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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en"><processing-meta tagset-family="jats" base-tagset="archiving" mathml-version="3.0" table-model="xhtml"><custom-meta-group><custom-meta assigning-authority="highwire" xlink:type="simple"><meta-name>recast-jats-build</meta-name><meta-value>1d2b230b09</meta-value></custom-meta></custom-meta-group></processing-meta><front><journal-meta><journal-id journal-id-type="hwp">jitc</journal-id><journal-id journal-id-type="nlm-ta">J Immunother Cancer</journal-id><journal-id journal-id-type="publisher-id">jitc</journal-id><journal-title-group><journal-title>Journal for ImmunoTherapy of Cancer</journal-title><abbrev-journal-title abbrev-type="publisher">J Immunother Cancer</abbrev-journal-title><abbrev-journal-title>J Immunother Cancer</abbrev-journal-title></journal-title-group><issn pub-type="epub">2051-1426</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">jitc-2020-001743</article-id><article-id pub-id-type="doi">10.1136/jitc-2020-001743</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/9/5/e001743.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Immune cell therapies and immune cell engineering</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Open access</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Immune Cell Therapies and Immune Cell Engineering</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Immune Cell Therapies and Immune Cell Engineering</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>Open access</subject></subj-group></subj-group><series-title>Original research</series-title></article-categories><title-group><article-title>Comparison of non-myeloablative lymphodepleting preconditioning regimens in patients undergoing adoptive T cell therapy</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes" id="author-73514918" xlink:type="simple"><name name-style="western"><surname>Nissani</surname><given-names>Abraham</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" equal-contrib="yes" id="author-82300760" xlink:type="simple"><name name-style="western"><surname>Lev-Ari</surname><given-names>Shaked</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" equal-contrib="yes" id="author-78326527" xlink:type="simple"><name name-style="western"><surname>Meirson</surname><given-names>Tomer</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" id="author-73514905" xlink:type="simple"><name name-style="western"><surname>Jacoby</surname><given-names>Elad</given-names></name><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author" id="author-78146816" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-4094-8045</contrib-id><name name-style="western"><surname>Asher</surname><given-names>Nethanel</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-78326295" xlink:type="simple"><name name-style="western"><surname>Ben-Betzalel</surname><given-names>Guy</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-73514893" xlink:type="simple"><name name-style="western"><surname>Itzhaki</surname><given-names>Orit</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-82301007" xlink:type="simple"><name name-style="western"><surname>Shapira-Frommer</surname><given-names>Ronnie</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author" id="author-73323466" xlink:type="simple"><name name-style="western"><surname>Schachter</surname><given-names>Jacob</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-75712164" xlink:type="simple"><name name-style="western"><surname>Markel</surname><given-names>Gal</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff6">6</xref></contrib><contrib contrib-type="author" corresp="yes" id="author-73322744" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-9233-0458</contrib-id><name name-style="western"><surname>Besser</surname><given-names>Michal J.</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff6">6</xref></contrib></contrib-group><aff id="aff1"><label>1</label><institution content-type="department" xlink:type="simple">Ella Lemelbaum Institute for Immuno-Oncology</institution>, <institution xlink:type="simple">Sheba Medical Center at Tel Hashomer</institution>, <addr-line content-type="city">Tel Hashomer</addr-line>, <country>Israel</country></aff><aff id="aff2"><label>2</label><institution content-type="department" xlink:type="simple">Azrieli Faculty of Medicine</institution>, <institution xlink:type="simple">Bar-Ilan University</institution>, <addr-line content-type="city">Safed</addr-line>, <country>Israel</country></aff><aff id="aff3"><label>3</label><institution content-type="department" xlink:type="simple">Division of Pediatric Hematology and Oncology, The Edmond and Lily Safra Children’s Hospital</institution>, <institution xlink:type="simple">Sheba Medical Center at Tel Hashomer</institution>, <addr-line content-type="city">Tel Hashomer</addr-line>, <country>Israel</country></aff><aff id="aff4"><label>4</label><institution content-type="department" xlink:type="simple">Department of Hematology</institution>, <institution xlink:type="simple">Tel Aviv University Sackler Faculty of Medicine</institution>, <addr-line content-type="city">Tel Aviv</addr-line>, <country>Israel</country></aff><aff id="aff5"><label>5</label><institution content-type="department" xlink:type="simple">Oncology Division</institution>, <institution xlink:type="simple">Sheba Medical Center at Tel Hashomer</institution>, <addr-line content-type="city">Tel Hashomer</addr-line>, <country>Israel</country></aff><aff id="aff6"><label>6</label><institution content-type="department" xlink:type="simple">Deparment of Clinical Microbiology and Immunology</institution>, <institution xlink:type="simple">Tel Aviv University, Sackler Faculty of Medicine</institution>, <addr-line content-type="city">Tel Aviv</addr-line>, <country>Israel</country></aff><author-notes><corresp><label>Correspondence to</label> Dr Michal J. Besser; <email xlink:type="simple">Michal.Besser@sheba.health.gov.il</email></corresp></author-notes><pub-date date-type="pub" iso-8601-date="2021-05" pub-type="ppub" publication-format="print"><month>5</month><year>2021</year></pub-date><pub-date date-type="pub" iso-8601-date="2021-05-14" pub-type="epub-original" publication-format="electronic"><day>14</day><month>5</month><year>2021</year></pub-date><pub-date iso-8601-date="2021-05-03T06:45:20-07:00" pub-type="hwp-received"><day>3</day><month>5</month><year>2021</year></pub-date><pub-date iso-8601-date="2021-05-03T06:45:20-07:00" pub-type="hwp-created"><day>3</day><month>5</month><year>2021</year></pub-date><volume>9</volume><issue>5</issue><elocation-id>e001743</elocation-id><history><date date-type="accepted" iso-8601-date="2021-03-19"><day>19</day><month>03</month><year>2021</year></date></history><permissions><copyright-statement>© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</copyright-statement><copyright-year>2021</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xlink:type="simple"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2021-05-14">http://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref><license-p>This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xlink:type="simple">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="jitc-2020-001743.pdf" xlink:type="simple"/><abstract><sec><title>Background</title><p>Adoptive cell therapy with T cells genetically engineered to express a chimeric antigen receptor (CAR-T) or tumor-infiltrating T lymphocytes (TIL) demonstrates impressive clinical results in patients with cancer. Lymphodepleting preconditioning prior to cell infusion is an integral part of all adoptive T cell therapies. However, to date, there is no standardization and no data comparing different non-myeloablative (NMA) regimens.</p></sec><sec><title>Methods</title><p>In this study, we compared NMA therapies with different doses of cyclophosphamide or total body irradiation (TBI) in combination with fludarabine and evaluated bone marrow suppression and recovery, cytokine serum levels, clinical response and adverse events.</p></sec><sec><title>Results</title><p>We demonstrate that a cumulative dose of 120 mg/kg cyclophosphamide and 125 mg/m<sup>2</sup> fludarabine (120Cy/125Flu) and 60Cy/125Flu preconditioning were equally efficient in achieving deep lymphopenia and neutropenia in patients with metastatic melanoma, whereas absolute lymphocyte counts (ALCs) and absolute neutrophil counts were significantly higher following 200 cGyTBI/75Flu-induced NMA. Thrombocytopenia was most profound in 120Cy/125Flu patients. 30Cy/75Flu-induced preconditioning in patients with acute lymphoblastic leukemia resulted in a minor ALC decrease, had no impact on platelet counts and did not yield deep neutropenia. Following cell infusion, 120Cy/125Flu patients with objective tumor response had significantly higher ALC and significant lower inflammatory indexes, such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). Receiver-operating characteristics curve analysis 7 days after cell infusion was performed to determine the cut-offs, which distinguish between responding and non-responding patients in the 120Cy/125Flu cohort. NLR≤1.79 and PLR≤32.7 were associated with clinical response and overall survival. Cytokine serum levels did not associate with clinical response in patients with TIL. Patients in the 120Cy/125Flu cohort developed significantly more acute NMA-related adverse events, including thrombocytopenia, febrile neutropenia and cardiotoxicity, and stayed significantly longer in hospital compared with the 60Cy/125Flu and TBI/75Flu cohorts.</p></sec><sec><title>Conclusions</title><p>Bone marrow depletion and recovery were equally affected by 120Cy/125Flu and 60Cy/125Flu preconditioning; however, toxicity and consequently duration of hospitalization were significantly lower in the 60Cy/125Flu cohort. Patients in the 30Cy/75Flu and TBI/75Flu groups rarely developed NMA-induced adverse events; however, both regimens were not efficient in achieving deep bone marrow suppression. Among the regimens, 60Cy/125Flu preconditioning seems to achieve maximum effect with minimum toxicity.</p></sec></abstract><kwd-group><kwd>immunotherapy</kwd><kwd>adoptive</kwd><kwd>lymphocytes</kwd><kwd>tumor-infiltrating</kwd><kwd>receptors</kwd><kwd>chimeric antigen</kwd><kwd>clinical trials</kwd><kwd>phase II as topic</kwd></kwd-group><custom-meta-group><custom-meta xlink:type="simple"><meta-name>special-feature</meta-name><meta-value>unlocked</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>special-property</meta-name><meta-value>contains-inline-supplementary-material</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Adoptive cell therapy (ACT) has become a standard treatment option for patients with cancer. T cells genetically engineered to express a chimeric antigen receptor (CAR) against CD19 obtained FDA approval for acute lymphoblastic leukemia (ALL) and non-Hodgkin’s lymphoma in 2017 and 2018.<xref ref-type="bibr" rid="R1">1</xref> In addition, phase 2, phase 3 and pivotal studies of ACT with tumor-infiltrating lymphocytes (TILs) are currently conducted in patients with metastatic melanoma<xref ref-type="bibr" rid="R2 R3 R4 R5">2–5</xref> and other solid tumor types.<xref ref-type="bibr" rid="R6 R7 R8 R9">6–9</xref> A common feature of all current T cell therapies, no matter if they use gene engineered T cells or TIL, is the non-myeloablative (NMA) lymphodepleting preconditioning of patients prior to cell infusion.</p><p>It has been demonstrated that NMA preconditioning of the host with cyclophosphamide (Cy) and fludarabine (Flu) or total body irradiation (TBI)<xref ref-type="bibr" rid="R10 R11">10 11</xref> enhances the survival, persistence and antitumor activity of the infused cells<xref ref-type="bibr" rid="R12 R13">12 13</xref> by the elimination of regulatory T cells, increase of homeostatic cytokines like interleukin (IL)-7 and IL-15, and elimination of resident T cells competing for these trophic cytokines.<xref ref-type="bibr" rid="R1 R13 R14 R15 R16">1 13–16</xref> Removal of cellular sinks, such as natural killer cells which compete for IL-7 and myeloid cells competing for IL-15, is required for proliferation and long-term survival of T cells.<xref ref-type="bibr" rid="R15 R17 R18">15 17 18</xref> Anthony <italic toggle="yes">et al</italic> demonstrated that IL-15 secretion, induced by inflammatory signals in response to lymphodepletion, drives CD8 T cell proliferation and promotes loss of tolerance against self-antigens, thereby enhancing the antitumor activity of T cells.<xref ref-type="bibr" rid="R19">19</xref> In a small series, Kochenderfer <italic toggle="yes">et al</italic> reported that post lymphodepletion, high serum IL-15 levels are associated with remissions of patients with lymphoma receiving CAR-T cell therapy.<xref ref-type="bibr" rid="R18">18</xref></p><p>NMA-induced bone marrow suppression and recovery can be monitored by measuring absolute lymphocyte, neutrophil and platelet counts in the blood of patients. Previously, we demonstrated that absolute lymphocyte counts (ALCs) 1 and 2 weeks post-TIL infusion were significantly correlated with objective response.<xref ref-type="bibr" rid="R2">2</xref> In addition, others could show that a combination of cell counts, defined as inflammatory indexes, can be used as prognostic factors for survival in different types of cancers.<xref ref-type="bibr" rid="R20 R21 R22 R23">20–23</xref> For example, several studies have reported that a high neutrophil-to-lymphocyte ratio (NLR) and a high platelet-to-lymphocyte ratio (PLR) predict poor survival in patients with stage I-III melanoma,<xref ref-type="bibr" rid="R24 R25">24 25</xref> in patients with diffuse large B cell lymphoma treated with the immunochemotherapy combination R-CHOP (rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine and prednisone)<xref ref-type="bibr" rid="R26 R27">26 27</xref> and in patients with metastatic melanoma treated with checkpoint inhibitors<xref ref-type="bibr" rid="R28">28</xref> or BRAF inhibitors.<xref ref-type="bibr" rid="R29">29</xref></p><p>Although there is a common consensus that NMA preconditioning is required to obtain a durable objective response in patients with cancer treated with adoptive T cell therapy, there is no study comparing the different NMA lymphodepleting regimens head-to-head.</p><p>Here, we systematically compare bone marrow suppression and recovery, the impact of NMA on inflammatory biomarkers, the effect on IL-15, IL-7 and IL-21 serum levels, and related adverse events following four different NMA therapies. In addition, we evaluate the impact of NMA on clinical response.</p></sec><sec id="s2"><title>Material and methods</title><sec id="s2-1"><title>Patients</title><p>Patients were enrolled to one of the three open-label, single arm, phase 2 trials. All patients were treated with T cell products manufactured in the same production facility at the Sheba Medical Center, as previously described.<xref ref-type="bibr" rid="R2 R9 R30">2 9 30</xref> Patients signed an informed consent approved by the Israeli Ministry of Health.</p><p>Patients with stage IV melanoma were treated with TIL ACT as salvage therapy after failure of multiple treatments. The ‘120Cy/125Flu’ cohort (<ext-link ext-link-type="clintrialgov" xlink:href="NCT00287131" xlink:type="simple">NCT00287131</ext-link>) received NMA conditioning regimen with cyclophosphamide (60 mg/kg for 2 days; days −7 and −6) and fludarabine (25 mg/m<sup>2</sup> for 5 days; days −5 to −1) before cell infusion (day 0) and the ‘60Cy/125Flu’ cohort cyclophosphamide (30 mg/kg for 2 days; days −5 and −4) and fludarabine (25 mg/m<sup>2</sup> for 5 days; days −5 to −1) (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03166397" xlink:type="simple">NCT03166397</ext-link>). The ‘TBI/75Flu’ cohort received TBI (200 cGy, on day −4) and fludarabine (25 mg/m<sup>2</sup> for 3 days; days −3 to −1) (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03166397" xlink:type="simple">NCT03166397</ext-link>). TILs were administered intravenously, followed by high-dose bolus IL-2 with 720,000 IU/kg/dose, maximum of three times a day, for 5 days or up to tolerance. Patients received filgrastim for 7–10 days starting 1 day after cell infusion. Response was assessed using the Response Evaluation Criteria in Solid Tumors (RECIST V.1.1) guidelines 4 weeks following TIL administration and every 3 months thereafter or as clinically needed. Objective responders (ORs) were defined as complete and partial responders and non-responders (NRs) as patients with stable disease or progressive disease by determining the best overall response using RECIST.</p><p>Relapsed or refractory (r/r) pediatric and adult patients with ALL were treated with anti-CD19 CAR-T cells (<ext-link ext-link-type="clintrialgov" xlink:href="NCT02772198" xlink:type="simple">NCT02772198</ext-link>). Lymphodepleting conditioning was induced by fludarabine 25 mg/m<sup>2</sup> for 3 days (days −2 to −4) and cyclophosphamide 900 mg/m<sup>2</sup> (which equals approximately 30 mg/kg Cy) for 1 day (day −2) (cohort ‘30Cy/75Flu’), followed by infusion of 1×10<sup>6</sup> transduced CAR-T cells per kilogram weight.<xref ref-type="bibr" rid="R9 R31">9 31</xref> Patients did not receive IL-2. For clinical evaluation of response, patients with ALL underwent a bone marrow aspiration 28 and 60 days following CAR-T cell administration, and disease assessment was performed by morphology, flow cytometry and PCR minimal residual disease based on immunoglobulin or T-cell receptor rearrangement, with a lower level of detection of 5–10 leukemia cells in 10,000–100,000 healthy cells.</p></sec><sec id="s2-2"><title>Cell counts and inflammatory indexes</title><p>Absolute neutrophil, platelet and lymphocyte counts were obtained before NMA initiation and up to 3 months after cell infusion. The following inflammatory indexes were calculated: NLR, defined as neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; and systemic immune-inflammatory index (SII), defined as absolute neutrophil count×absolute platelet count/absolute lymphocyte count. All cell counts were performed in a centralized, automated laboratory at the Sheba Medical Center.</p></sec><sec id="s2-3"><title>Cytokine levels</title><p>Patients’ serum was collected on day 0, before cell infusion. IL-7, IL-15 and IL-21 serum levels were determined by ELISA (IL-7, Human IL-7 Quantikine HS ELISA kit, R&amp;D Systems, Minneapolis, Minnesota, USA; IL-15 and IL-21, ELISA MAX Deluxe Set, BioLegend, San Diego, California, USA) according to the manufacturer’s instructions. Measurements were performed in duplicates.</p></sec><sec id="s2-4"><title>Statistical analysis</title><p>Significance of variation between groups was evaluated using a parametric two-tailed Student’s t-test. The differences between proportions were tested using two-sided Fisher’s exact test. Analysis of covariance was performed to examine differences in the mean values of patients’ characteristics on variable production parameters. Cell counts and inflammatory indexes were transformed to a logarithmic scale. Linear mixed models with Tukey’s adjustment were used to compare absolute cell counts and inflammatory indexes between responder groups or the different regimens. Eastern Cooperative Oncology Group (ECOG) performance status was modeled as fixed effect. Effect sizes were calculated as Cohen’s <italic toggle="yes">d</italic>. Linear mixed models were fit using the R statistical software (<ext-link ext-link-type="uri" xlink:href="www.r-project.org" xlink:type="simple">www.r-project.org</ext-link>). The receiver-operating characteristics (ROC) curve analysis was used to define sensitivity and specificity through the Youden’s index, and the area under the ROC curve (AUC) to find the optimal cut-off values for NLR, PLR and SII using the MedCalc V.18.11.6 (MedCalc Software). Survival curves were plotted by the Kaplan-Meier method, and differences between groups were assessed by the log-rank test using the Prism GraphPad V.8.0.1 (GraphPad Software).</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Cohorts</title><p>Between 2005 and 2016, 103 patients with metastatic melanoma were enrolled to a phase 2 ACT trial with TIL following preconditioning with an accumulating dose of 120 mg/kg cyclophosphamide and 125 mg/m<sup>2</sup> fludarabine<xref ref-type="bibr" rid="R2">2</xref> (120Cy/125Flu cohort; <xref ref-type="table" rid="T1">table 1</xref>). To analyze the impact of NMA on bone marrow suppression and recovery, absolute cell counts were collected, starting a few days before NMA initiation (baseline) and up to 3 months post therapy. Due to cyclophosphamide-induced toxicity (detailed later), a follow-up study was initiated. The cyclophosphamide dose was halved (60Cy/125Flu) or cyclophosphamide was replaced with 200 cGy TBI (<xref ref-type="table" rid="T1">table 1</xref>). In 2017 and 2018, nine patients with metastatic melanoma were enrolled to the TBI/75Flu group, and in 2019 and 2020, eight patients received 60Cy/125Flu-induced NMA. Patients in the 60Cy/125Flu cohort and those in the TBI/75Flu cohort did not respond to TIL therapy. The TIL manufacturing procedure was identical in all three cohorts. TILs were manufactured at the same Good Manufacturing Practice (GMP) facility and by the same staff.</p><table-wrap position="float" id="T1" orientation="portrait"><object-id pub-id-type="publisher-id">T1</object-id><label>Table 1</label><caption><p>Patient cohorts</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="2" colspan="1">Cohort</td><td align="left" valign="bottom" rowspan="2" colspan="1">ClinicalTrials identifier</td><td align="left" valign="bottom" rowspan="2" colspan="1">N</td><td align="left" valign="bottom" colspan="2" rowspan="1"> Cyclophosphamide</td><td align="left" valign="bottom" colspan="2" rowspan="1"> Fludarabine</td><td align="left" valign="bottom" colspan="2" rowspan="1">TBI</td><td align="left" valign="bottom" rowspan="2" colspan="1">Disease</td><td align="left" valign="bottom" rowspan="2" colspan="1">T cells</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">mg/kg</td><td align="left" valign="bottom" rowspan="1" colspan="1">Days</td><td align="left" valign="bottom" rowspan="1" colspan="1">mg/m<sup>2</sup></td><td align="left" valign="bottom" rowspan="1" colspan="1">Days</td><td align="left" valign="bottom" rowspan="1" colspan="1">cGy</td><td align="left" valign="bottom" rowspan="1" colspan="1">Days</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">120Cy/125Flu</td><td align="left" valign="top" rowspan="1" colspan="1">NCT00287131</td><td align="left" valign="top" rowspan="1" colspan="1">103</td><td align="left" valign="top" rowspan="1" colspan="1">2×60</td><td align="left" valign="top" rowspan="1" colspan="1">−7 to −6</td><td align="left" valign="top" rowspan="1" colspan="1">5×25</td><td align="left" valign="top" rowspan="1" colspan="1">−5 to −1</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">TIL</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">60Cy/125Flu</td><td align="left" valign="top" rowspan="1" colspan="1">NCT03166397</td><td align="left" valign="top" rowspan="1" colspan="1">8</td><td align="left" valign="top" rowspan="1" colspan="1">2×30</td><td align="left" valign="top" rowspan="1" colspan="1">−5 to −4</td><td align="left" valign="top" rowspan="1" colspan="1">5×25</td><td align="left" valign="top" rowspan="1" colspan="1">−5 to −1</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">TIL</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">TBI/75Flu</td><td align="left" valign="top" rowspan="1" colspan="1">NCT03166397</td><td align="left" valign="top" rowspan="1" colspan="1">9</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">3×25</td><td align="left" valign="top" rowspan="1" colspan="1">−3 to −1</td><td align="left" valign="top" rowspan="1" colspan="1">1×200</td><td align="left" valign="top" rowspan="1" colspan="1">−4</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">TIL</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">30Cy/75Flu</td><td align="left" valign="top" rowspan="1" colspan="1">NCT02772198</td><td align="left" valign="top" rowspan="1" colspan="1">19</td><td align="left" valign="top" rowspan="1" colspan="1">1×~30*</td><td align="left" valign="top" rowspan="1" colspan="1">−2</td><td align="left" valign="top" rowspan="1" colspan="1">3×25</td><td align="left" valign="top" rowspan="1" colspan="1">−4 to −2</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">ALL</td><td align="left" valign="top" rowspan="1" colspan="1">CAR-T</td></tr></tbody></table><table-wrap-foot><fn id="T1_FN1"><p>*900 mg/m<sup>2</sup>.</p></fn><fn id="T1_FN2"><p>ALL, acute lymphocytic leukemia; CAR-T, chimeric antigen receptor T cell; Cy, cyclophosphamide; Flu, fludarabine; TBI, total body irradiation; TIL, tumor-infiltrating T lymphocyte.</p></fn></table-wrap-foot></table-wrap><p>The three melanoma cohorts were well matched for most baseline characteristics (eg, ECOG performance status) but were significantly different with respect to prior treatments (<xref ref-type="table" rid="T2">table 2</xref>). Most patients in the 120Cy/125Flu cohort were treated in the pre-immune checkpoint inhibitor (pre-ICI) era, whereas patients in the 60Cy/125Flu and TBI/75Flu cohorts were all treated after treatment failure with ICIs.</p><table-wrap position="float" id="T2" orientation="portrait"><object-id pub-id-type="publisher-id">T2</object-id><label>Table 2</label><caption><p>Baseline and treatment characteristics of the three metastatic melanoma cohorts</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="2" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1">120Cy/125Flu patients</td><td align="left" valign="bottom" rowspan="1" colspan="1">60Cy/125Flu patients</td><td align="left" valign="bottom" rowspan="1" colspan="1">TBI/75Flu patients</td><td align="left" valign="bottom" rowspan="1" colspan="1">120Cy/125Flu vs 60cy/125Flu</td><td align="left" valign="bottom" rowspan="1" colspan="1">120Cy/125Flu vs TBI/75Flu</td><td align="left" valign="bottom" rowspan="1" colspan="1">60Cy/125Flu vs TBI/75Flu</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">N=103</td><td align="left" valign="bottom" rowspan="1" colspan="1">N=8</td><td align="left" valign="bottom" rowspan="1" colspan="1">N=9</td><td align="left" valign="bottom" rowspan="1" colspan="1">P value</td><td align="left" valign="bottom" rowspan="1" colspan="1">P value</td><td align="left" valign="bottom" rowspan="1" colspan="1">P value</td></tr></thead><tbody><tr><td align="left" valign="top" colspan="7" rowspan="1"><bold>Baseline characteristics</bold></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Mean age, years</td><td align="left" valign="top" rowspan="1" colspan="1">51±12</td><td align="left" valign="top" rowspan="1" colspan="1">53±9</td><td align="left" valign="top" rowspan="1" colspan="1">51±12</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.646</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Male</td><td align="left" valign="top" rowspan="1" colspan="1">66 (64%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (50%)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (67%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.464</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.637</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1">ECOG performance status*, n (%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> 0</td><td align="left" valign="top" rowspan="1" colspan="1">58 (56%)</td><td align="left" valign="top" rowspan="1" colspan="1">5 (62.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (89%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.079</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.294</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> 1</td><td align="left" valign="top" rowspan="1" colspan="1">37 (36%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (37.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (11%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.164</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.294</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> 2</td><td align="left" valign="top" rowspan="1" colspan="1">8 (8%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1">M stage†, n (%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> IIIc</td><td align="left" valign="top" rowspan="1" colspan="1">1 (1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> M1a</td><td align="left" valign="top" rowspan="1" colspan="1">7 (7%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> M1b</td><td align="left" valign="top" rowspan="1" colspan="1">12 (12%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (11%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (13%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> M1c</td><td align="left" valign="top" rowspan="1" colspan="1">83 (81%)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (89%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (87%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> LDH level above normal, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1">42 (41%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (37.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (67%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.168</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.347</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> CNS metastases at baseline, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1">23 (22%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (25%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (33%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.431</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> More than 5 metastases, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1">78 (76%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (50%)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (89%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.203</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.682</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.131</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> HLA-A0201 positive, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1">25 of 102 (25%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">3 of 8 (38%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.194</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.417</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.228</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1">Previous therapy for metastatic disease, n (%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> At least one prior therapy</td><td align="left" valign="top" rowspan="1" colspan="1">103 (100%)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (100%)</td><td align="left" valign="top" rowspan="1" colspan="1">9 (100%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Chemotherapy</td><td align="left" valign="top" rowspan="1" colspan="1">20 (19%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (50%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (22%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.065</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.335</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Chemobiotherapy</td><td align="left" valign="top" rowspan="1" colspan="1">55 (53%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.006</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.003</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> High-dose bolus IL-2 therapy</td><td align="left" valign="top" rowspan="1" colspan="1">16 (16%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.599</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.354</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Any other IL-2-based therapy</td><td align="left" valign="top" rowspan="1" colspan="1">10 (10%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Anti-CTLA4 antibody single therapy</td><td align="left" valign="top" rowspan="1" colspan="1">34 (33%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">2 (22%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.104</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.716</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.471</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Anti-PD1 antibody single therapy</td><td align="left" valign="top" rowspan="1" colspan="1">15 (15%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">4 (44%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.595</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.044</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.082</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Anti-PD1+CTLA4 combo therapy</td><td align="left" valign="top" rowspan="1" colspan="1">2 (2%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">7 (78%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">≤0.001</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.002</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Targeted therapy (BRAFI±MEKI)</td><td align="left" valign="top" rowspan="1" colspan="1">15 (15%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (13%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (33%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.157</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.577</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Other treatment</td><td align="left" valign="top" rowspan="1" colspan="1">3 (3%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (88%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (11%)</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">≤0.001</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.288</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.003</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1"><bold>Infusion product characteristics</bold></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Total cell number (×10<sup>9</sup>)</td><td align="left" valign="top" rowspan="1" colspan="1">49±24</td><td align="left" valign="top" rowspan="1" colspan="1">40.5±19.7</td><td align="left" valign="top" rowspan="1" colspan="1">44.9±22</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.332</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.622</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.672</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> CD8 frequency (%)</td><td align="left" valign="top" rowspan="1" colspan="1">59±25</td><td align="left" valign="top" rowspan="1" colspan="1">51.3±17.9</td><td align="left" valign="top" rowspan="1" colspan="1">31.7±27.1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.396</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.002</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.103</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> CD4 frequency (%)</td><td align="left" valign="top" rowspan="1" colspan="1">41±25</td><td align="left" valign="top" rowspan="1" colspan="1">48.2±17.4</td><td align="left" valign="top" rowspan="1" colspan="1">66.3±28.3</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.427</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.005</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.139</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1"><bold>NMA-related adverse events, days of hospitalization and transfusion units</bold></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Days of hospitalization, median</td><td align="left" valign="top" rowspan="1" colspan="1">20.8±5.1</td><td align="left" valign="top" rowspan="1" colspan="1">15.4±1.5</td><td align="left" valign="top" rowspan="1" colspan="1">13.7±1.4</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.004</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">≤0.001</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.029</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1">Chemotherapy-related toxicity (grade 3–5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Febrile neutropenia</td><td align="left" valign="top" rowspan="1" colspan="1">94 (91%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (50%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.001</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">≤0.001</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.029</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Thyroid cancer</td><td align="left" valign="top" rowspan="1" colspan="1">1 (1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Fatal myelodysplastic syndrome</td><td align="left" valign="top" rowspan="1" colspan="1">1 (1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1">Chemotherapy-related toxicity (grade 5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Cyclophosphamide-induced fatal cardiomyopathy</td><td align="left" valign="top" rowspan="1" colspan="1">3 additional, unevaluated patients</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" colspan="7" rowspan="1">Transfusion data</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> No of RC units, average</td><td align="left" valign="top" rowspan="1" colspan="1">4.7±5.8</td><td align="left" valign="top" rowspan="1" colspan="1">0.63±0.92</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.055</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.019</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.057</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> No of PLT units, average</td><td align="left" valign="top" rowspan="1" colspan="1">24.8±35.4</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.051</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">0.039</td><td align="left" valign="top" style="background-color:#E7E6E6" rowspan="1" colspan="1">1</td></tr></tbody></table><table-wrap-foot><fn id="T2_FN1"><p>*ECOG Eastern Cooperative Oncology Group (ECOG) status ranges from 0 to 5, with higher scores indicating greater impairment (5 indicates death).</p></fn><fn id="T2_FN2"><p>†The metastasis (M) stage was classified according to the tumor-node-metastasis (TNM) categorization for melanoma of the American Joint Committee on Cancer.</p></fn><fn id="T2_FN3"><p>CNS, central nervous system; CTLA4, cytotoxic T-lymphocyte-associated protein 4; Cy, cyclophosphamide; Flu, fludarabine; HLA, human leukocyte antigen; IL, interleukin; LDH, lactate dehydrogenase; NMA, non-myeloablative; PD1, Programmed cell death protein 1; PLT, platelets; RC, red cells; TBI, total body irradiation.</p></fn></table-wrap-foot></table-wrap><p>Simultaneously, CD19 CAR-T therapy was conducted at our clinical center and both TIL and CAR-T were produced at the same GMP cell production facility. Between 2016 and 2019, patients with r/r ALL were treated with CD19 CAR-T cells following NMA with fludarabine and cyclophosphamide 900 mg/m<sup>2</sup> (which equals approximately 30 mg/kg Cy) (‘30Cy/75Flu’ cohort). Absolute cell counts were acquired from 19 patients, including 13 complete responders and 6 NRs. The patients received, on average, 4.0±1.2 prior treatments and 2 of 19 (11%) patients had brain metastasis. The 30Cy/125Flu ALL cohort included pediatric patients, thus the average age was low in this cohort. Since patients in the 30Cy/125Flu cohort had a different underlying disease and were treated with CAR-T cells instead of TIL, the results of this cohort will be demonstrated separately.</p></sec><sec id="s3-2"><title>Bone marrow suppression</title><p>To evaluate the impact of the different preconditioning regimens on bone marrow suppression, absolute cell counts were monitored in the three melanoma groups (<xref ref-type="fig" rid="F1">figure 1</xref>) and the ALL cohort (discussed later). Cell counts were performed in a centralized, automated laboratory. The number of patients with available cell counts per day is shown in <xref ref-type="supplementary-material" rid="SP4">online supplemental table 1</xref>. The day of cell infusion was defined as ‘day 0’.</p><supplementary-material id="SP4" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP4</object-id><object-id pub-id-type="doi">10.1136/jitc-2020-001743.supp4</object-id><label>Supplementary data</label><p><inline-supplementary-material id="SS4" xlink:href="jitc-2020-001743supp004.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/></p></supplementary-material><fig position="float" id="F1" orientation="portrait"><object-id pub-id-type="publisher-id">F1</object-id><label>Figure 1</label><caption><p>Cell counts following non-myeloablative lymphodepletion. (A) Absolute neutrophil count (ANC), (B) absolute lymphocyte count (ALC) and (C) absolute platelet count (APC). (D–F) Comparison of ALC between (D) the 120Cy/175Flu and 60Cy/175Flu cohorts, (E) the 120Cy/175Flu and TBI/75Flu cohorts and (F) the 60Cy/125Flu and TBI/75Flu cohorts. Day 0, day of cell infusion. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001 and ****p&lt;0.0001. Cy, cyclophosphamide; Flu, fludarabine; TBI, total body irradiation.</p></caption><graphic xlink:href="jitc-2020-001743f01" position="float" orientation="portrait" xlink:type="simple"/></fig><p>One hundred and one of 103 (98%) patients in the 120Cy/125Flu and 100% (8 of 8) patients in the 60Cy/125Flu cohort achieved severe neutropenia, defined as absolute neutrophil count (ANC)≤0.5 K/µL. The lowest values of ANC were found 3 days after cell infusion in the 120Cy/125Flu group (0.065±0.230 K/µL; median 0.025 K/µL) and 4 days after cell infusion in the 60Cy/125Flu cohort (0.050±0.044 K/µL; median 0.030 K/µL) (p=0.871) (<xref ref-type="fig" rid="F1">figure 1A</xref>, <xref ref-type="table" rid="T3">table 3</xref> and <xref ref-type="supplementary-material" rid="SP1">online supplemental figure 1</xref>). TBI/75Flu preconditioning did not result in severe neutropenia and the lowest value was 1.088±0.541 K/µL (median 1.100 K/µL) 1 month after cell infusion. In contrast, five of nine (56%) patients in the TBI/75Flu cohort demonstrated even a sharp increase of ANC, with values between 13.03 and 16.13 K/µL 1 day after cell infusion when the normal range for neutrophils is between 1.8 and 7.7 K/µL (<xref ref-type="fig" rid="F1">figure 1A</xref>).</p><supplementary-material id="SP1" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP1</object-id><object-id pub-id-type="doi">10.1136/jitc-2020-001743.supp1</object-id><label>Supplementary data</label><p><inline-supplementary-material id="SS1" xlink:href="jitc-2020-001743supp001.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/></p></supplementary-material><table-wrap position="float" id="T3" orientation="portrait"><object-id pub-id-type="publisher-id">T3</object-id><label>Table 3</label><caption><p>Lowest values of absolute cell counts</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" colspan="3" rowspan="1">ANC (K/µL)</td><td align="left" valign="bottom" colspan="3" rowspan="1">ALC (K/µL)</td><td align="left" valign="bottom" colspan="3" rowspan="1">APC (K/µL)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Normal level</td><td align="left" valign="bottom" colspan="3" rowspan="1">1.8–7.7</td><td align="left" valign="bottom" colspan="3" rowspan="1">1.0–4.8</td><td align="left" valign="bottom" colspan="3" rowspan="1">130–440</td></tr><tr><td align="left" valign="bottom" rowspan="2" colspan="1"/><td align="left" valign="bottom" colspan="2" rowspan="1">Lowest value</td><td align="left" valign="bottom" rowspan="2" colspan="1">Day</td><td align="left" valign="bottom" colspan="2" rowspan="1">Lowest value</td><td align="left" valign="bottom" rowspan="2" colspan="1">Day</td><td align="left" valign="bottom" colspan="2" rowspan="1">Lowest value</td><td align="left" valign="bottom" rowspan="2" colspan="1">Day</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Average±SD</td><td align="left" valign="bottom" rowspan="1" colspan="1">Median</td><td align="left" valign="bottom" rowspan="1" colspan="1">Average±SD</td><td align="left" valign="bottom" rowspan="1" colspan="1">Median</td><td align="left" valign="bottom" rowspan="1" colspan="1">Average±SD</td><td align="left" valign="bottom" rowspan="1" colspan="1">Median</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">120Cy/125Flu</td><td align="left" valign="top" rowspan="1" colspan="1">0.065±0.230</td><td align="left" valign="top" rowspan="1" colspan="1">0.025</td><td align="left" valign="top" rowspan="1" colspan="1">3</td><td align="left" valign="top" rowspan="1" colspan="1">0.029±0.036</td><td align="left" valign="top" rowspan="1" colspan="1">0.020</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">34±26</td><td align="left" valign="top" rowspan="1" colspan="1">26</td><td align="left" valign="top" rowspan="1" colspan="1">5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">60Cy/125Flu</td><td align="left" valign="top" rowspan="1" colspan="1">0.050±0.044</td><td align="left" valign="top" rowspan="1" colspan="1">0.030</td><td align="left" valign="top" rowspan="1" colspan="1">4</td><td align="left" valign="top" rowspan="1" colspan="1">0.024±0.017</td><td align="left" valign="top" rowspan="1" colspan="1">0.025</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">115±51</td><td align="left" valign="top" rowspan="1" colspan="1">103</td><td align="left" valign="top" rowspan="1" colspan="1">3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">TBI/75Flu</td><td align="left" valign="top" rowspan="1" colspan="1">1.088±0.541</td><td align="left" valign="top" rowspan="1" colspan="1">1.100</td><td align="left" valign="top" rowspan="1" colspan="1">22–30</td><td align="left" valign="top" rowspan="1" colspan="1">0.062±0.046</td><td align="left" valign="top" rowspan="1" colspan="1">0.050</td><td align="left" valign="top" rowspan="1" colspan="1">1</td><td align="left" valign="top" rowspan="1" colspan="1">99±51</td><td align="left" valign="top" rowspan="1" colspan="1">91</td><td align="left" valign="top" rowspan="1" colspan="1">15–21</td></tr></tbody></table><table-wrap-foot><fn id="T3_FN1"><p>ALC, absolute lymphocyte count; ANC, absolute neutrophil count; APC, absolute platelet count; Cy, cyclophosphamide; Flu, fludarabine; TBI, total body irradiation.</p></fn></table-wrap-foot></table-wrap><p>Similar results were observed for ALC (<xref ref-type="fig" rid="F1">figure 1B</xref> and <xref ref-type="table" rid="T3">table 3</xref>). 120Cy/125Flu and 60Cy/125Flu preconditioning were equally effective in achieving deep lymphodepletion, with lowest average values of 0.029±0.036 K/µL (median 0.020 K/µL) and 0.024±0.017 K/µL (median 0.025 K/µL) on the day of cell infusion in the 120Cy/125Flu and 60Cy/125Flu cohorts, respectively (p=0.389), when normal values are between 1.0 and 4.8 K/µL. A direct comparison of the ALC in the 120Cy/125Flu and 60Cy/125Flu cohorts over time is shown in <xref ref-type="fig" rid="F1">figure 1D</xref>. Administration of cyclophosphamide in the 120Cy/125Flu cohort was initiated on day −7 and in 60Cy/125Flu cohort on day −5, which explains the difference of ALC on days −4 and −3. In the TBI/Flu cohort, only a minor decrease in ALC was achieved (lowest value: 0.062±0.046 K/µL; median 0.050 K/µL; on day +1) (<xref ref-type="fig" rid="F1">figure 1B</xref>). Lymphodepletion was significantly less efficient compared with the 120Cy/125Flu and 60Cy/125Flu cohorts (p values≤0.01; <xref ref-type="fig" rid="F1">figure 1E and F</xref>).</p><p>Platelet counts at baseline were normal in the three melanoma cohorts (120Cy/125Flu cohort, 281±96 K/µL; 60Cy/125Flu cohort, 341±121 K/µL; TBI/75Flu cohort, 299±82 K/µL). In the 120Cy/125Flu and 60Cy/125Flu cohorts, an APC decrease was observed following NMA initiation; however, in the 120Cy/125Flu cohort, values were significantly lower (120Cy/125Flu, lowest value 34±26 K/µL, median 26 K/µL; 60Cy/125Flu cohort, lowest value 115±51 K/µL, median 103 K/µL; p≤0.001) (<xref ref-type="fig" rid="F1">figure 1C</xref> and <xref ref-type="supplementary-material" rid="SP1">online supplemental figure 1D–F</xref>).</p><p>In conclusion, 120Cy/125Flu and 60Cy/125Flu preconditioning were equally efficient in achieving deep lymphopenia and neutropenia, which was not the case for TBI/75Flu NMA.</p></sec><sec id="s3-3"><title>Bone marrow recovery</title><p>Both in the 120Cy/125Flu and 60Cy/125Flu cohorts, the patients recovered by day 6 and day 7 from their severe neutropenia, and counts within the norm (1.8–7.7 K/µL) were measured (120Cy/125Flu cohort, 3.63±5.22 K/µL, median 1.54 K/µL; 60Cy/125Flu cohort, 3.01±2.03 K/µL, median 2.73 K/µL) (<xref ref-type="fig" rid="F1">figure 1A</xref>).</p><p>Interestingly, although TBI/75Flu-induced NMA caused a sharp increase of ANC 1 day after cell infusion followed by mild neutropenia, neutrophil recovery was delayed and baseline levels were only reached after 1 month.</p><p>Recovery of ALC was observed in all the cohorts 4–7 days after cell infusion and returned to the normal range of values (<xref ref-type="fig" rid="F1">figure 1B</xref>). The duration of severe lymphopenia was 7 days in the 120Cy/125Flu and 60Cy/125Flu cohorts, but only 2 days in the TBI/75Flu cohort.</p><p>Platelet recovery was found 12–14 days after cell infusion in the 120Cy/125Flu cohort. In the TBI/75Flu cohort, APC steadily decreased over time and 50% (three out of six) of the patients had prolonged thrombocytopenia around 3 weeks after cell infusion (<xref ref-type="fig" rid="F1">figure 1C</xref>).</p></sec><sec id="s3-4"><title>Impact of NMA on clinical response</title><p>To evaluate if bone marrow suppression and recovery can serve as predictive markers of clinical response, we analyzed the cell counts in the 120Cy/125Flu melanoma patient cohort (ORs, N=29; NRs, N=74). The baseline characteristics of responders and non-responders were previously reported and multivariate logistic regression revealed that ECOG performance status was an independent factor of response in this cohort.<xref ref-type="bibr" rid="R2">2</xref></p><p>Responding and non-responding patients had similar ANC, ALC and APC at baseline (p=0.953, p=0.497 and p=0.343) (<xref ref-type="fig" rid="F2">figure 2A–C</xref>). Following NMA initiation, there was no significant difference between responders and non-responders regarding ANC (d=0.083, p=0.508) (<xref ref-type="fig" rid="F2">figure 2A</xref>) and APC (d=0.007, p=0.972) (<xref ref-type="fig" rid="F2">figure 2C</xref>). However, ALCs were significantly different (d=0.605, p=≤0.001) (<xref ref-type="fig" rid="F2">figure 2B</xref>). From day 4 onwards, OR patients had significantly higher lymphocyte counts, with the highest significant difference between days 5 and 21 (p values≤0.001). Absolute cell counts were further compared between ORs (N=29) and NRs (N=29), which were matched for baseline characteristics, including ECOG and prior treatments (<xref ref-type="supplementary-material" rid="SP2">online supplemental figure 2A–C</xref>), as well as the entire cohort, excluding patients with ECOG 2 and prior anti-PD1 therapy (OR, N=28; NR, N=53) (<xref ref-type="supplementary-material" rid="SP2">online supplemental figure 2D–F</xref>) and demonstrated the same results.</p><supplementary-material id="SP2" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP2</object-id><object-id pub-id-type="doi">10.1136/jitc-2020-001743.supp2</object-id><label>Supplementary data</label><p><inline-supplementary-material id="SS2" xlink:href="jitc-2020-001743supp002.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/></p></supplementary-material><fig position="float" id="F2" orientation="portrait"><object-id pub-id-type="publisher-id">F2</object-id><label>Figure 2</label><caption><p>Absolute cell counts and inflammatory ratios of responders and non-responders in the 120Cy/125Flu cohort. (A) Absolute neutrophil count (ANC), (B) absolute lymphocyte count (ALC) and (C) absolute platelet count (APC), (D) platelet-to-neutrophil ratio (PLR), (E) neutrophil-to-lymphocyte ratio (NLR) and (F) systemic immune-inflammatory index (SII) of objective responders (ORs) and non-responders (NRs). Data are shown as mean±SEM. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001 and ****p&lt;0.0001. Cy, cyclophosphamide (Cy); Flu, fludarabine.</p></caption><graphic xlink:href="jitc-2020-001743f02" position="float" orientation="portrait" xlink:type="simple"/></fig></sec><sec id="s3-5"><title>Inflammatory indexes as prognostic factors for response and overall survival in the 120Cy/125Flu melanoma cohort</title><p>It was shown that the combination of absolute cell counts, defined as inflammatory indexes, can be used as a prognostic factor for response and survival in different types of cancer and may be more significant than individual counts. ORs in the 120Cy/125Flu melanoma cohort had significantly lower PLR, NLR and SII from day 5 onwards (<xref ref-type="fig" rid="F2">figure 2D</xref>).</p><p>ROC curves were used to obtain the optimal inflammatory indexes cut-offs on day 7, which distinguish between ORs and NRs. The optimal cut-off for NLR was 1.79, for PLR 32.7 and for SII 368 K/µL.</p><p>We found that 61% (17 of 28) of OR patients compared with 24% (16 of 66) of NR patients had an NLR ≤1.79 (p=0.002) and 61% (17 of 28) of the responders compared with 15% of the NRs had a PLR ≤32.7 (p≤0.001). SII on day 7 could not be used to distinguish between OR and NR patients.</p><p>Kaplan-Meier analysis indicated that lower values of NLR and PLR were also significantly associated with prolonged overall survival (OS) in the 120Cy/125Flu cohort. As shown in <xref ref-type="fig" rid="F3">figure 3</xref>, patients with NLR≤1.79 had a median OS of 23 months compared with 13.5 months for patients with NLR&gt;1.79 months (p=0.011); patients with PLR≤32.7 had a median OS of 39 months compared with 12.5 months for patients with PLR&gt;32.7 (p=≤0.001).</p><fig position="float" id="F3" orientation="portrait"><object-id pub-id-type="publisher-id">F3</object-id><label>Figure 3</label><caption><p>Kaplan-Meier curves for assessment of median overall survival. Kaplan-Meier curves for the inflammatory indexes (A) NLR and (B) PLR according to cut-off values received by ROC curve analysis. Survival analysis was performed by the log-rank test. ROC, Receiver operating characteristics; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; .</p></caption><graphic xlink:href="jitc-2020-001743f03" position="float" orientation="portrait" xlink:type="simple"/></fig></sec><sec id="s3-6"><title>Impact of NMA on IL-7, IL-15 and IL-21 serum levels</title><p>To determine the impact of the different lymphodepleting regimens on cytokine levels, ELISA assays were performed with serum samples collected after completion of NMA and before cell infusion (day 0). Serum was available from patients with melanoma in the 120Cy/125Flu cohort (N=24, including 12 ORs and 12 NRs), 60Cy/125Flu cohort (N=7) and TBI/75Flu cohort (N=8).</p><p>IL-7 serum levels were significantly lower following TBI/75Flu-induced lymphodepletion compared with 120Cy/125Flu NMA (TBI/75Flu cohort, 12.0±7.0 pg/mL; 120Cy/125Flu cohort, 19.0±5.7 pg/mL; p=0.008) (<xref ref-type="fig" rid="F4">figure 4A</xref>). IL-15 serum levels were insignificantly different in all three cohorts (<xref ref-type="fig" rid="F4">figure 4B</xref>). Patients in the 60Cy/125Flu cohort had significantly higher IL-21 serum levels (240±116 pg/mL) than patients from the TBI/75Flu cohort (122±101 pg/mL; p=0.048) and 120Cy/125Flu cohort (124±71 pg/mL; p=0.002) (<xref ref-type="fig" rid="F4">figure 4C</xref>).</p><fig position="float" id="F4" orientation="portrait"><object-id pub-id-type="publisher-id">F4</object-id><label>Figure 4</label><caption><p>Cytokine serum levels on the day of cell infusion. (A) IL-7, (B) IL-15 and (C) IL-21. (D–F) Comparison of cytokine serum levels between objective responders (ORs) and non-responders (NRs) in the 120Cy/125Flu cohort. Data are shown as mean±SEM analyzed using a non-parametric two-tailed Student’s t-test. *p&lt;0.05 and **p&lt;0.01. Cy, cyclophosphamide; Flu, fludarabine; IL, interleukin; TBI, total body irradiation.</p></caption><graphic xlink:href="jitc-2020-001743f04" position="float" orientation="portrait" xlink:type="simple"/></fig><p>No significant differences between IL-7 (p=0.252), IL-15 (p=0.902) and IL-21 (p=0.140) serum levels were observed between ORs (N=12) and NRs (N=12) in the 120Cy/125Flu cohort (<xref ref-type="fig" rid="F4">figure 4D</xref>).</p></sec><sec id="s3-7"><title>NMA-related toxicity</title><sec id="s3-7-1"><title>120Cy/125Flu cohort</title><p>The NMA, TIL and high-dose IL-2 toxicity profiles in the 120Cy/125Flu cohort were recently published.<xref ref-type="bibr" rid="R2">2</xref> <xref ref-type="table" rid="T2">Table 2</xref> shows NMA-related adverse events. In short, most 120Cy/125Flu-related toxicities were manageable, while the most common adverse effect was acute grade 3–4 neutropenic fever affecting 91% (94 of 103) of the patients. Administration of high-dose cyclophosphamide at a dose of 60 mg/kg for 2 days required antiemetic treatment adjusted for high emetogenic-risk chemotherapy, yet steroid treatment was avoided. The use of antiemetics during days −7 to −5 of hospitalization (starting prior to the cyclophosphamide infusion) increased the level of tolerability of the infusion of high-dose cyclophosphamide chemotherapy. Mild nausea, jaw discomfort or headaches during infusion were the most commonly reported immediate side effects. No hemorrhagic cystitis was noted. No acute drug-related side effects were found to be correlated with the infusion of fludarabine for 5 days . Patients reported lack of appetite, mild nausea and fatigue. Ninety-one of 103 (88%) and 79 of 102 (77%) patients required red cells (RCs) (4.7±5.8 units) and/or platelet (PLT) transfusions (24.8±35.4 units) to prevent complications from anemia or bleeding. The average duration of hospitalization from NMA admission to discharge was 20.8±5.1 days.</p><p>Of note, there were three cases of early deaths, all considered to be related to cyclophosphamide induced cardiotoxicity. All cases presented with symptoms of acute heart failure before TIL infusion. High-dose cyclophosphamide is known to cause cardiotoxicity in 7%–28% of patients and cyclophosphamide-induced mortality has been described in 11%–43% of patients at a dose of 170–180 mg/kg.<xref ref-type="bibr" rid="R32">32</xref></p><p>As for late toxicity of chemotherapy, one patient developed papillary thyroid cancer 3.5 years after TIL therapy, which was successfully treated surgically, and one patient was diagnosed with myelodysplastic syndrome followed by acute leukemia 4.5 years after therapy.</p></sec><sec id="s3-7-2"><title>60Cy/125Flu cohort</title><p>Due to the high-dose cyclophosphamide-induced toxicities, we investigated the possibility of reducing or replacing cyclophosphamide. 60Cy/125Flu-related toxicities are detailed in <xref ref-type="table" rid="T2">table 2</xref>. Decreasing the cyclophosphamide doses from 2×60 mg/kg (120Cy) to 2×30 mg/kg (60Cy) resulted in a significantly lower number of cases with grade 3–4 febrile neutropenia (60Cy/125Flu cohort, 50% vs 91%, 120Cy/125 Flu cohort; p=0.001) and shorter time of hospitalization (15.4±1.5 days vs 20.8±5.1; p=0.004). Three of eight patients developed anemia, which required RC transfusions (0.63±0.92 units vs 4.7±5.8 units; p=0.055) and no patient experienced thrombocytopenia, which required transfusion of platelets (p=0.039). There was no fatality.</p></sec><sec id="s3-7-3"><title>TBI/75Flu cohort</title><p>Acute toxicities were in general considerably mild in this cohort, which is reflected in a significantly shorter hospital stay (TBI/75Flu cohort 13.7±1.4, 120Cy/125Flu cohort 20.8±5.1 days; p≤0.001) (<xref ref-type="table" rid="T2">table 2</xref>). No patient in the TBI/75Flu cohort experienced chemotherapy-related febrile neutropenia and no patient required RC and PLT transfusions.</p></sec></sec><sec id="s3-8"><title>30Cy/75Flu ALL cohort</title><p>The 30Cy/75Flu cohort differed in many aspects from the other three cohorts. Patients in the 30Cy/75Flu group suffered from ALL (instead of metastatic melanoma), were treated with CAR-T (instead of TIL), did not receive IL-2 administration following infusion (instead of high-dose bolus IL-2) and received prior lines of chemotherapies, which is uncommon for patients with metastatic melanoma. Therefore, this population is discussed here separately.</p><p>30Cy/75Flu preconditioning in the ALL cohort did not yield deep neutropenia (<xref ref-type="supplementary-material" rid="SP3">online supplemental figure 3A</xref>). The lowest ANC value was 0.835±0.966 K/µL (median 0.537 K/µL) 9–11 days after cell infusion. In addition, only a minor decrease in ALC was achieved (lowest values: 0.164±0.167 K/µL; median 0.367, on day +1) (<xref ref-type="supplementary-material" rid="SP3">online supplemental figure 3B</xref>). Platelet counts were already low at baseline (119±105 K/µL; median 95 K/µL) (<xref ref-type="supplementary-material" rid="SP3">online supplemental figure 3C</xref>). Baseline thrombocytopenia might be a result of leukemic infiltration of the bone marrow or extensive prior chemotherapy treatments. APCs were low, but unchanged from baseline and up to 3 months post therapy.</p><supplementary-material id="SP3" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP3</object-id><object-id pub-id-type="doi">10.1136/jitc-2020-001743.supp3</object-id><label>Supplementary data</label><p><inline-supplementary-material id="SS3" xlink:href="jitc-2020-001743supp003.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/></p></supplementary-material><p>Comparing OR (N=13) and NR (N=6) patients of the 30Cy/75Flu cohort, there was no significant difference in ANC (OR vs NR; d=1.380, p=0.053) and ALC (d=−0.246, p=0.678) (<xref ref-type="supplementary-material" rid="SP2">online supplemental figure 2D–E</xref>). APCs were significantly lower in non-responding ALL patients 1 day after NMA initiation and throughout the entire time of monitoring (OR vs NR; d=3.910, p=0.001) (<xref ref-type="supplementary-material" rid="SP3">online supplemental figure 3F</xref>). In both groups, APC was not affected by 30Cy/75Flu lymphodepletion. Thus, the lower platelet counts in non-responding ALL patients seem disease dependent, rather than NMA related, which is in accordance with the existing literature.<xref ref-type="bibr" rid="R33">33</xref></p><p>Patients stayed, on average, 23±8 days in the hospital and received 1.0±1.4 units of RC and 1.3±2.4 units of PLT. Febrile neutropenia was observed in 12 of 19 (63%) patients.</p></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><p>Lymphodepleting preconditioning is an integral part of all adoptive T cell therapies. However, to date, there is no guideline or standardization and no data, which compare different NMA regimens.</p><p>In this study, we compared different NMA therapies in regard to bone marrow suppression and recovery, cytokine serum levels, clinical response and adverse events.</p><p>We could demonstrate that 120Cy/125Flu and 60Cy/125Flu preconditioning were equally efficient in achieving deep lymphopenia over a period of 1 week and deep neutropenia in patients with metastatic melanoma treated with TIL, whereas ALC and ANC were significantly higher following TBI/75Flu-induced NMA. In contrast, patients in the TBI/75Flu cohort had neutrophilia 1 day after cell infusion, followed by mild neutropenia. Acute thrombocytopenia was mainly observed in the 120Cy/125Flu cohort.</p><p>Despite the deep lymphopenia and neutropenia, patients in the 120Cy/125Flu and 60Cy/125Flu cohorts recovered within 6 days, whereas patients in the TBI/75Flu cohort recovered only after 1 month from their mild neutropenia.</p><p>The objective response rate in the 120Cy/125Flu cohort was 28%. Patients in the 60Cy/125Flu and TBI/Flu cohorts did not respond to TIL therapy. The lack of clinical efficacy in the 60Cy/125Flu and TBI/Flu groups may have multiple reasons. Of note, patients in the latter two cohorts were all refractory to anti-PD1 immunotherapy compared with only 17 of 103 patients (17%) in the 120Cy/125Flu group. Interestingly, among the 17 anti-PD1 refractory patients in the 120Cy/125Flu cohort, 16 patients did not respond to TIL therapy, which strengthens our hypothesis, that patients, refractory to anti-PD1 antibodies, are less likely to respond to TIL therapy compared with anti-PD1 naïve patients.</p><p>To investigate if bone marrow suppression and recovery can serve as prognostic marker of clinical response and survival, we analyzed the cell counts in the 120Cy/125Flu melanoma patient cohort. The analysis was performed on 29 responders and 74 non-responders. At baseline, there was no difference in absolute cell counts between responding and non-responding patients.</p><p>We could confirm that higher lymphocyte counts starting 4 days after cell infusion were significantly associated with clinical response. If the higher count reflects better engraftment and proliferation of infused T cells or a faster bone marrow recovery needs to be further investigated.</p><p>Previous studies have shown that the combination of cell counts, defined as inflammatory indexes, can serve as predictors of response.<xref ref-type="bibr" rid="R34 R35 R36 R37 R38 R39">34–39</xref> As anticipated, the PLR and NLR were lower in ORs from day 5 onwards.</p><p>ROC curve analysis 7 days after cell infusion was performed to determine the optimal cut-offs to distinguish between responding and non-responding patients and predict OS. Cut-offs were defined as NLR≤1.79 and PLR≤32.7. For example, 61% of patients with PLR≤32.7 responded to TIL therapy compared with 15% NRs (p≤0.001). The median OS was 39 months for patients with PLR≤32.7 and 12.5 months at PLR above 32.7.</p><p>Previous studies demonstrated that cytokine serum levels are associated with antitumor activity of the T cells and clinical response in patients undergoing adoptive T cell therapy.<xref ref-type="bibr" rid="R18 R19">18 19</xref> Therefore, we compared the cytokine serum levels following the different NMA regimens. We could show that IL-15 levels were insignificantly different, TBI/75Flu-induced lymphodepletion resulted in significantly lower IL-7 serum levels and 60Cy/125Flu-induced lymphodepletion resulted in significantly higher IL-21 serum levels compared with 120Cy/125Flu NMA. Since there were no differences between IL-7, IL-15 and IL-21 serum levels between overall responders and non-responders in the 120Cy/125Flu cohort, the clinical relevance of these findings is questionable.</p><p>We further analyzed the absolute cell counts of patients with relapsed or refractory ALL, who received a 30Cy/75Flu preparative regimen before CD19 CAR-T cell infusion. Only a minor decrease of ALC was observed. Although the contribution of leukemic blasts to ALC in patients with ALL cannot be absolutely excluded, it is very unlikely. Most patients were treated before had low or no circulating blasts at the time of lymphodepletion.<xref ref-type="bibr" rid="R31">31</xref> Additionally, in the apheresis product, the starting material for CAR-T cell production, the total number of non-malignant and malignant B cells was less than 5% in most patients and 0% in the CAR-T cell product.<xref ref-type="bibr" rid="R9">9</xref></p><p>Furthermore, we investigated the impact of 30Cy/75Flu-induced NMA on ANC and APC and could show that this regimen did not cause deep neutropenia and had no effect on APC.</p><p>Higher absolute platelet counts 1 day after NMA initiation (day −4) and throughout the entire time of monitoring were significantly correlated with clinical response. At baseline, there was a trend (p=0.060) of a higher platelet count in OR patients. Prolonged event-free survival following CAR-T cell therapy was previously reported in patients with ALL with higher pre-lymphodepletion platelet count (32). Thus, it should be further investigated if APC assessment could be a helpful predictive marker to make clinical decisions in this patient population.</p><p>A major aspect that must be taken into account when choosing chemotherapy for lymphodepletion is the toxicity related to it. Patients in our 120Cy/125Flu cohort developed significantly more acute adverse events, including thrombocytopenia, febrile neutropenia and cardiotoxicity. Thus, the time of hospitalization and the number of RC and PLT transfusions were significantly higher in this cohort. We reported three cases of acute cardiotoxicity following 120Cy/125Flu NMA. All three cases presented with symptoms of acute heart failure before TIL infusion and none of the patients suffered from cardiac problems before therapy. Of note, no other TIL trial reported cyclophosphamide-induced mortality, but, on the other hand, high-dose cyclophosphamide is known to cause cardiotoxicity in 7%–28% of patients.<xref ref-type="bibr" rid="R32">32</xref> It was demonstrated that cyclophosphamide metabolites are responsible for cardiotoxicity due to depletion of antioxidants/ATP level, altered contractility, damaged endothelium and enhanced proinflammatory/proapoptotic activities resulting in cardiomyopathy, myocardial infarction and heart failure.<xref ref-type="bibr" rid="R32">32</xref> Mortality has been reported in 11%–43% of patients at a dose of 170–180 mg/kg. Halving the doses of cyclophosphamide from 60 mg/kg for 2 days (120Cy) to 30 mg/kg for 2 days (60Cy) might prevent this rare but severe adverse effect.</p><p>In summary, bone marrow suppression and recovery were equally effected by the 120Cy/125Flu and 60Cy/125Flu preconditioning in the melanoma cohorts; however, toxicity and consequently time of hospitalization were significantly lower in the 60Cy/125Flu cohort. Patients in the 30Cy/75Flu ALL cohort and TBI/75Flu melanoma cohort rarely developed NMA-induced adverse events; however, both regimens were not efficient in achieving deep bone marrow suppression.</p></sec></body><back><ack><p>The authors would also like to thank the Lemelbaum family for their generous support.</p></ack><fn-group><fn fn-type="other"><p>AN, SL-A and TM contributed equally.</p></fn><fn fn-type="other"><label>Contributors</label><p>AN, SL-A, and MB designed the study. EJ, NA, GB, RS-F, JS, and GM recruited and treated the patients and are investigators. AN, SL, OI, EJ, and TM collected and analyzed the data. AN and TM performed the statistical analysis. AN, SL, and MJ wrote the paper. All authors read and approved the final manuscript.</p></fn><fn fn-type="other"><label>Funding</label><p>The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.</p></fn><fn fn-type="conflict"><label>Competing interests</label><p>No, there are no competing interests.</p></fn><fn fn-type="other"><label>Provenance and peer review</label><p>Not commissioned; externally peer reviewed.</p></fn><fn fn-type="other"><label>Supplemental material</label><p>This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.</p></fn></fn-group><sec sec-type="data-availability"><title>Data availability statement</title><p>Data are available upon reasonable request.</p></sec><sec sec-type="ethics-statement"><title>Ethics statements</title><sec sec-type="ethics-consent-to-publish"><title>Patient consent for publication</title><p>Not required.</p></sec><sec sec-type="ethics-approval"><title>Ethics approval</title><p>The study has been performed in accordance with the Declaration of Helsinki and was approved by the Israeli Ministry of Health. NCT numbers: <ext-link ext-link-type="clintrialgov" xlink:href="NCT00287131" xlink:type="simple">NCT00287131</ext-link> (TIL), <ext-link ext-link-type="clintrialgov" xlink:href="NCT03166397" xlink:type="simple">NCT03166397</ext-link> (TIL) and <ext-link ext-link-type="clintrialgov" xlink:href="NCT02772198" xlink:type="simple">NCT02772198</ext-link> (CAR-T). 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