Article Text
Abstract
Rationale of the trial Although the use of engineered T cells in cancer immunotherapy has greatly advanced the treatment of hematological malignancies, reaching meaningful clinical responses in the treatment of solid tumors is still challenging. We investigated the safety and tolerability of IMA202 in a first-in-human, dose escalation basket trial in human leucocyte antigen A*02:01 positive patients with melanoma-associated antigen A1 (MAGEA1)-positive advanced solid tumors.
Trial design The 2+2 trial design was an algorithmic design based on a maximally acceptable dose-limiting toxicity (DLT) rate of 25% and the sample size was driven by the algorithmic design with a maximum of 16 patients. IMA202 consists of autologous genetically modified cytotoxic CD8+ T cells expressing a T cell receptor (TCR), which is specific for a nine amino acid peptide derived from MAGEA1. Eligible patients underwent leukapheresis, T cells were isolated, transduced with lentiviral vector carrying MAGEA1-specific TCR and following lymphodepletion (fludarabine/cyclophosphamide), infused with a median of 1.4×109 specific T cells (range, 0.086×109–2.57×109) followed by interleukin 2.
Safety of IMA202 No DLT was observed. The most common grade 3–4 adverse events were cytopenias, that is, neutropenia (81.3%), lymphopenia (75.0%), anemia (50.0%), thrombocytopenia (50.0%) and leukopenia (25.0%). 13 patients experienced cytokine release syndrome, including one grade 3 event. Immune effector cell-associated neurotoxicity syndrome was observed in two patients and was grade 1 in both.
Efficacy of IMA202 Of the 16 patients dosed, 11 (68.8%) patients had stable disease (SD) as their best overall response (Response Evaluation Criteria in Solid Tumors V.1.1). Five patients had initial tumor shrinkage in target lesions and one patient with SD experienced continued shrinkage in target lesions for 3 months in total but had to be classified as progressive disease due to progressive non-target lesions. IMA202 T cells were persistent in peripheral blood for several weeks to months and were also detectable in tumor tissue. Peak persistence was higher in patients who received higher doses.
Conclusion In conclusion, IMA202 had a manageable safety profile, and it was associated with biological and potential clinical activity of MAGEA1-targeting genetically engineered TCR-T cells in a poor prognosis, multi-indication solid tumor cohort.
Trial registration numbers NCT04639245, NCT05430555.
- Solid tumor
- Adoptive cell therapy - ACT
- T cell Receptor - TCR
Data availability statement
Data are available on reasonable request. The datasets used and/or analyzed during the current trial are available from the corresponding author on reasonable request and approval from trial sponsor according to available guidelines at the time of request.
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 http://creativecommons.org/licenses/by-nc/4.0/.
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WHAT IS ALREADY KNOWN ON THIS TOPIC
TCR-based adoptive cell therapies are innovative approaches for the treatment of solid cancers and unlock the potential to target novel cancer antigens. Although some success was evident in clinical trials targeting cancer testis antigens, no clinical data on TCR-engineered T cells directed against MAGEA1 are yet available.
WHAT THIS STUDY ADDS
IMA202-101 was the first trial to demonstrate a manageable safety profile as well as biological and potential clinical activity of genetically engineered TCR-T cells targeting the cancer testis antigen MAGEA1, which is expressed in several solid tumor indications.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
Although clinical success was limited in the IMA202-101 trial, adaptation of the patient population, T cell dose or TCR affinity may, among others, increase the clinical efficacy of IMA202-engineered T cells.
Introduction
Immunotherapies have revolutionized the field of oncology1 with immune checkpoint inhibitors being approved for the treatment of over 85 indications in the USA.2 Chimeric antigen receptor (CAR)-T cells are transforming the management of hematological malignancies with several approved products to date.3 Developing CAR-T cells for solid tumors has been more challenging due to paucity of suitable target antigens, increased risk for on-target/off-tumor toxicity, immunosuppressive intratumoral microenvironment and impaired T cell infiltration into tumor tissue.4 5 Genetically unmodified tumor infiltrating lymphocytes (TILs), expanded ex vivo from resected tumor lesions, have emerged as a potentially efficacious treatment for solid malignancies.6–8 Classical TIL therapy does not target an a priori defined tumor-specific antigen but relies on the amplification of intrinsic antitumor T cell immune activity.
In contrast, autologous T cells genetically modified to express specific T cell receptors (TCRs), often derived from healthy donors or cancer patients, allow for directing T cell activity against tumor antigens of choice. Compared with CAR-T cells, TCR-T cell therapy offers more flexibility, as it allows targeting of intracellular as well as cell surface antigens.9 Even though TCR-engineered T cells can be directed against tumor-specific mutations,10 11 most currently developed product candidates focus on tumor associated or more specifically cancer testis antigens.4 5 These proteins are expressed in tumor cells, but their expression is very limited in normal cells, except for germ cells, making them ideal targets for adoptive cell therapy. Melanoma-associated antigen A1 (MAGEA1) protein is a cancer testis antigen prevalent in melanoma, liver, lung, esophageal, head and neck and gastric cancers.12–15 To date, there are no clinical data available on TCR-engineered T cells directed against this antigen. Hence, our objective was to study the safety and efficacy of IMA202 in a first-in-human, dose escalation, multisite, basket trial in human leucocyte antigen (HLA)-A*02:01 positive patients with MAGEA1-positive advanced solid tumors. IMA202 consists of autologous genetically modified cytotoxic CD8+ T cells expressing a TCR, which is specific for a nine amino acid peptide derived from MAGEA1.16
Materials and methods
Patients
Eligible patients were ≥18 years of age and presented pathologically confirmed advanced and/or metastatic solid tumor with recurrent/progressing and/or refractory disease, HLA-A*02:01 expression, MAGEA1-positive tumor as assessed by quantitative PCR (qPCR) from a fresh biopsy, Eastern Cooperative Oncology Group (ECOG) performance status of 0–1. In addition, eligible patients presented adequate organ and marrow function, measurable disease according to Response Evaluation Criteria in Solid Tumors (RECIST) V.1.1, adequate hepatic, renal and pulmonary function, life expectancy >3 months, adequate serum creatinine level, acceptable coagulation status and received available standard-of-care treatments. Patients with a history of other malignancies within the last 3 years, prior stem-cell or organ transplantation, active viral infections, autoimmune diseases or active brain metastasis, as well as pregnant or nursing women were excluded. A full description of the eligibility criteria can be found in online supplemental section.
Supplemental material
Trial design and statistical analysis
IMA202-101 was a multicenter, 2+2 dose escalation, open-label, phase 1 basket trial evaluating the safety and tolerability of treatment with IMA202 in MAGEA1-positive recurrent and/or refractory solid tumor patients. The primary objective was the evaluation of safety and tolerability of IMA202 and primary endpoints were the incidence and nature of treatment-emergent adverse events (TEAEs), adverse events (AEs) of special interest, treatment-emergent serious AEs, dose-limiting toxicities (DLTs) as well as the maximum tolerated dose or the recommended phase 2 dose.
Secondary endpoints included the evaluation of TCR-engineered T cell persistence in vivo and antitumor activity including tumor response measured according to RECIST V.1.1, immune-related RECIST (irRECIST) and duration of response.
From August 29, 2018 to November 16, 2021, patients were recruited and the trial was conducted at different locations in the US (University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; University of Texas MD Anderson Cancer Center, Houston, Texas) and Germany (University Hospital Würzburg, Würzburg, Bavaria; University Hospital Bonn, Bonn, North Rhine-Westphalia; University Hospital C.–G.-Carus Dresden, Dresden, Saxony; University Medical Center Hamburg-Eppendorf, Hamburg).
The following TEAEs occurring from day 0 (IMA202 infusion) to day 21 were defined as DLTs: Any National Cancer Institute–Common Terminology Criteria for Adverse Events (NCI-CTCAE) grade 4 or 5 TEAEs and any NCI-CTCAE grade 3 TEAEs not having resolved to ≤grade 2 within 7 days and having been assessed as at least possibly related to IMA202 (excluding hematological laboratory values); any treatment-emergent autoimmune toxicity ≥grade 3 regardless of attribution. AEs were coded using the Medical Dictionary for Regulatory Activities and severity was graded according to NCI-CTCAE V.5.0 except for cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) for which we applied the criteria published by Neelapu et al and Lee et al.17 18
We investigated a total of three dose levels (DL) starting at 50×106 transduced CD8+ T cells (CD3+CD8+ dextramer positive T cells) per m2 body surface area (BSA)±20% (DL1) and then escalating to 300×106 cells/m2 BSA±20% (DL2) and 1000×106 cells/m2 BSA±20% (DL3). Additionally, patients were allowed to be enrolled at DLs already cleared for safety or at any intermediate DLs to better understand the safety and tolerability of IMA202 and to provide a T cell product to patients in need.
The 2+2 trial design was an algorithmic-driven dose escalation design based on a maximally acceptable DLT rate of 25%. Based on the number of patients with DLTs, the dose was escalated, enriched to four patients, or de-escalated. The sample size was driven by the algorithmic design with a maximum of 16 patients (4 cohorts with up to four patients).
Progression-free survival (PFS) and overall survival (OS) were summarized using the Kaplan-Meier method to estimate the median survival time (GraphPad Prism V.9). All patients in the analyzed safety analysis set (SAS population) received IMA202 infusion. Correlation analysis of IMA202 peak frequency vs dose and T cell infiltration vs dose were performed using Spearman test.
The trial was completed on March 17, 2023. Strengthening the Reporting of Observational Studies in Epidemiology cohort reporting guidelines were used.19
Trial procedures and treatment
After confirmation of eligibility, patients underwent leukapheresis and IMA202 product was manufactured under current Good Manufacturing Practice-compliant conditions following 7–10 days manufacturing process. Briefly, peripheral blood mononuclear cells (PBMCs) were isolated from fresh leukapheresis and cryopreserved using a controlled rate freezer in a medium containing 10% DMSO until the start of manufacturing. On day 0, PBMCs were thawed, rested for 4–6 hours, and activated overnight using anti-CD3 and anti-CD28 antibodies. On day 1, activated T cells were transduced using a third-generation lentiviral vector encoding the MAGEA1-specific TCR. This was followed by expansion in complete media supplemented with cytokines until harvest. In-process testing including cell counts and TCR expression were performed between day 6 and day 8 to ensure adequate expansion to meet cell dose and determine the day of harvest based on the available number of transduced cells. Eight out of 16 infused products were harvested on day 10, 3 each on day 8 and day 9 and 2 on day 7. Downstream processing included washing, concentration, formulation into drug products using a commercially available cryoprotectant, and cryopreservation. A comprehensive release testing was performed on each drug product for critical quality attributes, that is, safety, purity, identity, and quantity and only passing products were released for infusion. MAGEA1-specific T cells in the products were assessed by pHLA multimer staining (dextramer staining) for dose determination.
Daily lymphodepletion with fludarabine (influenza; 20 mg/m² BSA for hepatocellular carcinoma (HCC) patients and 40 mg/m² BSA for all other solid tumor types) and cyclophosphamide (CY; 250 mg/m² BSA for HCC patients and 500 mg/m² BSA for all other solid tumor types infused according to institutional standards) was applied intravenously on four consecutive days (day −6 to day −3) before IMA202 single infusion at day 0. Protocol prespecified dose adaptions were allowed in case of impaired renal or bone marrow function and advanced age. Online supplemental table 1 summarizes total doses of influenza and CY administered to each patient.
Starting approximately 6 hours after IMA202 infusion, low-dose interleukin (IL)-2 (flat dose of 1×106 IU) was administered subcutaneously every 12 hours for 14 days (online supplemental table 1). IL-2 administration was interrupted at the discretion of the investigator in case of toxicities. After IMA202 infusion patients were closely observed during the treatment and observation period until progressive disease (PD) or death. Thereafter, the follow-up started which ranged from 0 to 9.1 months (median 2.6 months; time from end of treatment and observation period until death (n=14) or withdrawal of consent (n=2)). No patient was lost to follow-up. During follow-up, patients were evaluated for changes in health status, vital signs, physical examination, tumor assessment and OS. In addition, blood samples were collected to test for replication competent lentivirus.
Treatment of CRS and T cell-associated neurotoxicity followed established guidelines17 with more aggressive treatment being possible for patients with high fever (temperature ≥39.5°C). Interruption of IL-2 application was recommended in case of CRS ≥grade 2.
Tumor response was assessed according to RECIST V.1.120 and irRECIST.21
Determination of MAGEA1 expression
Patient tumors had to express MAGEA1, as assessed by an assay based on a reverse transcriptase qPCR analysis of a fresh tumor biopsy specimen stored in RNAlater stabilization solution (ThermoFisher Scientific). For MAGEA1, a correlation between messenger ribonucleic acid (mRNA) and immunopeptidome levels (both in-house data) was established as demonstrated before.22 From this correlation, a reads per kilobase per million mapped reads threshold was generated and translated into a quantitative real-time PCR assay threshold in which MAGEA1 was considered positive if expression levels were above a target-specific delta-cycle threshold (DCt). For DCt generation, Ct average of three reference genes (RPLP0, OAZ1, RPL37A) was calculated and subtracted from observed Ct value for MAGEA1. A threshold (DCt of 7.83 for MAGEA1) was chosen to maximize the sensitivity and specificity of prediction of peptide presentation as described previously.22
Identification and characterization of the MAGEA1-specific TCR
In vitro T cell priming
For priming of CD8+ T cells from healthy donors, streptavidin-coated microspheres served as artificial antigen-presenting cells and were loaded with anti-CD28 antibody (clone 9.3, purified from mouse hybridoma supernatant, University of Tübingen, Germany) and MAGEA1-derived target peptide (KVLEYVIKV)-HLA (pHLA) monomers.23 After 3 weeks of culture with repeated stimulation and medium exchange, cells were analyzed for primed populations using specific MAGEA1-target HLA-A*02:01 tetramers (MAGEA1-Brilliant Violet 650 and PE-Cy7), viability and anti-CD8 staining. Single cells of 2D target tetramer-binding populations were sorted on a BD ARIAIII FACS device into lysis buffer (64.9 mmol/L Tris, 810.8 mmol/L LiCl, 6.5 mmol/L EDTA, pH 7.5) for single cell rapid amplification of cDNA 5’ ends (5’RACE).
5’RACE and TCR assembly
After cell lysis, mRNA was captured by paramagnetic oligo-deoxythymine-beads and cDNA was synthesized using TCR gene-specific primers. TCR transcripts were amplified via nested multiplex PCR.24 The resulting PCR products were analyzed by Sanger sequencing. The sequencing data were used to assemble full length coding DNA sequences in silico using BLAST, CDR3 determination and final chain assembly. The TCRs were resynthesized via gene synthesis at GenScript (Rijswijk, Netherlands).
TCR expression
For transient re-expression, TCR mRNA was in vitro transcribed with the help of mMESSAGE mMACHINE T7 Transcription Kit according to the manufacturer’s instructions. As a template for in vitro transcription, individual TCR chains were PCR amplified with T7 and Kozak sequences at the 5’ end and a 64-adenine 3’ tail. Primary CD8+ T cells were isolated from leukaphereses from HLA-A*02-positive donors via CD8+ magnetic-activated cell sorting (Miltenyi Biotec, Bergisch Gladbach). After 1 day resting, the CD8+ cells were prestimulated for 3–5 days with plate-bound anti-CD3 (10 µg/mL coating concentration) and soluble anti-CD28 (0.1 µg/mL) antibodies. Cells were harvested, electroporated with TCR mRNA in ECM830 electroporator (BTX, Holliston, USA) at 500 V for 3 ms and rested for 20 hours. TCR re-expression was evaluated via tetramer staining along with anti-CD3 and viability staining.
For stable TCR expression, PBMC-derived T cells were activated overnight using immobilized anti-CD3 and anti-CD28 antibodies (0.5 µg/mL each), followed by transduction with a lentiviral vector encoding the MAGEA1-specific TCR. Cells were cultured in the presence of cytokines for additional 6–9 days and harvested for monitoring transduction efficiency, transgene expression, and functional assessment.
T cell functionality
TCR mRNA electroporated T cells were used for activation assay by interferon (IFN)-γ release ELISA after co-culture with target cells loaded with peptides or target-expressing tumor cell lines as well as primary cells from healthy tissues. Released IFN-γ levels were determined after 20 hours of co-culture with the help of BD OptEIA Human IFN-γ ELISA or Biolegend Human IFN-γ-ELISA MAX Deluxe Kits. Primary cells from healthy tissues were obtained from PromoCell (Heidelberg, Germany) or induced pluripotent stem cell-derived cell types were obtained from FUJIFILM Cellular Dynamics (Madison, USA). Tumor cell lines were obtained from ATCC (Virginia, USA) or DSMZ (Braunschweig, Germany). All cells were cultured according to the manufacturer’s instructions and genotyped for HLA-A*02. Culture periods were kept short to maintain cellular characteristics. The T cell activation assays were performed in T cell medium to enable optimal activity of the effector cells. T cell medium consists of RPMI 1640 GlutaMAX supplemented with 10% heat-inactivated human serum, 1% penicillin/streptomycin, 0.2% gentamycin and 1% sodium pyruvate. The EC50 of the MAGEA1-specific TCR was determined from two donors using GraphPad Prism V.6 via nonlinear fit (sigmoidal, 4PL) of log-dose (loaded peptide concentration) versus response (IFN-γ release).
For TCR specificity testing, 10 similar peptides were selected based on their sequence similarity to the target peptide. For this purpose, an in-house database was searched for peptides that share at least five identical amino acids with the target and have been detected at least once on an HLA-A*02-positive healthy tissue by LC-MS/MS. For the selection of a representative set of similar peptides, parameters such as prediction of binding to HLA-A*02:01 (NetMHCpan≤0.5), the number of identical amino acids (with or without anchoring positions), similarity to the target peptide (based on PMBEC-score), display of a unique similarity motif and number of detections on healthy tissues were considered.
Cytotoxicity assay
Cytotoxic response of MAGEA1 TCR-positive transduced and non-transduced (NT) T cells was measured against red fluorescent protein (RFP)-labeled U2OS and UACC-257 MAGEA1-positive (HLA-A*02-positive) tumor cells using IncuCyte live imaging. The assay was performed at various effector-to-target (E:T) ratios and fold-tumor growth monitored for at least 72 hours based on RFP fluorescence signal. Results are presented as mean±SD of three replicates at each imaging time point.
TCR affinity determination
The MAGEA1-specific TCR was expressed as soluble protein and refolded according to a published protocol in Escherichia coli.25 Refolded TCRs were purified via anion exchange and size exclusion chromatography. The protein concentration was determined using Bradford assays and refolding was determined via native and denaturing polyacrylamide gel electrophoresis. Biolayer interferometry technology was used to determine the affinity of the refolded TCR toward target pHLA compared with unrelated pHLA.
Quantification of IMA202 T cells
Genomic DNA was extracted from PBMC and/or tissue biopsies using QIAamp DNA Mini Kit and AllPrep DNA/RNA Mini Kit (both Qiagen), respectively, according to manufacturer’s instruction. The quantity of IMA202 T cells was assessed in DNA-samples using qPCR specific for Psi sequence of the lentiviral construct. The limit of detection for the assay is four copies/μg genomic DNA. The number of analyzed samples varied according to sample availability.
Serum cytokine analysis
Concentration of serum cytokines was measured using ProcartaPlex 34 Plex immunoassays (Invitrogen) at baseline; the day of T cell infusion (day 0) and days 1, 3, 7, 14, and 28 postinfusion. Cytokine signals were detected using the Luminex xMap technology in a microplate format on a Luminex 200 system. Data were acquired using the xPonent software. Raw data were then imported to the ProcartaPlex Analysis App (ThermoFisher Scientific) for data analysis. Cytokine analysis was based on standard curves generated by regression model of four or five parameter logistic (4PL/5PL standard curve fitting in the ProcartaPlex Analysis App). Coefficient of variation (%) of replicates was set at ≤20% for both standards and unknown analytes. Geometric mean of the regulated cytokine levels was plotted in log-scale against time. Graphs were generated using GraphPad Prism software. The number of analyzed samples varied according to sample availability postinfusion and meeting the sensitivity criteria of the assay.
Phenotypical T cell analysis
For flow cytometry-based ex vivo immunomonitoring, isolated and cryopreserved PBMC collected at different time points before and after infusion were subjected to pHLA multimer (tetramer) and cell surface staining. PBMCs were rested overnight in RPMI 1640+HEPES+10% human serum+1 ng/mL IL-15 and 20 U/mL IL-2. Potential aggregates were removed by centrifugation. Between 5×105 and 5×106 cells were treated with fixable Viability Stain BV510 (Becton Dickinson), followed by multimer staining in PE and/or PE-Cy7 for 20 min at room temperature (each multimer at a concentration of 0.8 µg/mL) and surface staining in two separate panels using antibodies listed in online supplemental table 2. All washing steps were carried out in phosphate-buffered saline (PBS), 2% fetal calf serum (FCS), 2 mM EDTA, and 0.01% azide. Stained cells, fixed using PBS with 1% FCS and 1% formaldehyde, were acquired on an LSRII SORP flow cytometer and analyzed using FlowJo software, V.10.4 (Tree Star).
The frequency of MAGEA1-specific T cells (tetramer-positive) was assessed in the product and postinfusion samples. The frequencies of naïve, central memory (CM), effector memory (TEM) and terminally differentiated effector memory (TEMRA) cells as well as frequencies of CD27−, CD28−, CD62L−, programmed cell death protein (PD)-1−, CD45RO−, CD57−, T cell immunoglobulin and mucin domain (TIM)-3− and lymphocyte activation gene (LAG)-3-positive cells were analyzed on MAGEA1-specific T cells (tetramer-positive) and non-specific cell (tetramer-negative). Memory T cell subsets were classified using the markers CD197 (C-C chemokine receptor (CCR)7) and CD45RA, with naïve being CCR7+CD45RA+, CM being CCR7+CD45RA−, TEM being CCR7−CD45RA− and TEMRA being CCR7−CD45RA+. The number of analyzed samples per patient varied according to sample availability.
Multiplex immunofluorescence staining and image analysis
Multiplex immunofluorescence staining was performed using similar methods that have been previously described and optimized.26 Briefly, 4 µm thick formalin-fixed, paraffin-embedded sample sections were stained with H&E and an anti-CD8 antibody (clone C8/144B, catalog#MS-457-S from Thermo Fisher Scientific). The slides were scanned using the Vectra/Polaris V.3.0.3 (Akoya Biosciences) at ×10 magnification (1.0 µm/pixel) through the full emission spectrum and using positive tonsil controls from the run staining to calibrate the spectral image scanner protocol.27 A pathologist selected five regions of interest (ROIs) for scanning in high magnification using the Phenochart Software image viewer 1.0.12 (931×698 µm size at resolution ×20) in order to capture various elements of tissue heterogeneity. Each ROI was analyzed by a pathologist using InForm V.2.4.8 image analysis software (Akoya Biosciences). Densities of CD8+ cytotoxic T cells were quantified and the final data was expressed as number of cells/mm2.27 The data were consolidated using the R studio V.3.5.3 (Phenopter V.0.2.2 packet, Akoya Biosciences). The number of analyzed samples varied according to sample availability and meeting the sensitivity criteria of the assay.
HLA peptide isolation and relative quantitation of pHLA
Primary human tissue samples were extracted surgically or postmortem from HLA-A*02-positive normal tissue donors. The resulting sample set covered 42 different organs. Tissue samples were snap-frozen in liquid nitrogen after excision and stored until isolation at −80°C for subsequent pHLA analyses.
After tissue homogenization and lysis, pHLA complexes were isolated by immunoprecipitation using BB7.2 (Department of Immunology, University of Tübingen, Germany) coupled to cyanogen bromide-activated sepharose resin (GE Healthcare Europe). Peptides were eluted from antibody resin by acid treatment and purified by ultrafiltration. HLA peptidomics was performed using an in-house analysis pipeline as previously described.22 Briefly, peptidome samples were separated by reversed-phase ultraperformance LC (UPLC) (nanoAcquity Waters) using ACQUITY UPLC BEH C18 columns (75 µm×250 mm, Waters) and a gradient ranging from 1% to 34.5% acetonitrile over the course of 70 or 190 min. MS was performed on online coupled Orbitrap mass spectrometers Fusion, Velos, and Linear trap quadrupole (Thermo Fisher Scientific) in data-dependent acquisition mode. Samples were analyzed in at least three replicate runs, acquiring MS/MS data in collision-induced dissociation and higher collisional energy dissociation mode. Data processing was performed using a proprietary pipeline, which combines database search, spectral clustering, feature detection, retention time alignment, and global normalization for the generation of population-scale, peptide presentation profiles.
Results
Target and T cell receptor characteristics
Between September 2019 and September 2022, we prescreened 242 HLA-A*02:01 positive patients with advanced solid tumors for MAGEA1 expression at four clinical sites in Germany and five sites in the USA using a qPCR assay on fresh tumor biopsies. Overall, the target antigen prevalence in HLA-A*02:01 positive patients was 28%. Tumors with the highest MAGEA1 prevalence were HCC (59%) and melanoma (36%), which is in line with expression prevalence in The Cancer Genome Atlas datasets (online supplemental figure 1).
Supplemental material
Patient-individual MAGEA1-targeting T cells (IMA202) were generated on the basis of a highly specific TCR recognizing a nine amino acid peptide derived from MAGEA1.16 The TCR was selected as clinical candidate among >130 MAGEA1 TCRs derived from a TCR discovery campaign with different healthy human donors. Among the tested TCRs, the IMA202 TCR showed the highest specificity, functionality, and no signs of cross-reactivity. Re-expression of the MAGEA1 TCR via mRNA transfection rendered human CD8+ T cells strongly responsive to the MAGEA1 peptide loaded onto HLA-A*02-positive T2 cells, resulting in half-maximal IFN-γ release at a low MAGEA1 peptide concentration of 11 nM (figure 1A). Comparable results were obtained when the TCR was stably expressed in donor cells via lentiviral transduction (data are not shown). The TCR was CD8 coreceptor dependent and thus did not show binding to pHLA complex and downstream functionality in CD8− T cells (online supplemental figure 2). Specificity of MAGEA1 recognition was confirmed by testing the TCR against 10 peptides sharing high sequence similarity with the target peptide, that is, the similar peptides had five or six amino acids identical to the MAGEA1 target peptide. The similar peptides were chosen to cover the entire target peptide sequence, and the presence of those similar peptides on human normal tissue samples was verified by mass spectrometry (online supplemental figure 3), making them relevant for detection of cross-reactivity. As shown in figure 1B, the TCR only recognized the MAGEA1 target peptide, even though T2 cells were loaded with high similar peptide concentrations of 10 µM. During the course of TCR characterization, the IMA202 TCR was expressed in multiple HLA-A*02:01-positive healthy donor T cells and tested against MAGEA1 negative HLA-A*02:01 positive tumor cell lines without any signs of cross-reactivity or alloreactivity toward the second HLA allele of the respective donors (online supplemental table 3). Furthermore, lentiviral expression of the TCR in CD8+ T cells resulted in strong recognition of the MAGEA1-positive and HLA-A*02:01-positive tumor cell lines UACC-257 and U266B1 (online supplemental table 4) while no T cell activation was detected in coculture with HLA-A*02:01-positive human primary normal tissue cells, supporting the highly tumor-specific nature of the TCR (figure 1C). When analyzed in an Incucyte killing assay, lentiviral transduced CD8+ T cells completely eliminated HLA-A*02:01-positive U2OS and UACC-257 tumor cells expressing MAGEA1 at different levels while NT T cells failed to control tumor cell growth (figure 1D,E). To further investigate the therapeutic suitability of the MAGEA1 TCR, we generated a soluble TCR version for binding affinity analysis. The TCR exhibited a high binding affinity toward immobilized MAGEA1:HLA-A*02:01 complexes with a KD value of 8.7 µM (figure 1F).
Supplemental material
Supplemental material
Patient characteristics
We limited eligibility to tumors with a MAGEA1 mRNA expression level above a defined threshold (online supplemental figure 4) ensuring a reasonable likelihood for HLA-presentation of the target peptide.22 A total of 46 (28%) patients tested for MAGEA1 expression fulfilled this criterion, of whom 25 underwent leukapheresis. Of these, 16 (64%) were infused with IMA202 in the dose escalation part of this trial. Due to death or withdrawn consent, none of the treated patients finished the protocol-specified follow-up of 2 years. Detailed information is depicted in figure 2.
Supplemental material
The characteristics of the 16 patients treated with IMA202 are outlined in table 1.
Seven patients had melanoma, two squamous cell carcinoma (SCC) of the anus, two HCC, two non-small cell lung cancer (NSCLC) adenocarcinoma and the remaining three patients had osteosarcoma, rhabdomyosarcoma, and oropharyngeal SCC, respectively. The median age of patients was 57 years (range 20–72 years) and 12 out of 16 (75%) patients had an ECOG performance status of 1. Patients had received a median of 5 prior lines of systemic therapies (range 1–7), including chemotherapy (n=11), radiotherapy (n=10), immunotherapy (n=14) and targeted therapy (n=10). All patients had tumors relapsed or refractory to all standard treatments. The median serum lactate dehydrogenase (LDH) level was 1.15× upper limit of normal (ULN) (range 0.6–2.6×ULN), with 6 (37.5%) patients having an LDH level≤1×ULN and 10 (62.5%) patients >1×ULN. The median serum albumin levels were 3.6 g/dL (range 2.7–4.8 g/dL) and the median sum of longest diameters of target lesions was 90.55 mm (range 26.4–272.0 mm) in pretreatment radiology evaluations. One patient had pre-existing, stable brain metastases.
Overall, we included heavily pretreated patients with various solid tumors and poor prognostic characteristics.
Product characteristics
Manufacturing of IMA202 was successful in 24/25 (96%) of patients that underwent leukapheresis and took a median of 8 days (range 7–10 days), which corresponds to a median of 4.6 population doublings. The median time from manufacturing to product release was 29.5 days. Patients received a median of 1.415×109 viable MAGEA1-specific T cells (range 0.086×109–2.57×109) (figure 2).
The median CD8/CD4 ratio of the final product for infused patients was 0.71 (range 0.27–1.73) (online supplemental figure 5A and table 5). The frozen product contained a median of 42% (range 12%–73%) MAGEA1-specific CD3+CD8+ T cells (online supplemental figure 5B and table 5) as the active ingredient. T cell memory characterization demonstrated that the MAGEA1-specific CD8+fraction was predominantly of TEM phenotype (frequency among MAGEA1-specific CD8+T cells: median, 82%; range 19%–95%) but also contained naïve (frequency among MAGEA1-specific CD8+T cells: median, 8.4%; range 0%–54%), CM (frequency among MAGEA1-specific CD8+T cells: median, 7.5%; range 3%–22%) and TEMRA cells (frequency among MAGEA1-specific CD8+T cells: median, 1.9%; range 0%–19%) (online supplemental figures 6A and 7A). Consistent with the memory phenotype distribution, MAGEA1-specific CD8+T cells widely expressed CD45RO (frequency among MAGEA1-specific CD8+T cells: median, 89%; range 28%–99%) while CD57 expression was observed in a minor subset (frequency among MAGEA1-specific CD8+T cells: median, 12%; range 1%–33%). Frozen T cells expressed molecules required for homing and costimulation such as CD62L (frequency among MAGEA1-specific CD8+ T cells: median, 57%; range 15%–92%), CD28 (frequency among MAGEA1-specific CD8+T cells: median, 66%; range 54%–92%), and CD27 (frequency among MAGEA1-specific CD8+T cells: median, 37%; range 11%–92%) (online supplemental figures 6B and 7B). MAGEA1-specific CD8+T cells also predominantly expressed TIM-3 on activation during manufacturing (frequency among MAGEA1-specific CD8+T cells: median, 84%; range, 50%–93%), however, median PD-1 and LAG-3 expression ratio remained less than 15% in the final product (online supplemental figure 7B).
Supplemental material
Supplemental material
Supplemental material
Safety
Patients received doses between 0.086×109 and 2.57×109 transduced CD8+ T cells. No DLT was observed in patients who received IMA202 up to DL3 (ie, 1.60×109 to 2.57×109 transduced cells). TEAEs were as expected for adoptive T cell therapy (table 2).
All 16 treated patients experienced at least one AE. 15 (93.8%) patients had AEs of ≥grade 3, and 1 patient had a grade 5 AE (dyspnea, unrelated to treatment). The most common grade 3–4 AEs reported were cytopenias (neutropenia (13/16), lymphopenia (12/16), anemia (8/16), thrombocytopenia (8/16) and leukopenia (4/16) related to lymphodepletion). Other common TEAEs (≥20% of subjects) were nausea (43.8%), diarrhea (31.3%), fatigue (31.3%), fever (31.3%), rash (31.3%), and chills (25%). Among those common TEAEs, only one patient experienced grade 3 fatigue and one grade 3 rash, respectively. 13 patients experienced CRS, including 1 patient who experienced grade 3 CRS (fever, hypotension, hypoxia and increased alanine aminotransferase/aspartate transaminase). Onset and duration of CRS by grade are shown in figure 3. The median time from IMA202 infusion to onset of CRS was 1 day (range 0–6 days) and the median duration of CRS was 11 days (range 2–21 days). ICANS was observed in two patients (both grade 1). CRS was managed with tocilizumab in eight patients and one patient required systemic corticosteroids. IL-2 administration was interrupted or permanently discontinued in nine patients. No signs of potential “on-target, off-tumor” toxicity were noted.
In summary, IMA202 showed a manageable tolerability profile.
Clinical activity
The date of data cut-off for the primary analysis was January 26, 2024, which represents the date of the lock of the clinical trial database. All patients who received IMA202 treatment were evaluable for response assessment by RECIST V.1.120 and 15 patients were evaluable by irRECIST.21
Of the 16 IMA202-treated patients, 11 (68.8%) patients had stable disease (SD), and 5 (31.3%) had PD as their best overall response according to RECIST V.1.1 (figure 4A). Five patients had initial tumor shrinkage in the sum of their target lesions (figure 4A,B). One patient (#03) with SD at the day 42 assessment experienced further shrinkage in the sum of target lesions diameter by 35.4% in total at 3 months. At that point, the patient had, however, progressive non-target lesion in the lung and therefore was classified as PD (figure 4C). The median duration of disease stabilization in the 11 patients with SD was 11 weeks (range 6.1–25.7 weeks). Overall, the median PFS was 9.1 weeks (range 3.1–25.7 weeks) and the median OS was 25.3 weeks (range 7.0–47.0 weeks). Of the 15 (93.8%) patients who were evaluable for response assessment according to irRECIST, 12 (80.0%) had SD and 3 (20.0%) patients had PD as best overall response.
In conclusion, IMA202 demonstrated signs of tumor shrinkage in this heavily pretreated, high risk cohort of patients.
Engraftment and persistence of IMA202 in peripheral blood
Rapid IMA202 T cell engraftment occurred in all 16 patients (median peak, day 3; range days 1–7). IMA202 levels in peripheral blood tended to slowly decline over time, but no patient showed loss of IMA202 T cells during the period of assessment. The median IMA202 persistence was 66 days and the longest was 300 days postinfusion (figure 5A). A median peak frequency of 20.56% MAGEA1-specific CD8+T cells within all CD8+T cells and 6.63% within all CD3+ T cells was observed postinfusion (online supplemental figure 8). There was a significant correlation between peak expansion of IMA202 cells in peripheral blood and the number of TCR-engineered T cells infused (r=0.5882, p=0.018, figure 5B; time point of peak expansion for each patient is listed in online supplemental table 6). No correlation was found though between peak IMA202 vector copies or infused dose with clinical responses (online supplemental figure 9).
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Supplemental material
Longitudinal phenotyping of peripheral blood T cells indicated that MAGEA1-specific CD8+T cells remained mostly of TEM phenotype (frequency among MAGEA1-specific CD8+T cells at week 1: median, 92%; range 63%–97%) with an increase in TEMRA cells at later time points (frequency among MAGEA1-specific CD8+T cells at week 8: median, 17%; range 3%–35%) (online supplemental figure 7A). Similar to TEM phenotype, MAGEA1-specific CD8+T cells expressed CD45RO widely which peaked at week 1 while CD57 showed a similar kinetics with TEMRA cells with an increase trend over time (online supplemental figure 7B). Postinfusion, the frequency of CD62L-expressing, CD27-expressing and CD28-expressing MAGEA1-specific CD8+T cells decreased over time in most patients (online supplemental figure 7B). In the majority of patients, we also observed an upregulation of PD-1 expression on MAGEA1-specific CD8+T cells within 5–10 days post-IMA202 infusion which then returned to baseline levels in subsequent analyses time points (online supplemental figure 7B). IMA202 T cell product was rich in terms of TIM-3 expression which was mainly lost by week 2. Long-term expression or a persistent increase in expression of PD-1, TIM-3 and LAG3 on MAGEA1-specific CD8+T cells was not observed arguing against significant T cell exhaustion by week 8 (online supplemental figure 7B). Longitudinal analysis of memory subsets and expression of activation markers on CD8+ non-specific (tetramer-negative) T cells is shown in online supplemental figure 7C,D, respectively. Hence, tetramer-negative cells show some signs of differentiation towards a TEMRA phenotype (online supplemental figure 7C) which might be driven by non-specific activation during product manufacturing or in vivo through serum cytokines during early activation of IMA202 T cells. In comparison, MAGEA1-specific CD8+T cells (tetramer-positive cells) show a significantly greater induction of TEM, a trend toward a greater loss of CD62L postinfusion, as well as a trend towards greater transient PD-1 induction postinfusion indicating antigen encounter and activation of IMA202 cells postinfusion (online supplemental figure 7E).
T cell Infiltration in post-treatment biopsies
Nine of 16 patients underwent a preplanned follow-up biopsy 6 weeks after IMA202 infusion. The increased number of T cells in post-treatment tumor tissue samples observed in all nine patients along with the detection of TCR vector-specific sequences in post-treatment tumor specimen suggests target tissue infiltration by TCR-engineered T cells (figure 5C,E,F, and online supplemental figure 10). However, the lack of a specific marker for IMA202 TCR-T cells does not allow for direct detection of the TCR-engineered T cells. There was no correlation between IMA202 T cell infiltration and number of infused cells (figure 5D). However, these data need to be interpreted with caution given the low number of patients with post-treatment biopsies. In two patients for whom immunofluorescence staining for CD8 could be assessed, there was a trend toward increased CD8+ T cell numbers in postinfusion compared with preinfusion tumor samples (figure 5E).
Supplemental material
Cytokine patterns in peripheral blood
IMA202 treatment altered cytokine milieu in the periphery primarily by inducing inflammatory cytokines. IFN-γ was upregulated on the first day of infusion, indicating early in vivo activation of IMA202 T cells (online supplemental figure 11A). Among the 12 cytokines measured, serum IL-6 shifted most prominently and peaked at day 3 postinfusion (online supplemental figure 11B). Thus, elevated IL-6 and IFN-γ presumably contributed to early onset of CRS. Additionally, gradual tumor necrosis factor (TNF)-α increase was observed and peaked on day 7 postinfusion (online supplemental figure 11C). IL-10 levels were also elevated, presumably indicating immune-modulatory response to induction of proinflammatory cytokines (online supplemental figure 11D).
Supplemental material
IL-8, IL-18 and growth-regulated protein (GRO)-α were also increased (online supplemental figure 11E–G), indicating broad and early T cell activation following IMA202 cell infusion.
Discussion
IMA202-101 is the first-in-human, single-arm, open-label, phase 1, dose-escalation clinical trial of TCR-engineered T cells targeting MAGEA1. Although there has been a considerable interest in MAGEA1 as a tumor-associated antigen in preclinical studies of HCC28–30 and lung adenocarcinoma,15 31 32 no prior clinical studies were conducted. This might also relate to the challenge to identify sufficient numbers of patients expressing both the appropriate HLA-allele and the target antigen. Large prescreening programs simultaneously assessing the expression of several tumor-associated antigens and inferring the HLA-type from for example, RNA sequencing data might be key to broaden the applicability of TCR-based therapies. We demonstrated that IMA202, a novel TCR-T approach targeting a MAGEA1-derived peptide, was reliably manufactured. In 16 patients with advanced or recurrent solid cancers refractory to standard therapy, IMA202 was well tolerated and no DLT was noted up to the highest DL used. The majority of patients (68.8 %) had SD as their best overall response and 31.2% of patients showed PD at first post-treatment assessment. The median duration of disease stabilization was 11 weeks and it extended beyond 5 months in two patients. Although no objective response according to RECIST V.1.1 was noted, we observed tumor shrinkage of individual lesions in nine patients suggesting preliminary clinical activity of IMA202. Our results are similar to those obtained with TCR-engineered T cells targeting MAGEA10 in NSCLC and other solid tumors also showing some disease stabilization, but no objective response according to RECIST V.1.1.33 34 In contrast, studies applying TCR-engineered T cell products targeting New York esophageal squamous cell carcinoma-1 (NY-ESO-1)35 36 or MAGEA437 have resulted in response rates ranging between 40% and 60% with durable responses in some patients.
There are many factors that might explain differences in the efficacy of autologous TCR-T therapies such as choice of tumor indications, patient population, TCR characteristics, antigen expression, T cell dose, T cell phenotype and fitness, engraftment and persistence of TCR-T products, and T cell ability to overcome the suppressive tumor microenvironment.
Regarding tumor indications, it is noteworthy that certain subtypes of sarcoma and malignant melanoma seem to be especially sensitive to this treatment, which might explain some of the success of clinical trials using TCR-engineered T cells targeting NY-ESO-1 and MAGEA4. For example, the overall response rate in the phase 1 dose escalation on MAGEA4-specific T cells was 44% in synovial sarcoma whereas it was only 9% in non-sarcoma tumors with 0% in other tumors such as ovarian, gastric or bladder cancer, despite expressing the target.38 In addition, antitumor activity of the lymphodepleting chemotherapy has been discussed as a potential confounding factor in sarcoma9 but is probably not applicable to other tumor entities such as melanoma or NSCLC, which do not seem to be sensitive to cyclophosphamide.
Adverse baseline patient characteristics, for example, high baseline tumor burden and increased number of prior therapies were associated with poor response to TCR-T therapy.37 IMA202-101 clearly represents a cohort enriched in patients with poor risk factors. The median number of prior lines of treatment was five compared with two in the previously published MAGEA4 trial.37 A median LDH level of 1.15×ULN and a median sum of longest diameters of 90.55 mm are further reflecting the high tumor burden and adverse risk profile of our patients.
Affinity of the TCR for the target pHLA complex is another key determinant of antitumor immune activity. It is worth noting that the TCR used in our trial is a natural, highly specific TCR from an HLA-A*02:01 positive donor, and although binding affinities in nM range have been reported for non-engineered KRAS G12D TCRs,39 this TCR still has a relatively high binding affinity of 8.7 µM for non-engineered cancer-specific TCRs.40 41 The TCR has, in contrast to ADP2M437 and NY-ESO-1 (c259),42 not been affinity-matured since higher affinity may increase efficacy but also can increase the risk for toxicity requiring in-depth preclinical safety evaluation.43 This is illustrated by a recent trial on melanoma-associated antigen recognized by T cells 1 (MART-1)-specific T cells which, although applied at similar dosages as IMA202, induced grade 3–5 on-target, off-tumor toxicity and CRS in 58% of treated patients including one fatal event.44 In contrast, IMA202 has shown a manageable tolerability profile and no on-target, off-tumor toxicities. Clinical trials with affinity matured TCR-engineered T cell against MAGEA1 (NCT04639245, NCT05430555) are ongoing.
Stable, abundant and homogeneous target antigen expression is also critical for efficacy in TCR-engineered T cells. The estimated number of MAGEA1 peptide copies per cell in the indications tested was generally in the hundreds, which should be sufficient for the formation of immunological synapses leading to T cell cytotoxic activity.45 46 Compared with CARs, TCRs are perceived to be able to respond to lower target density.47–49 This is exemplified by NY-ESO-1, which is presented at an average of only 10–50 copies per cell but still has been efficiently targeted by TCR-engineered T cells in many solid tumors including melanoma.50–53 In addition, tebentafusp, an immune mobilizing bispecific TCR fusion antibody against glycoprotein 100 (gp100), has shown signs of clinical efficacy in melanoma despite expression levels being limited to 30–40 copies per cell in this indication.54 55 In terms of homogeneity, MAGEA1 expression levels, as for other targets like NY-ESO-1 or MAGEA4, are expected to vary between individual tumor cells,36 which could favor the outgrowth of low antigen expression subclones thus inhibiting tumor shrinkage. HLA-loss is another potential reason for secondary resistance to T cell activating therapies, however the small number of post-tumor biopsies in our patients precluded this analysis.
T cell dose has been reported to be important in solid tumor studies33 34 and could potentially impact tumor infiltration or persistence in blood. IMA202 showed prolonged persistence in peripheral blood (median, 66 days; maximum 300 days) and target tissue infiltration even at lower DLs. We observed a correlation of infused cell number with peak persistence but not with the degree of tissue infiltration. For CAR-T cells in hematological malignancies, responses have been observed at 106–108 transduced cells and an increase in peak persistence in blood beyond a threshold DL (≈107) has not been observed.56–58 For solid tumors, a transduced cell dose ≥109 cells has been identified as a threshold for achieving objective responses in patients receiving cells transduced with NY-ESO-1-36 59 or MAGEA4-specific affinity matured TCRs.34 60 This threshold might be higher for non-affinity matured T cells, which suggests that increasing the cell dose might increase clinical activity of IMA202. Higher T cell doses may also improve the effector to target cell ratio and thus reduce the need for in vivo expansion and ultimately reduce the risk of T cell exhaustion.61 62
AEs of CRS and neurotoxicity are closely related to peak cell expansion of the cellular product and a marked increase in the serum levels of cytokines including IFN-γ, IL-6, and TNF-α.18 63–65 Even though CRS may turn into life-threatening toxicity for patients, it also correlates with clinical responses since inflammatory cytokines contributing to CRS are linked with in vivo activation of adoptive T cells.64 We observed upregulation of proinflammatory cytokines in patients’ serum following IMA202 cell infusion indicating cell activation. However, in most cases, cytokines did not reach critical levels as grade 3 CRS was observed in one patient only and the event resolved to lower grade after 1 day. Together with in vivo proliferation leading to continued persistence, induction of proinflammatory cytokines in patient serum indicates functionality of the product and early activation of T cells in vivo.
The frozen IMA202 product was primarily composed of effector memory T cells, which expressed markers associated with T cell homing, costimulation and survival such as CD62L,66–68 CD28,69 70 and CD27.6 71 Longitudinal profiling after infusion demonstrated that the effector memory phenotype was maintained with a 10%–20% increase in terminally differentiated cells. The frequency of CD62L-expressing, CD27-expressing and CD28-expressing cells decreased in most patients postinfusion. PD-1 expression showed a transient upregulation 5–10 days postinfusion in most patients, which could be indicative of antigen exposure and T cell activation. Other T cell exhaustion markers such as LAG-3, TIM-3, and T cell immunoreceptor with immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) did not show a progressive increase in expression over the timeframe profiled compared with baseline. Overall, these findings suggest that manufactured T cells were fit, engrafted well in vivo and demonstrated no clear evidence of exhaustion. Shortening the length of the manufacturing process may enrich the product for an even more immature memory phenotype associated with higher in vivo proliferation and persistence potentially improving clinical outcomes, as reported by other investigators.72 73
A plethora of T cell-engineering approaches that go beyond transduction with tumor antigen-specific CARs or TCRs74 75 are currently being tested in clinical trials of solid tumors. Multicomponent engineering is an approach where more than one component is engineered in T cells with the objective of improving safety or efficacy.76 Such engineering could enhance T cell activation, expansion, differentiation, killing, memory formation or prevent loss of function from exhaustion. Some examples include coexpression of CD8α or CD8αβ in CD4+ T cells, a dominant-negative tumor growth factor (TGF)-β receptor, cytokines (IL7, IL15) that support T cell expansion and persistence, and depletion of inhibitory receptors such as PD-1 or cytotoxic T lymphocyte-associated protein 4 (CTLA-4). While not all second-generation product candidates will be successful, it is highly likely that some of these new approaches enhance activity of cell therapy in solid cancer and will lead to a marked increase in response rate and response durability over the next few years.
In conclusion, we have demonstrated for the first time the safety as well as biological and potential clinical activity of MAGEA1-targeting genetically engineered TCR-T cells in a poor prognosis, multi-indication solid tumor cohort. Shortening manufacturing time, selection of patients with less tumor burden and fewer prior therapies, increasing T cell dose and TCR affinity maturation, as well as enhancement of cell potency through additional next-generation engineering steps may contribute to improvement of these early results.
Data availability statement
Data are available on reasonable request. The datasets used and/or analyzed during the current trial are available from the corresponding author on reasonable request and approval from trial sponsor according to available guidelines at the time of request.
Ethics statements
Patient consent for publication
Ethics approval
This study involves human participants and was approved by Ethics Commitee of Technical University of Dresden (reference number) EK 406092019, Western Institutional Review Board (reference number) IRB00000533, University of Pittsburgh Institutional Review Board (reference number) IRB00001476, Columbia Research Human Research Protection Office Institutional Review Board (reference number) IRB00006882. Participants gave informed consent to participate in the study before taking part.
Acknowledgments
We thank Elizabeth Shpall for being in charge of the CAR-TOX committee and Becky Norris for being the trial coordinator at The University of Texas MD Anderson Cancer Center, Zoe Coughlin for leading the manufacturing of IMA202 products, Regina Mendrzyk for heading the cellular biomarker work, Kerstin Günther for coordinating the IMA202 project, Manuel Ruh for overseeing biostatistics, Marilena Letizia for analyzing Immunomonitoring data, and Anja Hoffmann for selection and coordination of cell line characterization work and nomination of similar peptides. This trial was supported by the NIH CCSG Award (CA016672 (Institutional Tissue Bank (ITB) and Research Histology Core Laboratory (RHCL)), Strategic Alliances and the Translational Molecular Pathology-Immunoprofiling lab (TMP-IL) at the Department Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center.
References
Supplementary materials
Supplementary Data
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Footnotes
X @jasonlukemd, @VanMorrisMD
AMT and CMB contributed equally.
Contributors Conception and design of the trial: NH, DK, SB, CW, OS, ASM, AM-M, SW, CMB and BSA. Data acquisition, analysis and interpretation: MW, AMT, TAWH, JJL, VKM, WHA, KW, IIW, ERP, MBH, SG-G, KA, AS, AM, SS, MK, JH, LB, MB, MAK, KP and AA. Manuscript drafting and revision: MW, AMT, TAWH, JJL, VKM, WHA, KW, IIW, ERP, NH, DK, SB, CW, OS, ASM, AM-M, SW, CMB, BSA, MBH, SG-G, KA, AS, SS, MK, JH, LB, MB, MAK, KP and AA. CMB is acting as guarantor.
Funding We thank the Cancer Prevention Research Institute of Texas for cofunding this work (DP150029).
Competing interests MBH, AM, AS, MK, KP, ASM, DK, and SW were employees of Immatics US in the course of this work and may have securities from Immatics. SG-G, KA, SS, JH, MAK, AA, LB, MB, SB, CW, OS, AM-M, NH, and CMB were employees of Immatics Biotechnologies in the course of this work and may have securities from Immatics. AMT: Clinical trial research funding (received through the institution): OBI Pharma USA, Immatics, Parker Institute for Cancer Immunotherapy, Agenus, Tempus, Tvardi, Boston Biomedical, Karus Therapeutics; Consulting or advisory role: Vincerx, Diaccurate, BrYet, Nex-I, Macrogenics, BioEclipse. BSA: Two patents sold to GreenJay Therapeutics, privately held. IIW’s ASCO COI form is up to date. JJL: Data and safety monitoring board: Abbvie, Agenus, Amgen, Immutep, Evaxion; Scientific advisory board: (no stock) 7 Hills, Affivant, BioCytics, Bright Peak, Exo, Fstar, Inzen, RefleXion, Xilio (stock) Actym, Alphamab Oncology, Arch Oncology, Duke Street Bio, Kanaph, Mavu, NeoTx, Onc. AI, OncoNano, physIQ, Pyxis, Saros, STipe, Tempest; Consultancy with compensation: Abbvie, Agenus, Alnylam, Atomwise, Bayer, Bristol-Myers Squibb, Castle, Checkmate, Codiak, Crown, Cugene, Curadev, Day One, Eisai, EMD Serono, Endeavor, Flame, G1 Therapeutics, Genentech, Gilead, Glenmark, HotSpot, Kadmon, KSQ, Janssen, Ikena, Inzen, Immatics, Immunocore, Incyte, Instil, IO Biotech, Macrogenics, Merck, Mersana, Nektar, Novartis, Partner, Pfizer, Pioneering Medicines, PsiOxus, Regeneron, Replimmune, Ribon, Roivant, Servier, STINGthera, Synlogic, Synthekine; Research support: (all to institutions for clinical trials unless noted) AbbVie, Astellas, Astrazeneca, Bristol-Myers Squibb, Corvus, Day One, EMD Serono, Fstar, Genmab, Ikena, Immatics, Incyte, Kadmon, KAHR, Macrogenics, Merck, Moderna, Nektar, Next Cure, Numab, Palleon, Pfizer, Replimmune, Rubius, Servier, Scholar Rock, Synlogic, Takeda, Trishula, Tizona, Xencor; Patents: (both provisional) Serial #15/612,657 (Cancer Immunotherapy), PCT/US18/36052 (Microbiome Biomarkers for Anti-PD-1/PD-L1 Responsiveness: Diagnostic, Prognostic and Therapeutic Uses Thereof). MW: Honoraria: Amgen, Bayer, Boehringer Ingelheim, GWT, Janssen, Lilly, Merck Serono, Novartis, SYNLAB; Consulting or advisory role: Amgen, Boehringer Ingelheim, Bristol-Myers Squibb, ImCheck therapeutics, Immatics, ISA Pharmaceuticals, Lilly, Novartis; Research funding: Roche; Travel, accommodations, expenses: Amgen, AstraZeneca, Bristol-Myers Squibb, GEMoaB, Immatics, Merck Serono, Pfizer, Sanofi/Aventis; TAWH: Honoraria: Amgen, Bristol-Myers-Squibb, GlaxoSmithKline, Jazz; Consulting or advisory role: Amgen, Jazz, Kite/Gilead, Novartis, Sanofi, Bristol-Myers-Squibb, Pfizer, GlaxoSmithKline; Travel, accommodation, expenses: Janssen, Jazz, Abbvie, Bristol-Myers-Squibb, Amgen, Kite/Gilead, Astellas, Neovii, GlaxoSmithKline, Sanofi. VKM: Consulting or advisory role: Axiom Healthcare Strategies, Bicara Therapeutics, BioMedical Insights, Boehringer Ingelheim, Incyte; Research funding: Bicara Therapeutics, BioNTech, Bristol-Myers Squibb, EMD Serono, Immatics, Pfizer. WHA: Consulting or advisory role: Janssen; Research funding (received through institution): Affimed, BioNTech; Travel, accommodation, expenses: Immatics, Janssen, BioNTech; Honoraria: GSK, Janssen, AstraZeneca, Astellas. All other authors have no competing interests.
Provenance and peer review Not commissioned; externally peer reviewed.
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