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Integrative Bulk and Single-Cell Profiling of Premanufacture T-Cell Populations Reveals Factors Mediating Long-Term Persistence of CAR T-Cell Therapy

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Integrative Bulk and Single-Cell Profiling of Premanufacture T-Cell Populations Reveals Factors Mediating Long-Term Persistence of CAR T-Cell Therapy Published OnlineFirst April 5, 2021; DOI: 10.1158/2159-8290.CD-20-1677 RESEARCH ARTICLE Integrative Bulk and Single-Cell Profiling of Premanufacture T-cell Populations Reveals Factors Mediating Long-Term Persistence of CAR T-cell Therapy Gregory M. Chen1, Changya Chen2,3, Rajat K. Das2, Peng Gao2, Chia-Hui Chen2, Shovik Bandyopadhyay4, Yang-Yang Ding2,5, Yasin Uzun2,3, Wenbao Yu2, Qin Zhu1, Regina M. Myers2, Stephan A. Grupp2,5, David M. Barrett2,5, and Kai Tan2,3,5 Downloaded from cancerdiscovery.aacrjournals.org on October 1, 2021. © 2021 American Association for Cancer Research. Published OnlineFirst April 5, 2021; DOI: 10.1158/2159-8290.CD-20-1677 ABSTRACT The adoptive transfer of chimeric antigen receptor (CAR) T cells represents a breakthrough in clinical oncology, yet both between- and within-patient differences in autologously derived T cells are a major contributor to therapy failure. To interrogate the molecular determinants of clinical CAR T-cell persistence, we extensively characterized the premanufacture T cells of 71 patients with B-cell malignancies on trial to receive anti-CD19 CAR T-cell therapy. We performed RNA-sequencing analysis on sorted T-cell subsets from all 71 patients, followed by paired Cellular Indexing of Transcriptomes and Epitopes (CITE) sequencing and single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) on T cells from six of these patients. We found that chronic IFN signaling regulated by IRF7 was associated with poor CAR T-cell persistence across T-cell subsets, and that the TCF7 regulon not only associates with the favorable naïve T-cell state, but is maintained in effector T cells among patients with long-term CAR T-cell persistence. These findings provide key insights into the underlying molecular determinants of clinical CAR T-cell function. SIGNificaNCE: To improve clinical outcomes for CAR T-cell therapy, there is a need to understand the molecular determinants of CAR T-cell persistence. These data represent the largest clinically anno- tated molecular atlas in CAR T-cell therapy to date, and significantly advance our understanding of the mechanisms underlying therapeutic efficacy. INTRODUCTION CAR T cells from the bulk population of T cells extracted from the patient, consisting of a mixture of CD4+ and CD8+ T cells Chimeric antigen receptor (CAR) T-cell therapy has been a across naïve, memory, and effector lineages. Clinical and pre- breakthrough in cancer therapy, yet failure to achieve long-term clinical studies have led to a growing understanding of a positive CAR T-cell persistence remains a major barrier to sustained role of naïve and memory T-cell subsets in CAR T-cell efficacy, remission in many patients. Although complete response rates in suggesting that cellular stemness and memory formation are pediatric B-cell acute lymphoblastic leukemia (B-ALL) are high, critical to maintaining long-term remission (4–6). These stud- differences in apheresis T-cell products have been shown to play a ies have provided foundational insight into the composition of critical role in determining the duration of antitumor CAR T-cell favorable T-cell phenotypes, yet a more comprehensive under- function (1). Recent studies have provided strong evidence that standing has been hindered by limited sample sizes, confound- differences in apheresed T cells are a major determinant in thera- ing by T-cell subtype, and lack of deeper molecular analyses. peutic failure of CAR T-cell therapy in adult malignancies such To address these challenges, we developed a subtype- as chronic lymphocytic leukemia (CLL) and multiple myeloma specific transcriptomic atlas of premanufacture T cells from (2, 3), suggesting that a deeper understanding of intrinsic T-cell 71 patients on trial to receive anti-CD19 CAR T-cell therapy. function is essential for improving existing and future CAR T-cell A crucial component of our experimental design was to sort therapies for both pediatric and adult cancers. T-cell subsets prior to RNA sequencing (RNA-seq), allowing At the core of this challenge is the heterogeneous nature of us to directly account for the confounding effect of T-cell autologous T cells that form the starting material for CAR T-cell subset composition and identify clinically associated molec- therapy. Most CAR T-cell therapy trials to date have engineered ular pathways that act within T-cell subsets. We developed a web server for visualization of genes and regulons from 1Graduate Group in Genomics and Computational Biology, University of our transcriptomic atlas, which can be accessed at https:// Pennsylvania, Philadelphia, Pennsylvania. 2Center for Childhood Cancer tanlab4generegulation.shinyapps.io/Tcell_Atlas/. On the basis Research, The Children’s Hospital of Philadelphia, Philadelphia, Pennsyl- of our findings regarding IFN signaling andTCF7 expression vania. 3Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania. 4Graduate Group in in effector T-cell subtypes, we performed integrative Cellular Cellular and Molecular Biology, University of Pennsylvania, Philadelphia, Indexing of Transcriptomes and Epitopes sequencing (CITE- Pennsylvania. 5Department of Pediatrics, University of Pennsylvania, seq) and single-cell assay for transposase-accessible chromatin Philadelphia, Pennsylvania. sequencing (scATAC-seq) on six of the patients in the study, Note: Supplementary data for this article are available at Cancer Discovery allowing us to more deeply characterize the interplay and Online (http://cancerdiscovery.aacrjournals.org/). regulation of these clinically associated biological pathways. G.M. Chen, C. Chen, and R.K. Das contributed equally to this article. Corresponding Authors: Kai Tan, The Children’s Hospital of Philadelphia, 3501 Civic Center Boulevard, Philadelphia, PA 19104. Phone: 267-425-0050; RESULTS E-mail: [email protected]; and David M. Barrett, Tmunity Therapeutics, 3020 Naïve and Early Memory T-cell Composition Market Street, Suite 535, Philadelphia, PA 19104. Phone: 215-966-1600; E-mail: [email protected] Predicts Clinical CAR T-cell Persistence Cancer Discov 2021;11:1–14 We identified 71 children or young adults who were enrolled doi: 10.1158/2159-8290.CD-20-1677 to receive anti-CD19 CAR T-cell therapy at the Children’s Hos- ©2021 American Association for Cancer Research pital of Philadelphia (Supplementary Table S1). The mean age September 2021 CANCER DISCOVERY | OF2 Downloaded from cancerdiscovery.aacrjournals.org on October 1, 2021. © 2021 American Association for Cancer Research. Published OnlineFirst April 5, 2021; DOI: 10.1158/2159-8290.CD-20-1677 RESEARCH ARTICLE Chen et al. at enrollment was 11.7 [95% confidence interval (CI), 10.1–13.3], TEFF and TEM Highly Express Genes for T-cell and there was a balanced ratio of female and male patients Activation and Proliferation, but Persistence [47.9% (36.0–60.0) female]. Seventy patients had relapsed or May Be Limited by Increased Apoptosis refractory B-ALL, and one was a young adult with Hodgkin Because the composition of naïve, memory, and effector lymphoma. CAR T-cell manufacture was successful in 65 of the T-cell lineages was robustly associated with clinical CAR 71 patients. The primary clinical endpoint for functional CAR T-cell persistence, we next sought to investigate the biological T-cell persistence was duration of B-cell aplasia (BCA), consist- pathways defining these T-cell subtypes among our patient ent with prior studies which have established that BCA is a sen- cohort. Our bulk RNA-seq data on sorted patient T cells sitive marker of functional anti-CD19 CAR T-cell persistence in captured the functional continuum of T-cell differentiation, pediatric populations (1, 7). Long-term CAR T-cell persistence from TN, TSCM, TCM, TEM, and TEFF subtypes (Fig. 1C). At a was defined as BCA≥ 6 months, whereas short-term or failed global transcriptomic level, between-subtype differences in persistence was defined as BCA< 6 months. Duration of BCA T cells were the dominant effect; T cells of the same subtype was considered to be right-censored if the patient had ongoing clustered strongly between patients, whereas T cells derived BCA at the most recent follow-up, proceeded to bone marrow from individual patients generally separated by subtype. TN transplant, died of other causes, or had CD19− relapse with con- and TSCM shared similar transcriptomic profiles and were tinued BCA. In an intention-to-treat manner, the median dura- largely indistinguishable at the transcriptomic level, whereas tion of CAR T-cell persistence among patients in our cohort was TCM, TEM, and TEFF separated strongly. 11 months, similar to event-free survival durations reported in Differential expression analysis with Linear Models for recent clinical trials in B-ALL (8). Microarray Data (Limma; refs. 10, 11) revealed 6,953 differen- To assess the composition and molecular pathways of pre- tially expressed genes associated with T-cell type (FDR < 0.05; manufacture T cells, we curated a biobank of T cells from these Supplementary Table S2). Pathway analysis of the differen- 71 patients (Fig. 1A). These T cells were aliquoted at time of tially expressed genes revealed an enrichment in lymphocyte clinical leukapheresis and represent the populations of the activation, cytokine signaling, and leukocyte migration path- T cells used for CAR T-cell manufacture. We used FACS to sort ways (P = 1.93e-34, 1.49e-23, 2.54e-21; Fig. 1D); single-sample T cells into five T-cell subsets: naïve (TN), stem cell memory Gene Set Enrichment Analysis (ssGSEA; ref. 12) revealed that (TSCM), central memory (TCM), effector memory (TEM), and effec- these pathways were enriched among the effector T-cell line- tor (TEFF; Supplementary Fig. S1A). We performed RNA-seq ages (Supplementary Fig. S3A). on the five sorted T-cell populations for each of the patients, We found that expression of lymphocyte proliferation path- producing an atlas of 355 transcriptomic profiles representing ways increased along a gradient toward effector T cells (P = the T-cell composition across pediatric premanufacture T cells.
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