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260 A 7-Gene Signature in Unmanipulated Leukaphereses Correlates with in-Vivo CAR T-Cell Expansion and Survival of Lymphoma Patients Receiving Tisagenlecleucel or Axicabtagene Ciloleucel Therapy

Program: Oral and Poster Abstracts
Type: Oral
Session: 705. Cellular Immunotherapies: Novel Predictors of Response or Toxicity to Cellular Therapies
Hematology Disease Topics & Pathways:
Research, Biological therapies, Translational Research, Lymphomas, B Cell lymphoma, Chimeric Antigen Receptor (CAR)-T Cell Therapies, Diseases, cell expansion, Therapies, Lymphoid Malignancies, Technology and Procedures, profiling
Saturday, December 10, 2022: 2:15 PM

Cristiana Carniti1*, Nicole Caldarelli1,2*, Francesca Nanetti1*, Martina Magni1*, Emma Esposito3*, Tommaso Torelli4*, Luca Agnelli4*, Silvia Brich5*, Chiara Monfrini1*, Eugenio Fardella6*, Paolo Longoni7*, Daniele Lorenzini5*, Martina Pennisi1*, Annalisa Chiappella1* and Paolo Corradini1,8

1Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
2Università degli Studi di Milano, Milano, Italy
3School of Medicine, Università degli Studi di Milano-Bicocca, Milano, Italy
4Department of Pathology and Department of Molecular Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
5Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
6School of Medicine, Università Degli Studi Di Milano, Milano, Italy
7Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Mi, Italy
8School of Medicine, Università degli Studi di Milano, Milano, Italy

Introduction: Fitness and subsets of T lymphocytes collected at the time of apheresis were shown to influence chimeric antigen receptor (CAR) T cell in vivo expansion and thus anti-tumor activity in preclinical and clinical studies. However, whether pre-manufacturing T-cell characteristics significantly affect the outcome of B-cell lymphoma patients (pts) treated with commercial anti-CD19 CAR T-cell therapies, has yet to be completely defined.

Aim: Aim was to evaluate whether leukapheresis phenotypic T-cell features have an impact on post-infusion tisagenlecleucel (Tisa-cel) and axicabtagene ciloleucel (Axi-cel) in vivo expansion and clinical efficacy.

Methods: The T-cell phenotype of apheresis products prospectively collected from 55 pts receiving either Tisa-cel or Axi-cel was characterized at the protein and mRNA level. For flow cytometry (FCM), T-cells were analysed with CD45, CD3, CD4, CD8, CD45RO, CD62L, CD197 and CD95 antibodies and circulating CAR T cells with the CD19-CAR detection reagent (Miltenyi) on a BD FACSCanto II (BD Biosciences) and FlowJo software. RNA of sorted CD3+ cells was digitally quantified using the nCounter 780-gene CAR-T Characterization Panel (NanoString). Disease response was assessed according to Lugano criteria. Cox proportional-hazards model was used to test the association between covariates and progression free survival (PFS), and the globaltest package for R to test the association between PFS and gene expression levels, regarded as continuous variables (under 100.000-permutation condition). The predictive power of the model was tested using Linear Discriminant Analysis for classification of multivariate observations, with leave-one-out procedure.

Results: The presence of various T-cell differentiation subsets in apheresis products was assessed (n=55) by FCM. No differences in the frequencies of T naïve [TN (CD45RO−/CD197+/CD62L+)], T stem cell memory [TSCM(CD45RO-/CD197+/CD62L+/CD95+)], T central memory [TCM(CD45RO+/CD197+)], T effector memory [TEM(CD45RO+/CD197-)] and T effector [TE(CD45RO-/CD197-)] subsets among CD4+ and CD8+ T-cells were observed when pts were stratified according to sex (62% were males), age (median age 57, range 26-69), number of prior treatments (median n° of therapies 2, range 2-6), histologies (DLBCL n=40, tFL n=6, PMBCL n=9) and the CAR T-cell product (Tisa-cel n=22, Axi-cel n=33). However, when the median concentration of CAR T cells at day 10 (C10=26 cells/ul) after infusion was used to dichotomize pts into “expanders” (EX, n=28) and “poor-expanders” (PEX, n=27), EX had significantly higher levels of CD3+ and CD8+TSCM cells than PEX (median CD3+: 29,6% vs 20,0%, p= 0.04, median CD8+TSCM: 0.57% vs 0.28%, p=0.02). This is relevant as CAR T-cell kinetics predicted response and survival: EX had in fact more chances to be responders at day 90 (OR: 4.486, 95%CI: 1.447-14.02, p=0.01) and were characterized by longer PFS when compared to PEX (median PFS not reached for EX and 3.2 months for PEX, p=0.02). We then characterized the expression profile of genes included in nCounter CAR-T Panel in apheresed CD3+ selected T-cells of 36 pts (19 EX and 17 PEX) receiving Tisa-cel (n=16) and Axi-cel (n=20). To discover predictors of CAR T-cell expansion and PFS, we identified a 7-gene model (including PSAT1, BATF3, SIGLEC5, CD86, MS4A4A, HLA-DQA1 and MS4A1) capable of distinguishing EX and PEX (Fig 1A) and segregating pts with different survival probabilities (Fig 1B). The predictive power of the 7-gene model was confirmed by leave-one-out cross validation, gaining >95% overall accuracy and only 2/36 misclassified samples. Multivariate analysis showed that the 7-gene model retained significance (p=0.0002) and was negatively associated with PFS along with the lines of therapy and the IPI score as opposed to CAR T-cell expansion.

Conclusions: Our study highlights that unmanipulated leukapheresis share peculiar immunophenotypic and transcriptional features that correlate with CAR T-cell expansion and survival of pts treated with Tisa-cel and Axi-cel. Despite these results warrant functional validation and confirmation in larger cohort (ongoing), the gene signature identified may represent a pre-manufacturing predictive biomarker of CAR T-cell efficacy that might preferentially drive their employment versus other newly approved therapies, such as bispecific T-cell engagers, at the single patient level.

Disclosures: Corradini: Abbvie, ADC Therapeutics, Amgen, BeiGene, Celgene, Daiichi Sankyo, Gilead/Kite, GlaxoSmithKline, Incyte, Janssen, KyowaKirin, Nerviano Medical Science, Novartis, Roche, Sanofi, Takeda: Consultancy; AbbVie, ADC Therapeutics, Amgen, BeiGene, Celgene, Daiichi Sankyo, Gilead/Kite, GlaxoSmithKline, Incyte, Janssen, KyowaKirin, Nerviano, Novartis, Roche, Sanofi, Takeda: Honoraria; Abbvie, Amgen, Bristol Myers Squibb, Celgene, Gilead/Kite, Janssen, Novartis, Roche, Takeda: Other: Support for attending meetings or travel; Abbvie, ADC Therapeutics, Amgen, BeiGene, Celgene, Daiichi Sankyo, Gilead/Kite, GlaxoSmithKline, Incyte, Janssen, KyowaKirin, Nerviano Medical Science, Novartis, Roche, Sanofi, Takeda: Other: Data monitoring board or advisory board.

*signifies non-member of ASH