Impact of tumor microenvironment on efficacy of anti-CD19 CAR T cell therapy or chemotherapy and transplant in large B cell lymphoma.

The phase 3 ZUMA-7 trial in second-line large B cell lymphoma demonstrated superiority of anti-CD19 CAR T cell therapy (axicabtagene ciloleucel (axi-cel)) over standard of care (SOC; salvage chemotherapy followed by hematopoietic transplantation) ( NCT03391466 ). Here, we present a prespecified exploratory analysis examining the association between pretreatment tumor characteristics and the efficacy of axi-cel versus SOC. B cell gene expression signature (GES) and CD19 expression associated significantly with improved event-free survival for axi-cel (P = 0.0002 for B cell GES; P = 0.0165 for CD19 expression) but not SOC (P = 0.9374 for B cell GES; P = 0.5526 for CD19 expression). Axi-cel showed superior event-free survival over SOC irrespective of B cell GES and CD19 expression (P = 8.56 × 10-9 for B cell GES high; P = 0.0019 for B cell GES low; P = 3.85 × 10-9 for CD19 gene high; P = 0.0017 for CD19 gene low). Low CD19 expression in malignant cells correlated with a tumor GES consisting of immune-suppressive stromal and myeloid genes, highlighting the inter-relation between malignant cell features and immune contexture substantially impacting axi-cel outcomes. Tumor burden, lactate dehydrogenase and cell-of-origin impacted SOC more than axi-cel outcomes. T cell activation and B cell GES, which are associated with improved axi-cel outcome, decreased with increasing lines of therapy. These data highlight differences in resistance mechanisms to axi-cel and SOC and support earlier intervention with axi-cel.

Tumor immune contexture is a determinant of anti-CD19 CAR T cell efficacy in large B cell lymphoma.

Axicabtagene ciloleucel (axi-cel) is an anti-CD19 chimeric antigen receptor (CAR) T cell therapy approved for relapsed/refractory large B cell lymphoma (LBCL) and has treatment with similar efficacy across conventional LBCL subtypes. Toward patient stratification, we assessed whether tumor immune contexture influenced clinical outcomes after axi-cel. We evaluated the tumor microenvironment (TME) of 135 pre-treatment and post-treatment tumor biopsies taken from 51 patients in the ZUMA-1 phase 2 trial. We uncovered dynamic patterns that occurred within 2 weeks after axi-cel. The biological associations among Immunoscore (quantification of tumor-infiltrating T cell density), Immunosign 21 (expression of pre-defined immune gene panel) and cell subsets were validated in three independent LBCL datasets. In the ZUMA-1 trial samples, clinical response and overall survival were associated with pre-treatment immune contexture as characterized by Immunoscore and Immunosign 21. Circulating CAR T cell levels were associated with post-treatment TME T cell exhaustion. TME enriched for chemokines (CCL5 and CCL22), γ-chain receptor cytokines (IL-15, IL-7 and IL-21) and interferon-regulated molecules were associated with T cell infiltration and markers of activity. Finally, high density of regulatory T cells in pre-treatment TME associated with reduced axi-cel-related neurologic toxicity. These findings advance the understanding of LBCL TME characteristics associated with clinical responses to anti-CD19 CAR T cell therapy and could foster biomarker development and treatment optimization for patients with LBCL.

Resistance of hepatitis C virus to NS3-4A protease inhibitors: mechanisms of drug resistance induced by R155Q, A156T, D168A and D168V mutations.

BACKGROUND/AIMS: One of the main issues in the development of antiviral therapy is the emergence of drug-resistant viruses. In the case of hepatitis C virus (HCV), selection of drug-resistant mutants was evidenced by in vitro studies on protease inhibitors (PIs); for example, BILN-2061, VX-950 and SCH-6. Four mutations in the HCV protease (R155Q, A156T, D168A and D168V) have been identified in vitro in the HCV replicon system that confer resistance to BILN-2061 (a reference inhibitor). However, the molecular mechanism of drug resistance is still unknown. The aim of this study is to unravel, using an molecular modelling strategy, the structural basis of such molecular mechanism of HCV resistance to PIs. We focused on protease mutations conferring HCV resistance to BILN-2061 and described for the first time such mechanism at a molecular level. METHODS: The structures of drug-resistant NS3 proteases were obtained by mutation of selected residues (R155Q, A156T, D168A and D168V) and the ternary complexes formed between NS3-4A and BILN-2061 were optimized using GenMol software (www.3dgenoscience.com; Genoscience, Marseille, France). RESULTS: Two mechanisms were evidenced for viral resistance to BILN-2061. A 'direct' resistance mechanism is based on contacts between the mutated R155Q and A156T protease residues and its inhibitor. In the 'indirect' resistance mechanism, the mutated D168A/V residue is not in close contact with the drug itself but interacts with other residues connected to the drug. CONCLUSIONS: These data provide new insights in the understanding of the mechanisms of HCV drug escape, and may allow predicting potential cross-resistance phenomenon with other PIs. This approach can be used as a basis for future rational PI drug design candidates.