PO.TB10.07 · 肿瘤生物学

Spatial organisation of tumor-infiltrating B cells in Claudin 18.2-expressing advanced gastric cancer predicts response to immune checkpoint inhibition

编号 6207 展板 21 时间 4/21 02:00–05:00 区域 Section 31 主讲 Joseph Zhao
分会场 Spatial Niches and Functional Boundaries within the Tumor Microenvironment 2
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作者与单位

Joseph J. Zhao1, Choong-Kun Lee2, Allison Si-Yu Chan3, Wenyi Luo4, Li Chang5, Woo Sun Kwon6, Sejung Park6, Minkyu Jung7, Joe P. Yeong8, Anand Devaprasath Jeyasekharan1, María Rodríguez Martínez5, Sun Young Rha6, Raghav Sundar4

1National University of Singapore (NUS), Singapore, Singapore,2Yonsei University Health System, Seoul, Korea, Republic of,3Cancer Science Institute of Singapore, Singapore, Singapore,4Yale University School of Medicine, New Haven, CT,5Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT,6Yonsei University College of Medicine, Seoul, Korea, Republic of,7Yonsei University Cancer Center, Seoul, Korea, Republic of,8Singapore General Hospital, Singapore, Singapore

摘要 Abstract

Background : Claudin 18.2 (CLDN18.2), a tight junction protein aberrantly expressed during malignant transformation of gastric cancer (GC), has emerged as a key therapeutic target. This study seeks to understand the role of CLDN18.2 in shaping the tumor microenvironment (TME). Methods : This single-center study included 99 patients with advanced gastric cancer treated first-line immune checkpoint inhibition (ICI) agent(s) with chemotherapy. CLDN18.2 expression was determined using immunohistochemistry (VENTANA 43-14A, Roche) on FFPE biopsies, reported as % 2+/3+. To enable a balanced representation of CLDN18.2 status, a median split approach was employed. Samples were also stained with multiplex-IHC (CK, CD4, CD8, FOXP3, CD68 and CD20) to elucidate the corresponding TME. Orthogonal validation was undertaken through independent analyses of whole transcriptome sequencing (WTS) data from 6 cohorts comprising 1,098 GC tumor samples. Cellular neighbourhood (CN) analyses were conducted using a k -nearest neighbors' algorithm. Survival analyses were conducted with a Cox-proportional hazards model. Results : We retrieved CLDN18.2 status through median-split of CLDN18.2 expression (25.1%), yielding 44 CLDN18.2 high samples and 45 CLDN18.2 low samples. We observed an increase in CD20 + B cell density in CLDN18.2 high samples (p=0.042), whereas no significant differences in cell density were observed in CD4 + /CD8 + T cells, CD68 + macrophages and FOXP3 + Tregs. These findings were orthogonally validated utilizing immune cell deconvolution (xCell, Epic & MCP-counter) across the 6 independent WTS cohorts. CLDN18.2 status alone did not predict for response or survival (overall survival [OS], HR=1.02, p=0.947). GCs with increased CD20 + B cell density was found to confer a greater magnitude of benefit from first-line ICI (OS, HR=0.71, p=0.196), but the benefit was largely conserved amongst CLDN18.2 low tumors and not in CLDN18.2 high tumors (OS interaction p=0.109). We identified 4 B cell related CNs: B-TumorInfiltrating, B-MacrophageNiche, B-LA/TLS (Lymphoid Aggregate/Tertiary Lymphoid Structure) and B-ImmuneNiche. In CLDN18.2 high tumors, we observed a relative increase in CD20 + B cell abundance within B-TumorInfiltrating and B-MacrophageNiche CNs and a relative decrease in B cell abundance within B-LA/TLS and B-ImmuneNiche CNs in comparison to CLDN18.2 low tumors. While B-ImmuneNiche and B-LA/TLS conferred ICI sensitivity, the relative enrichment of B cells within a B-TumorInfiltrating CN compared to a B-ImmuneNiche CN conferred ICI resistance, particularly in CLDN18.2 high tumors (OS, HR=2.60, p=0.040). Conclusions : The CLDN18.2 high gastric cancer microenvironment is characterized by an enriched humoral response. Intra-tumoral B cell infiltration confers ICI resistance in a CLDN18.2 high microenvironment.
利益披露 Disclosure
J. J. Zhao, National University Health System ). Yong Loo Lin School of Medicine, National University of Singapore ). W. Luo, None.. L. Chang, None.. M. Rodríguez Martínez, None.

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