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Determinants of Response and Intrinsic Resistance to PD-1 Blockade in Microsatellite Instability-High Gastric Cancer

Authors
Kwon, MinsukAn, MinaeKlempner, Samuel J.Lee, HyukKim, Kyoung-MeeSa, Jason K.Cho, Hee JinHong, Jung YongLee, TaehyangMin, Yang WonKim, Tae JunMin, Byung-HoonPark, Woong-YangKang, Won KiKim, Kyu-TaeKim, Seung TaeLee, Jeeyun
Issue Date
9월-2021
Publisher
AMER ASSOC CANCER RESEARCH
Citation
CANCER DISCOVERY, v.11, no.9, pp.2168 - 2185
Indexed
SCIE
SCOPUS
Journal Title
CANCER DISCOVERY
Volume
11
Number
9
Start Page
2168
End Page
2185
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/136792
DOI
10.1158/2159-8290.CD-21-0219
ISSN
2159-8274
Abstract
Sequence alterations in microsatellites and an elevated mutational burden are observed in 20% of gastric cancers and associated with clinical response to anti-PD-1 antibodies. However, 50% of microsatellite instability-high (MSI-H) cancers are intrinsically resistant to PD-1 therapies. We conducted a phase II trial of pembrolizumab in patients with advanced MSI-H gastric cancer and included serial and multi-region tissue samples in addition to serial peripheral blood analyses. The number of whole-exome sequencing (WES)-derived nonsynonymous mutations correlated with antitumor activity and prolonged progression-free survival (PFS). Coupling WES to single-cell RNA sequencing, we identified dynamic tumor evolution with greater on-treatment collapse of mutational architecture in responders. Diverse T-cell receptor repertoire was associated with longer PFS to pembrolizumab. In addition, an increase in PD-1(+) CD8(+) T cells correlated with durable clinical benefit. Our findings highlight the genomic, immunologic, and clinical outcome heterogeneity within MSI-H gastric cancer and may inform development of strategies to enhance responsiveness. SIGNIFICANCE: This study highlights response heterogeneity within MSI-H gastric cancer treated with pembrolizumab monotherapy and underscores the potential for extended baseline and early on-treatment biomarker analyses to identify responders. The observed markers of intrinsic resistance have implications for patient stratification to inform novel combinations among patients with intrinsically resistant features.
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