Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer

Vikrant Kumar(Duke-NUS Medical School), Kalpana Ramnarayanan(Duke-NUS Medical School), Raghav Sundar(National University of Singapore), Nisha Padmanabhan(Duke-NUS Medical School), Supriya Srivastava(National University of Singapore), Mayu Koiwa(Kumamoto University), Tadahito Yasuda(Kumamoto University), Vivien Koh(National University of Singapore), Kie Kyon Huang(Duke-NUS Medical School), Su Ting Tay(Duke-NUS Medical School), Shamaine Wei Ting Ho(National University of Singapore), Angie Lay Keng Tan(Duke-NUS Medical School), Takatsugu Ishimoto(Kumamoto University), Guowei Kim(National University of Singapore), Asim Shabbir(National University of Singapore), Qingfeng Chen(Agency for Science, Technology and Research), Biyan Zhang(Singapore Immunology Network), Shengli Xu(National University of Singapore), Kong‐Peng Lam(National University of Singapore), Huey Yew Jeffrey Lum(National University Health System), Ming Teh(National University Health System), Wei Peng Yong(National University of Singapore), Jimmy Bok Yan So(National University of Singapore), Patrick Tan(Agency for Science, Technology and Research)
Cancer Discovery
October 12, 2021
Cited by 533Open Access
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Abstract

Gastric cancer heterogeneity represents a barrier to disease management. We generated a comprehensive single-cell atlas of gastric cancer (>200,000 cells) comprising 48 samples from 31 patients across clinical stages and histologic subtypes. We identified 34 distinct cell-lineage states including novel rare cell populations. Many lineage states exhibited distinct cancer-associated expression profiles, individually contributing to a combined tumor-wide molecular collage. We observed increased plasma cell proportions in diffuse-type tumors associated with epithelial-resident KLF2 and stage-wise accrual of cancer-associated fibroblast subpopulations marked by high INHBA and FAP coexpression. Single-cell comparisons between patient-derived organoids (PDO) and primary tumors highlighted inter- and intralineage similarities and differences, demarcating molecular boundaries of PDOs as experimental models. We complemented these findings by spatial transcriptomics, orthogonal validation in independent bulk RNA-sequencing cohorts, and functional demonstration using in vitro and in vivo models. Our results provide a high-resolution molecular resource of intra- and interpatient lineage states across distinct gastric cancer subtypes. SIGNIFICANCE: We profiled gastric malignancies at single-cell resolution and identified increased plasma cell proportions as a novel feature of diffuse-type tumors. We also uncovered distinct cancer-associated fibroblast subtypes with INHBA-FAP-high cell populations as predictors of poor clinical prognosis. Our findings highlight potential origins of deregulated cell states in the gastric tumor ecosystem. This article is highlighted in the In This Issue feature, p. 587.


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