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

Authors :
Patrick Tan
Jimmy Bok Yan So
Wei Peng Yong
Ming Teh
Huey Yew Jeffrey Lum
Kong-Peng Lam
Shengli Xu
Biyan Zhang
Qingfeng Chen
Asim Shabbir
Guowei Kim
Takatsugu Ishimoto
Angie Lay Keng Tan
Shamaine Wei Ting Ho
Su Ting Tay
Kie Kyon Huang
Vivien Koh
Tadahito Yasuda
Mayu Koiwa
Supriya Srivastava
Nisha Padmanabhan
Raghav Sundar
Kalpana Ramnarayanan
Vikrant Kumar
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

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

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....933ffc56e0e6a3c0e3446453cd9e102e