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

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 01, 2022
Source ID
10.1158/2159-8290.cd-21-0683

Entities

People

  • Angie Lay Keng Tan
  • Asim Shabbir
  • Biyan Zhang
  • Guowei Kim
  • Huey Yew Jeffrey Lum
  • Jimmy So
  • Kalpana Ramnarayanan
  • Kie Kyon Huang
  • Kong-Peng Lam
  • Mayu Koiwa
  • Ming Teh
  • Nisha Padmanabhan
  • Patrick Tan
  • Qingfeng Chen
  • Raghav Sundar
  • Shamaine Wei Ting Ho
  • Shengli Xu
  • Su Ting Tay
  • Supriya Srivastava
  • Tadahito Yasuda
  • Takatsugu Ishimoto
  • Vikrant Kumar
  • Vivien Koh
  • Wei Peng Yong

Organizations

  • Agency for Science, Technology and Research
  • Duke–NUS Medical School
  • Kumamoto University
  • Nanyang Technological University
  • National University Health System
  • Naval Medical Research Center
  • Yong Loo Lin School of Medicine

Tags

Fields of Study

  • Biology

Readers

  • Oncology
  • Oncology (Cancer Research).
  • Oncology and Biomarker-Based Cancer Detection.