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

• Published in: Cancer discovery Vol. 12; no. 3; pp. 670 - 691
• Main Authors: Kumar, Vikrant, Ramnarayanan, Kalpana, Sundar, Raghav, Padmanabhan, Nisha, Srivastava, Supriya, Koiwa, Mayu, Yasuda, Tadahito, Koh, Vivien, Huang, Kie Kyon, Tay, Su Ting, Ho, Shamaine Wei Ting, Tan, Angie Lay Keng, Ishimoto, Takatsugu, Kim, Guowei, Shabbir, Asim, Chen, Qingfeng, Zhang, Biyan, Xu, Shengli, Lam, Kong-Peng, Lum, Huey Yew Jeffrey, Teh, Ming, Yong, Wei Peng, So, Jimmy Bok Yan, Tan, Patrick
• Format: Journal Article
• Language: English
• Published: United States American Association for Cancer Research 01.03.2022
• Subjects: Cancer-Associated Fibroblasts - pathology; Ecosystem; Humans; Single-Cell Analysis; Stomach Neoplasms - genetics; Stomach Neoplasms - pathology; Transcriptome; Tumor Microenvironment - genetics
• ISSN: 2159-8274; 2159-8290
• DOI: 10.1158/2159-8290.cd-21-0683

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. 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.