HCA Data Explorer

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

Updated March 24, 2023

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.SignificanceWe 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.

Patrick TanCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.gmstanp@duke-nus.edu.sg
Vikrant Kumar1
Kalpana Ramnarayanan1
Raghav Sundar1
Nisha Padmanabhan1
Supriya Srivastava2
Mayu Koiwa3
Tadahito Yasuda3
Vivien Koh4
Kie Kyon Huang1
Su Ting Tay1
Shamaine Wei Ting Ho1
Angie Lay Keng Tan1
Takatsugu Ishimoto3
Guowei Kim5
Asim Shabbir5
Qingfeng Chen6
Biyan Zhang7
Shengli Xu7
Kong-Peng Lam8
Huey Yew Jeffrey Lum9
Ming Teh9
Wei Peng Yong4
Jimmy Bok Yan So5
Patrick Tan (Experimental Scientist)1
1Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
2Department of Medicine, National University of Singapore, Singapore.
3Gastrointestinal Cancer Biology, International Research Center for Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan.
4Department of Haematology-Oncology, National University Cancer Institute, National University Health System, Singapore.
5Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
6Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.
7Singapore Immunology Network (SIgN), A*STAR, Singapore.
8Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, Singapore.
9Department of Pathology, National University Health System, Singapore.
Rachel Schwartz

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/c281ab63-7b7d-4bdf-b761-9b1baaa18f82
None
GEO Series Accessions:

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Analysis Portals

None

Project Label

LineagestatesGastricCancer

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

2 anatomical entities

Organ Part

5 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

gastric adenocarcinoma

Development Stage

human adult stage

Library Construction Method

10x TCR enrichment

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1

File Format

2 file formats

Cell Count Estimate

200.0k

Donor Count

29
tar1 file(s)xlsx1 file(s)