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Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394383/ https://www.ncbi.nlm.nih.gov/pubmed/34642171 http://dx.doi.org/10.1158/2159-8290.CD-21-0683 |
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author | 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 |
author_facet | 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 |
author_sort | Kumar, Vikrant |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-9394383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-93943832023-01-05 Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer 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 Cancer Discov Research Articles 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 American Association for Cancer Research 2022-03-01 2022-03-08 /pmc/articles/PMC9394383/ /pubmed/34642171 http://dx.doi.org/10.1158/2159-8290.CD-21-0683 Text en ©2021 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by/4.0/This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. |
spellingShingle | Research Articles 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 Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer |
title | Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer |
title_full | Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer |
title_fullStr | Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer |
title_full_unstemmed | Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer |
title_short | Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer |
title_sort | single-cell atlas of lineage states, tumor microenvironment, and subtype-specific expression programs in gastric cancer |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394383/ https://www.ncbi.nlm.nih.gov/pubmed/34642171 http://dx.doi.org/10.1158/2159-8290.CD-21-0683 |
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