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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
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
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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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