Single-cell RNA sequencing revealed heterogeneity of the immune microenvironment in gastric cancer

Single-cell RNA sequencing revealed heterogeneity of the immune microenvironment in gastric cancer | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Single-cell RNA sequencing revealed heterogeneity of the immune microenvironment in gastric cancer Guang-Hui Liu, Yuan-Hua Liu, Qing-Qing Ding, Hong-Chao Zhao, Jun-Feng Sun, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7504119/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Tumor microenvironment (TME) cells constitute a critical component of tumor tissues, and mounting evidence has highlighted their clinicopathological significance in predicting patient outcomes and therapeutic efficacy. Single-cell RNA sequencing (scRNA-seq) enables a comprehensive analysis of diverse cell types within tumors across various biological states and conditions, offering deeper insights into immune profiles. In this study, we systematically searched publicly available scRNA-seq gene expression datasets related to gastric cancer and collected a total of 458,150 cells from 109 samples, including primary gastric cancer, metastatic cancer, paired para-cancerous normal tissues, and peripheral blood. We then investigated the TME of primary and metastatic gastric cancer, analyzing cellular composition, differential gene expression, pseudo-time trajectories, and intercellular interactions. Our findings reveal the pivotal role of T cells, B cells, and macrophages in shaping the heterogeneous TME across different samples. This comprehensive characterization of immune heterogeneity in gastric cancer provides valuable insights for designing personalized therapeutic strategies in clinical practice. Single-cell RNA-seq gastric cancer immune heterogeneity microenvironment Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 07 Jan, 2026 Reviews received at journal 27 Dec, 2025 Reviews received at journal 23 Dec, 2025 Reviewers agreed at journal 16 Dec, 2025 Reviewers agreed at journal 07 Dec, 2025 Reviewers invited by journal 05 Dec, 2025 Editor assigned by journal 13 Nov, 2025 Submission checks completed at journal 12 Nov, 2025 First submitted to journal 12 Nov, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7504119","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":556516960,"identity":"0007f300-704b-4686-908d-7defb245e4ff","order_by":0,"name":"Guang-Hui 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