Construction and validation of an immunity-related prognostic signature for lung squamous cell carcinoma

Construction and validation of an immunity-related prognostic signature for lung squamous cell carcinoma | 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 Construction and validation of an immunity-related prognostic signature for lung squamous cell carcinoma Bi Chen, Yixin Yan, XUdong Jin, Shaomin Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7950744/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background The aim of the current study is to develop the immune-related prognostic signature in lung squamous cell carcinoma and verify the same via integrated bioinformatics analysis method. Methods For this study, an optimized prognostic risk model was developed by the authors. It has a total of five PIR-lncRNAs (such as AC107884.1, LCMT1-AS1, AL163051.1, AC005730.3 and LINC02635). Survival analysis was conducted in the study followed by independent prognostic analysis upon the prognostic risk model in order to evaluate and verify the model’s prognostic value. In addition to these, the authors also conducted differential analysis for immune cell infiltration between patients of high and low-risk groups in the model. Results In current research work, a total of 21 immune-related genes and 546 differentially-expressed genes were obtain by the authors. On the other hand, co-expression network analysis was conducted from which 654 immune-related lncRNAs (IR-lncRNAs) were identified. With the help of univariate Cox analysis, the study further found 18 prognostic IR-lncRNAs (PIR-lncRNAs). The impact of immunotherapy among the high-risk group patients was found to be lower through the immunotherapy and immune escape analyses. Conclusion The current study outcomes infer the presence of an intrinsic molecular biological linkage between the pathogenic genes of Lung Squamous Cell Carcinoma (LUSC) and the immune cells. This phenomenon has important therapeutic implications and acts as a significant reference to understand the precise and potential immunotherapy of LUSC patients, especially in case of high-risk patients. immune-related genes lncRNAs lung squamous cell carcinoma prognostic risk model immune cell infiltration immunotherapy Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7950744","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":557544252,"identity":"dc8384e4-e724-41a2-9ba6-b7131efa49a4","order_by":0,"name":"Bi Chen","email":"","orcid":"","institution":"Zhejiang Dongfang Polytechnic","correspondingAuthor":false,"prefix":"","firstName":"Bi","middleName":"","lastName":"Chen","suffix":""},{"id":557544253,"identity":"b3aa4cfb-4fb8-4019-be38-45ff30d908e6","order_by":1,"name":"Yixin Yan","email":"","orcid":"","institution":"The Second Affiliated Clinical Medical College of Wenzhou Medical 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infiltration, immunotherapy","lastPublishedDoi":"10.21203/rs.3.rs-7950744/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7950744/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eThe aim of the current study is to develop the immune-related prognostic signature in lung squamous cell carcinoma and verify the same via integrated bioinformatics analysis method.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eFor this study, an optimized prognostic risk model was developed by the authors. It has a total of five PIR-lncRNAs (such as AC107884.1, LCMT1-AS1, AL163051.1, AC005730.3 and LINC02635). Survival analysis was conducted in the study followed by independent prognostic analysis upon the prognostic risk model in order to evaluate and verify the model\u0026rsquo;s prognostic value. In addition to these, the authors also conducted differential analysis for immune cell infiltration between patients of high and low-risk groups in the model.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eIn current research work, a total of 21 immune-related genes and 546 differentially-expressed genes were obtain by the authors. On the other hand, co-expression network analysis was conducted from which 654 immune-related lncRNAs (IR-lncRNAs) were identified. With the help of univariate Cox analysis, the study further found 18 prognostic IR-lncRNAs (PIR-lncRNAs). The impact of immunotherapy among the high-risk group patients was found to be lower through the immunotherapy and immune escape analyses.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eThe current study outcomes infer the presence of an intrinsic molecular biological linkage between the pathogenic genes of Lung Squamous Cell Carcinoma (LUSC) and the immune cells. This phenomenon has important therapeutic implications and acts as a significant reference to understand the precise and potential immunotherapy of LUSC patients, especially in case of high-risk patients.\u003c/p\u003e","manuscriptTitle":"Construction and validation of an immunity-related prognostic signature for lung squamous cell carcinoma","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-13 17:35:35","doi":"10.21203/rs.3.rs-7950744/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"1db88d2e-4419-4f53-baca-cd6929e8c94c","owner":[],"postedDate":"December 13th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-02-02T07:56:06+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-13 17:35:35","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7950744","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7950744","identity":"rs-7950744","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}