Construction of a PANoptosis-Related LncRNA Prognostic Model and Study on the Function of Linc01135 for Gastric Cancer

Construction of a PANoptosis-Related LncRNA Prognostic Model and Study on the Function of Linc01135 for 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 Construction of a PANoptosis-Related LncRNA Prognostic Model and Study on the Function of Linc01135 for Gastric Cancer Zidong Zhao, Dandan Zhao, Yanwen Liu, Kejian Wu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4462369/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 Objective Our study aimed to construct a predictive model for gastric cancer using PANoptosis-related LncRNAs. Additionally, the function of the model crucial molecule Linc01135 in gastric cancer cells will be explored. Materials and Methods We performed multiple Bioinformatics methods from the Cancer Genome Atlas (TCGA) database to develop a prediction signature. Fluorescence in situ hybridization (FISH) technology was utilized to analyze the localization of Linc01135. In addition, the function of Linc01135 on gastric cancer was assessed through various assays including CTG, colony formation, and scratch experiments. Finally, to identify specific proteins that bind with Linc01135, RNA Pulldown and Ribosome Immunoprecipitation (RIP) experiments were conducted. Result We developed a prognostic model for gastric cancer comprising of 7 lncRNAs. This model effectively distinguishes between high-risk and low-risk populations, as well as accurately predicts survival status. The subcellular localization of Linc01135 was found located in nucleus of HGC-27 cells. In terms of functionality, the knockdown of Linc01135 resulted in a significant reduction in the proliferation and migration abilities of gastric cancer cells. Mechanistically, Linc01135 exhibited specific binding affinity towards CDC45. Ultimately, rescue experiments demonstrated that overexpression of CDC45 partially counteracted the effects caused by knockdown of linc01135 on the proliferation and migration abilities of gastric cancer cells. Conclusion A predictive model based on PANoptosis-Related LncRNA can evaluate prognosis gastric cancer PANoptosis LncRNA Prognosis proliferation and migration CDC45 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. 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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-4462369","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":309523795,"identity":"8bcdbb50-57ec-472a-9c5a-562a1cb872a9","order_by":0,"name":"Zidong Zhao","email":"","orcid":"","institution":"Southeast University","correspondingAuthor":false,"prefix":"","firstName":"Zidong","middleName":"","lastName":"Zhao","suffix":""},{"id":309523796,"identity":"af1b93aa-7eef-4e84-9a77-d0d95357a30a","order_by":1,"name":"Dandan Zhao","email":"","orcid":"","institution":"Affiliated Hospital of Xuzhou Medical College","correspondingAuthor":false,"prefix":"","firstName":"Dandan","middleName":"","lastName":"Zhao","suffix":""},{"id":309523797,"identity":"f837fb6c-7bf4-4f63-8456-e7229f256d8e","order_by":2,"name":"Yanwen Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2ElEQVRIie3QPQrCMBTA8UjgdXk4R9R6hUigLkWvkiI49QCOLQHd3AUP0SOkdOjiIVIEuzi4iuBHHEVs3RzyH8P7Qd4jxOX6w4B2Ei2XIYKXvB46SRPpeio1Zr8YdFG3JD6WalytitBnsiUBFq2YBIrQq6sDknCYaXo0zQQBoR8LgWQhMg0T3kwYWgJ9JEWUaQTWTDh7fqysr0juLQjmikvJ7VhAkegWxEtTI7XdJha9HZ+LbQHBVzJSnskvt/tstC6r82k5HW5KdfxK3rKnoj/Mu1wul+tzD0E0QmfJatFoAAAAAElFTkSuQmCC","orcid":"","institution":"Zhongda Hospital Southeast University","correspondingAuthor":true,"prefix":"","firstName":"Yanwen","middleName":"","lastName":"Liu","suffix":""},{"id":309523798,"identity":"056b96f9-8121-4d4d-b054-0088562b7a8a","order_by":3,"name":"Kejian Wu","email":"","orcid":"","institution":"Affiliated Hospital of Xuzhou Medical College","correspondingAuthor":false,"prefix":"","firstName":"Kejian","middleName":"","lastName":"Wu","suffix":""}],"badges":[],"createdAt":"2024-05-22 16:56:52","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4462369/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4462369/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":58391733,"identity":"2a8445e3-4f90-4e78-ac16-a7ccf1e58dfd","added_by":"auto","created_at":"2024-06-14 21:01:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1557402,"visible":true,"origin":"","legend":"","description":"","filename":"ConstructionofaPANoptosisRelatedLncRNAPrognosticModelandStudyontheFunctionofLinc01135forGastricCancer2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4462369/v1_covered_1159963d-d4d9-41b5-99f4-268df5d1294e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Construction of a PANoptosis-Related LncRNA Prognostic Model and Study on the Function of Linc01135 for Gastric Cancer","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"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},"keywords":"gastric cancer, PANoptosis, LncRNA, Prognosis, proliferation and migration, CDC45","lastPublishedDoi":"10.21203/rs.3.rs-4462369/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4462369/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eObjective\u003c/h2\u003e \u003cp\u003eOur study aimed to construct a predictive model for gastric cancer using PANoptosis-related LncRNAs. Additionally, the function of the model crucial molecule Linc01135 in gastric cancer cells will be explored.\u003c/p\u003e\u003ch2\u003eMaterials and Methods\u003c/h2\u003e \u003cp\u003eWe performed multiple Bioinformatics methods from the Cancer Genome Atlas (TCGA) database to develop a prediction signature. Fluorescence in situ hybridization (FISH) technology was utilized to analyze the localization of Linc01135. In addition, the function of Linc01135 on gastric cancer was assessed through various assays including CTG, colony formation, and scratch experiments. Finally, to identify specific proteins that bind with Linc01135, RNA Pulldown and Ribosome Immunoprecipitation (RIP) experiments were conducted.\u003c/p\u003e\u003ch2\u003eResult\u003c/h2\u003e \u003cp\u003eWe developed a prognostic model for gastric cancer comprising of 7 lncRNAs. This model effectively distinguishes between high-risk and low-risk populations, as well as accurately predicts survival status. 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