Analysis Network Centrality Reveals SignificantGenes in Breast Cancer

Analysis Network Centrality Reveals SignificantGenes in Breast 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 Analysis Network Centrality Reveals SignificantGenes in Breast Cancer Angga Aditya Permana, Wisnu Ananta Kusuma, Sri Nurdiati, Irmanida Batubara This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6467306/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 Breast cancer is a complex disease that requires early detection for effective treat-ment. Single nucleotide polymorphism (SNPs) help identify associations betweengenetic variation and cancer susceptibility. Network analysis facilities SNP selec-tion and maps their location within specific genes. This study aimed to identifykey breast cancer-related genes using three community detection algorithms:Spinglass, Girvan-Newman and Belief. The best algorithm was determined usingprincipal component analysis (PCA), while the most significant genes were iden-tified based on four centrality measures: betwenness, degree, closeness, maximal1clique centrality. The analysis identified 42 specific genes, with seven genes(ESR1, BRD4, FRYL, MYO5A, NTN1, PPFIBP1 and STAT3) listed in theCatalogue of Somatic Mutations in Cancer (COSMIC). Additionally, five genes(ESR1, BRD4, FRYL, PPFIBP1 and STAT3) were recognized as the hallmarksof cancer, with ESR1 specifically linked to breast cancer. Validation confirmedthat ESR1, BRD4, FRYL and STAT3 are associated with breast cancer. Thefindings highlight the potential of network centrality in identifying key genesrelated to breast cancer. breast cancer community detection gene network analysis SNP 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-6467306","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":458919596,"identity":"41945543-a061-4a15-a070-80a9fecb4fcc","order_by":0,"name":"Angga Aditya Permana","email":"","orcid":"","institution":"IPB University","correspondingAuthor":false,"prefix":"","firstName":"Angga","middleName":"Aditya","lastName":"Permana","suffix":""},{"id":458919597,"identity":"d7381e7b-0117-426a-b7c8-2194e349059f","order_by":1,"name":"Wisnu Ananta Kusuma","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6klEQVRIiWNgGAWjYPACGwiVwHAATB/gIaThAEMa6VoOI5hggE8L/+zmZ48/1JyXN5duf8DwcMcdBv72A4wH3uDRInHnmLnBgWO3DXfOOWPAkHjmGYPEmQSGg3PwOepGgpnEAbbbjBtu5DAwJLYBXXiDgeEwPofJ30j/JnHg3zn7DTfSH4C1yBPSYnAjx0ziYNuBxA03EgzAWgwIaTG8kVMmcbYvORnklwNAv/AYnklswOsXuRvp2yQqvtnZbpduf/jw5447cnLHDx/+gC/EEC6UAEYKYwMoRoAkUQCkhWjFo2AUjIJRMLIAAJfjWvg8ZnzIAAAAAElFTkSuQmCC","orcid":"","institution":"IPB University","correspondingAuthor":true,"prefix":"","firstName":"Wisnu","middleName":"Ananta","lastName":"Kusuma","suffix":""},{"id":458919598,"identity":"448be2b7-a952-466e-9dd6-ab4f4bb91a61","order_by":2,"name":"Sri Nurdiati","email":"","orcid":"","institution":"IPB University","correspondingAuthor":false,"prefix":"","firstName":"Sri","middleName":"","lastName":"Nurdiati","suffix":""},{"id":458919599,"identity":"b3d82ebe-d370-4d70-8b9f-8a41cdb8e7b0","order_by":3,"name":"Irmanida Batubara","email":"","orcid":"","institution":"IPB University","correspondingAuthor":false,"prefix":"","firstName":"Irmanida","middleName":"","lastName":"Batubara","suffix":""}],"badges":[],"createdAt":"2025-04-17 02:53:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6467306/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6467306/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":96919900,"identity":"512d2624-9fdd-4154-95bb-afcde3fb023a","added_by":"auto","created_at":"2025-11-27 14:14:36","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2632141,"visible":true,"origin":"","legend":"","description":"","filename":"AnalysisNetworkCentralityRevealsSignificantGenesinBreastCancer3.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6467306/v1_covered_68d8ba13-7ae7-41d4-9286-746614ee56e8.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Analysis Network Centrality Reveals SignificantGenes in Breast 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":"breast cancer, community detection, gene, network analysis, SNP","lastPublishedDoi":"10.21203/rs.3.rs-6467306/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6467306/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Breast cancer is a complex disease that requires early detection for effective treat-ment. 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