MammOnc-DB, an integrative breast cancer data analysis platform for target discovery

dc.contributor.authorKarthikeyan, Santhosh Kumar
dc.contributor.authorChandrashekar, Darshan S.
dc.contributor.authorSahai, Snigdha
dc.contributor.authorShrestha, Sadeep
dc.contributor.authorAneja, Ritu
dc.contributor.authorSingh, Rajesh
dc.contributor.authorKleer, Celina G.
dc.contributor.authorKumar, Sidharth
dc.contributor.authorQin, Zhaohui S.
dc.contributor.authorNakshatri, Harikrishna
dc.contributor.authorManne, Upender
dc.contributor.authorCreighton, Chad J.
dc.contributor.authorVarambally, Sooryanarayana
dc.contributor.departmentSurgery, School of Medicine
dc.date.accessioned2025-05-19T11:55:14Z
dc.date.available2025-05-19T11:55:14Z
dc.date.issued2025-04-18
dc.description.abstractBreast cancer (BCa), a leading malignancy among women, is characterized by morphological and molecular heterogeneity. While early-stage, hormone receptor, and HER2-positive BCa are treatable, triple-negative BCa and metastatic BCa remains largely untreatable. Advances in sequencing and proteomic technologies have improved our understanding of the molecular alterations that occur during BCa initiation and progression and enabled identification of subclass-specific biomarkers and therapeutic targets. Despite the availability of abundant omics data in public repositories, user-friendly tools for multi-omics data analysis and integration are scarce. To address this, we developed a comprehensive BCa data analysis platform called MammOnc-DB ( http://resource.path.uab.edu/MammOnc-Home.html ), comprising data from more than 20,000 BCa samples. MammOnc-DB facilitates hypothesis generation and testing, biomarker discovery, and therapeutic targets identification. The platform also includes pre- and post-treatment data, which can help users identify treatment resistance markers and support combination therapy strategies, offering researchers and clinicians a comprehensive tool for BCa data analysis and visualization.
dc.eprint.versionFinal published version
dc.identifier.citationKarthikeyan SK, Chandrashekar DS, Sahai S, et al. MammOnc-DB, an integrative breast cancer data analysis platform for target discovery. NPJ Breast Cancer. 2025;11(1):35. Published 2025 Apr 18. doi:10.1038/s41523-025-00750-x
dc.identifier.urihttps://hdl.handle.net/1805/48225
dc.language.isoen_US
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/s41523-025-00750-x
dc.relation.journalNPJ Breast Cancer
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcePMC
dc.subjectBreast cancer
dc.subjectTumour biomarkers
dc.subjectMetastases
dc.titleMammOnc-DB, an integrative breast cancer data analysis platform for target discovery
dc.typeArticle
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