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Elucidating Cancer Subtypes by Using Epigenome and Genome Cross-Talk

  • University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

DNA methylation plays a critical role in tumorigenesis and tumor malignancy . The role of this epigenetic phenomena, especially, in the investigation of cancer subtypes remains rather under-explored. In this study, we use sCClust (sparse Canonical Correlation analysis with Clustering), a method that combines high-dimensional omics data using sparse canonical correlation analysis (sCCA), to gene expression and DNA methylation data for prostate cancer to elucidate underlying subtypes. We compare the subtypes with the TCGA taxonomy and evaluate the results using survival analysis. Our findings demonstrate that data integration results in statistically significant subtypes similar to the TCGA subtypes and outperforms existing classification efforts. The significance of this study lies in enhancement in the subtyping of prostate cancer, as well as statistical integration of epigenomic and transcriptomic data.

Original languageEnglish
Title of host publicationBioinformatics and Biomedical Engineering - 11th International Conference, IWBBIO 2024, Proceedings
EditorsIgnacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-16
Number of pages14
ISBN (Print)9783031646287
DOIs
StatePublished - 2024
Event11th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2024 - Gran Canaria, Spain
Duration: Jul 15 2024Jul 17 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14848 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2024
Country/TerritorySpain
CityGran Canaria
Period7/15/247/17/24

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Cancer Subtypes
  • Data Integration
  • DNA Methylation
  • Prostate Adenocarcinoma

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