SexAnnoDB, a knowledgebase of sex-specific regulations from multi-omics data of human cancers

Mengyuan Yang1, Yuzhou Feng2,3, Jiajia Liu4

  • 1School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China. mengyuanyang@zzu.edu.cn.

PubMed
Abstract

Insights

This study reveals sex-biased molecules and regulatory networks driving cancer disparities. Understanding these sex differences in cancer is key for developing personalized treatments and improving patient outcomes.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Sexual dimorphism significantly impacts cancer biology, influencing patient responses to therapies.
  • Existing databases lack detailed mechanistic insights into sex-biased molecules in cancer.
  • Understanding sex disparities in cancer is crucial for personalized medicine.

Purpose of the Study:

  • To comprehensively examine molecular distinctions and regulatory networks across 27 cancer types, focusing on sex-biased effects.
  • To identify sex-biased cancer therapeutic drug target genes.
  • To provide a resource (SexAnnoDB) for exploring sex differences in cancer.

Main Methods:

  • Analysis of sex-biased competitive endogenous RNA networks.
  • Investigation of sex-biased RNA binding protein-exon skipping events.
  • Examination of sex-biased transcription factor-gene regulatory networks, expression quantitative trait loci/methylation, and splicing quantitative trait loci.
  • Identification of sex-biased cancer therapeutic drug targets.

Main Results:

  • 126 cancer therapeutic target sex-associated genes were identified.
  • Nine genes exhibited sex-bias at both mRNA and protein levels.
  • S100A9, a target of five drugs including FDA-approved calcium for colorectal cancers, showed sex-specific regulation via transcription factors (males) and promoter methylation (females).

Conclusions:

  • Sex differences in cancer transcriptomes are partly driven by sex-biased epigenetic and genetic factors.
  • SexAnnoDB serves as a specialized platform for researchers and clinicians.
  • The findings support the development of personalized treatment strategies based on sex-specific molecular profiles.

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