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Published on: August 15, 2019
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.
Background:
Sexual differences across molecular levels profoundly impact cancer biology and outcomes. Patient gender significantly influences drug responses, with divergent reactions between men and women to the same drugs. Despite databases on sex differences in human tissues, understanding regulations of sex disparities in cancer is limited. These resources lack detailed mechanistic studies on sex-biased molecules.
Methods:
In this study, we conducted a comprehensive examination of molecular distinctions and regulatory networks across 27 cancer types, delving into sex-biased effects. Our analyses encompassed sex-biased competitive endogenous RNA networks, regulatory networks involving sex-biased RNA binding protein-exon skipping events, sex-biased transcription factor-gene regulatory networks, as well as sex-biased expression quantitative trait loci, sex-biased expression quantitative trait methylation, sex-biased splicing quantitative trait loci, and the identification of sex-biased cancer therapeutic drug target genes. All findings from these analyses are accessible on SexAnnoDB ( https://ccsm.uth.edu/SexAnnoDB/ ).
Results:
From these analyses, we defined 126 cancer therapeutic target sex-associated genes. Among them, 9 genes showed sex-biased at both the mRNA and protein levels. Specifically, S100A9 was the target of five drugs, of which calcium has been approved by the FDA for the treatment of colon and rectal cancers. Transcription factor (TF)-gene regulatory network analysis suggested that four TFs in the SARC male group targeted S100A9 and upregulated the expression of S100A9 in these patients. Promoter region methylation status was only associated with S100A9 expression in KIRP female patients. Hypermethylation inhibited S100A9 expression and was responsible for the downregulation of S100A9 in these female patients.
Conclusions:
Comprehensive network and association analyses indicated that the sex differences at the transcriptome level were partially the result of corresponding sex-biased epigenetic and genetic molecules. Overall, SexAnnoDB offers a discipline-specific search platform that could potentially assist basic experimental researchers or physicians in developing personalized treatment plans.
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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