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About SexAnnoDB

Sex differences are a growing focus of cancer incidence and mortality studies. Recently, personalized approaches in cancer treatment have taken sex differences into account. However, there are no systematic and intensive analyses of different sex groups until now. Here we built SexAnnoDB(A comprehensive sex annotation database in cancer) to provide a resource and reference for intensive functional annotations of sex effects in cancer to facilitate the development of personalized precision medicine. In this database, we analyzed different levels of molecules, including molecules of genome, epigenome, transcriptome, and proteome of TCGA across 27 cancer types. For each molecule, we performed multiple systematic and bioinformatic analyses, including male-specific differential molecules, female-specific differential molecules, and sex-biased molecules. What's more, we analyzed transcript factor-gene regulation network, RNA binding protein-exon skipping regulation network, ceRNA of female and male groups, diverse variant information (Sex-biased Expression Quantitative Trait Loci (eQTL), Sex-biased Splicing Quantitative Trait Loci (sQTL)), and methylation information (Sex-biased Expression Quantitative Trait Methylation(eQTM), Sex-biased Splicing Quantitative Trait Methylation (sQTM)). SexAnnoDB is the first database that systematically and intensively annotates the sex effect across differential biomolecules in cancer, which will be a unique resource for cancer and drug research communities to develop personalized precision medicine plans for patients.

bullet pointSearch by gene

Examples: Gene symbol: S100A9, Ensembl gene ID: ENSG00000163220

∗Through search by gene, users are able to access the general information and sex-biased regulations of genes.


bullet pointSearch by drug

∗SexAnnoDB provided 205 cancer therapeutic target genes that were targeted by 206 drugs for 40 cancer types from the National Cancer Institute. Through search by drug, users are able to access the drug target genes and the general information and sex-biased regulations of genes.


bullet pointSummary of sex-related regulation for each cancer type

∗Through the browser for each cancer type, users are able to get the summary of cancer, the top 20 sex-biased TF-Gene regulations,top20 sex-biased RBP-ES regulations, sex-biased cis-eQTL regulations, sex-biased cis-sQTL regulations, sex-biased cis-eQTM regulations, sex-biased cis-sQTM regulation of each cancer type.

ACC

BLCA

BRCA

CHOL

COAD

DLBC

ESCA

GBM

HNSC

KICH

KIRC

KIRP

LAML

LGG

LIHC

LUAD

LUSC

MESO

PAAD

PCPG

READ

SARC

SKCM

STAD

THCA

THYM

UVM

bullet pointBrowse the Sex-biased molecules in cancer

∗Users can get a list of genes with the sex-biased molecules.

Sex-biased DNA mutations Sex-biased mRNAs Sex-biased lncRNAs Sex-biased exon skipping

Sex-biased DNA mutations

Sex-biased mRNAs

Sex-biased lncRNAs

Sex-biased exon skipping

Sex-biased DNA methylations Sex-biased proteins Sex-biased miRNAs Sex-biased RNA A-to-I editing

Sex-biased DNA methylations

Sex-biased proteins

Sex-biased miRNAs

Sex-biased RNA A-to-I editing

bullet pointSex-biased regulations

∗Users can get a list of sex-biased genes with the corresponding regulations. Then it will be linked to the general information and related regulations of sex-biased genes.

Sex-biased expression Quantitative Trait Loci Sex-biased expression Quantitative Trait Methylation Sex-biased splicing Quantitative Trait Loci Sex-biased splicing Quantitative Trait Methylation

Sex-biased expression Quantitative Trait Loci (eQTL)

Sex-biased expression Quantitative Trait Methylation (eQTM)

Sex-biased splicing Quantitative Trait Loci (sQTL)

Sex-biased splicing Quantitative Trait Methylation (sQTM)

Sex-biased TF-coding gene network Sex-biased RBP-ES network Sex-biased eRNA network
Sex-biased TF-coding gene network
TF | Coding gene
Sex-biased RBP-ES network
RBP | Coding gene

Sex-biased eRNA network