RNA-sequencing and microarray data mining revealing: the aberrantly expressed mRNAs were related with a poor outcome

Hongjun Fei1, Songchang Chen1, Chenming Xu1

  • 1Department of Reproductive Genetics, Shanghai Key Laboratory of Embryo Original Diseases, International Peace Maternity and Child Health Hospital, Shanghai Municipal Key Clinical Specialty, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.

Abstract

Insights

This study identifies N-acetyltransferase 1 (NAT1), GATA binding protein 3 (GATA3), and signal peptide CUB domain containing 2 (SCUBE2) as key genes in triple-negative breast cancer (TNBC). Their expression is linked to patient prognosis, suggesting potential therapeutic targets for TNBC.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Triple-negative breast cancer (TNBC) lacks specific molecular targets and targeted therapies, posing a clinical challenge.
  • Current American Society of Clinical Oncology guidelines offer limited specific approaches for TNBC management.

Purpose of the Study:

  • To identify novel molecular targets and potential therapeutic strategies for triple-negative breast cancer.
  • To analyze differentially expressed genes (DEGs) in TNBC using bioinformatics approaches.

Main Methods:

  • RNA-sequencing data from Gene Expression Omnibus (GEO) database was analyzed to identify aberrantly expressed mRNAs in TNBC.
  • Differentially expressed genes (DEGs) were rigorously analyzed using combined bioinformatics approaches, including hierarchical clustering, functional and pathway enrichment, and protein-protein interaction (PPI) network construction.
  • Co-expression and co-occurrence analyses were performed to investigate the relationships between candidate genes and N-acetyltransferase 1 (NAT1).

Main Results:

  • Out of 21,755 genes analyzed across 472 TNBC cases, 159 mRNAs were identified as DEGs.
  • N-acetyltransferase 1 (NAT1) exhibited the most significant expression change among all DEGs.
  • Three hub genes, desmoglein 3 (DSG3), FAM83D, and GATA3, were identified through PPI network analysis. NAT1 co-expression analysis revealed significant associations with GATA3, TFF3, FOXA1, SCUBE2, and GPR160. GATA3 and SCUBE2 showed a tendency for co-occurrence with NAT1 in TNBC.
  • Survival analysis indicated that the expression of NAT1, GATA3, and SCUBE2 is significantly correlated with patient prognosis.

Conclusions:

  • N-acetyltransferase 1 (NAT1), GATA binding protein 3 (GATA3), and signal peptide CUB domain containing 2 (SCUBE2) are identified as key genes potentially playing vital roles in triple-negative breast cancer.
  • These genes represent promising candidates for further investigation as potential biomarkers and therapeutic targets for TNBC.