Gene Expression Patterns as Useful Biomarkers for TNBC Patients

Activity: Talk or presentation types › Oral presentation

Description

Triple negative breast cancer (TNBC) is a breast cancer subtype characterised by lack of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor (HER2) with considerably worse prognosis than other cancer types. TNBC accounts for 10-15% of all breast cancer cases with aggressive clinical behaviour such as high relapse rates and increased metastatic potential. Due to lack of molecular targets theses patients don’t respond to hormonal or HER2 therapies and chemotherapy remains the only treatment option for those patients. Considering development of innovative new treatment options there is a need to identify new biomarkers stratification of different TNBC subtypes to recruit patients for the best treatment option available based on their biomarker profile. The aim of this study was to identify TNBC specific tumour gene expression profiles, which would serve as biomarkers. . 19 breast cancer transcriptomes were sequenced using Illumina platform. Based on gene expression results the TNBC subgroup of 5 was identified and compared to non-TNBC group, to identify differentially expressed genes (DEGs). Gene ontology (GO) enrichment analysis was conducted using ToppGene tool. Afterwards STRING online database was used for protein-protein interaction (PPI) network construction. Cytohubba and MCODE plug-in was used to screen functional modules and hub genes.. In total 229 DEGs were identified by differential gene expression analysis in the TNBC group compared to non-TNBC type. Eight hub genes - FOXA1, ESR1, TFF1, GATA3, TFF3, AR, SLC39A6, COL9A1 were screened out from the PPI network.. This study suggests that gene expression patterns for TNBC subtype provide useful information for targeted, biomarker driven therapy options. AR gene expression pattern (up- or downregulated) would be promising biomarker to identify patients legible for anti-androgen therapy. Other 7 identified gene expression patterns may provide useful information in combination with conventional immunohistological markers, genomic and epigenomic markers.
Period29 Mar 2023
Event titleRSU International Research Conference 2023: Knowledge for Use in Practice
Event typeConference
OrganiserRīga Stradiņš University
LocationRiga, LatviaShow on map
Degree of RecognitionInternational

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