<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Triple negative breast cancer (TNBC) is a breast cancer subtype characterised by lack of oestrogen receptor, progesterone receptor, and human epidermal growth factor receptor, and by worse prognosis than other cancer types. The aim of this study was to identify hub genes and molecular pathways for possible prognostic markers for TNBC. Nineteen breast cancer transcriptomes were sequenced using Illumina platform and analysed to identify differentially expressed genes in the TNBC subtype. Gene ontology enrichment analysis was conducted using the ToppGene tool. Then, the STRING online database was used for protein-protein interaction (PPI) network construction. Cytohubba and the MCODE plug-in were used to screen functional modules and hub genes. In total, 229 DEGs were identified by differential gene expression analysis in the TNBC group. Eight genes were screened out from the PPI network — <italic>FOXA1, ESR1, TFF1, GATA3, TFF3, AR, SLC39A6, COL9A1</italic>. In conclusion, this study indicates that the molecular subtype specific gene expression pattern provides useful information for targeted, biomarker-driven treatment options.</p>
</abstract>

Triple negative breast cancer (TNBC) is a breast cancer subtype characterised by lack of oestrogen receptor, progesterone receptor, and human epidermal growth factor receptor, and by worse prognosis than other cancer types. The aim of this study was to identify hub genes and molecular pathways for possible prognostic markers for TNBC. Nineteen breast cancer transcriptomes were sequenced using Illumina platform and analysed to identify differentially expressed genes in the TNBC subtype. Gene ontology enrichment analysis was conducted using the ToppGene tool. Then, the STRING online database was used for protein-protein interaction (PPI) network construction. Cytohubba and the MCODE plug-in were used to screen functional modules and hub genes. In total, 229 DEGs were identified by differential gene expression analysis in the TNBC group. Eight genes were screened out from the PPI network — FOXA1, ESR1, TFF1, GATA3, TFF3, AR, SLC39A6, COL9A1. In conclusion, this study indicates that the molecular subtype specific gene expression pattern provides useful information for targeted, biomarker-driven treatment options.

Identification of Altered Transcripts and Pathways in Triple Negative Breast Cancer

Breast Unit, Pauls Stradiņš Clinical University Hospital

Pauls Stradiņš Clinical University Hospital

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.

This work is licensed under the Creative Commons Attribution 4.0 International License.

Triple negative breast cancer (TNBC) is a breast cancer subtype characterised by lack of oestrogen receptor, progesterone receptor, and human epidermal growth...

Identification of Altered Transcripts and Pathways in Triple Negative Breast Cancer

Publié en ligne: 09 mars 2023

Pages: 33 - 40

Reçu: 15 déc. 2021

Accepté: 11 août 2022

DOI: https://doi.org/10.2478/prolas-2023-0004

Mots clés
TNBC, hub genes, expression, transcriptome, sequencing

© 2023 Elza Kuzņecova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Identification of Altered Transcripts and Pathways in Triple Negative Breast Cancer

Publié en ligne: 09 mars 2023

Pages: 33 - 40

Reçu: 15 déc. 2021

Accepté: 11 août 2022

DOI: https://doi.org/10.2478/prolas-2023-0004

Mots clésTNBC, hub genes, expression, transcriptome, sequencing

© 2023 Elza Kuzņecova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
TNBC, hub genes, expression, transcriptome, sequencing