Your browser doesn't support javascript.
loading
miR-145-5p as a predictive biomarker for breast cancer stemness by computational clinical investigation.
Rajarajan, Dheeran; Kaur, Bhavjot; Penta, Dhanamjai; Natesh, Jagadish; Meeran, Syed Musthapa.
Afiliación
  • Rajarajan D; Department of Biochemistry, CSIR-Central Food Technological Research Institute, Mysore, 570020, Karnataka, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India.
  • Kaur B; Department of Biochemistry, CSIR-Central Food Technological Research Institute, Mysore, 570020, Karnataka, India.
  • Penta D; Department of Biochemistry, CSIR-Central Food Technological Research Institute, Mysore, 570020, Karnataka, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India.
  • Natesh J; Department of Biochemistry, CSIR-Central Food Technological Research Institute, Mysore, 570020, Karnataka, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India.
  • Meeran SM; Department of Biochemistry, CSIR-Central Food Technological Research Institute, Mysore, 570020, Karnataka, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India. Electronic address: s.musthapa@cftri.res.in.
Comput Biol Med ; 135: 104601, 2021 08.
Article en En | MEDLINE | ID: mdl-34186326
BACKGROUND: Breast tumors enriched with breast cancer stem cells (BCSCs), play a crucial role in metastasis and tumor relapse. Hence, targeting BCSCs may lead to efficacious breast cancer therapy. BCSCs have a unique expression of stemness markers, including Nanog, POU5F1, SOX2, and CD44, which play a vital role in cancer stem cell properties. However, the regulation of microRNAs (miRNAs)-mediated cancer stem cell marker expressions is largely unclear. METHODS: MIENTURNET was used to predict miRNA-target interactions. miR-TV, UALCAN and GEPIA databases were used to analyze the expression of miR-145-5p and SOX2. Survival analysis was obtained by cBioportal, KM plotter and Breast Cancer Gene-Expression Miner. RNAComposer was used to perform miRNA-mRNA duplex prediction. In vitro mRNA and miRNA analysis was performed by qRT-PCR. RESULTS: It was observed that miR-145-5p was the common miRNA targeting stemness markers. miR-145-5p expression was found to be lower in breast cancer patients compared to healthy subjects. Based on survival analysis, low expression of miR-145-5p and high expression of SOX2 led to a poor overall survival rate in breast cancer patients. Pathway enrichment analysis indicated that SOX2 was highly enriched with transcription factors. Moreover, SOX2 expression level was also upregulated in axillary metastatic lymph nodules. Further, in vitro ectopic expression of miR-145-5p by its mimic downregulated the SOX2 expression compared to the control mimic. Overall, SOX2 was a direct target for miR-145-5p as per the binding and minimal-free energy. CONCLUSIONS: In this study, miR-145-5p targeting SOX2 was identified as a potential predictive biomarker for breast cancer stemness.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article País de afiliación: India