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Analysis of miR-497/195 cluster identifies new therapeutic targets in cervical cancer.
Karunakara, Shreyas Hulusemane; Eswaran, Sangavi; Mallya, Sandeep; Suresh, Padmanaban S; Chakrabarty, Sanjiban; Kabekkodu, Shama Prasada.
Afiliación
  • Karunakara SH; Department of Molecular Biology, Yuvaraja's College, University of Mysore, Mysuru, Karnataka, 570005, India.
  • Eswaran S; Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
  • Mallya S; Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
  • Suresh PS; Department of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
  • Chakrabarty S; School of Biotechnology, National Institute of Technology, Calicut, Kerala, 673601, India.
  • Kabekkodu SP; Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
BMC Res Notes ; 17(1): 217, 2024 Aug 02.
Article en En | MEDLINE | ID: mdl-39095857
ABSTRACT

OBJECTIVE:

miR-497/195, located at 17p13.1, is a highly conserved miRNA cluster whose abnormal expression is a key regulator of carcinogenesis. We performed a comprehensive analysis of the miR-497/195 cluster to determine its prognostic utility and role in cervical cancer (CC) using publicly available datasets.

RESULTS:

In silico analysis and validation revealed that this cluster is downregulated in CC. A total of 60 target genes of miR-497/195 cluster were identified as differentially expressed between normal and CC samples. ShinyGO, STRING, CytoHubba, Timer 2.0, HPA, and HCMBD were used for functional enrichment, PPIN network construction, hub gene identification, immune infiltration correlation, histopathological expression, and determination of the metastatic potential of miR-497/195 cluster and their target genes. PPIN analysis identified CCNE1, CCNE2, ANLN, RACGAP1, KIF23, CHEK1, CDC25A, E2F7, CDK1, and CEP55 as the top 10 hub genes (HGs). Furthermore, the upregulation of RECK, ATD5, and BCL2, downregulation of OSBPL3, RCAN3, and HIST1H3H effected overall survival of CC patients. We identified 6 targets (TFAP2A, CLSPN, RASEF, HIST1H3H, AKT3, and ITPR1) of miR-497/195 cluster to influence metastasis. In addition, 8 druggable genes and 38 potential drugs were also identified. Our study identified miR-497/195 cluster target genes and pathways that could be used for prognostic and therapeutic applications in CC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regulación Neoplásica de la Expresión Génica / Neoplasias del Cuello Uterino / MicroARNs Límite: Female / Humans Idioma: En Revista: BMC Res Notes Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regulación Neoplásica de la Expresión Génica / Neoplasias del Cuello Uterino / MicroARNs Límite: Female / Humans Idioma: En Revista: BMC Res Notes Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido