Evidence map›Paper›PMID 39095857›Full record

ArticleBMC research notes2024

Analysis of miR-497/195 cluster identifies new therapeutic targets in cervical cancer.

Shreyas Hulusemane Karunakara, Sangavi Eswaran, Sandeep Mallya, Padmanaban S Suresh, Sanjiban Chakrabarty, Shama Prasada Kabekkodu

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shreyas Hulusemane Karunakara *Department of Molecular Biology, Yuvaraja's College, University of Mysore, Mysuru, Karnataka, 570005, India.
Sangavi Eswaran *Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Sandeep MallyaDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Padmanaban S SureshSchool of Biotechnology, National Institute of Technology, Calicut, Kerala, 673601, India.
Sanjiban ChakrabartyDepartment of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Shama Prasada KabekkoduDepartment of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. spbhat81@gmail.com.ORCID http://orcid.org/0000-0002-4158-3893

Funding

Department of Science and Technology, Ministry of Science and Technology, India MTR/2021/000182Scheme for Promotion of Academic and Research Collaboration SPARC/2019-2020/P2297/SL
6 · The paper itself

Abstract

objectivemiR-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.

resultsIn 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.

Indexed as

Gene Expression Regulation, NeoplasticMicroRNAsUterine Cervical NeoplasmsDown-RegulationFemaleGene Regulatory NetworksHumansMultigene FamilyPrognosisMicroRNAsMIRN195 microRNA, humanMIRN497 microRNA, humanBioinformaticsCervical carcinomaHub genesmiR-497/195PrognosisTCGA-CESC

Identifiers

PMID39095857
PMCPMC11297691

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.