Evidence map›Paper›PMID 38627856›Full record

ArticleJournal of ovarian research2024

Comprehensive DNA methylation profiling by MeDIP-NGS identifies potential genes and pathways for epithelial ovarian cancer.

Priyanka Gautam, Sameer Gupta, Manisha Sachan

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Clinical Medicine Insights. Oncology · 2025
    Article
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

3 authors at 2 institutions in 1 country.

Priyanka GautamDepartment of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, 211004, India.
Sameer GuptaDepartment of Surgical Oncology, King George Medical University, Lucknow, India.
Manisha SachanDepartment of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, 211004, India. manishas@mnnit.ac.in.
Motilal Nehru National Institute of Technology · INKing George's Medical University · IN

Funding

Indian Council of Medical Research 5/13/58/2015/NCD-III
6 · The paper itself

Abstract

Ovarian cancer, among all gynecologic malignancies, exhibits the highest incidence and mortality rate, primarily because it is often presents with non-specific or no symptoms during its early stages. For the advancement of Ovarian Cancer Diagnosis, it is crucial to identify the potential molecular signatures that could significantly differentiate between healthy and ovarian cancerous tissues and can be used further as a diagnostic biomarker for detecting ovarian cancer. In this study, we investigated the genome-wide methylation patterns in ovarian cancer patients using Methylated DNA Immunoprecipitation (MeDIP-Seq) followed by NGS. Identified differentially methylated regions (DMRs) were further validated by targeted bisulfite sequencing for CpG site-specific methylation profiles. Furthermore, expression validation of six genes by Quantitative Reverse Transcriptase-PCR was also performed. Out of total 120 differentially methylated genes (DMGs), 68 genes were hypermethylated, and 52 were hypomethylated in their promoter region. After analysis, we identified the top 6 hub genes, namely POLR3B, PLXND1, GIGYF2, STK4, BMP2 and CRKL. Interestingly we observed Non-CpG site methylation in the case of POLR3B and CRKL which was statistically significant in discriminating ovarian cancer samples from normal controls. The most significant pathways identified were focal adhesion, the MAPK signaling pathway, and the Ras signaling pathway. Expression analysis of hypermethylated genes was correlated with the downregulation of the genes. POLR3B and GIGYF2 turned out to be the novel genes associated with the carcinogenesis of EOC. Our study demonstrated that methylation profiling through MeDIP-sequencing has effectively identified six potential hub genes and pathways that might exacerbate our understanding of underlying molecular mechanisms of ovarian carcinogenesis.

Indexed as

DNA MethylationOvarian NeoplasmsCarcinogenesisCarcinoma, Ovarian EpithelialCpG IslandsFemaleHippo KinasesHumansIntracellular Signaling Peptides and ProteinsProtein Serine-Threonine KinasesRNA Polymerase IIIHippo KinasesIntracellular Signaling Peptides and ProteinsPOLR3B protein, humanProtein Serine-Threonine KinasesRNA Polymerase IIISTK4 protein, humanBioinformatics analysisBiomarkerDifferentially methylated regions (DMRs)DNA methylationMeDIP-seqOvarian cancerQRT-PCR

Identifiers

PMID38627856
PMCPMC11022481
OpenAlexW4394855404

What OpenQuestion holds

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Registered trials

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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.