Evidence map›Paper›PMID 33663405›Full record

ArticleBMC cancer2021

Integrated bioinformatic analysis identifies UBE2Q1 as a potential prognostic marker for high grade serous ovarian cancer.

Rachel Topno, Ibha Singh, Manoj Kumar, Pallavi Agarwal

Abstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Molecular Management of High-Grade Serous Ovarian Carcinoma.International journal of molecular sciences · 2022
    Review
  9. Ubiquitin Proteasome Gene Signatures in Ependymoma Molecular Subtypes.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Rachel Topno *Amity Food and Agriculture Foundation, Amity University Uttar Pradesh, Sector 125, Noida, 201313, India.
Ibha Singh *Amity Institute of Molecular Medicine and Stem Cell Research, Amity University Uttar Pradesh, Sector 125, Noida, 201313, India.
Manoj KumarAmity Food and Agriculture Foundation, Amity University Uttar Pradesh, Sector 125, Noida, 201313, India. mkumar18@amity.edu.
Pallavi AgarwalAmity Institute of Molecular Medicine and Stem Cell Research, Amity University Uttar Pradesh, Sector 125, Noida, 201313, India. pagarwal6@amity.edu.ORCID http://orcid.org/0000-0003-3139-5589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh grade serous ovarian cancer (HGSOC) accounts for nearly 60% of total cases of epithelial ovarian cancer. It is the most aggressive subtype, which shows poor prognosis and low patient survival. For better management of HGSOC patients, new prognostic biomarkers are required to facilitate improved treatment strategies and ensure suitable healthcare decisions.

methodsWe performed genome wide expression analysis of HGSOC patient samples to identify differentially expressed genes (DEGs) using R based Limma package, Clust and other statistical tools. The identified DEGs were subjected to weighted gene co-expression network analysis (WGCNA) to identify co-expression patterns of relevant genes. Module trait and gene ontology analyses were performed to establish important gene co-expression networks and their biological functions. Overlapping the most relevant DEG cluster 4 with prominent WGCNA cyan module identified strongest correlation of UBE2Q1 with ovarian cancer and its prognostic significance on survival probability of ovarian cancer patients was investigated. The predictive value of UBE2Q1 as a potential biomarker was analysed by correlating its expression with 12-months relapse free survival of patients in response to platin/taxane, the standard first-line chemotherapy for ovarian cancer, and analysing area under the ROC curve.

resultsAn integrated gene expression analysis and WGCNA, identified UBE2Q1 as a potential prognostic marker associated with poor relapse-free survival and response outcome to platin/taxane treatment of patients with high grade serous ovarian cancer.

conclusionsOur study identifies a potential UBE2Q1 - B4GALT3 functional axis in ovarian cancer, where only the E2 conjugating enzyme showed a poor prognostic impact on the disease.

Indexed as

Breast NeoplasmsComputational BiologyCystadenocarcinoma, SerousFemaleGalactosyltransferasesGene OntologyGene Regulatory NetworksHumansOvarian NeoplasmsPrognosisUbiquitin-Conjugating EnzymesB4GALT3 protein, humanGalactosyltransferasesUBE2Q1 protein, humanUbiquitin-Conjugating EnzymesB4GALT3Breast CancerHigh grade serous ovarian cancerUBE2Q1WGCNA

Identifiers

PMID33663405
PMCPMC7934452

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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.