Evidence map›Paper›PMID 35563265›Full record

ArticleInternational journal of molecular sciences2022

Novel MicroRNA-Regulated Transcript Networks Are Associated with Chemotherapy Response in Ovarian Cancer.

Danai G Topouza, Jihoon Choi, Sean Nesdoly, Anastasiya Tarnouskaya, Christopher J B Nicol, Qing Ling Duan

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
0.5field-weighted citation impact, top 44% 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. Article
  3. 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

6 authors at 1 institution in 1 country.

Danai G TopouzaDepartment of Biomedical and Molecular Sciences, Queen's University, 18 Stuart St., Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-6897-9281
Jihoon ChoiDepartment of Biomedical and Molecular Sciences, Queen's University, 18 Stuart St., Kingston, ON K7L 3N6, Canada.
Sean NesdolySchool of Computing, Queen's University, 21-25 Union St., Kingston, ON K7L 2N8, Canada.ORCID 0000-0002-4277-259X
Anastasiya TarnouskayaSchool of Computing, Queen's University, 21-25 Union St., Kingston, ON K7L 2N8, Canada.
Christopher J B NicolDepartment of Biomedical and Molecular Sciences, Queen's University, 18 Stuart St., Kingston, ON K7L 3N6, Canada.
Qing Ling DuanDepartment of Biomedical and Molecular Sciences, Queen's University, 18 Stuart St., Kingston, ON K7L 3N6, Canada.ORCID 0000-0003-4467-7024
Queen's University · CA

Funding

CIHR N/ADepartment of Biomedical and Molecular Sciences, Queen's University N/AQueen's University N/AQueen's University National Scholar Award N/A
6 · The paper itself

Abstract

High-grade serous ovarian cancer (HGSOC) is a highly lethal gynecologic cancer, in part due to resistance to platinum-based chemotherapy reported among 20% of patients. This study aims to generate novel hypotheses of the biological mechanisms underlying chemotherapy resistance, which remain poorly understood. Differential expression analyses of mRNA- and microRNA-sequencing data from HGSOC patients of The Cancer Genome Atlas identified 21 microRNAs associated with angiogenesis and 196 mRNAs enriched for adaptive immunity and translation. Coexpression network analysis identified three microRNA networks associated with chemotherapy response enriched for lipoprotein transport and oncogenic pathways, as well as two mRNA networks enriched for ubiquitination and lipid metabolism. These network modules were replicated in two independent ovarian cancer cohorts. Moreover, integrative analyses of the mRNA/microRNA sequencing and single-nucleotide polymorphisms (SNPs) revealed potential regulation of significant mRNA transcripts by microRNAs and SNPs (expression quantitative trait loci). Thus, we report novel transcriptional networks and biological pathways associated with resistance to platinum-based chemotherapy in HGSOC patients. These results expand our understanding of the effector networks and regulators of chemotherapy response, which will help to improve the management of ovarian cancer.

Indexed as

Gene Regulatory NetworksMicroRNAsOvarian NeoplasmsCarcinoma, Ovarian EpithelialDrug Resistance, NeoplasmFemaleHumansPlatinumRNA, MessengerMicroRNAsPlatinumRNA, Messengercoexpression network analysisdifferential expression analysisexpression quantitative trait locihigh-grade serous ovarian cancermicroRNAsplatinum-based chemotherapy resistanceThe Cancer Genome Atlas

Identifiers

PMID35563265
PMCPMC9101651
OpenAlexW4225004747

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.