Evidence map›Paper›PMID 24879340›Full record

ArticleCell cycle (Georgetown, Tex.)2014

Identification of two poorly prognosed ovarian carcinoma subtypes associated with CHEK2 germ-line mutation and non-CHEK2 somatic mutation gene signatures.

Ghim Siong Ow, Anna V Ivshina, Gloria Fuentes, Vladimir A Kuznetsov

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  5. Genomic Breakpoints' Characterization of a LargeDiagnostics (Basel, Switzerland) · 2022
    Article
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  13. Bioinformatics and Drug Discovery.Current topics in medicinal chemistry · 2017
    Review
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  15. Article
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  18. Adverse Drug Events-based Tumor Stratification for Ovarian Cancer Patients Receiving Platinum Therapy.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015
    Article
  19. Hereditary ovarian cancer: not only BRCA 1 and 2 genes.BioMed research international · 2015
    Review
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 at 2 institutions in 3 countries.

Ghim Siong OwBioinformatics Institute; A*STAR; Singapore.
Anna V IvshinaBioinformatics Institute; A*STAR; Singapore.
Gloria FuentesBioinformatics Institute; A*STAR; Singapore; Center for Life Science Technologies (CLST); RIKEN; Saitama, Japan.
Vladimir A KuznetsovBioinformatics Institute; A*STAR; Singapore; Division of Software & Information Systems; School of Computer Engineering; Nanyang Technological University; Singapore; School for Integrative Science and Engineering; National University of Singapore; Singapore.
A*STAR Graduate Academy · SGNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian cancer (HG-SOC), a major histologic type of epithelial ovarian cancer (EOC), is a poorly-characterized, heterogeneous and lethal disease where somatic mutations of TP53 are common and inherited loss-of-function mutations in BRCA1/2 predispose to cancer in 9.5-13% of EOC patients. However, the overall burden of disease due to either inherited or sporadic mutations is not known. We performed bioinformatics analyses of mutational and clinical data of 334 HG-SOC tumor samples from The Cancer Genome Atlas to identify novel tumor-driving mutations, survival-significant patient subgroups and tumor subtypes potentially driven by either hereditary or sporadic factors. We identified a sub-cluster of high-frequency mutations in 22 patients and 58 genes associated with DNA damage repair, apoptosis and cell cycle. Mutations of CHEK2, observed with the highest intensity, were associated with poor therapy response and overall survival (OS) of these patients (P = 8.00e-05), possibly due to detrimental effect of mutations at the nuclear localization signal. A 21-gene mutational prognostic signature significantly stratifies patients into relatively low or high-risk subgroups with 5-y OS of 37% or 6%, respectively (P = 7.31e-08). Further analysis of these genes and high-risk subgroup revealed 2 distinct classes of tumors characterized by either germline mutations of genes such as CHEK2, RPS6KA2 and MLL4, or somatic mutations of other genes in the signature. Our results could provide improvement in prediction and clinical management of HG-SOC, facilitate our understanding of this complex disease, guide the design of targeted therapeutics and improve screening efforts to identify women at high-risk of hereditary ovarian cancers distinct from those associated with BRCA1/2 mutations.

Indexed as

Germ-Line MutationBiomarkers, TumorCarcinoma, Ovarian EpithelialCheckpoint Kinase 2Cluster AnalysisComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene FrequencyGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansKaplan-Meier EstimateNeoplasm GradingBiomarkers, TumorCheckpoint Kinase 2CHEK2 protein, humanbiomarkercancer driver mutationcancer sub-typeCHEK2chemotherapy resistancediagnosticsgene signaturehigh-grade serous ovarian carcinomaMLL4mutationspatient’s stratificationprognosisRPS6KA2survival analysis

Identifiers

PMID24879340
PMCPMC4111681
OpenAlexW2011186822

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.