Evidence map›Paper›PMID 31761620›Full record

ArticleEBioMedicine2019

Analysis of gene expression signatures identifies prognostic and functionally distinct ovarian clear cell carcinoma subtypes.

Tuan Zea Tan, Jieru Ye, Chung Vin Yee, Diana Lim, Natalie Yan Li Ngoi, David Shao Peng Tan, Ruby Yun-Ju Huang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
9.6field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 81 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Tuan Zea TanCenter for Translational Medicine, Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore.
Jieru YeSchool of Medicine, College of Medicine, National Taiwan University, No. 1 Ren Ai Road Sec. 1, Taipei 100, Taiwan.
Chung Vin YeeCenter for Translational Medicine, Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore.
Diana LimDepartment of Pathology, National University Health System, 1E Kent Ridge Road Singapore 119228, Singapore.
Natalie Yan Li NgoiDepartment of Haematology-Oncology, National University Cancer Institute Singapore, Level 7 NUHS Tower Block, 1E Lower Kent Ridge Road, Singapore 119228, Singapore.
David Shao Peng TanCenter for Translational Medicine, Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore; Department of Haematology-Oncology, National University Cancer Institute Singapore, Level 7 NUHS Tower Block, 1E Lower Kent Ridge Road, Singapore 119228, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore. 1E Kent Ridge Road, NUHS Tower Block, Level 10, Singapore 119228, Singapore.
Ruby Yun-Ju HuangCenter for Translational Medicine, Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore; School of Medicine, College of Medicine, National Taiwan University, No. 1 Ren Ai Road Sec. 1, Taipei 100, Taiwan. Electronic address: rubyhuang@ntu.edu.tw.
National University of Singapore · SGNational Taiwan University · TWNational University Cancer Institute, Singapore · SGNational University Health System · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian clear cell carcinoma (OCCC) is a histological subtype of epithelial ovarian cancer (EOC) with distinct pathological, biological, and molecular features. OCCCs are more resistant to conventional treatment regimen of EOC and have the worst stage-adjusted prognosis amongst EOC subtypes. As the OCCC incidence rate in Asian populations has significantly increased in recent decades, it is critical to elucidate its molecular features that could lead to OCCC-tailored therapeutic strategies.

methodsGene expression profiles of 222 OCCC were analyzed by hierarchical clustering and statistical analyses.

findingsWe identified two OCCC gene expression subtypes: EpiCC-epithelial-like, which is associated with early-stage disease, with a relatively higher rate of gene mutations in the SWI/SNF complex; and MesCC-mesenchymal-like, associated with late-stage and higher enrichment of immune-related pathway activity. Genetic, copy number and transcriptomic analyses showed that both EpiCC and MesCC carried OCCC-associated aberrations. The EpiCC/MesCC classification was reproducible in validation cohorts and OCCC cell lines. MesCC tumors had a poorer progression-free survival (PFS) than EpiCC tumors (HR: 3·0, p = 0·0006). Functional assays in cell lines showed that the MesCC subtype was more proliferative and more anoikis-resistant than the EpiCC. By applying the EpiCC/MesCC classification to the TCGA renal clear cell carcinoma cohort, our results indicated interoperability of the subtyping scheme, and revealed preferential drug response of MesCC to bevacizumab.

interpretationThe EpiCC/MesCC classification shows promise for prognostic and therapeutic stratification in OCCC patients and warrants further investigation in the context of OCCC gene expression subtype-tailored treatment strategies.

Indexed as

Biomarkers, TumorTranscriptomeAdenocarcinoma, Clear CellCell Line, TumorComputational BiologyEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingHumansImmunohistochemistryKaplan-Meier EstimateMutationOvarian NeoplasmsPrognosisProportional Hazards ModelsReproducibility of ResultsBiomarkers, TumorClear cellMicroarray gene expressionMolecular subtypeOvarian cancer

Identifiers

PMID31761620
PMCPMC6921362
OpenAlexW2991381602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.