Evidence map›Paper›PMID 23666744›Full record

ArticleEMBO molecular medicine2013

Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer.

Tuan Zea Tan, Qing Hao Miow, Ruby Yun-Ju Huang, Meng Kang Wong, Jieru Ye, Jieying Amelia Lau, Meng Chu Wu, Luqman Hakim Bin Abdul Hadi, Richie Soong, Mahesh Choolani and 10 more

Abstract read
In one paragraph

Article in EMBO molecular medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 3 pooled it
–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

137 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. Patterns of Associations with Epidemiologic Factors by High-Grade Serous Ovarian Cancer Gene Expression Subtypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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77 more citing papers are in PubMed but not listed here.

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

20 authors.

Tuan Zea TanCancer Science Institute of Singapore, National University of Singapore, Singapore.
Qing Hao Miow
Ruby Yun-Ju Huang
Meng Kang Wong
Jieru Ye
Jieying Amelia Lau
Meng Chu Wu
Luqman Hakim Bin Abdul Hadi
Richie Soong
Mahesh Choolani
Ben Davidson
Jahn M Nesland
Ling-Zhi Wang
Noriomi Matsumura
Masaki Mandai
Ikuo Konishi
Boon-Cher Goh
Jeffrey T Chang
Jean Paul Thiery
Seiichi Mori

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is hallmarked by a high degree of heterogeneity. To address this heterogeneity, a classification scheme was developed based on gene expression patterns of 1538 tumours. Five, biologically distinct subgroups - Epi-A, Epi-B, Mes, Stem-A and Stem-B - exhibited significantly distinct clinicopathological characteristics, deregulated pathways and patient prognoses, and were validated using independent datasets. To identify subtype-specific molecular targets, ovarian cancer cell lines representing these molecular subtypes were screened against a genome-wide shRNA library. Focusing on the poor-prognosis Stem-A subtype, we found that two genes involved in tubulin processing, TUBGCP4 and NAT10, were essential for cell growth, an observation supported by a pathway analysis that also predicted involvement of microtubule-related processes. Furthermore, we observed that Stem-A cell lines were indeed more sensitive to inhibitors of tubulin polymerization, vincristine and vinorelbine, than the other subtypes. This subtyping offers new insights into the development of novel diagnostic and personalized treatment for EOC patients.

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, Ovarian EpithelialCell Line, TumorFemaleHumansMicrotubule-Associated ProteinsMicrotubulesNeoplasms, Glandular and EpithelialN-Terminal Acetyltransferase EN-Terminal AcetyltransferasesOvarian NeoplasmsOvaryPrognosisMicrotubule-Associated ProteinsNAT10 protein, humanN-Terminal Acetyltransferase EN-Terminal AcetyltransferasesTUBGCP4 protein, humancell line model for subtypefunctional genomic screenmolecular subtypeovarian cancertubulin

Identifiers

PMID23666744
PMCPMC3721473

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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.