Evidence map›Paper›PMID 26549805›Full record

ArticleOncotarget2015

CSIOVDB: a microarray gene expression database of epithelial ovarian cancer subtype.

Tuan Zea Tan, He Yang, Jieru Ye, Jeffrey Low, Mahesh Choolani, David Shao Peng Tan, Jean-Paul Thiery, Ruby Yun-Ju Huang

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. Cancers · 2023
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  20. A small-molecule inhibitor of TopBP1 exerts anti-MYC activity and synergy with PARP inhibitors.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

8 authors.

Tuan Zea TanCancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore 117599.
He YangCancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore 117599.
Jieru YeCancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore 117599.
Jeffrey LowDepartment of Obstetrics and Gynecology, National University Health System, Singapore 119228.
Mahesh ChoolaniDepartment of Obstetrics and Gynecology, National University Health System, Singapore 119228.
David Shao Peng TanCancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore 117599.
Jean-Paul ThieryCancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore 117599.
Ruby Yun-Ju HuangCancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore 117599.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Databases pertaining to various diseases provide valuable resources on particular genes of interest but lack the molecular subtype and epithelial-mesenchymal transition status. CSIOVDB is a transcriptomic microarray database of 3,431 human ovarian cancers, including carcinoma of the ovary, fallopian tube, and peritoneum, and metastasis to the ovary. The database also comprises stroma and ovarian surface epithelium from normal ovary tissue, as well as over 400 early-stage ovarian cancers. This unique database presents the molecular subtype and epithelial-mesenchymal transition status for each ovarian cancer sample, with major ovarian cancer histologies (clear cell, endometrioid, mucinous, low-grade serous, serous) represented. Clinico-pathological parameters available include tumor grade, surgical debulking status, clinical response and age. The database has 1,868 and 1,516 samples with information pertaining to overall and disease-free survival rates, respectively. The database also provides integration with the copy number, DNA methylation and mutation data from TCGA. CSIOVDB seeks to provide a resource for biomarker and therapeutic target exploration for ovarian cancer research.

Indexed as

Databases, GeneticCarcinoma, Ovarian EpithelialFemaleGene Expression Regulation, NeoplasticHumansNeoplasms, Glandular and EpithelialOligonucleotide Array Sequence AnalysisOvarian Neoplasmsdatabasemicroarray gene expressionmolecular subtypeovarian cancer

Identifiers

PMID26549805
PMCPMC4791271

What OpenQuestion holds

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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.