Evidence map›Paper›PMID 35117391›Full record

ArticleTranslational cancer research2020

Clinical significance of PI3 and HLA-DOB as potential prognostic predicators for ovarian cancer.

Yanrong Li, Haixia Li, Baojun Yang, Jing Wei, Cheng Zhen, Limin Feng

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. [The Role of Cuproptosis Related Key Genes in Ovarian Cancer and the Construction of a Prognostic Model].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
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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 3 institutions in 1 country.

Yanrong Li *Department of Obstetrics & Gynecology, Beijing TianTan Hospital, Capital Medical University, Beijing 100050, China.
Haixia Li *Department of Obstetrics & Gynecology, Beijing TianTan Hospital, Capital Medical University, Beijing 100050, China.
Baojun YangDepartment of Obstetrics & Gynecology, Beijing TianTan Hospital, Capital Medical University, Beijing 100050, China.
Jing WeiDepartment of Obstetrics & Gynecology, Beijing TianTan Hospital, Capital Medical University, Beijing 100050, China.
Cheng ZhenThe Fifth Medical Center of PLA General Hospital, Beijing 100039, China.
Limin FengDepartment of Obstetrics & Gynecology, Beijing TianTan Hospital, Capital Medical University, Beijing 100050, China.
Beijing Tian Tan Hospital · CNCapital Medical University · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outcomes of ovarian cancer patients are very poor, therefore it is necessary to find prognostic biomarkers and explore the potential underlying molecular mechanisms of ovarian cancer.

methodsIn this study, a gene expression microarray data set covering 562 ovarian serous cystadenocarcinomas and 12,042 genes was downloaded from The Cancer Genome Atlas (TCGA) database. For each candidate gene, samples were allocated into a "high group" or a "low group" according to the expression level. The overall survival (OS) rates were compared between the two groups. Then, a univariate analysis and a multivariate Cox proportional hazards test were carried out to examine the associations between genes and multiple clinicopathological parameters.

resultsAmong all candidate genes,

conclusionsOur data indicate that

Indexed as

HLA-DOBoutcomeOvarian cancerpeptidase inhibitor 3 (PI3)

Identifiers

PMID35117391
PMCPMC8798007
OpenAlexW2996549369

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.