Evidence map›Paper›PMID 38112859›Full record

ArticleDiscover oncology2023

Systematic review and integrated analysis of prognostic gene signatures for prostate cancer patients.

Yang An, Wenyuan Lu, Shijia Li, Xiaoyan Lu, Yuanyuan Zhang, Dongcheng Han, Dingyuan Su, Jiaxin Jia, Jiaxin Yuan, Binbin Zhao and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

15 authors.

Yang AnSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China. anyang@henu.edu.cn.
Wenyuan LuSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Shijia LiSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Xiaoyan LuSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Yuanyuan ZhangSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Dongcheng HanSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Dingyuan SuSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Jiaxin JiaSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Jiaxin YuanSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Binbin ZhaoSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Mengjie TuSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Xinyu LiSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Xiaoqing WangSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
Na FangSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China. fangna@vip.henu.edu.cn.
Shaoping JiSchool of Basic Medical Sciences, Henan University, Kaifeng, 475004, China. shaopingji@henu.edu.cn.

Funding

Innovation Project for College Students of Henan University No.202310475091Innovation Project for College Students of Henan University No. 20237003002Innovation Project for College Students of Henan University No.20237003003the Natural Science Foundation of Henan Province No.232300421301the Program for Science and Technology Development in Henan Province No.212102310616the Program for Science and Technology Development in Kaifeng City No.2203009
6 · The paper itself

Abstract

Prostate cancer (PC) is one of the most common cancers in men and becoming the second leading cause of cancer fatalities. At present, the lack of effective strategies for prognosis of PC patients is still a problem to be solved. Therefore, it is significant to identify potential gene signatures for PC patients' prognosis. Here, we summarized 71 different prognostic gene signatures for PC and concluded 3 strategies for signature construction after extensive investigation. In addition, 14 genes frequently appeared in 71 different gene signatures, which enriched in mitotic and cell cycle. This review provides extensive understanding and integrated analysis of current prognostic signatures of PC, which may help researchers to construct gene signatures of PC and guide future clinical treatment.

Indexed as

BiomarkerGene signaturePrognosisProstate cancerSurvival

Identifiers

PMID38112859
PMCPMC10730790

What OpenQuestion holds

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LicenceCC BY
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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.