Evidence map›Paper›PMID 35293897›Full record

ArticleCommunications biology2022

Risk subtyping and prognostic assessment of prostate cancer based on consensus genes.

Jialin Meng, Yu Guan, Bijun Wang, Lei Chen, Junyi Chen, Meng Zhang, Chaozhao Liang

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Jialin Meng *Department of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, 230022, Hefei, Anhui, People's Republic of China.ORCID 0000-0002-4622-833X
Yu Guan *Department of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, 230022, Hefei, Anhui, People's Republic of China.
Bijun WangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, 230022, Hefei, Anhui, People's Republic of China.
Lei ChenDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, 230022, Hefei, Anhui, People's Republic of China.
Junyi ChenDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, 230022, Hefei, Anhui, People's Republic of China.
Meng ZhangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, 230022, Hefei, Anhui, People's Republic of China. zhangmeng1930@126.com.ORCID 0000-0003-4935-4005
Chaozhao LiangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, 230022, Hefei, Anhui, People's Republic of China. liang_chaozhao@ahmu.edu.cn.ORCID 0000-0003-2317-1323
Anhui Medical University · CNAnhui University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the most frequent malignancy in male urogenital system around worldwide. We performed molecular subtyping and prognostic assessment based on consensus genes in patients with PCa. Five cohorts containing 1,046 PCa patients with RNA expression profiles and recorded clinical follow-up information were included. Univariate, multivariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression were used to select prognostic genes and establish the signature. Immunohistochemistry staining, cell proliferation, migration and invasion assays were used to assess the biological functions of key genes. Thirty-nine intersecting consensus prognostic genes from five independent cohorts were identified. Subsequently, an eleven-consensus-gene classifier was established. In addition, multivariate Cox regression analyses showed that the classifier served as an independent indicator of recurrence-free survival in three of the five cohorts. Combined receiver operating characteristic (ROC) analysis achieved synthesized effects by combining the classifier with clinicopathological features in four of five cohorts. SRD5A2 inhibits cell proliferation, while ITGA11 promotes cell migration and invasion, possibly through the PI3K/AKT signaling pathway. To conclude, we established and validated an eleven-consensus-gene classifier, which may add prognostic value to the currently available staging system.

Indexed as

Phosphatidylinositol 3-KinasesProstatic Neoplasms3-Oxo-5-alpha-Steroid 4-DehydrogenaseConsensusGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMembrane ProteinsPrognosis3-Oxo-5-alpha-Steroid 4-DehydrogenaseMembrane ProteinsPhosphatidylinositol 3-KinasesSRD5A2 protein, human

Identifiers

PMID35293897
PMCPMC8924191
OpenAlexW4221128165

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.