Evidence map›Paper›PMID 36704352›Full record

ArticleFrontiers in genetics2022

Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer.

Hangbin Ma, Cheng Zhou, Jianchao Ge, Wandong Yu, Yinghao Zhou, Pengyu Wang, Xuehu Zhang, Jun Zhang, Guowei Shi

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. 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

9 authors.

Hangbin MaDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Cheng ZhouDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Jianchao GeDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Wandong YuDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Yinghao ZhouDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Pengyu WangDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Xuehu ZhangDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Jun ZhangDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Guowei ShiDepartment of Urology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical and molecular phenotypes of prostate cancer (PCa) exhibit substantial heterogeneity, ranging from indolent to metastatic disease. In this study, we aimed to identify PCa subtypes and construct a gene signature that can predict the recurrence-free survival (RFS) of PCa patients based on chromatin regulators genes (CRGs). Strikingly, we identified two heterogeneous subtypes with distinct clinical and molecular characteristics. Furthermore, by performing differential analysis between the two CRGs subtypes, we successfully constructed a gene signature to predict PCa prognosis. The signature, comprising four genes (MXD3, SSTR1, AMH and PPFIA2), was utilized to classify PCa patients into two risk groups; the high-risk group was characterized by poor prognosis and more aggressive clinical features. Moreover, we investigated the immune profile, mutation landscape and molecular pathways in each of the groups. Additionally, drug-susceptibility testing was performed to explore sensitive drugs for high-risk patients. Furthermore, we found that MXD3 downregulation suppressed the proliferation of PCa cell lines

Indexed as

chromatin regulatorsmolecular subtypesMXD3prognostic modelprostate cancer

Identifiers

PMID36704352
PMCPMC9871366

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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.