Evidence map›Paper›PMID 32923125›Full record

ArticleOncoimmunology2020

A novel gene signature to predict immune infiltration and outcome in patients with prostate cancer.

Ning Shao, Hong Tang, Yuanyuan Mi, Yao Zhu, Fangning Wan, Dingwei Ye

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 45 citations in OpenAlex.

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  20. Prostate Cancer Secretome and Membrane Proteome fromInternational journal of molecular sciences · 2022
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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 4 institutions in 1 country.

Ning ShaoDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hong TangDepartment of Pathology, The Affiliated WuXi No.2 People's Hospital of Nanjing Medical University, Wuxi, China.
Yuanyuan MiDepartment of Urology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Yao ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fangning WanDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CNWuxi Fourth People's Hospital · CNWuxi No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is one of the most common malignancies in male. We aim to establish a novel gene signature for immune infiltration and outcome (biochemical recurrence (BCR) and overall survival (OS)) of patients with prostate cancer (PCa) to augment Gleason patterns for evaluating prognosis and managing patients undergoing radical prostatectomy (RP). Combined with our microarray data and the Cancer Genome Atlas Project (TCGA) database (discovery set), we identified a six-gene signature. The Gene Expression Omnibus (GEO) database served as the test set. The databases of Fudan University Shanghai Cancer Center (FUSCC) and Third Affiliated Hospital of Nantong University (TAHNU) served as an external validation set. Immunohistochemistry was used to investigate the relationship between risk groups and the immune infiltrate. We identified a six-gene signature to predict immune cell infiltration and outcome of PCa patients. The AUC values used to predict early BCR in the discovery, test, FUSCC, and TAHNU sets were 0.73, 0.76, 0.72, and 0.81, respectively. Low-risk score patients in each dataset experienced significantly longer OS (

Indexed as

Neoplasm Recurrence, LocalProstatic NeoplasmsHumansMaleProstatectomybiochemical recurrenceGene signatureimmune infiltrationoverall survivalprostate cancer

Identifiers

PMID32923125
PMCPMC7458664
OpenAlexW3033963947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.