Evidence map›Paper›PMID 36939777›Full record

ArticlePhenomics (Cham, Switzerland)2022

Large-Scale Proteomics Data Reveal Integrated Prognosis-Related Protein Signatures and Role of SMAD4 and RAD50 in Prognosis and Immune Infiltrations of Prostate Cancer Microenvironment.

Aihetaimujiang Anwaier, Shu-Xuan Zhu, Xi Tian, Wen-Hao Xu, Yue Wang, Maierdan Palihati, Wei-Yue Wang, Guo-Hai Shi, Yuan-Yuan Qu, Hai-Liang Zhang and 1 more

Abstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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

11 authors.

Aihetaimujiang Anwaier *Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.
Shu-Xuan Zhu *Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016 People's Republic of China.
Xi Tian *Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.
Wen-Hao Xu *Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.
Yue WangDepartment of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.
Maierdan PalihatiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 20032 People's Republic of China.
Wei-Yue WangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 20032 People's Republic of China.
Guo-Hai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.
Yuan-Yuan QuDepartment of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.
Hai-Liang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.
Ding-Wei YeDepartment of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032 People's Republic of China.ORCID 0000-0002-6761-5195

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As prostate cancer (PCa) is one of the most commonly diagnosed cancer worldwide, identifying potential prognostic biomarkers is crucial. In this study, the survival information, gene expression, and protein expression data of 344 PCa cases were collected from the Cancer Proteome Atlas (TCPA) and the Cancer Genome Atlas (TCGA) to investigate the potential prognostic biomarkers. The integrated prognosis-related proteins (IPRPs) model was constructed based on the risk score of each patients using machine-learning algorithm. IPRPs model suggested that Elevated Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-022-00070-1.

Indexed as

Double-strand break repair protein RAD50PrognosisProstate cancerProteomicsSMAD family member 4

Identifiers

PMID36939777
PMCPMC9712904

What OpenQuestion holds

Textmetadata
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.