Evidence map›Paper›PMID 35143037›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2022

A novel immune-related RNA-binding proteins signature to predict survival and therapeutic responses in prostate cancer.

Zicheng Wang, Yifei Zhang, Changqin Jiang, Binbin Gong

Open access · bronzeAbstract read
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 99% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 1 institution in 1 country.

Zicheng WangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China. wangzicheng310@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-1291-2168
Yifei ZhangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Changqin JiangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Binbin GongDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aims to identify immune-related RBPs signature to predict prognosis and therapy response in prostate cancer.

methodsDifferentially expressed RBPs were compared and visualized using R packages. Immune-related RBPs were selected by Pearson correlation analysis. The prognostic immune-related RBPs were identified using the Kaplan-Meier method and LASSO regression. A multivariable Cox regression model was used to construct immune-related RBPs signature.

resultsWe constructed a prognostic predictive risk model of prostate cancer containing ten immune-related RBP genes. We found that high-risk prostate cancer patients presented poorer prognosis, higher tumor immune cell infiltration, higher rates of genomic alterations, and were more sensitive to targeted and immunotherapy than the low-risk group.

conclusionsThe immune-related RBPs' signature is an independent prognostic marker that could help screen patients with advanced prostate cancer who are better suited for targeted and immunotherapy.

Indexed as

Prostatic NeoplasmsHumansImmunotherapyMalePrognosisProportional Hazards ModelsRNA-Binding ProteinsRNA-Binding ProteinsPrognosisProstate cancerRNA-binding proteinsSurvivalTherapy response

Identifiers

PMID35143037
PMCPMC8830953
OpenAlexW4211092849

What OpenQuestion holds

Textmetadata
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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.