Evidence map›Paper›PMID 34484286›Full record

ArticleFrontiers in genetics2021

Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer.

Shengdong Ge, Xiaoliang Hua, Juan Chen, Haibing Xiao, Li Zhang, Jun Zhou, Chaozhao Liang, Sheng Tai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Identification of a Novel Risk Model: A Five-Gene Prognostic Signature for Pancreatic Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  10. Article
  11. 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

8 authors at 3 institutions in 1 country.

Shengdong GeDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaoliang HuaDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Juan ChenThe Ministry of Education Key Laboratory of Clinical Diagnostics, School of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Haibing XiaoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Li ZhangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jun ZhouDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Chaozhao LiangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Sheng TaiDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in prostate cancer (PCa) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in PCa and construct a prognostic signature to improve treatment decision making and clinical outcomes. Five prognosis-related costimulatory molecule genes (RELT, TNFRSF25, EDA2R, TNFSF18, and TNFSF10) were identified, and a prognostic signature was constructed based on these five genes. This signature was an independent prognostic factor according to multivariate Cox regression analysis; it could stratify PCa patients into two subgroups with different prognoses and was highly associated with clinical features. The prognostic significance of the signature was well validated in four different independent external datasets. Moreover, patients identified as high risk based on our prognostic signature exhibited a high mutation frequency, a high level of immune cell infiltration and an immunosuppressive microenvironment. Therefore, our signature could provide clinicians with prognosis predictions and help guide treatment for PCa patients.

Indexed as

bioinformaticsbiomarkercostimulatory moleculesprognostic signatureprostate cancer

Identifiers

PMID34484286
PMCPMC8415313
OpenAlexW3196279836

What OpenQuestion 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 OpenQuestion graph.