Evidence map›Paper›PMID 28855498›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

TRAF2 is a Valuable Prognostic Biomarker in Patients with Prostate Cancer.

Bingbing Wei, Jiabei Liang, Jimeng Hu, Yuanyuan Mi, Jun Ruan, Jian Zhang, Zhirong Wang, Qiang Hu, Haowen Jiang, Qiang Ding

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  4. Associations ofCancers · 2024
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  8. Lemur Tyrosine Kinases and Prostate Cancer: A Literature Review.International journal of molecular sciences · 2021
    Review
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  13. Transcriptome-wide miRNA identification ofPlant signaling & behavior · 2020
    Article
  14. Article
  15. Article
  16. Mitochondrial functions and melatonin: a tour of the reproductive cancers.Cellular and molecular life sciences : CMLS · 2019
    Review
  17. Article
  18. 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

10 authors at 4 institutions in 1 country.

Bingbing WeiDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Jiabei LiangDepartment of Pathology, Affiliated Wuxi People's Hospital, Nanjing Medical University, Wuxi, Jiangsu, China (mainland).
Jimeng HuDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Yuanyuan MiDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Jun RuanDepartment of Urology, Affiliated Wuxi People's Hospital, Nanjing Medical University, Wuxi, Jiangsu, China (mainland).
Jian ZhangDepartment of Urology, Affiliated Wuxi People's Hospital, Nanjing Medical University, Wuxi, Jiangsu, China (mainland).
Zhirong WangDepartment of Urology, Affiliated Wuxi People's Hospital, Nanjing Medical University, Wuxi, Jiangsu, China (mainland).
Qiang HuDepartment of Urology, Affiliated Wuxi People's Hospital, Nanjing Medical University, Wuxi, Jiangsu, China (mainland).
Haowen JiangDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Qiang DingDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Huashan Hospital · CNNanjing Medical University · CNFudan University · CNWuxi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND TRAF2 exerts important functions in regulating the development and progression of cancer. The aim of this study is to investigate whether TRAF2 is a valuable prognostic biomarker and to determine if it regulates TRAIL-induced apoptosis in prostate cancer. MATERIAL AND METHODS Microarray gene expression data from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to determine TRAF2 expression in prostate cancer. TRAF2 expression in prostate cancer was further investigated by immunohistochemistry assay. Kaplan-Meier curves and log-rank test were used to assess the recurrence-free rate. Cox regression was used to analyze prognostic factors. Effects of TRAF2 on regulating TRAIL-induced apoptosis in DU-145 cells were further investigated. RESULTS We found that TRAF2 was significantly upregulated in prostate cancer compared with normal prostate samples (P<0.001). In addition, compared with primary prostate cancer, TRAF2 was upregulated in metastatic prostate cancer (P=0.006). Furthermore, our results showed that high expression of TRAF2 was significantly associated with tumor stage of prostate cancer (P=0.035). TRAF2 high expression was associated with poorer recurrence-free survival in prostate cancer patients (P=0.013). TRAF2 was found to be a valuable independent prognostic factor for predicting recurrence-free survival (P=0.026). In addition, the present results indicate that TRAF2 affects TRAIL-induced apoptosis in prostate cancer DU-145 cells via regulating cleaved Caspase-8 and c-Flip expression. CONCLUSIONS TRAF2 could be a novel prognostic biomarker for predicting recurrence-free survival in patients with prostate cancer, which might be associated with the effects of TRAF2 in regulating TRAIL-induced apoptosis in prostate cancer cells via c-Flip/Caspase-8 signalling.

Indexed as

AgedApoptosisBiomarkers, TumorCell Line, TumorDatabases, Nucleic AcidHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingOligonucleotide Array Sequence AnalysisPrognosisProstatic NeoplasmsTNF Receptor-Associated Factor 2Up-RegulationBiomarkers, TumorTNF Receptor-Associated Factor 2

Identifiers

PMID28855498
PMCPMC5590516
OpenAlexW2751273473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.