Evidence map›Paper›PMID 35300137›Full record

ArticleInternational journal of general medicine2022

An Oxidative Stress-Related Genes Signature for Predicting Survival in Bladder Cancer: Based on TCGA Database and Bioinformatics.

Min Zhang, Gang Du, Zhengtian Li, Dehui Li, Weichao Li, Hening Li, Xingxin Gao, Zhanhong Tang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. 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
2.6field-weighted citation impact, top 9% 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, 11 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Min Zhang *Department of Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Gang Du *Department of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Zhengtian LiDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Dehui LiDepartment of Burns and Plastic, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Weichao LiDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.ORCID 0000-0003-1355-0434
Hening LiGuangxi Medical University, Nanning, 530021, People's Republic of China.
Xingxin GaoDepartment of Burns and Plastic, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Zhanhong TangDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oxidative stress (OS) responses have been linked to oncogenesis and tumor progression and have recently been regarded as a potential strategy for tumor therapy. However, OS-related therapeutic targets have not been identified to date in the bladder cancer (BC). Methods: The mRNA expression and clinical data of BC were downloaded from the public database. Prognostic risk score signature was constructed using LASSO Cox regression analysis. External validation was performed in GSE15307 cohort. ESTIMATE, CIBERSORT, and ssGSEA algorithm were used to analyze immune cell infiltration and immune microenvironment. Next, functional enrichment analysis was performed to elucidate the mechanism underlying the signature. Additionally, we performed a nomogram to forecast the survival rate of individual BC patients. Results: An OS-related genes (OSRGs) signature was constructed. Overall survival was lower in the high-risk group than in the low-risk group, according to survival analyses. The area under the curve (AUC) of ROC curves further validated the prognostic signature's strong prediction performance in these two cohorts. The risk score was verified as an independent risk factor for BC by independent prognostic analysis. Moreover, as compared to TNM stage alone, a nomogram that integrated the risk score with TNM stage showed a much superior predictive value. Immune infiltration and tumor microenvironment studies indicated that immune cells and functions may play a significant role in carcinogenesis and development. The levels of expression of prognostic genes were shown to be substantially linked with drug sensitivity. Conclusion: We developed a novel OSRGs signature for predicting overall survival and impacting the immune status in patients with BC. New nomogram can help clinicians predict the survival rate of BC patients. These findings shed new light on the potential usage of OSRGs signature in BC patients.

Indexed as

bladder cancerdrug sensitivityimmune cell infiltrationoxidative stressprognosisrisk signature

Identifiers

PMID35300137
PMCPMC8922338
OpenAlexW4221089391

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Registered trials

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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.