Evidence map›Paper›PMID 34721758›Full record

ArticleOxidative medicine and cellular longevity2021

Using Genomic and Transcriptome Analyses to Identify the Role of the Oxidative Stress Pathway in Renal Clear Cell Carcinoma and Its Potential Therapeutic Significance.

Xiangyu Che, Xiaochen Qi, Yingkun Xu, Qifei Wang, Guangzhen Wu

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 9 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

5 authors at 2 institutions in 1 country.

Xiangyu Che *Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID https://orcid.org/0000-0003-4646-1390
Xiaochen Qi *Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Yingkun Xu *Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China.ORCID https://orcid.org/0000-0002-0100-9117
Qifei WangDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID https://orcid.org/0000-0002-9365-0373
Guangzhen WuDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID https://orcid.org/0000-0002-2300-8465
Dalian Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress (OS) refers to endogenous and/or exogenous stimulation when the balance between oxidation and antioxidants in the body is disrupted, resulting in excessive production of free radicals. Excessive free radicals exert a series of negative effects on the body, which can result in the oxidation of and infliction of damage on biological molecules and further cause cell death and tissue damage, which are related to many pathological processes. Pathways related to OS have always been the focus of medical research. Several studies are being conducted to develop strategies to treat cancer by exploring the OS pathways. Therefore, this study is aimed at determining the correlation between the OS pathway and kidney renal clear cell carcinoma (KIRC) through bioinformatics analysis, at proving the effect of common anticancer drugs on the OS pathway, and at constructing a prognosis model of patients with KIRC based on several genes with the strongest correlation between the OS pathway and KIRC. We first collected and analyzed gene expression and clinical information of related patients through TCGA database. Then, we divided the samples into three clusters according to their gene expression levels obtained through cluster analysis. Using these three clusters, we performed GDSC drug analysis and GSEA analysis and examined the correlation among the OS pathway, histone modification, and immune cell infiltration. We also analyzed the response of anti-PD-1 and anti-CTLA-4 to the OS pathway. Thereafter, we used LASSO regression to select the most suitable nine genes, combined with the clinicopathological characteristics to establish the prognosis model of patients with KIRC, and verified the scientific precision of the model. Finally, tumor mutational burden was calculated to verify whether patients would benefit from immunotherapy. The results of this study may provide a reference for the establishment of treatment strategies for patients with KIRC.

Indexed as

Gene Expression ProfilingGenomicsOxidative StressTranscriptomeAntineoplastic Agents, ImmunologicalBiomarkers, TumorCarcinoma, Renal CellClinical Decision-MakingDatabases, GeneticGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKidney NeoplasmsMutationPrecision MedicinePredictive Value of TestsAntineoplastic Agents, ImmunologicalBiomarkers, Tumor

Identifiers

PMID34721758
PMCPMC8550864
OpenAlexW3205423723

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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.