Evidence map›Paper›PMID 32737333›Full record

ArticleScientific reports2020

A cluster of metabolism-related genes predict prognosis and progression of clear cell renal cell carcinoma.

Mei Liu, Qiufeng Pan, Ruihai Xiao, Yi Yu, Wenbao Lu, Longwang Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 42 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

6 authors at 4 institutions in 1 country.

Mei Liu *Department of Anesthesiology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Qiufeng Pan *Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Ruihai Xiao *Department of Urology, Affiliated Hospital of Jiangxi Academy of Medical Sciences of Nanchang University, Nanchang, China.
Yi YuDepartment of Urology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Wenbao LuDepartment of Urology, Jiujiang University Affiliated Hospital, Jiujiang, China.
Longwang WangDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China. 252423414@qq.com.
Nanchang University · CNFirst Affiliated Hospital of Nanchang University · CNJiangxi Provincial Academy of Medical Sciences · CNJiujiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) has long been considered as a metabolic disease characterized by metabolic reprogramming due to the abnormal accumulation of lipid droplets in the cytoplasm. However, the prognostic value of metabolism-related genes in ccRCC remains unclear. In our study, we investigated the associations between metabolism-related gene profile and prognosis of ccRCC patients in the Cancer Genome Atlas (TCGA) database. Importantly, we first constructed a metabolism-related prognostic model based on ten genes (ALDH6A1, FBP1, HAO2, TYMP, PSAT1, IL4I1, P4HA3, HK3, CPT1B, and CYP26A1) using Lasso cox regression analysis. The Kaplan-Meier analysis revealed that our model efficiently predicts prognosis in TCGA_KIRC Cohort and the clinical proteomic tumor analysis consortium (CPTAC_ccRCC) Cohort. Using time-dependent ROC analysis, we showed the model has optimal performance in predicting long-term survival. Besides, the multivariate Cox regression analysis demonstrated our model is an independent prognostic factor. The risk score calculated for each patient was significantly associated with various clinicopathological parameters. Notably, the gene set enrichment analysis indicated that fatty acid metabolism was enriched considerably in low-risk patients. In contrast, the high-risk patients were more associated with non-metabolic pathways. In summary, our study provides novel insight into metabolism-related genes' roles in ccRCC.

Indexed as

Biomarkers, TumorAdultAgedCarcinoma, Renal CellComputational BiologyDisease ProgressionEnergy MetabolismFemaleGene Expression ProfilingHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedMolecular Sequence AnnotationNeoplasm GradingBiomarkers, Tumor

Identifiers

PMID32737333
PMCPMC7395775
OpenAlexW3046788849

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.