Exploration of the cancer genome atlas database reveals genes of interest related with cancer cell stemness indices in clear cell renal cell carcinoma.

Siwei Xing, Xiaohao Ruan, Chuanjie Zhang, Danfeng Xu, Lu Chen

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Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

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5 authors at 1 institution in 1 country.

Siwei XingDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Xiaohao RuanDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Chuanjie ZhangDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Danfeng XuDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Lu ChenDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Shanghai Jiao Tong University · CN

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6 · The paper itself

Abstract

Heterogeneity of kidney cancer poses great challenges in clinical management. Practicians are still in need of an effective way to identify high-risk patients. Here we browsed big data from The Cancer Genome Atlas database with reference to cancer cell stemness and identified genes of interest in clear cell renal cell carcinoma. We further analyzed these genes to uncover their role in cancer promotion and progression and presented an interaction network. The results highlighted the NOTCH signaling pathway and functions related with epithelial cell migration. Finally, we managed to construct a predictive model consisting of a reasonable number of genes that successfully recognized patients at higher risk, rendering these genes suitable as subjects in future research.

Indexed as

Clear cell renal cell carcinomaData miningPredictive modelStemness indicesTCGA

Identifiers

PMID36471843

DOI10.1016/j.heliyon.2022.e11794

PMCPMC9719011

OpenAlexW4309839513

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LicenceCC BY-NC-ND

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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.