Evidence map›Paper›PMID 37749329›Full record

ArticleJournal of cancer research and clinical oncology2023

Potential value of mitochondrial regulatory pathways in the clinical application of clear cell renal cell carcinoma: a machine learning-based study.

Xiaochen Qi, Yangyang Ge, Ao Yang, Yuanxin Liu, Qifei Wang, Guangzhen Wu

Abstract read
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Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaochen Qi *Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Yangyang Ge *Department of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Ao Yang *Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Yuanxin LiuDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Qifei WangDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. wangqifei6008@hotmail.com.
Guangzhen WuDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. wuguang0613@Hotmail.com.

Funding

Doctoral Start-up Foundation of Liaoning Province 2021-BS-209
6 · The paper itself

Abstract

backgroundRenal clear cell carcinoma (RCC) is a common cancer in urinary system with increasing incidence. At present, targeted therapy and immunotherapy are the main therapeutic programs in clinical therapy. To develop novel drugs and provide new ideas for clinical therapy, the identification of potential ccRCC subtypes and potential target genes or pathways has become a current research focus.

aimThe aim of this study was to explore the underlying mechanisms of mitochondrial function in ccRCC. This regulatory pathway is closely related to tumor development and metastasis in ccRCC patients, and their abnormal changes may affect the prognosis of cancer patients. Therefore, we decided to construct a prognostic model of ccRCC patients based on mitochondrial regulatory genes, aiming to provide new methods and ideas for clinical therapy.

resultThe 5-year survival prediction model based on iterative LASSO reached 0.746, and the cox model based on coxph reached C-index = 0.77, integrated c/D AUC = 0.61, and integrated brier score = 0.14. The rsf model based on randomForestSRC was built with C-index = 0.82, integrated c/D AUC = 0.69, and integrated brier score = 0.11. The results show that mitochondrial regulatory pathway is a potential target pathway for clinical therapy of ccRCC, which can provide guidelines for clinical targeted therapy, immunotherapy and other first-line therapy.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansImmunotherapyMachine LearningMitochondriaPrognosisBioinformaticsClear cell renal cell carcinomaImmunotherapyMachine learningMitochondriaPrognostic modelTarget therapy

Identifiers

PMID37749329
PMCPMC10657316

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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.