Development of a novel prognostic prediction model using mitochondrial-related genes and single-cell sequencing data for colorectal carcinoma

This study established a novel prognostic model for CRC based on mitochondrial genes, thereby extending the understanding of the disease's progression. Subsequent studies should seek to validate these findings within a broader cohort of patients and explore the potential therapeutic roles of the identified mitochondrial genes in the management of CRC.

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Publication Details

Journal
Translational Gastroenterology and Hepatology
Published
2025-09-22
DOI
https://doi.org/10.21037/tgh-25-89
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a novel prognostic prediction model using mitochondrial-related genes and single-cell sequencing data for colorectal carcinoma

Bo Sun, Shuang Xie, Jian Song, Jixin Zhang et al.
Translational Gastroenterology and Hepatology
Radiomics and Machine Learning in Medical Imaging
article

Development of a novel prognostic prediction model using mitochondrial-related genes and single-cell sequencing data for colorectal carcinoma

Bo Sun, Shuang Xie, Jian Song, Jixin Zhang, Xianli He, Xiaotian Dong, Chunxu Zhang, Xingguo Wang
article en

Abstract

This study established a novel prognostic model for CRC based on mitochondrial genes, thereby extending the understanding of the disease's progression. Subsequent studies should seek to validate these findings within a broader cohort of patients and explore the potential therapeutic roles of the identified mitochondrial genes in the management of CRC.

Translational Gastroenterology and HepatologyVol. 10
Xijing Hospital (CN), Air Force Medical University (CN)
Openalex Percentile: Top 62%
Radiomics and Machine Learning in Medical Imaging
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