Construction of a Mitochondria‐Related Gene Diagnostic Model Based on Integrated Multiomics Data and Functional Validation of ANK2 as a Key Regulator in Colorectal Cancer
Xiangyu Ding, Huanhuan Wu, Jiyuan Yang, Han Song, Jianhui Guo, Xudong Wang, Xiaopeng Zhang
TL;DR
This study develops a diagnostic model for colorectal cancer using mitochondrial genes and validates ANK2 as a key tumor suppressor.
Contribution
A novel CRC diagnostic model using mitochondria-related genes and functional validation of ANK2 as a tumor suppressor.
Findings
Eight key mitochondrial-related genes were identified and used to construct a CRC diagnostic model with high accuracy.
ANK2 was confirmed to promote apoptosis and inhibit angiogenesis in CRC, indicating its role as a tumor suppressor.
The model's genes showed correlations with immune cell infiltration and specific expression patterns in single-cell data.
Abstract
Colorectal cancer (CRC) is one of the most common malignancies of the digestive tract globally, characterized by high incidence, difficulty in early diagnosis, and poor prognosis. Traditional screening methods have limitations in sensitivity and specificity, thus necessitating the development of novel, efficient molecular diagnostic approaches. Recent studies have highlighted the crucial role of mitochondrial dysfunction in the initiation and progression of various cancers, suggesting that mitochondria‐related genes (MRGs) could serve as promising diagnostic targets for CRC. In this study, we integrated transcriptomic data from 1174 samples across The Cancer Genome Atlas (TCGA) and multiple Gene Expression Omnibus (GEO) public datasets (GSE21510, GSE44076, and GSE9348) and combined it with MRG data from the MitoCarta3.0 database for a systematic analysis of differentially expressed…
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Taxonomy
TopicsFerroptosis and cancer prognosis · Single-cell and spatial transcriptomics · Immune cells in cancer