ORIGINAL RESEARCH article
Front. Oncol.
Sec. Gastrointestinal Cancers: Colorectal Cancer
This article is part of the Research TopicPrecision Oncology: Integrating Molecular Mechanisms, Organoid Models, and Omics Technologies for Personalized Cancer CareView all 10 articles
The potential of mitochondrial permeability transition-driven necrosis-related genes in prognostic evaluation of colorectal cancer patients
Provisionally accepted
- Fuzhou First Hospital, Fuzhou, China
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Background: Mitochondrial permeability transition-driven necrosis (MPTDN) has been implicated in a variety of diseases, but its relationship with colorectal cancer (CRC) prognosis is unclear. Methods: In this study, TCGA-COAD and TCGA-READ datasets were analyzed to identify differentially expressed genes (DEGs) in CRCs. Differentially expressed MPTDNGRs (DE-MPTDNRGs) were identified by comparing DEGs to MPTDN-related genes (MPTDNRGs). Univariate Cox, Minimum Absolute Contraction and Selection Operator (LASSO) regression and risk scoring analysis divided TCGA-CRC patients into high-and low-risk cohorts. Results: The prognostic genes LMNB2, CASP7, PRKCB, GZMB and ENDOG were identified, and the survival rate of high-risk patients was poor. Independent prognostic factors, including risk score, age, and N stage, are effective predictors of survival. Immunoassays revealed that high-risk patients had 9 elevated immune checkpoints, while low-risk patients were more susceptible to pazopanib and temsirolimus. In addition, single-cell analysis showed that PRKCB and GZMB were highly expressed in stem cells, while LMNB2 was more abundantly expressed in mast cells. Real-time PCR (RT-qPCR) confirmed low levels of CASP7, PRKCB, and ENDOG mRNA in CRC tissues, with no significant difference between LMNB2 and GZMB. Conclusion: These findings highlight 5 MPTDN-associated prognostic genes in CRC, providing insights for individualized treatment and prognosis.
Keywords: colorectal cancer, mitochondrial permeability transition driven necrosis, Prognostic genes, Risk model, single-cellanalysis
Received: 28 Oct 2025; Accepted: 16 Feb 2026.
Copyright: © 2026 Huang, Xie, Lin and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Kun Zhang
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