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Updated: Sep 27, 2026

Transmitochondrial Cybrid Generation Using Cancer Cell Lines
Published on: March 17, 2023
Mitochondria-associated programmed cell death in colorectal cancer: molecular mechanisms, metabolic plasticity, and
Shaojie Liu1, Jiaqi Zhang1, Zihan Zhang1
1Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453100, China; Department of Pathology, Henan Medical University, Xinxiang, 453000, China.
Abstract:
Mitochondria integrate bioenergetics, redox homeostasis, calcium signaling, metabolite synthesis, organelle quality control, innate immune sensing, and regulated cell death. In colorectal cancer (CRC), mitochondrial function is not simply suppressed by aerobic glycolysis; rather, tumor cells dynamically redistribute flux between glycolysis, oxidative phosphorylation, glutaminolysis, fatty-acid metabolism, and the mevalonate pathway to meet stage- and treatment-specific demands. This metabolic plasticity determines whether mitochondrial stress is buffered or converted into a lethal signal. Here, we critically synthesize recent evidence linking mitochondrial bioenergetics, reactive oxygen species (ROS), mitophagy, fusion-fission dynamics, mitochondrial DNA (mtDNA) damage and release, mitochondrial biogenesis, and oncogenic signaling to apoptosis and non-apoptotic forms of programmed cell death, including ferroptosis, pyroptosis, necroptosis, PANoptosis, and cuproptosis. We further discuss mtDNA sensors-cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING), Toll-like receptor 9 (TLR9), NOD-like receptor family pyrin domain-containing 3 (NLRP3), and Z-DNA-binding protein 1 (ZBP1)-as links between mitochondrial injury, tumor-cell death, and antitumor immunity. Particular attention is given to B-cell lymphoma 2 (BCL-2) homology 3 (BH3) mimetics, metabolic inhibitors, patient-derived organoids (PDO), patient-derived organoid xenografts (PDOX), and immunocompetent models. Current evidence supports mitochondria as a therapeutically actionable network, but also reveals major context dependencies related to tumor genotype, cell state, treatment schedule, immune competence, and normal-tissue mitochondrial requirements. Biomarker-guided combinations and model systems that preserve patient heterogeneity will therefore be essential for clinical translation.
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