Mitochondria-Related Transcriptome Characterization Associated with the Immune Microenvironment, Therapeutic Response and Survival Prediction in Pancreatic Cancer

• Published in: International journal of molecular sciences 2023-02, Vol.24 (4), p.3270
• Main Authors: Dong, Jia, Liu, Jiang, Zhang, Bo, Liang, Chen, Hua, Jie, Meng, Qingcai, Wei, Miaoyan, Wang, Wei, Yu, Xianjun, Xu, Jin
• Format: Article
• Language: English
• Subjects: Analysis; Cancer therapies; chemotherapeutic response; Chemotherapy; Clinical decision making; Development and progression; Energy; Gene expression; Gene mutations; Genes; Genomes; Health aspects; Homeostasis; Humans; Immunology; Localization; Medical prognosis; Metabolism; Metabolites; Metastasis; Microenvironments; Mitochondria; mitochondria-related genes; Mitochondrial DNA; Mutation; Nomograms; Pancreas; Pancreatic cancer; Pancreatic Neoplasms; Phosphorylation; Point mutation; Prognosis; Proteins; Regression analysis; Risk groups; survival; Survival analysis; Transcriptome; Transcriptomes; Tumor Microenvironment; Tumors
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms24043270

(1) Background: Pancreatic cancer (PC) is one of the most lethal tumors. Mitochondrial dysfunction has been reported to be involved in cancer development; however, its role in PC has remained unclear. (2) Methods: The differentially expressed NMGs were selected between PC and normal pancreatic tissue. The NMG-related prognostic signature was established by LASSO regression. A nomogram was developed based on the 12-gene signature combined with other significant pathological features. An extensive analysis of the 12 critical NMGs was performed in multiple dimensions. The expression of some key genes was verified in our external cohort. (3) Results: Mitochondria-related transcriptome features was obviously altered in PC compared with normal pancreas tissue. The 12-NMG signature showed good performance in predicting prognosis in various cohorts. The high- and low-risk groups exhibited notable diversity in gene mutation characteristics, biological characteristics, chemotherapy response, and the tumor immune microenvironment. Critical gene expression was demonstrated in our cohort at the mRNA and protein levels and in organelle localization. (4) Conclusions: Our study analyzed the mitochondrial molecular characterization of PC, proving the crucial role of NMGs in PC development. The established NMG signature helps classify patient subtypes in terms of prognosis prediction, treatment response, immunological features, and biological function, providing a potential therapeutic strategy targeting mitochondrial transcriptome characterization.