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

Author:

Dong Jia1234,Liu Jiang1234,Zhang Bo1234,Liang Chen1234,Hua Jie1234,Meng Qingcai1234,Wei Miaoyan1234,Wang Wei1234,Yu Xianjun1234,Xu Jin1234ORCID

Affiliation:

1. Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China

2. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China

3. Shanghai Pancreatic Cancer Institute, Shanghai 200032, China

4. Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China

Abstract

(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.

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Shanghai Rising-Star Program

Clinical and Scientific Innovation Project and the Clinical Research Plan of the Shanghai Hospital Development Center

Scientific Innovation Project of the Shanghai Education Committee

Xuhui District Artificial Intelligence Medical Hospital Cooperation Project

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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