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Aim: To develop an oxidative phosphorylation (OXPHOS)-related gene signature of lung adenocarcinoma (LUAD). Materials & methods: We split The Cancer Genome Atlas LUAD cohort into a training set and a test set; we used the least absolute shrinkage and selection operator Cox method to structure the OXPHOS-related prognostic signature in the training set and verified in the test set and GSE30219 dataset. Meanwhile, the diagnostic model was constructed using the logistic Cox method. Results: The signature consisted of seven genes ( LDHA, CFTR, HSPD1, SNHG3, MAP1LC3C, COX6B2, and TWIST1). LUAD patients were divided into high- and low-risk groups, demonstrating good diagnostic and prognostic capabilities. Conclusion: We developed the first-ever OXPHOS-related signature with both prognostic predictive power and diagnostic efficacy.

Aim: This study aimed to explore the genetic and epigenetic similarities between chronic obstructive pulmonary disease (COPD) and lung adenocarcinoma (LUAD). Materials & methods: We mainly used Weighted correlation network analysis, protein–protein interaction network and pivot analysis to identify hub modules, bridge regulators, bridge genes and hub-driving genes in both diseases and carried out verifying using external datasets. Results: We identified eight bridge regulators, 19 key molecules in the COPD model and ten key molecules in the LUAD model. Moreover, we validated that CDC5L could be a reliable biomarker in COPD and may regulate cell proliferation and metastasis in LUAD via promoter methylation. Conclusion: Our results might form a theoretical foundation for future study at an epigenetic level.