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Research Paper|Volume 15, Issue 22|pp 12982—12997

Multi-omics analysis of the oncogenic role of optic atrophy 1 in human cancer

Ziyi Wu1, Nuo Xu2, Guoqing Li3, Wen Yang4, Chen Zhang5, Hua Zhong6, Gen Wu6, Fei Chen2, Dianqing Li1
  • 1Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
  • 2Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
  • 3Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China
  • 4The Department of Network Center, Hainan Normal University, Haikou, Hainan 571158, China
  • 5Department of Emergency, The Fourth People’s Hospital of Zigong, Zigong, Sichuan 643000, China
  • 6Department of Orthopedics, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong 510900, China
* Equal contribution
Received: August 3, 2023Accepted: October 15, 2023Published: November 16, 2023

Copyright: © 2023 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Objective: To investigate the prognostic significance of optic atrophy 1 (OPA1) in pan-cancer and analyze the relationship between OPA1 and immune infiltration in cancer.

Results: OPA1 exhibited high expression levels or mutations in various types of tumor cells, and its expression levels were significantly correlated with the survival rate of tumor patients. In different tumor tissues, there was a notable positive correlation between OPA1 expression levels and the infiltration of cancer-associated fibroblasts in the immune microenvironment. Additionally, OPA1 and its related genes were found to be involved in several crucial biological processes, including protein phosphorylation, protein import into the nucleus, and protein binding.

Conclusion: OPA1 is highly expressed or mutated in numerous tumors and is strongly associated with protein phosphorylation, patient prognosis, and immune cell infiltration. OPA1 holds promise as a novel prognostic marker with potential clinical utility across various tumor types.

Methods: We examined OPA1 expression in pan-cancer at both the gene and protein levels using various databases, including Tumor Immune Estimation Resource 2.0 (TIMER 2.0), Gene Expression Profiling Interactive Analysis (GEPIA2), UALCAN, and The Human Protein Atlas (HPA). We utilized the Kaplan-Meier plotter and GEPIA datasets to analyze the relationship between OPA1 expression levels and patient prognosis. Through the cBioPortal database, we detected OPA1 mutations in tumors and examined their relationship with patient prognosis. We employed the TIMER 2.0 database to explore the correlation between OPA1 expression levels in tumor tissue and the infiltration of cancer-associated fibroblasts in the immune microenvironment. Furthermore, we conducted a gene search associated with OPA1 and performed enrichment analysis to identify the main signaling pathways and biological processes linked to them.