Regulation of early diagnosis and prognostic markers of lung adenocarcinoma in immunity and hypoxia

• Published in: Scientific reports Vol. 13; no. 1; p. 6459
• Main Authors: Sun, Kang, Zhang, Zhiqiang, Wang, Dongqin, Huang, Yinlong, Zhang, Jing, Lian, Chaoqun
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.04.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 631/208; 631/250; 631/67; 631/80; 692/1537; 692/700; Adenocarcinoma; Adenocarcinoma of Lung - diagnosis; Adenocarcinoma of Lung - genetics; Cancer; Diagnosis; Early Detection of Cancer; Gene expression; Humanities and Social Sciences; Humans; Hypoxia; Hypoxia - genetics; Immunity; Lung cancer; Lung Neoplasms - diagnosis; Lung Neoplasms - genetics; Medical prognosis; mRNA; multidisciplinary; Neoplasm Proteins; Patients; Prognosis; Regression analysis; Risk groups; Science; Science (multidisciplinary); Tumor cells
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-33404-8

Lung adenocarcinoma is still cancer with the highest mortality. Hypoxia and immunity play an essential role in the occurrence and development of tumors. Therefore, this study is mainly to find new early diagnosis and prognosis markers and explore the relationship among the markers and immunity and hypoxia, to improve the prognosis of patients. Firstly, based on the clinical database in TCGA, we determined the most critical clinicopathological parameters affecting the prognosis of patients through a variety of analysis methods. According to pathological parameters, logistic most minor absolute contraction selection operator (lasso), univariate and multivariate regression analysis, the risk genes related to early prognosis were screened, and the risk model was established. Then, in different risk groups, GSEA and CIBERSORT algorithms were used to analyze the distribution and enrichment of the immune cells and hypoxia, to study the effects of early prognostic indicators on hypoxia and immunity. At the same time, we analyzed the different levels of risk genes in normal cells (BSEA-2B) and tumor cells (H1299, A549, PC9, and H1975). Finally, A549 and PC9 cells were induced by CoCl2 to establish a hypoxic environment, and the correlation between risk genes and HIF1A was analyzed. The risk model based on risk genes (CYP4B1, KRT6A, and FAM83A) was accurate and stable for the prognosis of patients. It is closely related to immunity and hypoxia. In BSEA-2B cells, the mRNA and protein expression of CYP4B1 was higher, while the expression of KRT6A and FAM83A was lower. Finally, we found that FAM83A and HIF1A showed a significant positive correlation when A549 and PC9 cells were exposed to hypoxia. The discovery of early diagnostic markers related to immunity, hypoxia, and prognosis, provides a new idea for early screening and prognostic treatment of lung adenocarcinoma.