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Decreased Expression of a Novel lncRNA FAM181A-AS1 is Associated with Poor Prognosis and Immune Infiltration in Lung Adenocarcinoma

Weiquan Liang, Yiyu Lu, Xingxi Pan, Yunxiang Zeng, Weiqiang Zheng, Yiran Li, Yuanhang Nie, Dongbing Li, Dongliang Wang

2022Pharmacogenomics and Personalized Medicine26 citationsDOIOpen Access PDF

Abstract

Background: There is no clear information regarding the role of FAM181A antisense RNA 1 (FAM181A-AS1) in lung adenocarcinoma (LUAD). We explored the relationship between FAM181A-AS1 and LUAD using bioinformatics analysis and experimental validation in this study. Methods: Statistics and databases were used to evaluate the relationship between clinical features in LUAD patients and FAM181A-AS1 expression, prognostic factors, regulation network, and immune infiltration of FAM181A-AS1 in function. LUAD cell lines were tested for FAM181A-AS1 expression using qRT-PCR. Results: FAM181A-AS1 showed significantly low expression in LUAD patients. Low FAM181A-AS1 expression predicted a poorer overall survival (OS) (HR: 0.66; 95% CI: 0.49-0.88; P=0.005) and disease specific survival (DSS) (HR: 0.64; 95% CI: 0.44-0.92; P=0.017) of LUAD patients. There was also an independent correlation between low FAM181A-AS1 expression (HR: 0.547; 95% CI: 0.350-0.857; P=0.008) and OS in LUAD patients. The FAM181A-AS1 high-expression phenotype was differentially enriched for M phase, cellular senescence, cell cycle checkpoints, chromatin modifying enzymes, ESR-mediated signaling, DNA repair, G2/M checkpoints, HCMV infection, and DNA double-strand break repair. A correlation was found between the expression of FAM181A-AS1 and immune infiltrating cells. A significant decrease in FAM181A-AS1 expression was observed in LUAD cell lines compared to Beas-2B. Conclusion: There was a significant association between low FAM181A-AS1 expression in LUAD patients and poor survival and immune infiltration. The FAM181A-AS1 gene may provide a useful biomarker for LUAD prognosis and immunotherapy response.

Topics & Concepts

MedicineImmune systemInfiltration (HVAC)AdenocarcinomaLungCancer researchOncologyInternal medicineImmunologyCancerThermodynamicsPhysicsCancer-related molecular mechanisms researchFerroptosis and cancer prognosisMachine Learning in Bioinformatics