2022 World Conference on Lung Cancer (ePosters)-EP16.04-022. Prognosis of Epithelial-Mesenchymal Transition-Related lncRNA Profile in LUSC Patients

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Researchers conducted a study to better understand the expression profile and prognostic value of epithelial-mesenchymal transition (EMT)-related long non-coding RNAs (lncRNAs) in lung squamous cell carcinoma (LUSC) patients. They obtained RNA-Seq data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.<br /><br />Using their analysis strategy, they identified a total of 322 EMT-related lncRNAs. Univariate Cox regression analysis on both the TCGA and GEO datasets revealed 11 highly overall survival (OS)-correlated lncRNAs. Further analysis divided the TCGA cohort into two subtypes, C1 and C2, based on the identified lncRNAs. The subtypes showed significant differences in OS, suggesting a potential association with prognosis in LUSC patients. Principal component analysis confirmed significant expression differences between the two subtypes. Some of the identified lncRNAs, such as MBNL1-AS1, ROR1-AS1, and WFDC21P, have been linked to the development and progression of lung cancer.<br /><br />The researchers also conducted immune infiltration analysis and found that neutrophils and T cells CD4 memory resting were significantly enriched in the C1 subtype. The immune and stromal scores of patients were also higher in the C1 subtype. Additionally, using the GDSC database, they found that the C2 subtype showed higher sensitivity to Erlotinib and Sorafenib, consistent with a longer OS.<br /><br />In conclusion, this study identified 11 EMT-related lncRNAs and two subtypes in LUSC patients, with the C1 subtype associated with a worse prognosis and higher immune infiltration. These findings contribute to our understanding of the molecular signatures and prognosis of LUSC.

Asset Subtitle

Shanshan Xiao

Meta Tag

Speaker Shanshan Xiao

Topic Tumour Biology and Biomarkers - Tumour Biology & Preclinical Studies

Keywords

expression profile

prognostic value

epithelial-mesenchymal transition

long non-coding RNAs

lung squamous cell carcinoma

overall survival

subtypes

immune infiltration analysis

neutrophils

molecular signatures