Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years

• Main Authors: Rongjiong Zheng, Mengdi Zheng, Mingming Wang, Feijie Lu, Meiling Hu
• Format: Article
• Language: English
• Published: BMC 2021-04-01
• Series: Archives of Public Health
• Subjects: Lung squamous cell carcinoma; LncRNAs; Survival
• Online Access: https://doi.org/10.1186/s13690-021-00588-2

Abstract Background Lung squamous cell carcinoma (LSCC) is a form of cancer that is associated with high rates of relapse, poor responsiveness to therapy, and a relatively poor prognosis. The relationship between long non-coding RNA (lncRNA) expression and LSCC patient prognosis remains to be established. Methods In the present study, we discovered that lncRNAs were differentially expressed in LSCC tumor tissues relative to normal control tissues, and we explored the prognostic relevance of these lncRNA expression patterns using data from the Cancer Genome Atlas (TCGA). Results These multidimensional data were analyzed in order to identify lncRNA signatures that were associated with LSCC patient survival outcomes. Kaplan-Meier survival curves revealed prognostic capabilities for three of these lncRNAs (LINC02555, APCDD1L-DT and OTX2-AS1). A Cox regression analysis revealed this three-lncRNA signature to be significantly associated with patient survival. Further GO and KEGG analyses revealed that the predicted target genes of these three lncRNAs were also potentially involved in cancer-associated pathways. Conclusions Together these results thus indicate that this novel three-lncRNA signature can be used to predict LSCC patient prognosis.