Details

Autor(en) / Beteiligte

• Xu, Feng
• Huang, Xiaoling
• Li, Yangyi
• Chen, Yongsong
• Lin, Ling

Titel

m6A-related lncRNAs are potential biomarkers for predicting prognoses and immune responses in patients with LUAD

Ist Teil von

• Molecular therapy. Nucleic acids, 2021-06, Vol.24, p.780-791

Ort / Verlag

Elsevier Inc

Erscheinungsjahr

2021

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• Lung adenocarcinoma (LUAD) is the most frequent subtype of lung cancer worldwide. However, the survival rate of LUAD patients remains low. N6-methyladenosine (m6A) and long noncoding RNAs (lncRNAs) play vital roles in the prognostic value and the immunotherapeutic response of LUAD. Thus, discerning lncRNAs associated with m6A in LUAD patients is critical. In this study, m6A-related lncRNAs were analyzed and obtained by coexpression. Univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses were conducted to construct an m6A-related lncRNA model. Kaplan-Meier analysis, principal-component analysis (PCA), functional enrichment annotation, and nomogram were used to analyze the risk model. Finally, the potential immunotherapeutic signatures and drug sensitivity prediction targeting this model were also discussed. The risk model comprising 12 m6A-related lncRNAs was identified as an independent predictor of prognoses. By regrouping the patients with this model, we can distinguish between them more effectively in terms of the immunotherapeutic response. Finally, candidate compounds aimed at LUAD subtype differentiation were identified. This risk model based on the m6A-based lncRNAs may be promising for the clinical prediction of prognoses and immunotherapeutic responses in LUAD patients. [Display omitted] Xu et al. constructed and validated a risk model based on m6A-related lncRNAs in lung adenocarcinoma. This risk model may be promising for the clinical prediction of prognoses and immunotherapeutic responses in lung adenocarcinoma patients.