Distinguishing between N6-methyladenosine (m6A)-associated long noncoding RNAs (lncRNAs) is crucial in non-small-cell lung cancer (NSCLC) patients. In this research, the prognosis and immunotherapeutic response of lncRNAs and m6A in NSCLC were examined. lncRNAs related to m6A were identified using co-expression analyses, and their prognostic impact on patients with NSCLC was assessed using univariate Cox regression analysis. Sixty-three m6A-associated lncRNAs were determined as prognostic lncRNAs, and on this basis, 25 m6A-associated lncRNAs were screened by least absolute shrinkage and selection operator (lasso) Cox regression. Multivariable Cox analysis obtained 14 m6A-associated lncRNAs for the construction of risk model. The NSCLC patients were grouped into different risk subgroups in accordance with the median of the risk fraction in each data, and we evaluated the differences of potential immunotherapeutic characteristics and drug sensitivity prediction between the two subgroups. By using this model to recombine patients, they can be effectively distinguished in terms of the immunotherapy response. Furthermore, candidate compounds for the differentiation of NSCLC subtypes were identified. The model based on 14 m6A-associated lncRNAs is a promising prognostic biomarker, which may help to predict the efficacy of immunotherapy in NSCLC patients and provide a theoretical basis for improving the outcome of patients.
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