Risk coefficient model of necroptosis-related lncRNA in predicting the prognosis of patients with lung adenocarcinoma.

ABSTRACT: Model algorithms were used in constructing the risk coefficient model of necroptosis-related long non-coding RNA in identifying novel potential biomarkers in the prediction of the sensitivity to chemotherapeutic agents and prognosis of patients with lung adenocarcinoma (LUAD). Clinic and transcriptomic data of LUAD were obtained from The Cancer Genome Atlas. Differently expressed necroptosis-related long non-coding RNAs got identified by performing both the univariate and co-expression Cox regression analyses. Subsequently, the least absolute shrinkage and selection operator technique was adopted in constructing the nrlncRNA model. We made a comparison of the areas under the curve, did the count of the values of Akaike information criterion of 1-year, 2-year, as well as 3-year receiver ope

SUBMITTER: Chen H 

PROVIDER: S-EPMC9243036 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature