Ontology highlight
ABSTRACT: Background
Neoadjuvant chemoimmunotherapy (NACI) is promising for resectable non-small cell lung cancer (NSCLC), but predictive biomarkers are still lacking. We aimed to develop a model based on pretreatment parameters to predict major pathological response (MPR) for such an approach.Methods
We enrolled operable NSCLC treated with NACI between March 2020 and May 2023 and then collected baseline clinical-pathology data and routine laboratory examinations before treatment. The efficacy and safety data of this cohort was reported and variables were screened by Logistic and Lasso regression and nomogram was developed. In addition, receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess its power. Finally, interna
SUBMITTER: Hu M
PROVIDER: S-EPMC11020048 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature