Detection method for predicting efficacy and prognosis of immunotherapy for small cell lung cancer based on ATAD2 expression

Abstract

w The invention discloses a detection method for predicting efficacy and prognosis of immunotherapy for small cell lung cancer based on ATAD2 expression, and relates to the technical fields of molecular biology and cancer treatment. The method comprises the following steps: extracting a tumor tissue sample of a small cell lung cancer patient through surgical resection; Detecting the tumor tissue sample to obtain ATAD2 expression level, wherein the detection adopts an immunohistochemical staining method. According to the invention, the expression level of ATAD2 in tumor tissues of small cell lung cancer is quantitatively evaluated by immunohistochemical detection technology, and the molecular marker information is systematically correlated with the clinical and pathological characteristics of patients by combining Cox regression analysis and Logistic regression analysis, so that the comprehensive prediction of immunotherapy efficacy and patient survival time is realized.