Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC. Issue 34 (26th August 2022)

• Record Type: Journal Article
• Authors: Dogan, Izzet; Gurbuz, Mustafa; Paksoy, Nail; Ferhatoglu, Ferhat; Vatansever, Sezai; Saip, Pinar; Demirkazik, Ahmet; Aydiner, Adnan
• Is Part Of: Medicine. Volume 101:Issue 34(2022)
• Page Start: e30188
• Publication Date: 2022-08-26
• Subjects: alectinib -- anaplastic lymphoma kinase -- crizotinib -- lung adenocarcinoma -- prognosis; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000030188
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : ALK (anaplastic lymphoma kinase) inhibitors may be used to treat patients with ALK mutant metastatic nonsmall cell cancer (NSCLC). This study aimed to investigate the factors affecting the patients response to treatment with ALK-positive metastatic NSCLC. Data of the patients were investigated retrospectively. Binary regression analysis was performed to evaluate response predictors of treatment. Furthermore, we determined the cut-off value of the ALK-positivity for objective response to the therapy using ROC analysis. A total of 68 patients were included in the research. The median overall survival was observed 39.2 months. The overall response rate was 66.2%. The ratio of ALK positivity ( P = .02), gender ( P = .04), and the total number of metastatic sites ( P = .02) all were detected as predictors of the response to ALK inhibitor in binary regression analysis. ALK inhibitor type ( P = .56), primary tumor location ( P = .35), pathological subtype ( P = .68), de-novo metastatic disease ( P = .28), and age ( P = .94) were not predictive indicators for response. The cut-off level of ALK positivity was found to be 33% in patients with an objective response. The real-life effectiveness of ALK inhibitors in NSCLC patients with ALK mutations was shown in this research. We determined that having less than 3 metastatic sites, having a high ALK positivity ratio, and being female were all good predictors of ALK inhibitor response.