An investigation of Mycobacterium tuberculosis infection and expression of the Notch signaling pathway in patients with primary lung cancer
Objective:To explore Mycobacterium tuberculosis(MTB)infection and the expression of the Notch signaling pathway in pa-tients with primary lung cancer.Methods:A total of 96 patients with primary lung cancer who underwent radical surgery at Chongqing University Cancer Hospital between January 2022 and June 2022 were enrolled as research subjects.MTB and its L-forms in the lung tissue were detected using in situ molecular hybridization and acid-fast staining.Drug resistance was analyzed using a drug susceptibil-ity test.Mutations at the sites of target genes were identified using sequencing.The expressions of Notch 1,Notch2 and Notch3 proteins in the lung tissue were determined using Western blot.Results:Of the 96 patients with primary lung cancer,the positive rate of MTB-L forms was 38.54％(37/96),with 68 MTB-L strains isolated from the sputum samples of the positive patients.The resistance rate of the isolated MTB-L strains to first-line anti-tuberculosis drugs was 60.29％(41/68),with the highest drug resistance rate of 22.06％for the combination of isoniazid,streptomycin,rifampicin,and ethambutol.The resistance rate of the isolated MTB-L strains to second-line anti-tuberculosis drugs was 36.76％(25/68),with the highest drug resistance rate of 14.70％for ofloxacin alone.The target genes with the top three mutation rates at the drug sites of the MTB-L strains were isoniazid katG S315T(45.58％),streptomycin rpsL K43R(42.65％),and rifampicin rpoB S450L(20.59％).The relative expression levels of Notch 1,Notch2,and Notch3 proteins in the lung tissue of patients with positive MTB-L infections were higher than those in the lung tissue of patients with negative MTB-L infections(P＜0.05).Conclusion:MTB infection in patients with primary lung cancer is mainly caused by MTB L-forms,and drug resistance is severe.Abnormal activation of the Notch signaling pathway is ob-served in patients with MTB-L infection.
万方数据
维普
