The Effect of Mutations Determined by Liquid Biopsy on the Progress of the Disease in Advanced Lung Adenocancer
1Department of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye
2Department of Oncology, Erciyes University Faculty of Medicine, Kayseri, Türkiye
3Corporate Data Management and Analytics Coordinating, Erciyes University, Kayseri, Türkiye
J Clin Pract Res 2023; 45(2): 165-171 DOI: 10.14744/etd.2022.09514
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Abstract

Aim: In this study, it was aimed to examine the mutation panel studied with liquid biopsy in diagnosed lung adenocancer patients and to investigate its relationship with survival.
Materials and Methods: Twenty-four diagnosed lung adenocarcinoma patients between the ages of 18-80, metastatic and who had not received chemotherapy yet were included in the study. The cfDNAs (cell-free DNA) isolated from the patient's blood were analyzed using the next generation sequencing commercial kit 56G Oncology Panel. SOPHiA DDM® (Saint-Sulpice, Switzerland) bioinformatics program was used for the classification of detected genetic variants. The patients were followed for 3 years in terms of survival. R Version 4.1.3 (https: //rstudio.com/) and TURCOSA Analytical (https: //turcosa.com.tr/) software was used for the statistical analysis.
Results: Mutation was found in liquid biopsy in 16 (66.7%) of the patients. In 7 (29.1%) patients, more than one mutation was detected in liquid biopsy. When the relationship between the variables and mortality was examined in the cases included in the study, there was a significant relationship between age and mortality (p=0.029) and mortality was increasing with aging. In the survival analysis, no statistically significant relationship was found between gender, smoking status, mutation status and survival according to Kaplan-Meier graphs and log-rank tests.
Conclusion: As a result, driver mutation was detected in 66.7% of the patients included in our study. Driver mutations are targets for treatments, and liquid biopsy may play a crucial role in the course of lung adenocancer to detect the driver mutations.