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Title Prognostic factors for recurrence in patients with surgically resected non-small cell lung cancer
Authors Moskalenko, Yuliia Vasylivna  
Smorodska, Olha Mykolaivna  
Deineka, Volodymyr Mykolaiovych
Kravets, Oleksandr Valeriiovych  
ORCID http://orcid.org/0000-0002-5398-0298
http://orcid.org/0000-0002-9028-3379
http://orcid.org/0000-0003-3394-6671
Keywords lung cancer
IHC
predictors
disease recurrence
Type Article
Date of Issue 2022
URI https://essuir.sumdu.edu.ua/handle/123456789/98575
Publisher Termedia Publishing House
License Creative Commons Attribution 4.0 International License
Citation Moskalenko, Y., Smorodska, O., Deineka, V., Kravets, O., & Moskalenko, R. (2022). Prognostic factors for recurrence in patients with surgically resected non-small cell lung cancer. Contemporary Oncology/Współczesna Onkologia, 26(3), 239-246. https://doi.org/10.5114/wo.2022.120638.
Abstract Introduction: Patients with lung cancer receive treatment according to National Cancer Comprehensive Network (NCCN) standards. However, disease recurrence is reported in about 30% of patients during the first five years. Our study aimed to establish independent predictors of lung cancer recurrence. Material and methods: 104 patients with definitive treatment for nonsmall-cell lung carcinoma receiving standard adjuvant chemotherapy in the period 2014–2018 in our cancer center were retrospectively reviewed. The prognostic significance of five routine immunohistochemical (IHC) markers was examined. Results: During the follow-up period disease recurrence occurred in 42 (40.4%) of the 104 enrolled patients. The median recurrence-free survival was 56.3 months, range 4–84.0 months (95% CI = 46.866–65.683). The recurrence-free survival rate was 58.8%. The frequencies of locoregional recurrence, lung recurrence, kidney, bone, lymph nodes of the neck, liver, and brain recurrence were 23.8%, 21.5%, 16.7%, 9.5%, 9.5%, 9.5% and 9.5%, respectively. Conclusions: Using the Cox regression model, category T, histological differentiation, and smoking status were identified as independent predictors of disease recurrence. The studied biological markers (PD-L1, Ki67, p53, epidermal growth factor receptor, and ALK) did not help the model predict disease recurrence. For statistical reliability, it is necessary to conduct a study on a larger cohort of patients and compare the mutual influence of several biomarkers.
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