Mid term outcome of non-small cell lung cancer at Dong Nai General Hospital
Main Article Content
Abstract
Introduction: Multimodal treatment of non-small cell lung cancer at Dong Nai General Hospital needs to be evaluated. CEA and Cyfra21-1 are the most commonly used cancer markers in the clinical diagnosis of lung cancer. Determining the sensitivity and specificity of CEA and Cyfra21-1 in clinical practice as well as redetermining the optimal cut-off threshold of the test will help doctors in the department in diagnosing the disease.
Methods: Cross-sectional analysis. Cox regression was used to compare the risk of mortality in the perioperative period. ROC curve was plotted to calculate AUC and optimal cut-off was found using Youden index.
Results: There were 96 cases of confirmed lung cancer in the study, the average age was 62.7±9.7 years with a male:female ratio of 2:1. 36% of cases were hospitalized for chest pain, 22% were asymptomatic. In the study group, only 14% of patients were detected with early stage lung tumors, and only 56% agreed to be treated according to the hospital protocol. Participation in treatment according to the hospital protocol reduced the risk of death at the intermediate stage by 65% in the group diagnosed with lung cancer or 64% in the group with late stage lung cancer when compared with the group refusing treatment with p and HR of 0.35 (p= 0.001) and 0.36 (p = 0,01), respectively. The actual sensitivity and specificity of CEA and Cyfra21-1 were (84.4% and 64.4%) and Cyfra (86.3% and 74.2%), respectively. The optimal cut-offs determined by the ROC curve of CEA and Cyfra21-1 were associated with sensitivity and specificity of (3.77ng/ml;84%;81%) and (2.99ng/ml;84%;84%), respectively.
Conclusion: Radical treatment will help reduce the midterm mortality with in non small cell lung cancer patients. Using CEA and Cyfra21-1 tests to diagnose cancer in a hospitalized patient with suspected lung lesions has a sensitivity and specificity of (84%; 81%) for CEA and (84%; 84%) for Cyfra21-1, respectively, with the recommended cutoffs being 3.77 ng/ml CEA and 2.99 ng/ml Cyfra21-1.
Article Details
Keywords
Non small cell lung cancer, CEA, Cyfra 21-1
References
2. T. Zhao, G. Mao, M. Chen. The Role of Change Rates of CYFRA21-1 and CEA in Predicting Chemotherapy Efficacy for Non-Small-Cell Lung Cancer. Computational and mathematical methods in medicine. 2021;2021:pp.1951364. doi:10.1155/2021/1951364
3. Hoàng Hữu, Phạm Hùng Cường. Giá trị chẩn đoán và tiên lượng của cyfra 21-1 và cea trong ung thư phổi không tế bào nhỏ không tế bào nhỏ. Tạp Chí Y Học Lâm Sàng. 26/7/2022 8:pp.52 - 57.
4. United States government. U.S. Cancer Statistics Lung Cancer Stat Bite. CDC. 2024. https://www.cdc.gov/united-states-cancer-statistics/publications/lung-cancer-stat-bite.html
5. S. He, H. Li, M. Cao, et al. Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China. Translational lung cancer research. Aug 2022;11(8):pp.1591-1605. doi:10.21037/tlcr-22-240
6. NIH. Cancer Stat Facts: Lung and Bronchus Cancer. official website of the United States government, June 2024. https://seer.cancer.gov/statfacts/html/lungb.html
7. Sally Robertson. What are the Survival Rates for Lung Cancer? News-Medical. September 29, 2024. https://www.news-medical.net/health/What-are-the-Survival-Rates-for-Lung-Cancer.aspx
8. K. Okamura, K. Takayama, M. Izumi, T. Harada, K. Furuyama, Y. Nakanishi. Diagnostic value of CEA and CYFRA 21-1 tumor markers in primary lung cancer. Lung cancer (Amsterdam, Netherlands). Apr 2013;80(1):pp.45-9. doi:10.1016/j.lungcan.2013.01.002