A nomogram for predicting overall survival in patients with resected non-small cell lung cancer treated with chemotherapy
| Autor: | Jun Liu, Nicholas R. Mayne, Wenhua Liang, Yuan Zeng, Jingpei Li, Chi-Fu Jeffrey Yang, Fei Cui, Jianxing He |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Oncology
medicine.medical_specialty business.industry non-small cell lung cancer (NSCLC) Cancer Nomogram medicine.disease 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis Internal medicine Epidemiology Cohort medicine T-stage Original Article 030212 general & internal medicine Radiation treatment planning business Lung cancer |
| Zdroj: | Transl Lung Cancer Res |
| ISSN: | 2218-6751 |
| Popis: | Background Chemotherapy is a common treatment for patients with resected non-small cell lung cancer (NSCLC). However, there are few models for predicting the survival outcomes of these patients. Here, we developed a clinical nomogram for predicting overall survival (OS) in this cohort. Methods A total of 16,661 patients with resected NSCLC treated with chemotherapy were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified prognostic factors and integrated them into a nomogram. The model was subjected to bootstrap internal validation using the SEER database and external validation using a database in China and the National Cancer Database (NCDB). The model's predictive accuracy and discriminative ability were tested by calibration and concordance index (C-index). Results Age, sex, number of dissected lymph nodes, extent of surgery, N stage, T stage, and grade were independent factors for OS and were integrated into the model. The calibration curves for probability of 1-, 3-, and 5-year OS showed excellent agreement between the predicted and actual survivals. The C-index of the nomogram was higher than that of the Tumor-Node-Metastasis staging system for predicting OS (training cohort, 0.62 vs. 0.58; China cohort, 0.68 vs. 0.63; NCDB cohort, 0.59 vs. 0.57). Conclusions We developed a nomogram that can present individual prediction of OS for patients with resected NSCLC who are undergoing chemotherapy. This practical prognostic tool may help clinicians in treatment planning. |
| Databáze: | OpenAIRE |
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