ArticleJournal of thoracic disease2020
Clinicopathological characteristics and prediction of cancer-specific survival in large cell lung cancer: a population-based study.
Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Development and Validation of a Prognostic Model to Predict Overall Survival for Lung Adenocarcinoma: A Population-Based Study From the SEER Database and the Chinese Multicenter Lung Cancer Database.Technology in cancer research & treatmentTrial
- PERP May Affect the Prognosis of Lung Adenocarcinoma by Inhibiting Apoptosis.Cancer management and research · 2024Article
- Article
- Effect of Chemotherapy in Stage II-IV Large-Cell Lung Carcinoma and Construction of Its Predictive Nomograms: A SEER Analysis.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023Article
- Whole-genome characterization of large-cell lung carcinoma: A comparative analysis based on the histological classification.Frontiers in genetics · 2022Article
- Identification of a novel therapeutic candidate, NRK, in primary cancer-associated fibroblasts of lung adenocarcinoma microenvironment.Journal of cancer research and clinical oncology · 2021Article
- Case Report: Long-Term Survival With Anlotinib in a Patient With Advanced Undifferentiated Large-Cell Lung Cancer and Rare Tonsillar Metastasis.Frontiers in oncology · 2021Article
- Surgical modality for stage IA non-small cell lung cancer among the elderly: analysis of the Surveillance, Epidemiology, and End Results database.Journal of thoracic disease · 2020Article
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8 authors.
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Abstract
backgroundTo describe the demographic and clinical characteristics of large cell lung cancer (LCLC) with a population-based database and to find the prognosis factors of cancer-specific survival (CSS) for these patients; also, to develop a nomogram to independently validate and predict the CSS for LCLC based on the identified prognosis factors.
methodsWe extracted the LCLC patient's information from the Surveillance, Epidemiology, and End Results (SEER) database [2005-2014] and summarized the characteristics of the extracted factors. We used Cox proportional hazards regression to find the prognosis factors for LCLC patients and to develop the nomogram based on these in a split train cohort from the extracted data. The validation of the developed nomograms was performed in an independent validation cohort from the extracted data, in which the C-index and the average of the time-dependent area under the receiver operating characteristic curve (time-dependent AUC) for CSS in 1-year, 3-year, and 5-year CSS was calculated. The calibration curves were drawn to visualize the performance of the established nomogram.
resultsAs a result, 4,936 patients with LCLC were identified from the SEER database. Nearly half of LCLC patients were diagnosed with stage IV; only approximately 20% of patients underwent surgery. The prognosis factors that influenced the LCLC patients included age, sex, American Joint Committee on Cancer (AJCC) stage, race, surgery, tumor size, and marital status. The calculated C-index was 0.701±0.01, and the mean time-dependent AUC for in 1-year, 3-year, and 5-year CSS was 0.88. The calibrated curve showed that the gap between the predicted and observed values for 1-year, 3-year, and 5-year CSS was small.
conclusionsSex, age, race, marital status, AJCC stage, surgery, and tumor size were shown to all be the independent prognostic factors of CSS in LCLC. The established nomogram can provide more precise evaluation for the survival of LCLC patients and help the clinicians in the individual management of patients.
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