ArticlePloS one2019
Prognostic nomogram predicts overall survival in pulmonary large cell neuroendocrine carcinoma.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 22 citations in OpenAlex.
- Pulmonary Large-Cell Neuroendocrine Carcinoma, a Multifaceted Disease-Case Report and Literature Review.Diagnostics (Basel, Switzerland) · 2025Article
- [Research Progress on Molecular Subtypes and Precision Therapy of Pulmonary Large Cell Neuroendocrine Carcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Review
- Rachel score: a nomogram model for predicting the prognosis of lung neuroendocrine tumors.Journal of endocrinological investigation · 2024Article
- Efficacy of immune checkpoint inhibitors in advanced large cell neuroendocrine carcinoma of the lung: A single‑institution experience.Oncology letters · 2024Article
- A prognostic nomogram based on least absolute shrinkage and selection operator Cox regression in patients with pulmonary large-cell neuroendocrine carcinoma.Translational cancer research · 2024Article
- [Development and Validation of A Prognostic Nomogram to Guide Decision-making in Lung Large Cell Neuroendocrine Carcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Article
- Lung Large Cell Neuroendocrine Carcinoma: A Population-Based Retrospective Cohort Study.Journal of clinical medicine · 2023Article
- Article
- Large Cell Neuroendocrine Carcinoma of the Lung: Current Understanding and Challenges.Journal of clinical medicine · 2022Review
- A nomogram prognostic model for large cell lung cancer: analysis from the Surveillance, Epidemiology and End Results Database.Translational lung cancer research · 2021Article
- Establishment of a Macrophage Phenotypic Switch Related Prognostic Signature in Patients With Pancreatic Cancer.Frontiers in oncology · 2021Article
- A Clinical Nomogram for Predicting Cancer-Specific Survival in Pulmonary Large-Cell Neuroendocrine Carcinoma Patients: A Population-Based Study.International journal of general medicine · 2021Article
- Heterogeneous Tumor-Immune Microenvironments between Primary and Metastatic Tumors in a Patient withInternational journal of molecular sciences · 2020Article
- Outcomes of Patients with Clinical Stage I-IIIA Large-Cell Neuroendocrine Lung Cancer Treated with Resection.Journal of clinical medicine · 2020Article
- Upregulation of Long Non-Coding RNA GCC2-AS1 Facilitates Malignant Phenotypes and Correlated With Unfavorable Prognosis for Lung Adenocarcinoma.Frontiers in oncology · 2020Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLarge cell neuroendocrine carcinoma (LCNEC) is a rare and typically aggressive malignancy with poor prognosis. This study developed a nomogram model to predict the overall survival (OS) of patients with LCNEC.
methodsLCNEC patients were identified from the Surveillance, Epidemiology, and End Results database between 2004-2014. Univariate and multivariate Cox regression models were used to determine demographic and clinicopathological features associated with OS. A nomogram model was generated to predict OS and its performance was assessed by Harrell's concordance index (C-index), calibration plots, and subgroup analysis by risk scores.
resultsOf 3048 eligible patients with LCNEC, 2138 were randomly grouped into the training set and 910 into the validation set. Age at diagnosis, gender, tumor stage, N stage, tumor size, and surgery of primary site were independent prognostic factors of OS. C-index values of the nomogram were 0.75 (95% CI, 0.74-0.76) and 0.76 (95% CI, 0.74-0.77) in the training and validation sets, respectively. In both cohorts, the calibration plots showed good concordance between the predicted and observed OS at 3 and 5 years. Kaplan-Meier curves revealed significant differences in OS in patients stratified by nomogram-based risk score, and patients with a higher-than-median risk score had poorer OS.
conclusionThis is the first nomogram developed and validated in a large population-based cohort for predicting OS in patients with LCNEC, and it shows favorable discrimination and calibration abilities. Use of this proposed nomogram has the potential to improve prediction of survival risk, and lead to individualized clinical decisions for LCNEC.
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