ArticleScientific reports2022
Treatment outcome and prognostic analysis of advanced large cell neuroendocrine carcinoma of the lung.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Immunotherapy-combined chemotherapy as first-line treatment for stage IIIB/IV large cell neuroendocrine lung carcinoma.American journal of translational research · 2026Article
- Prognostic models for large cell neuroendocrine lung carcinoma: a machine learning and regression approach.Translational lung cancer research · 2025Article
- Efficacy of cadonilimab and anlotinib combination in treating multiple drug‑resistant pulmonary large cell neuroendocrine carcinoma: A case report and literature review.Oncology letters · 2025Article
- First-line immune checkpoint inhibitors combined with chemotherapy in advanced large-cell neuroendocrine carcinoma of the lung: a real-world retrospective study.Frontiers in oncology · 2025Article
- Treatment status, survival and gene expression analysis of large-cell neuroendocrine lung carcinoma: a real-world study in China.Therapeutic advances in medical oncology · 2025Article
- Article
- Isolated Splenic Metastasis From Large-Cell Neuroendocrine Carcinoma of Lung: A Case Report.Cureus · 2024Article
- Prognostic factors and nomogram for pulmonary resected high-grade neuroendocrine carcinomas: a 20-year single institutional real-world experience.Orphanet journal of rare diseases · 2024Article
- 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
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The optimal systemic treatment of advanced large cell neuroendocrine carcinoma (LCNEC) is still controversial. We intend to explore advanced LCNEC through SEER database, construct nomogram model of advanced LCNEC, and understand the effect of different treatment regimens on LCNEC. We collected 909 patients, divided them into a training set validation set, constructed nomograms using Cox proportional hazards regression models, and evaluated nomogram discrimination and calibration by C-index and calibration curves. Kaplan-Meier will also be used to compare OS in different groups of patients and to explore the impact of different treatment regimens on advanced LCNEC. On the nomogram plotted, the nomogram predicted AUC values over time were always greater than 0.7, the C-index was 0.681 (95% CI 0.656-0.706) and 0.663 (95% CI 0.628-0.698) in the training and validation sets, respectively, and patients were divided into two groups according to risk, and a significant difference in OS was observed between the high-risk and low-risk groups in the training and validation cohorts. Different treatment analyses showed that chemotherapy is still the best treatment for advanced LCNEC. This nomogram provides a convenient and reliable tool for individual assessment and clinical decision-making of patients with advanced LCNEC.
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