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Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study
PURPOSE: As a rare type of tumor, the metastasis pattern of large cell neuroendocrine carcinoma (LCNEC) is still unclear. Our aim was to investigate metastatic patterns and develop a predictive model of prognosis in patients with advanced LCNEC. METHODS: Patients of LCNEC diagnosed between 2010–2015...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590330/ https://www.ncbi.nlm.nih.gov/pubmed/37498395 http://dx.doi.org/10.1007/s00432-023-04975-w |
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author | Jiang, Tongchao Sun, Haishuang Li, Na Jiang, Tongcui |
author_facet | Jiang, Tongchao Sun, Haishuang Li, Na Jiang, Tongcui |
author_sort | Jiang, Tongchao |
collection | PubMed |
description | PURPOSE: As a rare type of tumor, the metastasis pattern of large cell neuroendocrine carcinoma (LCNEC) is still unclear. Our aim was to investigate metastatic patterns and develop a predictive model of prognosis in patients with advanced LCNEC. METHODS: Patients of LCNEC diagnosed between 2010–2015 from the Surveillance, Epidemiology and End Results (SEER) database were retrospectively included. Chi-square test was used for baseline characteristics analysis. Survival differences were assessed using Kaplan–Meier curves. Independent prognostic factors identified by multivariate Cox proportional risk model were used for the construction of nomogram. RESULTS: 557 eligible patients with metastasis LCNEC (median (IQR), 64 (56 to 72) years; 323 males) were included in this research. Among patients with isolated metastases, brain metastases had the highest incidence (29.4%), and multisite metastases had worse OS (HR: 2.020: 95% CI 1.413–2.888; P < 0.001) and LCSS (HR: 2.144, 95% CI 1.480–3.104; P < 0.001) in all age groups. Independent prognostic indicators including age, race, T stage, N stage, chemotherapy, radiotherapy and metastatic site were used for the construction of nomogram. Concordance index (C-index) and decision-curve analyses (DCAs) showed higher accuracy and net clinical benefit of nomogram compared to the 7th TNM staging system (OS: 0.692 vs 0.555; P < 0.001; LCSS: 0.693 vs 0.555; P < 0.001). CONCLUSIONS: We firstly established a novel comprehensive nomogram to predict the prognosis of metastasis LCNEC. The prognostic model demonstrated excellent accuracy and predictive performance. Chemotherapy and metastasis pattern were the two strongest predictive variables. Close follow-up of patients with LCNEC is necessary to make individualized treatment decisions according to different metastasis patterns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-023-04975-w. |
format | Online Article Text |
id | pubmed-10590330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105903302023-10-23 Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study Jiang, Tongchao Sun, Haishuang Li, Na Jiang, Tongcui J Cancer Res Clin Oncol Research PURPOSE: As a rare type of tumor, the metastasis pattern of large cell neuroendocrine carcinoma (LCNEC) is still unclear. Our aim was to investigate metastatic patterns and develop a predictive model of prognosis in patients with advanced LCNEC. METHODS: Patients of LCNEC diagnosed between 2010–2015 from the Surveillance, Epidemiology and End Results (SEER) database were retrospectively included. Chi-square test was used for baseline characteristics analysis. Survival differences were assessed using Kaplan–Meier curves. Independent prognostic factors identified by multivariate Cox proportional risk model were used for the construction of nomogram. RESULTS: 557 eligible patients with metastasis LCNEC (median (IQR), 64 (56 to 72) years; 323 males) were included in this research. Among patients with isolated metastases, brain metastases had the highest incidence (29.4%), and multisite metastases had worse OS (HR: 2.020: 95% CI 1.413–2.888; P < 0.001) and LCSS (HR: 2.144, 95% CI 1.480–3.104; P < 0.001) in all age groups. Independent prognostic indicators including age, race, T stage, N stage, chemotherapy, radiotherapy and metastatic site were used for the construction of nomogram. Concordance index (C-index) and decision-curve analyses (DCAs) showed higher accuracy and net clinical benefit of nomogram compared to the 7th TNM staging system (OS: 0.692 vs 0.555; P < 0.001; LCSS: 0.693 vs 0.555; P < 0.001). CONCLUSIONS: We firstly established a novel comprehensive nomogram to predict the prognosis of metastasis LCNEC. The prognostic model demonstrated excellent accuracy and predictive performance. Chemotherapy and metastasis pattern were the two strongest predictive variables. Close follow-up of patients with LCNEC is necessary to make individualized treatment decisions according to different metastasis patterns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-023-04975-w. Springer Berlin Heidelberg 2023-07-27 2023 /pmc/articles/PMC10590330/ /pubmed/37498395 http://dx.doi.org/10.1007/s00432-023-04975-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Jiang, Tongchao Sun, Haishuang Li, Na Jiang, Tongcui Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study |
title | Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study |
title_full | Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study |
title_fullStr | Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study |
title_full_unstemmed | Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study |
title_short | Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study |
title_sort | metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590330/ https://www.ncbi.nlm.nih.gov/pubmed/37498395 http://dx.doi.org/10.1007/s00432-023-04975-w |
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