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Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis
BACKGROUND: The incidence and mortality of pancreatic adenosquamous carcinoma (PASC) have received little attention. The goal of our study was to explore the overall epidemiological trend of PASC at the population level. METHODS: The Surveillance, Epidemiology, and End Results database was used to c...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166980/ https://www.ncbi.nlm.nih.gov/pubmed/36850060 http://dx.doi.org/10.1002/cam4.5700 |
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author | Huang, Zhihao Wang, Jiakun Zhang, Rongguiyi He, Aoxiao Luo, Shuaiwu Wu, Rongshou Xiong, Jianghui Li, Min Jin, Tao Li, Enliang Wu, Linquan Liao, Wenjun |
author_facet | Huang, Zhihao Wang, Jiakun Zhang, Rongguiyi He, Aoxiao Luo, Shuaiwu Wu, Rongshou Xiong, Jianghui Li, Min Jin, Tao Li, Enliang Wu, Linquan Liao, Wenjun |
author_sort | Huang, Zhihao |
collection | PubMed |
description | BACKGROUND: The incidence and mortality of pancreatic adenosquamous carcinoma (PASC) have received little attention. The goal of our study was to explore the overall epidemiological trend of PASC at the population level. METHODS: The Surveillance, Epidemiology, and End Results database was used to collect the incidence, incidence‐based (IB) mortality, and patient details for PASC from 2000 to 2017. The Joinpoint regression tool was used to examine the trends in incidence and IB mortality. The Kaplan–Meier approach was used for survival analysis. Univariate and multivariate Cox regression analyses were used to determine the independent prognostic factors. RESULTS: We included 815 patients with PASC in the study. The incidence of PASC continuously increased from 2000 to 2017, with an annual percentage change (APC) of 3.9% (95% CI: 2.2%–5.7%, p < 0.05). IB mortality also increased continuously, with an APC of 5.0% (95% CI: 2.5%–7.6%, p < 0.05). Multivariate Cox regression analysis revealed that age, treatment, regional lymph node involvement, and tumor size were independent prognostic factors. Nomograms were created for PASC to predict 1‐ and 2‐year survival probabilities, respectively. CONCLUSIONS: The incidence and IB mortality of PASC had a sustained and rapid increase, indicating that the preventive and treatment measures for PASC were not ideal. We must identify the significance of this condition as soon as possible, and commit greater attention and resources to PASC research. |
format | Online Article Text |
id | pubmed-10166980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101669802023-05-10 Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis Huang, Zhihao Wang, Jiakun Zhang, Rongguiyi He, Aoxiao Luo, Shuaiwu Wu, Rongshou Xiong, Jianghui Li, Min Jin, Tao Li, Enliang Wu, Linquan Liao, Wenjun Cancer Med RESEARCH ARTICLES BACKGROUND: The incidence and mortality of pancreatic adenosquamous carcinoma (PASC) have received little attention. The goal of our study was to explore the overall epidemiological trend of PASC at the population level. METHODS: The Surveillance, Epidemiology, and End Results database was used to collect the incidence, incidence‐based (IB) mortality, and patient details for PASC from 2000 to 2017. The Joinpoint regression tool was used to examine the trends in incidence and IB mortality. The Kaplan–Meier approach was used for survival analysis. Univariate and multivariate Cox regression analyses were used to determine the independent prognostic factors. RESULTS: We included 815 patients with PASC in the study. The incidence of PASC continuously increased from 2000 to 2017, with an annual percentage change (APC) of 3.9% (95% CI: 2.2%–5.7%, p < 0.05). IB mortality also increased continuously, with an APC of 5.0% (95% CI: 2.5%–7.6%, p < 0.05). Multivariate Cox regression analysis revealed that age, treatment, regional lymph node involvement, and tumor size were independent prognostic factors. Nomograms were created for PASC to predict 1‐ and 2‐year survival probabilities, respectively. CONCLUSIONS: The incidence and IB mortality of PASC had a sustained and rapid increase, indicating that the preventive and treatment measures for PASC were not ideal. We must identify the significance of this condition as soon as possible, and commit greater attention and resources to PASC research. John Wiley and Sons Inc. 2023-02-27 /pmc/articles/PMC10166980/ /pubmed/36850060 http://dx.doi.org/10.1002/cam4.5700 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Huang, Zhihao Wang, Jiakun Zhang, Rongguiyi He, Aoxiao Luo, Shuaiwu Wu, Rongshou Xiong, Jianghui Li, Min Jin, Tao Li, Enliang Wu, Linquan Liao, Wenjun Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis |
title | Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis |
title_full | Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis |
title_fullStr | Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis |
title_full_unstemmed | Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis |
title_short | Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis |
title_sort | pancreatic adenosquamous carcinoma: a population level analysis of epidemiological trends and prognosis |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166980/ https://www.ncbi.nlm.nih.gov/pubmed/36850060 http://dx.doi.org/10.1002/cam4.5700 |
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