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A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma
OBJECTIVE: To improve prediction, the AJCC staging system was revised to be consistent with upfront surgery (UFS) and neoadjuvant therapy (NAT) for PDAC. BACKGROUND: The AJCC staging system was designed for patients who have had UFS for PDAC, and it has limited predictive power for patients receivin...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463422/ https://www.ncbi.nlm.nih.gov/pubmed/37612635 http://dx.doi.org/10.1186/s12885-023-11181-x |
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author | Zhu, Lingyu Shen, Shuo Wang, Huan Zhang, Guoxiao Yin, Xiaoyi Shi, Xiaohan Gao, Suizhi Han, Jiawei Ren, Yiwei Wang, Jian Jiang, Hui Guo, Shiwei Jin, Gang |
author_facet | Zhu, Lingyu Shen, Shuo Wang, Huan Zhang, Guoxiao Yin, Xiaoyi Shi, Xiaohan Gao, Suizhi Han, Jiawei Ren, Yiwei Wang, Jian Jiang, Hui Guo, Shiwei Jin, Gang |
author_sort | Zhu, Lingyu |
collection | PubMed |
description | OBJECTIVE: To improve prediction, the AJCC staging system was revised to be consistent with upfront surgery (UFS) and neoadjuvant therapy (NAT) for PDAC. BACKGROUND: The AJCC staging system was designed for patients who have had UFS for PDAC, and it has limited predictive power for patients receiving NAT. METHODS: We examined 146 PDAC patients who had resection after NAT and 1771 who had UFS at Changhai Hospital between 2012 and 2021. The clinicopathological factors were identified using Cox proportional regression analysis, and the Neoadjuvant Therapy Compatible Prognostic (NATCP) staging was developed based on these variables. Validation was carried out in the prospective NAT cohort and the SEER database. The staging approach was compared to the AJCC staging system regarding predictive accuracy. RESULTS: The NAT cohort’s multivariate analysis showed that tumor differentiation and the number of positive lymph nodes independently predicted OS. The NATCP staging simplified the AJCC stages, added tumor differentiation, and restaged the disease based on the Kaplan-Meier curve survival differences. The median OS for NATCP stages IA, IB, II, and III was 31.7 months, 25.0 months, and 15.8 months in the NAT cohort and 30.1 months, 22.8 months, 18.3 months, and 14.1 months in the UFS cohort. Compared to the AJCC staging method, the NATCP staging system performed better and was verified in the validation cohort. CONCLUSIONS: Regardless of the use of NAT, NATCP staging demonstrated greater predictive abilities than the existing AJCC staging approach for resected PDAC and may facilitate clinical decision-making based on accurate prediction of patients’ OS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11181-x. |
format | Online Article Text |
id | pubmed-10463422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104634222023-08-30 A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma Zhu, Lingyu Shen, Shuo Wang, Huan Zhang, Guoxiao Yin, Xiaoyi Shi, Xiaohan Gao, Suizhi Han, Jiawei Ren, Yiwei Wang, Jian Jiang, Hui Guo, Shiwei Jin, Gang BMC Cancer Research OBJECTIVE: To improve prediction, the AJCC staging system was revised to be consistent with upfront surgery (UFS) and neoadjuvant therapy (NAT) for PDAC. BACKGROUND: The AJCC staging system was designed for patients who have had UFS for PDAC, and it has limited predictive power for patients receiving NAT. METHODS: We examined 146 PDAC patients who had resection after NAT and 1771 who had UFS at Changhai Hospital between 2012 and 2021. The clinicopathological factors were identified using Cox proportional regression analysis, and the Neoadjuvant Therapy Compatible Prognostic (NATCP) staging was developed based on these variables. Validation was carried out in the prospective NAT cohort and the SEER database. The staging approach was compared to the AJCC staging system regarding predictive accuracy. RESULTS: The NAT cohort’s multivariate analysis showed that tumor differentiation and the number of positive lymph nodes independently predicted OS. The NATCP staging simplified the AJCC stages, added tumor differentiation, and restaged the disease based on the Kaplan-Meier curve survival differences. The median OS for NATCP stages IA, IB, II, and III was 31.7 months, 25.0 months, and 15.8 months in the NAT cohort and 30.1 months, 22.8 months, 18.3 months, and 14.1 months in the UFS cohort. Compared to the AJCC staging method, the NATCP staging system performed better and was verified in the validation cohort. CONCLUSIONS: Regardless of the use of NAT, NATCP staging demonstrated greater predictive abilities than the existing AJCC staging approach for resected PDAC and may facilitate clinical decision-making based on accurate prediction of patients’ OS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11181-x. BioMed Central 2023-08-23 /pmc/articles/PMC10463422/ /pubmed/37612635 http://dx.doi.org/10.1186/s12885-023-11181-x 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhu, Lingyu Shen, Shuo Wang, Huan Zhang, Guoxiao Yin, Xiaoyi Shi, Xiaohan Gao, Suizhi Han, Jiawei Ren, Yiwei Wang, Jian Jiang, Hui Guo, Shiwei Jin, Gang A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma |
title | A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma |
title_full | A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma |
title_fullStr | A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma |
title_full_unstemmed | A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma |
title_short | A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma |
title_sort | neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463422/ https://www.ncbi.nlm.nih.gov/pubmed/37612635 http://dx.doi.org/10.1186/s12885-023-11181-x |
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