Cargando…
Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations
BACKGROUND/AIMS: Pancreatic ductal adenocarcinoma (PDAC) can occur in different parts of the pancreas. This study aimed to identify clinicopathological characteristics independently correlated with the prognosis of PDAC of the pancreatic head/uncinate (PHC) or body-tail (PBTC), and to develop novel...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103839/ https://www.ncbi.nlm.nih.gov/pubmed/33968745 http://dx.doi.org/10.3389/fonc.2021.646082 |
_version_ | 1783689371566735360 |
---|---|
author | Li, Ge Liao, Cheng-Yu Chen, Jiang-Zhi Huang, Long Yang, Can Tian, Yi-Feng Wang, Yi-Ting Du, Qiang Zhan, Qian Chen, Yan-Ling Chen, Shi |
author_facet | Li, Ge Liao, Cheng-Yu Chen, Jiang-Zhi Huang, Long Yang, Can Tian, Yi-Feng Wang, Yi-Ting Du, Qiang Zhan, Qian Chen, Yan-Ling Chen, Shi |
author_sort | Li, Ge |
collection | PubMed |
description | BACKGROUND/AIMS: Pancreatic ductal adenocarcinoma (PDAC) can occur in different parts of the pancreas. This study aimed to identify clinicopathological characteristics independently correlated with the prognosis of PDAC of the pancreatic head/uncinate (PHC) or body-tail (PBTC), and to develop novel nomograms for predicting cancer-specific survival (CSS) according to different primary cancer locations. METHODS: 1160 PDAC patients were retrospectively enrolled and assigned to training and test sets with each set divided into PHC and PBTC groups. Comparative analysis of clinicopathologic characteristics, survival analysis, and multivariate analysis were performed. Independent factors were identified and used for constructing nomograms. The performance of the nomograms was validated in the test set. RESULTS: Primary tumor location was an independent risk factor for prognosis of PDAC after surgery. Specially, gender, fasting blood glucose, and preoperative cancer antigen 19-9 were significantly associated with prognosis of PHC, whereas age, body mass index, and lymph nodes were significantly correlated with the prognosis of PBTC. A significant difference in prognosis was found between PHC and PBTC in stage Ia and stage III. Three nomograms were established for predicting the prognosis for PDAC, PHC, and PBTC. Notably, these nomograms were calibrated modestly (c-indexes of 0.690 for PDAC, 0.669 for PHC, and 0.704 for PBTC), presented better accuracy and reliability than the 8(th) AJCC staging system, and achieved clinical validity. CONCLUSIONS: PHC and PBTC share the differential clinical-pathological characteristics and survival. The nomograms show good performance for predicting prognosis in PHC and PBTC. Therefore, these nomograms hold potential as novel approaches for predicting survival of PHC and PBTC patients after surgery. |
format | Online Article Text |
id | pubmed-8103839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81038392021-05-08 Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations Li, Ge Liao, Cheng-Yu Chen, Jiang-Zhi Huang, Long Yang, Can Tian, Yi-Feng Wang, Yi-Ting Du, Qiang Zhan, Qian Chen, Yan-Ling Chen, Shi Front Oncol Oncology BACKGROUND/AIMS: Pancreatic ductal adenocarcinoma (PDAC) can occur in different parts of the pancreas. This study aimed to identify clinicopathological characteristics independently correlated with the prognosis of PDAC of the pancreatic head/uncinate (PHC) or body-tail (PBTC), and to develop novel nomograms for predicting cancer-specific survival (CSS) according to different primary cancer locations. METHODS: 1160 PDAC patients were retrospectively enrolled and assigned to training and test sets with each set divided into PHC and PBTC groups. Comparative analysis of clinicopathologic characteristics, survival analysis, and multivariate analysis were performed. Independent factors were identified and used for constructing nomograms. The performance of the nomograms was validated in the test set. RESULTS: Primary tumor location was an independent risk factor for prognosis of PDAC after surgery. Specially, gender, fasting blood glucose, and preoperative cancer antigen 19-9 were significantly associated with prognosis of PHC, whereas age, body mass index, and lymph nodes were significantly correlated with the prognosis of PBTC. A significant difference in prognosis was found between PHC and PBTC in stage Ia and stage III. Three nomograms were established for predicting the prognosis for PDAC, PHC, and PBTC. Notably, these nomograms were calibrated modestly (c-indexes of 0.690 for PDAC, 0.669 for PHC, and 0.704 for PBTC), presented better accuracy and reliability than the 8(th) AJCC staging system, and achieved clinical validity. CONCLUSIONS: PHC and PBTC share the differential clinical-pathological characteristics and survival. The nomograms show good performance for predicting prognosis in PHC and PBTC. Therefore, these nomograms hold potential as novel approaches for predicting survival of PHC and PBTC patients after surgery. Frontiers Media S.A. 2021-04-23 /pmc/articles/PMC8103839/ /pubmed/33968745 http://dx.doi.org/10.3389/fonc.2021.646082 Text en Copyright © 2021 Li, Liao, Chen, Huang, Yang, Tian, Wang, Du, Zhan, Chen and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Li, Ge Liao, Cheng-Yu Chen, Jiang-Zhi Huang, Long Yang, Can Tian, Yi-Feng Wang, Yi-Ting Du, Qiang Zhan, Qian Chen, Yan-Ling Chen, Shi Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations |
title | Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations |
title_full | Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations |
title_fullStr | Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations |
title_full_unstemmed | Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations |
title_short | Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer Locations |
title_sort | construction and validation of novel nomograms for predicting prognosis of pancreatic ductal adenocarcinoma after surgery according to different primary cancer locations |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103839/ https://www.ncbi.nlm.nih.gov/pubmed/33968745 http://dx.doi.org/10.3389/fonc.2021.646082 |
work_keys_str_mv | AT lige constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT liaochengyu constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT chenjiangzhi constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT huanglong constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT yangcan constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT tianyifeng constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT wangyiting constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT duqiang constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT zhanqian constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT chenyanling constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations AT chenshi constructionandvalidationofnovelnomogramsforpredictingprognosisofpancreaticductaladenocarcinomaaftersurgeryaccordingtodifferentprimarycancerlocations |