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Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits
AIM: Tumor deposits (TDs) are an aggressive hallmark of rectal cancer, but their prognostic value has not been addressed in current staging systems. This study aimed to construct and validate a prognostic nomogram for rectal cancer patients with TDs. METHODS: A total of 1,388 stage III–IV rectal can...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847760/ https://www.ncbi.nlm.nih.gov/pubmed/35186745 http://dx.doi.org/10.3389/fonc.2022.808557 |
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author | Zhong, Xiaohong Wang, Lei Shao, Lingdong Zhang, Xueqing Hong, Liang Chen, Gang Wu, Junxin |
author_facet | Zhong, Xiaohong Wang, Lei Shao, Lingdong Zhang, Xueqing Hong, Liang Chen, Gang Wu, Junxin |
author_sort | Zhong, Xiaohong |
collection | PubMed |
description | AIM: Tumor deposits (TDs) are an aggressive hallmark of rectal cancer, but their prognostic value has not been addressed in current staging systems. This study aimed to construct and validate a prognostic nomogram for rectal cancer patients with TDs. METHODS: A total of 1,388 stage III–IV rectal cancer patients who underwent radical surgical resection from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed to identify the clinical value of TDs. TD-positive rectal cancer patients in the SEER database were used as the training set to construct a prognostic model, which was validated by Fujian Cancer Hospital. Three models were constructed to predict the prognosis of rectal cancer patients with TDs, including the least absolute shrinkage and selection operator regression (LASSO, model 1), backward stepwise regression (BSR, model 2), and LASSO followed by BSR (model 3). A nomogram was established among the three models. RESULTS: In the entire cohort, TD was also identified as an independent risk factor for overall survival (OS), even after adjusting for baseline factors, stage, other risk factors, treatments, and all the included variables in this study (all P < 0.05). Among patients with TDs, model 3 exhibited a higher C-index and area under the curves (AUCs) at 3, 4, and 5 years compared with the American Joint Committee on Cancer staging system both in the training and validation sets (all P < 0.05). The nomogram obtained from model 3 showed good consistency based on the calibration curves and excellent clinical applicability by the decision curve analysis curves. In addition, patients were divided into two subgroups with apparently different OS according to the current nomogram (both P < 0.05), and only patients in the high-risk subgroup were found to benefit from postoperative radiotherapy (P < 0.05). CONCLUSION: We identified a novel nomogram that could not only predict the prognosis of rectal cancer patients with TDs but also provide reliable evidence for clinical decision-making. |
format | Online Article Text |
id | pubmed-8847760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88477602022-02-17 Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits Zhong, Xiaohong Wang, Lei Shao, Lingdong Zhang, Xueqing Hong, Liang Chen, Gang Wu, Junxin Front Oncol Oncology AIM: Tumor deposits (TDs) are an aggressive hallmark of rectal cancer, but their prognostic value has not been addressed in current staging systems. This study aimed to construct and validate a prognostic nomogram for rectal cancer patients with TDs. METHODS: A total of 1,388 stage III–IV rectal cancer patients who underwent radical surgical resection from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed to identify the clinical value of TDs. TD-positive rectal cancer patients in the SEER database were used as the training set to construct a prognostic model, which was validated by Fujian Cancer Hospital. Three models were constructed to predict the prognosis of rectal cancer patients with TDs, including the least absolute shrinkage and selection operator regression (LASSO, model 1), backward stepwise regression (BSR, model 2), and LASSO followed by BSR (model 3). A nomogram was established among the three models. RESULTS: In the entire cohort, TD was also identified as an independent risk factor for overall survival (OS), even after adjusting for baseline factors, stage, other risk factors, treatments, and all the included variables in this study (all P < 0.05). Among patients with TDs, model 3 exhibited a higher C-index and area under the curves (AUCs) at 3, 4, and 5 years compared with the American Joint Committee on Cancer staging system both in the training and validation sets (all P < 0.05). The nomogram obtained from model 3 showed good consistency based on the calibration curves and excellent clinical applicability by the decision curve analysis curves. In addition, patients were divided into two subgroups with apparently different OS according to the current nomogram (both P < 0.05), and only patients in the high-risk subgroup were found to benefit from postoperative radiotherapy (P < 0.05). CONCLUSION: We identified a novel nomogram that could not only predict the prognosis of rectal cancer patients with TDs but also provide reliable evidence for clinical decision-making. Frontiers Media S.A. 2022-02-02 /pmc/articles/PMC8847760/ /pubmed/35186745 http://dx.doi.org/10.3389/fonc.2022.808557 Text en Copyright © 2022 Zhong, Wang, Shao, Zhang, Hong, Chen and Wu 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 Zhong, Xiaohong Wang, Lei Shao, Lingdong Zhang, Xueqing Hong, Liang Chen, Gang Wu, Junxin Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits |
title | Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits |
title_full | Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits |
title_fullStr | Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits |
title_full_unstemmed | Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits |
title_short | Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits |
title_sort | prognostic nomogram for rectal cancer patients with tumor deposits |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847760/ https://www.ncbi.nlm.nih.gov/pubmed/35186745 http://dx.doi.org/10.3389/fonc.2022.808557 |
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