Cargando…
Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer
PURPOSE: Preoperative neoadjuvant therapy is standard before surgery for locally advanced rectal cancer in current clinical treatment. However, patients with the same clinical TNM stage before treatment vary in clinical outcomes. More and more studies noted that pathological findings after preoperat...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910108/ https://www.ncbi.nlm.nih.gov/pubmed/33654427 http://dx.doi.org/10.2147/CMAR.S296593 |
_version_ | 1783656061606035456 |
---|---|
author | Liu, Shuai He, Fang Guan, Ying Ju, Huai-Qiang Ma, Yan Li, Zhen-Hui Fan, Xin-Juan Wan, Xiang-Bo Zheng, Jian Pang, Xiao-Lin Ma, Teng-Hui |
author_facet | Liu, Shuai He, Fang Guan, Ying Ju, Huai-Qiang Ma, Yan Li, Zhen-Hui Fan, Xin-Juan Wan, Xiang-Bo Zheng, Jian Pang, Xiao-Lin Ma, Teng-Hui |
author_sort | Liu, Shuai |
collection | PubMed |
description | PURPOSE: Preoperative neoadjuvant therapy is standard before surgery for locally advanced rectal cancer in current clinical treatment. However, patients with the same clinical TNM stage before treatment vary in clinical outcomes. More and more studies noted that pathological findings after preoperative neoadjuvant therapy are better prognostic factors to determine prognosis than clinical TNM stage in patients with locally advanced rectal cancer. The purpose of this study is to develop and validate models based on pathological findings to predict overall survival (OS) and disease-free survival (DFS). PATIENTS AND METHODS: A total of 3026 patients from two hospitals were included. The endpoint was OS and DFS. Significant predictors of OS on multivariate analysis were used to establish the nomogram. RESULTS: The Harrell’s C index for OS prediction was 0.72 (95% confidence interval [CI], 0.68 to 0.77) in the training cohort, 0.66 (95% CI, 0.60 to 0.72) and 0.68 (95% CI, 0.64 to 0.73) in the internal and external validation cohorts. Using this nomogram, high- and low-risk groups for OS were defined in the training cohort. The 3-year OS was 78.1% (95% CI: 72.4–84.2%) for the high-risk group and 95% (95% CI: 93.6–96.5%) in the low-risk group (HR: 4.42, 95% CI: 3.22–6.05; P<0.001). This finding was also applied in the two external cohorts. Similarly, a nomogram that contained the same indices was developed and validated to predict for DFS. CONCLUSION: Nomograms based on pathological findings are a reliable tool to predict 3-year OS and DFS rate in patients with locally advanced rectal cancer. |
format | Online Article Text |
id | pubmed-7910108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-79101082021-03-01 Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer Liu, Shuai He, Fang Guan, Ying Ju, Huai-Qiang Ma, Yan Li, Zhen-Hui Fan, Xin-Juan Wan, Xiang-Bo Zheng, Jian Pang, Xiao-Lin Ma, Teng-Hui Cancer Manag Res Original Research PURPOSE: Preoperative neoadjuvant therapy is standard before surgery for locally advanced rectal cancer in current clinical treatment. However, patients with the same clinical TNM stage before treatment vary in clinical outcomes. More and more studies noted that pathological findings after preoperative neoadjuvant therapy are better prognostic factors to determine prognosis than clinical TNM stage in patients with locally advanced rectal cancer. The purpose of this study is to develop and validate models based on pathological findings to predict overall survival (OS) and disease-free survival (DFS). PATIENTS AND METHODS: A total of 3026 patients from two hospitals were included. The endpoint was OS and DFS. Significant predictors of OS on multivariate analysis were used to establish the nomogram. RESULTS: The Harrell’s C index for OS prediction was 0.72 (95% confidence interval [CI], 0.68 to 0.77) in the training cohort, 0.66 (95% CI, 0.60 to 0.72) and 0.68 (95% CI, 0.64 to 0.73) in the internal and external validation cohorts. Using this nomogram, high- and low-risk groups for OS were defined in the training cohort. The 3-year OS was 78.1% (95% CI: 72.4–84.2%) for the high-risk group and 95% (95% CI: 93.6–96.5%) in the low-risk group (HR: 4.42, 95% CI: 3.22–6.05; P<0.001). This finding was also applied in the two external cohorts. Similarly, a nomogram that contained the same indices was developed and validated to predict for DFS. CONCLUSION: Nomograms based on pathological findings are a reliable tool to predict 3-year OS and DFS rate in patients with locally advanced rectal cancer. Dove 2021-02-22 /pmc/articles/PMC7910108/ /pubmed/33654427 http://dx.doi.org/10.2147/CMAR.S296593 Text en © 2021 Liu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Liu, Shuai He, Fang Guan, Ying Ju, Huai-Qiang Ma, Yan Li, Zhen-Hui Fan, Xin-Juan Wan, Xiang-Bo Zheng, Jian Pang, Xiao-Lin Ma, Teng-Hui Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer |
title | Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer |
title_full | Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer |
title_fullStr | Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer |
title_full_unstemmed | Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer |
title_short | Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer |
title_sort | pathologic-based nomograms for predicting overall survival and disease-free survival among patients with locally advanced rectal cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910108/ https://www.ncbi.nlm.nih.gov/pubmed/33654427 http://dx.doi.org/10.2147/CMAR.S296593 |
work_keys_str_mv | AT liushuai pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT hefang pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT guanying pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT juhuaiqiang pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT mayan pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT lizhenhui pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT fanxinjuan pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT wanxiangbo pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT zhengjian pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT pangxiaolin pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer AT matenghui pathologicbasednomogramsforpredictingoverallsurvivalanddiseasefreesurvivalamongpatientswithlocallyadvancedrectalcancer |