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Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer
Distant metastasis (DM) is the main cause of treatment failure in locally advanced rectal cancer. Adjuvant chemotherapy is usually used for distant control. However, not all patients can benefit from adjuvant chemotherapy, and particularly, some patients may even get worse outcomes after the treatme...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452897/ https://www.ncbi.nlm.nih.gov/pubmed/32855399 http://dx.doi.org/10.1038/s41467-020-18162-9 |
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author | Liu, Zhenyu Meng, Xiaochun Zhang, Hongmei Li, Zhenhui Liu, Jiangang Sun, Kai Meng, Yankai Dai, Weixing Xie, Peiyi Ding, Yingying Wang, Meiyun Cai, Guoxiang Tian, Jie |
author_facet | Liu, Zhenyu Meng, Xiaochun Zhang, Hongmei Li, Zhenhui Liu, Jiangang Sun, Kai Meng, Yankai Dai, Weixing Xie, Peiyi Ding, Yingying Wang, Meiyun Cai, Guoxiang Tian, Jie |
author_sort | Liu, Zhenyu |
collection | PubMed |
description | Distant metastasis (DM) is the main cause of treatment failure in locally advanced rectal cancer. Adjuvant chemotherapy is usually used for distant control. However, not all patients can benefit from adjuvant chemotherapy, and particularly, some patients may even get worse outcomes after the treatment. We develop and validate an MRI-based radiomic signature (RS) for prediction of DM within a multicenter dataset. The RS is proved to be an independent prognostic factor as it not only demonstrates good accuracy for discriminating patients into high and low risk of DM in all the four cohorts, but also outperforms clinical models. Within the stratified analysis, good chemotherapy efficacy is observed for patients with pN2 disease and low RS, whereas poor chemotherapy efficacy is detected in patients with pT1–2 or pN0 disease and high RS. The RS may help individualized treatment planning to select patients who may benefit from adjuvant chemotherapy for distant control. |
format | Online Article Text |
id | pubmed-7452897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74528972020-09-02 Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer Liu, Zhenyu Meng, Xiaochun Zhang, Hongmei Li, Zhenhui Liu, Jiangang Sun, Kai Meng, Yankai Dai, Weixing Xie, Peiyi Ding, Yingying Wang, Meiyun Cai, Guoxiang Tian, Jie Nat Commun Article Distant metastasis (DM) is the main cause of treatment failure in locally advanced rectal cancer. Adjuvant chemotherapy is usually used for distant control. However, not all patients can benefit from adjuvant chemotherapy, and particularly, some patients may even get worse outcomes after the treatment. We develop and validate an MRI-based radiomic signature (RS) for prediction of DM within a multicenter dataset. The RS is proved to be an independent prognostic factor as it not only demonstrates good accuracy for discriminating patients into high and low risk of DM in all the four cohorts, but also outperforms clinical models. Within the stratified analysis, good chemotherapy efficacy is observed for patients with pN2 disease and low RS, whereas poor chemotherapy efficacy is detected in patients with pT1–2 or pN0 disease and high RS. The RS may help individualized treatment planning to select patients who may benefit from adjuvant chemotherapy for distant control. Nature Publishing Group UK 2020-08-27 /pmc/articles/PMC7452897/ /pubmed/32855399 http://dx.doi.org/10.1038/s41467-020-18162-9 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Zhenyu Meng, Xiaochun Zhang, Hongmei Li, Zhenhui Liu, Jiangang Sun, Kai Meng, Yankai Dai, Weixing Xie, Peiyi Ding, Yingying Wang, Meiyun Cai, Guoxiang Tian, Jie Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer |
title | Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer |
title_full | Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer |
title_fullStr | Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer |
title_full_unstemmed | Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer |
title_short | Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer |
title_sort | predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452897/ https://www.ncbi.nlm.nih.gov/pubmed/32855399 http://dx.doi.org/10.1038/s41467-020-18162-9 |
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