Cargando…
Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer
Patients with pathologic complete response (pCR) achievement can consider local excision or “watch and wait” strategy instead of a radical surgery. This study analyzed the predictive factors of pCR in rectal cancer patients who underwent radical operation after neoadjuvant chemoradiotherapy (nCRT)....
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065005/ https://www.ncbi.nlm.nih.gov/pubmed/35504888 http://dx.doi.org/10.1038/s41598-022-10974-7 |
_version_ | 1784699490043691008 |
---|---|
author | Shin, Jung Kyong Huh, Jung Wook Lee, Woo Yong Yun, Seong Hyeon Kim, Hee Cheol Cho, Yong Beom Park, Yoon Ah |
author_facet | Shin, Jung Kyong Huh, Jung Wook Lee, Woo Yong Yun, Seong Hyeon Kim, Hee Cheol Cho, Yong Beom Park, Yoon Ah |
author_sort | Shin, Jung Kyong |
collection | PubMed |
description | Patients with pathologic complete response (pCR) achievement can consider local excision or “watch and wait” strategy instead of a radical surgery. This study analyzed the predictive factors of pCR in rectal cancer patients who underwent radical operation after neoadjuvant chemoradiotherapy (nCRT). This study also analyzed the recurrence patterns in patients who achieved pCR and the oncologic outcomes and prognostic factors by ypStage. Between 2000 and 2013, 1,089 consecutive rectal cancer patients who underwent radical resection after nCRT were analyzed. These patients were classified into two groups according to pCR. The clinicopathologic and oncologic outcomes were analyzed and compared between the two groups. Multivariate analysis was conducted on factors related to pCR. The proportion of patients achieving pCR was 18.2% (n = 198). The pCR group demonstrated earlier clinical T and N stages, smaller tumor size, better differentiation, and a lower percentage of circumferential resection margin (CRM) involvement than did the non-pCR group. The prognostic factors associated with poorer disease-free survival were high preoperative carcinoembryonic antigen levels, non-pCR, poor histology, lymphatic/perineural invasion, and involvement of CRM. Multivariate analysis revealed that clinical node negativity, tumor size < 4 cm, and well differentiation were significant independent clinical predictors for achieving pCR. Patients with pCR displayed better long-term outcomes than those with non-pCR. The pCR-prediction model, based on predictive factors, is potentially useful for prognosis and for prescribing a treatment strategy in patients with advanced rectal cancer who need nCRT. |
format | Online Article Text |
id | pubmed-9065005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90650052022-05-04 Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer Shin, Jung Kyong Huh, Jung Wook Lee, Woo Yong Yun, Seong Hyeon Kim, Hee Cheol Cho, Yong Beom Park, Yoon Ah Sci Rep Article Patients with pathologic complete response (pCR) achievement can consider local excision or “watch and wait” strategy instead of a radical surgery. This study analyzed the predictive factors of pCR in rectal cancer patients who underwent radical operation after neoadjuvant chemoradiotherapy (nCRT). This study also analyzed the recurrence patterns in patients who achieved pCR and the oncologic outcomes and prognostic factors by ypStage. Between 2000 and 2013, 1,089 consecutive rectal cancer patients who underwent radical resection after nCRT were analyzed. These patients were classified into two groups according to pCR. The clinicopathologic and oncologic outcomes were analyzed and compared between the two groups. Multivariate analysis was conducted on factors related to pCR. The proportion of patients achieving pCR was 18.2% (n = 198). The pCR group demonstrated earlier clinical T and N stages, smaller tumor size, better differentiation, and a lower percentage of circumferential resection margin (CRM) involvement than did the non-pCR group. The prognostic factors associated with poorer disease-free survival were high preoperative carcinoembryonic antigen levels, non-pCR, poor histology, lymphatic/perineural invasion, and involvement of CRM. Multivariate analysis revealed that clinical node negativity, tumor size < 4 cm, and well differentiation were significant independent clinical predictors for achieving pCR. Patients with pCR displayed better long-term outcomes than those with non-pCR. The pCR-prediction model, based on predictive factors, is potentially useful for prognosis and for prescribing a treatment strategy in patients with advanced rectal cancer who need nCRT. Nature Publishing Group UK 2022-05-03 /pmc/articles/PMC9065005/ /pubmed/35504888 http://dx.doi.org/10.1038/s41598-022-10974-7 Text en © The Author(s) 2022 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/) . |
spellingShingle | Article Shin, Jung Kyong Huh, Jung Wook Lee, Woo Yong Yun, Seong Hyeon Kim, Hee Cheol Cho, Yong Beom Park, Yoon Ah Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer |
title | Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer |
title_full | Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer |
title_fullStr | Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer |
title_full_unstemmed | Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer |
title_short | Clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer |
title_sort | clinical prediction model of pathological response following neoadjuvant chemoradiotherapy for rectal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065005/ https://www.ncbi.nlm.nih.gov/pubmed/35504888 http://dx.doi.org/10.1038/s41598-022-10974-7 |
work_keys_str_mv | AT shinjungkyong clinicalpredictionmodelofpathologicalresponsefollowingneoadjuvantchemoradiotherapyforrectalcancer AT huhjungwook clinicalpredictionmodelofpathologicalresponsefollowingneoadjuvantchemoradiotherapyforrectalcancer AT leewooyong clinicalpredictionmodelofpathologicalresponsefollowingneoadjuvantchemoradiotherapyforrectalcancer AT yunseonghyeon clinicalpredictionmodelofpathologicalresponsefollowingneoadjuvantchemoradiotherapyforrectalcancer AT kimheecheol clinicalpredictionmodelofpathologicalresponsefollowingneoadjuvantchemoradiotherapyforrectalcancer AT choyongbeom clinicalpredictionmodelofpathologicalresponsefollowingneoadjuvantchemoradiotherapyforrectalcancer AT parkyoonah clinicalpredictionmodelofpathologicalresponsefollowingneoadjuvantchemoradiotherapyforrectalcancer |