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Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting

PURPOSE: Distant metastasis (DM) and neoadjuvant treatment response prediction remain critical challenges in the management of locally advanced rectal cancer (LARC). The aim of this study was to investigate the clinical relevance of viable circulating tumor cells (CTCs) for DM or response in patient...

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Autores principales: Liu, Wen‐Yang, Zhang, Wen, Tang, Yuan, Chen, Si‐Lin, Li, Ning, Lei, Jun‐Qin, Shi, Jin‐Ming, Wang, Shu‐Lian, Li, Ye‐Xiong, Zhang, Kai‐Tai, Jin, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242869/
https://www.ncbi.nlm.nih.gov/pubmed/37014817
http://dx.doi.org/10.1002/cam4.5860
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author Liu, Wen‐Yang
Zhang, Wen
Tang, Yuan
Chen, Si‐Lin
Li, Ning
Lei, Jun‐Qin
Shi, Jin‐Ming
Wang, Shu‐Lian
Li, Ye‐Xiong
Zhang, Kai‐Tai
Jin, Jing
author_facet Liu, Wen‐Yang
Zhang, Wen
Tang, Yuan
Chen, Si‐Lin
Li, Ning
Lei, Jun‐Qin
Shi, Jin‐Ming
Wang, Shu‐Lian
Li, Ye‐Xiong
Zhang, Kai‐Tai
Jin, Jing
author_sort Liu, Wen‐Yang
collection PubMed
description PURPOSE: Distant metastasis (DM) and neoadjuvant treatment response prediction remain critical challenges in the management of locally advanced rectal cancer (LARC). The aim of this study was to investigate the clinical relevance of viable circulating tumor cells (CTCs) for DM or response in patients with LARC in a neoadjuvant setting. METHODS: The detection of viable CTCs at different stages of treatment was planned for consecutive patients from a prospective trial. The Kaplan–Meier method, Cox proportional hazards model, and logistic regression model were utilized to analyze factors associated with DM or pathological complete response (pCR) and clinical complete response (cCR). RESULTS: Between December 2016 and July 2018, peripheral blood samples from 83 patients were collected before any treatment (median follow‐up time, 49.3 months). CTCs were present in 76 of 83 patients (91.6%) at baseline, and more than three CTCs detected in the blood sample was considered high risk. Only the CTC risk group was significantly associated with 3‐year metastasis‐free survival (MFS) (high risk vs. low risk, 57.1% (95% CI, 41.6–72.6) vs. 78.3% (95% CI, 65.8–90.8), p = 0.018, log‐rank test). When all the important variables were entered into the Cox model, the CTC risk group remained the only significant independent factor for DM (hazard ratio (HR), 2.74; 95% CI, 1.17–6.45, p = 0.021). The pCR and continuous cCR rates were higher in patients with a decreased number of CTCs of more than one after radiotherapy (HR, 4.00; 95% CI, 1.09–14.71, P = 0.037). CONCLUSIONS: The dynamic detection of viable CTCs may strengthen pretreatment risk assessment and postradiotherapy decision making for LARC. This observation requires further validation in a prospective study.
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spelling pubmed-102428692023-06-07 Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting Liu, Wen‐Yang Zhang, Wen Tang, Yuan Chen, Si‐Lin Li, Ning Lei, Jun‐Qin Shi, Jin‐Ming Wang, Shu‐Lian Li, Ye‐Xiong Zhang, Kai‐Tai Jin, Jing Cancer Med RESEARCH ARTICLES PURPOSE: Distant metastasis (DM) and neoadjuvant treatment response prediction remain critical challenges in the management of locally advanced rectal cancer (LARC). The aim of this study was to investigate the clinical relevance of viable circulating tumor cells (CTCs) for DM or response in patients with LARC in a neoadjuvant setting. METHODS: The detection of viable CTCs at different stages of treatment was planned for consecutive patients from a prospective trial. The Kaplan–Meier method, Cox proportional hazards model, and logistic regression model were utilized to analyze factors associated with DM or pathological complete response (pCR) and clinical complete response (cCR). RESULTS: Between December 2016 and July 2018, peripheral blood samples from 83 patients were collected before any treatment (median follow‐up time, 49.3 months). CTCs were present in 76 of 83 patients (91.6%) at baseline, and more than three CTCs detected in the blood sample was considered high risk. Only the CTC risk group was significantly associated with 3‐year metastasis‐free survival (MFS) (high risk vs. low risk, 57.1% (95% CI, 41.6–72.6) vs. 78.3% (95% CI, 65.8–90.8), p = 0.018, log‐rank test). When all the important variables were entered into the Cox model, the CTC risk group remained the only significant independent factor for DM (hazard ratio (HR), 2.74; 95% CI, 1.17–6.45, p = 0.021). The pCR and continuous cCR rates were higher in patients with a decreased number of CTCs of more than one after radiotherapy (HR, 4.00; 95% CI, 1.09–14.71, P = 0.037). CONCLUSIONS: The dynamic detection of viable CTCs may strengthen pretreatment risk assessment and postradiotherapy decision making for LARC. This observation requires further validation in a prospective study. John Wiley and Sons Inc. 2023-04-04 /pmc/articles/PMC10242869/ /pubmed/37014817 http://dx.doi.org/10.1002/cam4.5860 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Liu, Wen‐Yang
Zhang, Wen
Tang, Yuan
Chen, Si‐Lin
Li, Ning
Lei, Jun‐Qin
Shi, Jin‐Ming
Wang, Shu‐Lian
Li, Ye‐Xiong
Zhang, Kai‐Tai
Jin, Jing
Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting
title Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting
title_full Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting
title_fullStr Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting
title_full_unstemmed Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting
title_short Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting
title_sort metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242869/
https://www.ncbi.nlm.nih.gov/pubmed/37014817
http://dx.doi.org/10.1002/cam4.5860
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