The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study

Abstract Background The tumour-stroma ratio (TSR) is recognized as a practical prognostic factor in colorectal cancer. However, TSR assessment generally utilizes surgical specimens. This study aims to investigate whether the TSR evaluated from preoperative biopsy specimens by a semi-automatic quanti...

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Main Authors: Yanting Liang, Yaxi Zhu, Huan Lin, Shenyan Zhang, Suyun Li, Yanqi Huang, Chen Liu, Jinrong Qu, Changhong Liang, Ke Zhao, Zhenhui Li, Zaiyi Liu
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-021-08516-x
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spelling doaj-416072fe9f684111bccba338fb82593b2021-06-27T11:46:56ZengBMCBMC Cancer1471-24072021-06-0121111110.1186/s12885-021-08516-xThe value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control studyYanting Liang0Yaxi Zhu1Huan Lin2Shenyan Zhang3Suyun Li4Yanqi Huang5Chen Liu6Jinrong Qu7Changhong Liang8Ke Zhao9Zhenhui Li10Zaiyi Liu11Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen UniversitySchool of Medicine, South China University of TechnologyDepartment of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen UniversitySchool of Medicine, South China University of TechnologyDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesSchool of Medicine, South China University of TechnologyDepartment of Radiology, Yunnan Cancer Center, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesAbstract Background The tumour-stroma ratio (TSR) is recognized as a practical prognostic factor in colorectal cancer. However, TSR assessment generally utilizes surgical specimens. This study aims to investigate whether the TSR evaluated from preoperative biopsy specimens by a semi-automatic quantification method can predict the response after neoadjuvant chemoradiotherapy (nCRT) of patients with locally advanced rectal cancer (LARC). Methods A total of 248 consecutive patients diagnosed with LARC and treated with nCRT followed by resection were included. Haematoxylin and eosin (HE)-stained sections of biopsy specimens were collected, and the TSR was evaluated by a semi-automatic quantification method and was divided into three categories, using the cut-offs determined in the whole cohort to balance the proportion of patients in each category. The response to nCRT was evaluated on the primary tumour resection specimen by an expert pathologist using the four-tier tumour regression grade (TRG) system. Results The TSR can discriminate patients that are major-responders (TRG 0–1) from patients that are non-responders (TRG 2–3). Patients were divided into stroma-low (33.5%), stroma-intermediate (33.9%), and stroma-high (32.7%) groups using 56.3 and 72.8% as the cutoffs. In the stroma-low group, 58 (69.9%) patients were major-responders, and only 39 (48.1%) patients were considered major-responders in the stroma-high group (P = 0.018). Multivariate analysis showed that the TSR was the only pre-treatment predictor of response to nCRT (adjusted odds ratio 0.40, 95% confidence interval 0.21–0.76, P = 0.002). Conclusion An elevated TSR in preoperative biopsy specimens is an independent predictor of nCRT response in LARC. This semi-automatic quantified TSR could be easily translated into routine pathologic assessment due to its reproducibility and reliability.https://doi.org/10.1186/s12885-021-08516-xWhole-slide imagesTumour-stroma ratioLocally advanced rectal cancerNeoadjuvant chemoradiotherapy responseTumour regression grade
collection DOAJ
language English
format Article
sources DOAJ
author Yanting Liang
Yaxi Zhu
Huan Lin
Shenyan Zhang
Suyun Li
Yanqi Huang
Chen Liu
Jinrong Qu
Changhong Liang
Ke Zhao
Zhenhui Li
Zaiyi Liu
spellingShingle Yanting Liang
Yaxi Zhu
Huan Lin
Shenyan Zhang
Suyun Li
Yanqi Huang
Chen Liu
Jinrong Qu
Changhong Liang
Ke Zhao
Zhenhui Li
Zaiyi Liu
The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
BMC Cancer
Whole-slide images
Tumour-stroma ratio
Locally advanced rectal cancer
Neoadjuvant chemoradiotherapy response
Tumour regression grade
author_facet Yanting Liang
Yaxi Zhu
Huan Lin
Shenyan Zhang
Suyun Li
Yanqi Huang
Chen Liu
Jinrong Qu
Changhong Liang
Ke Zhao
Zhenhui Li
Zaiyi Liu
author_sort Yanting Liang
title The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
title_short The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
title_full The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
title_fullStr The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
title_full_unstemmed The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
title_sort value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2021-06-01
description Abstract Background The tumour-stroma ratio (TSR) is recognized as a practical prognostic factor in colorectal cancer. However, TSR assessment generally utilizes surgical specimens. This study aims to investigate whether the TSR evaluated from preoperative biopsy specimens by a semi-automatic quantification method can predict the response after neoadjuvant chemoradiotherapy (nCRT) of patients with locally advanced rectal cancer (LARC). Methods A total of 248 consecutive patients diagnosed with LARC and treated with nCRT followed by resection were included. Haematoxylin and eosin (HE)-stained sections of biopsy specimens were collected, and the TSR was evaluated by a semi-automatic quantification method and was divided into three categories, using the cut-offs determined in the whole cohort to balance the proportion of patients in each category. The response to nCRT was evaluated on the primary tumour resection specimen by an expert pathologist using the four-tier tumour regression grade (TRG) system. Results The TSR can discriminate patients that are major-responders (TRG 0–1) from patients that are non-responders (TRG 2–3). Patients were divided into stroma-low (33.5%), stroma-intermediate (33.9%), and stroma-high (32.7%) groups using 56.3 and 72.8% as the cutoffs. In the stroma-low group, 58 (69.9%) patients were major-responders, and only 39 (48.1%) patients were considered major-responders in the stroma-high group (P = 0.018). Multivariate analysis showed that the TSR was the only pre-treatment predictor of response to nCRT (adjusted odds ratio 0.40, 95% confidence interval 0.21–0.76, P = 0.002). Conclusion An elevated TSR in preoperative biopsy specimens is an independent predictor of nCRT response in LARC. This semi-automatic quantified TSR could be easily translated into routine pathologic assessment due to its reproducibility and reliability.
topic Whole-slide images
Tumour-stroma ratio
Locally advanced rectal cancer
Neoadjuvant chemoradiotherapy response
Tumour regression grade
url https://doi.org/10.1186/s12885-021-08516-x
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