Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density

Yao Xu,1,2,* Xiaoying Lou,3,* Yanting Liang,2,4,* Shenyan Zhang,3 Shangqing Yang,5 Qicong Chen,6 Zeyan Xu,1,2 Minning Zhao,2,7 Zhenhui Li,8,* Ke Zhao,2 Zaiyi Liu1,2 1School of Medicine, South China University of Technology, Guangzhou, 510006, People’s Republic of Chin...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Xu Y, Lou X, Liang Y, Zhang S, Yang S, Chen Q, Xu Z, Zhao M, Li Z, Zhao K, Liu Z
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2021
Materias:
Acceso en línea:https://doaj.org/article/2213ea1d606f4c1885efea2c68a532fd
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:2213ea1d606f4c1885efea2c68a532fd
record_format dspace
institution DOAJ
collection DOAJ
language EN
topic tumor-infiltrating lymphocytes
locally advanced rectal cancer
neoadjuvant chemoradiotherapy response
tumor regression grade
digital pathology
Pathology
RB1-214
Therapeutics. Pharmacology
RM1-950
spellingShingle tumor-infiltrating lymphocytes
locally advanced rectal cancer
neoadjuvant chemoradiotherapy response
tumor regression grade
digital pathology
Pathology
RB1-214
Therapeutics. Pharmacology
RM1-950
Xu Y
Lou X
Liang Y
Zhang S
Yang S
Chen Q
Xu Z
Zhao M
Li Z
Zhao K
Liu Z
Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density
description Yao Xu,1,2,* Xiaoying Lou,3,* Yanting Liang,2,4,* Shenyan Zhang,3 Shangqing Yang,5 Qicong Chen,6 Zeyan Xu,1,2 Minning Zhao,2,7 Zhenhui Li,8,* Ke Zhao,2 Zaiyi Liu1,2 1School of Medicine, South China University of Technology, Guangzhou, 510006, People’s Republic of China; 2Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China; 3Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510665, People’s Republic of China; 4Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China; 5School of Life Science and Technology, Xidian University, Xian, 710071, People’s Republic of China; 6Institute of Computing Science and Technology, Guangzhou University, Guangzhou, 510006, People’s Republic of China; 7The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510080, People’s Republic of China; 8Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zaiyi LiuDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, People’s Republic of ChinaEmail liuzaiyi@gdph.org.cnKe ZhaoDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, People’s Republic of ChinaEmail zhaoke@gdph.org.cnPurpose: Accumulating evidence revealed the predictive value of tumor-infiltrating lymphocytes (TILs) for neoadjuvant chemoradiotherapy (nCRT) response in solid tumors. This study quantified TILs density using hematoxylin and eosin (H&E) stained whole-slide images (WSIs) and investigated the predictive value of TILs density on nCRT response in locally advanced rectal cancer (LARC) patients.Patients and Methods: Two hundred and ten patients diagnosed with LARC were enrolled in this study. The density of TILs in the stroma region was quantified by a semi-automatic method in WSIs. Patients were stratified into low-TILs and high-TILs groups using the median value as the threshold. The tumor regression grade (TRG) was used to assess the response to nCRT in tumor resected specimens. Based on TRG, patients were classified into major-responder (TRG 0– 1) and non-responder (TRG 2– 3) groups.Results: The TILs density was significantly correlated with the nCRT response. Specifically, patients with high-TILs tend to have a higher major-responder rate than the low-TILs group (63.8% vs 47.6%, P = 0.026). Univariate analysis showed the TILs density was a predictor for the nCRT response (high vs low, odds ratio [OR] =1.94, 95% confidence interval 1.12– 3.37, P = 0.019), and multivariate analysis further confirmed the correlation (adjusted odds ratio [AOR] = 2.41, 1.28– 4.56, P = 0.007).Conclusion: Patients with a high-TIL density have a higher major-responder rate than the low-TILs group, indicating patients with a strong immune response benefit more from nCRT. This semi-automatic method can facilitate the individualized preoperative prediction of the TRG for LARC patients before nCRT.Keywords: tumor-infiltrating lymphocytes, locally advanced rectal cancer, neoadjuvant chemoradiotherapy response, tumor regression grade, digital pathology
format article
author Xu Y
Lou X
Liang Y
Zhang S
Yang S
Chen Q
Xu Z
Zhao M
Li Z
Zhao K
Liu Z
author_facet Xu Y
Lou X
Liang Y
Zhang S
Yang S
Chen Q
Xu Z
Zhao M
Li Z
Zhao K
Liu Z
author_sort Xu Y
title Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density
title_short Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density
title_full Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density
title_fullStr Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density
title_full_unstemmed Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density
title_sort predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer using tumor-infiltrating lymphocytes density
publisher Dove Medical Press
publishDate 2021
url https://doaj.org/article/2213ea1d606f4c1885efea2c68a532fd
work_keys_str_mv AT xuy predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT loux predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT liangy predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT zhangs predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT yangs predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT chenq predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT xuz predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT zhaom predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT liz predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT zhaok predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
AT liuz predictingneoadjuvantchemoradiotherapyresponseinlocallyadvancedrectalcancerusingtumorinfiltratinglymphocytesdensity
_version_ 1718376369896816640
spelling oai:doaj.org-article:2213ea1d606f4c1885efea2c68a532fd2021-12-02T19:33:47ZPredicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density1178-7031https://doaj.org/article/2213ea1d606f4c1885efea2c68a532fd2021-11-01T00:00:00Zhttps://www.dovepress.com/predicting-neoadjuvant-chemoradiotherapy-response-in-locally-advanced--peer-reviewed-fulltext-article-JIRhttps://doaj.org/toc/1178-7031Yao Xu,1,2,* Xiaoying Lou,3,* Yanting Liang,2,4,* Shenyan Zhang,3 Shangqing Yang,5 Qicong Chen,6 Zeyan Xu,1,2 Minning Zhao,2,7 Zhenhui Li,8,* Ke Zhao,2 Zaiyi Liu1,2 1School of Medicine, South China University of Technology, Guangzhou, 510006, People’s Republic of China; 2Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China; 3Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510665, People’s Republic of China; 4Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China; 5School of Life Science and Technology, Xidian University, Xian, 710071, People’s Republic of China; 6Institute of Computing Science and Technology, Guangzhou University, Guangzhou, 510006, People’s Republic of China; 7The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510080, People’s Republic of China; 8Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zaiyi LiuDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, People’s Republic of ChinaEmail liuzaiyi@gdph.org.cnKe ZhaoDepartment of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, People’s Republic of ChinaEmail zhaoke@gdph.org.cnPurpose: Accumulating evidence revealed the predictive value of tumor-infiltrating lymphocytes (TILs) for neoadjuvant chemoradiotherapy (nCRT) response in solid tumors. This study quantified TILs density using hematoxylin and eosin (H&E) stained whole-slide images (WSIs) and investigated the predictive value of TILs density on nCRT response in locally advanced rectal cancer (LARC) patients.Patients and Methods: Two hundred and ten patients diagnosed with LARC were enrolled in this study. The density of TILs in the stroma region was quantified by a semi-automatic method in WSIs. Patients were stratified into low-TILs and high-TILs groups using the median value as the threshold. The tumor regression grade (TRG) was used to assess the response to nCRT in tumor resected specimens. Based on TRG, patients were classified into major-responder (TRG 0– 1) and non-responder (TRG 2– 3) groups.Results: The TILs density was significantly correlated with the nCRT response. Specifically, patients with high-TILs tend to have a higher major-responder rate than the low-TILs group (63.8% vs 47.6%, P = 0.026). Univariate analysis showed the TILs density was a predictor for the nCRT response (high vs low, odds ratio [OR] =1.94, 95% confidence interval 1.12– 3.37, P = 0.019), and multivariate analysis further confirmed the correlation (adjusted odds ratio [AOR] = 2.41, 1.28– 4.56, P = 0.007).Conclusion: Patients with a high-TIL density have a higher major-responder rate than the low-TILs group, indicating patients with a strong immune response benefit more from nCRT. This semi-automatic method can facilitate the individualized preoperative prediction of the TRG for LARC patients before nCRT.Keywords: tumor-infiltrating lymphocytes, locally advanced rectal cancer, neoadjuvant chemoradiotherapy response, tumor regression grade, digital pathologyXu YLou XLiang YZhang SYang SChen QXu ZZhao MLi ZZhao KLiu ZDove Medical Pressarticletumor-infiltrating lymphocyteslocally advanced rectal cancerneoadjuvant chemoradiotherapy responsetumor regression gradedigital pathologyPathologyRB1-214Therapeutics. PharmacologyRM1-950ENJournal of Inflammation Research, Vol Volume 14, Pp 5891-5899 (2021)