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Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer

OBJECTIVES: The systemic status and local immune status, as determined by the neutrophil–lymphocyte ratio (NLR) or the lymphocyte ratio (LYMR) and tumor-infiltrating lymphocyte (TIL) count, respectively, have been suggested as predictors of the tumor response to neoadjuvant chemoradiotherapy (nCRT)...

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Autores principales: Xiao, Binyi, Peng, Jianhong, Zhang, Rongxin, Xu, Jing, Wang, Yongchun, Fang, Yujing, Lin, Junzhong, Pan, Zhizhong, Wu, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708200/
https://www.ncbi.nlm.nih.gov/pubmed/29225479
http://dx.doi.org/10.2147/CMAR.S150622
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author Xiao, Binyi
Peng, Jianhong
Zhang, Rongxin
Xu, Jing
Wang, Yongchun
Fang, Yujing
Lin, Junzhong
Pan, Zhizhong
Wu, Xiaojun
author_facet Xiao, Binyi
Peng, Jianhong
Zhang, Rongxin
Xu, Jing
Wang, Yongchun
Fang, Yujing
Lin, Junzhong
Pan, Zhizhong
Wu, Xiaojun
author_sort Xiao, Binyi
collection PubMed
description OBJECTIVES: The systemic status and local immune status, as determined by the neutrophil–lymphocyte ratio (NLR) or the lymphocyte ratio (LYMR) and tumor-infiltrating lymphocyte (TIL) count, respectively, have been suggested as predictors of the tumor response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer, although the utility of these measures remains controversial. We aimed to investigate the values of the LYMR, NLR and TIL count and their combinations (TIL–LYMR/TIL–NLR) in predicting pathologic complete response (pCR) after nCRT. PATIENTS AND METHODS: Pretreatment biopsy samples and data from the blood tests of 92 patients with rectal cancer who underwent curative resection after nCRT were retrospectively obtained. CD8+ TILs were immunostained using an antibody against CD8. The density of CD8+ TILs was recorded as the number of CD8+ T cells per square millimeter, and the results were classified as either “high” or “low”. The LYMR and NLR were calculated using pretreatment blood test data and categorized into either “high” or “low” groups. TIL–LYMR was graded as “low,” “mid” or “high” when neither, one or both the CD8+ TIL count and LYMR were “high,” respectively. TIL–NLR was graded similarly. The associations between TILs and LYMR, NLR and their combinations (TIL–LYMR/TIL–NLR) were evaluated. RESULTS: pCR was significantly associated with a high LYMR, a low NLR and increased chemotherapy cycles (P=0.039, P=0.043 and P=0.015, respectively), but not with the CD8+ TIL count or carcinoembryonic antigen (CEA) level (P=0.100 and P=0.590, respectively). Additionally, 40% of patients with high LYMR and 40.7% with low NLR achieved pCR, whereas only 19.7% with low LYMR and 20.3% with high NLR did so. When the combinations were assessed, TIL–LYMR showed a positive correlation with pCR (P=0.038), while no association between TIL–NLR and pCR was found (P=0.916). In multivariate analysis, TIL–LYMR remained an independent predictor of pCR (odds ratio [OR]=1.833, 95% confidence interval [CI]=1.069–3.142, P=0.028). CONCLUSION: High LYMR, low NLR and high TIL–LYMR at baseline are predictive of pCR to nCRT for patients with rectal cancer. These parameters may help identify pCR patients and provide additional information for therapeutic decision-making.
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spelling pubmed-57082002017-12-08 Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer Xiao, Binyi Peng, Jianhong Zhang, Rongxin Xu, Jing Wang, Yongchun Fang, Yujing Lin, Junzhong Pan, Zhizhong Wu, Xiaojun Cancer Manag Res Original Research OBJECTIVES: The systemic status and local immune status, as determined by the neutrophil–lymphocyte ratio (NLR) or the lymphocyte ratio (LYMR) and tumor-infiltrating lymphocyte (TIL) count, respectively, have been suggested as predictors of the tumor response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer, although the utility of these measures remains controversial. We aimed to investigate the values of the LYMR, NLR and TIL count and their combinations (TIL–LYMR/TIL–NLR) in predicting pathologic complete response (pCR) after nCRT. PATIENTS AND METHODS: Pretreatment biopsy samples and data from the blood tests of 92 patients with rectal cancer who underwent curative resection after nCRT were retrospectively obtained. CD8+ TILs were immunostained using an antibody against CD8. The density of CD8+ TILs was recorded as the number of CD8+ T cells per square millimeter, and the results were classified as either “high” or “low”. The LYMR and NLR were calculated using pretreatment blood test data and categorized into either “high” or “low” groups. TIL–LYMR was graded as “low,” “mid” or “high” when neither, one or both the CD8+ TIL count and LYMR were “high,” respectively. TIL–NLR was graded similarly. The associations between TILs and LYMR, NLR and their combinations (TIL–LYMR/TIL–NLR) were evaluated. RESULTS: pCR was significantly associated with a high LYMR, a low NLR and increased chemotherapy cycles (P=0.039, P=0.043 and P=0.015, respectively), but not with the CD8+ TIL count or carcinoembryonic antigen (CEA) level (P=0.100 and P=0.590, respectively). Additionally, 40% of patients with high LYMR and 40.7% with low NLR achieved pCR, whereas only 19.7% with low LYMR and 20.3% with high NLR did so. When the combinations were assessed, TIL–LYMR showed a positive correlation with pCR (P=0.038), while no association between TIL–NLR and pCR was found (P=0.916). In multivariate analysis, TIL–LYMR remained an independent predictor of pCR (odds ratio [OR]=1.833, 95% confidence interval [CI]=1.069–3.142, P=0.028). CONCLUSION: High LYMR, low NLR and high TIL–LYMR at baseline are predictive of pCR to nCRT for patients with rectal cancer. These parameters may help identify pCR patients and provide additional information for therapeutic decision-making. Dove Medical Press 2017-11-27 /pmc/articles/PMC5708200/ /pubmed/29225479 http://dx.doi.org/10.2147/CMAR.S150622 Text en © 2017 Xiao et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Xiao, Binyi
Peng, Jianhong
Zhang, Rongxin
Xu, Jing
Wang, Yongchun
Fang, Yujing
Lin, Junzhong
Pan, Zhizhong
Wu, Xiaojun
Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer
title Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer
title_full Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer
title_fullStr Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer
title_full_unstemmed Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer
title_short Density of CD8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer
title_sort density of cd8+ lymphocytes in biopsy samples combined with the circulating lymphocyte ratio predicts pathologic complete response to chemoradiotherapy for rectal cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708200/
https://www.ncbi.nlm.nih.gov/pubmed/29225479
http://dx.doi.org/10.2147/CMAR.S150622
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