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Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer

We evaluate whether the tumor immune infiltrate (TIL) could be used for prediction of responsiveness to preoperative chemoradiotherapy (PCRT) in rectal cancers. Using formalin-fixed paraffin-embedded slides of pretreatment biopsies, co-stain for CD4, CD8, CD274 (PD-L1), FOXP3, cytokeratin, and DAPI...

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Autores principales: Park, In Ja, An, Soyeon, Kim, Sang-Yeob, Lim, Hye Min, Hong, Seung-Mo, Kim, Mi-Ju, Kim, Yun Jae, Yu, Chang Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668093/
https://www.ncbi.nlm.nih.gov/pubmed/29108360
http://dx.doi.org/10.18632/oncotarget.19558
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author Park, In Ja
An, Soyeon
Kim, Sang-Yeob
Lim, Hye Min
Hong, Seung-Mo
Kim, Mi-Ju
Kim, Yun Jae
Yu, Chang Sik
author_facet Park, In Ja
An, Soyeon
Kim, Sang-Yeob
Lim, Hye Min
Hong, Seung-Mo
Kim, Mi-Ju
Kim, Yun Jae
Yu, Chang Sik
author_sort Park, In Ja
collection PubMed
description We evaluate whether the tumor immune infiltrate (TIL) could be used for prediction of responsiveness to preoperative chemoradiotherapy (PCRT) in rectal cancers. Using formalin-fixed paraffin-embedded slides of pretreatment biopsies, co-stain for CD4, CD8, CD274 (PD-L1), FOXP3, cytokeratin, and DAPI was performed with Opal multi staining kit (Perkin-Elmer, Waltham, MA). Multispectral imaging and digital analysis to visualize and quantify specific immune infiltrates were performed using the Vectra imaging system (Perkin-Elmer). The density (number of cells per mm(2)) and proportion of total TILs and specific cell types in the stroma were calculated by inForm™ 2.2.1 software (Perkin-Elmer). The density and proportion of total TILs and specific cell types in the stroma were calculated by inForm™ 2.2.1 software (Perkin-Elmer, Waltham, MA). Patients were classified as group with total regression (TR, n = 25) and group with residual disease (near total, moderate, and minimal regression, RD, n = 50). The mean density of T cell infiltration and CD274 (PD-L1)+ lymphocyte were significantly higher in TR (p = 0.005, p = 0.001). The proportion of CD4+ lymphocyte (p=0.042) and CD274 (PD-L1)+ lymphocyte (p = 0.002) were different between 2 groups. The TR group has lower CD4+ and higher CD274 (PD-L1)+ proportions than RD group. The ratio among CD4+, CD8+, CD274 (PD-L1)+, FOXP3+ T cell was different between groups. TR group showed lower CD4/ CD274 (PD-L1) (p = 0.007), CD8/ CD274 (PD-L1) (p = 0.02), and FOXP3/ CD274 (PD-L1) (p = 0.003) ratio than RD group. The determination of the immune infiltrate in biopsies before treatment could be a valuable information for the prediction of responsiveness to PCRT.
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spelling pubmed-56680932017-11-04 Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer Park, In Ja An, Soyeon Kim, Sang-Yeob Lim, Hye Min Hong, Seung-Mo Kim, Mi-Ju Kim, Yun Jae Yu, Chang Sik Oncotarget Clinical Research Paper We evaluate whether the tumor immune infiltrate (TIL) could be used for prediction of responsiveness to preoperative chemoradiotherapy (PCRT) in rectal cancers. Using formalin-fixed paraffin-embedded slides of pretreatment biopsies, co-stain for CD4, CD8, CD274 (PD-L1), FOXP3, cytokeratin, and DAPI was performed with Opal multi staining kit (Perkin-Elmer, Waltham, MA). Multispectral imaging and digital analysis to visualize and quantify specific immune infiltrates were performed using the Vectra imaging system (Perkin-Elmer). The density (number of cells per mm(2)) and proportion of total TILs and specific cell types in the stroma were calculated by inForm™ 2.2.1 software (Perkin-Elmer). The density and proportion of total TILs and specific cell types in the stroma were calculated by inForm™ 2.2.1 software (Perkin-Elmer, Waltham, MA). Patients were classified as group with total regression (TR, n = 25) and group with residual disease (near total, moderate, and minimal regression, RD, n = 50). The mean density of T cell infiltration and CD274 (PD-L1)+ lymphocyte were significantly higher in TR (p = 0.005, p = 0.001). The proportion of CD4+ lymphocyte (p=0.042) and CD274 (PD-L1)+ lymphocyte (p = 0.002) were different between 2 groups. The TR group has lower CD4+ and higher CD274 (PD-L1)+ proportions than RD group. The ratio among CD4+, CD8+, CD274 (PD-L1)+, FOXP3+ T cell was different between groups. TR group showed lower CD4/ CD274 (PD-L1) (p = 0.007), CD8/ CD274 (PD-L1) (p = 0.02), and FOXP3/ CD274 (PD-L1) (p = 0.003) ratio than RD group. The determination of the immune infiltrate in biopsies before treatment could be a valuable information for the prediction of responsiveness to PCRT. Impact Journals LLC 2017-07-25 /pmc/articles/PMC5668093/ /pubmed/29108360 http://dx.doi.org/10.18632/oncotarget.19558 Text en Copyright: © 2017 Park et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Clinical Research Paper
Park, In Ja
An, Soyeon
Kim, Sang-Yeob
Lim, Hye Min
Hong, Seung-Mo
Kim, Mi-Ju
Kim, Yun Jae
Yu, Chang Sik
Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer
title Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer
title_full Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer
title_fullStr Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer
title_full_unstemmed Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer
title_short Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer
title_sort prediction of radio-responsiveness with immune-profiling in patients with rectal cancer
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668093/
https://www.ncbi.nlm.nih.gov/pubmed/29108360
http://dx.doi.org/10.18632/oncotarget.19558
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