Cargando…
Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers
BACKGROUND: Triple-negative breast cancers (TNBCs) are a group of heterogeneous diseases with various morphology, prognosis, and treatment response. Therefore, it is important to identify valuable biomarkers to predict the therapeutic response and prognosis for TNBCs. Tumor-infiltrating lymphocytes...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119339/ https://www.ncbi.nlm.nih.gov/pubmed/30170605 http://dx.doi.org/10.1186/s13000-018-0743-7 |
_version_ | 1783352072102477824 |
---|---|
author | Ruan, Miao Tian, Tian Rao, Jia Xu, Xiaoli Yu, Baohua Yang, Wentao Shui, Ruohong |
author_facet | Ruan, Miao Tian, Tian Rao, Jia Xu, Xiaoli Yu, Baohua Yang, Wentao Shui, Ruohong |
author_sort | Ruan, Miao |
collection | PubMed |
description | BACKGROUND: Triple-negative breast cancers (TNBCs) are a group of heterogeneous diseases with various morphology, prognosis, and treatment response. Therefore, it is important to identify valuable biomarkers to predict the therapeutic response and prognosis for TNBCs. Tumor-infiltrating lymphocytes (TILs) may have predictive value to pathological complete response (pCR) in neoadjuvant treated TNBCs. However, absence of standardized methodologies for TILs measurement has limited its evaluation and application in practice. In 2014, the International TILs Working Group formulated the recommendations of pathologic evaluation for TILs in breast cancers. METHODS: To evaluate the predictive value of TILs scored by methods recommended by International TILs Working Group 2014, we performed a retrospective study of TILs in 166 core needle biopsy specimens of primary invasive TNBCs with neoadjuvant chemotherapy (NAC) in a Chinese population. Intratumoral TILs (iTILs) and stromal TILs (sTILs) were scored respectively. The associations between TILs and pCR were analyzed. RESULTS: Both sTILs (p = 0.0001) and iTILs (P = 0.001) were associated with pCR in univariate logistic regression analysis. Multivariate logistic regression analysis indicated that both sTILs (P = 0.006) and iTILs (P = 0.04) were independent predictors for pCR. Receiver operating characteristics (ROC) curve analysis was used to identify the optimal thresholds of TILs. TNBCs with more than 20% sTILs (P = 0.001) or with more than 10% iTILs (P = 0.003) were associated with higher pCR rates in univariate analysis. Multivariate analysis showed that a 20% threshold of sTILs (P = 0.005) was an independent predictive factor for pCR. CONCLUSIONS: Our study indicated that TILs scored by recommendations of International TILs Working Group 2014 in pre-NAC core needle biopsy specimens was significantly correlated with pCR in TNBCs, higher TILs scores predicting higher pCR rate. Both sTILs and iTILs were independent predictors for pCR in TNBCs. A 20% threshold for sTILs may be feasible to predict pCR to NAC in TNBCs. |
format | Online Article Text |
id | pubmed-6119339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61193392018-09-05 Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers Ruan, Miao Tian, Tian Rao, Jia Xu, Xiaoli Yu, Baohua Yang, Wentao Shui, Ruohong Diagn Pathol Research BACKGROUND: Triple-negative breast cancers (TNBCs) are a group of heterogeneous diseases with various morphology, prognosis, and treatment response. Therefore, it is important to identify valuable biomarkers to predict the therapeutic response and prognosis for TNBCs. Tumor-infiltrating lymphocytes (TILs) may have predictive value to pathological complete response (pCR) in neoadjuvant treated TNBCs. However, absence of standardized methodologies for TILs measurement has limited its evaluation and application in practice. In 2014, the International TILs Working Group formulated the recommendations of pathologic evaluation for TILs in breast cancers. METHODS: To evaluate the predictive value of TILs scored by methods recommended by International TILs Working Group 2014, we performed a retrospective study of TILs in 166 core needle biopsy specimens of primary invasive TNBCs with neoadjuvant chemotherapy (NAC) in a Chinese population. Intratumoral TILs (iTILs) and stromal TILs (sTILs) were scored respectively. The associations between TILs and pCR were analyzed. RESULTS: Both sTILs (p = 0.0001) and iTILs (P = 0.001) were associated with pCR in univariate logistic regression analysis. Multivariate logistic regression analysis indicated that both sTILs (P = 0.006) and iTILs (P = 0.04) were independent predictors for pCR. Receiver operating characteristics (ROC) curve analysis was used to identify the optimal thresholds of TILs. TNBCs with more than 20% sTILs (P = 0.001) or with more than 10% iTILs (P = 0.003) were associated with higher pCR rates in univariate analysis. Multivariate analysis showed that a 20% threshold of sTILs (P = 0.005) was an independent predictive factor for pCR. CONCLUSIONS: Our study indicated that TILs scored by recommendations of International TILs Working Group 2014 in pre-NAC core needle biopsy specimens was significantly correlated with pCR in TNBCs, higher TILs scores predicting higher pCR rate. Both sTILs and iTILs were independent predictors for pCR in TNBCs. A 20% threshold for sTILs may be feasible to predict pCR to NAC in TNBCs. BioMed Central 2018-08-31 /pmc/articles/PMC6119339/ /pubmed/30170605 http://dx.doi.org/10.1186/s13000-018-0743-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Ruan, Miao Tian, Tian Rao, Jia Xu, Xiaoli Yu, Baohua Yang, Wentao Shui, Ruohong Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers |
title | Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers |
title_full | Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers |
title_fullStr | Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers |
title_full_unstemmed | Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers |
title_short | Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers |
title_sort | predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119339/ https://www.ncbi.nlm.nih.gov/pubmed/30170605 http://dx.doi.org/10.1186/s13000-018-0743-7 |
work_keys_str_mv | AT ruanmiao predictivevalueoftumorinfiltratinglymphocytestopathologicalcompleteresponseinneoadjuvanttreatedtriplenegativebreastcancers AT tiantian predictivevalueoftumorinfiltratinglymphocytestopathologicalcompleteresponseinneoadjuvanttreatedtriplenegativebreastcancers AT raojia predictivevalueoftumorinfiltratinglymphocytestopathologicalcompleteresponseinneoadjuvanttreatedtriplenegativebreastcancers AT xuxiaoli predictivevalueoftumorinfiltratinglymphocytestopathologicalcompleteresponseinneoadjuvanttreatedtriplenegativebreastcancers AT yubaohua predictivevalueoftumorinfiltratinglymphocytestopathologicalcompleteresponseinneoadjuvanttreatedtriplenegativebreastcancers AT yangwentao predictivevalueoftumorinfiltratinglymphocytestopathologicalcompleteresponseinneoadjuvanttreatedtriplenegativebreastcancers AT shuiruohong predictivevalueoftumorinfiltratinglymphocytestopathologicalcompleteresponseinneoadjuvanttreatedtriplenegativebreastcancers |