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Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer

BACKGROUND: Lymph node metastasis is more likely in early-stage breast cancer with lower tumor-infiltrating lymphocyte (TIL) density. Therefore, we investigated the correlation between TILs and lymph node metastasis in cT1 breast cancer patients undergoing surgery and the usefulness of TILs in predi...

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Autores principales: Takada, Koji, Kashiwagi, Shinichiro, Asano, Yuka, Goto, Wataru, Kouhashi, Rika, Yabumoto, Akimichi, Morisaki, Tamami, Shibutani, Masatsune, Takashima, Tsutomu, Fujita, Hisakazu, Hirakawa, Kosei, Ohira, Masaichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318528/
https://www.ncbi.nlm.nih.gov/pubmed/32590956
http://dx.doi.org/10.1186/s12885-020-07101-y
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author Takada, Koji
Kashiwagi, Shinichiro
Asano, Yuka
Goto, Wataru
Kouhashi, Rika
Yabumoto, Akimichi
Morisaki, Tamami
Shibutani, Masatsune
Takashima, Tsutomu
Fujita, Hisakazu
Hirakawa, Kosei
Ohira, Masaichi
author_facet Takada, Koji
Kashiwagi, Shinichiro
Asano, Yuka
Goto, Wataru
Kouhashi, Rika
Yabumoto, Akimichi
Morisaki, Tamami
Shibutani, Masatsune
Takashima, Tsutomu
Fujita, Hisakazu
Hirakawa, Kosei
Ohira, Masaichi
author_sort Takada, Koji
collection PubMed
description BACKGROUND: Lymph node metastasis is more likely in early-stage breast cancer with lower tumor-infiltrating lymphocyte (TIL) density. Therefore, we investigated the correlation between TILs and lymph node metastasis in cT1 breast cancer patients undergoing surgery and the usefulness of TILs in predicting sentinel lymph node metastasis (SLNM) in cT1N0M0 breast cancer. METHODS: We investigated 332 breast cancer patients who underwent surgery as the first-line treatment after preoperative diagnosis of cT1. A positive diagnosis of SLNM as an indication for axillary clearance was defined as macrometastasis in the sentinel lymph node (SLN) (macrometastasis: tumor diameter > 2 mm). Semi-quantitative evaluation of lymphocytes infiltrating the peritumoral stroma as TILs in primary tumor biopsy specimens prior to treatment was conducted. RESULTS: For SLN biopsy (SLNB), a median of 2 (range, 1–8) SLNs were pathologically evaluated. Sixty cases (19.4%) of SLNM (macrometastasis: 46, micrometastasis: 16) were observed. Metastasis was significantly greater in breast cancers with tumor diameter > 10 mm than in those with diameter ≤ 10 mm (p = 0.016). Metastasis was significantly associated with lymphatic invasion (p < 0.001). These two clinicopathological factors correlated with SLNM even in patients diagnosed with cN0 (tumor size; p = 0.017, lymphatic invasion; p = 0.002). Multivariate analysis for SLNM predictors revealed lymphatic invasion (p = 0.008, odds ratio [OR] = 2.522) and TILs (p < 0.001, OR = 0.137) as independent factors. CONCLUSIONS: Our results suggest a correlation between lymph node metastasis and tumor immune-microenvironment in cT1 breast cancer. TIL density may be a predictor of SLNM in breast cancer without lymph node metastasis on preoperative imaging.
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spelling pubmed-73185282020-06-29 Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer Takada, Koji Kashiwagi, Shinichiro Asano, Yuka Goto, Wataru Kouhashi, Rika Yabumoto, Akimichi Morisaki, Tamami Shibutani, Masatsune Takashima, Tsutomu Fujita, Hisakazu Hirakawa, Kosei Ohira, Masaichi BMC Cancer Research Article BACKGROUND: Lymph node metastasis is more likely in early-stage breast cancer with lower tumor-infiltrating lymphocyte (TIL) density. Therefore, we investigated the correlation between TILs and lymph node metastasis in cT1 breast cancer patients undergoing surgery and the usefulness of TILs in predicting sentinel lymph node metastasis (SLNM) in cT1N0M0 breast cancer. METHODS: We investigated 332 breast cancer patients who underwent surgery as the first-line treatment after preoperative diagnosis of cT1. A positive diagnosis of SLNM as an indication for axillary clearance was defined as macrometastasis in the sentinel lymph node (SLN) (macrometastasis: tumor diameter > 2 mm). Semi-quantitative evaluation of lymphocytes infiltrating the peritumoral stroma as TILs in primary tumor biopsy specimens prior to treatment was conducted. RESULTS: For SLN biopsy (SLNB), a median of 2 (range, 1–8) SLNs were pathologically evaluated. Sixty cases (19.4%) of SLNM (macrometastasis: 46, micrometastasis: 16) were observed. Metastasis was significantly greater in breast cancers with tumor diameter > 10 mm than in those with diameter ≤ 10 mm (p = 0.016). Metastasis was significantly associated with lymphatic invasion (p < 0.001). These two clinicopathological factors correlated with SLNM even in patients diagnosed with cN0 (tumor size; p = 0.017, lymphatic invasion; p = 0.002). Multivariate analysis for SLNM predictors revealed lymphatic invasion (p = 0.008, odds ratio [OR] = 2.522) and TILs (p < 0.001, OR = 0.137) as independent factors. CONCLUSIONS: Our results suggest a correlation between lymph node metastasis and tumor immune-microenvironment in cT1 breast cancer. TIL density may be a predictor of SLNM in breast cancer without lymph node metastasis on preoperative imaging. BioMed Central 2020-06-26 /pmc/articles/PMC7318528/ /pubmed/32590956 http://dx.doi.org/10.1186/s12885-020-07101-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Takada, Koji
Kashiwagi, Shinichiro
Asano, Yuka
Goto, Wataru
Kouhashi, Rika
Yabumoto, Akimichi
Morisaki, Tamami
Shibutani, Masatsune
Takashima, Tsutomu
Fujita, Hisakazu
Hirakawa, Kosei
Ohira, Masaichi
Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer
title Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer
title_full Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer
title_fullStr Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer
title_full_unstemmed Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer
title_short Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer
title_sort prediction of lymph node metastasis by tumor-infiltrating lymphocytes in t1 breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318528/
https://www.ncbi.nlm.nih.gov/pubmed/32590956
http://dx.doi.org/10.1186/s12885-020-07101-y
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