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Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer
BACKGROUND: The tumour–stroma ratio (TSR) is identified as a promising prognostic parameter for breast cancer, but the cutoff TSR value is mostly assessed by visual assessment, which lacks objective measurement. The aims of this study were to optimize the cutoff TSR value, and evaluate its prognosis...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585868/ https://www.ncbi.nlm.nih.gov/pubmed/36271354 http://dx.doi.org/10.1186/s12885-022-10183-5 |
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author | Yan, Dandan Ju, Xianli Luo, Bin Guan, Feng He, Huihua Yan, Honglin Yuan, Jingping |
author_facet | Yan, Dandan Ju, Xianli Luo, Bin Guan, Feng He, Huihua Yan, Honglin Yuan, Jingping |
author_sort | Yan, Dandan |
collection | PubMed |
description | BACKGROUND: The tumour–stroma ratio (TSR) is identified as a promising prognostic parameter for breast cancer, but the cutoff TSR value is mostly assessed by visual assessment, which lacks objective measurement. The aims of this study were to optimize the cutoff TSR value, and evaluate its prognosis value in patients with breast cancer both as continuous and categorical variables. METHODS: Major clinicopathological and follow-up data were collected for a series of patients with breast cancer. Tissue microarray images stained with cytokeratin immunohistochemistry were evaluated by automated quantitative image analysis algorithms to assess TSR. The potential cutoff point for TSR was optimized using maximally selected rank statistics. The association between TSR and 5-year disease-free survival (5-DFS) was assessed by Cox regression analysis. Kaplan–Meier analysis and log-rank test were used to assess the significance in survival analysis. RESULTS: The optimal cut-off TSR value was 33.5%. Using this cut-off point, categorical variable analysis found that low TSR (i.e., high stroma, TSR ≤ 33.5%) predicts poor outcomes for 5-DFS (hazard ratio [HR] = 2.82, 95% confidence interval [CI] = 1.81–4.40, P = 0.000). When TSR was considered as a continuous parameter, results showed that increased stroma content was associated with worse 5-DFS (HR = 1.71, 95% CI = 1.34–2.18, P = 0.000). Similar results were also obtained in three molecular subtypes in continuous and categorical variable analyses. Moreover, in the Kaplan–Meier analysis, log-rank test showed that low TSR displayed a worse 5-DFS than high TSR (P = 0.000). Similar results were also obtained in patients with triple-negative breast cancer, human epidermal growth factor receptor 2 (HER2)-positive breast cancer, and luminal–HER2-negative breast cancer. CONCLUSION: TSR is an independent predictor for 5-DFS in breast cancer with worse survival outcomes in low TSR. The prognostic value of TSR was also observed in other three molecular subtypes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10183-5. |
format | Online Article Text |
id | pubmed-9585868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95858682022-10-22 Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer Yan, Dandan Ju, Xianli Luo, Bin Guan, Feng He, Huihua Yan, Honglin Yuan, Jingping BMC Cancer Research BACKGROUND: The tumour–stroma ratio (TSR) is identified as a promising prognostic parameter for breast cancer, but the cutoff TSR value is mostly assessed by visual assessment, which lacks objective measurement. The aims of this study were to optimize the cutoff TSR value, and evaluate its prognosis value in patients with breast cancer both as continuous and categorical variables. METHODS: Major clinicopathological and follow-up data were collected for a series of patients with breast cancer. Tissue microarray images stained with cytokeratin immunohistochemistry were evaluated by automated quantitative image analysis algorithms to assess TSR. The potential cutoff point for TSR was optimized using maximally selected rank statistics. The association between TSR and 5-year disease-free survival (5-DFS) was assessed by Cox regression analysis. Kaplan–Meier analysis and log-rank test were used to assess the significance in survival analysis. RESULTS: The optimal cut-off TSR value was 33.5%. Using this cut-off point, categorical variable analysis found that low TSR (i.e., high stroma, TSR ≤ 33.5%) predicts poor outcomes for 5-DFS (hazard ratio [HR] = 2.82, 95% confidence interval [CI] = 1.81–4.40, P = 0.000). When TSR was considered as a continuous parameter, results showed that increased stroma content was associated with worse 5-DFS (HR = 1.71, 95% CI = 1.34–2.18, P = 0.000). Similar results were also obtained in three molecular subtypes in continuous and categorical variable analyses. Moreover, in the Kaplan–Meier analysis, log-rank test showed that low TSR displayed a worse 5-DFS than high TSR (P = 0.000). Similar results were also obtained in patients with triple-negative breast cancer, human epidermal growth factor receptor 2 (HER2)-positive breast cancer, and luminal–HER2-negative breast cancer. CONCLUSION: TSR is an independent predictor for 5-DFS in breast cancer with worse survival outcomes in low TSR. The prognostic value of TSR was also observed in other three molecular subtypes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10183-5. BioMed Central 2022-10-21 /pmc/articles/PMC9585868/ /pubmed/36271354 http://dx.doi.org/10.1186/s12885-022-10183-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Yan, Dandan Ju, Xianli Luo, Bin Guan, Feng He, Huihua Yan, Honglin Yuan, Jingping Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer |
title | Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer |
title_full | Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer |
title_fullStr | Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer |
title_full_unstemmed | Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer |
title_short | Tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer |
title_sort | tumour stroma ratio is a potential predictor for 5-year disease-free survival in breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585868/ https://www.ncbi.nlm.nih.gov/pubmed/36271354 http://dx.doi.org/10.1186/s12885-022-10183-5 |
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