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The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy

PURPOSE: Mammographic Density (MD) refers to the amount of fibroglandular breast tissue present in the breast and is an established risk factor for developing breast cancer. The ability to evaluate treatment response dynamically renders neoadjuvant chemotherapy (NACT) the preferred treatment option...

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Autores principales: Cullinane, C., Brien, A. O., Shrestha, A., Hanlon, E. O., Walshe, J., Geraghty, J., Evoy, D., McCartan, D., McDermott, E., Prichard, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239960/
https://www.ncbi.nlm.nih.gov/pubmed/35606616
http://dx.doi.org/10.1007/s10549-022-06616-1
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author Cullinane, C.
Brien, A. O.
Shrestha, A.
Hanlon, E. O.
Walshe, J.
Geraghty, J.
Evoy, D.
McCartan, D.
McDermott, E.
Prichard, R.
author_facet Cullinane, C.
Brien, A. O.
Shrestha, A.
Hanlon, E. O.
Walshe, J.
Geraghty, J.
Evoy, D.
McCartan, D.
McDermott, E.
Prichard, R.
author_sort Cullinane, C.
collection PubMed
description PURPOSE: Mammographic Density (MD) refers to the amount of fibroglandular breast tissue present in the breast and is an established risk factor for developing breast cancer. The ability to evaluate treatment response dynamically renders neoadjuvant chemotherapy (NACT) the preferred treatment option in many clinical scenarios. Previous studies have suggested that MD can predict patients likely to achieve a pathological complete response (pCR) to NACT. We aimed to determine whether there is a causal relationship between BI-RADS breast composition categories for breast density at diagnosis and the pCR rate and residual cancer burden score (RCB) by performing a retrospective review on consecutive breast cancer patients who received NACT in a tertiary referral centre from 2015 to 2021. METHODS: The Mann–Whitney U Test was used to test for differences between two independent groups (i.e. those who achieved pCR and those who did not). A binary logistic regression model was used to estimate odds ratios (OR) and corresponding 95% confidence intervals (CI) for an association between the independent variables of molecular subtype, MD, histological grade and FNA positivity and the dependant variable of pCR. Statistical analysis was conducted with SPSS (IBM SPSS for Mac, Version 26.0; IBM Corp). RESULTS: 292 patients were included in the current study. There were 124, 155 and 13 patients in the BI-RADS MD category b, c and d, respectively. There were no patients in the BI-RADS MD category a. The patients with less dense breast composition (MD category b) were significantly older than patients with denser breast composition (MD category c, d) (p = 0.001) and patients who had a denser breast composition (MD category d) were more likely to have ER+ tumours. There was no significant difference in PgR status, HER2 status, pathological complete response (pCR), FNA positivity, or RCB class dependent upon the three MD categories. A binary logistic regression revealed that patients with HER2-enriched breast cancer and triple-negative breast cancer are more likely to achieve pCR with an OR of 3.630 (95% CI 1.360–9.691, p = 0.010) and 2.445 (95% CI 1.131–5.288, p = 0.023), respectively. CONCLUSION: Whilst dense MD was associated with ER positivity and these women were less likely to achieve a pCR, MD did not appear to independently predict pCR post-NACT.
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spelling pubmed-92399602022-06-30 The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy Cullinane, C. Brien, A. O. Shrestha, A. Hanlon, E. O. Walshe, J. Geraghty, J. Evoy, D. McCartan, D. McDermott, E. Prichard, R. Breast Cancer Res Treat Epidemiology PURPOSE: Mammographic Density (MD) refers to the amount of fibroglandular breast tissue present in the breast and is an established risk factor for developing breast cancer. The ability to evaluate treatment response dynamically renders neoadjuvant chemotherapy (NACT) the preferred treatment option in many clinical scenarios. Previous studies have suggested that MD can predict patients likely to achieve a pathological complete response (pCR) to NACT. We aimed to determine whether there is a causal relationship between BI-RADS breast composition categories for breast density at diagnosis and the pCR rate and residual cancer burden score (RCB) by performing a retrospective review on consecutive breast cancer patients who received NACT in a tertiary referral centre from 2015 to 2021. METHODS: The Mann–Whitney U Test was used to test for differences between two independent groups (i.e. those who achieved pCR and those who did not). A binary logistic regression model was used to estimate odds ratios (OR) and corresponding 95% confidence intervals (CI) for an association between the independent variables of molecular subtype, MD, histological grade and FNA positivity and the dependant variable of pCR. Statistical analysis was conducted with SPSS (IBM SPSS for Mac, Version 26.0; IBM Corp). RESULTS: 292 patients were included in the current study. There were 124, 155 and 13 patients in the BI-RADS MD category b, c and d, respectively. There were no patients in the BI-RADS MD category a. The patients with less dense breast composition (MD category b) were significantly older than patients with denser breast composition (MD category c, d) (p = 0.001) and patients who had a denser breast composition (MD category d) were more likely to have ER+ tumours. There was no significant difference in PgR status, HER2 status, pathological complete response (pCR), FNA positivity, or RCB class dependent upon the three MD categories. A binary logistic regression revealed that patients with HER2-enriched breast cancer and triple-negative breast cancer are more likely to achieve pCR with an OR of 3.630 (95% CI 1.360–9.691, p = 0.010) and 2.445 (95% CI 1.131–5.288, p = 0.023), respectively. CONCLUSION: Whilst dense MD was associated with ER positivity and these women were less likely to achieve a pCR, MD did not appear to independently predict pCR post-NACT. Springer US 2022-05-23 2022 /pmc/articles/PMC9239960/ /pubmed/35606616 http://dx.doi.org/10.1007/s10549-022-06616-1 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/) .
spellingShingle Epidemiology
Cullinane, C.
Brien, A. O.
Shrestha, A.
Hanlon, E. O.
Walshe, J.
Geraghty, J.
Evoy, D.
McCartan, D.
McDermott, E.
Prichard, R.
The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy
title The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy
title_full The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy
title_fullStr The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy
title_full_unstemmed The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy
title_short The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy
title_sort association between breast density and breast cancer pathological response to neoadjuvant chemotherapy
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239960/
https://www.ncbi.nlm.nih.gov/pubmed/35606616
http://dx.doi.org/10.1007/s10549-022-06616-1
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