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Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status

Axillary lymph node status is an important prognostic factor for breast cancer patients and sentinel lymph node biopsy (SLNB) is a less invasive surgical proxy. We examined if consecutively derived molecular subtypes from primary breast cancers provide additional predictive value for SLNB status. 15...

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Autores principales: Rossing, Maria, Pedersen, Christina Bligaard, Tvedskov, Tove, Vejborg, Ilse, Talman, Maj-Lis, Olsen, Lars Rønn, Kroman, Niels, Nielsen, Finn Cilius, Jensen, Maj-Britt, Ejlertsen, Bent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838175/
https://www.ncbi.nlm.nih.gov/pubmed/33500440
http://dx.doi.org/10.1038/s41598-021-81538-4
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author Rossing, Maria
Pedersen, Christina Bligaard
Tvedskov, Tove
Vejborg, Ilse
Talman, Maj-Lis
Olsen, Lars Rønn
Kroman, Niels
Nielsen, Finn Cilius
Jensen, Maj-Britt
Ejlertsen, Bent
author_facet Rossing, Maria
Pedersen, Christina Bligaard
Tvedskov, Tove
Vejborg, Ilse
Talman, Maj-Lis
Olsen, Lars Rønn
Kroman, Niels
Nielsen, Finn Cilius
Jensen, Maj-Britt
Ejlertsen, Bent
author_sort Rossing, Maria
collection PubMed
description Axillary lymph node status is an important prognostic factor for breast cancer patients and sentinel lymph node biopsy (SLNB) is a less invasive surgical proxy. We examined if consecutively derived molecular subtypes from primary breast cancers provide additional predictive value for SLNB status. 1556 patients with a breast cancer > 10 mm underwent primary surgical procedure including SLNB and tumor specimens were assigned with a transcriptomics-based molecular subtype. 1020 patients had a negative sentinel node (SN) and 536 a positive. A significant association between tumor size and SN status (p < 0.0001) was found across all samples, but no association between size and SN status (p = 0.14) was found for BasL tumors. A BasL subtype was a predictor of an SN-negative status (p = 0.001, OR 0.58, 95% CI 0.38;0.90) and among the BasL, postmenopausal status was a predictor for SN-negative status (p = 0.01). Overall survival was significantly lower (p = 0.02) in patients with BasL tumors and a positive SN. Interestingly, we identified a significant correlation between hormone receptor activity and SN status within the BasL subtype. Taken together, molecular subtypes and hormone receptor activity of breast cancers add predictive value for SLNB status.
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spelling pubmed-78381752021-01-27 Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status Rossing, Maria Pedersen, Christina Bligaard Tvedskov, Tove Vejborg, Ilse Talman, Maj-Lis Olsen, Lars Rønn Kroman, Niels Nielsen, Finn Cilius Jensen, Maj-Britt Ejlertsen, Bent Sci Rep Article Axillary lymph node status is an important prognostic factor for breast cancer patients and sentinel lymph node biopsy (SLNB) is a less invasive surgical proxy. We examined if consecutively derived molecular subtypes from primary breast cancers provide additional predictive value for SLNB status. 1556 patients with a breast cancer > 10 mm underwent primary surgical procedure including SLNB and tumor specimens were assigned with a transcriptomics-based molecular subtype. 1020 patients had a negative sentinel node (SN) and 536 a positive. A significant association between tumor size and SN status (p < 0.0001) was found across all samples, but no association between size and SN status (p = 0.14) was found for BasL tumors. A BasL subtype was a predictor of an SN-negative status (p = 0.001, OR 0.58, 95% CI 0.38;0.90) and among the BasL, postmenopausal status was a predictor for SN-negative status (p = 0.01). Overall survival was significantly lower (p = 0.02) in patients with BasL tumors and a positive SN. Interestingly, we identified a significant correlation between hormone receptor activity and SN status within the BasL subtype. Taken together, molecular subtypes and hormone receptor activity of breast cancers add predictive value for SLNB status. Nature Publishing Group UK 2021-01-26 /pmc/articles/PMC7838175/ /pubmed/33500440 http://dx.doi.org/10.1038/s41598-021-81538-4 Text en © The Author(s) 2021 Open Access This 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/.
spellingShingle Article
Rossing, Maria
Pedersen, Christina Bligaard
Tvedskov, Tove
Vejborg, Ilse
Talman, Maj-Lis
Olsen, Lars Rønn
Kroman, Niels
Nielsen, Finn Cilius
Jensen, Maj-Britt
Ejlertsen, Bent
Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status
title Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status
title_full Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status
title_fullStr Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status
title_full_unstemmed Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status
title_short Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status
title_sort clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838175/
https://www.ncbi.nlm.nih.gov/pubmed/33500440
http://dx.doi.org/10.1038/s41598-021-81538-4
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