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Research-based PAM50 signature and long-term breast cancer survival
PURPOSE: Multi-gene signatures provide biological insight and risk stratification in breast cancer. Intrinsic molecular subtypes defined by mRNA expression of 50 genes (PAM50) are prognostic in hormone-receptor positive postmenopausal breast cancer. Yet, for 25–40% in the PAM50 intermediate risk gro...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985186/ https://www.ncbi.nlm.nih.gov/pubmed/31542876 http://dx.doi.org/10.1007/s10549-019-05446-y |
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author | Pu, Minya Messer, Karen Davies, Sherri R. Vickery, Tammi L. Pittman, Emily Parker, Barbara A. Ellis, Matthew J. Flatt, Shirley W. Marinac, Catherine R. Nelson, Sandahl H. Mardis, Elaine R. Pierce, John P. Natarajan, Loki |
author_facet | Pu, Minya Messer, Karen Davies, Sherri R. Vickery, Tammi L. Pittman, Emily Parker, Barbara A. Ellis, Matthew J. Flatt, Shirley W. Marinac, Catherine R. Nelson, Sandahl H. Mardis, Elaine R. Pierce, John P. Natarajan, Loki |
author_sort | Pu, Minya |
collection | PubMed |
description | PURPOSE: Multi-gene signatures provide biological insight and risk stratification in breast cancer. Intrinsic molecular subtypes defined by mRNA expression of 50 genes (PAM50) are prognostic in hormone-receptor positive postmenopausal breast cancer. Yet, for 25–40% in the PAM50 intermediate risk group, long-term risk remains uncertain. Our study aimed to (i) test the long-term prognostic value of the PAM50 signature in pre- and post-menopausal breast cancer; (ii) investigate if the PAM50 model could be improved by addition of other mRNAs implicated in oncogenesis. METHODS: We used archived FFPE samples from 1723 breast cancer survivors; high quality reads were obtained on 1253 samples. Transcript expression was quantified using a custom codeset with probes for > 100 targets. Cox models assessed gene signatures for breast cancer relapse and survival. RESULTS: Over 15 + years of follow-up, PAM50 subtypes were (P < 0.01) associated with breast cancer outcomes after accounting for tumor stage, grade and age at diagnosis. Results did not differ by menopausal status at diagnosis. Women with Luminal B (versus Luminal A) subtype had a > 60% higher hazard. Addition of a 13-gene hypoxia signature improved prognostication with > 40% higher hazard in the highest vs lowest hypoxia tertiles. CONCLUSIONS: PAM50 intrinsic subtypes were independently prognostic for long-term breast cancer survival, irrespective of menopausal status. Addition of hypoxia signatures improved risk prediction. If replicated, incorporating the 13-gene hypoxia signature into the existing PAM50 risk assessment tool, may refine risk stratification and further clarify treatment for breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10549-019-05446-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6985186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-69851862020-02-07 Research-based PAM50 signature and long-term breast cancer survival Pu, Minya Messer, Karen Davies, Sherri R. Vickery, Tammi L. Pittman, Emily Parker, Barbara A. Ellis, Matthew J. Flatt, Shirley W. Marinac, Catherine R. Nelson, Sandahl H. Mardis, Elaine R. Pierce, John P. Natarajan, Loki Breast Cancer Res Treat Epidemiology PURPOSE: Multi-gene signatures provide biological insight and risk stratification in breast cancer. Intrinsic molecular subtypes defined by mRNA expression of 50 genes (PAM50) are prognostic in hormone-receptor positive postmenopausal breast cancer. Yet, for 25–40% in the PAM50 intermediate risk group, long-term risk remains uncertain. Our study aimed to (i) test the long-term prognostic value of the PAM50 signature in pre- and post-menopausal breast cancer; (ii) investigate if the PAM50 model could be improved by addition of other mRNAs implicated in oncogenesis. METHODS: We used archived FFPE samples from 1723 breast cancer survivors; high quality reads were obtained on 1253 samples. Transcript expression was quantified using a custom codeset with probes for > 100 targets. Cox models assessed gene signatures for breast cancer relapse and survival. RESULTS: Over 15 + years of follow-up, PAM50 subtypes were (P < 0.01) associated with breast cancer outcomes after accounting for tumor stage, grade and age at diagnosis. Results did not differ by menopausal status at diagnosis. Women with Luminal B (versus Luminal A) subtype had a > 60% higher hazard. Addition of a 13-gene hypoxia signature improved prognostication with > 40% higher hazard in the highest vs lowest hypoxia tertiles. CONCLUSIONS: PAM50 intrinsic subtypes were independently prognostic for long-term breast cancer survival, irrespective of menopausal status. Addition of hypoxia signatures improved risk prediction. If replicated, incorporating the 13-gene hypoxia signature into the existing PAM50 risk assessment tool, may refine risk stratification and further clarify treatment for breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10549-019-05446-y) contains supplementary material, which is available to authorized users. Springer US 2019-09-21 2020 /pmc/articles/PMC6985186/ /pubmed/31542876 http://dx.doi.org/10.1007/s10549-019-05446-y Text en © The Author(s) 2019 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. |
spellingShingle | Epidemiology Pu, Minya Messer, Karen Davies, Sherri R. Vickery, Tammi L. Pittman, Emily Parker, Barbara A. Ellis, Matthew J. Flatt, Shirley W. Marinac, Catherine R. Nelson, Sandahl H. Mardis, Elaine R. Pierce, John P. Natarajan, Loki Research-based PAM50 signature and long-term breast cancer survival |
title | Research-based PAM50 signature and long-term breast cancer survival |
title_full | Research-based PAM50 signature and long-term breast cancer survival |
title_fullStr | Research-based PAM50 signature and long-term breast cancer survival |
title_full_unstemmed | Research-based PAM50 signature and long-term breast cancer survival |
title_short | Research-based PAM50 signature and long-term breast cancer survival |
title_sort | research-based pam50 signature and long-term breast cancer survival |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985186/ https://www.ncbi.nlm.nih.gov/pubmed/31542876 http://dx.doi.org/10.1007/s10549-019-05446-y |
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