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Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases

BACKGROUND: Breast cancer is a leading cause of cancer-related death in women worldwide. Despite extensive studies in all areas of basic, clinical and applied research, accurate prognosis remains elusive, thus leading to overtreatment of many patients. Diagnosis could be improved by introducing mult...

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Autores principales: Bustamante Eduardo, Mariana, Popovici, Vlad, Imboden, Sara, Aebi, Stefan, Ballabio, Nadja, Altermatt, Hans Jörg, Günthert, Andreas, Jaggi, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556009/
https://www.ncbi.nlm.nih.gov/pubmed/31174485
http://dx.doi.org/10.1186/s12885-019-5752-8
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author Bustamante Eduardo, Mariana
Popovici, Vlad
Imboden, Sara
Aebi, Stefan
Ballabio, Nadja
Altermatt, Hans Jörg
Günthert, Andreas
Jaggi, Rolf
author_facet Bustamante Eduardo, Mariana
Popovici, Vlad
Imboden, Sara
Aebi, Stefan
Ballabio, Nadja
Altermatt, Hans Jörg
Günthert, Andreas
Jaggi, Rolf
author_sort Bustamante Eduardo, Mariana
collection PubMed
description BACKGROUND: Breast cancer is a leading cause of cancer-related death in women worldwide. Despite extensive studies in all areas of basic, clinical and applied research, accurate prognosis remains elusive, thus leading to overtreatment of many patients. Diagnosis could be improved by introducing multigene molecular scores in standard clinical practice. Several tests that work with formalin-fixed tissue have become routine. Molecular scores usually include several genes representing processes, response to oestrogens, progestogens and human epidermal growth factor receptor 2 (Her2), respectively, which are combined additively in single values. These multi-gene scores have the advantage of being more robust and reproducible than single-gene scores. Their utility may be further enhanced by combining them with classical diagnostic parameters. Here, we present an exploratory study comparing the RISK and research versions of Oncotype DX recurrence score (RS), Prosigna Risk of Recurrence (ROR) and EndoPredict (EP) with respect to their prognostic potential for ipsilateral recurrence and/or distant relapse in brain, and we compared the scores to the intrinsic subtypes based on PAM50. METHODS: RNA was extracted from formalin-fixed, paraffin-embedded (FFPE) tissue cores of primary tumours, local recurrences and brain metastases. Gene expression was measured on a NanoString nCounter Analysis System. Intrinsic subtypes and molecular scores were computed according to published literature and RISK, RS, ROR and EP were compared against each other and to the intrinsic subtypes Luminal A (lumA), Luminal B (lumB), Her2-enriched (Her2↑), Basal-like (basal), and Normal-like (normal) of PAM50. Local recurrences and brain metastases were compared to their corresponding primary tumours. RESULTS: All four molecular scores were highly correlated. Highest correlations were observed among genes related to proliferation while lower correlations were found among oestrogen-related genes. The scores were significantly higher in primary tumours progressing to brain metastases as compared to recurrence-free primary tumours and primary tumours that relapsed as local recurrences. CONCLUSIONS: RISK and ROR-P are prognostic for primary tumours metastasizing to the brain. All four scores, RISK, RS, EP and ROR-P failed to discriminate between primary tumours that remained recurrence-free and primary tumours relapsing as local recurrences. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5752-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-65560092019-06-13 Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases Bustamante Eduardo, Mariana Popovici, Vlad Imboden, Sara Aebi, Stefan Ballabio, Nadja Altermatt, Hans Jörg Günthert, Andreas Jaggi, Rolf BMC Cancer Research Article BACKGROUND: Breast cancer is a leading cause of cancer-related death in women worldwide. Despite extensive studies in all areas of basic, clinical and applied research, accurate prognosis remains elusive, thus leading to overtreatment of many patients. Diagnosis could be improved by introducing multigene molecular scores in standard clinical practice. Several tests that work with formalin-fixed tissue have become routine. Molecular scores usually include several genes representing processes, response to oestrogens, progestogens and human epidermal growth factor receptor 2 (Her2), respectively, which are combined additively in single values. These multi-gene scores have the advantage of being more robust and reproducible than single-gene scores. Their utility may be further enhanced by combining them with classical diagnostic parameters. Here, we present an exploratory study comparing the RISK and research versions of Oncotype DX recurrence score (RS), Prosigna Risk of Recurrence (ROR) and EndoPredict (EP) with respect to their prognostic potential for ipsilateral recurrence and/or distant relapse in brain, and we compared the scores to the intrinsic subtypes based on PAM50. METHODS: RNA was extracted from formalin-fixed, paraffin-embedded (FFPE) tissue cores of primary tumours, local recurrences and brain metastases. Gene expression was measured on a NanoString nCounter Analysis System. Intrinsic subtypes and molecular scores were computed according to published literature and RISK, RS, ROR and EP were compared against each other and to the intrinsic subtypes Luminal A (lumA), Luminal B (lumB), Her2-enriched (Her2↑), Basal-like (basal), and Normal-like (normal) of PAM50. Local recurrences and brain metastases were compared to their corresponding primary tumours. RESULTS: All four molecular scores were highly correlated. Highest correlations were observed among genes related to proliferation while lower correlations were found among oestrogen-related genes. The scores were significantly higher in primary tumours progressing to brain metastases as compared to recurrence-free primary tumours and primary tumours that relapsed as local recurrences. CONCLUSIONS: RISK and ROR-P are prognostic for primary tumours metastasizing to the brain. All four scores, RISK, RS, EP and ROR-P failed to discriminate between primary tumours that remained recurrence-free and primary tumours relapsing as local recurrences. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5752-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-07 /pmc/articles/PMC6556009/ /pubmed/31174485 http://dx.doi.org/10.1186/s12885-019-5752-8 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. 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.
spellingShingle Research Article
Bustamante Eduardo, Mariana
Popovici, Vlad
Imboden, Sara
Aebi, Stefan
Ballabio, Nadja
Altermatt, Hans Jörg
Günthert, Andreas
Jaggi, Rolf
Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases
title Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases
title_full Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases
title_fullStr Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases
title_full_unstemmed Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases
title_short Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases
title_sort characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556009/
https://www.ncbi.nlm.nih.gov/pubmed/31174485
http://dx.doi.org/10.1186/s12885-019-5752-8
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