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LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer
BACKGROUND: Leucine-rich repeats and immunoglobulin-like domains 1 (LRIG1) copy number alterations and unbalanced gene recombination events have been reported to occur in breast cancer. Importantly, LRIG1 loss was recently shown to predict early and late relapse in stage I-II breast cancer. METHODS:...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245921/ https://www.ncbi.nlm.nih.gov/pubmed/32448168 http://dx.doi.org/10.1186/s12885-020-06919-w |
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author | Faraz, Mahmood Tellström, Andreas Ardnor, Christina Edwinsdotter Grankvist, Kjell Huminiecki, Lukasz Tavelin, Björn Henriksson, Roger Hedman, Håkan Ljuslinder, Ingrid |
author_facet | Faraz, Mahmood Tellström, Andreas Ardnor, Christina Edwinsdotter Grankvist, Kjell Huminiecki, Lukasz Tavelin, Björn Henriksson, Roger Hedman, Håkan Ljuslinder, Ingrid |
author_sort | Faraz, Mahmood |
collection | PubMed |
description | BACKGROUND: Leucine-rich repeats and immunoglobulin-like domains 1 (LRIG1) copy number alterations and unbalanced gene recombination events have been reported to occur in breast cancer. Importantly, LRIG1 loss was recently shown to predict early and late relapse in stage I-II breast cancer. METHODS: We developed droplet digital PCR (ddPCR) assays for the determination of relative LRIG1 copy numbers and used these assays to analyze LRIG1 in twelve healthy individuals, 34 breast tumor samples previously analyzed by fluorescence in situ hybridization (FISH), and 423 breast tumor cytosols. RESULTS: Four of the LRIG1/reference gene assays were found to be precise and robust, showing copy number ratios close to 1 (mean, 0.984; standard deviation, +/− 0.031) among the healthy control population. The correlation between the ddPCR assays and previous FISH results was low, possibly because of the different normalization strategies used. One in 34 breast tumors (2.9%) showed an unbalanced LRIG1 recombination event. LRIG1 copy number ratios were associated with the breast cancer subtype, steroid receptor status, ERBB2 status, tumor grade, and nodal status. Both LRIG1 loss and gain were associated with unfavorable metastasis-free survival; however, they did not remain significant prognostic factors after adjustment for common risk factors in the Cox regression analysis. Furthermore, LRIG1 loss was not significantly associated with survival in stage I and II cases. CONCLUSIONS: Although LRIG1 gene aberrations may be important determinants of breast cancer biology, and prognostic markers, the results of this study do not verify an important role for LRIG1 copy number analyses in predicting the risk of relapse in early-stage breast cancer. |
format | Online Article Text |
id | pubmed-7245921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72459212020-06-01 LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer Faraz, Mahmood Tellström, Andreas Ardnor, Christina Edwinsdotter Grankvist, Kjell Huminiecki, Lukasz Tavelin, Björn Henriksson, Roger Hedman, Håkan Ljuslinder, Ingrid BMC Cancer Research Article BACKGROUND: Leucine-rich repeats and immunoglobulin-like domains 1 (LRIG1) copy number alterations and unbalanced gene recombination events have been reported to occur in breast cancer. Importantly, LRIG1 loss was recently shown to predict early and late relapse in stage I-II breast cancer. METHODS: We developed droplet digital PCR (ddPCR) assays for the determination of relative LRIG1 copy numbers and used these assays to analyze LRIG1 in twelve healthy individuals, 34 breast tumor samples previously analyzed by fluorescence in situ hybridization (FISH), and 423 breast tumor cytosols. RESULTS: Four of the LRIG1/reference gene assays were found to be precise and robust, showing copy number ratios close to 1 (mean, 0.984; standard deviation, +/− 0.031) among the healthy control population. The correlation between the ddPCR assays and previous FISH results was low, possibly because of the different normalization strategies used. One in 34 breast tumors (2.9%) showed an unbalanced LRIG1 recombination event. LRIG1 copy number ratios were associated with the breast cancer subtype, steroid receptor status, ERBB2 status, tumor grade, and nodal status. Both LRIG1 loss and gain were associated with unfavorable metastasis-free survival; however, they did not remain significant prognostic factors after adjustment for common risk factors in the Cox regression analysis. Furthermore, LRIG1 loss was not significantly associated with survival in stage I and II cases. CONCLUSIONS: Although LRIG1 gene aberrations may be important determinants of breast cancer biology, and prognostic markers, the results of this study do not verify an important role for LRIG1 copy number analyses in predicting the risk of relapse in early-stage breast cancer. BioMed Central 2020-05-24 /pmc/articles/PMC7245921/ /pubmed/32448168 http://dx.doi.org/10.1186/s12885-020-06919-w Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Faraz, Mahmood Tellström, Andreas Ardnor, Christina Edwinsdotter Grankvist, Kjell Huminiecki, Lukasz Tavelin, Björn Henriksson, Roger Hedman, Håkan Ljuslinder, Ingrid LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer |
title | LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer |
title_full | LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer |
title_fullStr | LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer |
title_full_unstemmed | LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer |
title_short | LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancer |
title_sort | lrig1 gene copy number analysis by ddpcr and correlations to clinical factors in breast cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245921/ https://www.ncbi.nlm.nih.gov/pubmed/32448168 http://dx.doi.org/10.1186/s12885-020-06919-w |
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