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Refinement of breast cancer molecular classification by miRNA expression profiles

Søkilde, Rolf LU orcid ; Persson, Helena LU orcid ; Ehinger, Anna LU orcid ; Pirona, Anna Chiara ; Fernö, Mårten LU ; Hegardt, Cecilia LU ; Larsson, Christer LU ; Loman, Niklas LU ; Malmberg, Martin LU and Rydén, Lisa LU orcid , et al. (2019) In BMC Genomics 20(1).
Abstract

BACKGROUND: Accurate classification of breast cancer using gene expression profiles has contributed to a better understanding of the biological mechanisms behind the disease and has paved the way for better prognostication and treatment prediction.

RESULTS: We found that miRNA profiles largely recapitulate intrinsic subtypes. In the case of HER2-enriched tumors a small set of miRNAs including the HER2-encoded mir-4728 identifies the group with very high specificity. We also identified differential expression of the miR-99a/let-7c/miR-125b miRNA cluster as a marker for separation of the Luminal A and B subtypes. High expression of this miRNA cluster is linked to better overall survival among patients with Luminal A tumors.... (More)

BACKGROUND: Accurate classification of breast cancer using gene expression profiles has contributed to a better understanding of the biological mechanisms behind the disease and has paved the way for better prognostication and treatment prediction.

RESULTS: We found that miRNA profiles largely recapitulate intrinsic subtypes. In the case of HER2-enriched tumors a small set of miRNAs including the HER2-encoded mir-4728 identifies the group with very high specificity. We also identified differential expression of the miR-99a/let-7c/miR-125b miRNA cluster as a marker for separation of the Luminal A and B subtypes. High expression of this miRNA cluster is linked to better overall survival among patients with Luminal A tumors. Correlation between the miRNA cluster and their precursor LINC00478 is highly significant suggesting that its expression could help improve the accuracy of present day's signatures.

CONCLUSIONS: We show here that miRNA expression can be translated into mRNA profiles and that the inclusion of miRNA information facilitates the molecular diagnosis of specific subtypes, in particular the clinically relevant sub-classification of luminal tumors.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
BMC Genomics
volume
20
issue
1
article number
503
pages
12 pages
publisher
BioMed Central (BMC)
external identifiers
  • pmid:31208318
  • scopus:85067404705
ISSN
1471-2164
DOI
10.1186/s12864-019-5887-7
project
Sweden Cancerome Analysis Network - Breast (SCAN-B): a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine
language
English
LU publication?
yes
id
4ac4a2d7-00dc-4f61-ba11-de7485b8028b
date added to LUP
2019-06-19 13:17:28
date last changed
2024-06-11 17:02:34
@article{4ac4a2d7-00dc-4f61-ba11-de7485b8028b,
  abstract     = {{<p>BACKGROUND: Accurate classification of breast cancer using gene expression profiles has contributed to a better understanding of the biological mechanisms behind the disease and has paved the way for better prognostication and treatment prediction.</p><p>RESULTS: We found that miRNA profiles largely recapitulate intrinsic subtypes. In the case of HER2-enriched tumors a small set of miRNAs including the HER2-encoded mir-4728 identifies the group with very high specificity. We also identified differential expression of the miR-99a/let-7c/miR-125b miRNA cluster as a marker for separation of the Luminal A and B subtypes. High expression of this miRNA cluster is linked to better overall survival among patients with Luminal A tumors. Correlation between the miRNA cluster and their precursor LINC00478 is highly significant suggesting that its expression could help improve the accuracy of present day's signatures.</p><p>CONCLUSIONS: We show here that miRNA expression can be translated into mRNA profiles and that the inclusion of miRNA information facilitates the molecular diagnosis of specific subtypes, in particular the clinically relevant sub-classification of luminal tumors.</p>}},
  author       = {{Søkilde, Rolf and Persson, Helena and Ehinger, Anna and Pirona, Anna Chiara and Fernö, Mårten and Hegardt, Cecilia and Larsson, Christer and Loman, Niklas and Malmberg, Martin and Rydén, Lisa and Saal, Lao and Borg, Åke and Vallon-Christerson, Johan and Rovira, Carlos}},
  issn         = {{1471-2164}},
  language     = {{eng}},
  month        = {{06}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{BMC Genomics}},
  title        = {{Refinement of breast cancer molecular classification by miRNA expression profiles}},
  url          = {{http://dx.doi.org/10.1186/s12864-019-5887-7}},
  doi          = {{10.1186/s12864-019-5887-7}},
  volume       = {{20}},
  year         = {{2019}},
}