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Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon

PURPOSE: To evaluate whether the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon could reflect the genomic information of breast cancers and to suggest intuitive imaging features as biomarkers. METHODS: Matched breast MRI data from The Cancer Imaging Archive and gene expression profil...

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Autores principales: Kim, Ga Ram, Ku, You Jin, Cho, Soon Gu, Kim, Sei Joong, Min, Byung Soh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Surgical Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507787/
https://www.ncbi.nlm.nih.gov/pubmed/28706887
http://dx.doi.org/10.4174/astr.2017.93.1.18
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author Kim, Ga Ram
Ku, You Jin
Cho, Soon Gu
Kim, Sei Joong
Min, Byung Soh
author_facet Kim, Ga Ram
Ku, You Jin
Cho, Soon Gu
Kim, Sei Joong
Min, Byung Soh
author_sort Kim, Ga Ram
collection PubMed
description PURPOSE: To evaluate whether the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon could reflect the genomic information of breast cancers and to suggest intuitive imaging features as biomarkers. METHODS: Matched breast MRI data from The Cancer Imaging Archive and gene expression profile from The Cancer Genome Atlas of 70 invasive breast cancers were analyzed. Magnetic resonance images were reviewed according to the BI-RADS MRI lexicon of mass morphology. The cancers were divided into 2 groups of gene clustering by gene set enrichment an alysis. Clinicopathologic and imaging characteristics were compared between the 2 groups. RESULTS: The luminal subtype was predominant in the group 1 gene set and the triple-negative subtype was predominant in the group 2 gene set (55 of 56, 98.2% vs. 9 of 14, 64.3%). Internal enhancement descriptors were different between the 2 groups; heterogeneity was most frequent in group 1 (27 of 56, 48.2%) and rim enhancement was dominant in group 2 (10 of 14, 71.4%). In group 1, the gene sets related to mammary gland development were overexpressed whereas the gene sets related to mitotic cell division were overexpressed in group 2. CONCLUSION: We identified intuitive imaging features of breast MRI associated with distinct gene expression profiles using the standard imaging variables of BI-RADS. The internal enhancement pattern on MRI might reflect specific gene expression profiles of breast cancers, which can be recognized by visual distinction.
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spelling pubmed-55077872017-07-13 Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon Kim, Ga Ram Ku, You Jin Cho, Soon Gu Kim, Sei Joong Min, Byung Soh Ann Surg Treat Res Original Article PURPOSE: To evaluate whether the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon could reflect the genomic information of breast cancers and to suggest intuitive imaging features as biomarkers. METHODS: Matched breast MRI data from The Cancer Imaging Archive and gene expression profile from The Cancer Genome Atlas of 70 invasive breast cancers were analyzed. Magnetic resonance images were reviewed according to the BI-RADS MRI lexicon of mass morphology. The cancers were divided into 2 groups of gene clustering by gene set enrichment an alysis. Clinicopathologic and imaging characteristics were compared between the 2 groups. RESULTS: The luminal subtype was predominant in the group 1 gene set and the triple-negative subtype was predominant in the group 2 gene set (55 of 56, 98.2% vs. 9 of 14, 64.3%). Internal enhancement descriptors were different between the 2 groups; heterogeneity was most frequent in group 1 (27 of 56, 48.2%) and rim enhancement was dominant in group 2 (10 of 14, 71.4%). In group 1, the gene sets related to mammary gland development were overexpressed whereas the gene sets related to mitotic cell division were overexpressed in group 2. CONCLUSION: We identified intuitive imaging features of breast MRI associated with distinct gene expression profiles using the standard imaging variables of BI-RADS. The internal enhancement pattern on MRI might reflect specific gene expression profiles of breast cancers, which can be recognized by visual distinction. The Korean Surgical Society 2017-07 2017-06-26 /pmc/articles/PMC5507787/ /pubmed/28706887 http://dx.doi.org/10.4174/astr.2017.93.1.18 Text en Copyright © 2017, the Korean Surgical Society http://creativecommons.org/licenses/by-nc/4.0/ Annals of Surgical Treatment and Research is an Open Access Journal. All articles are distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Ga Ram
Ku, You Jin
Cho, Soon Gu
Kim, Sei Joong
Min, Byung Soh
Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon
title Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon
title_full Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon
title_fullStr Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon
title_full_unstemmed Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon
title_short Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon
title_sort associations between gene expression profiles of invasive breast cancer and breast imaging reporting and data system mri lexicon
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507787/
https://www.ncbi.nlm.nih.gov/pubmed/28706887
http://dx.doi.org/10.4174/astr.2017.93.1.18
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