Literature DB >> 24558165

Quantitative MRI morphology of invasive breast cancer: correlation with immunohistochemical biomarkers and subtypes.

Min Sun Bae1, Mirinae Seo1, Kwang Gi Kim2, In-Ae Park3, Woo Kyung Moon4.   

Abstract

BACKGROUND: Breast cancer is a heterogeneous disease with intrinsic molecular subtypes. The different biology and histology of breast cancer exhibit different tumor morphology at breast magnetic resonance imaging (MRI). However, few studies have examined the quantitative relationship between the MRI morphological and immunohistochemical features in breast cancer.
PURPOSE: To investigate the correlations between tumor roundness, as quantitatively assessed with MRI and biomarkers or subtypes of breast cancer.
MATERIAL AND METHODS: A total of 280 women (mean age, 51 years; range, 28-79 years) with 282 invasive breast cancers (<5 cm) were included. The associations between the tumor roundness (1-100%), as measured using MRI software, and immunohistochemical (e.g. estrogen receptor [ER], progesterone receptor [PR], human epidermal growth factor receptor 2 [HER2], and Ki67) features were evaluated using Pearson's or Spearman's rank correlation coefficients and multiple linear regression analysis.
RESULTS: An inverse correlation was observed between the ER (r = -0.408, P < 0.001) or PR (r = -0.248, P < 0.001) scores and tumor roundness, whereas a positive correlation was observed between the Ki67 index and tumor roundness (r = 0.354, P < 0.001). In multiple linear regression, the ER score (P < 0.001) and Ki67 index (P = 0.003) were independent factors determining tumor roundness. Triple-negative tumors (ER, PR, and HER2 negative) showed the highest mean roundness scores compared with the other subtypes (e.g. 67.3% for triple-negative, relative to 55.9% for HER2-enriched, 53.8% for luminal B, and 51.7% for luminal A, P < 0.001).
CONCLUSION: Our results suggest that breast tumors with lower ER expression and higher cellular proliferation or biologically aggressive triple-negative tumors are likely to manifest with relatively benign morphologic features. © The Foundation Acta Radiologica 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  Breast neoplasm; Ki67; breast cancer subtype; estrogen receptor; magnetic resonance imaging (MRI)

Mesh:

Substances:

Year:  2014        PMID: 24558165     DOI: 10.1177/0284185114524197

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  19 in total

1.  Role of MRI in the staging of breast cancer patients: does histological type and molecular subtype matter?

Authors:  Almir G V Bitencourt; Nara P Pereira; Luciana K L França; Caroline B Silva; Jociana Paludo; Hugo L S Paiva; Luciana Graziano; Camila S Guatelli; Juliana A Souza; Elvira F Marques
Journal:  Br J Radiol       Date:  2015-09-16       Impact factor: 3.039

2.  Correlation of prostate tumor eccentricity and Gleason scoring from prostatectomy and multi-parametric-magnetic resonance imaging.

Authors:  Rulon Mayer; Charles B Simone; Baris Turkbey; Peter Choyke
Journal:  Quant Imaging Med Surg       Date:  2021-10

Review 3.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

4.  Heterogeneity of triple-negative breast cancer: mammographic, US, and MR imaging features according to androgen receptor expression.

Authors:  Min Sun Bae; So Yeon Park; Sung Eun Song; Won Hwa Kim; Su Hyun Lee; Wonshik Han; In-Ae Park; Dong-Young Noh; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2014-09-16       Impact factor: 5.315

5.  Prostate tumor eccentricity predicts Gleason score better than prostate tumor volume.

Authors:  Rulon Mayer; Charles B Simone; Baris Turkbey; Peter Choyke
Journal:  Quant Imaging Med Surg       Date:  2022-02

6.  Immunohistochemical Subtypes of Breast Cancer: Correlation with Clinicopathological and Radiological Factors.

Authors:  Yu-Mee Sohn; Kyunghwa Han; Mirinae Seo
Journal:  Iran J Radiol       Date:  2016-07-04       Impact factor: 0.212

7.  Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging.

Authors:  Jin Joo Kim; Jin You Kim; Hie Bum Suh; Lee Hwangbo; Nam Kyung Lee; Suk Kim; Ji Won Lee; Ki Seok Choo; Kyung Jin Nam; Taewoo Kang; Heeseung Park
Journal:  Eur Radiol       Date:  2021-08-04       Impact factor: 5.315

8.  Magnetic resonance imaging features of breast cancer according to intrinsic subtypes: correlations with neoadjuvant chemotherapy effects.

Authors:  Hiroko Kawashima; Masafumi Inokuchi; Hiroyuki Furukawa; Hiroko Ikeda; Seiko Kitamura
Journal:  Springerplus       Date:  2014-05-09

9.  The Clinical Significance and Molecular Features of the Spatial Tumor Shapes in Breast Cancers.

Authors:  Hyeong-Gon Moon; Namshin Kim; Seongmun Jeong; Minju Lee; HyunHye Moon; Jongjin Kim; Tae-Kyung Yoo; Han-Byoel Lee; Jisun Kim; Dong-Young Noh; Wonshik Han
Journal:  PLoS One       Date:  2015-12-15       Impact factor: 3.240

10.  Association between Ultrasound Features and the 21-Gene Recurrence Score Assays in Patients with Oestrogen Receptor-Positive, HER2-Negative, Invasive Breast Cancer.

Authors:  Eun Young Chae; Woo Kyung Moon; Hak Hee Kim; Won Hwa Kim; Joo Hee Cha; Hee Jung Shin; Woo Jung Choi; Wonshik Han; Dong-Young Noh; Sae Byul Lee; Sei Hyun Ahn
Journal:  PLoS One       Date:  2016-06-30       Impact factor: 3.240

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