Literature DB >> 18929040

The mammographic correlations of a new immunohistochemical classification of invasive breast cancer.

S Taneja1, A J Evans, E A Rakha, A R Green, G Ball, I O Ellis.   

Abstract

AIM: Recent protein expression profiling of breast cancer has identified specific subtypes with clinical, biological, and therapeutic implications. The aim of this study was to identify the mammographic correlates of these novel molecular classes of invasive breast cancer.
MATERIALS AND METHODS: The mammographic findings of 415 patients with operable breast cancer were correlated with the previously described protein expression classes identified by our group using immunohistochemical (IHC) assessment of a large series of breast cancer cases prepared as tissue microarrays (TMAs). Twenty-five proteins of known relevance in breast cancer were assessed, including hormone receptors, HER-2 status, basal and luminal markers, p53 expression, and E-cadherin.
RESULTS: The mammographic background pattern and proportion of lesions that were mammographically occult were similar in all groups. Groups characterized by luminal and hormone receptor positivity had significantly more spiculate lesions at mammography. Groups characterized by HER-2 overexpression, basal characteristics, and E-cadherin positivity had a significantly higher proportion of ill-defined masses. These findings were independent of histological grade.
CONCLUSION: The mammographic features of breast cancer show significant correlation with molecular classes of invasive breast cancer identified by protein expression IHC analysis. The biological reasons for the findings and implications of these regarding imaging protocols require further study and may provide mechanisms for improvement of detection of these lesions.

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Year:  2008        PMID: 18929040     DOI: 10.1016/j.crad.2008.06.006

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  8 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.  Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI.

Authors:  Shuxian Niu; Wenyan Jiang; Nannan Zhao; Tao Jiang; Yue Dong; Yahong Luo; Tao Yu; Xiran Jiang
Journal:  J Cancer Res Clin Oncol       Date:  2021-10-08       Impact factor: 4.553

3.  Immunohistochemical Subtypes of The Breast Cancer in The Ultrasound and Clinical Aspect - Literature Review.

Authors:  Katarzyna Dobruch-Sobczak; Magdalena Gumowska; Joanna Mączewska; Agnieszka Kolasińska-Ćwikła; Paweł Guzik
Journal:  J Ultrason       Date:  2022-04-27

4.  Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms.

Authors:  Mengwei Ma; Renyi Liu; Chanjuan Wen; Weimin Xu; Zeyuan Xu; Sina Wang; Jiefang Wu; Derun Pan; Bowen Zheng; Genggeng Qin; Weiguo Chen
Journal:  Eur Radiol       Date:  2021-10-13       Impact factor: 7.034

5.  Sonographic correlations with the new molecular classification of invasive breast cancer.

Authors:  I T H Au-Yong; A J Evans; S Taneja; E A Rakha; A R Green; C Paish; I O Ellis
Journal:  Eur Radiol       Date:  2009-05-14       Impact factor: 5.315

6.  Imaging features of sporadic breast cancer in women under 40 years old: 97 cases.

Authors:  Bénédicte Bullier; Gaétan MacGrogan; Hervé Bonnefoi; Gabrielle Hurtevent-Labrot; Edouard Lhomme; Véronique Brouste; Martine Boisserie-Lacroix
Journal:  Eur Radiol       Date:  2013-08-06       Impact factor: 5.315

7.  Mammographic tumour appearance is related to clinicopathological factors and surrogate molecular breast cancer subtype.

Authors:  Li Sturesdotter; Malte Sandsveden; Kristin Johnson; Anna-Maria Larsson; Sophia Zackrisson; Hanna Sartor
Journal:  Sci Rep       Date:  2020-11-30       Impact factor: 4.379

Review 8.  Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.

Authors:  Toshiki Kazama; Taro Takahara; Jun Hashimoto
Journal:  Life (Basel)       Date:  2022-03-28
  8 in total

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