Literature DB >> 19440719

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

I T H Au-Yong1, A J Evans, S Taneja, E A Rakha, A R Green, C Paish, I O Ellis.   

Abstract

Ultrasound is a useful adjunct to mammography for the characterisation and biopsy of solid breast lesions. Protein expression profiling of breast cancer has identified specific subgroups with potential clinical, biological and therapeutic implications. The aim of this study was to determine the ultrasound correlates of these novel molecular classes of invasive breast cancer. The ultrasound findings in 358 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 in which 25 proteins of known relevance in breast cancer were assessed, including hormone receptors, HER2 status, basal and luminal markers, p53 and e-cadherin. The proportion of occult lesions was not significantly different in the two groups. Significant differences were noted between the two groups expressing luminal epithelial markers and hormone receptors (1 and 2), including a greater proportion of ill-defined, irregular and distally attenuating tumours in group 2. Tumours characterised by c-erbB2/MUC1 expression, with weak hormone receptor positivity (group 3) were also more likely to be ill defined. Tumours expressing basal markers (group 5) were less likely to have an echogenic halo. The ultrasound features of breast cancer show areas of significant correlation with molecular classes of invasive breast cancer identified by IHC analysis. The biological reasons for these findings and their implications regarding imaging protocols require further study and may enable improved detection of these lesions.

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Year:  2009        PMID: 19440719     DOI: 10.1007/s00330-009-1418-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  27 in total

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Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

Review 2.  An overview of assessment of prognostic and predictive factors in breast cancer needle core biopsy specimens.

Authors:  E A Rakha; I O Ellis
Journal:  J Clin Pathol       Date:  2007-07-14       Impact factor: 3.411

3.  High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses.

Authors:  Dalia M Abd El-Rehim; Graham Ball; Sarah E Pinder; Emad Rakha; Claire Paish; John F R Robertson; Douglas Macmillan; Roger W Blamey; Ian O Ellis
Journal:  Int J Cancer       Date:  2005-09-01       Impact factor: 7.396

4.  Sonographic evaluation of infiltrating lobular carcinoma.

Authors:  R S Butler; L A Venta; E L Wiley; R L Ellis; P J Dempsey; E Rubin
Journal:  AJR Am J Roentgenol       Date:  1999-02       Impact factor: 3.959

5.  Tubular carcinoma of the breast: mammographic and sonographic features.

Authors:  D G Sheppard; G J Whitman; P T Huynh; A A Sahin; B D Fornage; C B Stelling
Journal:  AJR Am J Roentgenol       Date:  2000-01       Impact factor: 3.959

6.  The natural history of breast carcinoma: what have we learned from screening?

Authors:  L Tabár; S W Duffy; B Vitak; H H Chen; T C Prevost
Journal:  Cancer       Date:  1999-08-01       Impact factor: 6.860

7.  Tubular carcinoma of the breast: mammographic, sonographic, clinical and pathologic findings.

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8.  A BRCA1/2 mutation, high breast density and prominent pushing margins of a tumor independently contribute to a frequent false-negative mammography.

Authors:  Madeleine Tilanus-Linthorst; Leon Verhoog; Inge-Marie Obdeijn; Karina Bartels; Marian Menke-Pluymers; Alexander Eggermont; Jan Klijn; Hanne Meijers-Heijboer; Theo van der Kwast; Cecile Brekelmans
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Review 9.  The role of epithelial-mesenchymal transition in cancer pathology.

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Journal:  Pathology       Date:  2007-06       Impact factor: 5.306

10.  Sonographic features of breast carcinoma presenting as masses in BRCA gene mutation carriers.

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  11 in total

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Journal:  Oncologist       Date:  2013-07-02

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

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Journal:  J Cancer Res Clin Oncol       Date:  2021-10-08       Impact factor: 4.553

3.  Radiomics features on ultrasound imaging for the prediction of disease-free survival in triple negative breast cancer: a multi-institutional study.

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4.  Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer.

Authors:  Jung Min Chang; In Ae Park; Su Hyun Lee; Won Hwa Kim; Min Sun Bae; Hye Ryoung Koo; Ann Yi; Seung Ja Kim; Nariya Cho; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2013-05-15       Impact factor: 5.315

5.  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

6.  Shear-wave elastography and greyscale assessment of palpable probably benign masses: is biopsy always required?

Authors:  Elisabetta Giannotti; Sarah Vinnicombe; Kim Thomson; Dennis McLean; Colin Purdie; Lee Jordan; Andy Evans
Journal:  Br J Radiol       Date:  2016-03-23       Impact factor: 3.039

7.  Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision.

Authors:  Lei Zhang; Jing Li; Yun Xiao; Hao Cui; Guoqing Du; Ying Wang; Ziyao Li; Tong Wu; Xia Li; Jiawei Tian
Journal:  Sci Rep       Date:  2015-06-05       Impact factor: 4.379

8.  The differences in ultrasound and clinicopathological features between basal-like and normal-like subtypes of triple negative breast cancer.

Authors:  Ziyao Li; Min Ren; Jiawei Tian; Shuangquan Jiang; Yujie Liu; Lei Zhang; Zhenzhen Wang; Qianqian Song; Chong Liu; Tong Wu
Journal:  PLoS One       Date:  2015-03-03       Impact factor: 3.240

9.  The potential role of nanotechnology in therapeutic approaches for triple negative breast cancer.

Authors:  Rebecca Johnson; Nirupama Sabnis; Walter J McConathy; Andras G Lacko
Journal:  Pharmaceutics       Date:  2013       Impact factor: 6.321

10.  Computer-aided evaluation of the correlation between MRI morphology and immunohistochemical biomarkers or molecular subtypes in breast cancer.

Authors:  Sen Jiang; You-Jia Hong; Fan Zhang; Yang-Kang Li
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

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