Literature DB >> 16924440

The correlation of mammographic-and histologic patterns of breast cancers in BRCA1 gene mutation carriers, compared to age-matched sporadic controls.

R Kaas1, R Kroger, J L Peterse, A A M Hart, S H Muller.   

Abstract

Breast cancers in BRCA1 gene mutation carriers often have specific histologic features: grade III tumors with pushing margins. Our purpose was to compare the mammographic and histologic features of breast cancers in carriers with those in age-matched sporadic controls. The features of breast cancers in 27 BRCA1 carriers found during annual surveillance were compared to those in 107 age-matched sporadic controls. The carriers had no (classic) spiculated mammographic lesions, a high percentage of well-defined masses and hardly any masses with microcalcifications, whereas the controls had significantly fewer well-defined ones and only in 27% spiculated lesions on the mammogram. The well-defined mammographic tumors correlated in 83% of the carriers and in 70% of the controls with histologic circumscribed tumor margins. Spiculated mammographic lesions in the controls were in 90% grade I or II tumors. DCIS with or without infiltration was seen in 22% of the carriers and in 45% of the controls. In conclusion, breast cancers diagnosed in BRCA1 carriers do not have classic malignant mammographic features. A minority of the young sporadic controls show the classic malignant lesion on the mammogram. Both carriers and controls generally show a good correlation between their mammographic- and histologic tumor pattern.

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Year:  2006        PMID: 16924440     DOI: 10.1007/s00330-006-0385-0

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


  16 in total

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Authors:  Harmine M Zonderland; Thomas L Pope; Arend J Nieborg
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2.  Short communication: breast parenchymal patterns and their changes with age.

Authors:  C H van Gils; J D Otten; A L Verbeek; J H Hendriks
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3.  Pathology of familial breast cancer: differences between breast cancers in carriers of BRCA1 or BRCA2 mutations and sporadic cases. Breast Cancer Linkage Consortium.

Authors: 
Journal:  Lancet       Date:  1997-05-24       Impact factor: 79.321

4.  Major improvement in the efficacy of BRCA1 mutation screening using morphoclinical features of breast cancer.

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Journal:  Cancer Res       Date:  2000-03-01       Impact factor: 12.701

5.  The significance of circumscribed malignant mammographic masses in the surveillance of BRCA 1/2 gene mutation carriers.

Authors:  R Kaas; R Kroger; J H C L Hendriks; A P E Besnard; W Koops; F A Pameijer; W Prevoo; C E Loo; S H Muller
Journal:  Eur Radiol       Date:  2004-04-09       Impact factor: 5.315

6.  Breast cancer in young women: clinicopathological features and biological specificity.

Authors:  A Sidoni; A Cavaliere; G Bellezza; M Scheibel; E Bucciarelli
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8.  Frequency of BRCA1/BRCA2 mutations in a population-based sample of young breast carcinoma cases.

Authors:  K E Malone; J R Daling; C Neal; N M Suter; C O'Brien; K Cushing-Haugen; T J Jonasdottir; J D Thompson; E A Ostrander
Journal:  Cancer       Date:  2000-03-15       Impact factor: 6.860

9.  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
Journal:  Int J Cancer       Date:  2002-11-01       Impact factor: 7.396

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Authors:  H Papelard; G H de Bock; R van Eijk; T P Vliet Vlieland; C J Cornelisse; P Devilee; R A Tollenaar
Journal:  Br J Cancer       Date:  2000-09       Impact factor: 7.640

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  8 in total

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2.  High-Grade Serous Ovarian Cancer: Associations between BRCA Mutation Status, CT Imaging Phenotypes, and Clinical Outcomes.

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Journal:  Radiology       Date:  2017-06-16       Impact factor: 11.105

3.  Mammographic density does not differ between unaffected BRCA1/2 mutation carriers and women at low-to-average risk of breast cancer.

Authors:  Gretchen L Gierach; Jennifer T Loud; Catherine K Chow; Sheila A Prindiville; Jennifer Eng-Wong; Peter W Soballe; Claudia Giambartolomei; Phuong L Mai; Claudia E Galbo; Kathryn Nichols; Kathleen A Calzone; Celine Vachon; Mitchell H Gail; Mark H Greene
Journal:  Breast Cancer Res Treat       Date:  2010-02-04       Impact factor: 4.872

4.  Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.

Authors:  Laurie R Margolies; Gaurav Pandey; Eliot R Horowitz; David S Mendelson
Journal:  AJR Am J Roentgenol       Date:  2015-11-20       Impact factor: 3.959

5.  Mammographic density and breast cancer in women from high risk families.

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6.  Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study.

Authors:  Gretchen L Gierach; Hui Li; Jennifer T Loud; Mark H Greene; Catherine K Chow; Li Lan; Sheila A Prindiville; Jennifer Eng-Wong; Peter W Soballe; Claudia Giambartolomei; Phuong L Mai; Claudia E Galbo; Kathryn Nichols; Kathleen A Calzone; Olufunmilayo I Olopade; Mitchell H Gail; Maryellen L Giger
Journal:  Breast Cancer Res       Date:  2014-08-23       Impact factor: 6.466

7.  Assistance by Routine CT Features Combined With 3D Texture Analysis in the Diagnosis of BRCA Gene Mutation Status in Advanced Epithelial Ovarian Cancer.

Authors:  Meng-Ru Li; Ming-Zhu Liu; Ya-Qiong Ge; Ying Zhou; Wei Wei
Journal:  Front Oncol       Date:  2021-07-26       Impact factor: 6.244

8.  Breast tumor characteristics of BRCA1 and BRCA2 gene mutation carriers on MRI.

Authors:  J Veltman; R Mann; T Kok; I M Obdeijn; N Hoogerbrugge; J G Blickman; C Boetes
Journal:  Eur Radiol       Date:  2008-02-13       Impact factor: 5.315

  8 in total

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