Literature DB >> 19215791

Histopathological criteria and selection algorithms for BRCA1 genetic testing.

Dorothea Gadzicki1, Alexandra Schubert, Christine Fischer, Simone Milde, Ulrich Lehmann, Doris Steinemann, Hans-Joachim Lück, Hans Kreipe, Brigitte Schlegelberger.   

Abstract

To ensure targeted treatment, it would be useful to know at the time of diagnosis whether a BRCA mutation is causally related to an individual breast cancer. The aim of this study was to investigate in an unselected series of breast cancer patients the value of incorporating morphological and immunohistochemical features for the selection of patients who may benefit from BRCA1 genetic testing. In a retrospective approach, histopathological results of tumors from 897 women were reevaluated regarding age at diagnosis, subtype of cancer, tumor grade, and estrogen (ER), progesterone (PR), and Her2/neu receptor status, as well as p53 and Ki67 status. In all, 142 tumors fulfilled morphological criteria indicative of a BRCA1 mutation. Of the 59 women willing to participate, 26 women concomitantly showed a positive family history. Pathogenic BRCA1 germline mutations were detected in 7 of 18 women (39%) (95% confidence interval = 0.17-0.64). All BRCA1-associated tumors were of high grade, invasive-ductal subtype, and PR and Her2/neu negative, and 91% of the tumors were negative for ER; 60% of the tumors showed a high expression of p53 and 60% a high expression of Ki67. There was a significant difference with respect to grading (P = 0.001 for G3), ER negativity (P = 0.0075), Ki67 > or = 65% (P = 0.0039), and triple negativity (i.e., ER(-), PR(-), Her2/neu(-)) (P = 0.0019) between tumors of mutation carriers and noncarriers.

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Year:  2009        PMID: 19215791     DOI: 10.1016/j.cancergencyto.2008.11.003

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  9 in total

1.  Prediction of BRCA1 germline mutation status in women with ovarian cancer using morphology-based criteria: identification of a BRCA1 ovarian cancer phenotype.

Authors:  Mika Fujiwara; Valerie A McGuire; Anna Felberg; Weiva Sieh; Alice S Whittemore; Teri A Longacre
Journal:  Am J Surg Pathol       Date:  2012-08       Impact factor: 6.394

Review 2.  The contribution of breast cancer pathology to statistical models to predict mutation risk in BRCA carriers.

Authors:  Ana Cristina Vargas; Leonard Da Silva; Sunil R Lakhani
Journal:  Fam Cancer       Date:  2010-12       Impact factor: 2.375

3.  Genetic testing for familial/hereditary breast cancer-comparison of guidelines and recommendations from the UK, France, the Netherlands and Germany.

Authors:  Dorothea Gadzicki; D Gareth Evans; Hilary Harris; Claire Julian-Reynier; Irmgard Nippert; Jörg Schmidtke; Aad Tibben; Christi J van Asperen; Brigitte Schlegelberger
Journal:  J Community Genet       Date:  2011-03-02

4.  CK8/18 expression, the basal phenotype, and family history in identifying BRCA1-associated breast cancer in the Ontario site of the breast cancer family registry.

Authors:  Anna Marie Mulligan; Dushanthi Pinnaduwage; Anita L Bane; Shelley B Bull; Frances P O'Malley; Irene L Andrulis
Journal:  Cancer       Date:  2010-11-02       Impact factor: 6.860

Review 5.  Phenotype-genotype correlation in familial breast cancer.

Authors:  Ana Cristina Vargas; Jorge S Reis-Filho; Sunil R Lakhani
Journal:  J Mammary Gland Biol Neoplasia       Date:  2011-03-12       Impact factor: 2.673

6.  Current Issues of Targeted Therapy in Metastatic Triple-Negative Breast Cancer.

Authors:  Cornelia Liedtke; Ludwig Kiesel
Journal:  Breast Care (Basel)       Date:  2011-05-27       Impact factor: 2.860

7.  Ki67 proliferation in core biopsies versus surgical samples - a model for neo-adjuvant breast cancer studies.

Authors:  Quinci Romero; Pär-Ola Bendahl; Marie Klintman; Niklas Loman; Christian Ingvar; Lisa Rydén; Carsten Rose; Dorthe Grabau; Signe Borgquist
Journal:  BMC Cancer       Date:  2011-08-07       Impact factor: 4.430

8.  Factors influencing agreement of breast cancer luminal molecular subtype by Ki67 labeling index between core needle biopsy and surgical resection specimens.

Authors:  Kristina A Tendl-Schulz; Fabian Rössler; Philipp Wimmer; Ulrike M Heber; Martina Mittlböck; Nicolas Kozakowski; Katja Pinker; Rupert Bartsch; Peter Dubsky; Florian Fitzal; Martin Filipits; Fanny Carolina Eckel; Eva-Maria Langthaler; Günther Steger; Michael Gnant; Christian F Singer; Thomas H Helbich; Zsuzsanna Bago-Horvath
Journal:  Virchows Arch       Date:  2020-05-07       Impact factor: 4.064

Review 9.  Clinical validity and clinical utility of Ki67 in early breast cancer.

Authors:  Hans Kreipe; Nadia Harbeck; Matthias Christgen
Journal:  Ther Adv Med Oncol       Date:  2022-09-08       Impact factor: 5.485

  9 in total

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