Literature DB >> 33404851

The implementation of a commercially available multi-gene profile test for breast cancer characterization in a department of pathology: what have we learned from the first 100 cases?

Cristina Pelliccia1, Emanuele Caselli1, Martina Mandarano2, Rachele Del Sordo1, Guido Bellezza1, Angelo Sidoni1.   

Abstract

Analysis of breast cancer prognostic and predictive factors is still nowadays poorly accurate and standardized. The advent of multi-gene expression profiles (MGEPs) has improved the prediction of breast cancer outcome, particularly regarding early luminal breast cancers (LBCs). The availability in our Institute of EndoPredict® (EP), a last-generation prognostic gene signature assay, has prompted us to study a series of LBCs, firstly verifying its reproducibility on six routine representative cases, either presenting non-optimal preanalytical conditions or different tumor samples from the same patient; secondly, correlating EP results on 8 retrospectively recruited samples with patients' follow-up; thirdly, applying prospectively EP on 100 routinely diagnosed cases, assessing the oncologists' and pathologists' attitude toward it. The complete reproducibility of EP on all the samples investigated in the first phase allowed to state that EP overcomes the detrimental effects of an inaccurate pre-analytic phase, determining the most appropriate prognostic and predictive parameters of breast cancer. The second phase confirmed EP as a fundamental tool in guiding therapeutic decision, improving the classical bio-pathological characterization and recovering 38% patients' inadequately managed. Finally, the study disclosed how oncologists sometimes inadequately requested EP, but also how it allows a better stratification of breast cancer otherwise considered poorly aggressive and not requiring an EP test, such as G1 neoplasms or tubular histotype. In conclusion, the introduction of EP test in an Anatomic Pathology Department emerges as a useful tool in routine breast cancer diagnosis, both for the characterization of individual cases and, as a result, for more appropriate therapeutic choices.

Entities:  

Keywords:  Adjuvant chemotherapy; Breast cancer; EndoPredict®; Endocrine therapy; Multi-gene expression profiling; Personalized medicine

Year:  2021        PMID: 33404851     DOI: 10.1007/s00428-020-02994-3

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  25 in total

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Authors:  Karen L Kaul
Journal:  Virchows Arch       Date:  2017-05-16       Impact factor: 4.064

Review 2.  Implementation of a Precision Pathology Program Focused on Oncology-Based Prognostic and Predictive Outcomes.

Authors:  Michael J Donovan; Carlos Cordon-Cardo
Journal:  Mol Diagn Ther       Date:  2017-04       Impact factor: 4.074

Review 3.  The updated ASCO/CAP guideline recommendations for HER2 testing in the management of invasive breast cancer: a critical review of their implications for routine practice.

Authors:  Emad A Rakha; Jane Starczynski; Andrew H S Lee; Ian O Ellis
Journal:  Histopathology       Date:  2014-01-31       Impact factor: 5.087

Review 4.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version).

Authors:  M Elizabeth H Hammond; Daniel F Hayes; Mitch Dowsett; D Craig Allred; Karen L Hagerty; Sunil Badve; Patrick L Fitzgibbons; Glenn Francis; Neil S Goldstein; Malcolm Hayes; David G Hicks; Susan Lester; Richard Love; Pamela B Mangu; Lisa McShane; Keith Miller; C Kent Osborne; Soonmyung Paik; Jane Perlmutter; Anthony Rhodes; Hironobu Sasano; Jared N Schwartz; Fred C G Sweep; Sheila Taube; Emina Emilia Torlakovic; Paul Valenstein; Giuseppe Viale; Daniel Visscher; Thomas Wheeler; R Bruce Williams; James L Wittliff; Antonio C Wolff
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5.  Molecular portraits of human breast tumours.

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Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

6.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.

Authors:  Antonio C Wolff; M Elizabeth H Hammond; Jared N Schwartz; Karen L Hagerty; D Craig Allred; Richard J Cote; Mitchell Dowsett; Patrick L Fitzgibbons; Wedad M Hanna; Amy Langer; Lisa M McShane; Soonmyung Paik; Mark D Pegram; Edith A Perez; Michael F Press; Anthony Rhodes; Catharine Sturgeon; Sheila E Taube; Raymond Tubbs; Gail H Vance; Marc van de Vijver; Thomas M Wheeler; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2006-12-11       Impact factor: 44.544

Review 7.  Strategies for developing Ki67 as a useful biomarker in breast cancer.

Authors:  Carsten Denkert; Jan Budczies; Gunter von Minckwitz; Stephan Wienert; Sibylle Loibl; Frederick Klauschen
Journal:  Breast       Date:  2015-08-14       Impact factor: 4.380

Review 8.  Breast Tumor Heterogeneity: Source of Fitness, Hurdle for Therapy.

Authors:  Shany Koren; Mohamed Bentires-Alj
Journal:  Mol Cell       Date:  2015-11-19       Impact factor: 17.970

9.  Updated 2013 College of American Pathologists/American Society of Clinical Oncology (CAP/ASCO) guideline recommendations for human epidermal growth factor receptor 2 (HER2) fluorescent in situ hybridization (FISH) testing increase HER2 positive and HER2 equivocal breast cancer cases; retrospective study of HER2 FISH results of 836 invasive breast cancers.

Authors:  Kamaljeet Singh; Umadevi Tantravahi; Michele M Lomme; Terese Pasquariello; Margaret Steinhoff; C James Sung
Journal:  Breast Cancer Res Treat       Date:  2016-05-14       Impact factor: 4.872

Review 10.  Delay to Formalin Fixation (Cold Ischemia Time) Effect on Breast Cancer Molecules.

Authors:  Thaer Khoury
Journal:  Am J Clin Pathol       Date:  2018-03-07       Impact factor: 2.493

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  1 in total

1.  Comparison of risk assessment in 1652 early ER positive, HER2 negative breast cancer in a real-world data set: classical pathological parameters vs. 12-gene molecular assay (EndoPredict).

Authors:  Carsten Denkert; Wolfgang Daniel Schmitt; Paul Jank; Judith Lea Lindner; Annika Lehmann; Berit Maria Pfitzner; Jens-Uwe Blohmer; David Horst; Ralf Kronenwett
Journal:  Breast Cancer Res Treat       Date:  2021-11-16       Impact factor: 4.872

  1 in total

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