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Page 51

conferenceseries

.com

6

th

World Congress on

October 16-18, 2017 | San Francisco, USA

Breast Cancer & Therapy

Volume 2, Issue 5 (Suppl)

Breast Can Curr Res, an open access journal

Breast Cancer Congress 2017

October 16-18, 2017

Use of clinicopathologic tumor characteristics to predict results of Oncotype DX 21-gene breast cancer

assay: A review of current nomograms

Amila Orucevic

University of Tennessee, USA

T

he newest version of NCCN guidelines (1.2017) endorses consideration of Oncotype DX 21-gene breast cancer assay results in

decision making for administration of systemic adjuvant chemotherapy treatment of hormone receptor-positive,

HER2

-negative,

node negative (pN0) or micrometastatic node positive patients (pN1mi), with tumor>0.5 cm. Oncotype DX assay was the most

frequently performed assay in the United States, accounting for 97% of all ordered multigene breast cancer tests (based on NCDB

2010-2012 data analysis). The use of multigene assays for breast cancer patients is also embraced by the 8

th

edition of

AJCC Staging

Manual

which will be in use from January 2018, with an idea that the inclusion of multigene assays in the TNM staging offers further

prognostic stratification of breast cancer patients. Unfortunately, multigene assays are expensive and are not affordable or available

for the majority of breast cancer patients (~30% of eligible breast cancer patients underwent Oncotype DX testing in the United

States and <20% in the European countries). The need for finding surrogate (s) for Oncotype DX assay became apparent several years

ago. Three calculators/nomograms are so far freely available online that use clinicopathologic characteristics of breast carcinomas to

predict Oncotype DX results: University of Pittsburgh Magee equation, John Hopkins breast recurrence estimator andThe University

of Tennessee Medical Center Breast Cancer Nomogram predicting for a high-risk and a low-risk Oncotype DX recurrence score.

Methodologies used in creation of these calculators/nomograms will be discussed. Results obtained by the use of calculators will be

presented using several hypothetical breast cancer patients and their tumor characteristics.

Biography

Amila Orucevic obtained her MD degree from Medical School of University of Sarajevo, Bosnia and Herzegovina (1983) and completed her PhD from The University of

Western Ontario, London, Ontario, Canada (1996). She is a Board Certified Pathologist for Anatomic and Clinical Pathology by The American Board of Pathology (2002),

and Board Certified Pathologist for Anatomic Pathology by The Royal College of Physicians and Surgeons of Canada (2002). Currently she is Attending/Staff Pathologist,

Associate Professor, and Director of Research at the Department of Pathology, The University of Tennessee Medical Center, Knoxville, TN, USA. Her research interests are

in breast cancer, as well as gynecologic and colorectal cancer. She has published 26 papers in peer reviewed journals.

Aorucevic@utmck.edu

Amila Orucevic, Breast Can Curr Res 2017, 2:5 (Suppl)

DOI: 10.4172/2572-4118-C1-011