Literature DB >> 18360352

Histopathologic variables predict Oncotype DX recurrence score.

Melina B Flanagan1, David J Dabbs, Adam M Brufsky, Sushil Beriwal, Rohit Bhargava.   

Abstract

Oncotype DX is a commercially available reverse transcriptase-polymerase chain reaction based assay that provides a Recurrence Score (RS) and has been shown to provide prognostic and predictive information in estrogen receptor-positive lymph node-negative breast cancers. Independent studies of its utility in routine practice are lacking. Slides and surgical pathology reports from 42 cases of breast carcinomas evaluated by Oncotype DX were retrospectively reviewed to determine patient age, tumor size, histologic grade, estrogen and progesterone receptor (ER and PR) and ERBB2 (HER-2/neu) data, with ER and PR reported as a semi-quantitative score reflecting both intensity of staining and proportion of positive cells. We show here that Recurrence Score is significantly correlated with tubule formation, nuclear grade, mitotic count, ER immunohistochemical score, PR immunohistochemical score, and HER-2/neu status, and that the equation RS=13.424+5.420 (nuclear grade) +5.538 (mitotic count) -0.045 (ER immunohistochemical score) -0.030 (PR immunohistochemical score) +9.486 (HER-2/neu) predicts the Recurrence Score with an R2 of 0.66, indicating that the full model accounts for 66% of the data variability. Although the Oncotype DX Recurrence Score holds potential, further validation of its independent value beyond that of histopathologic analysis is necessary before it can be implemented in clinical decision making.

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Year:  2008        PMID: 18360352     DOI: 10.1038/modpathol.2008.54

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  67 in total

1.  Impact of multigene assays in early stage breast cancer.

Authors:  Shelly S Lo; Kathy S Albain
Journal:  Oncologist       Date:  2011-10-20

2.  A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.

Authors:  David Romo-Bucheli; Andrew Janowczyk; Hannah Gilmore; Eduardo Romero; Anant Madabhushi
Journal:  Cytometry A       Date:  2017-02-13       Impact factor: 4.355

3.  Use of modified Magee equations and histologic criteria to predict the Oncotype DX recurrence score.

Authors:  Bradley M Turner; Kristin A Skinner; Ping Tang; Mary C Jackson; Nyrie Soukiazian; Michelle Shayne; Alissa Huston; Marilyn Ling; David G Hicks
Journal:  Mod Pathol       Date:  2015-05-01       Impact factor: 7.842

4.  The effect of Oncotype DX recurrence score on treatment recommendations for patients with estrogen receptor-positive early stage breast cancer and correlation with estimation of recurrence risk by breast cancer specialists.

Authors:  Jennifer E Joh; Nicole N Esposito; John V Kiluk; Christine Laronga; M Catherine Lee; Loretta Loftus; Hatem Soliman; Judy C Boughey; Carol Reynolds; Thomas J Lawton; Peter I Acs; Lucio Gordan; Geza Acs
Journal:  Oncologist       Date:  2011-10-20

5.  Comparison of Oncotype DX® Recurrence Score® with other risk assessment tools including the Nottingham Prognostic Index in the identification of patients with low-risk invasive breast cancer.

Authors:  Maura Bríd Cotter; Alex Dakin; Aoife Maguire; Janice M Walshe; M John Kennedy; Barbara Dunne; Ciarán Ó Riain; Cecily M Quinn
Journal:  Virchows Arch       Date:  2017-07-14       Impact factor: 4.064

6.  Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

Authors:  Jon Whitney; German Corredor; Andrew Janowczyk; Shridar Ganesan; Scott Doyle; John Tomaszewski; Michael Feldman; Hannah Gilmore; Anant Madabhushi
Journal:  BMC Cancer       Date:  2018-05-30       Impact factor: 4.430

7.  Prevalence, morphologic features and proliferation indices of breast carcinoma molecular classes using immunohistochemical surrogate markers.

Authors:  Rohit Bhargava; Joan Striebel; Sushil Beriwal; John C Flickinger; Agnieszka Onisko; Gretchen Ahrendt; David J Dabbs
Journal:  Int J Clin Exp Pathol       Date:  2009-02-09

Review 8.  [Translational research and diagnostics for breast cancer].

Authors:  H H Kreipe
Journal:  Pathologe       Date:  2012-11       Impact factor: 1.011

9.  Gene expression profiling for guiding adjuvant chemotherapy decisions in women with early breast cancer: an evidence-based and economic analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2010-12-01

Review 10.  [Beyond staging, typing and grading. New challenges in breast cancer pathology].

Authors:  H H Kreipe; P Ahrens; M Christgen; U Lehmann; F Länger
Journal:  Pathologe       Date:  2010-02       Impact factor: 1.011

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