Literature DB >> 23743933

Comparison of Oncotype DX and Mammostrat risk estimations and correlations with histologic tumor features in low-grade, estrogen receptor-positive invasive breast carcinomas.

Geza Acs1, John Kiluk, Loretta Loftus, Christine Laronga.   

Abstract

Several molecular tests have been developed to estimate risk of distant recurrence and help clinical decision-making regarding adjuvant chemotherapy in patients with early stage breast carcinoma. Both Oncotype DX, a 21-gene expression profile, and Mammostrat, an immunohistochemistry-based assay, are validated to stratify patients into groups with low, intermediate and high risk of distant recurrence. However, they have not been compared head-to-head and little data are available regarding their correlation with clinicopathologic tumor features. In this study, we compared the clinicopathologic tumor features with risk estimations by Oncotype DX and Mammostrat in 106 low-grade estrogen receptor (ER)-positive breast carcinomas. Double immunohistochemical stain for pancytokeratin and Ki-67 was performed to assess cell proliferation in cancer vs stromal/inflammatory cells. Tumors showing intermediate/high risk by Oncotype DX, but not by Mammostrat, showed increased stromal cellularity, presence of inflammatory cells and increased proliferation in stromal/inflammatory cells. Discrepant cases showing intermediate/high risk by Oncotype DX but low risk by Mammostrat were associated with increased stromal cellularity, presence of inflammatory cells and increased proliferation in stromal/inflammatory cells, compared with concordant cases showing low risk by both assays. Our results suggest that low-grade ER-positive breast carcinomas with increased stromal/inflammatory cell proliferation may show an apparent increased risk of distant recurrence as assessed by Oncotype DX, which uses RNA extracted from a mixture of tumor and stromal/inflammatory cells in the assay. Mammostrat, which examines cancer cells only, may provide a better estimation of likely tumor behavior in a subgroup of low-grade breast carcinomas.

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Year:  2013        PMID: 23743933     DOI: 10.1038/modpathol.2013.88

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


  8 in total

1.  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

2.  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

3.  Microarray and RNA in situ hybridization assay for recurrence risk markers of breast carcinoma and ductal carcinoma in situ: Evidence supporting the use of diverse pathways panels.

Authors:  Mark Francis Evans; Pamela Mary Vacek; Brian Lee Sprague; Gary Stephen Stein; Janet Lee Stein; Donald Lee Weaver
Journal:  J Cell Biochem       Date:  2019-10-08       Impact factor: 4.429

4.  Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images.

Authors:  David Romo-Bucheli; Andrew Janowczyk; Hannah Gilmore; Eduardo Romero; Anant Madabhushi
Journal:  Sci Rep       Date:  2016-09-07       Impact factor: 4.379

5.  Ki-67 Expression in Breast Cancer Tissue Microarrays: Assessing Tumor Heterogeneity, Concordance With Full Section, and Scoring Methods.

Authors:  Thaer Khoury; Gary Zirpoli; Stephanie M Cohen; Joseph Geradts; Angela Omilian; Warren Davis; Wiam Bshara; Ryan Miller; Michelle M Mathews; Melissa Troester; Julie R Palmer; Christine B Ambrosone
Journal:  Am J Clin Pathol       Date:  2017-08-01       Impact factor: 2.493

6.  A 35-gene signature discriminates between rapidly- and slowly-progressing glioblastoma multiforme and predicts survival in known subtypes of the cancer.

Authors:  Azeez A Fatai; Junaid Gamieldien
Journal:  BMC Cancer       Date:  2018-04-03       Impact factor: 4.430

Review 7.  Panoptic View of Prognostic Models for Personalized Breast Cancer Management.

Authors:  Geetanjali Saini; Karuna Mittal; Padmashree Rida; Emiel A M Janssen; Keerthi Gogineni; Ritu Aneja
Journal:  Cancers (Basel)       Date:  2019-09-07       Impact factor: 6.639

8.  The Utility of Oncotype DX for Adjuvant Chemotherapy Treatment Decisions in Estrogen Receptor-positive, Human Epidermal Growth Factor Receptor 2-negative, Node-negative Breast Cancer.

Authors:  Hirah Rizki; Christopher Hillyar; Omar Abbassi; Sascha Miles-Dua
Journal:  Cureus       Date:  2020-03-14
  8 in total

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