Literature DB >> 24164299

Routine histopathologic characteristics can predict oncotype DX(TM) recurrence score in subsets of breast cancer patients.

Malcolm D Mattes1, Justin M Mann, Hani Ashamalla, Ajay Tejwani.   

Abstract

This study assessed whether routine pathologic parameters could predict Oncotype DX(TM) recurrence score (RS) in 72 breast cancers diagnosed from 2008-2012. Comparing patients with low RS (0-17) vs. intermediate RS (18-30) vs. high RS (>30), the mean Nottingham score increased (5.5 vs. 6.3 vs. 7.2, respectively, p = .001) and the mean PR Allred score decreased (6.7 vs. 4.9 vs. 3.3, respectively, p = .001). A high RS was least likely for low-grade tumors (0% had high RS, p = .005), and strong PR positivity (9% had high RS, p = .017). A low RS was least likely for cancers that were both high grade and PR weak/negative.

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Year:  2013        PMID: 24164299     DOI: 10.3109/07357907.2013.849725

Source DB:  PubMed          Journal:  Cancer Invest        ISSN: 0735-7907            Impact factor:   2.176


  8 in total

1.  Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay.

Authors:  Elizabeth J Sutton; Jung Hun Oh; Brittany Z Dashevsky; Harini Veeraraghavan; Aditya P Apte; Sunitha B Thakur; Joseph O Deasy; Elizabeth A Morris
Journal:  J Magn Reson Imaging       Date:  2015-04-07       Impact factor: 4.813

2.  A Validated Model for Identifying Patients Unlikely to Benefit From the 21-Gene Recurrence Score Assay.

Authors:  Michele M Gage; Martin Rosman; W Charles Mylander; Erica Giblin; Hyun-Seok Kim; Leslie Cope; Christopher Umbricht; Antonio C Wolff; Lorraine Tafra
Journal:  Clin Breast Cancer       Date:  2015-04-23       Impact factor: 3.225

3.  Optimizing the Use of Gene Expression Profiling in Early-Stage Breast Cancer.

Authors:  Hyun-Seok Kim; Christopher B Umbricht; Peter B Illei; Ashley Cimino-Mathews; Soonweng Cho; Nivedita Chowdhury; Maria Cristina Figueroa-Magalhaes; Catherine Pesce; Stacie C Jeter; Charles Mylander; Martin Rosman; Lorraine Tafra; Bradley M Turner; David G Hicks; Tyler A Jensen; Dylan V Miller; Deborah K Armstrong; Roisin M Connolly; John H Fetting; Robert S Miller; Ben Ho Park; Vered Stearns; Kala Visvanathan; Antonio C Wolff; Leslie Cope
Journal:  J Clin Oncol       Date:  2016-10-31       Impact factor: 44.544

4.  Oncotype DX breast cancer recurrence score can be predicted with a novel nomogram using clinicopathologic data.

Authors:  Amila Orucevic; John L Bell; Alison P McNabb; Robert E Heidel
Journal:  Breast Cancer Res Treat       Date:  2017-02-27       Impact factor: 4.872

5.  BCL-2 expression aids in the immunohistochemical prediction of the Oncotype DX breast cancer recurrence score.

Authors:  Mark D Zarella; Rebecca C Heintzelman; Nikolay K Popnikolov; Fernando U Garcia
Journal:  BMC Clin Pathol       Date:  2018-12-18

6.  Concordance of the 21-gene assay between core needle biopsy and resection specimens in early breast cancer patients.

Authors:  Peng Qi; Yu Yang; Qian-Ming Bai; Tian Xue; Min Ren; Qian-Lan Yao; Wen-Tao Yang; Xiao-Yan Zhou
Journal:  Breast Cancer Res Treat       Date:  2021-01-13       Impact factor: 4.872

7.  Distinguishing Low-Risk Luminal A Breast Cancer Subtypes with Ki-67 and p53 Is More Predictive of Long-Term Survival.

Authors:  Se Kyung Lee; Soo Youn Bae; Jun Ho Lee; Hyun-Chul Lee; Hawoo Yi; Won Ho Kil; Jeong Eon Lee; Seok Won Kim; Seok Jin Nam
Journal:  PLoS One       Date:  2015-08-04       Impact factor: 3.240

8.  Breast Cancer Subtype as a Predictor of Lymph Node Metastasis according to the SEER Registry.

Authors:  Malcolm D Mattes; Jay K Bhatia; Daniel Metzger; Hani Ashamalla; Evangelia Katsoulakis
Journal:  J Breast Cancer       Date:  2015-06-26       Impact factor: 3.588

  8 in total

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