Literature DB >> 25932962

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

Bradley M Turner1, Kristin A Skinner2, Ping Tang1, Mary C Jackson1, Nyrie Soukiazian1, Michelle Shayne3, Alissa Huston3, Marilyn Ling4, David G Hicks1.   

Abstract

Oncotype DX (Genomic Health, Redwood City, CA, USA, current list price $4,350.00) is a multigene quantitative reverse transcription-polymerase chain reaction-based assay that estimates the risk of distant recurrence and predicts chemotherapy benefit for patients with estrogen receptor (ER)-positive breast cancers. Studies have suggested that standard histologic variables can provide similar information. Klein and Dabbs et al have shown that Oncotype DX recurrence scores can be estimated by incorporating standard histologic variables into equations (Magee equations). Using a simple modification of the Magee equation, we predict the Oncotype DX recurrence score in an independent set of 283 cases. The Pearson correlation coefficient (r) for the Oncotype DX and average modified Magee recurrence scores was 0.6644 (n=283; P<0.0001). 100% of cases with an average modified Magee recurrence score>30 (n=8) or an average modified Magee recurrence score<9 (with an available Ki-67, n=5) would have been correctly predicted to have a high or low Oncotype DX recurrence score, respectively. 86% (38/44) of cases with an average modified Magee recurrence score≤12, and 89% (34/38) of low grade tumors (NS<6) with an ER and PR≥150, and a Ki-67<10%, would have been correctly predicted to have a low Oncotype DX recurrence score. Using an algorithmic approach to eliminate high and low risk cases, between 5% and 23% of cases would potentially not have been sent by our institution for Oncotype DX testing, creating a potential cost savings between $56,550.00 and $282,750.00. The modified Magee recurrence score along with histologic criteria may be a cost-effective alternative to the Oncotype DX in risk stratifying certain breast cancer patients. The information needed is already generated by many pathology laboratories during the initial assessment of primary breast cancer, and the equations are free.

Entities:  

Mesh:

Year:  2015        PMID: 25932962     DOI: 10.1038/modpathol.2015.50

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


  52 in total

1.  Can features evaluated in the routine pathologic assessment of lymph node-negative estrogen receptor-positive stage I or II invasive breast cancer be used to predict the Oncotype DX recurrence score?

Authors:  Jena Auerbach; Mimi Kim; Susan Fineberg
Journal:  Arch Pathol Lab Med       Date:  2010-11       Impact factor: 5.534

2.  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

Review 3.  Pathological work up of the primary tumor: getting the proper information out of it.

Authors:  Giuseppe Viale
Journal:  Breast       Date:  2011-10       Impact factor: 4.380

4.  A lower Allred score for progesterone receptor is strongly associated with a higher recurrence score of 21-gene assay in breast cancer.

Authors:  Ping Tang; Jianmin Wang; David G Hicks; Xi Wang; Linda Schiffhauer; Loralee McMahon; Qi Yang; Michelle Shayne; Alissa Huston; Kristin A Skinner; Jennifer Griggs; Gary Lyman
Journal:  Cancer Invest       Date:  2010-11       Impact factor: 2.176

5.  Chemotherapy use for hormone receptor-positive, lymph node-negative breast cancer.

Authors:  Michael J Hassett; Melissa E Hughes; Joyce C Niland; Stephen B Edge; Richard L Theriault; Yu-Ning Wong; John Wilson; W Bradford Carter; Douglas W Blayney; Jane C Weeks
Journal:  J Clin Oncol       Date:  2008-10-27       Impact factor: 44.544

Review 6.  Proliferation is the strongest prognosticator in node-negative breast cancer: significance, error sources, alternatives and comparison with molecular prognostic markers.

Authors:  Jan P A Baak; Einar Gudlaugsson; Ivar Skaland; Lydia Hui Ru Guo; Jan Klos; Tone Hoel Lende; Håvard Søiland; Emiel A M Janssen; Axel Zur Hausen
Journal:  Breast Cancer Res Treat       Date:  2008-07-30       Impact factor: 4.872

7.  Is oncotype DX recurrence score (RS) of prognostic value once HER2-positive and. low-ER expression patients are removed?

Authors:  Meghan Milburn; Martin Rosman; Charles Mylander; Lorraine Tafra
Journal:  Breast J       Date:  2013-05-23       Impact factor: 2.431

8.  Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer.

Authors:  Maureen Cronin; Chithra Sangli; Mei-Lan Liu; Mylan Pho; Debjani Dutta; Anhthu Nguyen; Jennie Jeong; Jenny Wu; Kim Clark Langone; Drew Watson
Journal:  Clin Chem       Date:  2007-04-26       Impact factor: 8.327

9.  Use of Oncotype DX in Women with Node-Positive Breast Cancer.

Authors:  Naoko Ishibe; Sheri Schully; Andrew Freedman; Scott David Ramsey
Journal:  PLoS Curr       Date:  2011-07-21

10.  Prediction of the Oncotype DX recurrence score: use of pathology-generated equations derived by linear regression analysis.

Authors:  Molly E Klein; David J Dabbs; Yongli Shuai; Adam M Brufsky; Rachel Jankowitz; Shannon L Puhalla; Rohit Bhargava
Journal:  Mod Pathol       Date:  2013-03-15       Impact factor: 7.842

View more
  24 in total

1.  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

2.  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

3.  Estimating the OncotypeDX score: validation of an inexpensive estimation tool.

Authors:  Anne A Eaton; Catherine E Pesce; James O Murphy; Michelle M Stempel; Sujata M Patil; Edi Brogi; Clifford A Hudis; Mahmoud El-Tamer
Journal:  Breast Cancer Res Treat       Date:  2016-12-07       Impact factor: 4.872

4.  Magee Equations™ and response to neoadjuvant chemotherapy in ER+/HER2-negative breast cancer: a multi-institutional study.

Authors:  Rohit Bhargava; Nicole N Esposito; Siobhan M OʹConnor; Zaibo Li; Bradley M Turner; Ioana Moisini; Aditi Ranade; Ronald P Harris; Dylan V Miller; Xiaoxian Li; Harrison Moosavi; Beth Z Clark; Adam M Brufsky; David J Dabbs
Journal:  Mod Pathol       Date:  2020-07-13       Impact factor: 7.842

5.  Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset.

Authors:  Michael R Harowicz; Timothy J Robinson; Michaela A Dinan; Ashirbani Saha; Jeffrey R Marks; P Kelly Marcom; Maciej A Mazurowski
Journal:  Breast Cancer Res Treat       Date:  2017-01-07       Impact factor: 4.872

6.  Will oncotype DX DCIS testing guide therapy? A single-institution correlation of oncotype DX DCIS results with histopathologic findings and clinical management decisions.

Authors:  Chieh-Yu Lin; Kelly Mooney; Winward Choy; Soo-Ryum Yang; Keegan Barry-Holson; Kathleen Horst; Irene Wapnir; Kimberly Allison
Journal:  Mod Pathol       Date:  2017-12-15       Impact factor: 7.842

7.  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

8.  Magee Equation 3 predicts pathologic response to neoadjuvant systemic chemotherapy in estrogen receptor positive, HER2 negative/equivocal breast tumors.

Authors:  Daniel J Farrugia; Alessandra Landmann; Li Zhu; Emilia J Diego; Ronald R Johnson; Marguerite Bonaventura; Atilla Soran; David J Dabbs; Beth Z Clark; Shannon L Puhalla; Rachel C Jankowitz; Adam M Brufsky; Barry C Lembersky; Gretchen M Ahrendt; Priscilla F McAuliffe; Rohit Bhargava
Journal:  Mod Pathol       Date:  2017-05-26       Impact factor: 7.842

9.  The 21-gene recurrence score in special histologic subtypes of breast cancer with favorable prognosis.

Authors:  Gulisa Turashvili; Edi Brogi; Monica Morrow; Clifford Hudis; Maura Dickler; Larry Norton; Hannah Y Wen
Journal:  Breast Cancer Res Treat       Date:  2017-06-03       Impact factor: 4.872

10.  Impact of Genomic Assay Testing and Clinical Factors on Chemotherapy Use After Implementation of Standardized Testing Criteria.

Authors:  Kelsey H Natsuhara; Katya Losk; Tari A King; Nancy U Lin; Kristen Camuso; Mehra Golshan; Stephen Pochebit; Jane E Brock; Craig A Bunnell; Rachel A Freedman
Journal:  Oncologist       Date:  2018-08-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.