Literature DB >> 28548119

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

Daniel J Farrugia1, Alessandra Landmann1, Li Zhu2, Emilia J Diego1, Ronald R Johnson1, Marguerite Bonaventura1, Atilla Soran1, David J Dabbs3, Beth Z Clark3, Shannon L Puhalla4, Rachel C Jankowitz4, Adam M Brufsky4, Barry C Lembersky4, Gretchen M Ahrendt1, Priscilla F McAuliffe1, Rohit Bhargava3.   

Abstract

Magee Equations were derived as an inexpensive, rapid alternative to Oncotype DX. The Magee Equation 3 utilizes immunohistochemical and FISH data for estrogen receptor (ER), progesterone receptor (PR), HER2 and Ki-67 for its calculation (24.30812+ERIHC × (-0.02177)+PRIHC × (-0.02884)+(0 for HER2 negative, 1.46495 for equivocal, 12.75525 for HER2 positive)+Ki-67 × 0.18649). We hypothesize that Magee Equation 3 scores from pre-therapy core biopsy can predict response to neoadjuvant systemic chemotherapy. A prospectively-maintained database of patients who received neoadjuvant systemic therapy from 2010 to 2014 at a single institution was retrospectively reviewed. Pathologic complete response was defined as absence of invasive tumor in the breast and regional lymph nodes. Of the 614 cases, tumors with missing immunohistochemical results and those that were ER negative or HER2 positive were excluded. This resulted in 237 ER positive, HER2 negative/equivocal tumors that formed the basis of this study. Magee Equation 3 scores were divided into 3 categories similar to Oncotype DX, ie, 0 to <18 (low), 18 to <31 (intermediate), and 31 or higher (high) scores. The pathologic complete response rate for low, intermediate and high Magee Equation 3 scores was 0%, 4%, and 36%, respectively. Patients with high Magee Equation 3 scores were 13 times more likely to achieve pathologic complete response compared to those with Magee Equation 3 scores less than 31 (95% CI 5.09-32.87, P<0.0001). For patients that did not achieve pathologic complete response, high Magee Equation 3 correlated with higher recurrence rate, with the majority occurring in patients with positive lymph nodes in the resection specimen. Magee Equation 3 score ≥31 predicts pathologic complete response in the neoadjuvant setting and for tumor recurrence, when pathologic complete response is not achieved. These results show the utility of Magee Equation 3 in predicting patients who will benefit from chemotherapy but warrant prospective multi-institutional validation.

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Year:  2017        PMID: 28548119     DOI: 10.1038/modpathol.2017.41

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


  34 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.  All nodes lead to chemo...

Authors:  Lidia Schapira; Michaela J Higgins
Journal:  Oncologist       Date:  2011

3.  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

4.  Long-Term Prognostic Risk After Neoadjuvant Chemotherapy Associated With Residual Cancer Burden and Breast Cancer Subtype.

Authors:  W Fraser Symmans; Caimiao Wei; Rebekah Gould; Xian Yu; Ya Zhang; Mei Liu; Andrew Walls; Alex Bousamra; Maheshwari Ramineni; Bruno Sinn; Kelly Hunt; Thomas A Buchholz; Vicente Valero; Aman U Buzdar; Wei Yang; Abenaa M Brewster; Stacy Moulder; Lajos Pusztai; Christos Hatzis; Gabriel N Hortobagyi
Journal:  J Clin Oncol       Date:  2017-01-30       Impact factor: 44.544

5.  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

6.  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

7.  The impact of Oncotype DX® recurrence score of paraffin-embedded core biopsy tissues in predicting response to neoadjuvant chemotherapy in women with breast cancer.

Authors:  Atilla Soran; Rohit Bhargava; Ronald Johnson; Gretchen Ahrendt; Marguerite Bonaventura; Emilia Diego; Priscilla F McAuliffe; Merida Serrano; Ebru Menekse; Efe Sezgin; Kandace P McGuire
Journal:  Breast Dis       Date:  2016-07-28

8.  Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy.

Authors:  W Fraser Symmans; Florentia Peintinger; Christos Hatzis; Radhika Rajan; Henry Kuerer; Vicente Valero; Lina Assad; Anna Poniecka; Bryan Hennessy; Marjorie Green; Aman U Buzdar; S Eva Singletary; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2007-09-04       Impact factor: 44.544

9.  A phase II trial of ixabepilone and cyclophosphamide as neoadjuvant therapy for patients with HER2-negative breast cancer: correlation of pathologic complete response with the 21-gene recurrence score.

Authors:  Denise A Yardley; Nancy W Peacock; Mythili Shastry; Howard A Burris; Rebecca G Bechhold; Carolyn B Hendricks; Carl N Yoshizawa; Amy P Sing; John D Hainsworth
Journal:  Breast Cancer Res Treat       Date:  2015-10-27       Impact factor: 4.872

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

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  9 in total

1.  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

2.  Evaluating biomarkers for treatment selection from reproducibility studies.

Authors:  Xiao Song; Kevin K Dobbin
Journal:  Biostatistics       Date:  2022-01-13       Impact factor: 5.899

3.  Practical Consequences Resulting from the Analysis of a 21-Multigene Array in the Interdisciplinary Conference of a Breast Cancer Center.

Authors:  Hans-Ullrich Voelker; Lea Frey; Annette Strehl; Michael Weigel
Journal:  Int J Breast Cancer       Date:  2018-07-10

4.  Breast Cancers With Magee Equation Score of Less Than 18, or 18-25 and Mitosis Score of 1, Do Not Require Oncotype DX Testing: A Value Study.

Authors:  Rohit Bhargava; Beth Z Clark; David J Dabbs
Journal:  Am J Clin Pathol       Date:  2019-02-04       Impact factor: 2.493

5.  Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer.

Authors:  Mustapha Abubakar; Jonine Figueroa; H Raza Ali; Fiona Blows; Jolanta Lissowska; Carlos Caldas; Douglas F Easton; Mark E Sherman; Montserrat Garcia-Closas; Mitch Dowsett; Paul D Pharoah
Journal:  Mod Pathol       Date:  2019-04-11       Impact factor: 7.842

6.  The Evaluation of Magee Equation 2 in Predicting Response and Outcome in Hormone Receptor-Positive and HER2-Negative Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.

Authors:  Napat Saigosoom; Doonyapat Sa-Nguanraksa; Eng O-Charoenrat; Thanawat Thumrongtaradol; Pornchai O-Charoenrat
Journal:  Cancer Manag Res       Date:  2020-04-08       Impact factor: 3.989

7.  The Correlation of Magee EquationsTM and Oncotype DX® Recurrence Score From Core Needle Biopsy Tissues in Predicting Response to Neoadjuvant Chemotherapy in ER+ and HER2- Breast Cancer.

Authors:  Atilla Soran; Kaori Tane; Efe Sezgin; Rohit Bhargava
Journal:  Eur J Breast Health       Date:  2020-04-01

8.  The healthcare value of the Magee Decision Algorithm™: use of Magee Equations™ and mitosis score to safely forgo molecular testing in breast cancer.

Authors:  Rohit Bhargava; Beth Z Clark; Gloria J Carter; Adam M Brufsky; David J Dabbs
Journal:  Mod Pathol       Date:  2020-03-17       Impact factor: 7.842

Review 9.  Personalising therapy for early-stage oestrogen receptor-positive breast cancer in older women.

Authors:  Neil Carleton; Azadeh Nasrazadani; Kristine Gade; Sushil Beriwal; Parul N Barry; Adam M Brufsky; Rohit Bhargava; Wendie A Berg; Margarita L Zuley; G J van Londen; Oscar C Marroquin; Darcy L Thull; Phuong L Mai; Emilia J Diego; Michael T Lotze; Steffi Oesterreich; Priscilla F McAuliffe; Adrian V Lee
Journal:  Lancet Healthy Longev       Date:  2022-01-05
  9 in total

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