Literature DB >> 32661297

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

Rohit Bhargava1, Nicole N Esposito2, Siobhan M OʹConnor3, Zaibo Li4, Bradley M Turner5, Ioana Moisini5, Aditi Ranade6, Ronald P Harris6, Dylan V Miller7, Xiaoxian Li8, Harrison Moosavi8, Beth Z Clark9, Adam M Brufsky9, David J Dabbs10.   

Abstract

Magee Equations™ (ME) are multivariable models that can estimate oncotype DX® recurrence score. One of the equations, Magee Equation 3 (ME3) which utilizes only semi-quantitative receptor results has been shown to provide chemopredictive value in the neoadjuvant setting in a single institutional study. This multi-institutional study (seven institutions contributed cases) was undertaken to examine the validity of ME3 in predicting response to neoadjuvant chemotherapy in estrogen receptor positive, HER2-negative breast cancers. Stage IV cases were excluded. The primary endpoint was the pathologic complete response (pCR) rate in different categories of ME3 scores calculated based on receptor results in the pre-therapy core biopsy. A total of 166 cases met the inclusion criteria. The patient age ranged from 24 to 83 years (median 53 years). The average pre-therapy tumor size was 3.9 cm, and axillary lymph nodes were confirmed positive by pre-therapy core biopsy in 85 of 166 cases (51%). The pCR rate according to ME3 scores was 0% (0 of 64) in ME3 < 18, 0% (0 of 46) in ME3 18-25, 14% (3 of 21) in ME3 > 25 to <31, and 40% (14 of 35) in ME3 score 31 or higher (p value: <0.0001). There were no distant recurrences and no deaths in the 17 patients with pCR. In the remaining 149 cases with residual disease, ME3 score of >25 was significantly associated with shorter distant recurrence-free survival and showed a trend for shorter breast cancer-specific survival. The results of this multi-institutional study are similar to previously published data from a single institution (PMID: 28548119) and confirm the chemo-predictive value of ME3 in the neoadjuvant setting. In addition, ME3 may provide prognostic information in patients with residual disease which should be further evaluated.

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Year:  2020        PMID: 32661297     DOI: 10.1038/s41379-020-0620-2

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


  42 in total

1.  Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis.

Authors:  Davide Mauri; Nicholas Pavlidis; John P A Ioannidis
Journal:  J Natl Cancer Inst       Date:  2005-02-02       Impact factor: 13.506

2.  A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer.

Authors:  Xiao-Jun Ma; Ranelle Salunga; Sonika Dahiya; Wilson Wang; Erin Carney; Virginie Durbecq; Adrian Harris; Paul Goss; Christos Sotiriou; Mark Erlander; Dennis Sgroi
Journal:  Clin Cancer Res       Date:  2008-05-01       Impact factor: 12.531

3.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

4.  A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors.

Authors:  Martin Filipits; Margaretha Rudas; Raimund Jakesz; Peter Dubsky; Florian Fitzal; Christian F Singer; Otto Dietze; Richard Greil; Andrea Jelen; Paul Sevelda; Christa Freibauer; Volkmar Müller; Fritz Jänicke; Marcus Schmidt; Heinz Kölbl; Achim Rody; Manfred Kaufmann; Werner Schroth; Hiltrud Brauch; Matthias Schwab; Peter Fritz; Karsten E Weber; Inke S Feder; Guido Hennig; Ralf Kronenwett; Mathias Gehrmann; Michael Gnant
Journal:  Clin Cancer Res       Date:  2011-08-01       Impact factor: 12.531

5.  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

6.  The HOXB13:IL17BR expression index is a prognostic factor in early-stage breast cancer.

Authors:  Xiao-Jun Ma; Susan G Hilsenbeck; Wilson Wang; Li Ding; Dennis C Sgroi; Richard A Bender; C Kent Osborne; D Craig Allred; Mark G Erlander
Journal:  J Clin Oncol       Date:  2006-10-01       Impact factor: 44.544

7.  A gene-expression signature as a predictor of survival in breast cancer.

Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

8.  Histopathologic variables predict Oncotype DX recurrence score.

Authors:  Melina B Flanagan; David J Dabbs; Adam M Brufsky; Sushil Beriwal; Rohit Bhargava
Journal:  Mod Pathol       Date:  2008-10       Impact factor: 7.842

9.  Prognostic utility of HOXB13:IL17BR and molecular grade index in early-stage breast cancer patients from the Stockholm trial.

Authors:  P-L Jerevall; X-J Ma; H Li; R Salunga; N C Kesty; M G Erlander; D C Sgroi; B Holmlund; L Skoog; T Fornander; B Nordenskjöld; O Stål
Journal:  Br J Cancer       Date:  2011-05-10       Impact factor: 7.640

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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  3 in total

1.  Utility of Oncotype DX score in clinical management for T1 estrogen receptor positive, HER2 negative, and lymph node negative breast cancer.

Authors:  Thi Truc Anh Nguyen; Lauren M Postlewait; Chao Zhang; Jane L Meisel; Ruth O'Regan; Sunil Badve; Kevin Kalinsky; Xiaoxian Li
Journal:  Breast Cancer Res Treat       Date:  2022-01-27       Impact factor: 4.872

2.  Deep Learning-Based Pathology Image Analysis Enhances Magee Feature Correlation With Oncotype DX Breast Recurrence Score.

Authors:  Hongxiao Li; Jigang Wang; Zaibo Li; Melad Dababneh; Fusheng Wang; Peng Zhao; Geoffrey H Smith; George Teodoro; Meijie Li; Jun Kong; Xiaoxian Li
Journal:  Front Med (Lausanne)       Date:  2022-06-14

Review 3.  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
  3 in total

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