Literature DB >> 31197914

Impact of biomarkers and genetic profiling on breast cancer prognostication: A comparative analysis of the 8th edition of breast cancer staging system.

Esther C Yoon1, Christopher Schwartz1, Edi Brogi2, Katia Ventura2, Hannah Wen2, Farbod Darvishian1.   

Abstract

The 8th edition of the American Joint Committee on Cancer (AJCC) staging guidelines combine traditional TNM system with biomarkers to reflect our current understanding of tumor biology and targeted therapy. In this study, we investigated the impact of the TNM + Biomarkers staging system and the additive value of Oncotype Dx™ genomic profile recurrence score (RS) (TNM + Biomarkers+RS <11) for the staging of breast cancer (BC) using data from two tertiary referral cancer centers. Compared to TNM alone, the TNM + Biomarkers system changed the stage group in 32.7% of BCs (27% downstage, 5.7% upstage). Most (98.3%) of the downstaged BCs were estrogen receptor (ER)+/progesterone receptor (PR)+, whereas 78% of the upstaged BCs were ER-/PR-/human epidermal growth factor receptor 2 (HER2)-. Compared to TNM + Biomarkers staging, the addition of genetic profile data (TNM + Biomarker+RS <11) downstaged only <1% BCs. Our analysis suggests that for T1-T2N0 ER+/HER2- BCs, Oncotype Dx™ RS <11 provides added value as a staging parameter only in a very small group of cases compared to TNM + Biomarkers alone.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  21-gene recurrence score assay; American Joint Committee on Cancer; OncotypeDx™; biomarkers; breast cancer; estrogen receptor; human epidermal growth factor receptor 2; progesterone receptor; prognosis; staging

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Year:  2019        PMID: 31197914      PMCID: PMC6754291          DOI: 10.1111/tbj.13352

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  42 in total

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Authors:  Harold J Burstein
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Review 3.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version).

Authors:  M Elizabeth H Hammond; Daniel F Hayes; Mitch Dowsett; D Craig Allred; Karen L Hagerty; Sunil Badve; Patrick L Fitzgibbons; Glenn Francis; Neil S Goldstein; Malcolm Hayes; David G Hicks; Susan Lester; Richard Love; Pamela B Mangu; Lisa McShane; Keith Miller; C Kent Osborne; Soonmyung Paik; Jane Perlmutter; Anthony Rhodes; Hironobu Sasano; Jared N Schwartz; Fred C G Sweep; Sheila Taube; Emina Emilia Torlakovic; Paul Valenstein; Giuseppe Viale; Daniel Visscher; Thomas Wheeler; R Bruce Williams; James L Wittliff; Antonio C Wolff
Journal:  Arch Pathol Lab Med       Date:  2010-07       Impact factor: 5.534

4.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

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5.  Prospective Validation of a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Edith A Perez; John A Olson; JoAnne Zujewski; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; James N Atkins; Jeffrey L Berenberg; George W Sledge
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

Review 6.  Breast cancer prognostic classification in the molecular era: the role of histological grade.

Authors:  Emad A Rakha; Jorge S Reis-Filho; Frederick Baehner; David J Dabbs; Thomas Decker; Vincenzo Eusebi; Stephen B Fox; Shu Ichihara; Jocelyne Jacquemier; Sunil R Lakhani; José Palacios; Andrea L Richardson; Stuart J Schnitt; Fernando C Schmitt; Puay-Hoon Tan; Gary M Tse; Sunil Badve; Ian O Ellis
Journal:  Breast Cancer Res       Date:  2010-07-30       Impact factor: 6.466

7.  A Retrospective Analysis of Clinical Utility of AJCC 8th Edition Cancer Staging System for Breast Cancer.

Authors:  Hui Hu; Wei Wei; Xin Yi; Ling Xin; Yinhua Liu
Journal:  World J Oncol       Date:  2017-06-09

8.  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

9.  Bioscore: A Staging System for Breast Cancer Patients that Reflects the Prognostic Significance of Underlying Tumor Biology.

Authors:  Elizabeth A Mittendorf; Mariana Chavez-MacGregor; Jose Vila; Min Yi; Daphne Y Lichtensztajn; Christina A Clarke; Sharon H Giordano; Kelly K Hunt
Journal:  Ann Surg Oncol       Date:  2017-07-19       Impact factor: 4.339

10.  A retrospective prognostic evaluation analysis using the 8th edition of the American Joint Committee on Cancer staging system for breast cancer.

Authors:  Sae Byul Lee; Guiyun Sohn; Jisun Kim; Il Yong Chung; Jong Won Lee; Hee Jeong Kim; Beom Seok Ko; Byung Ho Son; Sei-Hyun Ahn
Journal:  Breast Cancer Res Treat       Date:  2018-01-31       Impact factor: 4.872

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Journal:  Health Expect       Date:  2022-04-26       Impact factor: 3.318

Review 3.  Global Consultation on Cancer Staging: promoting consistent understanding and use.

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