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


Authors: Yoon, E. C.; Schwartz, C.; Brogi, E.; Ventura, K.; Wen, H.; Darvishian, F.
Article Title: Impact of biomarkers and genetic profiling on breast cancer prognostication: A comparative analysis of the 8th edition of breast cancer staging system
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 DxTM 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 DxTM 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.
Keywords: staging; biomarkers; breast cancer; estrogen receptor; progesterone receptor; human epidermal growth factor receptor 2; american joint committee on cancer; prognosis; 21-gene recurrence score assay; oncotypedxtm
Journal Title: Breast Journal
Volume: 25
Issue: 5
ISSN: 1075-122X
Publisher: Wiley Blackwell  
Date Published: 2019-09-01
Start Page: 829
End Page: 837
Language: English
DOI: 10.1111/tbj.13352
PUBMED: 31197914
PROVIDER: scopus
PMCID: PMC6754291
DOI/URL:
Notes: Article -- Export Date: 1 November 2019 -- Source: Scopus
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  1. Hannah Yong Wen
    301 Wen
  2. Edi Brogi
    515 Brogi
  3. Katia Ventura
    24 Ventura