Literature DB >> 29907942

Distribution of 21-Gene Recurrence Scores in Male Breast Cancer in the United States.

Ariella M Altman1, Scott Kizy1, Jianling Yuan2, Jason W Denbo1, Eric H Jensen1, Jane Y C Hui1, Todd M Tuttle1, Schelomo Marmor3.   

Abstract

BACKGROUND: The 21-gene recurrence score (RS) is a RT-PCR assay estimating risk of distant recurrence in estrogen receptor positive (ER+), human epidermal growth factor receptor 2 negative (HER2) breast cancer (BC). Studies validating RS are limited to women. Our objective was to assess RS distribution and factors associated with high-risk RS in male BC.
METHODS: Using the Surveillance, Epidemiology, and End Results database, we identified men and women with ER+/HER2- BC from 2010 to 2013. Patients were categorized into risk groups using the traditional and the Trial Assigning Individualized Options for Treatment (TAILORx) cutoffs. Multivariable logistic regression determined factors associated with testing and high-risk TAILORx RS.
RESULTS: We identified 1388 men and 154,196 women with ER+/HER2- BC. Twenty-five percent of men and 30% of women had RS testing. Mean age of tested men was 63; most were white (81%), had grade I or II tumors (67%), and had stage I or II (95%) BC. Factors associated with increased RS testing were younger age, recent year of diagnosis, lymph node negativity, and lower-stage tumors (p ≤ 0.05). By TAILORx, 21% of men had high-risk RS compared with 14% of tested women. Men with grade III and PR negative tumors were more likely to have a high-risk RS (p ≤ 0.05). Chemotherapy utilization was correlated with RS.
CONCLUSIONS: Using a large population-based dataset, we found that compared with women, men were significantly more likely to have high-risk RS. Grade III and PR-negative BC were significantly associated with high-risk RS. Higher RS in men correlated with increased chemotherapy utilization.

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Year:  2018        PMID: 29907942     DOI: 10.1245/s10434-018-6566-7

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  2 in total

1.  Bayesian Spatial Joint Model for Disease Mapping of Zero-Inflated Data with R-INLA: A Simulation Study and an Application to Male Breast Cancer in Iran.

Authors:  Naeimehossadat Asmarian; Seyyed Mohammad Taghi Ayatollahi; Zahra Sharafi; Najaf Zare
Journal:  Int J Environ Res Public Health       Date:  2019-11-13       Impact factor: 3.390

2.  Relevance of the 21-gene expression assay in male breast cancer: A systematic review and meta-analysis.

Authors:  Matthew G Davey; Ciara M Davey; Luis Bouz; Eoin Kerin; Carson McFeetors; Aoife J Lowery; Michael J Kerin
Journal:  Breast       Date:  2022-04-28       Impact factor: 4.254

  2 in total

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