Literature DB >> 29959613

Is Age Trumping Genetic Profiling in Clinical Practice? Relationship of Chemotherapy Recommendation and Oncotype DX Recurrence Score in Patients Aged < 50 Years versus ≥ 50 Years, and Trends Over Time.

Austin D Williams1,2, Sylvia A Reyes1,2, Renee L Arlow1,2, Julia Tchou1,2, Lucy M De La Cruz3,4.   

Abstract

BACKGROUND: Oncotype DX (oDX) is used to predict recurrence and indicate response to chemotherapy in patients with early-stage breast cancer (BC). We evaluated the relationship between age (< 50 vs. ≥ 50 years), recurrence score (RS), chemotherapy use, and trends of oDX testing over time.
METHODS: Using the National Cancer Database, we identified women with T1/T2, N0, estrogen receptor-positive BC from 2009 to 2014. We stratified patients by age (< 50 and ≥ 50 years) and RS (low: < 18; intermediate: 18-30; and high: > 30), and compared demographics, tumor characteristics, and chemotherapy recommendations. Management trends were also assessed.
RESULTS: From 2009 to 2014, a total of 377,725 cases met the eligibility criteria for oDX testing; 115,052 (30.5%) patients had oDX, and 60,804 (16.1%) were < 50 years of age. The majority had low RS and T1N0 disease. Patients < 50 years of age were more likely to be recommended chemotherapy than those ≥ 50 years of age, regardless of RS (p ≤ 0.001), and were more likely to ultimately undergo chemotherapy (p < 0.001). When stratified by year, oDX utilization increased. There was a decreasing trend in chemotherapy recommendations in both the low- and intermediate-RS groups for both age groups (all p = 0.001), with no change in the high-RS group (< 50 years: p = 0.52; ≥ 50 years: p = 0.67). Univariate and multivariate analyses demonstrated that patients < 50 years of age and those with a higher RS were more likely to be recommended chemotherapy (p < 0.001).
CONCLUSIONS: The testing of oDX in BC has significantly increased since first implemented. Results from additional studies such as TAILORx will clarify the current discordant practice patterns between low oDX RSs and adjuvant chemotherapy recommendations.

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Year:  2018        PMID: 29959613     DOI: 10.1245/s10434-018-6600-9

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


  4 in total

1.  Supervised machine learning model to predict oncotype DX risk category in patients over age 50.

Authors:  Kate R Pawloski; Mithat Gonen; Hannah Y Wen; Audree B Tadros; Donna Thompson; Kelly Abbate; Monica Morrow; Mahmoud El-Tamer
Journal:  Breast Cancer Res Treat       Date:  2021-11-09       Impact factor: 4.624

2.  Clinicopathological characteristics, adjuvant chemotherapy decision and disease outcome in patients with breast cancer with a 21-gene recurrence score of 26-30.

Authors:  Jing Yu; Jiayi Wu; Ou Huang; Jianrong He; Li Zhu; Weiguo Chen; Yafen Li; Xiaosong Chen; Kunwei Shen
Journal:  Oncol Lett       Date:  2020-06-16       Impact factor: 2.967

3.  Adjuvant chemotherapy and survival among patients 70 years of age and younger with node-negative breast cancer and the 21-gene recurrence score of 26-30.

Authors:  Seho Park; Yunan Han; Ying Liu; Adetunji T Toriola; Lindsay L Peterson; Graham A Colditz; Seung Il Kim; Young Up Cho; Byeong-Woo Park; Yikyung Park
Journal:  Breast Cancer Res       Date:  2019-10-16       Impact factor: 6.466

4.  The impact of age and nodal status on variations in oncotype DX testing and adjuvant treatment.

Authors:  Kathleen Iles; Mya L Roberson; Philip Spanheimer; Kristalyn Gallagher; David W Ollila; Paula D Strassle; Stephanie Downs-Canner
Journal:  NPJ Breast Cancer       Date:  2022-03-01
  4 in total

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