Developing a clinical-pathologic model to predict genomic risk of recurrence in patients with hormone receptor positive, human epidermal growth factor receptor-2 negative, node negative breast cancer

Autor: Atul Batra, Nancy A. Nixon, Gloria Roldan-Urgoiti, Malek B Hannouf, Tasnima Abedin, Judith Hugh, Karen King, Gilbert Bigras, Tanner Steed, Sasha Lupichuk
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Cancer Treatment and Research Communications, Vol 28, Iss , Pp 100401- (2021)
Druh dokumentu: article
ISSN: 2468-2942
DOI: 10.1016/j.ctarc.2021.100401
Popis: Introduction: Patients with hormone receptor (HR)-positive, human epidermal growth factor receptor-2 (HER2)-negative, node negative (NN) breast cancer may be offered a gene expression profiling (GEP) test to determine recurrence risk and benefit of adjuvant chemotherapy. We developed a clinical-pathologic (CP) model to predict genomic recurrence risk and examined its performance characteristics. Methods: Patients diagnosed with HR-positive, HER2-negative, NN breast cancer with a tumour size < 30 mm and who underwent a GEP test [OncotypeDX or Prosigna] in Alberta from October 2017 through March 2019 were identified. Patients were classified as low or high genomic risk. Multivariable logistic regression analysis was performed to examine the associations of CP factors with genomic risk. A CP model was developed using coefficients of regression and sensitivity analyses were performed. Results: A total of 366 patients were eligible (135 were tested using OncotypeDX and 231 with Prosigna). Of these, 64 (17.5%) patients were classified as high genomic risk. On multivariable logistic regression, tumour size > 20 mm (odds ratio [OR], 3.58; 95% confidence interval [CI], 1.84–6.98; P
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