AUTHOR=Deme Dániel , Tamaskovics Bálint Ferenc , Jammoul Nizar , Kovács Sándor , Kayode Emmanuel Oladunjoye , Grice James W. , Telekes András 

TITLE=Association between pathological characteristics and recurrence score by OncotypeDX in resected T1-3 and N0-1 breast cancer: a real-life experience of a North Hungarian regional center

JOURNAL=Pathology and Oncology Research

VOLUME=30

YEAR=2024

URL=https://www.por-journal.com/journals/pathology-and-oncology-research/articles/10.3389/pore.2024.1611735

DOI=10.3389/pore.2024.1611735

ISSN=1532-2807

ABSTRACT=<p><bold>Introduction:</bold> The 21-gene analysis (OncotypeDX) is validated test for pT1-3, pN0-1 with hormone receptor (HR) positive and normal expression of human epidermal growth factor receptor-2 (HER2) breast cancer (BC) to determine the aggressiveness of the disease based on the calculation of Recurrence Score (RS).</p><p><bold>Methods:</bold> In this retrospective study the authors correlated pathological characteristics and Recurrence Score (RS) by traditional statistical methods and Observed Oriented Modeling (OOM) in a realistic cohort of BC patients.</p><p><bold>Results:</bold> OncotypeDX tests were performed in 94 tumour specimens of 90 BC patients. &gt;83% of node-negative (pN0) and &gt;72% of node-positive (pN1) cases could avoid chemotherapy. For pN0 cases, non-parametric correlation and tests demonstrated significant association in eight types of characteristics [progesterone receptor (PR) expression, Ki-67 value, Ki-67 group, PR group, grade, estrogen receptor (ER) expression, Nottingham Prognostic Index (NPI) and Clinical Risk]. For pN1 cases, parametric correlation and tests showed significant association in six characteristic types (number of positive nodes, ER and PR expression, PR group, Ki-67 group and NPI). Based on OOM for pN0 cases, significant associations were established in three characteristics (Ki-67 group, grade and NPI group). For pN1 cases OOM found significant associations in seven characteristics (PR group, PNI, LVI, Ki-67 group, grade, NPI group and number of positive nodes).</p><p><bold>Conclusion:</bold> First in oncology, OOM was applied, which found some other significant characteristics associated with RS than traditional statistical methods. There were few patients, where no clinical associations were found between characteristics and RS contrary to statistically significant differences. Therefore, the results of these statistical analyses can be neither applied for individual cases nor able to provide the bases for screening patients, i.e., whether they need for OncotypeDX testing or not. OncotypeDX still provides a personalised approach in BC.</p>