Integration of the stem cell biology-based genomic tool, StemPrintER, with clinicopathological parameters for the prediction of distant recurrence in ER+/HER2- breast cancer (BC) patients.

Authors

null

Salvatore Pece

European Institute of Oncology, Milan, Italy

Salvatore Pece , Patrick Maisonneuve , Davide Disalvatore , Stefano Freddi , Paolo Veronesi , Marco Colleoni , Giuseppe Viale , Pier Paolo Di Fiore

Organizations

European Institute of Oncology, Milan, Italy, European Institute of Oncology, IRCCS, Milan, Italy, Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy, Division of Medical Senology, IEO, European Institute of Oncology IRCCS, Milan, Italy, Division of Pathology, European Institute of Oncology, IRCCS, Milan, Italy

Research Funding

Other
Italian Association for Cancer Research (AIRC)

Background: The StemPrintER risk score (SPRS) is a 20 gene-based predictor that estimates the “degree of stemness” of the primary tumor and provides additional prognostic information regarding distant metastasis (DM) risk in early stage ER+/HER2- breast cancer (BC) patients beyond that obtained from standard clinicopathological parameters. Here we describe a further refined model, that combines prognostic information from SPRS with tumor size (pT) and nodal status (pN), termed SPARE (SPRS for Personalized Adjuvant therapy in Receptor-Expressing patients). SPARE was compared to the clinical treatment score (CTS) for 10-year risk of DM in a consecutive-retrospective ER+/HER2- BC patient cohort (n=1,827) with 15-year complete follow-up from the European Institute of Oncology (IEO) in Milan. Methods: The SPARE model was developed in patients randomly assigned to a training set (n=609), using the ridge-penalized Cox regression, and tested in an independent validation set (n=1,218). Likelihood χ2 (LRχ2) and Kaplan-Meier survival analysis were used to compare the prognostic information from SPARE and CTS (based on age, pN, pT, endocrine treatment). Comparative analyses were made for the DM risk over the 10-year follow-up, as well as in the early (0-5 years) or late (5-10 years) interval, according to nodal status. Results: SPARE outperformed CTS in providing prognostic information for 10-year DM risk (LRχ2: SPARE = 141.2, P<0.0001; CTS=118.1, P<0.0001), with even greater differences in node-negative patients (LRχ2: SPARE=47.6, P<0.0001; CTS=27.5, P<0.0001) and in 1-3 node-positive patients (LRχ2: SPARE=30.6, P<0.0001; CTS=15.1, P<0.0001). When reciprocally adjusted for each other, SPARE added prognostic information to CTS (ΔLRχ2: CTS+SPARE vs. CTS = 25.2; P<0.0001), while CTS did not provide any statistically significant information to SPARE (SPARE+CTS vs. SPARE = 2.1, P=0.14). Using predefined cut-offs to stratify chemo-naïve patients clinically estimated at low recurrence risk, SPARE identified low, intermediate and high risk patients based on their annual rate of DM in the early (low, 0.2%, intermediate, 0.8%, high, 3.3%) and late (low, 0.3%, intermediate, 0.9%, high, 1.6%) interval. Conclusions: SPARE represents a more refined clinical tool, compared to standard clinicopathological parameters, that could be used for personalized therapeutic decision making in ER+/HER2- BC patients.

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Abstract Details

Meeting

2020 ASCO Virtual Scientific Program

Session Type

Poster Session

Session Title

Breast Cancer—Metastatic

Track

Breast Cancer

Sub Track

Hormone Receptor-Positive

Citation

J Clin Oncol 38: 2020 (suppl; abstr 1057)

DOI

10.1200/JCO.2020.38.15_suppl.1057

Abstract #

1057

Poster Bd #

142

Abstract Disclosures

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