E. Shachar (Tel Aviv, Israel)

Tel Aviv Sourasky Medical Center-(Ichilov)

Author Of 2 Presentations

52P - Adjuvant endocrine therapy in HER2-positive breast cancer patients: systematic review and meta-analysis

Abstract

Background

Approximately 50% of HER2-positive breast cancer lesions express hormone receptors. These tumors present a unique therapeutic challenge, and the optimal endocrine therapeutic approach remains controversial. We aimed to study the optimal adjuvant endocrine therapy in this setting in order to better establish the bases for clinical recommendations in HER2-positive disease.

Methods

We conducted a literature search up to May 2020 in which we identified randomized controlled trials (RCTs) that investigated the efficacy of various adjuvant hormonal therapies among premenopausal and postmenopausal patients with hormone receptor (HR)-positive HER2-positive early breast cancer. Disease-free survival (DFS) was calculated with the random effect model and hazard ratios (HRs) with 95% confidence intervals (CI).

Results

Six RCTs (n=5,390 patients) were included in the final analysis. There was no significant difference in DFS between adjuvant treatment with aromatase inhibitors and tamoxifen (HR 0.99, 95% CI 0.68-1.44, P=0.96). After omitting the ALTTO trial because it did not randomize patients to hormonal therapy, no significant difference was observed between the two protocols (HR 1.06, 95% CI 0.65-1.73, P=0.81).

Conclusions

Our study demonstrates similar DFS with tamoxifen and aromatase inhibitors as adjuvant endocrine treatment in HER2-positive HR-positive early breast cancer patients. Future larger prospective studies focusing on the various contemporary endocrine regimens are warranted to validate our findings.

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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56P - The impact of tumor detection method on genomic and clinical risk and chemotherapy recommendation in early hormone receptor positive breast cancer

Abstract

Background

Symptomatic breast cancers share aggressive clinico-pathological characteristics compared to screen-detected breast cancers. The decision to administer adjuvant chemotherapy for early hormone receptor positive (HR+) HER-2 negative (HER2-) breast cancer patients, is guided by both the genomic and the clinical risk of disease recurrence. We assessed the association between the method of cancer detection and genomic and clinical risk, and its effect on adjuvant chemotherapy recommendation.

Methods

Patients with early HR+ HER2- breast cancer, and known OncotypeDX Breast Recurrence Score (RS) test were included. A natural language processing (NLP) algorithm was used to identify the method of cancer detection. The clinical and genomic risks of symptomatic and screen-detected tumors were compared.

Results

The NLP algorithm identified the method of detection of 401 patients, with 216 (54%) diagnosed by routine screening, and the remainder secondary to symptoms. The distribution of OncotypeDX RS varied between the groups. In the symptomatic group there were lower proportions of low RS (13 vs 23%) and higher proportions of high RS (24 vs. 13%) compared to the screen-detected group (p=.03). Symptomatic tumors were significantly more likely to have a high clinical risk (59 vs 40%; p<.0001). Based on genomic and clinical risk and current guidelines, we found that women aged 50 and under, with symptomatic cancer, had an increased probability of receiving adjuvant chemotherapy recommendation compared to women with screen-detected cancers (57 vs. 35%; p=.03).

Conclusions

We demonstrated an association between the method of cancer detection and both genomic and clinical risk. Symptomatic breast cancer, especially in young women, remains a poor prognostic factor that should be taken into account when evaluating patient prognosis and determining adjuvant treatment plans.

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

I. Wolf: Speaker Bureau/Expert testimony, Research grant/Funding (self): BMS; Speaker Bureau/Expert testimony, Research grant/Funding (self): MSD; Speaker Bureau/Expert testimony, Research grant/Funding (self): Roche; Speaker Bureau/Expert testimony, Research grant/Funding (self): Novartis. A. Sonnenblick: Advisory/Consultancy: Eli lilly; Speaker Bureau/Expert testimony: Pfizer; Speaker Bureau/Expert testimony: Teva; Speaker Bureau/Expert testimony: Novartis; Speaker Bureau/Expert testimony: Medison; Speaker Bureau/Expert testimony: Roche; Research grant/Funding (self): Novartis; Research grant/Funding (self): Roche. All other authors have declared no conflicts of interest.

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