Publications by authors named "P Beitsch"

Clinical T3 (cT3) breast cancer (BC) presents a challenge for achieving cosmetically acceptable breast conservation, and neoadjuvant chemotherapy (NAC) is commonly used for cytoreduction in these high-risk cancers. MammaPrint risk-of-recurrence and BluePrint molecular subtyping genomic signatures have demonstrated high accuracy in predicting chemotherapy benefits. Here, we examined the utility of MammaPrint/BluePrint for predicting pathological Complete Response (pCR) rates to NAC among 404 patients diagnosed with cT3 early-stage BC.

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Current guidelines recommend single variant testing in relatives of patients with known pathogenic or likely pathogenic germline variants in cancer predisposition genes. This approach may preclude the use of risk-reducing strategies in family members who have pathogenic or likely pathogenic germline variants in other cancer predisposition genes. Cascade testing using multigene panels was performed in 3696 relatives of 7433 probands.

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Background: As more patients with early-stage breast cancer receive neoadjuvant endocrine therapy (NET), there is a need for reliable biomarkers that can identify patients with HR+ HER2- tumors who are likely to benefit from NET. NBRST (NCT01479101) compared the prognostic value of the 70-gene risk classification and 80-gene molecular subtyping signatures with conventional pathological classification methods in response to neoadjuvant therapy. We evaluated the association of these signatures with clinical response and 5-year outcome of patients treated with NET.

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Article Synopsis
  • The study examines the potential benefits of universal germline testing for all breast cancer patients, particularly focusing on how it may influence clinical decision-making.
  • Researchers assessed data from a cohort of men and women aged 18 to 90 who had not been previously tested for genetic variants, documenting changes to treatment recommendations based on the testing results.
  • Results showed that a significant majority of patients (83.8% in-criteria and 67.6% out-of-criteria) had at least one change in their clinical management following genetic testing, highlighting the practical implications of testing guidelines.
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