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Timothy R Rebbeck

Publications and source records attributed to Timothy R Rebbeck.

2 recordsLinked to original sources

The African Cancer Leaders Institute: a decade of strategic development of the African next generation leaders in cancer care, research, education and advocacy.

Leadership and mentorship play an important role in supporting the career development of health professionals. In many African countries, supervision activities focus on technical and operational aspects rather than catalysing career and leadership development. Thus, mentorship and coaching interventions need to be implemented in African healthcare institutions as components of health systems strengthening strategies. Due to its holistic nature, cancer care involves interprofessional collaborations to develop and provide a problem-solving mindset. It is therefore an area that would benefit from leadership and mentorship, mainly in a limited-resources context. The identified benefits from leadership development in cancer care in Africa led to the creation of the African Cancer Leaders Institute (ACLI) of the African Organization for Research and Training in Cancer (AORTIC), consisting of mentors and trainees from Africa and the USA. ACLI trainees are selected through a competitive application process. During the ACLI biennial meetings, coinciding with the AORTIC conference, trainees, including early-stage/mid-career investigators, oncologists, nurses, advocates and other health professionals, meet to learn about best practices in cancer research, grant writing, scientific reporting, mentor relationships, academic pressures and professional-personal life balance. This paper describes the goals of the ACLI, its mission and achievements, the vision behind creating such important programmes and the benefits of its participants in leadership, coaching and mentorship in improving cancer care in Africa.

Humans

A Prospective Validation of the Decipher Genomic Classifier in Men With Early Localized Prostate Cancer: The VANDAAM Study.

BACKGROUND: The emergence of genomic precision oncology has advanced personalized care for some patients with prostate cancer (PCa), while threatening to widen existing disparities due to the historically low recruitment of African American men (AAM), who have the highest disease burden. Here, we report the first prospective validation of a genomic classifier (GC) to predict rapid-onset biochemical recurrence (BCR) in AAM. METHODS: Between 2016 and 2021, this multicenter prospective validation study recruited 243 patients with low- or intermediate-risk PCa who received treatment for their disease. Patients were recruited on a 1:1 basis (AAM:White) and matched by CAPRA score. Patients who elected active surveillance were ineligible for participation. Decipher GC testing was ordered for all patients using their biopsy and/or radical prostatectomy (RP) tumor tissue. The primary outcome was to determine whether the GC could predict 2-year BCR rates-used as a surrogate for disease aggressiveness-following standard treatment. The secondary outcome evaluated the concordance between biopsy- and RP-derived GC risk scores for treatment recommendations. RESULTS: The final analytical cohort included 226 matched patients with genomic information, and 207 evaluable cases (104 AAM, 103 White) with both genomic and complete clinical outcome data. Overall, a high genomic-risk GC score was associated with a 5.25-fold increase in the odds of rapid-onset 2-year BCR compared with the low-risk group (odds ratio, 5.25 [95% CI, 1.27-21.66]; P=.021). In a subset of the surgical cohort (n=74), biopsy- and RP-derived GC scores exhibited a 77% concordance rate, defined as no reclassification in GC risk-based categories. CONCLUSIONS: This study represents the first prospective validation of GC performance in predicting early 2-year BCR in both AAM and White men. The findings provide strong evidence supporting the integration of the GC into clinical practice guidelines to improve risk stratification and management of AAM with early-stage PCa. CLINICALTRIALS: gov identifier: NCT02723734.

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