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Biomedical subjects

Debbie G J Robbrecht

Publications and source records attributed to Debbie G J Robbrecht.

3 recordsLinked to original sources

Molecularly Guided Therapy Versus Continued Chemotherapy in Unfavorable Cancer of Unknown Primary: Updated Efficacy and Safety From the Randomized, Phase II CUPISCO Study.

CUPISCO (ClinicalTrials.gov identifier: NCT03498521) demonstrated longer progression-free survival (PFS) with comprehensive genomic profiling (CGP) and subsequent molecularly guided therapies (MGTs), versus standard platinum-based chemotherapy, in patients with previously untreated, unfavorable cancer of unknown primary (CUP) who reached disease control after induction chemotherapy (three cycles). We report efficacy and safety after >1 year of additional follow-up. Eligible patients were randomly assigned (3:1) to MGT (investigator-chosen after discussion in a molecular tumor board) or three further cycles of chemotherapy. The primary end point was PFS. Secondary end points included overall survival (OS) and safety. At data cutoff (December 6, 2024), 436 patients were randomly assigned (326 to MGT; 110 to chemotherapy). Median follow-up was 37.0 months (range, 0.0-67.8). Updated median PFS was 6.1 months (95% CI, 4.7 to 6.5) with MGT and 4.4 months (95% CI, 4.2 to 6.4) with chemotherapy (hazard ratio [HR], 0.75 [95% CI, 0.59 to 0.95]; P = .017); median OS was 15.2 months (95% CI, 13.9 to 18.4) and 12.8 months (95% CI, 9.8 to 15.4), respectively (HR, 0.79 [95% CI, 0.61 to 1.02]; P = .0689). No new safety signals were identified. These updated results aligned with the primary analysis, demonstrating the benefit of CGP with subsequent MGT and highlighting the importance of incorporating CGP at initial diagnosis to guide treatment decisions for patients with unfavorable CUP.

Journal Article

Expression patterns of potential targets for antibody-directed therapy in metastatic castration-resistant prostate cancer patients.

INTRODUCTION: Survival in metastatic castration-resistant prostate cancer (mCRPC) patients remains limited and treatment is complicated by tumor heterogeneity. As antibody-based therapeutics emerge, identifying actionable antigen targets and patient subgroups most likely to benefit is essential. MATERIALS & METHODS: Gene expression of 62 antibody-targetable proteins was analyzed in 296 mCRPC biopsies. These genes encode proteins targeted by approved or investigational antibody-based cancer therapeutics. Associations between target expression with genomic classifications and transcriptomic subtypes were evaluated. Target expression was also assessed in tumors with low expression of established mCRPC targets. Subgroup-specific targets were validated in an independent cohort and single-cell transcriptomics. RESULTS: Established targets KLK2, FOLH1 (PSMA) and STEAP1 showed the highest median expression across the cohort. Target expression did not correlate with genomic classifications, including homologous recombination deficiency, microsatellite instability, CDK12, TP53, PTEN or AR alterations Target expression did associate with transcriptomic subtypes: CRPC-AR (driven by androgen receptor-signaling) and CRPC-SCL (stem cell-like features, AP-1/YAP/TAZ-driven), displayed the highest expression of multiple targets, including KLK2, FOLH1, and SLC44A4. CRPC-NE (neuroendocrine phenotype) showed heterogeneous expression, with high CD46 expression, whereas CRPC-WNT (Wnt-signaling driven) generally showed low target expression. Notably, CD46 was highly expressed in tumors with low KLK2, FOLH1, and STEAP1 expression, a subgroup associated with poor prognosis. CONCLUSIONS: Although several antibody targets showed broad expression in mCRPC-tumors, expression varied by transcriptomic subtype. Subgroups such as CRPC-WNT expressed fewer targets, suggesting the need for alternative therapeutic strategies. CD46 emerged as a promising target, with wide expression across multiple subtypes, including clinically challenging CRPC-NE and mCRPC tumors lacking expression of established targets.

Humans

Longitudinal genome-wide aneuploidy measurements in circulating cell-free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer.

Accurate prediction of lack of benefit from pembrolizumab in patients with metastatic urothelial cancer (mUC) is an unmet need. We investigated the dynamics of circulating tumor DNA (ctDNA) load, estimated using the modified fast aneuploidy screening test-sequencing system (mFast-SeqS), as a potential biomarker for early on-treatment identification of treatment response. A total of 104 patients with mUC treated with pembrolizumab from two prospective biomarker discovery trials were included and mFast-SeqS was performed on paired blood samples collected at baseline and on-treatment. Patients with a high on-treatment aneuploidy score (&#x2265;&#x2009;5, n&#x2009;=&#x2009;26) had a shorter median OS than patients with a low (<&#x2009;5) score (n&#x2009;=&#x2009;76) (3 vs 17&#x2009;months: P-value<&#x2009;0.001). Patients with an increased (n&#x2009;=&#x2009;10), stable (n&#x2009;=&#x2009;66), or decreased (n&#x2009;=&#x2009;28) on-treatment score relative to their baseline score had a median PFS of 1.5, 4.0, and 8.3&#x2009;months, respectively. Median OS was 3.0, 11.1, and 18.7&#x2009;months, respectively. In patients with mUC treated with pembrolizumab, the on-treatment mFast-SeqS-based ctDNA level and its dynamics relative to baseline are independent prognostic markers that can be used to identify patients that are unlikely to benefit from pembrolizumab.

Humans