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Foundation Medicine

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Personalised Healthcare
Apr 8 / Roche and Genentech
Conceptualization of core clinico-molecular variables for registries enrolling patients diagnosed with a solid tumor and profiled with next-generation sequencing (NGS)
This study proposes a framework for identifying the core variables that are most critical for solid tumor-based, real-world studies and registries in precision oncology. Mandatory and optional variables are described, as well as recommendations for vocabularies to use, which will provide viable guidance for conducting research- and regulatory-grade real-world precision oncology studies, and facilitating standardized data collection and thus pooling from various datasets.

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Personalised Healthcare
Apr 8 / Roche and Genentech
WAYFIND-R: Delivering a high-quality real-world data (RWD) global registry of patients diagnosed with a solid tumor and profiled with next-generation sequencing (NGS)
This poster presents the study design of WAYFIND-R, a global, prospective, longitudinal, and generalizable registry of adults with any type/stage of solid tumor profiled with next-generation sequencing (NGS) ≤3 months before enrollment. WAYFIND-R will inform on best practice for NGS-based treatment decisions by clinicians, foster global collaborations between cancer centers (enabling robust conclusions to be drawn regarding outcome data), aid understanding of disparities in patients’ access to advanced diagnostics and therapies, and ultimately drive advances in precision oncology.

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Personalised Healthcare
Sep 16 / Roche and Genentech
Supplementary data: Utilisation and predictors of genomic testing prior to first-line (1L) therapy in patients (pts) with metastatic colorectal cancer (mCRC)
This study used structured and unstructured data from the US nationwide electronic health record-derived de-identified Flatiron Health database to describe the utilisation and predictors of RAS, BRAF and microsatellite instability testing (both next-generation sequencing and non-next-generation sequencing), prior to first-line therapy initiation in stage IV or recurrent metastatic colorectal cancer (between 2013 and 2020).

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Personalised Healthcare
Sep 16 / Roche and Genentech
Utilisation and predictors of genomic testing prior to first-line (1L) therapy in patients (pts) with metastatic colorectal cancer (mCRC)
This study used structured and unstructured data from the US nationwide electronic health record-derived de-identified Flatiron Health database to describe the utilisation and predictors of RAS, BRAF and microsatellite instability testing (both next-generation sequencing and non-next-generation sequencing), prior to first-line therapy initiation in stage IV or recurrent metastatic colorectal cancer (between 2013 and 2020).

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Personalised Healthcare
Sep 16 / Roche and Genentech
Supplementary data: Baseline mutational profiles of patients (pts) with carcinoma-of-unknown-primary-origin (CUP) enrolled onto CUPISCO
This study was a preliminary, descriptive molecular analysis of ~50% of patients designated for enrolment in CUPISCO (NCT03498521), an ongoing, phase II randomised study of targeted therapy/cancer immunotherapy vs platinum-based chemotherapy in patients with unfavourable carcinoma-of-unknown-primary-origin (per European Society for Medical Oncology guidelines). The study utilised comprehensive genomic profiling to analyse gene alterations occurring in ≥3% of patients, using multiple correspondence analyses and hierarchical clustering to identify co-occurrences. The genomic signatures microsatellite instability and tumour mutational burden were also determined.

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Personalised Healthcare
Sep 16 / Roche and Genentech
Baseline mutational profiles of patients (pts) with carcinoma-of-unknown-primary-origin (CUP) enrolled onto CUPISCO
This study was a preliminary, descriptive molecular analysis of ~50% of patients designated for enrolment in CUPISCO (NCT03498521), an ongoing, phase II randomised study of targeted therapy/cancer immunotherapy vs platinum-based chemotherapy in patients with unfavourable carcinoma-of-unknown-primary-origin (per European Society for Medical Oncology guidelines). The study utilised comprehensive genomic profiling to analyse gene alterations occurring in ≥3% of patients, using multiple correspondence analyses and hierarchical clustering to identify co-occurrences. The genomic signatures microsatellite instability and tumour mutational burden were also determined.

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