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Caris GPSai

Caris GPSai analyzes genomic and transcriptomic data to match a tumor’s molecular signature to one or more of 90 cancer categories from the Caris database. Caris GPSai provides additional insight to help oncologists better manage CUP or cases with atypical clinical presentation or clinical ambiguity.

Cancer of Unknown Primary (CUP) diagnosis is typically treated empirically and has very poor outcomes, with median overall survival less than one year.1 Caris GPSai, a Genomic Probability Score, uses whole exome (DNA) and whole transcriptome (RNA) sequencing coupled with trained and validated neural networks to aid in identifying the tissue of origin.

Treatment planning relies heavily on accurate cancer type or lineage diagnosis. However, some cancers can present with clinical ambiguity or may be cancers of unknown primary (CUP) which can contribute to discrepancies in diagnosis. Rates of inaccurate diagnosis range from 3-9%2, given the critical nature between diagnosis and therapy decision Caris GPSai plays an integral part in therapy selection and may lead to improved diagnostic accuracy.

The Caris GPSai algorithm was trained and retrospectively validated on over 250,000 cases from the Caris database. The algorithm was then validated prospectively on an additional 3,200 MI Tumor Seek Hybrid™ cases.

Validation based on non-CUP 1 calls across 90 tumor categories in 3,200 MI Tumor Seek Hybrid cases.

Caris GPSai provides clinically meaningful information in a large proportion of CUP cases and inclusion of Caris GPSai in clinical routine could improve diagnostic fidelity. Moreover, all genomic markers essential for therapy selection are assessed in this assay, maximizing the clinical utility for patients within a single test.

  1. Massard C, Loriot Y, Fizazi K. Carcinomas of an unknown primary origin–diagnosis and treatment. Nat Rev Clin Oncol. 2011 Nov 1;8(12):701-10. doi: 10.1038/nrclinonc.2011.158. PMID: 22048624
  2. Peck, M., Moffat, D., Latham, B., Badrick, T., Review of diagnostic error in anatomical pathology and the role and value of second opinions in error preventions, J. Clin. Pathol. 71 (11) (2018) 995-1000.

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