K-numberK250003
Device nameGENESEEQPRIME NGS Tumor Profiling Assay (FFPE) (GS6005)
ApplicantGeneseeq Technology, Inc.
Product codePZM
Device classClass II
Decision dateAug 29, 2025
DecisionSubstantially Equivalent
Regulation866.6080
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

The GENESEEQPRIME NGS Tumor Profiling Assay (FFPE) is a qualitative in vitro diagnostic test that uses next-generation sequencing to detect tumor gene alterations in DNA extracted from formalin-fixed, paraffin-embedded tissue samples. It identifies somatic variants (SNVs, indels), amplifications, translocations, microsatellite instability (MSI), and tumor mutation burden (TMB) across a panel of 425 cancer-related genes to provide mutation profiling information for use by oncologists in treatment decisions.

Technological characteristics

The device uses hybrid capture technology with the Illumina NextSeq 550Dx sequencer, targeting 425 genes compared to the predicate's 505 genes. It reports four gene translocations (ALK, RET, ROS1, NTRK1) versus the predicate's different set (NTRK2, NTRK3). The assay employs a self-developed machine learning model (ToSeq) to distinguish somatic from germline variants without matched normal samples, and establishes thresholds of 0.4–2% VAF depending on variant type and clinical significance.

Test standards cited

Not stated in this summary.

Substantial equivalence argument

The device is substantially equivalent to the predicate (PGDx elio Tissue Complete, K192063) because both use hybrid capture NGS targeting the same specimen type (FFPE tumor tissue), the same instrument platform (Illumina NextSeq 550Dx), and report the same categories of alterations (SNVs, indels, CNV amplification, translocations, MSI, TMB). Although the gene panel differs in size and some translocation targets, the fundamental intended use, methodology, and performance characteristics are sufficiently similar. Clinical accuracy data demonstrates >92% positive percent agreement for SNVs/indels, >93% for ERBB2 amplification, and >96% for MSI detection, with reproducibility and sensitivity studies confirming reliable performance across laboratories and sample conditions.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

Researching this as a predicate?
Want a transparent AI-ranking score, AI-discovered related predicates, ongoing safety and warning-letter monitoring, full predicate chain lineage, and a drafted SE rationale — all saved to your own project? That's what an account adds.
Start free trial →

Everything you need for a 510(k) submission. Nothing you don't.

14-day free trial. No setup. Cancel anytime.

Start free trial →
Building an AI or ML-enabled device? Predicate search, PCCP tracking, and AI-specific FDA intelligence — built exclusively for AI/ML devices. Try AIFDA Intel →