Comprehensive Genomic Profiling
Our laboratory offers end-to-end genomic profiling services designed to support pharmaceutical development and academic research. By utilizing the Illumina TruSight Oncology 500 (TSO-500) and Nanodigmbio NanOnco Plus Panel v3.0 assay, we provide researchers with a standardized, comprehensive view of the tumor genome, enabling robust biomarker discovery and retrospective analysis of clinical trial samples.
Molecular Characterization: Turning Samples into Data
Benefit: Researchers can instantly query your biobank for specific, hard-to-find genotypes (e.g., “Lung cancer samples with KRAS G12C mutations” or “Breast cancer tissue with PIK3CA amplification“), significantly shortening their cohort selection time.
- Fusion Detection: By sequencing RNA, we identify complex gene fusions (e.g., NTRK, RET, FGFR) that are highly sought after for drug development.
- Copy Number Variations (CNVs): We characterize gene amplifications and deletions, adding another layer of data depth beyond simple point mutations.
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Tumor Mutational Burden (TMB): We provide a precise TMB score (mutations/megabase), allowing researchers to stratify samples into “High-TMB” vs. “Low-TMB” cohorts.
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Microsatellite Instability (MSI): Samples are definitively categorized as MSI-High or MSS, a critical filter for immuno-oncology studies.

Precision Stratification: Optimizing Clinical Trial Success
Biomarker-Driven Enrollment (Enrichment)
We serve as a precision filter. By screening hundreds of genes simultaneously, we identify and enroll only those patients who carry the specific actionable targets required for your molecule (e.g., NTRK fusions, BRAF V600E, or ERBB2 amplification). A highly enriched cohort in which your drug has the greatest biological likelihood of success.
Stratifying by Immune Response Potential
We stratify subjects into High, Intermediate, and Low TMB groups to correlate mutation load with therapeutic response and refine future diagnostic cutoffs. We also provide definitive MSI-High versus MSS classification to exclude likely non-responders and avoid confounding in immunotherapy studies—resulting in a cohort enriched for the patients most likely to benefit from your drug.
Exclusion & Rescue (The 'Clean' Cohort)
A patient may carry the target mutation (e.g., EGFR L858R) while also harboring downstream resistance variants (e.g., KRAS or PIK3CA), which can dilute treatment effect and risk false-negative trial results. Our testing identifies these co-occurring resistance markers upfront, allowing you to redirect or exclude such patients to protect the integrity of your primary efficacy data.






