Structures molecular test interpretation including NGS panels, FISH, and PCR-based assays. Use when interpreting molecular results, reporting genetic variants, or documenting molecular findings.
Structures molecular test interpretation including NGS panels, FISH, and PCR-based assays.
Molecular pathology drives precision oncology, pharmacogenomics, and hereditary disease diagnosis. Next-generation sequencing (NGS) panels, fluorescence in situ hybridization (FISH), and PCR-based assays identify actionable genomic alterations that determine eligibility for targeted therapies, immunotherapy, and clinical trials. Misinterpretation of variant significance, failure to detect fusion genes, or incorrect tumor mutational burden (TMB) calculations can deny patients effective treatment or expose them to inappropriate therapy.
CAP accreditation requires compliance with the Molecular Pathology (MOL) checklist including validated bioinformatics pipelines, documented variant interpretation workflows, and proficiency testing. The Association for Molecular Pathology (AMP), American Society of Clinical Oncology (ASCO), and College of American Pathologists jointly published standards for somatic variant interpretation and reporting. Germline variant classification follows ACMG/AMP guidelines. CLIA 42 CFR 493.1253 mandates that molecular test performance characteristics be established and verified before clinical use.
Verify specimen and sequencing quality metrics:
| Metric | Acceptable for NGS | Marginal | Insufficient |
|---|---|---|---|
| Tumor cellularity | >= 20% | 10-20% (macro-dissect) | < 10% |
| DNA input (FFPE) | >= 50 ng | 10-50 ng | < 10 ng |
| DNA integrity (DIN) | >= 3.0 | 2.0-3.0 | < 2.0 |
| RNA input (fusion panel) | >= 50 ng | 20-50 ng | < 20 ng |
| Mean coverage depth | >= 500x (somatic) | 250-500x | < 250x |
| Percentage targets >= 100x | >= 95% | 90-95% | < 90% |
| ctDNA input (liquid biopsy) | >= 20 ng cfDNA | 10-20 ng | < 10 ng |
Document any QC flags and their impact on sensitivity: low tumor content reduces limit of detection for low-frequency variants.
Apply the validated bioinformatics pipeline with systematic variant filtering:
| Tier | Definition | Examples |
|---|---|---|
| Tier I: Strong Clinical Significance | FDA-approved therapy or included in professional guidelines (NCCN) for this tumor type | EGFR L858R in NSCLC, BRAF V600E in melanoma |
| Tier II: Potential Clinical Significance | FDA-approved therapy for a different tumor type, or investigational therapy with clinical evidence | NTRK fusions (tissue-agnostic), KRAS G12C |
| Tier III: Unknown Clinical Significance | Not observed in population databases or cancer databases; no current therapeutic implication | Novel missense variants in known oncogenes |
| Tier IV: Benign or Likely Benign | Observed at high frequency in population databases; no functional or clinical evidence | Common polymorphisms, synonymous variants |
Classify using the 28 evidence criteria (PVS1, PS1-PS4, PM1-PM6, PP1-PP5 for pathogenic; BA1, BS1-BS4, BP1-BP7 for benign):
| Class | Definition |
|---|---|
| Pathogenic | Strong evidence of disease causation |
| Likely Pathogenic | Evidence favoring pathogenicity (>90% probability) |
| VUS | Uncertain significance; insufficient evidence |
| Likely Benign | Evidence favoring benign (>90% probability) |
| Benign | Strong evidence against disease causation |
Structure the report per AMP/CAP molecular reporting standards: