- What each test is built to do:
- Afirma GSC (± Xpression Atlas):
- ThyroSeq v3 GC:
- DNA / RNA next-gen panel across many genes (mutations, fusions, copy-number alterations, helpful in oncocytic cell lesions / Hürthle cell lesions) designed for rule-out + rule-in and therapy-relevant profiling JAMA NetworkThyroSeq
- ThyGeNEXT + ThyraMIR v2 (Interpace):
- Two-step oncogene panel → reflex miRNA classifier; aims for balanced rule-out with stronger rule-in when driver / miRNA high-risk pattern is present PMCThygenext Thyramir
- Performance (typical ranges in Bethesda III–IV):
- Afirma GSC:
- High sensitivity / NPV in VS and real-world cohorts:
- PPV modest to moderate
- Many studies report:
- NPV ~ 94% to 97%
- PPV ~ 45% to 65%
- Real-world series show improved yield vs validation PMCScienceDirect
- High sensitivity / NPV in VS and real-world cohorts:
- ThyroSeq v3:
- Validation and multi-center series show high sensitivity / NPV with higher PPV than Afirma in several cohorts:
- PPV ~ 60% to 65%
- Institutional data show sensitivity ~ 92% to 95% (Bethesda III to IV) JAMA NetworkACS Publications
- Validation and multi-center series show high sensitivity / NPV with higher PPV than Afirma in several cohorts:
- ThyGeNEXT/ThyraMIR v2:
- Reported NPV ~ 93% to 96%
- Useful PPV when drivers / miRNA risk present
- 2025 systematic review suggests high surgical avoidance rates among platforms PMCResearchGate
- Afirma GSC:
- Prognostic/management information (actionability):
- Afirma GSC + XA:
- If Suspicious, XA reports fusions / variants (e.g., RET, NTRK, ALK):
- Which can guide targeted therapy decisions down the line
- GSC itself primarily aids avoiding surgery Veracyte
- If Suspicious, XA reports fusions / variants (e.g., RET, NTRK, ALK):
- ThyroSeq v3:
- Reports BRAF, RAS, TERT-p, RET / NTRK/ ALK, gene expression and copy-number profiles:
- Useful for risk stratification (e.g., TERT / BRAF V600E for aggressiveness) and for operative planning (extent, LN assessment) and potential targeted options
- Particularly helpful in Hürthle-predominant nodules JAMA NetworkThyroSeq
- Reports BRAF, RAS, TERT-p, RET / NTRK/ ALK, gene expression and copy-number profiles:
- ThyGeNEXT/ThyraMIR v2:
- Calls out high-risk drivers (BRAF V600E, TERT, ALK, etc.) and refines intermediate results with miRNA pairs:
- Useful for deciding between surveillance vs diagnostic lobectomy when imaging / clinical risk is equivocal PMCInterpace Biosciences®, Inc.
- Calls out high-risk drivers (BRAF V600E, TERT, ALK, etc.) and refines intermediate results with miRNA pairs:
- Afirma GSC + XA:
- Independent comparisons and guidelines:
- Contemporary reviews / meta-analyses:
- Afirma GSC and ThyroSeq v3 both excel as rule-out tests (high sensitivity / NPV), with ThyroSeq often showing higher PPV (rule-in)
- Interpace’s combined platform performs comparably on NPV with strong rule-in behavior in some studies ScienceDirect+1PMC
- Contemporary reviews / meta-analyses:
- Societal guidance (ETA 2023):
- Molecular tests can reduce diagnostic surgery and should be selected to match pretest risk and clinical goals rather than “one best test for all.” PMC
- Bottom line (how to choose today):
- If your primary goal is to avoid surgery (rule-out) in Bethesda III to IV with low–intermediate pretest risk:
- Afirma GSC or ThyroSeq v3 are both appropriate:
- Real-world data support high NPV for both PMCJAMA Network
- Afirma GSC or ThyroSeq v3 are both appropriate:
- If you want both strong rule-out and richer “what kind of cancer is this if positive?” detail to guide extent of surgery and future therapy:
- ThyroSeq v3 generally provides more granular prognostic / actionable data (TERT/driver profile, CNA burden, Hürthle copy-number signature) and often a higher PPV than Afirma
- This makes it my usual pick when operative planning may hinge on genotype JAMA NetworkThyroSeq
- If you favor a stepwise, cost-conscious approach with meaningful rule-in capability when drivers /miRNA are high-risk:
- ThyGeNEXT + ThyraMIR v2 is reasonable:
- Pooled data show competitive NPV and good surgical-avoidance rates PMCResearchGate
- ThyGeNEXT + ThyraMIR v2 is reasonable:
- If your primary goal is to avoid surgery (rule-out) in Bethesda III to IV with low–intermediate pretest risk:
- Practical take for your clinic:
- For Bethesda III to IV nodules with indeterminate US where you want to minimize unnecessary operations and inform extent if positive:
- ThyroSeq v3 is the most versatile single test today
- For surgeon’s “rule-out first” workflows with straightforward nodules and low pretest risk:
- Afirma GSC is perfectly acceptable:
- Add XA if suspicious and you want therapy targets.
- Afirma GSC is perfectly acceptable:
- For equivocal cases where a rule-in signal would materially change from surveillance to surgery, or when prior testing is ambiguous:
- ThyGeNEXT + ThyraMIR v2 is a solid option
- For Bethesda III to IV nodules with indeterminate US where you want to minimize unnecessary operations and inform extent if positive:

Interpretation & Take-Home
- Best Rule-Out (Highest NPV and Sensitivity):
- Afirma GSC (real-world meta-analysis: SN ~97%, NPV ~99%) and ThyroSeq v3 (UCLA trial: SN 97%, NPV 99%) are essentially neck-and-neck in ruling out malignancy. Both demonstrate excellent reliability in avoiding unnecessary surgeries.
- Better Rule-In (Higher PPV):
- ThyroSeq v3 edges ahead slightly with PPV ~64% versus Afirma’s ~57% in comparable settings, meaning a positive result is more likely to indicate true malignancy.
- Manufacturer-Reported MPTX (ThyGeNEXT + ThyraMIR):
- Claims very strong performance (SN ~ 95%, SP ~ 90%, NPV ~ 97%, PPV ~ 75%):
- But these results may reflect idealized cohorts with prevalence adjustments
- Real-world studies show more conservative metrics:
- SN ~ 76%, SP ~ 75%, NPV ~ 83%, PPV ~ 67%).
- Claims very strong performance (SN ~ 95%, SP ~ 90%, NPV ~ 97%, PPV ~ 75%):
- In Summary:
- For maximum confidence in rule-out:
- Afirma GSC and ThyroSeq v3 are clearly superior
- If positive actionable findings (e.g., higher PPV, molecular prognostic detail) are crucial:
- ThyroSeq v3 offers an advantage
- MPTX is promising, especially if you value a modular approach, but real-world validation remains less robust than for the other two
- For maximum confidence in rule-out:

