The Genomic Landscape of Medullary Thyroid Carcinoma Identified by the Afirma RNA-Sequencing Classifier: Insights into a Large Real-World Cohort

Hamidi S, et al. American Thyroid Association Annual Meeting June 2025

Introduction

  • The Afirma RNA-sequencing Medullary Thyroid Carcinoma (MTC) classifier, a component of the Afirma Genomic Sequencing Classifier (GSC), was previously validated as a reliable tool for preoperative identification of MTC from fine-needle aspiration (FNA) specimens. 1,2
  • We aimed to characterize the genomic landscape of MTC identified using this classifier in a large real-world cohort of FNA samples.

Methods

  • We retrospectively analyzed MTC positive samples by the Afirma MTC classifier in the Veracyte CLIA laboratory between January 2018 and June 2024.
  • Genomic variants identified by the Afirma Xpression Atlas (XA) were characterized.3

Results

Demographic and cytologic characteristics

  • Among 252,510 FNA samples tested, 732 (0.3%) were classified as MTC.
  • Median patient age was 63.2 years (IQR, 52.1-72.1) and median nodule size was 2.1 cm (IQR, 1.6-3.0).
  • On cytology, 71% (520/732) of nodules were Bethesda III or IV, 18% were Bethesda V and 11% were Bethesda VI (Table 1).

Molecular characteristics

  • 73% of MTC-positive thyroid nodules had at least one pathogenic variant identified by XA, most commonly in RET (53%) and RAS (19%) with no significant difference across Bethesda categories (Table 2).
    • Most RET alterations were in codons 918 (19%) and 634 (10%), while HRAS was the most frequently altered RAS isoform (15%).
  • Mutually exclusive oncogenic fusions were identified in 8 non-RET/RAS SNV mutated samples [EML4::ALK (n=1), MKRN1::BRAF (n=6), and SPECC1L::RET (n=1)].
  • Additional isolated altered variants identified in non-RET/RAS samples included AKT1, DICER1, PIK3CA, and TP53.

Pathway expression

  • ERK signaling activity was highest in RAS-mutated MTC-positive samples, followed by RET-mutated and non RET/RAS MTC, with all MTC-positive groups showing greater activity than non-MTC Afirma GSC-suspicious samples (Figure 1).
  • Across MTC-positive samples, RET M918T and HRAS variants were associated with the highest degree of ERK activity (Figure 2).

Conclusion

  • This large study reinforces the known genomic landscape of MTC.
  • Additionally, our findings highlight that a subset of thyroid nodules sent for Afirma GSC testing are unrecognized MTCs, underscoring the value of molecular testing in improving preoperative diagnostic accuracy.
  • Gene expression analysis showed that ERK activity was slightly lower in RET-driven than in RAS-driven MTC (p=0.02), but significantly higher in both groups compared with non-RET/non-RAS samples (p<1-10).
  • Further study is needed to molecularly define the nearly 30% of specimens that lacked detectable alterations.
Conference Materials Afirma Thyroid

The Genomic Landscape of Medullary Thyroid Carcinoma Identified by the Afirma RNA-Sequencing Classifier: Insights into a Large Real-World Cohort

Hamidi S, et al. ATA. 2025.

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References

  1. Patel KN, et al. Performance of a Genomic Sequencing Classifier for the Preoperative Diagnosis of Cytologically Indeterminate Thyroid Nodules. JAMA Surg. 2018. DOI: 10.1001/jamasurg.2018.1153
  2. Iyer PC, et al. Analytical Validation of a Telomerase Reverse Transcriptase (TERT) Promoter Mutation Assay. J Clin Endocrinol Metab. 2024. DOI: 10.1210/clinem/dgae134
  3. Angell TE, et al. Analytical and Clinical Validation of Expressed Variants and Fusions From the Whole Transcriptome of Thyroid FNA Samples. Front Endocrinol (Lausanne). 2019. DOI: 10.3389/fendo.2019.00612