IDH1/2 Mutations in Sinonasal Undifferentiated Carcinomas : Previously Undescribed IDH2 R172K and R140x Variants

Aanchal Kakkar1, Amber Rathor1, Subiyathul Farah Ashraf1

  • 1Departments of Pathology.

Insights

Quantitative real-time PCR effectively detects IDH1/2 mutations in sinonasal undifferentiated carcinoma (SNUC), outperforming immunohistochemistry and Sanger sequencing, especially in resource-limited settings.

Area of Science:

  • Oncology
  • Genetics
  • Pathology

Background:

  • Sinonasal undifferentiated carcinoma (SNUC) is a rare epithelial neoplasm.
  • Emerging research identifies specific genetic mutations, including IDH1/2, in a subset of SNUC cases.
  • Optimal methods for detecting these IDH1/2 mutations in SNUC require further investigation.

Purpose of the Study:

  • To evaluate and compare the sensitivity of different methods for detecting IDH1/2 mutations in SNUC.
  • To identify the most frequent IDH1/2 variants in SNUC.
  • To assess the utility of qPCR, immunohistochemistry, and Sanger sequencing for IDH1/2 mutation detection in SNUC.

Main Methods:

  • Retrospective analysis of 38 SNUC cases diagnosed between 2010 and 2020.
  • Detection of IDH1/2 mutations using quantitative real-time polymerase chain reaction (qPCR) on DNA from formalin-fixed paraffin-embedded tissues.
  • Comparison with results from immunohistochemistry using a mutant-specific antibody and Sanger sequencing.

Main Results:

  • IDH1/2 mutations were detected in 47.4% (18/38) of SNUC cases by qPCR.
  • IDH2 R172K and IDH2 R140x variants were the most frequent, each found in 33.3% (6/18) of mutated cases.
  • qPCR demonstrated higher sensitivity compared to Sanger sequencing (19%) and immunohistochemistry (5.3%) for IDH1/2 mutation detection.

Conclusions:

  • IDH2 R172K and IDH2 R140x variants represent novel findings in SNUC.
  • qPCR offers a sensitive and potentially valuable method for IDH1/2 mutation detection in SNUC.
  • Immunohistochemistry and Sanger sequencing exhibit limitations in sensitivity for detecting IDH1/2 mutations in SNUC, particularly in resource-limited settings.

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