Open AccessKRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test
Author(s) -
Caterina De Luca,
Elena Vigliar,
Melania d'Anna,
Pasquale Pisapia,
Claudio Bellevicine,
Umberto Malapelle,
Giancarlo Troncone
Publication year - 2017
Publication title -
cyto journal/cytojournal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 27
eISSN - 0974-5963
pISSN - 1742-6413
DOI - 10.4103/1742-6413.200936
Subject(s) - kras , medicine , genotyping , colorectal cancer , molecular diagnostics , cytopathology , polymerase chain reaction , oncology , pancreatic cancer , molecular pathology , cancer , bioinformatics , pathology , genetics , genotype , biology , cytology , gene
Background: Molecular techniques are relevant to modern cytopathology, but their implementation is difficult without molecular expertise and infrastructure. The assessment of KRAS mutational status on cytological preparations may be useful either to refine uncertain diagnoses on pancreatic aspirates or to yield predictive information to plan targeted treatment of metastatic colorectal cancer (mCRC). The novel test Idylla™ enables fully automated KRAS genotyping in approximately 2 h, even in less experienced hands. Materials and Methods: This study aims to validate this methodology to detect KRAS mutations on archival cytological preparations of pancreatic cancer (n = 9) and mCRC (n = 9) by comparing the Idylla™ performance to that of standard real-time polymerase chain reaction. Results: The same 11 mutations (n = 4: p.G12D; n = 2: p.G12V; n = 2: p.A59E/G/T; n = 1: p.G12R; n = 1: p.G13D; n = 1: p.Q61H) were detected by both techniques. Conclusion: Even in less experienced laboratories, a cytopathologist may easily integrate morphological diagnostic report with accurate KRAS mutation detection, which is relevant for diagnostic and treatment decisions