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A. Lazar



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    O04 - Molecular Pathology I (ID 126)

    • Event: WCLC 2013
    • Type: Oral Abstract Session
    • Track: Pathology
    • Presentations: 1
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      O04.02 - Using NGS for Mutational Profiling of NSCLC in the Clinical Setting (ID 2571)

      10:40 - 10:50  |  Author(s): A. Lazar

      • Abstract
      • Presentation
      • Slides

      Background
      Recent advances in molecular characterization of lung cancer have led to the identification of potential therapeutic targets that play key roles in regulating cell growth and proliferation. With the introduction of new targeted therapies, it becomes increasingly important to accurately characterize mutation status in lung cancer patients to provide personalized care that define prognosis and predict response to therapy. The advent of next generation sequencing (NGS) platforms in the realm of clinical molecular diagnostics has made multi-gene mutational profiling an affordable and highly successful methodology for massively parallel sequencing using small quantities of DNA.

      Methods
      Tumor specimens from 262 distinct samples of primary lung carcinoma including adenocarcinoma (n=228), squamous cell carcinoma (n=15), non small cell cancer not otherwise specified (NSC-NOS) (n=8), poorly differentiated carcinoma (n=4), neuroendocrine carcinoma (n=2), small cell carcinoma (n=1) and pleomorphic carcinoma (n=4) were tested by NGS. Tumor samples included formalin-fixed paraffin-embedded surgical core needle biopsies, resection specimens, cytopathology cell blocks, as well as cytopathology direct smears. Ten ng of DNA from each sample was tested for mutations in hotspot regions of 46 cancer related genes (Ion AmpliSeq Cancer Panel) using either a 316 chip or a 318 chip on an Ion Torrent Personal Genome Machine (PGM) Sequencer (Life Technologies, CA).

      Results
      Mutations were detected in 222/240 (93%) patients with a histologic diagnosis of adenocarcinoma, NSC-NOS or PDC. EGFR mutations were detected in 47 (20%) of these patients and double EGFR mutations identified in 13 cases, including acquired resistance mutations T790M (n=6) and S768I (n=3). KRAS mutations were detected in 61 (25%) cases, most commonly involving codons 12 and 13 (n= 58) and less frequently involving codons 61 and 146 (n= 3). TP53 was most frequently mutated (n=65; 27%) and was often seen in conjunction with EGFR mutations (n=14; 5%) and KRAS mutations (n=15; 6%). Mutations were detected in 10/15 (67%) squamous cell carcinomas with mutations in TP53 (n=5), CDKN2A (n=3) and PIK3CA (n=2) most frequently seen. Additional mutations detected at a lower frequency from the entire dataset were STK11, ATM, BRAF, PIK3CA, CTNNB1, IDH1, NRAS, CDKN2A, KDR, RET, MET, FBXW7, APC, RB1, FLT3, GNAS, ABL1, HRAS, PTPN11, JAK3, NOTCH1, SMAD4, SMARCB1, SMO, MLH1, AKT1, and ERBB4.

      Conclusion
      In summary, our results show that NGS-based mutational profiling using small amounts of DNA derived from FFPE as well as cytology smears can provide important information regarding mutation status of genes that play key roles in growth and progression of tumor in lung cancer patients and can provide insight into directing personalized cancer therapy.

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