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N. Kwon

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    MA 06 - Lung Cancer Biology I (ID 660)

    • Event: WCLC 2017
    • Type: Mini Oral
    • Track: Biology/Pathology
    • Presentations: 1
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      MA 06.04 - Development of Next-Generation Sequencing Based Cancer Panel and Its Clinical Implications in Lung Cancer (ID 9003)

      15:45 - 17:30  |  Author(s): N. Kwon

      • Abstract
      • Presentation
      • Slides

      To search actionable driver mutations, various cancer panels using next-generation target sequencing technologies are rapidly developed and adopted in the treatment of lung cancer. We developed a new cancer panel to detect 313 coding gene mutations, 30 fusion and 3 exon-skipping genes including either known or potential target genes. Performance of the panel was tested on our archived lung cancer tissue bank samples.

      Two hundreds and two samples were tested (male 118, female 84, median age 63 (30-84) years). Histologic cell types were mainly adenocarcinoma (adenocarcinoma 158, squamous cell 25, large cell 6, sarcomatous 3, small cell 1, and mixed cell types 9).

      With our cancer panel, 139 samples (68.8%) were identified to have mutations including 88 EGFR, 23 KRAS, 8 MET mutations, 7 ALK, 6 RET, 3 ROS1, 6 rare fusions (PTEN, BRAF, MET, CBFB, EWSR1, BCR), and 18 CNV alterations. Medical records revealed that traditional single-site tests including Sanger sequencing of EGFR, KRAS mutations and either immunohistochemical stain or FISH test for ALK or RET fusion had been performed in 191 patients. Among those patients, we identified 102 pathogenic mutations (53.4%) including 80 EGFR, 14 KRAS mutations, 6 ALK, and 2 RET fusions. Conventional single-site test results matched with that of cancer panel in 139 samples (72.8%). Cancer panel detected additional mutations in 48 samples (25.1%; 38 from the single-site test negative and 10 from positive samples). In two samples, the results showed discrepancy while in the other two, mutations were detected only in single-site test. However additional tests revealed cancer panel results to be correct. Excluding 4 patients with M1 stage, 198 patients’ long-term survival were analyzed according to the mutational status. In Cox’s proportional hazard model, presence of EGFR mutation was the only prognostic marker that predicted long-term survival along with clinical variables such as age, pT-stage, and pN-stage.

      In our results, we confirmed superior accuracy of our cancer panel compared to the traditional single-site tests. Furthermore, the new cancer panel discovered novel mutations, of which significance requires future functional investigation and potential development of new target agents.

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