Virtual Library

Start Your Search

Sarunporn Techasurungkul



Author of

  • +

    P3.09 - Pathology (Not CME Accredited Session) (ID 975)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/26/2018, 12:00 - 13:30, Exhibit Hall
    • +

      P3.09-10 - Circulating Cell-Free DNA (cfDNA) Molecular Profile of Thai NSCLC Patients Using Difference Variant Frequency of NGS (ID 13744)

      12:00 - 13:30  |  Author(s): Sarunporn Techasurungkul

      • Abstract
      • Slides

      Background

      Detecting cfDNA in the liquid biopsy has become a promising method to explore the genetic landscape of tumor heterogeneity. We developed a pilot-study to find the suitable cutoff of variant frequencies detected from liquid biopsy by NGS to track tumor-associated mutations in NSCLC patients.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      Ninety-four samples (24 early-stage NSCLC, 70 late-stage NSCLC) were collected from Ramathibodi Hospital, Thailand. Profiling cfDNA using Ion Proton NGS platform. Overall average base coverage depth from NGS was 10,000x, all variants selected have read depths >10x in order to reach 0.1% sensitivity. Each of selected variants has threshold variant quality (QUAL) >20. Droplet digital PCR (ddPCR) was performed for EGFR-mutation testing to determine the appropriated cutoff variant frequency from NGS.

      4c3880bb027f159e801041b1021e88e8 Result

      In early-stage NSCLC, a minimum-threshold variant frequencies at 0.1% could detect EGFR exon19 deletion in all samples (24,100%), with BRAF (12,50%), KRAS (21,87.5%) and other mutations in AKT1, MET, PIK3CA, PTEN, ROS1 (14,58%). None of these mutations identified when using conventional level cutoff at 3% (Table1). ddPCR observed EGFR-mutations in 2 early-stage cases only (8.3%). In late-stage NSCLC, 64 (91.4%) cases were observed multiple mutations, suggesting tumor heterogeneity. At 0.1% cutoff in NGS, Thirty-six (52.9%) cases of EGFR-mutations in NGS and ddPCR were identical. Thirteen (18.6%) samples shown partial discrepancies in the mutations. Interestingly, NGS found EGFR-mutations in 20 (28.6%) samples which ddPCR failed to detect, 12 of them contained T790M. Only one sample (1.4%) using 0.1% cutoff was unable to detect EGFR-mutation. Higher variant allele frequencies were found in EGFR-positive detected by ddPCR compared to not-detected by ddPCR.

      Table1
      Mutations detected variant allele frequencies detected from liquid biopsy by NGS at minimum threshold cut-off 0.1% variant allele frequencies detected from liquid biopsy by NGS at minimum threshold cut-off 0.1% variant allele frequencies detected from liquid biopsy by NGS at conventional level detection of somatic variants cut-off 3% variant allele frequencies detected from liquid biopsy by NGS at conventional level detection of somatic variants cut-off 3% variant allele frequencies detected from liquid biopsy by ddPCR (EGFR only) variant allele frequencies detected from liquid biopsy by ddPCR (EGFR only)
      N (%) median (range) N (%) median (range) N (%) median (range)
      BRAF (V600E) early stage total N=24 12 (50%) 0.8 (0.3-2.5) 0 (0%) 0 NA NA
      BRAF (V600E) late stage total N=70 11 (15.7%) 0.6 (0.1-1.1) 0 (0%) 0 NA NA
      KRAS early stage 21 (87.5%) 0.1 (0.1-0.5) 0 (0%) 0 NA NA
      KRAS late stage 50 (71.4%)

      0.2

      (0.1-13.6)

      3 (4.3%) 11.1 (5.8-14.3) NA NA
      AKT1 (E17K) early stage 7 (29.2%) 0.1 (0.1-0.7) 0 (0%) 0 NA NA
      AKT1 (E17K) late stage 12 (17.1%) 0.1 (0.1-0.7) 0 (0%) 0 NA NA
      MET exon 14 splicing early stage

      4 (16.7%)

      0.1 (0.1-0.1) 0 (0%) 0 NA NA
      MET exon 14 splicing late stage 3 (4.3%) 0.2 (0.2-0.2) 0 (0%) 0 NA NA
      PIK3CA early stage 9 (37.5%) 0.2 (0.1-0.8) 0 (0%) 0 NA NA
      PIK3CA late stage 19 (27.1%) 0.3 (0.1-0.7) 0 (0%) 0 NA NA
      PTEN (R233*) early stage 6 (25.0%) 0.1 (0.1-0.4) 0 (0%) 0 NA NA
      PTEN (R233*) late stage 11 (15.7%) 0.1 (0.1-0.2) 0 (0%) 0 NA NA

      ROS1

      early stage 0 (0%) 0 0 (0%) 0 NA NA

      ROS1

      late stage 4 (5.7%)

      0.55

      (0.1-0.7)

      0 (0%) 0 NA NA

      EGFR

      Exon 19 Deletion

      early stage 24 (100%)

      0.35

      (0.1-2.1)

      0 (0%) 0 1 (4.2%) 0.5 (0.5-0.5)

      EGFR

      Exon 19 Deletion

      late stage 25 (35.7%)

      0.6

      (0.1-49.0)

      6 (8.6%) 9.4 (4.5-49.5) 20 (28.6%) 0.65 (0-49.0)
      EGFR L858R early stage 5 (20.8%) 0.2 (0.1-0.5) 0 (0%) 0 0 (0%) 0
      EGFR L858R late stage 21 (30%) 1.4 (0.1-9.7) 4 (5.7%) 4.6 (4.4-6.4) 14 (20%) 1.8 (0.3-9.7)
      EGFR T790M early stage 8 (33.3%) 0.1 (0.1-0.2) 0 (0%) 0 0 (0%) 0
      EGFR T790M late stage 30 (42.9%) 0.1 (0.1-4.6) 2 (2.9%) 7.5 (5.3-9.7) 16 (22.9%) 0.15 (0-4.1)
      EGFR Exon18 (G719X) early stage 6 (25%) 0.2 (0.1-0.4) 0 (0%) 0 1 (4.2%) 0.4 (0.4-0.4)
      EGFR Exon18 (G719X) late stage 4 (5.7%)

      4.5

      (0.1-49.2)

      2 (2.9%)

      27.9

      (6.7-49.2)

      2 (2.9%) 25.6 (2-49.2)
      EGFR Exon 20 Insertion early stage 0 (0%) 0 0 (0%) 0 0 (0%) 0
      EGFR Exon 20 Insertion late stage 1 (1.4%)

      73.8

      (73.8-73.8)

      1 (1.4%)

      91.7

      (91.7-91.7)

      0 (0%) 0

      8eea62084ca7e541d918e823422bd82e Conclusion

      Detecting variant frequencies at 0.1% could reveal more hidden tumor-associated mutations compared to variant frequency cutoff at 3%. With a careful validation, profiling cfDNA using NGS can be a crucial method to accurately select treatment for NSCLC patients in the future.

      6f8b794f3246b0c1e1780bb4d4d5dc53

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.