NIH, National Cancer Institute, Division of Cancer Treatment and Diagnosis (DCTD) NIH - National Institutes of Health National Cancer Institute DCTD - Division of Cancer Treatment and Diagnosis

Detection of EGFR mutations in non-small cell lung cancer by droplet digital PCR.

Author(s): Williamson DFK, Marris SRN, Rojas-Rudilla V, Bruce JL, Paweletz CP, Oxnard GR, Sholl LM, Dong F

Publication: PLoS One, 2022, Vol. 17, Page e0264201

PubMed ID: 35202431 PubMed Review Paper? No

Purpose of Paper

The purpose of this paper was to evaluate the sensitivity of a plasma droplet digital PCR (ddPCR) assay for the detection of epidermal growth factor receptor (EGFR) mutations in lung cancer patients by comparing to next generation sequencing (NGS) of formalin-fixed paraffin-embedded (FFPE) tumor specimens from the same patients.   Potential differences in ddPCR assay sensitivity among different cancer stages and undergoing treatments were also investigated. The authors also characterized the linearity of the ddPCR assay and the limit of detection using commercial DNA.

Conclusion of Paper

Using commercial DNA with different concentrations and variant allele frequencies (VAF), the authors report that, overall, DNA concentration determined by the ddPCR assay was linear with DNA input amount. While the number of mutations detected by ddPCR increased linearly with input amount when the VAF was low (≤10%), the proportion of mutations detected decreased when input concentration exceeded the optimal loading concentration. While 5 of 10 reactions using wild-type specimens had a single false positive event for L858R, there were no false positives for the exon 19 deletion assay; based on this, the authors decided on a threshold of ≥3 events in duplicate reactions and determined the limit of detection for each VAF-based on DNA input.

EGFR mutational status was 100% concordant for the 20 tumor specimens evaluated by both NGS and ddPCR assays. Of the 183 patients for whom a plasma and tumor specimen were available, 92 had an EGFR mutation identified by NGS in the tumor specimen; of these, only 49 also had a mutation identified by ddPCR using the plasma specimen based on the criteria for detection. No additional EGFR mutations were identified in plasma specimens. The overall clinical sensitivity of the ddPCR assay in plasma for EGFR mutational status was 53% based on NGS results of the tissue specimen. The sensitivity of the ddPCR plasma assay was higher for patients with stage IV cancer than those with stage I-II cancer (59% versus 17%) and for patients that were not undergoing treatment (70%) compared to those receiving tyrosine kinase inhibitors (44%) or any systemic therapy (including tyrosine kinase inhibitors) (37%). The authors also note that the ddPCR assay had a faster turnaround time then the NGS assay.

Studies

  1. Study Purpose

    The purpose of this study was to evaluate the sensitivity of a plasma ddPCR assay for the detection of EGFR mutations from lung cancer patients by comparing to next generation sequencing results using FFPE tumor specimens from the same patients. The authors also investigated if the sensitivity differed among patients with different stage cancer or undergoing treatment. The authors also characterized the linearity of the assay and limit of detection using commercial DNA. This study utilized case-matched plasma specimens and FFPE tumor specimens from 183 patients with lung cancer.  No further details of specimen procurement and processing were provided. DNA was extracted from plasma using the QIAamp Circulating Nucleic Acid Kit and mutational status was determined by ddPCR. DNA was extracted from tumor enriched areas of ten 4 µm-thick sections of each FFPE specimen using the QIAamp DNA mini kit and mutational status was evaluated using the OncoPanel NGS assay. To investigate the concordance between the two assay types, DNA from twenty FFPE specimens was also assayed using the ddPCR assay. The linearity of the EGFR ddPCR assays was investigated using commercial DNA with a EGFR L858R, exon 19 deletion and wild type EGFR DNA at different total DNA concentrations and VAF.

    Summary of Findings:

    ddPCR measured DNA concentration was linear with DNA input for both the L858R and exon 19 deletion assays. As expected, as DNA concentration increased the number of mutations detected per droplet increased in a linear fashion when the VAF was low (≤10%); however, the proportion of mutations detected decreased when concentration exceeded the optimal loading concentration. While 5 of 10 reactions using wild-type specimens had a single false positive event for L858R, none had more than one false positive event, and the per droplet false positive rate was 0.003% for the L858R mutation. Based on this, the authors decided on a threshold of ≥3 events in duplicate reactions for L858R mutation positivity. The limit of detection for xxx was a VAF of 0.01% with 250 ng input, 0.1% with 125 ng or 62.5ng input, and 1% with 31.25 or 15.625 ng input. Importantly, VAF was very strongly correlated with DNA input (R2=0.986) when VAF was above the established limit of detection. No false positives were identified for the EGFR exon 19 deletion.  The limit of detection for the EGFR exon 19 deletion was a VAF of 0.1% with 62.5-250 ng input and 1% with 31.25-15.625 ng input. The VAF was very strongly correlated with DNA input when VAF was above the established limit of detection (R2=0.998).

     

    EGFR mutational status was 100% concordant between the two assays for the 20 tumor specimens analyzed  by both NGS and ddPCR. Of the 183 patients for whom a plasma and tumor specimen were available, 92 had an EGFR mutation identified by NGS in the tumor specimen, of these, only 49 had a mutation identified by ddPCR in the plasma specimen. However, four additional plasma specimens tested positive for the mutation but below the threshold of detection. No mutations were identified in the plasma specimen but not in the tissue specimen. The overall clinical sensitivity of the ddPCR assay in plasma for the EGFR mutational status of the tissue specimen by NGS was 53%. The sensitivity was 59% for patients with stage IV disease, but only 17% for patients with stage I or II cancer. The sensitivity was also higher in patients that were not undergoing treatment (71%), compared to those receiving tyrosine kinase inhibitors (44%) or any systemic therapy (including tyrosine kinase inhibitors) (37%). The authors also noted that the ddPCR assay had a faster turnaround time then the NGS assay.

    Biospecimens
    Preservative Types
    • Formalin
    • None (Fresh)
    Diagnoses:
    • Neoplastic - Carcinoma
    Platform:
    AnalyteTechnology Platform
    DNA Next generation sequencing
    DNA Digital PCR
    Pre-analytical Factors:
    ClassificationPre-analytical FactorValue(s)
    Preaquisition Prognostic factor Stage I-II
    Stage IV
    Preaquisition Other drugs Not undergoing treatment
    Tyrosine kinase inhibitors
    Systemic therapy including tyrosine kinase inhibitors
    Digital PCR Specific Targeted nucleic acid EGFR L858R
    EGFR Exon 19 del
    EGFR wildtype
    Digital PCR Specific Template/input amount 250 ng
    125 ng
    62.5 ng
    31.25 ng
    15.625 ng
    Digital PCR Specific Technology platform NGS
    Biospecimen Acquisition Biospecimen location Lung tumor
    Plasma

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