Quantification and dynamic monitoring of EGFR T790M in plasma cell-free DNA by digital PCR for prognosis of EGFR-TKI treatment in advanced NSCLC

PLoS One. 2014 Nov 18;9(11):e110780. doi: 10.1371/journal.pone.0110780. eCollection 2014.

Abstract

Background: Among advanced non-small cell lung cancer (NSCLC) patients with an acquired resistance to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKI), about 50% carry the T790M mutation, but this frequency in EGFR-TKI-naïve patients and dynamic change during therapy remains unclear. This study investigated the quantification and dynamic change of T790M mutation in plasma cell-free DNA (cf-DNA) of advanced NSCLC patients to assess the clinical outcomes of EGFR-TKI therapy.

Materials and methods: We retrospectively investigated 135 patients with advanced NSCLC who obtained progression-free survival (PFS) after EGFR-TKI for >6 months for their EGFR sensitive mutations and T790M mutation in matched pre- and post-TKI plasma samples, using denaturing high-performance liquid chromatography (DHPLC), amplification refractory mutation system (ARMS), and digital-PCR (D-PCR). Real-time PCR was performed to measure c-MET amplification.

Results: Detection limit of D-PCR in assessing the T790M mutation was approximately 0.03%. D-PCR identified higher frequency of T790M than ARMS in pre-TKI (31.3% vs. 5.5%) and post-TKI (43.0% vs. 25.2%) plasma samples. Patients with pre-TKI T790M showed inferior PFS (8.9 vs. 12.1 months, p = 0.007) and overall survival (OS, 19.3 vs. 31.9 months, p = 0.001) compared with those without T790M. In patients harboring EGFR sensitive mutation, high quantities of pre-TKI T790M predicted poorer PFS (p = 0.001) on EGFR-TKI than low ones. Moreover, patients who experienced increased quantity of T790M during EGFR-TKI treatment showed superior PFS and OS compared with those with decreased changes (p = 0.044 and p = 0.015, respectively).

Conclusion: Qualitative and quantitative T790M in plasma cf-DNA by D-PCR provided a non-invasive and sensitive assay to predict EGFR-TKI prognosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Antineoplastic Agents / pharmacology
  • Antineoplastic Agents / therapeutic use
  • Biomarkers, Tumor / blood*
  • Biomarkers, Tumor / genetics
  • Carcinoma, Non-Small-Cell Lung / blood*
  • Carcinoma, Non-Small-Cell Lung / drug therapy
  • Drug Resistance, Neoplasm / genetics
  • ErbB Receptors / antagonists & inhibitors
  • ErbB Receptors / blood*
  • ErbB Receptors / genetics
  • Female
  • Humans
  • Lung Neoplasms / blood*
  • Lung Neoplasms / drug therapy
  • Male
  • Middle Aged
  • Mutation, Missense
  • Prognosis
  • Protein Kinase Inhibitors / pharmacology
  • Protein Kinase Inhibitors / therapeutic use

Substances

  • Antineoplastic Agents
  • Biomarkers, Tumor
  • Protein Kinase Inhibitors
  • EGFR protein, human
  • ErbB Receptors

Grants and funding

This work was supported by the National Natural Science Foundation Distinguished Young Scholars (81025012); the National Natural Science Foundation Key Program (81330062); Education Ministry Innovative Research Team Program (IRT13003); Peking University-Tsinghua University Joint Center for Life Sciences Clinical Investigator; and Wujieping Medicine Foundation (320.6750.1361 and 320.6750.12192). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.