Detection fidelity of AR mutations in plasma derived cell-free DNA

Alexa Goldstein1,2,3, Patricia Valda Toro1,2,3, Justin Lee2,3

  • 1The James Buchanan Brady Urological Institute, Department of Urology, Johns Hopkins School of Medicine, Baltimore, MD, USA.

Oncotarget
|February 3, 2017
PubMed

Insights

Detecting androgen receptor (AR) mutations in cell-free DNA (cfDNA) for prostate cancer resistance is challenging. Next-generation sequencing (NGS) can yield false positives for low-abundance AR mutations, requiring validation with methods like droplet digital PCR (ddPCR).

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Somatic genetic alterations in the androgen receptor (AR) are linked to treatment resistance in metastatic castration-resistant prostate cancer (mCRPC).
  • Plasma-derived cell-free DNA (cfDNA) is a valuable tool for genetic testing in mCRPC due to limitations of tissue biopsies.
  • Accurate detection of low-frequency AR mutations in cfDNA using next-generation sequencing (NGS) requires careful validation.

Purpose of the Study:

  • To determine the lower bound threshold for accurate AR mutation detection in cfDNA using NGS.
  • To investigate locus-specific variability in AR mutation detection sensitivity.
  • To validate NGS findings for AR mutations in mCRPC patients using droplet digital PCR (ddPCR).

Main Methods:

  • Next-generation sequencing (NGS) was employed for AR mutation discovery in plasma cfDNA from mCRPC patients.
  • Droplet digital PCR (ddPCR) was utilized for the validation of detected AR mutations.
  • Amplification conditions and polymerase fidelity were assessed for potential impact on mutation detection.

Main Results:

  • The AR (tTC>cTC) F877L hotspot was identified as prone to false positive mutations during NGS.
  • Variable error rates were observed at the AR (tTC>cTC) F877L locus during amplification prior to ddPCR, depending on the polymerase used.
  • Low-abundant AR mutations detected by NGS necessitate rigorous validation due to potential locus-specific variability and amplification biases.

Conclusions:

  • Validation of low-abundant mutations detected by NGS is crucial for accurate genetic testing in mCRPC.
  • Optimizing and controlling amplification conditions before ddPCR is essential to mitigate false positive results.
  • These findings underscore the importance of robust methodologies for cfDNA-based mutation detection in clinical oncology.

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