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Sensitivity, specificity, and accuracy of a liquid biopsy approach utilizing molecular amplification pools. | LitMetric

AI Article Synopsis

  • Circulating cell-free DNA (cfDNA) shows promise as a specific biomarker for managing lung cancer, and a new method called molecular amplification pools (MAPs) was used to analyze cfDNA in patients.
  • The study involved 356 lung cancer patients and found that MAPs sequencing had a high sensitivity of 98.5% and specificity of 98.9%, comparable to the established droplet digital PCR (ddPCR) method.
  • MAPs sequencing detected actionable mutations in 73% of samples and identified additional variants not found by ddPCR, which could improve patient treatment strategies.

Article Abstract

Circulating cell-free DNA (cfDNA) has the potential to be a specific biomarker for the therapeutic management of lung cancer patients. Here, a new sequencing error-reduction method based on molecular amplification pools (MAPs) was utilized to analyze cfDNA in lung cancer patients. We determined the accuracy of MAPs plasma sequencing with respect to droplet digital polymerase chain reaction assays (ddPCR), and tested whether actionable mutation discovery is improved by next-generation sequencing (NGS) in a clinical setting. This study reports data from 356 lung cancer patients receiving plasma testing as part of routine clinical management. Sequencing of cfDNA via MAPs had a sensitivity of 98.5% and specificity 98.9%. The ddPCR assay was used as the reference, since it is an established, accurate assay that can be performed contemporaneously on the same plasma sample. MAPs sequencing detected somatic variants in 261 of 356 samples (73%). Non-actionable clonal hematopoiesis-associated variants were identified via sequencing in 21% of samples. The accuracy of this cfDNA sequencing approach was similar to that of ddPCR assays in a clinical setting, down to an allele frequency of 0.1%. Due to broader coverage and high sensitivity for insertions and deletions, sequencing via MAPs afforded important detection of additional actionable mutations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144209PMC
http://dx.doi.org/10.1038/s41598-021-89592-8DOI Listing

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