Journal of Personalized Medicine (Nov 2022)

Pitfalls and Rewards of Setting Up a Liquid Biopsy Approach for the Detection of Driver Mutations in Circulating Tumor DNAs: Our Institutional Experience

  • Michelle Chen,
  • Damon Jian,
  • Maxim Sidorov,
  • Rinette W. L. Woo,
  • Angela Kim,
  • David E. Stone,
  • Ari Nazarian,
  • Mehdi Nosrati,
  • Ryan J. Ice,
  • David de Semir,
  • Altaf A. Dar,
  • Roman Luštrik,
  • Janez Kokošar,
  • Luka Ausec,
  • Michael C. Rowbotham,
  • Gregory J. Tranah,
  • Mohammed Kashani-Sabet,
  • Liliana Soroceanu,
  • Sean D. McAllister,
  • Pierre-Yves Desprez

DOI
https://doi.org/10.3390/jpm12111845
Journal volume & issue
Vol. 12, no. 11
p. 1845

Abstract

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We describe our institutional experience of developing a liquid biopsy approach using circulating tumor DNA (ctDNA) analysis for personalized medicine in cancer patients, focusing on the hurdles encountered during the multistep process in order to benefit other investigators wishing to set up this type of study in their institution. Blood samples were collected at the time of cancer surgery from 209 patients with one of nine different cancer types. Extracted tumor DNA and circulating cell-free DNA were sequenced using cancer-specific panels and the Illumina MiSeq machine. Almost half of the pairs investigated were uninformative, mostly because there was no trackable pathogenic mutation detected in the original tumor. The pairs with interpretable data corresponded to 107 patients. Analysis of 48 gene sequences common to both panels was performed and revealed that about 40% of these pairs contained at least one driver mutation detected in the DNA extracted from plasma. Here, we describe the choice of our overall approach, the selection of the cancer panels, and the difficulties encountered during the multistep process, including the use of several tumor types and in the data analysis. We also describe some case reports using longitudinal samples, illustrating the potential advantages and rewards in performing ctDNA sequencing to monitor tumor burden or guide treatment for cancer patients.

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