Pitfalls and Rewards of Setting Up a Liquid Biopsy Approach for the Detection of Driver Mutations in Circulating Tumor DNAs: Our Institutional Experience.
Michelle ChenDamon JianMaxim SidorovRinette W L WooAngela KimDavid E StoneAri NazarianMehdi NosratiRyan J IceDavid de SemirAltaf A DarRoman LuštrikJanez KokošarLuka AusecMichael C RowbothamGregory J TranahMohammed Kashani-SabetLiliana SoroceanuSean D McAllisterPierre-Yves DesprezPublished in: Journal of personalized medicine (2022)
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.
Keyphrases
- circulating tumor
- cell free
- papillary thyroid
- circulating tumor cells
- data analysis
- squamous cell
- end stage renal disease
- chronic kidney disease
- ejection fraction
- minimally invasive
- newly diagnosed
- young adults
- childhood cancer
- single molecule
- copy number
- risk factors
- coronary artery disease
- machine learning
- gene expression
- electronic health record
- patient reported outcomes
- peritoneal dialysis
- risk assessment
- case report
- fine needle aspiration
- acute coronary syndrome
- quantum dots
- human health
- genome wide identification
- patient reported