Genomic approaches to cancer and minimal residual disease detection using circulating tumor DNA.
Nicholas P SemenkovichJeffrey J SzymanskiNoah EarlandPradeep S ChauhanBruna PelliniAadel A ChaudhuriPublished in: Journal for immunotherapy of cancer (2023)
Liquid biopsies using cell-free circulating tumor DNA (ctDNA) are being used frequently in both research and clinical settings. ctDNA can be used to identify actionable mutations to personalize systemic therapy, detect post-treatment minimal residual disease (MRD), and predict responses to immunotherapy. ctDNA can also be isolated from a range of different biofluids, with the possibility of detecting locoregional MRD with increased sensitivity if sampling more proximally than blood plasma. However, ctDNA detection remains challenging in early-stage and post-treatment MRD settings where ctDNA levels are minuscule giving a high risk for false negative results, which is balanced with the risk of false positive results from clonal hematopoiesis. To address these challenges, researchers have developed ever-more elegant approaches to lower the limit of detection (LOD) of ctDNA assays toward the part-per-million range and boost assay sensitivity and specificity by reducing sources of low-level technical and biological noise, and by harnessing specific genomic and epigenomic features of ctDNA. In this review, we highlight a range of modern assays for ctDNA analysis, including advancements made to improve the signal-to-noise ratio. We further highlight the challenge of detecting ultra-rare tumor-associated variants, overcoming which will improve the sensitivity of post-treatment MRD detection and open a new frontier of personalized adjuvant treatment decision-making.
Keyphrases
- circulating tumor
- cell free
- circulating tumor cells
- early stage
- decision making
- high throughput
- air pollution
- radiation therapy
- squamous cell carcinoma
- replacement therapy
- label free
- lymph node
- ionic liquid
- artificial intelligence
- deep learning
- papillary thyroid
- lymph node metastasis
- sensitive detection
- dna methylation