Cell-Free DNA for the Management of Classical Hodgkin Lymphoma.
Vincent CamusFabrice JardinPublished in: Pharmaceuticals (Basel, Switzerland) (2021)
Cell-free DNA (cfDNA) testing, is an emerging "liquid biopsy" tool for noninvasive lymphoma detection, and an increased amount of data are now available to use this technique with accuracy, especially in classical Hodgkin lymphoma (cHL). The advantages of cfDNA include simplicity of repeated blood sample acquisition over time; dynamic, noninvasive, and quantitative analysis; fast turnover time; reasonable cost; and established consistency with results from tumor genomic DNA. cfDNA analysis offers an easy method for genotyping the overall molecular landscape of pediatric and adult cHL and may help in cases of diagnostic difficulties between cHL and other lymphomas. cfDNA levels are correlated with clinical, prognostic, and metabolic features, and may serve as a therapeutic response evaluation tool and as a minimal residual disease (MRD) biomarker in complement to positron emission tomography (PET). Indeed, cfDNA real-time monitoring by fast high-throughput techniques enables the prompt detection of refractory disease or may help to address PET residual hypermetabolic situations during or at the end of treatment. The major recent works presented and described here demonstrated the clinically meaningful applicability of cfDNA testing in diagnostic and theranostic settings, but also in disease risk assessment, therapeutic molecular response, and monitoring of cHL treatments.
Keyphrases
- hodgkin lymphoma
- positron emission tomography
- computed tomography
- high throughput
- pet ct
- risk assessment
- pet imaging
- single molecule
- loop mediated isothermal amplification
- single cell
- label free
- gene expression
- bone mineral density
- electronic health record
- diffuse large b cell lymphoma
- heavy metals
- body composition
- machine learning
- photodynamic therapy
- big data
- circulating tumor
- artificial intelligence
- copy number
- cell free
- fluorescence imaging
- deep learning