| Literature DB >> 31897843 |
Ruben Van Paemel1,2,3, Roos Vlug3, Katleen De Preter1,2, Nadine Van Roy1,2, Frank Speleman1,2, Leen Willems3, Tim Lammens2,3, Geneviève Laureys2,3, Gudrun Schleiermacher4,5,6, Godelieve A M Tytgat7, Kathy Astrahantseff8, Hedwig Deubzer8,9,10, Bram De Wilde11,12,13.
Abstract
Cell-free DNA profiling using patient blood is emerging as a non-invasive complementary technique for cancer genomic characterization. Since these liquid biopsies will soon be integrated into clinical trial protocols for pediatric cancer treatment, clinicians should be informed about potential applications and advantages but also weaknesses and potential pitfalls. Small retrospective studies comparing genetic alterations detected in liquid biopsies with tumor biopsies for pediatric solid tumor types are encouraging. Molecular detection of tumor markers in cell-free DNA could be used for earlier therapy response monitoring and residual disease detection as well as enabling detection of pathognomonic and therapeutically relevant genomic alterations.Entities:
Keywords: Cell-free DNA profiling; Liquid biopsies; Pediatric solid tumors
Mesh:
Year: 2020 PMID: 31897843 PMCID: PMC6971142 DOI: 10.1007/s00431-019-03545-y
Source DB: PubMed Journal: Eur J Pediatr ISSN: 0340-6199 Impact factor: 3.183
Fig. 1The optimal technique for cell-free DNA (cfDNA) analysis is chosen depending on the clinical question at hand. Commonly used techniques are digital PCR (dPCR) and massively parallel, or “next-generation,” sequencing. Digital PCR (panel a), with its unmatched sensitivity, is suited for monitoring known (hotspot) mutations, can be used to detect amplifications or losses of one or two pre-specified genomic regions and to detect pre-defined sites of genomic fusion. Massive parallel sequencing (panel b) is useful to detect all types of genomic alterations, depending on the sequencing strategy used. It can evaluate single nucleotide variants (SNVs), copy number aberrations (CNA), genomic fusions or a combination thereof. Whole-genome sequencing (WGS) results in uniform coverage across the entire genome. When performed at low coverage, the technique is termed shallow WGS, and is a cost-effective method to detect CNAs. Performed at higher coverage, the detailed analysis of mutations or translocations on a genome-wide scale is feasible. Whole-exome sequencing (WES) focuses the sequencing effort on the coding regions of the genome, but non-coding or structural variation is largely missed. Targeted sequencing will result in extremely high coverage over a small proportion of the genome, allowing the detection of variants in that specific region with high sensitivity. PCR, polymerase chain reaction. CTC, circulating tumor cells
Fig. 2Comparison for a theoretical patient with neuroblastoma: the course under current care protocols (top panel) of a patient with neuroblastoma and the projected course after the routine implementation of liquid biopsy diagnostics (bottom panel). Current treatment protocols evaluate the primary tumor only at diagnosis and relapse. A subclone harboring an ALK mutation is able to remain undetected until overt clinical relapse and is able to develop resistant to therapy. The tumor burden can be monitored more continuously using liquid biopsies. The subclone harboring the ALK mutation could be detected earlier, and treatment with an ALK inhibitor initiated without first observing a clinical overt relapse. Earlier treatment could possibly prevent a resistant subclone from expanding, thus, potentially improving outcome for the patient
Overview of proof-of-concept studies of liquid biopsies involving pediatric oncology patients
| Author | Tumor entity | Number of pediatric patients | Technique | Biomaterial | Method | Clinical application |
|---|---|---|---|---|---|---|
| Chicard [ | Neuroblastoma | 70 | OncoScan Array (Affymetrix) | Plasma | CNA profiling | Therapeutic and risk stratification |
| Van Roy [ | Neuroblastoma | 37 | sWGS | Plasma | CNA profiling | Therapeutic and risk stratification |
| Combaret [ | Neuroblastoma | 114 | ddPCR | Plasma | Diagnostic and therapeutic stratification | |
| Combaret [ | Neuroblastoma | 102 | PCR | Plasma, serum | Diagnostic and therapeutic stratification | |
| Lodrini [ | Neuroblastoma | 10 | ddPCR | Plasma | Diagnosis and therapeutic stratification, Monitoring disease progression | |
| Chicard [ | Neuroblastoma | 19 | WES, ands targeted resequencing | Plasma | SNV and CNA profiling at different timepoints | Identifying treatment-resistant clones, Longitudinal follow-up |
| Jimenez [ | Renal tumors | 18 | WES | Plasma | Somatic SNV and CNA profiling at diagnosis | Improved molecular diagnosis |
| Ueno-Yokohata [ | Clear cell sarcoma of the kidney | 4 | PCR | Plasma | Detection of internal tandem duplication of | Improved molecular diagnosis |
| Krumbholz [ | Ewing sarcoma | 20 | ddPCR | Plasma | Therapy monitoring | |
| Shukla [ | Ewing sarcoma, Desmoplastic small round cell tumor | 7 | ddPCR, Targeted resequencing | Plasma | Disease monitoring | |
| Hayashi [ | Ewing sarcoma | 3 | ddPCR | Plasma | Therapy monitoring | |
| Barris [ | Osteosarcoma | 4 | Targeted resequencing | Plasma | Patient-specific alterations in 7 genes | Disease monitoring |
| Mussolin [ | Hodgkin and NHL | 201 | qPCR | Plasma | Presence of cell free DNA | Improved diagnostics |
| Machado [ | B-NHL | 30 | qPCR | Plasma | Total cell-free and EBV virus DNA quantification | Disease detection and treatment, response monitoring |
| Bruscaggin [ | Hodgkin lymphoma | 44 | CAPP-Seq | Plasma | Genotyping of newly diagnosed and refractory HL | Disease monitoring |
| Primerano [ | Hodgkin lymphoma | 155 | qPCR | Plasma | Cell-free DNA quantification | Disease detection and treatment Response monitoring |
| Berry [ | Retinoblastoma | 6 | sWGS, Sanger | Vitreous fluid | CNA profiling, RB1 mutation detection | Surrogate for tumor biopsy after salvage therapy |
| Berry [ | Retinoblastoma | 26 | sWGS | Vitreous fluid | CNA profiling | Therapy response monitoring |
| Huang [ | Diffuse midline gliomas | 11 | Nested PCR, Sanger | CSF | Histone H3 gene mutation in CSF | Alternative or complementary to tissue diagnosis |
| Martinez-Ricarte [ | Gliomas | 2 | Targeted sequencing, ddPCR | CSF | Detection of | Facilitating diagnosis of diffuse gliomas |
| Paret [ | HGNET-BCOR | 1 | Patient-specific PCR + Sanger | Plasma | Follow-up of a BCOR internal tandem duplication | Personalized treatment and therapy monitoring |
| Klega [ | Osteosarcoma, neuroblastoma, alveolar rhabdomyosarcoma, Wilms tumor | 45 | sWGS | Plasma | CNA and translocation characterization | Disease detection, Risk stratification, Treatment response monitoring |
| Weaver [ | Gliomas | 10 | Methylation-specific PCR | Plasma | Promoter methylation detection | Disease monitoring |
CSF, cerebrospinal fluid; HGNET-BCOR, high-grade neuroepithelial tumor of the central nervous system with BCOR alteration; PCR, polymerase chain reaction; SNV, single-nucleotide variant; WES, whole-exome sequencing; qPCR, quantitative PCR; ddPCR, droplet digital PCR: CNA, copy number alterations; NHL, non-Hodgkin lymphoma; EBV, Epstein-Barr virus; sWGS, shallow whole-genome sequencing; SV, structural variant
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