Publications by authors named "H Dreau"
Purpose: Epstein-Barr virus (EBV)-positive Burkitt lymphoma (BL) affects children in sub-Saharan Africa, but diagnosis via tissue biopsy is challenging. We explored a liquid biopsy approach using targeted next-generation sequencing to detect the -immunoglobulin (-Ig) translocation and EBV DNA, assessing its potential for minimally invasive BL diagnosis.
Materials And Methods: The panel included targets for the characteristic -Ig translocation, mutations in intron 1 of , mutations in exon 2 of , and three EBV genes: EBV-encoded RNA (EBER)1, EBER2, and EBV nuclear antigen 2.
The analysis of circulating tumour DNA (ctDNA) through minimally invasive liquid biopsies is promising for early multi-cancer detection and monitoring minimal residual disease. Most existing methods focus on targeted deep sequencing, but few integrate multiple data modalities. Here, we develop a methodology for ctDNA detection using deep (80x) whole-genome TET-Assisted Pyridine Borane Sequencing (TAPS), a less destructive approach than bisulphite sequencing, which permits the simultaneous analysis of genomic and methylomic data.
View Article and Find Full Text PDFBackground: Malignant hypertension has not disappeared and remains the most severe form of hypertension. More than 100 years after its description, many points remain unanswered. Mechanisms, definitions, and optimal treatment are still controversial.
View Article and Find Full Text PDFRichter transformation (RT) represents an aggressive histological transformation from chronic lymphocytic leukaemia, most often to a large B cell lymphoma. It is characterised by chemo-resistance and subsequent short survival. Drug development has struggled over recent years in light of the aggressive kinetics of the disease, lack of pivotal registrational trials and relative rarity of the phenomenon.
View Article and Find Full Text PDFArticle Synopsis
- Whole genome sequencing (WGS) is being increasingly used to diagnose rare diseases, but traditional methods often have low diagnostic yields, typically 25-30%.
- In a study involving 122 rare disease patients and their relatives, a comprehensive bioinformatics approach led to a diagnostic yield of 35%, with 39% solved when including novel gene candidates.
- The study also identified several novel genes, expanded the phenotypic understanding of existing conditions, and resulted in critical changes to clinical diagnoses and treatments for some patients.