Introduction: Liquid biopsy is gaining momentum for diagnosis and surveillance of cancer patients. Indeed, head and neck squamous cell carcinoma (HNSCC) is burdened with poor prognosis and high recurrence rates after treatment. It is therefore crucial to be able to detect minimal residual disease early after radical treatment or relapse, so surgery can be performed when the disease is still resectable. In this scenario, aim of this study is to create a liquid biopsy-based pipeline able to detect somatic tumor mutations in a cohort of HNSCC-affected patients undergoing follow-up after surgical intervention.
Methods: Our cohort included 17 patients diagnosed with HNSCC over 4 years. The first saliva sample was collected before surgery while the rest were collected during the subsequent visits, according to the follow-up schedule. Salivary DNA (sDNA) was extracted, and a 52-gene next generation sequencing (NGS)-based panel was used for somatic variants detection.
Results: 41.2% of samples collected before surgery bore a deleterious variant (n=7/17). Overall, 29.2% of samples harbored at least a pathogenic variant (n=21/72). The most frequently mutated genes were TP53 (80%), FBXW7 (8%), PDGFRA (4%) and PTEN (4%). Finally, three patients experienced a loco-regional relapse by clinical evaluations, anticipated in 67% of cases by the molecular one (n=2/3).
Discussion: Our data indicate that sDNA could aid in the monitoring of patients' follow-up as low-frequency somatic mutations could be assessed from the saliva of HNSCC patients. Prospectively, these results suggest that salivary-based liquid biopsy might pave the way for personalized molecular therapies based on mutational data.
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http://dx.doi.org/10.3389/fonc.2024.1480302 | DOI Listing |
Mol Biol Evol
January 2025
Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
The study of mutational processes in somatic genomes has gained recent momentum, uncovering a wide array of endogenous and exogenous factors associated with somatic changes. However, the overall landscape of mutational processes in germline mutations across the tree of life and associated evolutionary driving forces are rather unclear. In this study, we analyzed mutational processes in single-stranded RNA (ssRNA) viruses which are known to jump between different hosts with divergent exogenous environments.
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View Article and Find Full Text PDFNat Methods
January 2025
Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
In vivo lineage tracing holds great potential to reveal fundamental principles of tissue development and homeostasis. However, current lineage tracing in humans relies on extremely rare somatic mutations, which has limited temporal resolution and lineage accuracy. Here, we developed a generic lineage-tracing tool based on frequent epimutations on DNA methylation, enabled by our computational method MethylTree.
View Article and Find Full Text PDFAnn Hematol
January 2025
Hematology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, 09121, Italy.
VEXAS syndrome is a complex hemato-inflammatory disorder, driven by somatic mutations in the UBA1 gene within hematopoietic precursor cells. It is characterized by systemic inflammation, rheumatological manifestations, and frequent association with myelodysplastic syndrome (MDS). We present a series of four VEXAS cases, all of which include concomitant MDS, each displaying distinct genetic signatures and clinical features at diagnosis, with a focus on their diagnostic and therapeutic implications.
View Article and Find Full Text PDFEpigenetics Chromatin
January 2025
Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
DNA methylation, catalyzed by DNA methyltransferases (DNMT), plays pivotal role in regulating embryonic development, gene expression, adaption to environmental stress, and maintaining genome integrity. DNMT family consists of DNMT1, DNMT3A, DNMT3B, and the enzymatically inactive DNMT3L. DNMT3A and DNMT3B establish novel methylation patterns maintained by DNMT1 during replication.
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