Background/aim: Differentiated vulvar intraepithelial neoplasia (dVIN) and lichen sclerosus (LS) can give rise to vulvar squamous cell carcinoma (VSCC), but genetic evidence is currently still limited. We aimed to determine genetic abnormalities in VSCC and backtrack these abnormalities in the dVIN and LS lesions.
Materials And Methods: DNA from VSCC and patient-matched dVIN and LS samples of twelve patients was collected. High-resolution genome-wide copy number analysis was performed and subsequently, we sequenced TP53.
Results: Copy number alterations were identified in all VSCC samples. One dVIN lesion presented with three copy number alterations that were preserved in the paired VSCC sample. Targeted sequencing of TP53 identified mutations in five VSCCs. All five mutations were traced back in the dVIN (n=5) or the LS (n=1) with frequencies ranging from 3-19%.
Conclusion: Our data provide genetic evidence for a clonal relationship between VSCC and dVIN or LS.
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http://dx.doi.org/10.21873/cgp.20175 | DOI Listing |
BMC Cardiovasc Disord
December 2024
Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
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December 2024
Translational Oncogenomics and Bioinformatics Lab, Center for Medical Biotechnology, VIB-UGent & CRIG, Technologiepark-Zwijnaarde 75, 9052, Ghent, Belgium.
Esophageal adenocarcinoma (EAC) is an aggressive cancer characterized by a high risk of relapse post-surgery. Current follow-up methods (serum carcinoembryonic antigen detection and PET-CT) lack sensitivity and reliability, necessitating a novel approach. Analyzing cell-free DNA (cfDNA) from blood plasma emerges as a promising avenue.
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December 2024
Clinical Teaching Hospital of Medical School, Nanjing Children's Hospital, Nanjing University, Nanjing, 210008, China.
Gastric cancer (GC) is characterized by notable heterogeneity and the impact of molecular subtypes on treatment and prognosis. The role of programmed cell death (PCD) in cellular processes is critical, yet its specific function in GC is underexplored. This study applied multiomics approaches, integrating transcriptomic, epigenetic, and somatic mutation data, with consensus clustering algorithms to classify GC molecular subtypes and assess their biological and immunological features.
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Division of Surgical Oncology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
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Department of Medicine, Division of Medical Oncology, School of Medicine, Showa University, Tokyo, Japan;
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