Alterations in the patterns of DNA methylation are among the earliest and most common events in tumorigenesis. Epigenetic changes were shown to be detectable in DNA, circulating in blood (cirDNA) of cancer patients, indicating the resources to create the minimally invasive diagnostic tests based on tumor-specific DNA markers. RARβ2 methylation level was significantly increased in plasma cirDNA and cell surface-bound cirDNA (csb-cirDNA) from patients with non-small cell lung cancer compared with healthy individuals (7620 and 1083 copies/ml in the csb fractions, 3589 and 1068 copies/ml in the blood plasma; P=0.003 and 0.001). The cell-bound-to-cell-free RARβ2 methylation ratio was found to be elevated in patients with non-small cell lung cancer compared with control (2.12 and 1.01, respectively; P=0.023). RARβ2 methylation level in csb-cirDNA and plasma cirDNA was higher in stage III patients compared with stage I-II patients (P=0.02 and 0.03). In the subgroup of patients with squamous cell carcinoma, RARβ2 methylation level in the cbs-cirDNA was higher compared with patients with adenocarcinoma (P=0.04). Epigenetic alterations of tumor suppressor gene RARβ2 in the total cirDNA (plasma cirDNA and csb-cirDNA) were found to be associated with lung cancer progression. The data obtained indicate that cirDNA-based testing provides a valuable source for subsequent verification of methylated DNA markers for lung cancer diagnostics and prognosis.
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http://dx.doi.org/10.1097/CEJ.0b013e3283498eb4 | DOI Listing |
Ann Surg Oncol
January 2025
Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Sports Med Open
January 2025
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
Background: Marathon training and running have many beneficial effects on human health and physical fitness; however, they also pose risks. To date, no comprehensive review regarding both the benefits and risks of marathon running on different organ systems has been published.
Main Body: The aim of this review was to provide a comprehensive review of the benefits and risks of marathon training and racing on different organ systems.
Nat Commun
January 2025
European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, Netherlands.
While the effect of amplification-induced oncogene expression in cancer is known, the impact of copy-number gains on "bystander" genes is less understood. We create a comprehensive map of dosage compensation in cancer by integrating expression and copy number profiles from over 8000 tumors in The Cancer Genome Atlas and cell lines from the Cancer Cell Line Encyclopedia. Additionally, we analyze 17 cancer open reading frame screens to identify genes toxic to cancer cells when overexpressed.
View Article and Find Full Text PDFCell Death Discov
January 2025
Institute of Biopharmaceutical Sciences, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
TP53 mutations are recognized to correlate with a worse prognosis in individuals with non-small cell lung cancer (NSCLC). There exists an immediate necessity to pinpoint selective treatment for patients carrying TP53 mutations. Potential drugs were identified by comparing drug sensitivity differences, represented by the half-maximal inhibitory concentration (IC50), between TP53 mutant and wild-type NSCLC cell lines using database analysis.
View Article and Find Full Text PDFNat Commun
January 2025
Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA.
Recent barcoding technologies allow reconstructing lineage trees while capturing paired single-cell RNA-sequencing (scRNA-seq) data. Such datasets provide opportunities to compare gene expression memory maintenance through lineage branching and pinpoint critical genes in these processes. Here we develop Permutation, Optimization, and Representation learning based single Cell gene Expression and Lineage ANalysis (PORCELAN) to identify lineage-informative genes or subtrees where lineage and expression are tightly coupled.
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