Background: Aberrant gene promoter methylation is a critical event in tumorigenesis. The aim of this study was to explore the promoter hypermethylation of p16 and DAPK1 during the progression of cervical precancerous lesions.
Methods: A series of 98 cervical neoplasms (72 cervical intraepithelial neoplasia and 26 cervical carcinomas) were evaluated. The promoter methylation status of p16 and DAPK1 was assessed from cervical scrapings by methylation-specific polymerase chain reaction.
Results: For p16, the frequency of promoter hypermethylation showed an increasing trend from normal to dysplastic to invasive squamous cancer specimens, and this increase reached statistical significance (P < 0.0001). However, there was no significant difference in the promoter methylation state of DAPK1 with regard to the various grades of cervical lesions (P = 0.077). Specifically, methylation of p16 was a frequent event in the cervical carcinoma samples, and these figures were statistically significant compared with the normal and cervical intraepithelial neoplasia I cases (P = 0.015 and P = 0.021, respectively).
Conclusions: These results imply that promoter hypermethylation of p16 occurs at an early stage of cervical neoplastic progression. This early event may play an initiating role in the malignant transformation of low-grade dysplasia into high-grade dysplasia and invasive carcinoma. We suggest that aberrant promoter methylation of p16 may serve as a useful biomarker during the follow-up of low-grade dysplasia.
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http://dx.doi.org/10.1097/IGC.0b013e31821091ea | DOI Listing |
Bioinform Biol Insights
January 2025
Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
While deep learning (DL) is used in patients' outcome predictions, the insufficiency of patient samples limits the accuracy. In this study, we investigated how transfer learning (TL) alleviates the small sample size problem. A 2-step TL framework was constructed for a difficult task: predicting the response of the drug temozolomide (TMZ) in glioblastoma (GBM) cell cultures.
View Article and Find Full Text PDFNat Commun
January 2025
Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, China.
Tigecycline is a last-resort antibiotic to treat complicated infections caused by multidrug-resistant pathogens, while the emergence of plasmid-mediated tet(X) family severely compromises its clinical efficacy. Novel antimicrobial strategies not limited to new antibiotics in pharmaceutical pipeline are urgently needed. Herein, we reveal the metabolic disparities between tet(X)-negative and -positive E.
View Article and Find Full Text PDFCell Mol Life Sci
January 2025
School of Basic Medical Sciences, Xinxiang Medical University, #601 Jinsui Road, Xinxiang, 453003, Henan, China.
Herpes simplex virus type I (HSV-1) infection is associated with lung injury; however, no specific treatment is currently available. In this study, we found a significant negative correlation between FcRn levels and the severity of HSV-1-induced lung injury. HSV-1 infection increases the methylation of the FcRn promoter, which suppresses FcRn expression by upregulating DNMT3b expression.
View Article and Find Full Text PDFNeurooncol Adv
December 2024
Odette Cancer Centre, Department of Medicine, University of Toronto, Toronto, Canada.
Background: The majority of patients diagnosed with glioblastoma are >60 years. Three randomized trials addressed the roles of radiotherapy (RT) and temozolomide (TMZ) for elderly patients. NORDIC and NOA-08 compared RT versus TMZ, while CE.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Radiology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Objectives: To comprehensively and noninvasively predict glioma grade, IDH mutation status, 1p/19q codeletion status, and MGMT promoter methylation status using chemical exchange saturation transfer (CEST)-based tumor pH assessment and metabolic profiling.
Methods: We analyzed 128 patients with pathologically confirmed adult diffuse glioma. CEST-derived metrics based on tumor regions were obtained using five-pool Lorentzian analysis and pH_weighted analysis.
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