Aim: To study the role of CDH1/E-cadherin (E-cad) gene alteration profiles including mutation, loss of heterozygosity (LOH), promoter polymorphism and hypermethylation in mechanisms of CDH1 inactivation in gastric carcinoma (GC).
Methods: Specimens were collected surgically from 70 patients with GC. Allelotyping PCR and detection of LOH, denaturing high pressure liquid chromatography and DNA sequencing, restriction fragment length polymorphism analysis, methylation specific PCR, and immunohistochemical staining were used.
Results: Promoter polymorphism was not a major mechanism of E-cad inactivation. Only one truncating mutation was found in a diffuse type tumor (3%). Both LOH and promoter hypermethylation were major mechanisms of E-cad inactivation, but interestingly, there was a negative association between the fraction of allelic loss (LOH) in tumors and hypermethylation of CDH1. Therefore LOH and hypermethylation were two different tumorigenic pathways involved in GC.
Conclusion: Given the findings that somatic mutation was extremely low and the relationship between LOH and hypermethylation was inverse, any two combinations of these three factors cannot fulfill the classical two-hit hypothesis of CDH1 inactivation. Thus, other mechanisms operating at the transcriptional level or at the post-translational level might be required to induce E-cadherin inactivation.
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http://dx.doi.org/10.3748/wjg.v12.i14.2168 | DOI Listing |
Hepatology
November 2024
School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
NAR Cancer
September 2024
Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
In ovarian and breast cancer, promoter methylation of or is a promising biomarker for PARP inhibitor response, as high levels lead to homologous recombination deficiency (HRD). Yet the extent and role of such methylation in other cancers is not clear. This study comprehensively investigated promoter methylation of eight homologous recombination repair genes across 23 solid cancer types.
View Article and Find Full Text PDFbioRxiv
April 2024
Department of Ecology and Evolution and Marine Biology, Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara.
The mechanisms of X chromosome inactivation suggest fundamental epigenetic differences between the female and male X chromosomes. However, DNA methylation studies often exclude the X chromosomes. In addition, many previous studies relied on techniques that examine non-randomly selected subsets of positions such as array-based methods, rather than assessing the whole X chromosome.
View Article and Find Full Text PDFNeuropathology
October 2024
Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Since the World Health Organization (WHO) 2016 revision, the number of molecular markers required for diffuse gliomas has increased, placing a burden on clinical practice. We have established an in-house, molecular diagnostic platform using Senshin-Iryo, a feature of Japan's unique healthcare system, and partially modified the analysis method in accordance with the WHO 2021 revision. Herein, we review over a total 5 years of achievements using this platform.
View Article and Find Full Text PDFExp Gerontol
March 2024
James P. Wilmot Cancer Institute, Rochester, NY, USA; Division of Supportive Care in Cancer, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA. Electronic address:
Tumor necrosis factor (TNF)α is a major regulator of inflammation. However, the epigenetic regulation of TNFα in the context of an exercise intervention among older adults with cancer is understudied. In this exploratory analysis, we used data from a single-arm mobile health (mHealth) exercise intervention among older adults with myeloid malignancies to 1) assess changes in TNFα promoter methylation, TNFα mRNA expression, serum TNFα and other related-cytokine levels after intervention; and 2) assess correlations between blood markers and exercise levels.
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