Background The lack of effective biomarkers for the screening and early detection of ovarian cancer (OC) is one of the most pressing problems in oncogynecology. Because epigenetic alterations occur early in the cancer development, they provide great potential to serve as such biomarkers. In our study, we investigated a potential of a four-gene methylation panel (including CDH13, HNF1B, PCDH17 and GATA4 genes) for the early detection of high-grade serous ovarian carcinoma (HGSOC). Methods For methylation detection we used methylation sensitive high-resolution melting analysis and real-time methylation specific analysis. We also investigated the relation between gene hypermethylation and gene relative expression using the 2-ΔΔCt method. Results The sensitivity of the examined panel reached 88.5%. We were able to detect methylation in 85.7% (12/14) of early stage tumors and in 89.4% (42/47) of late stage tumors. The total efficiency of the panel was 94.4% and negative predictive value reached 90.0%. The specificity and positive predictive value achieved 100% rates. Our results showed lower gene expression in the tumor samples in comparison to control samples. The more pronounced downregulation was measured in the group of samples with detected methylation. Conclusions In our study we designed the four-gene panel for HGSOC detection in ovarian tissue with 100% specificity and sensitivity of 88.5%. The next challenge is translation of the findings to the less invasive source for biomarker examination, such as plasma. Our results indicate that combination of examined genes deserve consideration for further testing in clinical molecular diagnosis of HGSOC.
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http://dx.doi.org/10.1515/cclm-2019-1319 | DOI Listing |
Transl Cancer Res
December 2024
Department of Anorectal Surgery, the Second Hospital of Tianjin Medical University, Tianjin, China.
Background: Early detection for colorectal cancer (CRC) can enhance the patient prognosis. We aimed to validate the combined multi-gene detection in plasma of , , , and for early diagnosing of CRC in this prospective study.
Methods: Overall, 124 participants including 45 CRC patients, 8 advanced adenoma patients, 34 small polyp patients, and 37 normal controls who underwent colonoscopy were enrolled.
Mol Metab
December 2024
Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; Section of Integrative Physiology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden. Electronic address:
Objectives: Environmental factors such as physical activity induce epigenetic modifications, with exercise-responsive DNA methylation changes occurring in skeletal muscle. To determine the skeletal muscle DNA methylation signature of endurance swim training, we used whole-genome methylated DNA immunoprecipitation (MeDIP) sequencing.
Methods: We utilized endurance-trained rats, cultured L6 myotubes, and human skeletal muscle cells, employing MeDIP sequencing, gene silencing, and palmitate oxidation assays.
Front Mol Biosci
October 2024
The School of Clinical Medical, Fujian Medical University, Fuzhou, Fujian, China.
Background And Aims: This study aimed to develop a prognostic model based on DNA methylation-driven genes for patients with early-stage gastric cancer and to examine immune infiltration and function across varying risk levels.
Methods: We analyzed data from stage I/II gastric cancer patients in The Cancer Genome Atlas which included clinical details, mRNA expression profiles, and level 3 DNA methylation array data. Using the empirical Bayes method of the limma package, we identified differentially expressed genes (DEGs), and the MethylMix package facilitated the identification of DNA methylation-driven genes (DMGs).
Comput Biol Chem
December 2024
Department of Biotechnology, Faculty of Life Sciences, University of Okara, Okara, Punjab 56300, Pakistan. Electronic address:
Nicotine Tob Res
September 2024
School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Introduction: Cigarette smoking greatly promotes the progression and poor prognosis of colorectal cancer (CRC) patients, with the molecular mechanism still not fully clear.
Methods: In this study, CRC cells were exposed to tobacco-specific nitrosamine 4‑(methylnitrosamino)‑1‑(3‑pyridyl)-1‑butanone (NNK), and the differentially expressed smoking-related genes were identified based on both NNK-induced CRC cells and a total of 763 CRC tissues from The Cancer Genome Atlas cohort. Cox regression analysis, receiver operating characteristic curve and Kaplan-Meier plot were used to establish the risk score model for CRC prognosis.
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