Hypertension is a multifactorial disease due to a complex interaction among genetic, epigenetic, and environmental factors. Characterized by raised blood pressure (BP), it is responsible for more than 7 million deaths per annum by acting as a leading preventable risk factor for cardiovascular disease. Reports suggest that genetic factors are estimated to be involved in approximately 30 to 50% of BP variation, and epigenetic marks are known to contribute to the initiation of the disease by influencing gene expression. Consequently, elucidating the genetic and epigenetic mediators associated with hypertension is essential for better discernment of its pathophysiology. By deciphering the unprecedented molecular hypertension basis, it could help to unravel an individual’s inclination towards hypertension which eventually could result in an arrangement of potential strategies for prevention and therapy. In the present review, we discuss known genetic and epigenetic drivers that contributed to the hypertension development and summarize the novel variants that have currently been identified. The effect of these molecular alterations on endothelial function was also presented.

Sudarma V, et al. Pediatr Gastroenterol Hepatol Nutr. 2023 Sep;26(5):266-276. https://doi.org/10.5223/pghn.2023.26.5.266

Introduction: BRAFV600E and RAS mutations are the most common gene mutations in papillary thyroid carcinoma (PTC) that may be correlated with its biological behavior. There are still limited data about BRAFV600E and RAS mutations in Indonesia. This study aims to determine the prevalence of BRAFV600E and RAS mutations, and their association with clinicopathologic characteristics. Methods: Patients who had total thyroidectomy from 2019 to 2021 and those who met our study criteria underwent PCR and DNA sequencing analysis for BRAFV600E, BRAFK601E, exon 2 and 3 of NRAS, HRAS, and KRAS. Analyses were performed to determine the associations of BRAFV600E and RAS mutations with clinicopathologic characteristics. Results: Of 172 PTC patients, BRAFV600E mutation was observed in 37.8% of the patients and RAS mutations were found in 21.5%. One patient harbored BRAFK601E mutation. There was a significant association of BRAFV600E with a high-stage (p = 0.033, OR: 3.279; 95% CI: 1.048– 10.259), tall-cell variants (p ≤ 0.001, OR: 41.143; 95% CI: 11.979– 141.308), non-encapsulated (p = 0.001, OR: 4.176; 95% CI: 2.008– 8.685), lymphovascular invasion (p = 0.043, OR: 1.912; 95% CI: 1.018– 3.592), extrathyroidal extension (p = < 0.001, OR: 3.983; 95% CI: 1.970– 8.054), and lymph node metastasis (p = 0.009, OR: 2.301; 95% CI: 1.224– 4.326). Follicular variant (p = 0.001, OR: 7.011; 95% CI: 2.690– 18.268), encapsulated (p = 0.017, OR: 2.433; 95% CI: 1.161– 5.100), and absent of extrathyroidal extension (p = 0.033, OR: 2.890; 95% CI: 1.052– 7.940) were associated with RAS mutations. Conclusion: A significant association between BRAFV600E mutation and high clinical stage, tall-cell variants, non-encapsulated morphology, lymphovascular invasion, extrathyroidal extension, and lymph node metastasis in PTC was observed. RAS mutations were associated with the follicular variant, encapsulated tumor, and no extrathyroidal extension. HRAS-mutated PTC frequently exhibited tumor multifocality.

Introduction: Nasopharyngeal cancer (NPC) is a multifaceted disease characterized by genetic and epigenetic modifications. While Epstein–Barr virus (EBV) infection is a known risk factor, recent studies highlight the significant role of DNA methylation in NPC pathogenesis. Aberrant methylation, particularly at CpG sites, can silence tumour suppressor genes, promoting uncontrolled cell growth. This study aims to analyse the methylation patterns in Indonesian NPC patients through whole-epigenome sequencing. Methods: Seven clinical nasopharyngeal cancer samples were collected and confirmed histopathologically. DNA was extracted, sequenced using Oxford Nanopore technology, and aligned to the GRCh38 human reference genome. Methylation analysis was performed using modkit and statistical analysis with R software. Enriched pathways and processes were identified using ClusterProfiler in R, and gene overlap analysis was conducted. Results: The analysis identified both globally hypermethylated and hypomethylated NPC samples. Key tumour suppressor genes, such as PRKCB, PLCB3, ITGB3, EPHA2, PLCE1, PRKCD, CDKN2A, CDKN2B, RPS6KA2, ERBB4, LRRC4, AKT1, PPP2R5C, and STK11 were frequently hypermethylated and confirmed to have lower expression in an independent NPC transcriptome cohort, suggesting their role in NPC carcinogenesis. Enriched KEGG pathways included PI3K-Akt signalling, ECM–receptor interaction, and focal adhesion. The presence of EBV DNA was confirmed in all samples, implicating its role in influencing methylation patterns. Discussion: This study provides comprehensive insights into the epigenetic landscape of NPC, underscoring the role of CpG methylation in tumour suppressor gene silencing. These findings pave the way for targeted therapies and highlight the need for region-specific approaches in NPC management.

The Cancer Genome Atlas (TCGA) has classified papillary thyroid carcinoma (PTC) into indolent RAS-like and aggressive BRAF-like based on its distinct driver gene mutations. This retrospective study aimed to assess clinicopathology and pERK1/2 expression variations between BRAF-like and RAS-like PTCs and establish predictive models for BRAFV600E and RAS-mutated PTCs. A total of 222 PTCs underwent immunohistochemistry staining to assess pERK1/2 expression and Sanger sequencing to analyze the BRAF and RAS genes. Multivariate logistic regression was employed to develop prediction models. Independent predictors of the BRAFV600E mutation include a nuclear score of 3, the absence of capsules, an aggressive histology subtype, and pERK1/2 levels exceeding 10% (X² = 0.128, p > 0.05, AUC = 0.734, p < 0.001). The RAS mutation predictive model includes follicular histology subtype and pERK1/2 expression > 10% (X² = 0.174, p > 0.05, AUC = 0.8, p < 0.001). We propose using the prediction model concurrently with four potential combination group outcomes. PTC cases included in a combination of the low-BRAFV600E-scoring group and high-RAS-scoring group are categorized as RAS-like (adjOR = 4.857, p = 0.01, 95% CI = 1.470–16.049). PTCs included in a combination of the high-BRAFV600E-scoring group and low-RAS-scoring group are categorized as BRAF-like PTCs (adjOR = 3.091, p = 0.001, 95% CI = 1.594–5.995). The different prediction models indicate variations in biological behavior between BRAF-like and RAS-like PTCs.