Association between aberrant APC promoter methylation and breast cancer pathogenesis: a meta-analysis of 35 observational studies

What are the roles of global DNA and APC 2 gene promotor hypermethylation in multiple myeloma?

Background

In today's practice, gene-based approaches come to the fore in the determination of prognosis and treatment preferences of multiple myeloma (MM). DNA methylation is one of the new approach parameters. DNA methylation occurs by the addition of a methyl group to cytosines in CpG dinucleotides. In this study, besides comparing the global DNA and APC 2 gene promotor hypermethylation between our patients with MM and healthy control group, we aimed to demonstrate the effect of hypermethylation on MM treatment responses and survival.

Methods and results

38 patients diagnosed with MM between January 2016 and January 2020 and 50 healthy controls were included in the study. The initial hypermethylation of the patients and the healthy control group were statistically analyzed. In addition, the increase in hypermethylation in the MM group before and after the first series of treatments were analyzed within themselves. There is a significant difference between the patients with MM diagnosis and the healthy control group in terms of the initial global hypermethylation (P = 0.001). In patients with MM, hypermethylation was significantly higher. Global hypermethylation in the post-treatment measurements was significantly increased in comparison to the pre-treatment state (P = 0.012). In terms of APC 2 promotor gene-specific hypermethylation, no significant differences were detected between pre- and post-treatment values (P = 0.368).

Conclusions

This study represents valuable data with the initial global DNA hypermethylation results in the MM patient group and the increase in hypermethylation post-treatment. it will shed light on future studies.

Gene promoter methylation and cancer: An umbrella review

Gene promoter methylation is a common epigenetic event, taking place in the early phase of tumorigenesis, which has a great potential as a diagnostic and prognostic cancer biomarker. In this umbrella review, we provide an overview on the association between gene-promoter methylation of protein-coding genes and cancer risk based on currently available meta-analyses data on gene promoter methylation. We searched MEDLINE via PubMed and the Cochrane Database of Systematic Reviews for meta-analyses that examine the association between gene-promoter methylation and cancer, published until January 2019 in English. We used AMSTAR to assess the quality of the included studies and applied a set of pre-specified criteria to evaluate the magnitude of each association. We provide a comprehensive overview of 80 unique combinations between 22 different genes and 18 cancer outcomes, all of which indicated a positive association between promoter hypermethylation and cancer. In total, the 70 meta-analyses produced significant results under a random-effects model with odds ratios that ranged from 1.94 to 26.60, with the summary effect being in favor of the unmethylated group in all cases. Three of the strong evidence associations involve RASSF1 methylation on bladder cancer risk (OR = 18.46; 95% CI: 12.69-26.85; I2 = 0%), MGMT methylation on NSCLC (OR = 4.25; 95% CI: 2.83-6.38; I2 = 22.4%) and RARB methylation on prostate cancer (OR = 6.87; 95% CI: 4.68-10.08; I2 = 0%). Meta-analyses showed a moderate quality, AMSTAR score ranging from 4 to 9 (Mdn = 8; IQR: 7.0 to 8.0). As primary studies and meta-analyses on the subject accumulate, more genetic loci may be found to be highly associated with specific cancer types and hence the biomarker sets will become wider.

Is APC hypermethylation a diagnostic biomarker for bladder cancer? A meta-analysis

Objective

Numerous studies have been performed to investigate the association between APC promoter hypermethylation and bladder cancer risk. Nevertheless, the conclusion was uncertain due to small sample size, different ethnicities, and tumor subtype. Hence, to accurately assess the effect of APC promoter hypermethylation on the risk of bladder cancer, we performed the meta-analysis.

Materials and methods

We retrieved the relevant literatures from electronic databases such as PubMed, Web of Science, Wanfang, Vapp, and CNKI (Chinese National Knowledge Infrastructure). 95% CI and OR were calculated to evaluate the associations of APC promoter hypermethylation with risk and clinical features of bladder cancer. Heterogeneity among studies was assessed with Q test and I ² statistic. In addition, the diagnostic sensitivity, specificity, and area under the curve (AUC) value of APC hypermethylation for bladder cancer were calculated.

Results

In total, 14 articles with 531 controls and 1,293 cases were included to assess the associations of APC promoter hypermethylation with the risk and clinical characteristics of bladder cancer. The significant association between APC promoter hypermethylation and bladder cancer risk was detected (OR =17.01, CI =7.40-39.07). Furthermore, the results revealed that APC promoter hypermethylation was significantly correlated with the grade of bladder tumor (pTNM stage: OR =1.84, CI =0.87-3.93; grade: OR =4.11, CI =1.62-10.43). According to the results of diagnostic evaluation, the diagnostic sensitivity, specificity, and AUC value of APC hypermethylation for bladder cancer risk were 0.52 (95% CI =0.41-0.63), 0.98 (95% CI =0.90-1.00), and 0.80 (95% CI =0.76-0.83), respectively.

Conclusion

This meta-analysis revealed that APC promoter hypermethylation was a risk factor for bladder cancer risk. In addition, APC promoter hypermethylation was significantly associated with the grade of bladder cancer. APC hypermethylation might be a useful biomarker for the clinical diagnosis of bladder cancer.

High-frequency deregulated expression of Wnt signaling pathway members in breast carcinomas

Purpose

Breast carcinoma is the most common malignancy and leading cause of cancer-related deaths in women worldwide including Saudi Arabia. Breast cancer in Saudi women develops at a much early age with median age of onset of 49 years compared to 62 years observed in patients from USA. Aberrations in wingless and integration site growth factor (Wnt) signaling pathway have been pathologically implicated in development of breast cancers and hence its role was examined in Saudi patients.

Materials and methods

We immunohistochemically examined various components of Wnt signaling pathway including β-catenin, tumor suppressor proteins, adenomatous polyposis coli (APC), and Axin, expression of naturally occurring pathway antagonists such as Dickkopf Wnt signaling pathway inhibitor 3 (DKK3), FRP2, and WIF1, as well as Wnt target cyclin D1 and c-Myc to establish if the pathway is constitutively activated in breast cancers arising in Saudi women.

Results

Cytoplasmic β-catenin, indicative of activation of the pathway, was observed in 24% of cases. Expression of APC and Axin, which are components of β-catenin destruction complex, was lost in 5% and 10% of tumors, respectively. Additionally, Wnt signaling inhibitors DKK3, FRP2, and Wnt inhibitory factor 1 (WIF1) were not expressed in 8%, 14%, and 5% breast tumors, respectively. Overall, accumulation of cytoplasmic β-catenin and downregulation of other Wnt pathway proteins (APC/Axin/DKK3/FRP2/WIF1) were found in approximately half of the breast cancers (47%) in our cohort. Consistent with this, analysis of Wnt target genes demonstrated moderate-to-strong expression of c-Myc in 58% and cyclin D1 in 50% of breast cancers. Deregulation of Wnt pathway was not associated with age of onset of the disease, tumor grade, and triple-negative status of breast cancers.

Conclusions

High level of deregulated expression of Wnt pathway proteins suggests its important role in pathogenesis of breast cancers arising in Saudi women who may benefit from development of therapeutic drugs targeting this pathway.

Identification of Biomarkers for Breast Cancer Using Databases

Breast cancer is one of the major causes of cancer death in women. Many studies have sought to identify specific molecules involved in breast cancer and understand their characteristics. Many biomarkers which are easily measurable, dependable, and inexpensive, with a high sensitivity and specificity have been identified. The rapidly increasing technology development and availability of epigenetic informations play critical roles in cancer. The accumulated data have been collected, stored, and analyzed in various types of databases. It is important to acknowledge useful and available data and retrieve them from databases. Nowadays, many researches utilize the databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Surveillance, Epidemiology and End Results (SEER), and Embase, to find useful informations on biomarkers for breast cancer. This review summarizes the current databases which have been utilized for identification of biomarkers for breast cancer. The information provided by this review would be beneficial to seeking appropriate strategies for diagnosis and treatment of breast cancer.