Meta-Analysis of miRNAs and Their Involvement as Biomarkers in Oral Cancers

Effect of CDH1 and CDH2 genes polymorphisms in oral squamous cell carcinoma susceptibility in a sample of Iranian population: A case-control study

Background and Aims

Oral squamous cell carcinoma (OSCC) is a global malignant epithelial neoplasm affecting the oral cavity. Cadherins, as an adhesion molecule, are involved in cell-cell interaction. We aim to study the effect of two cadherin polymorphisms on OSCC risk in southeast of Iran.

Methods

In this case-control study, 94 individuals (47 OSCC cases and 47 controls), that referred to the Department of Oral Pathology, Faculty of Dentistry, Zahedan University of Medical Sciences, Iran were included. Cadherin single nucleotide polymorphisms CDH1 (rs16260) and CDH2 (rs11564299) were genotyped by the tetra-Amplification Refractory Mutation System-PCR technique.

Results

N-cadherin genotyping showed that the AA, AG, and AG + GG were presented 78.7%, 17%, 21.3% versus 66%, 29.7%, 34% in the cases and the control group, respectively. AG genotype was more common in control than case (OR = 0.47, 95% CI: 0.17-1.29, p = 0.14). G allele was more prevalent in control (19.1%) than the case group (12.8%) (OR = 0.61, 95% CI: 0.27-1.36, p = 0.23). In E-cadherin, AC, AA, and AC + AA genotypes frequency were 17%, 12.8%, and 29.8% in case versus 8.5%, 8.5%, and 17% in the control group. Allele A was more common in the case than the control group (OR = 1.84, 95% CI: 0.84-4.03, p = 0.12). Also, AA and CC, the codominant genotypes were common in CDH2 and CDH1 respectively in all histopathological grades, and no statically significant association was observed between OSCC different histopathological grades and cadherin genotypes (p = 0.39 in N-cadherin, p = 0.74 in E-cadherin).

Conclusion

Our results showed a lack of association between CDH1 and CDH2 gene polymorphisms with OSCC risk in a population of Southeastern of Iran.

Evaluation of the Expression of miR-486-3p, miR-548-3p, miR-561-5p and miR-509-5p in Tumor Biopsies of Patients with Oral Squamous Cell Carcinoma

Background and objective: Oral squamous cell carcinoma (OSCC) is the most common head and neck malignancy. Expression patterns of microRNAs (miRNAs) can direct us in identifying valuable biomarkers for the prognosis of different neoplasms. Inappropriate regulation of miRNAs during physiological procedures can result in malignancies including OSCC. The aim of the present study was to evaluate the expression of miR-486-3p, miR-561-5p, miR-548-3p, and miR-509-5p in tissue biopsy samples with and without OSCC. Materials and methods: This case-control study was conducted on 17 healthy and 17 OSCC tissue biopsy samples. The expression of miRNAs was assessed using quantitative real-time PCR (q-RT-PCR) after RNA extraction from normal and cancer tissues and cDNA synthesis. Results: The means of miRNA-486-3p, miR-561-5p, and miR-548-3p expression were significantly different between OSCC and control groups (p < 0.001), but there was no significant difference in means of miR-509-5p expression between OSCC and control groups (p = 0.179). Conclusions: The findings of this study revealed that the expression of miR-486-3p and miR-561-5p was significantly lower in cancer samples compared to normal tissue samples. On the other hand, miR-548-3p expression increased in the OSCC group compared to the control group.

Integrating Multi–Omics Data for Gene-Environment Interactions

Gene-environment (G×E) interaction is critical for understanding the genetic basis of complex disease beyond genetic and environment main effects. In addition to existing tools for interaction studies, penalized variable selection emerges as a promising alternative for dissecting G×E interactions. Despite the success, variable selection is limited in terms of accounting for multidimensional measurements. Published variable selection methods cannot accommodate structured sparsity in the framework of integrating multiomics data for disease outcomes. In this paper, we have developed a novel variable selection method in order to integrate multi-omics measurements in G×E interaction studies. Extensive studies have already revealed that analyzing omics data across multi-platforms is not only sensible biologically, but also resulting in improved identification and prediction performance. Our integrative model can efficiently pinpoint important regulators of gene expressions through sparse dimensionality reduction, and link the disease outcomes to multiple effects in the integrative G×E studies through accommodating a sparse bi-level structure. The simulation studies show the integrative model leads to better identification of G×E interactions and regulators than alternative methods. In two G×E lung cancer studies with high dimensional multi-omics data, the integrative model leads to an improved prediction and findings with important biological implications.

Pharmacological inhibition of CDK7 by THZ1 impairs tumor growth in p53-mutated HNSCC

BACKGROUND

Cyclin-dependent kinase 7 (CDK7) has been critically linked to human cancer. However, the roles of CDK7 in head and neck squamous cell carcinoma (HNSCC) remain incompletely known. Here, we sought to dissect the functions of CDK7 underlying HNSCC tumorigenesis and explore whether pharmacological inhibition of CDK7 could induce anti-cancer effects.

METHODS

CDK7 expression was measured in a panel of HNSCC cell lines with p53 mutation and 20 pairs of HNSCC samples and adjacent non-tumor tissues. Genetic targeting and pharmacological inhibition of CDK7 were conducted to dissect the biological roles of CDK7 in p53-mutated HNSCC cells. An HNSCC xenograft model was developed to determine the therapeutic effects of THZ1 in vivo. Potential genes and pathways responsible for therapeutic effects of THZ1 were identified by genome-wide RNA-sequencing and bioinformatics interrogations.

RESULTS

CDK7 expression was significantly elevated in cancerous cells and samples as compared with their adjacent non-tumor counterparts. Impaired cell proliferation, migration, and invasion as well increased apoptosis were observed in cells upon CDK7 knockdown or THZ1 exposure. THZ1 administration potently inhibited tumor overgrowth in vivo. Mechanistically, hundreds of genes enriched in cell proliferation, apoptosis, and cancer-related categories were identified to be potentially mediated the therapeutic effects of THZ1 in HNSCC.

CONCLUSION

Our findings reveal that CDK7 might serve as a novel putative pro-oncogenic gene underlying HNSCC tumorigenesis and therapeutic targeting of CDK7 might be a promising strategy for p53-mutated HNSCC.

Blood and Salivary MicroRNAs for Diagnosis of Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis

PURPOSE

This meta-analysis aimed to compare and evaluate the diagnostic accuracy of blood and salivary microRNAs (miRNAs) in discriminating oral squamous cell carcinoma (OSCC).

METHODS

The PubMed, Embase, Web of Science, and Cochrane Library were searched (updated to February 2020) to identify all articles describing the diagnostic value of blood and salivary miRNAs for OSCC. The pooled parameters were calculated using Revman (v.5.3) and STATA (v.14.0).

RESULTS

Twenty articles involving 1,106 patients and 732 controls were included in this meta-analysis. The pooled sensitivity and specificity of salivary miRNAs were 0.70 (95% CI: 0.63-0.77) and 0.82 (95% CI: 0.72-0.90). For blood miRNAs, they were 0.79 (95% CI: 0.73-0.84) and 0.82 (95% CI: 0.77-0.86). The areas under receiver operating characteristic curve in saliva, blood, and body fluid miRNAs were 0.80 (95% CI: 0.77-0.84), 0.88 (95% CI: 0.84-0.90), and 0.87 (95% CI: 0.84-0.90), respectively.

CONCLUSIONS

The results of this meta-analysis indicate a moderate diagnostic accuracy of blood and salivary miRNAs presented for OSCC. These findings may provide less invasive and relatively reliable diagnostic tools for OSCC detection.

miR-155, miR-191, and miR-494 as diagnostic biomarkers for oral squamous cell carcinoma and the effects of Avastin on these biomarkers

Objectives

Oral squamous cell carcinoma (OSCC) is one of the most common types of head and neck cancer. MicroRNAs, as new biomarkers, are recommended for diagnosis and treatment of different types of cancers. Bevacizumab, sold under the trade name Avastin, is a humanized whole monoclonal antibody that targets and blocks VEGF-A (vascular endothelial growth factor A; angiogenesis) and oncogenic signaling pathways.

Materials and Methods

This study comprised 50 cases suffering from OSCC and 50 healthy participants. Peripheral blood samples were collected in glass test tubes, and RNA extraction was started immediately. Expression levels of miR-155, miR-191, and miR-494 biomarkers in the peripheral blood of OSCC-affected individuals and healthy volunteers in vivo were evaluated using real-time PCR. The influence of Avastin on the expression levels of the aforementioned biomarkers in vitro and in the HN5 cell line was also investigated.

Results

Expression levels of miR-155, miR-191, and miR-494 in the peripheral blood of individuals affected by OSCC were higher than in those who were healthy. Moreover, Avastin at a concentration of 400 µM caused a decrease in the expression levels of the three biomarkers and a 1.5-fold, 3.5-fold, and 4-fold increase in apoptosis in the test samples compared to the controls in the HN5 cell line after 24, 48, and 72 hours, respectively.

Conclusion

The findings of this study demonstrate that overexpression of miR-155, miR-191, and miR-494 is associated with OSCC, and Avastin is able to regulate and downregulate the expression of those biomarkers and increase apoptosis in cancerous cells in the HN5 cell line

Integrated In-silico Analysis to Study the Role of microRNAs in the Detection of Chronic Kidney Diseases

Background:

MicroRNAs (miRNAs) play an important role in the pathogenesis of various renal diseases, including Chronic Kidney Diseases (CKD). CKD refers to the gradual loss of kidney function with the declining Glomerular Functional Rate (GFR).

Objective:

This study focused on the regulatory mechanism of miRNA to control gene expression in CKD.

Methods:

In this context, two lists of Differentially Expressed Genes (DEGs) were obtained; one from the three selected experiments by setting a cutoff p-value of <0.05 (List A), and one from a list of target genes of miRNAs (List B). Both lists were then compared to get a common dataset of 33 miRNAs, each had a set of DEGs i.e. both up-regulated and down-regulated genes (List C). These data were subjected to functional enrichment analysis, network illustration, and gene homology studies.

Results:

This study confirmed the active participation of various miRNAs i.e. hsa -miR-15a-5p, hsa-miR-195-5p, hsa-miR-365-3p, hsa-miR-30a-5p, hsa-miR-124-3p, hsa-miR-200b-3p, and hsamiR- 429 in the dysregulation of genes involved in kidney development and function. Integrated analyses depicted that miRNAs modulated renal development, homeostasis, various metabolic processes, immune responses, and ion transport activities. Furthermore, homology studies of miRNA-mRNA hybrid highlighted the effect of partial complementary binding pattern on the regulation of genes by miRNA.

Conclusion:

The study highlighted the great values of miRNAs as biomarkers in kidney diseases. In addition, the need for further investigations on miRNA-based studies is also commended in the development of diagnostic, prognostic, and therapeutic tools for renal diseases.

miRNAs expression of oral squamous cell carcinoma patients: Validation of two putative biomarkers

microRNA expression patterns have provided new directions in the search of biomarkers with prognostic value and even in the search of novel therapeutic targets for several neoplasms. Specifically, miRNAs profiling in oral squamous cell carcinoma (OSCC) represents a web of intrigue in the study of oral carcinogenesis. The objective of the present study was twofold:The first study phase comprised case-control groups: A) 8 OSCC-affected patients and 8 healthy controls. Microarray technology (Affymetrix miRNA Array Plate 4.1) was used for miRNAs expression profile. Deregulated miRNAs were studied using Diana Tools miRPath 3.0 to associate miRNA targets with molecular pathways via Kyoto Encyclopedia of Genes and Genomes (KEGG). In a second phase, 2 miRNAs chosen for the subsequent RT-qPCR validation were studied in a second OSSC cohort (n = 8).Microarray analysis identified 80 deregulated miRNAs (35 over-expressed and 45 under-expressed). Two miRNAs (miR-497-5p and miR-4417) were chosen for further validation via RT-qPCR. Prognostic analysis did not ascertain relevant relation between miR-497-5p or miR-4417 expression and clinical or pathological parameters, except high miR-4417 in the case of nodular affectation (P = .035) and diminished miR-497-5p radiotherapy-treated patients (P = .05). KEGG analysis revealed that deregulated miRNAs were implicated in several biological pathways such as Proteoglycans in cancer.Our data suggest an altered miRNAs profiling in OSCC-affected patients. We have verified the altered expression of miR-497-5p and miR-4417 in OSCC samples and related the deregulated miRNAs with the 'proteoglycans in cancer' pathway. Further longitudinal studies with large samples are warranted to confirm the present findings.

Differential Effect of Smoking on Gene Expression in Head and Neck Cancer Patients

Smoking is a well-known behavior that has an important negative impact on human health, and is considered to be a significant factor related to the development and progression of head and neck squamous cell carcinomas (HNSCCs). Use of high-dimensional datasets to discern novel HNSCC driver genes related to smoking represents an important challenge. The Cancer Genome Atlas (TCGA) analysis was performed in three co-existing groups of HNSCC in order to assess whether gene expression landscape is affected by tobacco smoking, having quit, or non-smoking status. We identified a set of differentially expressed genes that discriminate between smokers and non-smokers or based on human papilloma virus (HPV)16 status, or the co-occurrence of these two exposome components in HNSCC. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways classification shows that most of the genes are specific to cellular metabolism, emphasizing metabolic detoxification pathways, metabolism of chemical carcinogenesis, or drug metabolism. In the case of HPV16-positive patients it has been demonstrated that the altered genes are related to cellular adhesion and inflammation. The correlation between smoking and the survival rate was not statistically significant. This emphasizes the importance of the complex environmental exposure and genetic factors in order to establish prevention assays and personalized care system for HNSCC, with the potential for being extended to other cancer types.