miRNA-21 as Reliable Serum Diagnostic Biomarker Candidate for Metastatic Progressive Prostate Cancer: Meta-analysis Approach

Constructing diagnostic signature of serum microRNAs using machine learning for early pan-cancer detection

BACKGROUND

Cancer is a major public health concern and the second leading cause of death worldwide. Various studies have reported the use of serum microRNAs (miRNAs) as non-invasive biomarkers for cancer detection. However, large-scale pan-cancer studies based on serum miRNAs have been relatively scarce.

METHODS

An optimized machine learning workflow, combining least absolute shrinkage and selection operator (LASSO) analyses, recursive feature elimination (RFE), and fourteen kinds of machine learning algorithms, was use to screen out candidate miRNAs from 2540 serum miRNAs and constructed a potent diagnostic signature (Cancer-related Serum miRNA Signatures) for pan-cancer detection, based on a serum miRNA expression dataset of 38,223 samples.

RESULT

Cancer-related Serum miRNA Signatures performed well in pan-cancer detection with an area under curve (AUC) of 0.999, 94.51% sensitivity, and 99.49% specificity in the external validation cohort, and represented an acceptable diagnostic performance for identifying early-stage tumors. Furthermore, the ability of multi-classification of tumors by serum miRNAs in pancreatic, colorectal, and biliary tract cancers was lower than that in other cancers, which showed accuracies of 59%, 58.5%, and 28.9%, respectively, indicating that the difference in serum miRNA expression profiles among a small number of tumor subtypes was not as significant as that between cancer samples and non-cancer controls.

CONCLUSION

We have developed a serum miRNA signature using machine learning that may be a cost-effective risk tool for pan-cancer detection. Our findings will benefit not only the predictive diagnosis of cancer but also a preventive and more personalized screening plan.

A simultaneous strategy with multiple-signal amplification and self-calibration for ultrasensitive assay of miRNA-21 based on 3D MNPs-IL-rGO-AuNPs

MicroRNA-21 (miRNA-21) is a significant biomarker for the development and progression of diverse cancers but is present in relatively low concentrations. Detecting such low-abundance molecules accurately can be challenging, especially in early-stage cancers where the concentration may be even lower. Herein, a self-calibration biosensing platform based on 3D novel MNPs-IL-rGO-AuNPs nanocomposites was successfully established for the ultrasensitive detection of miRNA-21. Duplex-specific nuclease (DSN) was introduced to recognize perfectly matched duplexes and trigger target recycling, enhancing the specificity and sensitivity of the biosensor. DSN-assisted target recycling, in conjunction with magnetic separation enrichment and high-performance MNPs-IL-rGO-AuNPs, collectively formed a multiple-signal amplification strategy. The obtained biosensor could output dual signals in both electrochemical and fluorescent modes, enabling self-correcting detection to enhance the accuracy. The obtained dual-mode biosensor prepared exhibited a wide detection range from 5 fM to 100 nM with a remarkably low LOD of 1.601 fM. It accomplished the sensitive evaluation of miRNA-21 in total RNA extracted from various human cancer cell lines and normal cell lines. Additionally, the greatly satisfactory outcomes in the analysis of human serum samples suggested that the proposed biosensor was a powerful screening candidate in early clinical diagnosis of cancer.

Construction and bioanalytical applications of poly-adenine-mediated gold nanoparticle-based spherical nucleic acids

Owing to the versatile photophysical and chemical properties, spherical nucleic acids (SNAs) have been widely used in biosensing. However, traditional SNAs are formed by self-assembly of thiolated DNA on the surface of a gold nanoparticle (AuNP), where it is challenging to precisely control the orientation and surface density of DNA. As a new SNA, a polyadenine (polyA)-mediated SNA using the high binding affinity of consecutive adenines to AuNPs shows controllable surface density and configuration of DNA, which can be used to improve the performance of a biosensor. Herein, we first introduce the properties of polyA-mediated SNAs and fundamental principles regarding the polyA-AuNP interaction. Then, we provide an overview of current representative synthesis methods of polyA-mediated SNAs and their advantages and disadvantages. After that, we summarize the application of polyA-mediated SNAs in biosensing based on fluorescence and colorimetric methods, followed by discussion and an outlook of future challenges in this field.

Methylenetetrahydrofolate Reductase C677T (rs1801133) Polymorphism Is Associated with Bladder Cancer in Asian Population: Epigenetic Meta-Analysis as Precision Medicine Approach

The etiology of bladder cancer remains unclear. This study investigates the impact of gene polymorphisms, particularly methylenetetrahydrofolate reductase gene (MTHFR), on bladder cancer susceptibility, focusing on the rs1801133 single-nucleotide polymorphism (SNP). A meta-analysis was conducted after systematically reviewing the MTHFR gene literature, adhering to PRISMA guidelines and registering in PROSPERO (CRD42023423064). Seven studies were included, showing a significant association between the MTHFR C677T (rs1801133) polymorphism and bladder cancer susceptibility. Individuals with the T-allele or TT genotype had a higher likelihood of bladder cancer. In the Asian population, the overall analysis revealed an odds ratio (OR) of 1.15 (95% CI 1.03-1.30; p-value = 0.03) for T-allele versus C-allele and an OR of 1.34 (95% CI 1.04-1.72; p-value = 0.02) for TT genotype versus TC+CC genotype. The CC genotype, however, showed no significant association with bladder cancer. Notably, epigenetic findings displayed low sensitivity but high specificity, indicating reliable identified associations while potentially overlooking some epigenetic factors related to bladder cancer. In conclusion, the MTHFR T-allele and TT genotype were associated with increased bladder cancer risk in the Asian population. These insights into genetic factors influencing bladder cancer susceptibility could inform targeted prevention and treatment strategies. Further research is warranted to validate and expand these findings.

Prostate Cancer: Genetics, Epigenetics and the Need for Immunological Biomarkers

Epidemiological data highlight prostate cancer as a significant global health issue, with high incidence and substantial impact on patients' quality of life. The prevalence of this disease is associated with various factors, including age, heredity, and race. Recent research in prostate cancer genetics has identified several genetic variants that may be associated with an increased risk of developing the disease. However, despite the significance of these findings, genetic markers for prostate cancer are not currently utilized in clinical practice as reliable indicators of the disease. In addition to genetics, epigenetic alterations also play a crucial role in prostate cancer development. Aberrant DNA methylation, changes in chromatin structure, and microRNA (miRNA) expression are major epigenetic events that influence oncogenesis. Existing markers for prostate cancer, such as prostate-specific antigen (PSA), have limitations in terms of sensitivity and specificity. The cost of testing, follow-up procedures, and treatment for false-positive results and overdiagnosis contributes to the overall healthcare expenditure. Improving the effectiveness of prostate cancer diagnosis and prognosis requires either narrowing the risk group by identifying new genetic factors or enhancing the sensitivity and specificity of existing markers. Immunological biomarkers (both circulating and intra-tumoral), including markers of immune response and immune dysfunction, represent a potentially useful area of research for enhancing the diagnosis and prognosis of prostate cancer. Our review emphasizes the need for developing novel immunological biomarkers to improve the diagnosis, prognosis, and management of prostate cancer. We highlight the most recent achievements in the identification of biomarkers provided by circulating monocytes and tumor-associated macrophages (TAMs). We highlight that monocyte-derived and TAM-derived biomarkers can enable to establish the missing links between genetic predisposition, hormonal metabolism and immune responses in prostate cancer.

MiR-299-3p Inhibits Nasopharyngeal Carcinoma Cell Proliferation and Migration by Targeting MMP-2

Purpose

Nasopharyngeal carcinoma (NPC) is a type of squamous cell carcinoma that originated from the epithelial cells of the nose and throat, and its incidence ranks the first among head and neck tumors. However, NPC has a unique and complex etiology that is not completely understood. MiR-299-3p was discovered to be abnormally expressed in cancers. However, the involvement of miR-299-3p in the incidence and progression of nasopharyngeal cancer remains unknown.

Methods

The miR-299-3p expression in nasopharyngeal cancer samples and cell lines was identified using quantitative PCR (qPCR). Nasopharyngeal cancer cells were evaluated for proliferation, migration, and invasion using MTT, colony formation assay, and Transwell invasion assay. MiRBase and TargetScan databases identified the possible miR-299-3p target genes that were confirmed using a dual-luciferase reporter analysis. Additionally, the miR-299-3p target genes were validated by Western blot, colony formation assay, and Transwell assays.

Results

It was found that miR-299-3p expression was low in nasopharyngeal cancer tissues and cell lines, according to qPCR data. Cell proliferation, colony formation, and migration were considerably reduced by miR-299-3p overexpression. Furthermore, matrix metalloproteinase 2 (MMP-2) expression was regulated by miR-299-3p, whereas MMP-2 knockdown significantly inhibited the capacity of nasopharyngeal cancer cells to form colonies and migrate. Overexpression of MMP-2 substantially reduced the miR-299-3p inhibitory impact on nasopharyngeal cancer cell migration and colony formation.

Conclusion

The miR-299-3p acts as a tumor suppressor gene to suppress the growth and spread of nasopharyngeal cancer by regulating MMP-2 expression. Therefore, miR-299-3p and MMP-2 could be important therapeutic targets for suppressing nasopharyngeal cancer growth and metastasis.

miRNA-21 Serum Evaluation in BPH, Hormone Sensitive Prostate Cancer, and Castrate Resistant Prostate Cancer: Attempt for Diagnostic Biomarker Evaluation

BACKGROUND

Some of prostate cancer cases could progress to be Castrate Resistant Prostate Cancer (CRPC). However it is still a challenge to early diagnose it since no reliable examination could be done except PSA, which has high variability. It is now known that miRNAs are involved in nearly all inflammatory responses. Several malignancies in humans that specifically express miRNA have been detected and identified. The expression values of miRNA-21 also correlates with the occurrence of resistant castration of prostate cancer and metastases, therefore miRNA-21 is expected to be a biomarker to estimate the progression of cancer.

OBJECTIVE

The purpose of this study was to analyze the expression values and cut-off markers of miRNA-21 as markers of CRPC progression.

METHODS

This study used a retrospective cohort design with observational analysis. The forty-eight total sample was obtained from serum, then the RT-PCR was performed to obtain expression values of miRNA-21. Data were analyzed using One Way ANOVA to see the difference in the expression values of miRNA-21. Furthermore, to determine the cut-off analysis was carried out using the ROC curve.

RESULTS

In the BPH group, an average expression value of miRNA-21 was 33,785±1.80 ng/dL, in the Prostate cancer group the average miRNA-21 was 34.51±1.32 ng/dL, while in the CRPC group, an average miRNA-21 was obtained, reaching to 34.51±1.32 ng/dL. The cut-off value of miRNA-21 from the BPH category was <33,595, PPV = 50%, NPV = 80% with a value of p = 0.081, the prostate Ca category was 33.595-35.21, PPV = 87.5%, NPV = 66.7% with p value = 0.003, while the value of miRNA-21 in the CRPC category was> 35.21, PPV = 80%, NPV = 58.3 with a value of p = 0.04.

CONCLUSION

There is a significant difference in the expression values of miRNA-21 between BPH with CRPC and Prostate cancer and CRPC, therefore, miRNA-21 cut-off point is potential to differentiate the diagnosis.