In Silico screening of circulating tumor DNA, circulating microRNAs, and long non-coding RNAs as diagnostic molecular biomarkers in ovarian cancer: A comprehensive meta-analysis

miRNAs in ovarian disorders: Small but strong cast

PURPOSE

This research aimed to analyze alterations in microRNA expression in the diseases POF (Premature Ovarian Failure), PCOS (Polycystic Ovarian Syndrome), and ovarian cancer in order to understand the molecular changes associated with these conditions. The findings could potentially be utilized for diagnostic, therapeutic, predictive, and preventive purposes. Furthermore, the impact and role of microRNAs in each ailment, along with their functional pathways, were elucidated and examined.

METHODS

In this study, the genes involved in the disease were studied, and then the miRNAs that targeted these genes were evaluated, and finally the signaling and functional pathways of each of the miRNAs were assessed. In this process, genetic databases and previous studies were carefully assessed.

RESULTS

miRNAs are short nucleotide sequences that belong to the category of non-coding RNAs. They play a crucial role in various physiological activities, including cell division, growth, differentiation, and cell death (necrosis and apoptosis), miRNAs are involved in various physiological processes Such alterations are common in various diseases, including cancer. miRNAs are involved in various physiological processes, such as folliculogenesis and steroidogenesis, as well as in pathological conditions such as POF, PCOS, and ovarian cancer. They have powerful regulatory effects and controlling the most activities of normal and pathological cells. While microRNAs (miRNAs) play a significant role in normal ovarian functions, there are reports of their expression changes in PCOS, ovarian cancer, and POF.

CONCLUSIONS

miRNAs have been found to exert significant influence on both physiological and pathological cellular processes. Understanding the dynamic patterns of miRNA alterations can provide valuable insights for researchers and therapists, enabling them to utilize these biomarkers effectively in diagnostic, therapeutic, and preventive applications.

Does circulating tumor DNA apply as a reliable biomarker for the diagnosis and prognosis of head and neck squamous cell carcinoma?

Oral cavity cancer is the most common type of head and neck cancer. There is no definitive standard diagnosis, prognosis, or treatment response biomarker panel based on simple, specific, non-invasive, and reliable methods for head and neck squamous cell carcinoma (HNSCC) patients. On the other hand, the frequent post-treatment biopsies make it challenging to discriminate residual disease or recurrent tumors following postoperative reparative and post-radiation changes. Saliva, blood plasma, and serum samples were commonly used to monitor HNSCC through liquid biopsies. Based on the evidence, the most prominent molecular-based fluid biomarker, such as circulating tumor DNA (ctDNA), has potential applications for early cancer diagnosis, screening, patient management, and surveillance. ctDNA showed genomic and epigenomic changes and the status of human papillomavirus (HPV) with the real-time monitoring of tumor status through cancer therapy. Due to the intra and inter-tumor heterogeneity of tumor cells like cancer stem cells (CSCs) and tumor microenvironment (TME) in HNSCC, the tiny tissue biopsy cannot reflect all genomic and transcriptomic abnormality. Most liquid biopsies are applied to detect circulating molecular biomarkers consisting of cell-free DNA (cfDNA), ctDNA, microRNA, mRNA, and exosome for monitoring tumor progression. Based on the results of previous studies, liquid biopsy can be applied for comprehensive multi-omic discovery by assessing the predictive value of ctDNA in both early and advanced cancers. Liquid biopsy can be used to evaluate molecular signature profiles in HNSCC patients, with great potential to help in early diagnosis, prognosis, surveillance, and treatment monitoring of tumors. These happen by designing longitudinal extensive cohort studies and the utility of organoid technology that promotes the context of personalized and precision cancer medicine.

Single-molecule epiallelic profiling of DNA derived from routinely collected Pap specimens for noninvasive detection of ovarian cancer

Recent advances in molecular analyses of ovarian cancer have revealed a wealth of promising tumour-specific biomarkers, including protein, DNA mutations and methylation; however, reliably detecting such alterations at satisfactorily high sensitivity and specificity through low-cost methods remains challenging, especially in early-stage diseases. Here we present PapDREAM, a new approach that enables detection of rare, ovarian-cancer-specific aberrations of DNA methylation from routinely-collected cervical Pap specimens. The PapDREAM approach employs a microfluidic platform that performs highly parallelized digital high-resolution melt to analyze locus-specific DNA methylation patterns on a molecule-by-molecule basis at or near single CpG-site resolution at a fraction (< 1/10th) of the cost of next-generation sequencing techniques. We demonstrate the feasibility of the platform by assessing intermolecular heterogeneity of DNA methylation in a panel of methylation biomarker loci using DNA derived from Pap specimens obtained from a cohort of 43 women, including 18 cases with ovarian cancer and 25 cancer-free controls. PapDREAM leverages systematic multidimensional bioinformatic analyses of locus-specific methylation heterogeneity to improve upon Pap-specimen-based detection of ovarian cancer, demonstrating a clinical sensitivity of 50% at 99% specificity in detecting ovarian cancer cases with an area under the receiver operator curve of 0.90. We then establish a logistic regression model that could be used to identify high-risk patients for subsequent clinical follow-up and monitoring. The results of this study support the utility of PapDREAM as a simple, low-cost screening method with the potential to integrate with existing clinical workflows for early detection of ovarian cancer. KEY POINTS: We present a microfluidic platform for detection and analysis of rare, heterogeneously methylated DNA within Pap specimens towards detection of ovarian cancer. The platform achieves high sensitivity (fractions <0.00005%) at a suitably low cost (∼$25) for routine screening applications. Furthermore, it provides molecule-by-molecule quantitative analysis to facilitate further study on the effect of heterogeneous methylation on cancer development.

Current strategies for early epithelial ovarian cancer detection using miRNA as a potential tool

Ovarian cancer is one of the most aggressive and significant malignant tumor forms in the female reproductive system. It is the leading cause of death among gynecological cancers owing to its metastasis. Since its preliminary disease symptoms are lacking, it is imperative to develop early diagnostic biomarkers to aid in treatment optimization and personalization. In this vein, microRNAs, which are short sequence non-coding molecules, displayed great potential as highly specific and sensitive biomarker. miRNAs have been extensively advocated and proven to serve an instrumental part in the clinical management of cancer, especially ovarian cancer, by promoting the cancer cell progression, invasion, delayed apoptosis, epithelial-mesenchymal transition, metastasis of cancer cells, chemosensitivity and resistance and disease therapy. Here, we cover our present comprehension of the most up-to-date microRNA-based approaches to detect ovarian cancer, as well as current diagnostic and treatment strategies, the role of microRNAs as oncogenes or tumor suppressor genes, and their significance in ovarian cancer progression, prognosis, and therapy.

MicroRNA targeting: A novel therapeutic intervention for ovarian cancer

Ovarian cancer, a perilous form of cancer affecting the female reproductive system, exhibits intricate communication networks that contribute to its progression. This study aims to identify crucial molecular abnormalities linked to the disease to enhance diagnostic and therapeutic strategies. In particular, we investigate the role of microRNAs (miRNAs) as diagnostic biomarkers and explore their potential in treating ovarian cancer. By targeting miRNAs, which can influence multiple pathways and genes, substantial therapeutic benefits can be attained. In this review we want to shed light on the promising application of miRNA-based interventions and provide insights into the specific miRNAs implicated in ovarian cancer pathogenesis.

Sharing Circulating Micro-RNAs between Osteoporosis and Sarcopenia: A Systematic Review

Background: Osteosarcopenia, a combination of osteopenia/osteoporosis and sarcopenia, is a common condition among older adults. While numerous studies and meta-analyses have been conducted on osteoporosis biomarkers, biomarker utility in osteosarcopenia still lacks evidence. Here, we carried out a systematic review to explore and analyze the potential clinical of circulating microRNAs (miRs) shared between osteoporosis/osteopenia and sarcopenia. Methods: We performed a systematic review on PubMed, Scopus, and Embase for differentially expressed miRs (p-value < 0.05) in (i) osteoporosis and (ii) sarcopenia. Following screening for title and abstract and deduplication, 83 studies on osteoporosis and 11 on sarcopenia were identified for full-text screening. Full-text screening identified 54 studies on osteoporosis, 4 on sarcopenia, and 1 on both osteoporosis and sarcopenia. Results: A total of 69 miRs were identified for osteoporosis and 14 for sarcopenia. There were 9 shared miRs, with evidence of dysregulation (up- or down-regulation), in both osteoporosis and sarcopenia: miR-23a-3p, miR-29a, miR-93, miR-133a and b, miR-155, miR-206, miR-208, miR-222, and miR-328, with functions and targets implicated in the pathogenesis of osteosarcopenia. However, there was little agreement in the results across studies and insufficient data for miRs in sarcopenia, and only three miRs, miR-155, miR-206, and miR-328, showed the same direction of dysregulation (down-regulation) in both osteoporosis and sarcopenia. Additionally, for most identified miRs there has been no replication by more than one study, and this is particularly true for all miRs analyzed in sarcopenia. The study quality was typically rated intermediate/high risk of bias. The large heterogeneity of the studies made it impossible to perform a meta-analysis. Conclusions: The findings of this review are particularly novel, as miRs have not yet been explored in the context of osteosarcopenia. The dysregulation of miRs identified in this review may provide important clues to better understand the pathogenesis of osteosarcopenia, while also laying the foundations for further studies to lead to effective screening, monitoring, or treatment strategies.

Advances on Prevention and Screening of Gynecologic Tumors: Are We Stepping Forward?

According to 2020 comprehensive global cancer statistics published by the International Agency for Research on Cancer, gynecologic malignancies accounted overall for 16 [...].

The Role of miRNA in Ovarian Cancer: an Overview

Ovarian cancer (OC) is a highly malignant disease that seriously threatens women’s health and poses challenges for clinicians. MicroRNAs (miRNAs) have recently been intensively studied in the field of oncology due to their regulatory roles in gene expressions through RNA degradation and/or translation inhibition. This review summarizes the current studies on miRNAs in OC and introduces the latest updates of miRNAs in the early screening, treatment, and prognostic prediction of OC, thereby demonstrating the clinical significance of miRNAs in OC. Further exploration on potential targets of miRNAs in OC may provide new insights on optimizing the diagnosis and treatment of OC. MiRNAs are important driving factors for the progression of OC and the dysregulation of miRNAs can serve as biomarkers in the diagnosis, treatment and prognosis of OC. Therefore, miRNAs are potential biological targets for early screening, targeted therapy, drug resistance monitoring, and prognosis improvement in malignancies such as OC.

(In)Distinctive Role of Long Non-Coding RNAs in Common and Rare Ovarian Cancers

Rare ovarian cancers (ROCs) are OCs with an annual incidence of fewer than 6 cases per 100,000 women. They affect women of all ages, but due to their low incidence and the potential clinical inexperience in management, there can be a delay in diagnosis, leading to a poor prognosis. The underlying causes for these tumors are varied, but generally, the tumors arise due to alterations in gene/protein expression in cellular processes that regulate normal proliferation and its checkpoints. Dysregulation of the cellular processes that lead to cancer includes gene mutations, epimutations, non-coding RNA (ncRNA) regulation, posttranscriptional and posttranslational modifications. Long non-coding RNA (lncRNA) are defined as transcribed RNA molecules, more than 200 nucleotides in length which are not translated into proteins. They regulate gene expression through several mechanisms and therefore add another level of complexity to the regulatory mechanisms affecting tumor development. Since few studies have been performed on ROCs, in this review we summarize the mechanisms of action of lncRNA in OC, with an emphasis on ROCs.