Serum miR-638 Combined with Squamous Cell Carcinoma-Related Antigen as Potential Screening Biomarkers for Cervical Squamous Cell Carcinoma

Circulating micrornas as potential diagnostic biomarkers for cervical intraepithelial neoplasia and cervical cancer: a systematic review and meta-analysis

BACKGROUND

Cervical cancer is a prevalent malignancy of the female reproductive system. Cervical intraepithelial neoplasia (CIN) is a precursor lesion for CC. Various studies have examined circulating microRNAs (miRNAs) as potential early diagnostic markers for CC and CIN. However, the findings have been inconclusive. Therefore, it is necessary to evaluate the diagnostic accuracy and identify potential sources of variability among these studies.

METHODS

The PubMed, Cochrane Library, Embase, and Web of Science databases were searched to identify relevant literature. Then, Stata 14.0 was utilized to calculate summary estimates for diagnostic parameters, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (ROC). To scrutinize the heterogeneity, the Cochran-Q test and I2 statistic were utilized. As significant heterogeneity was observed, the random effects model was chosen. To explore potential sources of the heterogeneity, subgroup and regression analyses were conducted.

RESULTS

We analysed 12 articles reporting on 24 studies involving 1817 patients and 1731 healthy controls. The pooled sensitivity was 0.77 (95% CI 0.73-0.81), the specificity was 0.81 (95% CI 0.73-0.86), the PLR was 3.99 (95% CI 2.81-5.65), the NLR was 0.28 (95% CI 0.23-0.35), the DOR was 14.18 (95% CI 8.47-23.73), and the area under the curve (AUC) was 0.85 (95% CI 0.81-0.87). Subgroup analysis revealed that multiple miRNAs can improve diagnostic performance; the pooled sensitivity of multiple miRNAs was 0.78 (95% CI 0.68-0.86), the specificity was 0.85 (95% CI 0.78-0.90), and the AUC was 0.89 (95% CI 0.86-0.91).

CONCLUSION

This study suggested that circulating microRNAs may be biomarkers for early CC diagnosis.

Precision Population Cancer Medicine in Cancer of the Uterine Cervix: A Potential Roadmap to Eradicate Cervical Cancer

With the success of the Human Genome Project, the era of genomic medicine (GM) was born. Later on, as GM made progress, there was a feeling of exhilaration that GM could help resolve many disease processes. It also led to the conviction that personalized medicine was possible, and a relatively synonymous word, precision medicine (PM), was coined. However, the influence of environmental factors and social determinants of diseases was only partially given their due importance in the definition of PM, although more recently, this has been recognized. With the rapid advances in GM, big data, data mining, wearable devices for health monitoring, telemedicine, etc., PM can be more easily extended to population-level health care in disease management, prevention, early screening, and so on.and the term precision population medicine (PPM) more aptly describes it. PPM's potential in cancer care was posited earlier,and the current authors planned a series of cancer disease-specific follow-up articles. These papers are mainly aimed at helping emerging students in health sciences (medicine, pharmacy, nursing, dentistry, public health, population health), healthcare management (health-focused business administration, nonprofit administration, public institutional administration, etc.), and policy-making (e.g., political science), although not exclusively. This first disease-specific report focuses on the cancer of the uterine cervix (CC). It describes how recent breakthroughs can be leveraged as force multipliers to improve outcomes in CC - by improving early detection, better screening for CC, potential GM-based interventions during the stage of persistent Human papillomavirus (HPV) infection and treatment interventions - especially among the disadvantaged and resource-scarce populations. This work is a tiny step in our attempts to improve outcomes in CC and ultimately eradicate CC from the face of the earth.

A systematic review and meta-analysis of miRNAs for the detection of cervical cancer

Aim: This study aimed to critically appraise the evidence of the diagnostic effectiveness of miRNAs for the detection of cervical cancer. Methods & materials: A systematic review and meta-analysis was performed, searching PubMed, EMBASE and Web of Science. An umbrella meta-analysis of meta-analyses of individual biomarkers was performed. A Grading of Recommendations, Assessment, Development and Evaluations (GRADE) assessment of evidence was also performed. Results: A total of 52 miRNAs were included. Umbrella meta-analysis revealed significant heterogeneity in terms of sensitivity, specificity, receiver operating characteristic (ROC), positive predictive value and/or negative predictive value. Umbrella effects were 0.76 (95% CI: 0.73-0.78), 0.78 (95% CI: 0.75-0.81), 0.77 (95% CI: 0.75-0.80), 0.75 (95% CI: 0.71-0.79) and 0.76 (95% CI: 0.74-0.79), respectively. Conclusion: Moderate quality evidence suggested miR199a-5p, miR21-5p and miR-141a had excellent diagnostic performance.

Circulating cervical cancer biomarkers potentially useful in medical attention (Review)

Cervical cancer (CC) is a public health problem worldwide, including Mexico. This type of cancer is the fourth most frequent in women worldwide; in Mexico it is the second most common type in women after breast cancer. The diagnosis of CC is based mainly on Pap smears and colposcopy and the identification of molecular tools that serve as a support for these methods is urgent. Regarding this, differential expressions of specific circulating biomolecules has been detected and, based on this, they have been postulated as potential biomarkers for CC diagnosis, prognosis, and/or to identify the response to treatments. Importantly, the combined analysis of these molecules considerably improves their efficacy as biomarkers and their potential use in the medical attention is promising.

A diagnostic miRNA panel to detect recurrence of ovarian cancer through artificial intelligence approaches

BACKGROUND

Ovarian Cancer (OC) is the deadliest gynecology malignancy, whose high recurrence rate in OC patients is a challenging object. Therefore, having deep insights into the genetic and molecular mechanisms of OC recurrence can improve the target therapeutic procedures. This study aimed to discover crucial miRNAs for the detection of tumor recurrence in OC by artificial intelligence approaches.

METHOD

Through the ANOVA feature selection method, we selected 100 candidate miRNAs among 588 miRNAs. For their classification, a deep-learning model was employed to validate the significance of the candidate miRNAs. The accuracy, F1-score (high-risk), and AUC-ROC of classification test data based on the 100 miRNAs were 73%, 0.81, and 0.65, respectively. Association rule mining was used to discover hidden relations among the selected miRNAs.

RESULT

Five miRNAs, including miR-1914, miR-203, miR-135a-2, miR-149, and miR-9-1, were identified as the most frequent items among high-risk association rules. The identified miRNAs may target genes/proteins involved in epithelial-mesenchymal transition (EMT), resistance to therapy, and cancer stem cells; being responsible for the heterogeneity and plasticity of the tumor. Our conclusion presents mir-1914 as the significant candidate miRNA and the most frequent item. Current knowledge indicates that the dysregulated miR-1914 may function as a tumor suppressor or oncogene in the development of cancer.

CONCLUSION

These candidate miRNAs can be considered a powerful tool in the diagnosis of OC recurrence. We hypothesize that mir-1914 might open a new line of research in the realm of managing the recurrence of OC and could be a significant factor in triggering OC recurrence.

Systematic review of circulating MICRORNAS as biomarkers of cervical carcinogenesis

Background

Cervical cancer is a preventable disease, but it is a major public health problem despite having a good prognosis when diagnosed early. Although the Pap smear has led to huge drops in rates of cervical cancer and death from the disease, it has some limitations, making new approaches necessary for early diagnosis and biomarkers discovery. MiRNAs have been considered a new class of non-invasive biomarkers and may have great clinical value for screening early-stage cervical intraepithelial neoplasia. Well-designed studies have emerged as a necessary strategy for the identification of miRNAs that could be used safely and reliably for a differential diagnosis. This review aims to provide an up-to-date perspective on the assessment of circulating miRNA expression from precursor lesions to cervical cancer, identifying circulating miRNAs or specific miRNA signatures that can be used as potential biomarkers of different stages of cervical carcinogenesis.

Methods

A systematic review was performed and searches were conducted in the PubMed, LILACS, and Scopus electronic databases.

Results

Most studies involved Chinese ethnic women and searched for circulating miRNAs in serum samples. Thirty three microRNAs were evaluated in the eligible studies and 17 (miR-196a, miR-16-2, miR-497, miR-1290, miR-425-5p, hsa-miR- 92a, miR-1266, miR-9, miR-192, miR-205, miR-21, miR-152, miR-15b, miR-34a, miR-218, miR-199a-5p and miR-155-5p) showed up-regulation in women with precursor lesion and cervical cancer and 16 microRNAs showed decreased expression in these same groups of women compared to healthy controls (miR-195, miR-2861, miR-145, miR-214, miR-34a, miR-200a, let-7d-3p, miR-30d-5p, miR-638, miR-203a-3p, miR-1914-5p, miR-521, miR-125b, miR-370, miR-218 and miR-100).

Conclusion

Therefore, defining promising circulating miRNAs or specific miRNA signatures of biological fluid samples can be useful for the screening, diagnosis, prognosis and clinical monitoring of women undergoing cervical carcinogenesis, but greater standardization of studies seems to be necessary for greater consolidation of information.

B7-H6 as a Diagnostic Biomarker for Cervical Squamous Cell Carcinoma

Background: B7-H6, a newly discovered member of the immunoglobulin superfamily, exerts antitumor effects by binding to NKP30 receptor on natural killer cells; it has important clinical implications. Cell surface ectodomain shedding of B7-H6 generates soluble B7-H6 (sB7-H6), which is highly expressed and serves as a valuable biomarker in multiple tumors, but the clinical significance and diagnostic value of B7-H6 in cervical squamous cell carcinoma (CSCC) remains unclear. Objective: To assess the expression and diagnostic value of B7-H6 in CSCC. Methods: In this study, 69 cervical specimens were analyzed for B7-H6 expression: 25 paired CSCC tissues were examined using quantitative real-time polymerase chain reaction, and 24 paraffin-embedded CSCC tissues and 20 normal tissues were analyzed immunohistochemically. Furthermore, plasma samples from 30 CSCC patients and 24 healthy controls were examined using ELISA. Results: B7-H6 mRNA and protein levels were significantly higher in CSCC tissues than in adjacent normal cervical tissues (p < 0.05). Immunohistochemical analysis revealed that high B7-H6 expression correlated with stromal invasion (p = 0.043), lymphovascular space involvement (p = 0.005), lymph node metastasis (p = 0.019), and International Federation of Gynecology and Obstetrics (FIGO) stage (p = 0.002). Moreover, ELISA results demonstrated that the sB7-H6 concentration in peripheral blood was higher in CSCC patients than in healthy controls (p < 0.0001). Notably, at the optimal cutoff point of 0.076 ng/mL, sB7-H6 showed 93.3% sensitivity and 62.5% specificity in the discrimination of CSCC patients from healthy controls. Conclusions: B7-H6 mRNA and protein levels are markedly increased in CSCC tissues and peripheral blood samples, and the B7-H6 level can be used as a biomarker for predicting the severity of CSCC disease and discriminating CSCC patients from healthy controls.

Dysregulation of miR-638 in the progression of cancers

MicroRNA (miRNA) is a form of short, single-stranded and non-coding RNA that is important in regulating the post-transcriptional modification of multiple downstream targets. Many miRNAs have been reported to involve in controlling the progression of human diseases, and one of them is miR-638, which play essential roles in regulating the development of human cancer. By targeting the 3'-ends of its targets, miR-638 can regulate cellular processes including proliferation, invasion, metastases, angiogenesis, apoptosis and inflammation. This review was aimed to summarize current findings on the roles of miR-638 in different human cancers based on the results from various in vitro, in vivo and clinical studies. The biogenesis process and tissue expression, followed by the roles of miR-638 in regulating the development of various human cancers by targeting different downstream targets were covered in this review. The potential applications and challenges of employing miR-638 as cancer biomarker and therapeutic agent were also discussed.