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New prevention strategies are needed to detect cervical intraepithelial neoplasia (CIN). The microRNA expression analysis has already been reported as molecular biomarkers in the early detection of cervical cancer (CC) through minimally invasive samples, such as liquid biopsy, obtained through collection using liquid-based cytology (LBC). In this study, we aimed to identify molecular signatures of microRNAs in cervical precursor lesions from LBC cervical and the molecular pathways potentially associated with the CC progression. We analyzed 31 LBC cervical samples from women who underwent colposcopy. These samples were divided into two groups: the first group was composed of samples without precursor lesions of CC, considering the control group, referred to as healthy female subjects (HFS; n = 11 ). The second group corresponded to women diagnosed with cervical interepithelial neoplasia grade 3 (CIN 3; n = 20 ). We performed microRNA and gene expression profiling using the nCounter® miRNA Expression Assays (NanoString Technology) and PanCancer Pathways (NanoString Technology), respectively. A microRNA target prediction was performed by mirDIP, and molecular pathway interaction was constructed using Cytoscape. Bidirectional in silico analyses and Pearson’s correlation were performed for associated the relation between genes, and miRNAs differentially expressed related cervical cancer progression were performed. We found that the expression of nine microRNAs was significantly higher, two were downregulated (miR-381-3p and miR-4531), and seven miRNAs were upregulated (miR-205-5p, miR-130a-3p, miR-3136-3p, miR-128-2-5p, let-7f-5p, miR-202-3p, and miR-323a-5p) in CIN 3 ( fold change ≥ 2 and p ≤ 0.05 ). The miRNA expression patterns were independent of hr-HPV infection. We identified four miRNAs (miR-205-5p, miR-130a-3p, miR-4531, and miR-381-3p) that could be used as biomarkers for CIN 3 in LBC samples through multiple logistic regression analyses. We found 16 genes differentially expressed between CIN 3 and HSF samples ( fold change ≥ 2 and p ≤ 0.05 ). We found the correlation between miR-130a-3p and CCND1( R = − 0.52 ; p = 0.0029 ), miR-205-5p and EGFR ( R = 0.53 ; p = 0.0021 ), and miR-4531 and SMAD2 ( R = − 0.54 ; p = 0.0016 ). In addition, we demonstrated the most significant pathways of the targets associated with cervical cancer progression (FDR-corrected p < 0.001 ). This study demonstrated that miRNA biomarkers may distinguish healthy cervix and CIN 3 and regulate important molecular pathways of carcinogenesis.

Background MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional gene expression regulation and have been described as key regulators of carcinogenesis. Aberrant miRNA expression has been frequently reported in sporadic breast cancers, but few studies have focused on profiling hereditary breast cancers. In this study, we aimed to identify specific miRNA signatures in hereditary breast tumors and to compare with sporadic breast cancer and normal breast tissues. Methods Global miRNA expression profiling using NanoString technology was performed on 43 hereditary breast tumors (15 BRCA1, 14 BRCA2, and 14 BRCAX), 23 sporadic breast tumors and 8 normal breast tissues. These normal breast tissues derived from BRCA1- and BRCA2- mutation carriers (n = 5) and non-mutation carriers (n = 3). Subsequently, we performed receiver operating characteristic (ROC) curve analyses to evaluate the diagnostic performance of differentially expressed miRNAs. Putative target genes of each miRNAs considered as potential biomarkers were identified using miRDIP platform and used for pathway enrichment analysis. Results miRNA expression analyses identified several profiles that were specific to hereditary breast cancers. A total of 25 miRNAs were found to be differentially expressed (fold change: > 2.0 and p 0.75) in hereditary breast tumors compared to normal breast tissues, with an expressive upregulation among BRCAX cases. Furthermore, bioinformatic analysis revealed that these miRNAs shared target genes involved in ErbB, FoxO, and PI3K-Akt signaling pathways. Conclusions Our results showed that miRNA expression profiling can differentiate hereditary from sporadic breast tumors and normal breast tissues. These miRNAs were remarkably deregulated in BRCAX hereditary breast cancers. Therefore, miRNA signatures can be used as potential novel diagnostic biomarkers for the prediction of BRCA1/2- germline mutations and may be useful for future clinical management.

The methylation profile of genes in precursor lesions in cervical cancer was characterized to improve screening techniques for high-grade intraepithelial neoplasia., Objectives The methylation profile of genes in precursor lesions in cervical cancer was characterized to improve screening techniques for high-grade intraepithelial neoplasia. Methods A total of 447 cervical cytology samples obtained from women who underwent colposcopy were examined. The cases were distributed as follows: (1) cervices without cervical intraepithelial neoplasia (CIN; n = 152); (2) cervices with a CIN grade of 1 (CIN 1; n = 147); and (3) cervices with a CIN grade of 2 or 3 (CIN 2/3; n = 148). The methylation pattern for a panel of 15 genes was analysed by quantitative methylation-specific PCR (qMSP) and compared between the groups (≤CIN 1 vs. CIN 2+). Results In the validation set, seven genes presented significantly different methylation profiles according to diagnosis, namely, DAPK1 (p = 0.001), EPB41L3 (p = 0.001), HIC1 (p = 0.028), hsa-miR-124-2 (p = 0.001), LMX1A (p = 0.001), SOX1 (p = 0.001), and TERT (p = 0.001). Six genes showed a significant increase in the frequency of methylation in the presence of hr-HPV, namely, DAPK1 (p = 0.001), EPB41L3 (p = 0.001), hsa-miR-124-2 (p = 0.001), LMX1A (p = 0.001), SOX1 (p = 0.001), and TERT (p = 0.001). The methylation of the hsa-miR-124 gene showed sensitivity and specificity (86.7% and 61.3%, respectively) similar to that of the HPV test (91.3% and 50.0%, respectively). The independent factors associated with the diagnosis of CIN 2+ and the methylation of the hsa-miR-124-2 (OR = 5.1), SOX1 (OR = 2.8), TERT (OR = 2.2), and LMX1A (OR = 2.0) genes were a positive test for hr-HPV (odds ratio [OR] = 5.5). Conclusions Hypermethylation of the hsa-miR-124-2, SOX1, TERT, and LMX1A genes may be a promising biomarker for precursor lesions in cervical cancer regardless of the hr-HPV status., São Paulo Research Foundation (Fundação de Amparo à Pesquisa do Estado de São Paulo–FAPESP) with the cooperation of the Coordination for the Improvement of Higher Education Personnel (Conselho Nacional de Desenvolvimento Científico e Tecnológico–CNPq-PPSUS) (Protocol Nos. 12/51221-4, 14/50014-0, 14/24415-8, and 15/15065-6), the National Institute of Science and Technology (Instituto Nacional de Ciência e Tecnologia–INCT-HPV) (FAPESP Proc. No. 2008/578891 and CNPq Proc. No. 573799/2008-3), and CAPES (PROSUP/CAPES Protocol No. 1571815), info:eu-repo/semantics/publishedVersion

Screening for cervical cancer by cytology has been effective in reducing the worldwide incidence and mortality rates of this disease. However, a number of studies have demonstrated that the sensitivity of conventional cervical cytology may be too low for detection of cervical intraepithelial neoplasias (CIN). Therefore, it is important to incorporate more sensitive molecular diagnostic tests that could substantially improve the detection rates and accuracy for identifying CIN lesions. MicroRNAs (miRNAs) are a class of small non-coding RNAs with the potential to provide robust non-invasive cancer biomarkers for detecting CIN lesions in liquid-based cervical cytology (LBC) samples. At present, there is no consensus on which are the best housekeeping genes for miRNA normalization in LBC. The present study aimed to identify housekeeping genes with consistent and reproducible performance for normalization of reverse transcription-quantitative PCR (RT-qPCR) expression analysis of miRNA using LBC samples. The present study firstly selected six potential candidate housekeeping genes based on a systematic literature evaluation. Subsequently, the expression levels of microRNAs U6, RNU-44, RNU-47, RNU-48, RNU-49 and hsa-miR-16 were measured in 40 LBC samples using RT-qPCR. The stability of each potential housekeeping gene was assessed using the NormFinder algorithm. The results revealed that U6 and RNU-49 were the most stable genes among all candidates requiring fewer amplification cycles and smaller variation across the sample set. However, RNU-44, RNU-47, RNU-48 and hsa-miR-16 stability exceeded the recommended housekeeping value suitable for normalization. The findings revealed that U6 may be a reliable housekeeping gene for normalization of miRNA RT-qPCR expression analysis using LBC samples.

Early detection is crucial for achieving a reduction in breast cancer mortality. Analysis of circulating cell-free microRNAs present in the serum of cancer patients has emerged as a promising new noninvasive biomarker for early detection of tumors and for predicting their molecular classifications. The rationale for this study was to identify subtype-specific molecular profiles of cell-free microRNAs for early detection of breast cancer in serum. Fifty-four early-stage breast cancers with 27 age-matched controls were selected for circulating microRNAs evaluation in the serum. The 54 cases were molecularly classified (luminal A, luminal B, luminal B Her2 positive, Her-2, triple negative). NanoString platform was used for digital detection and quantitation of 800 tagged microRNA probes and comparing the overall differences in serum microRNA expression from breast cancer cases with controls. We identified the 42 most significant (P ≤ 0.05, 1.5-fold) differentially expressed circulating microRNAs in each molecular subtype for further study. Of these microRNAs, 19 were significantly differentially expressed in patients presenting with luminal A, eight in the luminal B, ten in luminal B HER 2 positive, and four in the HER2 enriched subtype. AUC is high with suitable sensitivity and specificity. For the triple negative subtype miR-25-3p had the best accuracy. Predictive analysis of the mRNA targets suggests they encode proteins involved in molecular pathways such as cell adhesion, migration, and proliferation. This study identified subtype-specific molecular profiles of cell-free microRNAs suitable for early detection of breast cancer selected by comparison to the microRNA profile in serum for female controls without apparent risk of breast cancer. This molecular profile should be validated using larger cohort studies to confirm the potential of these miRNA for future use as early detection biomarkers that could avoid unnecessary biopsy in patients with a suspicion of breast cancer., Foundation for Research Support of the State of São Paulo (FAPESP process 2015/21082-0) and Public Ministry of Labor Campinas (Research, Prevention, and Education of Occupational Cancer).