ABSTRACT
Although necrotising enterocolitis (NEC) is a serious, life-threatening disease, improved neonatal care is increasing the number of survivors with NEC among extremely preterm neonates. Therapy is nevertheless mostly symptomatic and the mortality rate remains high, especially among neonates requiring surgery. Therefore, it is important to focus on preventing the disease and modifiable risk factors. NEC's pathophysiology is multifaceted, with key factors being immaturity of the immune and barrier protective mechanisms of the premature gut and exaggerated proinflammatory reaction to insults like gut hypoxia, enteral nutrition or microbial dysbiosis. The role of the intestinal microbiome in the pathophysiology of NEC has been a subject of research for many years, but to date no specific pathogen or type of dysbiosis has been connected with NEC development. This review assesses current knowledge as to the role of the intestinal microbiota in the pathophysiology of NEC and the possibilities for positively influencing it.
Subject(s)
Enterocolitis, Necrotizing , Gastrointestinal Microbiome , Infant, Newborn, Diseases , Infant, Newborn , Humans , Infant, Premature , Enterocolitis, Necrotizing/etiology , Enterocolitis, Necrotizing/prevention & control , Dysbiosis/complicationsABSTRACT
BACKGROUND: The detection of prostate cancer (PCa) is currently based on prostate-specific antigen (PSA) quantification as an initial screening followed by ultrasound-guided transrectal biopsy. However, the high rate of false-negative biopsies often leads to inappropriate treatment. Therefore, new molecular biomarkers, such as urine microRNAs (miRNAs), are a possible way to redefine PCa diagnostics. PATIENTS AND METHODS: Urine samples of 356 patients undergoing prostate biopsy (256 cases with confirmed prostate cancer, 100 cases with negative prostate biopsy) at the Masaryk Memorial Cancer Institute (Czech Republic) and additional 36 control subjects (healthy controls, benign prostatic hyperplasia - BPH) were divided into the discovery and validation cohorts and analyzed. In the discovery phase, small RNA sequencing was performed using the QIAseq miRNA Library Kit and the NextSeq 500 platform. Identified miRNA candidates were validated by the RT-qPCR method in the independent validation phase. RESULTS: Using the small RNA sequencing method, we identified 12 urine miRNAs significantly dysregulated between PCa patients and controls. Furthermore, independent validation showed the ability of miR-501-3p and the quantitative miR-335:miR-501 ratio to distinguish between PCa patients and patients with negative prostate biopsy. The subsequent combination of the miR-335:miR-501 ratio with PSA and total prostate volume (TPV) using logistic regression exceeded the analytical accuracy of standalone parameters [area under curve (AUC)=0.75, positive predictive value (PPV)=0.85, negative predictive value (NPV)=0.51)] and discriminated patients according to biopsy outcome. CONCLUSION: Combination of miR-335:miR-501 ratio with PSA and total prostate volume was able to identify patients with negative prostate biopsy and could potentially streamline decision making for biopsy indication.
Subject(s)
MicroRNAs , Prostatic Hyperplasia , Prostatic Neoplasms , Male , Humans , Prostate/pathology , Prostate-Specific Antigen , Biomarkers, Tumor , Prostatic Neoplasms/genetics , MicroRNAs/genetics , Prostatic Hyperplasia/genetics , BiopsyABSTRACT
PURPOSE: Renal cell carcinoma belongs among the deadliest malignancies despite great progress in therapy and accessibility of primary care. One of the main unmet medical needs remains the possibility of early diagnosis before the tumor dissemination and prediction of early relapse and disease progression after a successful nephrectomy. In our study, we aimed to identify novel diagnostic and prognostic biomarkers using next-generation sequencing on a novel cohort of RCC patients. METHODS: Global expression profiles have been obtained using next-generation sequencing of paired tumor and non-tumor tissue of 48 RCC patients. Twenty candidate lncRNA have been selected for further validation on an independent cohort of paired tumor and non-tumor tissue of 198 RCC patients. RESULTS: Sequencing data analysis showed significant dysregulation of more than 2800 lncRNAs. Out of 20 candidate lncRNAs selected for validation, we confirmed that 14 of them are statistically significantly dysregulated. In order to yield better discriminatory results, we combined several best performing lncRNAs into diagnostic and prognostic models. A diagnostic model consisting of AZGP1P1, CDKN2B-AS1, COL18A1, and RMST achieved AUC 0.9808, sensitivity 95.96%, and specificity 90.4%. The model for prediction of early relapse after nephrectomy consists of COLCA1, RMST, SNHG3, and ZNF667-AS1 and achieved AUC 0.9241 with sensitivity 93.75% and specificity 71.07%. Notably, no combination has outperformed COLCA1 alone. Lastly, a model for stage consists of ZNF667-AS1, PVT1, RMST, LINC00955, and TCL6 and achieves AUC 0.812, sensitivity 85.71%, and specificity 69.41%. CONCLUSION: In our work, we identified several lncRNAs as potential biomarkers and developed models for diagnosis and prognostication in relation to stage and early relapse after nephrectomy.
Subject(s)
Carcinoma, Renal Cell , Kidney Neoplasms , RNA, Long Noncoding , Humans , Carcinoma, Renal Cell/diagnosis , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/surgery , RNA, Long Noncoding/genetics , Biomarkers, Tumor/genetics , Neoplasm Recurrence, Local/diagnosis , Neoplasm Recurrence, Local/genetics , Neoplasm Recurrence, Local/surgery , Nephrectomy , Kidney Neoplasms/diagnosis , Kidney Neoplasms/genetics , Kidney Neoplasms/surgery , Gene Expression Regulation, NeoplasticABSTRACT
miRNA expression in triple-negative breast cancers (TNBC) has mainly been studied from a methodological viewpoint. However, it has not been considered that miRNA expression profile may be associated with a specific morphological entity inside every tumor. The verification of this hypothesis on a set of 25 TNBCs was the subject of our previous work, where we confirmed specific expression of the studied miRNAs in 82 samples of different morphologies including inflammatory infiltrate, spindle cell, clear cell, and metastases after RNA extraction and purification as well as microchip and biostatistical analysis. In the current work, we demonstrate a low suitability of in situ hybridization method for miRNA detection compared to RT-qPCR, and in detail discuss the biological role of 8 miRNAs with the most significant changes of expression.
Subject(s)
MicroRNAs , Triple Negative Breast Neoplasms , Humans , MicroRNAs/genetics , MicroRNAs/metabolism , Triple Negative Breast Neoplasms/genetics , Triple Negative Breast Neoplasms/pathologyABSTRACT
The increased interest in assisted reproduction through in vitro fertilization (IVF) leads to an urgent need to identify biomarkers that reliably highly predict the success of pregnancy. Despite advances in diagnostics, treatment, and IVF approaches, the 30% success rate of IVF seems insurmountable. Idiopathic infertility does not have any explanation for IVF failure especially when a patient is treated with a healthy competitive embryo capable of implantation and development. Since appropriate intercellular communication is essential after embryo implantation, the emergence of the investigation of embryonic secretome including short non-coding RNA (sncRNA) molecules is crucial. That's why biomarker identification, sncRNAs secreted during the IVF process into the blastocyst's cultivation medium, by the implementation of artificial intelligence opens the door to a better understanding of the bidirectional communication between embryonic cells and the endometrium and so the success of the IVF. This study presents a set of promising new sncRNAs which are revealed to predictively distinguish a high-quality embryo, suitable for an embryo transfer in the IVF process, from a low-quality embryo with 86% accuracy. The identified exact combination of miRNAs/piRNAs as a non-invasively obtained biomarker for quality embryo determination, increasing the likelihood of implantation and the success of pregnancy after an embryo transfer.
Subject(s)
RNA, Small Untranslated , Pregnancy , Female , Humans , Artificial Intelligence , Embryo Transfer , Fertilization in Vitro , BiomarkersABSTRACT
Sepsis is a major cause of lethality in neonatal intensive care units. Despite significant advances in neonatal care and growing scientific knowledge about the disease, 4 of every 10 infants born in developed countries and suffering from sepsis die or experience considerable disability, including substantial and permanent neurodevelopmental impairment. Pharmacological treatment strategies for neonatal sepsis remain limited and mainly based upon early initiation of antibiotics and supportive treatment. In this context, numerous clinical and serum-based markers have been evaluated for diagnosing sepsis and evaluating its severity and etiology. MicroRNAs (miRNAs) do not encode for proteins but regulate gene expression by inhibiting the translation or transcription of their target mRNAs. Recently, it was demonstrated in adult patients that miRNAs are released into the circulation and that the spectrum of circulating miRNAs is altered during various pathologic conditions, such as inflammation, infection, and sepsis. Here, we summarize current findings on the role of circulating miRNAs in the diagnosis and staging of neonatal sepsis. The conclusions point to substantial diagnostic potential, and several miRNAs have been validated independently by different teams, namely miR-16a, miR-16, miR-96-5p, miR-141, miR-181a, and miR-1184.
ABSTRACT
BACKGROUND: Renal cell carcinoma is difficult to diagnose and unpredictable in disease course and severity. There are no specific biomarkers for diagnosis and prognosis estimation feasible in clinical practice. Long non-coding RNAs (lncRNAs) have emerged as potent regulators of gene expression in recent years. Aside from their cellular role, their expression patterns could be used as a biomarker of ongoing pathology. METHODS: In this work, we used next-generation sequencing for global lncRNA expression profiling in tumor and non-tumor tissue of RCC patients. The four candidate lncRNAs have been further validated on an independent cohort. PVT1, as the most promising lncRNA, has also been studied using functional in vitro tests. RESULTS: Next-generation sequencing showed significant dysregulation of 1163 lncRNAs; among them top 20 dysregulated lncRNAs were AC061975.7, AC124017.1, AP000696.1, AC148477.4, LINC02437, GATA3-AS, LINC01762, LINC01230, LINC01271, LINC01187, LINC00472, AC007849.1, LINC00982, LINC01543, AL031710.1, and AC019197.1 as down-regulated lncRNAs; and SLC16A1-AS1, PVT1, LINC0887, and LUCAT1 as up-regulated lncRNAs. We observed statistically significant dysregulation of PVT1, LUCAT1, and LINC00982. Moreover, we studied the effect of artificial PVT1 decrease in renal cell line 786-0 and observed an effect on cell viability and migration. CONCLUSION: Our results show not only the diagnostic but also the therapeutic potential of PVT1 in renal cell carcinoma.
Subject(s)
Carcinoma, Renal Cell , Kidney Neoplasms , RNA, Long Noncoding , Biomarkers, Tumor/genetics , Biomarkers, Tumor/physiology , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/physiopathology , Cell Line, Tumor , Cell Movement/genetics , Cell Proliferation/genetics , Cell Survival/genetics , Gene Expression Regulation, Neoplastic , High-Throughput Nucleotide Sequencing , Humans , Kidney Neoplasms/genetics , Kidney Neoplasms/physiopathology , RNA, Long Noncoding/genetics , RNA, Long Noncoding/metabolism , RNA, Long Noncoding/physiologyABSTRACT
Although many new antiseizure drugs have been developed in the past decade, approximately 30%-40% of patients remain pharmacoresistant. There are no clinical tools or guidelines for predicting therapeutic response in individual patients, leaving them no choice other than to try all antiseizure drugs available as they suffer debilitating seizures with no relief. The discovery of predictive biomarkers and early identification of pharmacoresistant patients is of the highest priority in this group. MicroRNAs (miRNAs), a class of short noncoding RNAs negatively regulating gene expression, have emerged in recent years in epilepsy, following a broader trend of their exploitation as biomarkers of various complex human diseases. We performed a systematic search of the PubMed database for original research articles focused on miRNA expression level profiling in patients with drug-resistant epilepsy or drug-resistant precilinical models and cell cultures. In this review, we summarize 17 publications concerning miRNAs as potential new biomarkers of resistance to antiseizure drugs and their potential role in the development of drug resistance or epilepsy. Although numerous knowledge gaps need to be filled and reviewed, and articles share some study design pitfalls, several miRNAs dysregulated in brain tissue and blood serum were identified independently by more than one paper. These results suggest a unique opportunity for disease monitoring and personalized therapeutic management in the future.
Subject(s)
Drug Resistant Epilepsy , Epilepsy , MicroRNAs , Anticonvulsants/pharmacology , Anticonvulsants/therapeutic use , Biomarkers , Drug Resistance/genetics , Drug Resistant Epilepsy/drug therapy , Drug Resistant Epilepsy/genetics , Epilepsy/drug therapy , Epilepsy/genetics , Humans , MicroRNAs/geneticsABSTRACT
LncRNA PVT1 (plasmacytoma variant translocation 1) has become a staple of the lncRNA profile in patients with renal cell carcinoma (RCC). Common dysregulation in renal tumors outlines the essential role of PVT1 in the development of RCC. There is already a plethora of publications trying to uncover the cellular mechanisms of PVT1-mediated regulation and its potential exploitation in management of RCC. In this review, we summarize the literature focused on PVT1 in RCC and aim to synthesize the current knowledge on its role in the cells of the kidney. Further, we provide an overview of the lncRNA profiling studies that have identified a more or less significant association of PVT1 with the clinical behavior of RCC. Based on our search, we analyzed the 17 scientific papers discussed in this review that provide robust support for the indispensable role of PVT1 in RCC development and future personalized therapy.
Subject(s)
Carcinoma, Renal Cell/genetics , Kidney Neoplasms/genetics , RNA, Long Noncoding/genetics , Cell Movement , Cell Proliferation , Gene Expression Regulation, Neoplastic , Humans , Prognosis , Up-RegulationABSTRACT
Prevalence of inflammatory bowel disease has been on the rise in recent years, especially in pediatric populations. This study aimed to provide precise identification and stratification of pediatric patients with diagnosed ulcerative colitis (UC) according to the severity of their condition and the prediction for standard treatment according to the specific expression of candidate miRNAs. We enrolled consecutive, therapeutically naïve, pediatric UC patients with confirmed pancolitis. We examined formalin-fixed paraffin-embedded specimens of colonic tissue for the expression of 10 selected candidate miRNAs. We performed receiver operating characteristic curve analysis, using area under the curve and a logistic regression model to evaluate the diagnostic and predictive power of the miRNA panels. Sixty patients were included in the final analysis. As a control group, 18 children without macroscopic and microscopic signs of inflammatory bowel disease were examined. The combination of three candidate miRNAs (let-7i-5p, miR-223-3p and miR-4284) enabled accurate detection of pediatric UC patients and controls. A panel of four candidate miRNAs (miR-375-3p, miR-146a-5p, miR-223-3p and miR-200b-3p) was associated with severity of UC in pediatric patients and a combination of three miRNAs (miR-21-5p, miR-192-5p and miR-194-5p) was associated with early relapse of the disease. Nine patients out of the total were diagnosed with primary sclerosing cholangitis (PSC) simultaneously with ulcerative colitis. A panel of 6 candidate miRNAs (miR-142-3p, miR-146a-5p, miR-223-3p, let-7i-5p, miR-192-5p and miR-194-5p) identified those patients with PSC. Specific combinations of miRNAs are promising tools for potential use in precise disease identification and severity and prognostic stratification in pediatric patients with ulcerative pancolitis.
ABSTRACT
The role of cytoreductive nephrectomy (CN) in treatment of locally advanced or metastatic renal cell carcinoma (mRCC) in the era of targeted therapies (TT) is still not clearly defined. The study population consisted of 730 patients with synchronous mRCC. The RenIS (Renal carcinoma Information System) registry was used as the data source. The CN/TT cohort included patients having CN within 3 months from the mRCC diagnosis and subsequently being treated with TT, while the TT cohort included patients receiving TT upfront. Median progression-free survival from the first intervention was 6.7 months in the TT arm and 9.3 months in the CN/TT patients (p < 0.001). Median overall survival was 14.2 and 27.2 months, respectively (p < 0.001). Liver metastasis, high-grade tumor, absence of CN, non-clear cell histology, and MSKCC (Memorial Sloan-Kettering Cancer Center) poor prognosis status were associated with adverse treatment outcomes. According to the results of this retrospective study, patients who underwent CN and subsequently were treated with TT had better outcomes compared to patients treated with upfront TT. The results of the study support the use of CN in the treatment algorithm for mRCC.
ABSTRACT
Prevalence of inflammatory bowel disease (IBD), a chronic inflammatory disorder of the gut, has been on the rise in recent years-not only in the adult population but also especially in pediatric patients. Despite the absence of curative treatments, current therapeutic options are able to achieve long-term remission in a significant proportion of cases. To this end, however, there is a need for biomarkers enabling accurate diagnosis, prognosis, and prediction of response to therapies to facilitate a more individualized approach to pediatric IBD patients. In recent years, evidence has continued to evolve concerning noncoding RNAs (ncRNAs) and their roles as integral factors in key immune-related cellular pathways. Specific deregulation patterns of ncRNAs have been linked to pathogenesis of various diseases, including pediatric IBD. In this article, we provide an overview of current knowledge on ncRNAs, their altered expression profiles in pediatric IBD patients, and how these are emerging as potentially valuable clinical biomarkers as we enter an era of personalized medicine.
Subject(s)
Colitis, Ulcerative/genetics , Crohn Disease/genetics , Inflammatory Bowel Diseases/genetics , Precision Medicine/trends , RNA, Untranslated/analysis , Biomarkers/analysis , Child , Female , Genetic Markers/genetics , Humans , Male , Signal Transduction/genetics , TranscriptomeABSTRACT
OBJECTIVES: Inflammatory bowel disease (IBD) is today a global disease, the incidence of which is growing in the pediatric population. This prospective study aims to decipher IBD incidence and its trend in a pediatric population through 16 years in the South Moravian Region of the Czech Republic. METHODS: We evaluated data concerning 358 pediatric patients with newly diagnosed IBD at University Hospital Brno, which is a gastroenterology center for the entire pediatric population (0-18 years) and cares for all pediatric IBD patients in the South Moravian Region (1,187,667 inhabitants). RESULTS: The study encompassed 3,488,907 children during 16 years. We diagnosed 192 children (53.6%) with Crohn disease (CD), 123 (34.4%) with ulcerative colitis (UC), and 43 (12.0%) with IBD-unclassified (IBD-U). The incidence of IBD increased from 3.8 (CD 2.9, UC 0.9, and IBD-U 0.0) per 100â000/year in 2002 to 14.7 (CD 9.8, UC 4.0, and IBD-U 0.9) per 100,000/year in 2017 (Pâ<â0.001). The overall IBD incidence per 100,000/year was 9.8 (95% confidence interval [CI]: 8.8--10.9). Constituent incidences per 100,000/year were CD 5.2 (95% CI: 4.5--6.0), UC 3.4 (95% CI: 2.8--4.0), and IBD-U 1.2 (95% CI: 0.9--1.6). IBD incidence was projected to reach 18.9 per 100,000/year in 2022. CONCLUSIONS: The overall incidence of pediatric IBD in the Czech Republic is increasing, and especially that of CD, whereas trends in UC and IBD-U appear to be constant. These data highlight the need to identify risk factors involved in the rising incidence of IBD.