Renal cell carcinoma (RCC), a prevalent form of renal malignancy, is distinguished by its proclivity for robust tumor proliferation and metastatic dissemination. Long non-coding RNAs (lncRNAs) have emerged as pivotal modulators of gene expression, exerting substantial influence over diverse biological processes, encompassing the intricate landscape of cancer development. Metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1), an exemplar among lncRNAs, has been discovered to assume functional responsibilities within the context of RCC. The conspicuous expression of MALAT-1 in RCC cells has been closely linked to the advancement of tumors and an unfavorable prognosis. Experimental evidence has demonstrated the pronounced ability of MALAT-1 to stimulate RCC cell proliferation, migration, and invasion, thereby underscoring its active participation in facilitating the metastatic cascade. Furthermore, MALAT-1 has been implicated in orchestrating angiogenesis, an indispensable process for tumor expansion and metastatic dissemination, through its regulatory influence on pro-angiogenic factor expression. MALAT-1 has also been linked to the evasion of immune surveillance in RCC, as it can regulate the expression of immune checkpoint molecules and modulate the tumor microenvironment. Hence, the potential utility of MALAT-1 as a diagnostic and prognostic biomarker in RCC emerges, warranting further investigation and validation of its clinical significance. This comprehensive review provides an overview of the diverse functional roles exhibited by MALAT-1 in RCC.
- MeSH
- karcinom z renálních buněk * genetika patologie MeSH
- lidé MeSH
- nádorové buněčné linie MeSH
- nádorové mikroprostředí genetika MeSH
- nádory ledvin * genetika patologie MeSH
- prognóza MeSH
- proliferace buněk genetika MeSH
- RNA dlouhá nekódující * genetika metabolismus MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Genes carrying high-penetrance germline mutations may also be associated with cancer susceptibility through common low-penetrance genetic variants. To increase the knowledge on genetic pancreatic ductal adenocarcinoma (PDAC) aetiology, the common genetic variability of PDAC familial genes was analysed in our study. We conducted a multiphase study analysing 7745 single nucleotide polymorphisms (SNPs) from 29 genes reported to harbour a high-penetrance PDAC-associated mutation in at least one published study. To assess the effect of the SNPs on PDAC risk, a total of 14 666 PDAC cases and 221 897 controls across five different studies were analysed. The T allele of the rs1412832 polymorphism, that is situated in the CDKN2B-AS1/ANRIL, showed a genome-wide significant association with increased risk of developing PDAC (OR = 1.11, 95% CI = 1.07-1.15, P = 5.25 × 10-9 ). CDKN2B-AS1/ANRIL is a long noncoding RNA, situated in 9p21.3, and regulates many target genes, among which CDKN2A (p16) that frequently shows deleterious somatic and germline mutations and deregulation in PDAC. Our results strongly support the role of the genetic variability of the 9p21.3 region in PDAC aetiopathogenesis and highlight the importance of secondary analysis as a tool for discovering new risk loci in complex human diseases.
Osteoarthritis (OA) is a frequent musculoskeletal disorder affecting millions of people worldwide. Despite advances in understanding the pathogenesis of OA, prognostic biomarkers or effective targeted treatment are not currently available. Research on epigenetic factors has yielded some new insights as new technologies for their detection continue to emerge. In this context, non-coding RNAs, including microRNAs, long non-coding RNAs, circular RNAs, piwi-interacting RNAs, and small nucleolar RNAs, regulate intracellular signaling pathways and biological processes that have a crucial role in the development of several diseases. In this review, we present current knowledge on the role of epigenetic factors with a focus on non-coding RNAs in the development, prediction and treatment of OA. This article is categorized under: RNA in Disease and Development > RNA in Disease.
- MeSH
- kruhová RNA MeSH
- lidé MeSH
- mikro RNA * genetika MeSH
- osteoartróza * genetika MeSH
- Piwi-interagující RNA MeSH
- RNA dlouhá nekódující * genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
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.
- MeSH
- karcinom z renálních buněk * diagnóza genetika chirurgie MeSH
- lidé MeSH
- lokální recidiva nádoru diagnóza genetika chirurgie MeSH
- nádorové biomarkery genetika MeSH
- nádory ledvin * diagnóza genetika chirurgie MeSH
- nefrektomie MeSH
- regulace genové exprese u nádorů MeSH
- RNA dlouhá nekódující * genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Clear cell renal cell carcinoma (ccRCC) is very common and accounts for most kidney cancer deaths. While many studies are being conducted in finding the prognostic signatures of ccRCC, we believe that ferroptosis, which involves programmed cell death dependent on iron accumulation, has therapeutic potential in ccRCC. Recent research has shown that long noncoding RNAs (lncRNAs) are involved in ferroptosis-related tumour processes and are closely related to survival in patients with ccRCC. Hence, in this study we aim to further explore the role of ferroptosis-related lncRNAs (FRLs) in ccRCC, hoping to establish a signature to predict the survival outcome of ccRCC. We analysed transcriptome data from The Cancer Genome Atlas database (TCGA) and ferroptosis-related genes (FRGs) from FerrDb to identify FRLs using Pearson's correlation. Lasso Cox regression analysis and multivariate Cox proportional hazards models screened seventeen optimal FRLs for developing prognostic signatures. Kaplan-Meier survival curves and ROC curves were then plotted for validating the sensitivity, specificity, and accuracy of the identified signatures. Gene Set Enrichment Analysis and CIBERSORT algorithm were deployed to explore the role of these FRLs in the tumour microenvironment. It was concluded that these models demonstrate excellent performance in predicting prognosis among patients with ccRCC, also indicating association with the clinicopathologic parameters such as tumour grade, tumour stage and tumour immune infiltration. In conclusion, our findings provide novel insights into ferroptosis-related lncRNAs in ccRCC, which are important targets for investigating the tumorigenesis of ccRCC.
- MeSH
- ferroptóza * genetika MeSH
- karcinom z renálních buněk * genetika patologie MeSH
- lidé MeSH
- nádorové biomarkery genetika metabolismus MeSH
- nádorové mikroprostředí MeSH
- nádory ledvin * genetika patologie MeSH
- RNA dlouhá nekódující * genetika MeSH
- železo MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Non-small cell lung cancer (NSCLC) results in high mortality and has gained increasing attention. C-Phycocyanin (C-PC) has been identified as a potential therapeutic inhibitor for NSCLC, but its underlying mechanism remains obscure. The gene expression of the long noncoding RNA neighbour of BRCAI RNA 2 (NBR2) in NSCLC cells was evaluated by quantitative reverse transcription-PCR. The cell capacity for proliferation and migration was examined by EdU and wound-healing assays. Furthermore, the viability and apoptosis of cells was measured with CCK-8 and annexin V/PI, respectively. Next, the protein level of activation of adenosine monophosphate- activated protein kinase and the rapamycin kinase (mTOR) signalling pathway-associated molecules was evaluated by western blotting. H292 cells were pre-treated with C-PC or transfected with plasmids encoding NBR2 or the shNBR2 plasmid, to over-express or knock down NBR2 expression, respectively. NBR2 expression was robustly down-regulated in NSCLC cell lines compared with a normal cell line (BEAS-2B). NBR2 over-expression inhibited migration and promoted apoptosis of H292 cells. Treatment of H292 cells with C-PC enhanced NBR2 levels in a dose- and time-dependent manner. Downregulation of NBR2 in H292 cells inhibited the activity of C-PC on cell proliferation, viability and clone formation. Further mechanistic investigation showed that the down-regulation of NBR2 abolished the modulatory effects of C-PC on the AMPK/mTOR signalling pathway. In conclusion, C-PC inhibits H292 cell growth by enhancing the NBR2/AMPK signalling pathway.
- MeSH
- adenosinmonofosfát farmakologie terapeutické užití MeSH
- annexin A5 farmakologie terapeutické užití MeSH
- apoptóza MeSH
- fykokyanin metabolismus farmakologie terapeutické užití MeSH
- lidé MeSH
- nádorové buněčné linie MeSH
- nádory plic * farmakoterapie genetika metabolismus MeSH
- nemalobuněčný karcinom plic * farmakoterapie genetika metabolismus MeSH
- pohyb buněk MeSH
- proliferace buněk MeSH
- proteinkinasy aktivované AMP genetika metabolismus farmakologie MeSH
- RNA dlouhá nekódující * genetika MeSH
- sinkalid metabolismus farmakologie terapeutické užití MeSH
- sirolimus farmakologie terapeutické užití MeSH
- TOR serin-threoninkinasy metabolismus MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
The significance of long non-coding RNAs (lncRNAs) in the development and progression of human cancers has attracted increasing attention in recent years of investigations. Having versatile interactions and diverse functions, lncRNAs can act as oncogenes or tumor-suppressors to actively regulate cell proliferation, survival, stemness, drug resistance, invasion and metastasis. LINC00467, an oncogenic member of long intergenic non-coding RNAs, is upregulated in numerous malignancies and its high expression is often related to poor clinicopathological features. LINC00467 facilitates the progression of cancer via sponging tumor-suppressive microRNAs, inhibiting cell death cascade, modulating cell cycle controllers, and regulating signalling pathways including AKT, STAT3, NF-κB and Wnt/β-catenin. A growing number of studies have revealed that LINC00467 may serve as a novel prognostic biomarker and its inhibitory targeting has a valuable therapeutic potential to suppress the malignant phenotypes of cancer cells. In the present review, we discuss the importance of LINC00467 and provide a comprehensive collection of its functions and molecular mechanisms in a variety of cancer types.
- MeSH
- beta-katenin genetika MeSH
- biologické markery MeSH
- karcinogeneze genetika MeSH
- lidé MeSH
- mikro RNA * genetika MeSH
- nádorové buněčné linie MeSH
- nádory * genetika MeSH
- NF-kappa B MeSH
- onkogeny genetika MeSH
- proliferace buněk genetika MeSH
- protoonkogenní proteiny c-akt genetika MeSH
- regulace genové exprese u nádorů MeSH
- RNA dlouhá nekódující * genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Ixodes ricinus ticks are distributed across Europe and are a vector of tick-borne diseases. Although I. ricinus transcriptome studies have focused exclusively on protein coding genes, the last decade witnessed a strong increase in long non-coding RNA (lncRNA) research and characterization. Here, we report for the first time an exhaustive analysis of these non-coding molecules in I. ricinus based on 131 RNA-seq datasets from three different BioProjects. Using this data, we obtained a consensus set of lncRNAs and showed that lncRNA expression is stable among different studies. While the length distribution of lncRNAs from the individual data sets is biased toward short length values, implying the existence of technical artefacts, the consensus lncRNAs show a more homogeneous distribution emphasizing the importance to incorporate data from different sources to generate a solid reference set of lncRNAs. KEGG enrichment analysis of host miRNAs putatively targeting lncRNAs upregulated upon feeding showed that these miRNAs are involved in several relevant functions for the tick-host interaction. The possibility that at least some tick lncRNAs act as host miRNA sponges was further explored by identifying lncRNAs with many target regions for a given host miRNA or sets of host miRNAs that consistently target lncRNAs together. Overall, our findings suggest that lncRNAs that may act as sponges have diverse biological roles related to the tick-host interaction in different tissues.
- MeSH
- klíště * genetika MeSH
- mikro RNA * genetika MeSH
- nemoci přenášené klíšťaty * MeSH
- RNA dlouhá nekódující * genetika MeSH
- výpočetní biologie MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Východiska: V současné době dosahuje efektivita radioterapie u nádorů rekta přijatelné úrovně pouze u malého počtu pacientů (mají kompletní klinickou odpověď), což je spojeno se vznikem radiorezistence maligních buněk. Komplexní studie, která integruje různé epigenetické parametry, by vysvětlila řadu molekulárních mechanizmů radiorezistence rektálních nádorových buněk a identifikovala seznam nových biomarkerů. V posledním desetiletí byla pomocí vysoce výkonného sekvenování prokázána existence regulační sítě kompetitivně interagujících RNA, skládající se z dlouhých nekódujících RNA, mikroRNA a mRNA. Cíl: Cílem studie bylo analyzovat rysy fungování regulační sítě kompetitivně interagujících RNA u pacientů s karcinomem rekta, kteří jsou radiorezistentní a citliví na radioterapii. Materiál a metody: Studie byla provedena na 500 pacientech s diagnózou karcinomu rekta. Radioterapie byla prováděna na lineárním urychlovači částic Novalis TX podle standardního protokolu (jednorázová fokální dávka 2,4 Gy, celková fokální dávka 54,0 Gy). Preparáty celkové RNA byly izolovány z párových bioptických fragmentů podmíněně normálních a nádorových tkání rekta (získaných videokolonoskopií). Relativní množství transkriptů mRNA, microRNA a lncRNA bylo hodnoceno metodou RT-qPCR. Bioinformatická analýza byla použita ke stanovení pravděpodobnosti potenciálních interakcí mezi zkoumanou mRNA, mikroRNA a lncRNA. Ukázalo se, že účinnost radioterapie závisí na úrovni exprese mikroRNA (miRNA-195-5p; miRNA-4257; miRNA-5187-5p; miRNA-149-5p; miRNA-138 -1-3p; miRNA-6798-5p; miRNA-6819-5p; miRNA-4728-5p; miRNA-1249-5p; miRNA-557; miRNA-1273h-5p; miRNA-6737-5p; miRNA-6808-5p; miRNA-3202; miRNA-5195-3p; miRNA-130b-3p) a lncRNA (XIST, HELLPAR, NEAT1 HELLPAR, NEAT1, AC008124.1, LINC01089, LINC01547 a VASH1-AS1), které regulují systém opravy DNA (H2AX a RBBP8) a apoptózu (BCL2). Závěr: Komplexní studium vlastností regulační sítě kompetitivně interagujících RNA a účinnosti radioterapie u nádorů rekta umožnilo stanovit mechanizmy vzniku radiorezistence a její prediktory.
Background: Currently, rectal tumors radiotherapy effectiveness reaches an acceptable level only in a small number of patients (they have a complete clinical response), which is associated with the formation of malignant cells radioresistance. A comprehensive study that integrates various epigenetic parameters would explain a number of molecular mechanisms of rectal tumor cells radioresistance and identify new biomarkers. In the last decade, using high-throughput sequencing, the competitively interacting RNAs regulatory network (long non-coding RNAs, miRNAs and mRNAs) has been shown. Purpose: The aim of the study was to analyze the features of competitively interacting RNAs regulatory network functioning in patients with rectal cancer who are radioresistant and sensitive to radiotherapy. The study was performed on 500 patients with diagnosed rectal cancer. Radiotherapy was performed on a Novalis TX linear particle accelerator according to the standard protocol (single focal dose 2.4 Gy, total focal dose 54.0 Gy). Total RNA preparations were isolated from paired biopsy fragments of tumor and non-tumor tissues of the rectum (obtained by video-colonoscopy). The relative abundance of mRNA, miRNA and lncRNA transcripts was assessed by the RT-qPCR method. Using bioinformatic analysis, the probability of potential interactions between the investigated mRNA, miRNA and lncRNA was determined. It has been shown that the effectiveness of radiotherapy depends on the level of miRNA (miRNA-195-5p; miRNA-4257; miRNA-5187-5p; miRNA-149-5p; miRNA-138 -1-3p; miRNA-6798-5p; miRNA-6819-5p; miRNA-4728-5p; miRNA-1249-5p; miRNA-557; miRNA-1273h-5p; miRNA-6737-5p; miRNA-6808-5p; miRNA-3202; miRNA-5195-3p; miRNA-130b-3p) and lncRNA (XIST, HELLPAR, NEAT1, AC008124. 1, LINC01089, LINC01547, and VASH1-AS1) expression, which regulate the DNA repair system (H2AX, RBBP8) and apoptosis (BCL2). Conclusion: A comprehensive study of competitively interacting RNAs regulatory network and radiotherapy effectiveness of rectal tumors made it possible to establish the mechanisms of radioresistance formation and its biomarkers.
Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1), originally described as a prognostic biomarker remarkably linked with metastasis potential in lung cancer, has been identified as contributing to many diseases, including colorectal cancer (CRC). This long non-coding RNA (lncRNA) has come to the forefront of lncRNA research for its implications in cancer-related processes, such as cell proliferation and migration. In general, lncRNAs are recognized as enhancers, scaffolds, or decoys for a variety of oncogenes and tumor suppressors, although our understanding of lncRNA functions and mechanisms of action is still limited. Nowadays, cancer research is attracted to lncRNAs' ability to improve the early diagnosis of cancer, determine patients' prognosis, or predict therapy outcomes. In this review, we aimed to evaluate recent publications trying to uncover the cellular mechanisms of MALAT1-mediated regulation, and its potential exploitation in the management of CRC. The conclusions of this review provide robust support for the essential role of MALAT1 in CRC development and future personalized therapy.
- MeSH
- biologické markery MeSH
- kolorektální nádory * diagnóza genetika patologie MeSH
- lidé MeSH
- nádorové buněčné linie MeSH
- prognóza MeSH
- RNA dlouhá nekódující genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
