scholarly journals The Emerging Role of Epitranscriptomics in Cancer: Focus on Urological Tumors

Genes ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 552 ◽  
Author(s):  
João Lobo ◽  
Daniela Barros-Silva ◽  
Rui Henrique ◽  
Carmen Jerónimo
Keyword(s):  
Tumor Model ◽  
The Cancer Genome Atlas ◽  
Dependent Manner ◽  
Rna Molecules ◽  
Disease States ◽  
Physiological Processes ◽  
Cancer Models ◽  
Cancer Genome Atlas ◽  
Urogenital Neoplasms

Epitranscriptomics has gained ground in recent years, especially after the advent of techniques for accurately studying these mechanisms. Among all modifications occurring in RNA molecules, N6-methyladenosine (m6A) is the most frequent, especially among mRNAs. m6A has been demonstrated to play important roles in many physiological processes and several disease states, including various cancer models (from solid to liquid tumors). Tumor cells’ epitranscriptome is indeed disrupted in a way to promote cancer-prone features, by means of up/downregulating m6A-related players: the so-called writers, readers and erasers. These proteins modulate m6A establishment, removal and determine mRNAs fate, acting in a context-dependent manner, so that a single player may act as an oncogenic signal in one tumor model (methyltransferase like 3 (METTL3) in lung cancer) and as a tumor suppressor in another context (METTL3 in glioblastoma). Despite recent advances, however, little attention has been directed towards urological cancer. By means of a thorough analysis of the publicly available TCGA (The Cancer Genome Atlas) database, we disclosed the most relevant players in four major urogenital neoplasms—kidney, bladder, prostate and testicular cancer—for prognostic, subtype discrimination and survival purposes. In all tumor models assessed, the most promising player was shown to be Vir like m6A methyltransferase associated (VIRMA), which could constitute a potential target for personalized therapies.

PDIA3 Reduce Glioma-associated Macrophage/microglia Pro-tumor Activation trough IL-6-STAT3-PDIA3 Pathway.

2020 ◽  
Author(s):  
Marta Chiavari ◽  
Gabriella Maria Pia Ciotti ◽  
Francesco Canonico ◽  
Fabio Altieri ◽  
Pierluigi Navarra ◽  
...  
Keyword(s):  
Overall Survival ◽  
Endoplasmic Reticulum ◽  
The Cancer Genome Atlas ◽  
Main Function ◽  
Physiological Processes ◽  
Relevant Role ◽  
Cancer Genome Atlas ◽  
Thiol Oxidoreductase

Abstract Background: Glioblastoma (GB - grade IV glioma) is the most aggressive and common cancer of central nervous system with an overall survival of 14-16 months. The GB tumor microenvironment includes cells of the innate immune system identified as glioma-associated microglia/macrophages (GAMs). It is known that between GAMs and GB cells there is a double interaction, but the role of GAMs is still poorly characterized. The endoplasmic reticulum (ER) protein ERp57, also known as PDIA3, is a thiol oxidoreductase with main function related on glycoprotein folding in endoplasmic reticulum. However, PDIA3 shows different functions. In fact, the various subcellular localizations and binding partners of PDIA3 affect numerous physiological processes and diseases: different regulation and modulation of PDIA3 has been reported in multiple pathologies including neurodegenerative diseases and cancer. Methods: In the present work, we evaluated in both GB cells and microglia-macrophage cells the expression of PDIA3 using specimens collected after surgical from 18 GB patients. In addition, we studied in vitro microglia-glioma interaction to determine the role of PDIA3 in viability and the activation of both GB and microglia cells. The study was carried using PDIA3-silenced T98G cells and/or using a pharmacological inhibitor of PDIA3 activity (Punicalagin-PUN).Results: We initially investigated the role of the PDIA3 in GB survival by inquiring The Cancer Genome Atlas dataset. The results indicated that 352 out of 690 patients reported over-expression of PDIA3, which significantly correlated with a ~55% reduction of overall survival. Subsequently, for the first time, we investigated the PDIA3 expression in the tumor and the nearby parenchyma of 18 GB patients and our data showed a significant upregulation (15% vs 10%) of ERp57/PDIA3 in GAMs of tumor specimens respect the microglia present in parenchyma. In addition, we show that conditioned medium (CMs) obtained from both wild type T98G and PDIA3 silenced T98G induced an activation of microglia cells, but the PDIA3 silenced-T98G CMs significant limited the microglia pro-tumor activation probably through a IL-6-STAT3-PDIA3 dependent mechanism. Conclusion: Our data support the relevant role of PDIA3 expression in GB pathology and link the different activation of microglia to a mechanism a IL-6-STAT3-PDIA3 dependent.

scholarly journals Role of INSL4 Signaling in Sustaining the Growth and Viability of LKB1-Inactivated Lung Cancer

2018 ◽  
Vol 111 (7) ◽  
pp. 664-674 ◽  
Author(s):  
Rongqiang Yang ◽  
Steven W Li ◽  
Zirong Chen ◽  
Xin Zhou ◽  
Wei Ni ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Transcriptome Profiling ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Growth And Survival ◽  
Cancer Genome Atlas ◽  
Lung Adenocarcinomas ◽  
Genome Atlas

Abstract Background The LKB1 tumor suppressor gene is commonly inactivated in non-small cell lung carcinomas (NSCLC), a major form of lung cancer. Targeted therapies for LKB1-inactivated lung cancer are currently unavailable. Identification of critical signaling components downstream of LKB1 inactivation has the potential to uncover rational therapeutic targets. Here we investigated the role of INSL4, a member of the insulin/IGF/relaxin superfamily, in LKB1-inactivated NSCLCs. Methods INSL4 expression was analyzed using global transcriptome profiling, quantitative reverse transcription PCR, western blotting, enzyme-linked immunosorbent assay, and RNA in situ hybridization in human NSCLC cell lines and tumor specimens. INSL4 gene expression and clinical data from The Cancer Genome Atlas lung adenocarcinomas (n = 515) were analyzed using log-rank and Fisher exact tests. INSL4 functions were studied using short hairpin RNA (shRNA) knockdown, overexpression, transcriptome profiling, cell growth, and survival assays in vitro and in vivo. All statistical tests were two-sided. Results INSL4 was identified as a novel downstream target of LKB1 deficiency and its expression was induced through aberrant CRTC-CREB activation. INSL4 was highly induced in LKB1-deficient NSCLC cells (up to 543-fold) and 9 of 41 primary tumors, although undetectable in all normal tissues except the placenta. Lung adenocarcinomas from The Cancer Genome Atlas with high and low INSL4 expression (with the top 10th percentile as cutoff) showed statistically significant differences for advanced tumor stage (P < .001), lymph node metastasis (P = .001), and tumor size (P = .01). The INSL4-high group showed worse survival than the INSL4-low group (P < .001). Sustained INSL4 expression was required for the growth and viability of LKB1-inactivated NSCLC cells in vitro and in a mouse xenograft model (n = 5 mice per group). Expression profiling revealed INSL4 as a critical regulator of cell cycle, growth, and survival. Conclusions LKB1 deficiency induces an autocrine INSL4 signaling that critically supports the growth and survival of lung cancer cells. Therefore, aberrant INSL4 signaling is a promising therapeutic target for LKB1-deficient lung cancers.

scholarly journals Comprehensive Analysis of The Significance of Hypoxia-Related Genes in Ovarian Cancer

2021 ◽  
Author(s):  
Wancheng Zhao ◽  
Lili Yin
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Mesenchymal Transition ◽  
Principal Component ◽  
Vital Role ◽  
The Cancer Genome Atlas ◽  
Consensus Clustering ◽  
Mesenchymal Transition ◽  
Cancer Genome Atlas ◽  
Pca Algorithm

Abstract Background: Hypoxia-related genes have been reported to play important roles in a variety of cancers. However, their roles in ovarian cancer (OC) have remained unknown. The aim of our research was to explore the significance of hypoxia-related genes in OC patients.Methods: In this study, 15 hypoxia-related genes were screened from The Cancer Genome Atlas (TCGA) database to group the ovarian cancer patients using the consensus clustering method. Principal component analysis (PCA) was performed to calculate the hypoxia score for each patient to quantify the hypoxic status. Results: The OC patients from TCGA-OV dataset were divided into two distinct hypoxia statuses (cluster.A and cluster.B) based on the expression level of the 15 hypoxia-related genes. Most hypoxia-related genes were expressed more highly in the cluster.A group than in the cluster.B group. We also found that patients in the cluster.A group exhibited higher expression of immune checkpoint-related genes, epithelial-mesenchymal transition-related genes, and immune activation-related genes, as well as elevated immune infiltrates. PCA algorithm indicated that patients in the cluster.A group had higher hypoxia scores than that in in the cluster.B group.Conclusions: In summary, our research elucidated the vital role of hypoxia-related genes in immune infiltrates of OC. Our investigation of hypoxic status may be able to improve the efficacy of immunotherapy for OC.

scholarly journals Molecular basis of distinct oestrogen responses in endometrial and breast cancer

2019 ◽  
Vol 26 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Eva Baxter ◽  
Karolina Windloch ◽  
Greg Kelly ◽  
Jason S Lee ◽  
Frank Gannon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Transcriptional Activation ◽  
The Cancer Genome Atlas ◽  
Breast Cancers ◽  
Oestrogen Receptor Alpha ◽  
Limited Success ◽  
Cancer Genome Atlas ◽  
Using Data ◽  
Oestrogen Signalling

Up to 80% of endometrial and breast cancers express oestrogen receptor alpha (ERα). Unlike breast cancer, anti-oestrogen therapy has had limited success in endometrial cancer, raising the possibility that oestrogen has different effects in both cancers. We investigated the role of oestrogen in endometrial and breast cancers using data from The Cancer Genome Atlas (TCGA) in conjunction with cell line studies. Using phosphorylation of ERα (ERα-pSer118) as a marker of transcriptional activation of ERα in TCGA datasets, we found that genes associated with ERα-pSer118 were predominantly unique between tumour types and have distinct regulators. We present data on the alternative and novel roles played by SMAD3, CREB-pSer133 and particularly XBP1 in oestrogen signalling in endometrial and breast cancer.

scholarly journals microRNAs Biogenesis, Functions and Role in Tumor Angiogenesis

2020 ◽  
Vol 10 ◽  
Author(s):  
Tiziana Annese ◽  
Roberto Tamma ◽  
Michelina De Giorgis ◽  
Domenico Ribatti
Keyword(s):  
Tumor Angiogenesis ◽  
Vasculogenic Mimicry ◽  
Mirna Biogenesis ◽  
Dependent Manner ◽  
Tumor Initiation ◽  
Rna Molecules ◽  
Angiogenic Switch ◽  
Sprouting Angiogenesis ◽  
And Function

microRNAs (miRNAs) are small non-coding RNA molecules, evolutionary conserved. They target more than one mRNAs, thus influencing multiple molecular pathways, but also mRNAs may bind to a variety of miRNAs, either simultaneously or in a context-dependent manner. miRNAs biogenesis, including miRNA transcription, processing by Drosha and Dicer, transportation, RISC biding, and miRNA decay, are finely controlled in space and time.miRNAs are critical regulators in various biological processes, such as differentiation, proliferation, apoptosis, and development in both health and disease. Their dysregulation is involved in tumor initiation and progression. In tumors, they can act as onco-miRNAs or oncosuppressor-miRNA participating in distinct cellular pathways, and the same miRNA can perform both activities depending on the context.In tumor progression, the angiogenic switch is fundamental. miRNAs derived from tumor cells, endothelial cells, and cells of the surrounding microenvironment regulate tumor angiogenesis, acting as pro-angiomiR or anti-angiomiR.In this review, we described miRNA biogenesis and function, and we update the non-classical aspects of them. The most recent role in the nucleus, as transcriptional gene regulators and the different mechanisms by which they could be dysregulated, in tumor initiation and progression, are treated. In particular, we describe the role of miRNAs in sprouting angiogenesis, vessel co-option, and vasculogenic mimicry. The role of miRNAs in lymphoma angiogenesis is also discussed despite the scarcity of data.The information presented in this review reveals the need to do much more to discover the complete miRNA network regulating angiogenesis, not only using high-throughput computational analysis approaches but also morphological ones.

TNFα signalling predicts poor prognosis of patients with endometrial cancer

2020 ◽  
Vol 41 (8) ◽  
pp. 1065-1073
Author(s):  
Verena Wieser ◽  
Samira Abdel Azim ◽  
Susanne Sprung ◽  
Katharina Knoll ◽  
Johanna Kögl ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Clinical Outcome ◽  
The Cancer Genome Atlas ◽  
Western World ◽  
Low Grade ◽  
Necrosis Factor Alpha ◽  
Cancer Genome Atlas ◽  
Factor Alpha ◽  
The Impact

Abstract Endometrial cancer (EC) is the most common gynaecologic tumour in the Western world. Previous studies have implicated an imbalance of oestrogens and progestogens in the development of most ECs, while the role of low-grade tissue inflammation remains largely unexplored. We investigated the impact of tumour necrosis factor alpha (TNFα), a central mediator of inflammation and spermatogenesis-associated protein 2 (SPATA2), a regulator of TNF receptor signalling, on clinical outcomes in EC. We evaluated TNFA and SPATA2 transcript levels in 239 EC patients and 25 non-malignant control tissues. Findings were validated in a cohort of 332 EC patients from The Cancer Genome Atlas (TCGA). Expression of TNFA and SPATA2 was increased in EC when compared with control tissues (P &lt; 0.001). TNFA expression correlated with SPATA2 expression in non-malignant (P = 0.003, rS = 0.568) and EC tissue (P = 0.005, rS = 0.179). High TNFA and SPATA2 expression were associated with poor recurrence-free survival (RFS; P = 0.049 and P = 0.018) and disease-specific (P = 0.034 and P = 0.002) survival. Increased SPATA2 expression was also associated with decreased overall survival (OS; P = 0.013). In multivariate analysis, both TNFA and SPATA2 were predictors of clinical outcome. The impact of SPATA2 on RFS and OS could be validated in the TCGA cohort. Our study demonstrates that ECs exhibit a TNF signature which predicts clinical outcome. These findings indicate that TNF signalling modulates the course of EC, which could be therapeutically utilized in the future.

scholarly journals Krüppel-Like Factor 7 is a Marker of Aggressive Gastric Cancer and Poor Prognosis

2017 ◽  
Vol 43 (3) ◽  
pp. 1090-1099 ◽  
Author(s):  
Zhonghua Jiang ◽  
Tingting Yu ◽  
Zhining Fan ◽  
Hongmei Yang ◽  
Xin Lin
Keyword(s):  
Gastric Cancer ◽  
Disease Free Survival ◽  
Clinicopathological Characteristics ◽  
The Cancer Genome Atlas ◽  
Strong Negative Correlation ◽  
Functional Studies ◽  
Expression Of Genes ◽  
Cancer Genome Atlas

Background/Aims: Krüppel-like factor (KLF) 7 protein is a member of the KLF transcription factor family, which plays important roles in regulating the expression of genes involved in cell growth, proliferation, differentiation and metabolism. However, the role of KLF7 in gastric cancer (GC) is unknown. The aim of this study is to explore the role of KLF7 in GC and its correlation with clinicopathological characteristics and prognosis of GC patients. Methods: We first systematically evaluated dysregulation of the KLF family in The Cancer Genome Atlas (TCGA) GC database. Then, 252 patients who underwent surgery for GC were enrolled to validate the results from the TCGA. Functional studies were also used to explore the role of KLF7 in GC. Results: In the TCGA database, we found that KLF7 was an independent predictor for survival by both univariate and multivariate analysis (P<0.05). In a validation cohort, KLF7 expression was significantly increased in GC tissues compared with adjacent normal controls (P=0.013). High KLF7 expression correlated with inferior prognostic factors, such as T stage (P=0.022), N stage (P =0.005) and lymphovascular invasion (P=0.009). Furthermore, we observed a strong negative correlation between KLF7 expression and 5-year overall survival and disease-free survival in GC patients (P<0.05). Moreover, our in vitro studies showed a notable decrease in migration in KLF7 knockdown cells. Conclusion: KLF7 has an important role in GC progression, as it inhibits GC cell migration and may serve as a prognostic marker.

scholarly journals Epigenetic Alterations in Oesophageal Cancer: Expression and Role of the Involved Enzymes

2020 ◽  
Vol 21 (10) ◽  
pp. 3522
Author(s):  
Nair Lopes ◽  
Margareta P. Correia ◽  
Rui Henrique ◽  
Carmen Jerónimo
Keyword(s):  
Oesophageal Cancer ◽  
Therapeutic Targets ◽  
Normal Mucosa ◽  
The Cancer Genome Atlas ◽  
Epigenetic Alterations ◽  
Life Threatening ◽  
Cancer Genome Atlas ◽  
In Vitro Data

Oesophageal cancer is a life-threatening disease, accounting for high mortality rates. The poor prognosis of this malignancy is mostly due to late diagnosis and lack of effective therapies for advanced disease. Epigenetic alterations may constitute novel and attractive therapeutic targets, owing to their ubiquity in cancer and their reversible nature. Herein, we offer an overview of the most important studies which compared differences in expression of enzymes that mediate epigenetic alterations between oesophageal cancer and normal mucosa, as well as in vitro data addressing the role of these genes/proteins in oesophageal cancer. Furthermore, The Cancer Genome Atlas database was interrogated for the correlation between expression of these epigenetic markers and standard clinicopathological features. We concluded that most epigenetic players studied thus far are overexpressed in tumours compared to normal tissue. Furthermore, functional assays suggest an oncogenic role for most of those enzymes, supporting their potential as therapeutic targets in oesophageal cancer.

scholarly journals Downstream Neighbor of SON (DONSON) Expression Is Enhanced in Phenotypically Aggressive Prostate Cancers

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3439 ◽  
Author(s):  
Niklas Klümper ◽  
Marthe von Danwitz ◽  
Johannes Stein ◽  
Doris Schmidt ◽  
Anja Schmidt ◽  
...  
Keyword(s):  
Cell Cycle Progression ◽  
Locally Advanced ◽  
Metastatic Potential ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Prostate Cancers ◽  
Migration Capacity

Downstream neighbor of Son (DONSON) plays a crucial role in cell cycle progression and in maintaining genomic stability, but its role in prostate cancer (PCa) development and progression is still underinvestigated. Methods: DONSON mRNA expression was analyzed with regard to clinical-pathological parameters and progression using The Cancer Genome Atlas (TCGA) and two publicly available Gene Expression Omnibus (GEO) datasets of PCa. Afterwards, DONSON protein expression was assessed via immunohistochemistry on a comprehensive tissue microarray (TMA). Subsequently, the influence of a DONSON-knockdown induced by the transfection of antisense-oligonucleotides on proliferative capacity and metastatic potential was investigated. DONSON was associated with an aggressive phenotype in the PCa TCGA cohort, two GEO PCa cohorts, and our PCa TMA cohort as DONSON expression was particularly strong in locally advanced, metastasized, and dedifferentiated carcinomas. Thus, DONSON expression was notably upregulated in distant and androgen-deprivation resistant metastases. In vitro, specific DONSON-knockdown significantly reduced the migration capacity in the PCa cell lines PC-3 and LNCaP, which further suggests a tumor-promoting role of DONSON in PCa. In conclusion, the results of our comprehensive expression analyses, as well as the functional data obtained after DONSON-depletion, lead us to the conclusion that DONSON is a promising prognostic biomarker with oncogenic properties in PCa.

scholarly journals On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles

2013 ◽  
Author(s):  
Ying-Wooi Wan ◽  
Claire Mach ◽  
Genevera I. Allen ◽  
Matthew Anderson ◽  
Zhandong Liu
Keyword(s):  
Ovarian Cancer ◽  
Cancer Survival ◽  
Human Cancer ◽  
The Cancer Genome Atlas ◽  
Detection Algorithms ◽  
Level 3 ◽  
Cancer Genome Atlas ◽  
Ovarian Cancer Survival ◽  
Generation Sequencing

Dysregulated microRNA (miRNA) expression is a well-established feature of human cancer. However, the role of specific miRNAs in determining cancer outcomes remains unclear. Using Level 3 expression data from the Cancer Genome Atlas (TCGA), we identified 61 miRNAs that are associated with overall survival in 469 ovarian cancers profiled by microarray (p<0.01). We also identified 12 miRNAs that are associated with survival when miRNAs were profiled in the same specimens using Next Generation Sequencing (miRNA-Seq) (p<0.01). Surprisingly, only 1 miRNA transcript is associated with ovarian cancer survival in both datasets. Our analyses indicate that this discrepancy is due to the fact that miRNA levels reported by the two platforms correlate poorly, even after correcting for potential issues inherent to signal detection algorithms. Further investigation is warranted.

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