scholarly journals Differential expression of glycosyltransferases identified through comprehensive pan-cancer analysis

2021 ◽  
Author(s):  
Hayley M Dingerdissen ◽  
Jeet Vora ◽  
Edmund Cauley ◽  
Amanda Bell ◽  
Charles Hadley King ◽  
...  
Keyword(s):  
Differential Expression ◽  
Cancer Progression ◽  
Expression Patterns ◽  
Cancer Biomarker ◽  
Orthologous Genes ◽  
Expression Change ◽  
Multimodal Analysis ◽  
The Impact ◽  
Pan Cancer ◽  
Literature Curation

Despite accumulating evidence supporting a role for glycosylation in cancer progression and prognosis, the complexity of the human glycome and glycoproteome poses many challenges to understanding glycosylation-related events in cancer. In this study, a multifaceted genomics approach was applied to analyze the impact of differential expression of glycosyltransferases (GTs) in 16 cancers. An enzyme list was compiled and curated from numerous resources to create a consensus set of GTs. Resulting enzymes were analyzed for differential expression in cancer, and findings were integrated with experimental evidence from other analyses, including: similarity of healthy expression patterns across orthologous genes, miRNA expression, automatically-mined literature, curation of known cancer biomarkers, N-glycosylation impact, and survival analysis. The resulting list of GTs comprises 222 human enzymes based on annotations from five databases, 84 of which were differentially expressed in more than five cancers, and 14 of which were observed with the same direction of expression change across all implicated cancers. 25 high-value GT candidates were identified by cross-referencing multimodal analysis results, including PYGM, FUT6 and additional fucosyltransferases, several UDP-glucuronosyltransferases, and others, and are suggested for prioritization in future cancer biomarker studies. Relevant findings are available through OncoMX at https://data.oncomx.org, and the overarching pipeline can be used as a framework for similarly analysis across diverse evidence types in cancer. This work is expected to improve the understanding of glycosylation in cancer by transparently defining the space of glycosyltransferase enzymes and harmonizing variable experimental data to enable improved generation of data-driven cancer biomarker hypotheses.

scholarly journals Pan-Cancer Analysis Shows TP53 Mutations Modulate the Association of NOX4 with Genetic Programs of Cancer Progression and Clinical Outcome

Antioxidants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 235
Author(s):  
Wei Feng Ma ◽  
Howard E. Boudreau ◽  
Thomas L. Leto
Keyword(s):  
Cancer Progression ◽  
Cancer Metastasis ◽  
Expression Patterns ◽  
Cellular Adhesion ◽  
The Cancer Genome Atlas ◽  
Mrna Levels ◽  
Cancer Dataset ◽  
Mesenchymal Transition ◽  
Tp53 Mutations ◽  
Pan Cancer

Previously, we have shown TGF-β-induced NOX4 expression is involved in the epithelial-to-mesenchymal transition (EMT), a process critical for cancer metastasis, and that wild-type (WT) and mutant (Mut) p53 have divergent effects on TGF-β induction of NOX4: WT-p53 suppresses whereas Mut-p53 augments NOX4 mRNA and protein production in several tumor cell models. We sought to validate and extend our model by analyzing whole-exome data of primary tumor samples in The Cancer Genome Atlas (TCGA). We constructed a Pan-Cancer dataset from 23 tumor types and explored NOX4 expression patterns in relation to EMT and patient survival. NOX4 mRNA levels increase as a function of cancer progression in several cancers and correlate with Mut-p53 mRNA and genes involved in programs of EMT, cellular adhesion, migration, and angiogenesis. Tumor macrophages appear to be a source of NOX2, whose association with genetic programs of cancer progression emulate that of NOX4. Notably, increased NOX4 expression is linked to poorer survival in patients with Mut-TP53, but better survival in patients with WT-TP53. NOX4 is negatively associated with markers of apoptosis and positively with markers of proliferation in patients with Mut-TP53, consistent with their poorer survival. These findings suggest that TP53 mutations could “switch” NOX4 from being protective and an indicator of good prognosis to deleterious by promoting programs favoring cancer progression.

scholarly journals Osteopontin-c isoform levels are associated with SR and hnRNP differential expression in ovarian cancer cell lines

Tumor Biology ◽  
2017 ◽  
Vol 39 (9) ◽  
pp. 101042831772544 ◽  
Author(s):  
Durval Santos Marques ◽  
Jessica Grativol ◽  
Rodrigo Alves da Silva Peres ◽  
Aline da Rocha Matos ◽  
Etel Rodrigues Pereira Gimba
Keyword(s):  
Ovarian Cancer ◽  
Differential Expression ◽  
Cell Lines ◽  
Cancer Progression ◽  
Binding Sites ◽  
Expression Patterns ◽  
Ovarian Cancer Cells ◽  
Splicing Factors ◽  
Expression Levels ◽  
Exon 4

Osteopontin-c splicing isoform activates ovarian cancer progression features. Imbalanced expression of splicing factors from serine/arginine -rich and heterogeneous ribonucleoproteins families has been correlated with the generation of oncogenic splicing isoforms. Our goal was to investigate whether there is any association between the transcriptional patterns of these splicing factors in ovarian cells and osteopontin-c expression levels. We also aimed to investigate the occurrence of these splicing factors binding sites inside osteopontin exon 4 and adjacent introns. To test associations between osteopontin-c and splicing factors expression patterns, we used an in vitro model in which OVCAR-3 cells overexpressing osteopontin-c (OVCAR-3/OPNc++) presented higher transcriptional levels of osteopontin-c than two other ovarian carcinoma cells (TOV-112D, SKOV-3) and ovarian non-tumoral cell lines (IOSE 364 and IOSE 385). The transcriptional levels of osteopontin-c, serine/arginine-rich, and hnRNP factors were evaluated using real-time polymerase chain reaction. Human Splice Finder software was used to search for putative splicing factor binding sites in osteopontin genomic regions. OVCAR-3/OPNc++ cells presented higher transcriptional levels of hnRNP than serine/arginine-rich when compared to TOV-112D, SKOV-3, and IOSE cells. TOV-112D and SKOV-3 cells also overexpressed hnRNP in relation to serine/arginine-rich transcripts. Putative binding sites for these splicing factors have been predicted on osteopontin exon 4 and their upstream and downstream intronic regions. Our data showed that higher osteopontin-c expression levels are associated with a predominance of hnRNP in relation to serine/arginine-rich transcripts and that osteopontin exon 4 and adjacent intronic sequences contain predicted binding sites for some of these tested splicing factors. In conclusion, differential expression of these splicing factors in ovarian cancer cells could be one of the putative mechanisms leading to aberrant splicing of the osteopontin primary transcript. Future work, aiming to control ovarian cancer progression by downregulating osteopontin-c levels, could include strategies that also regulate heterogeneous ribonucleoproteins and serine/arginine-rich expression levels in order to modulate osteopontin splicing.

BIOM-37. ELUCIDATION OF THE TRANSCRIPTOMIC CONSEQUENCES OF KLF4 AND TRAF7 MUTATIONS IN SECRETORY MENINGIOMAS

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi19-vi19
Author(s):  
Signe Michaelsen ◽  
Paul Cloos ◽  
Helle Broholm ◽  
Jens Johansen ◽  
Ulvi Ahmedov ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cancer Progression ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Background Level ◽  
P Value ◽  
Surgical Removal ◽  
Gene Expressions ◽  
Tert Promoter ◽  
Pan Cancer

Abstract Secretory meningioma (SM) is a benign histological meningioma subtype frequently located in the central skull-base, complicating surgical removal, highlighting the need of gentle targeting treatment alternatives. SM tumors arise from the arachnoid layer in the meninges and are associated with a hotspot p.K409Q mutation in KLF4 combined with different mutations in TRAF7. The objective of this study was to identify how KLF4 and TRAF7 mutations alter signaling in SM tumors. The study includes 16 FFPE samples from SM tumors and three arachnoid cysts as normal-tissue reference. All tissues were histologically confirmed, followed by genomic sequencing of KLF4, TRAF7, NF2 and TERT-promoter (C220T/C228T) using a customized NGS panel. Gene expression profiles were analyzed using NanoString Pan-cancer Progression and Pan-cancer Pathways panels, which resulted in measurement of 1,202 unique transcripts over background level. All 16 SM tumors presented the KLF4p.K409Q mutation, of which 12 had mutation in TRAF7 (four being p.N520S), while no cysts had mutations in these genes. Neither tumors nor cysts had NF2 or TERT-promoter mutations. PCA analysis showed different RNA expression profiles for SM tumors and cysts, while TRAF7 mutation was without influence on the overall gene expression patterns in the tumors. Sub-analysis found increased KLF4 expression in TRAF7-mutated SM tumors versus non-mutated tumors and cysts at the RNA level, while TRAF7 expression was stable in all samples. In total 98 genes were found differentially expressed (54 up- and 44 downregulated) with a log2-fold change over 1 and an adjusted p-value under 0.05 in tumors versus cysts. Further analyses are planned to explore and validate these results. In conclusion, we find that the KLF4p.K409Q mutation correlates more strongly with SM histology, than the TRAF7 mutation, and that SM tumors have gene expressions profiles that are distinct from normal arachnoid tissue for a number of disease relevant genes.

scholarly journals Identification of Key Differentially Expressed MicroRNAs in Cancer Patients Through Pan-cancer Analysis

2018 ◽  
Author(s):  
Yu Hu ◽  
Hayley Dingerdissen ◽  
Samir Gupta ◽  
Robel Kahsay ◽  
Vijay Shanker ◽  
...  
Keyword(s):  
Differential Expression ◽  
Cancer Progression ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Literature Mining ◽  
Wide Range ◽  
Cancer Types

AbstractA number of microRNAs (miRNAs) functioning in gene silencing have been associated with cancer progression. However, common expression patterns of abnormally expressed miRNAs and their potential roles in multiple cancer types have not yet been evaluated. To minimize the difference of patients, we collected miRNA sequencing data of 575 patients with tumor and adjacent non-tumorous tissues from 14 cancer types from The Cancer Genome Atlas (TCGA), and performed differential expression analysis using DESeq2 and edgeR. The results showed that cancer types can be grouped based on the distribution of miRNAs with different expression patterns. We found 81 significantly differentially expressed miRNAs (SDEmiRNAs) unique to one of the 14 cancers may affect patient survival rate, and 21 key SDEmiRNAs (nine overexpressed and 12 under-expressed) associated with at least eight cancers and enriched in more than 60% of patients per cancer, including four newly identified SDEmiRNAs (hsa-mir-4746, hsa-mir-3648, hsa-mir-3687, and hsa-mir-1269a). The downstream effect of these 21 SDEmiRNAs on cellular functions was evaluated through enrichment and pathway analysis of 7,186 protein-coding gene targets from literature mining with known differential expression profiles in cancers. It enables identification of their functional similarity in cell proliferation control across a wide range of cancers and to build common regulatory networks over cancer-related pathways. This is validated by construction of a regulatory network in PI3K pathway. This study provides evidence of the value of further analysis on SDEmiRNAs as potential biomarkers and therapeutic targets for cancer diagnosis and treatment.

scholarly journals Biological Aggressiveness of Subclinical No-Mass Ductal Carcinoma In Situ (DCIS) Can Be Reflected by the Expression Profiles of Epithelial-Mesenchymal Transition Triggers

2018 ◽  
Vol 19 (12) ◽  
pp. 3941 ◽  
Author(s):  
Bartlomiej Szynglarewicz ◽  
Piotr Kasprzak ◽  
Piotr Donizy ◽  
Przemyslaw Biecek ◽  
Agnieszka Halon ◽  
...  
Keyword(s):  
Cancer Progression ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Mesenchymal Transition ◽  
Single Positive ◽  
The Impact

Epithelial-mesenchymal transitions (EMTs) have been recently implicated in the process of cancer progression. The aim of this study was to assess how the preoperative expression patterns of EMT biomarkers correlate with the risk of postoperative invasion in ductal carcinoma in situ (DCIS) found on stereotactic breast biopsies. N-cadherin, Snail1, and secreted protein acidic and rich in cysteine (SPARC) immunoreactivity was observed in 8%, 62%, and 38% of tumors, respectively. Snail1 and SPARC expressions were significantly related to N-cadherin expression and to each other. The postoperative upgrading rate was associated with a positive preoperative expression of all biomarkers. Significance of Snail1 and SPARC persisted in multivariate analysis, but the impact of SPARC on invasion was more significant. When these two EMT triggers were considered together, the risk of invasion did not significantly differ between the subtypes of DCIS with single positive expression (SPARC−/Snail1+ vs. SPARC+/Snail1−). However, it was significantly lower in single-positive DCIS when compared to lesions of a double-positive profile (SPARC+/Snail1+). Moreover, there were no cases in the double-negative DCIS (SPARC−/Snail1−), with foci of infiltrating cancer found postoperatively in residual postbiopsy lesions. In contrast, DCIS with a combined high SPARC and Snail1 expression (intermediate or strong) had an invasive component in 66–100% of tumors.

The Predominant microRNAs in β-cell Clusters for Insulin Regulation and Diabetic Control

2020 ◽  
Vol 21 (7) ◽  
pp. 722-734
Author(s):  
Adele Soltani ◽  
Arefeh Jafarian ◽  
Abdolamir Allameh
Keyword(s):  
Mirna Expression ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Diabetic Control ◽  
In Vitro Proliferation ◽  
Cell Functions ◽  
Mirna Expression Profiles ◽  
Multiple Processes ◽  
The Impact

micro (mi)-RNAs are vital regulators of multiple processes including insulin signaling pathways and glucose metabolism. Pancreatic β-cells function is dependent on some miRNAs and their target mRNA, which together form a complex regulative network. Several miRNAs are known to be directly involved in β-cells functions such as insulin expression and secretion. These small RNAs may also play significant roles in the fate of β-cells such as proliferation, differentiation, survival and apoptosis. Among the miRNAs, miR-7, miR-9, miR-375, miR-130 and miR-124 are of particular interest due to being highly expressed in these cells. Under diabetic conditions, although no specific miRNA profile has been noticed, the expression of some miRNAs and their target mRNAs are altered by posttranscriptional mechanisms, exerting diverse signs in the pathobiology of various diabetic complications. The aim of this review article is to discuss miRNAs involved in the process of stem cells differentiation into β-cells, resulting in enhanced β-cell functions with respect to diabetic disorders. This paper will also look into the impact of miRNA expression patterns on in vitro proliferation and differentiation of β-cells. The efficacy of the computational genomics and biochemical analysis to link the changes in miRNA expression profiles of stem cell-derived β-cells to therapeutically relevant outputs will be discussed as well.

Analysis of the Differential Expression Patterns of Sumoylation Enzymes E1, E2 and E3 in Ocular Cell Lines

2019 ◽  
Vol 18 (8) ◽  
pp. 509-515 ◽  
Author(s):  
Qian Nie ◽  
Jie Xie ◽  
Xiaodong Gong ◽  
Zhongwen Luo ◽  
Ling Wang ◽  
...  
Keyword(s):  
Differential Expression ◽  
Cell Lines ◽  
Expression Patterns

scholarly journals Pre-treatment clinical and gene expression patterns predict developmental change in early intervention in autism

2021 ◽  
Author(s):  
Michael V. Lombardo ◽  
Elena Maria Busuoli ◽  
Laura Schreibman ◽  
Aubyn C. Stahmer ◽  
Tiziano Pramparo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Treatment Outcome ◽  
Early Intervention ◽  
Developmental Change ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Time In Treatment ◽  
Pre Treatment ◽  
Blood Leukocyte ◽  
The Impact

AbstractEarly detection and intervention are believed to be key to facilitating better outcomes in children with autism, yet the impact of age at treatment start on the outcome is poorly understood. While clinical traits such as language ability have been shown to predict treatment outcome, whether or not and how information at the genomic level can predict treatment outcome is unknown. Leveraging a cohort of toddlers with autism who all received the same standardized intervention at a very young age and provided a blood sample, here we find that very early treatment engagement (i.e., <24 months) leads to greater gains while controlling for time in treatment. Pre-treatment clinical behavioral measures predict 21% of the variance in the rate of skill growth during early intervention. Pre-treatment blood leukocyte gene expression patterns also predict the rate of skill growth, accounting for 13% of the variance in treatment slopes. Results indicated that 295 genes can be prioritized as driving this effect. These treatment-relevant genes highly interact at the protein level, are enriched for differentially histone acetylated genes in autism postmortem cortical tissue, and are normatively highly expressed in a variety of subcortical and cortical areas important for social communication and language development. This work suggests that pre-treatment biological and clinical behavioral characteristics are important for predicting developmental change in the context of early intervention and that individualized pre-treatment biology related to histone acetylation may be key.

scholarly journals Differential expression and correlation analysis of miRNA–mRNA profiles in swine testicular cells infected with porcine epidemic diarrhea virus

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaoqian Zhang ◽  
Chang Li ◽  
Bingzhou Zhang ◽  
Zhonghua Li ◽  
Wei Zeng ◽  
...  
Keyword(s):  
Differential Expression ◽  
Porcine Epidemic Diarrhea Virus ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Bacterial Invasion ◽  
Sequencing Data ◽  
Diarrhea Virus ◽  
Comparison Groups ◽  
Porcine Epidemic Diarrhea

AbstractThe variant virulent porcine epidemic diarrhea virus (PEDV) strain (YN15) can cause severe porcine epidemic diarrhea (PED); however, the attenuated vaccine-like PEDV strain (YN144) can induce immunity in piglets. To investigate the differences in pathogenesis and epigenetic mechanisms between the two strains, differential expression and correlation analyses of the microRNA (miRNA) and mRNA in swine testicular (ST) cells infected with YN15, YN144, and mock were performed on three comparison groups (YN15 vs Control, YN144 vs Control, and YN15 vs YN144). The mRNA and miRNA expression profiles were obtained using next-generation sequencing (NGS), and the differentially expressed (DE) (p-value < 0.05) mRNA and miRNA were obtained using DESeq R package. mRNAs targeted by DE miRNAs were predicted using the miRanda algortithm. 8039, 8631 and 3310 DE mRNAs, and 36, 36, and 22 DE miRNAs were identified in the three comparison groups, respectively. 14,140, 15,367 and 3771 DE miRNA–mRNA (targeted by DE miRNAs) interaction pairs with negatively correlated expression patterns were identified, and interaction networks were constructed using Cytoscape. Six DE miRNAs and six DE mRNAs were randomly selected to verify the sequencing data by real-time relative quantitative reverse transcription polymerase chain reaction (qRT-PCR). Based on bioinformatics analysis, we discovered the differences were mostly involved in host immune responses and viral pathogenicity, including NF-κB signaling pathway and bacterial invasion of epithelial cells, etc. This is the first comprehensive comparison of DE miRNA–mRNA pairs in YN15 and YN144 infection in vitro, which could provide novel strategies for the prevention and control of PED.

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