Gene Expression In Colorectal Cancer Research Articles

Pharmacologically targeting tribbles gene expression in colorectal cancer

Abstract Background TRIB1, TRIB2 and TRIB3 belong to the mammalian Tribbles family of pseudokinases proteins. Several studies reported Tribbles oncogenic role in different types of cancer, including colorectal cancer (CRC). Though current CRC treatment can be curative, patients are in risk of disease recurrence, meaning novel pharmacological targets and strategies are required. Our goal was to analyze Tribbles gene expression in CRC in response to different drugs. Methods Tribbles transcript levels were obtained from GEO profiles database (NCBI). Gene data sets (GDS) were selected based on experimental drug treatment description. Statistical analysis was performed at GraphPadPrism. Results Compared to non-treated control, TRIB2 expression was ∼2-fold increased in colorectal adenocarcinoma samples from patients treated with cyclooxygenase-2 inhibitor celecoxib (GDS3384), though not statistically significant (P < 0.1). TRIB1 was unaltered and data for TRIB3 was not available. By contrast, all Tribbles showed differential expression after treatment of SW620 colon cancer cells with supercritical rosemary extract in progressive increasing doses (0, 30, 60, 100 μg/mL) (P < 0.01;GDS5416). While both TRIB1 and TRIB3 were moderately increased in a dose-dependent manner (∼18% and 13%, respectively), TRIB2 was maximally down-regulated by ∼15% after 60 μg/mL. Conclusions Although celecoxib exhibits antiproliferative effects in different cancer cell types, TRIB2 gene expression showed a trend to be induced after treatment, in contrast to several genes involved in fatty acid oxidation that were down-regulated, which could result from a compensatory mechanism based on a metabolic shift. Since TRIB1/TRIB3 and TRIB2 were oppositely modulated in response to rosemary extract, additional studies are needed to validate its specific pharmacological potential interest for CRC treatment.

Transcriptome profiling by combined machine learning and statistical R analysis identifies TMEM236 as a potential novel diagnostic biomarker for colorectal cancer

Colorectal cancer (CRC) is a common cause of cancer-related deaths worldwide. The CRC mRNA gene expression dataset containing 644 CRC tumor and 51 normal samples from the cancer genome atlas (TCGA) was pre-processed to identify the significant differentially expressed genes (DEGs). Feature selection techniques Least absolute shrinkage and selection operator (LASSO) and Relief were used along with class balancing for obtaining features (genes) of high importance. The classification of the CRC dataset was done by ML algorithms namely, random forest (RF), K-nearest neighbour (KNN), and artificial neural networks (ANN). The significant DEGs were 2933, having 1832 upregulated and 1101 downregulated genes. The CRC gene expression dataset had 23,186 features. LASSO had performed better than Relief for classifying tumor and normal samples through ML algorithms namely RF, KNN, and ANN with an accuracy of 100%, while Relief had given 79.5%, 85.05%, and 100% respectively. Common features between LASSO and DEGs were 38, from them only 5 common genes namely, VSTM2A, NR5A2, TMEM236, GDLN, and ETFDH had shown statistically significant survival analysis. Functional review and analysis of the selected genes helped in downsizing the 5 genes to 2, which are VSTM2A and TMEM236. Differential expression of TMEM236 was statistically significant and was markedly reduced in the dataset which solicits appreciation for assessment as a novel biomarker for CRC diagnosis.

Molecular Analysis of rs2910164 Polymorphism and its Association with TNF-α Gene Expression in Colorectal Cancer

Background: Colorectal cancer (CRC) is one of the most common malignant tumors in the world, which has been introduced as the third most common cancer and the third leading cause of death. This cancer is uncommon before the age of 50. Its prognosis is controversial, and many studies report a poor prognosis in older patients, and the others show no difference. In addition to the factors, such as diet, environmental factors, somatic, and hereditary mutations, genetic factors, including altered expression of some microRNAs and mutations in tumor necrosis factor-α (TNF-α) gene, may be involved in CRC. Objectives: This study aimed to investigate the rs2910164 polymorphism from the miRNA146a gene and its association with the expression of TNF-α gene in CRC before and after the age of 50 for early diagnosis and treatment. Methods: In this study, 65 formalin-fixed paraffin-embedded (FFPE) tissue samples from patients with cancerous lesions of colorectal tissue (37 cases over 50 years were considered as the case group and 28 cases under 50 years were considered as the control group). DNA was extracted from the samples, and rs2910164 polymorphism of the miRNA146a gene was investigated by PCR. Moreover, RNA was extracted from the samples, and the expression of the miRNA146a and TNF-α genes were evaluated. Finally, Epi Info software version 7.1.3.10 and MedCalc Version 19.2.0 were used for data analysis. Results: The frequency of GG, GC, and CC genotypes from rs2910164 polymorphism of miRNA146a gene in the control group was 0.29, 0.46, and 0.25, respectively, but in the case group, it was 0.54, 0.38, and 0.08, respectively. The results also showed that the expression of miRNA146a (P = 0.00006) and TNF-α (P = 0.009) genes was higher in the case group than in the control group. Conclusions: Based on the results of this study, a significant correlation was found between GG genotype and rs2910164 polymorphism of miRNA146a gene and TNF-α gene expression in the CRC samples. Therefore, investigation of these factors may be helpful in patients with CRC over 50 years.

Microbiome signature, global methylation and immune landscape in early onset colorectal cancer.

3519 Background: The incidence of colorectal cancer (CRC) in young adults ( < 50 years old) has been rapidly increasing by 2% per year since early 1990. Approximately 20% of early-onset (EO) CRC cases are due to germline gene mutations. However, the etiology of sporadic EO CRC remains poorly understood. Research suggests that environmental factors such as the Western diet (high in fat and low in fiber) may be associated with an increased incidence of sporadic EO CRC. The gut microbiota decompose and ferment dietary fibers to produce microbial metabolites, which play pivotal roles in maintaining the integrity of intestinal epithelium as well as the immune cell homeostasis. Also, these microbial metabolites may influence the host epigenome by altering either the activity of epigenetic enzymes or by modifying the availability of cofactors needed for epigenetic modifications. The aim of our research is to associate intratumoral microbiota with methylation pattern and immune cell composition in EO CRC. Methods: A total of 358 CRC cases, including 54 cases of EO CRC (age < 50 years) and 304 cases of late onset (LO) CRC (age ≥ 50 years), with matched methylation array (Infinium HM450), RNA-sequencing (Illumina HiSeq) from colon adenocarcinomas (COAD) and rectal adenocarcinomas (READ), and clinicopathological information of each patient, were extracted from the Cancer Genome Atlas (TCGA). We characterized and compared the intra-tumoral microbiota composition, tumor-infiltrating lymphocytes (TILs), and methylation profile between EO and LO CRC. Results: We found that there is a distinct microbial distribution, gene expression and methylation pattern in the EO CRC when compared with LO CRC. Non-human sequences from several kingdoms including bacteria, fungi and viruses were found and the incidences were consistent with reported values by other methods, e.g. Fusobacterium incidence. The EO CRC cases showed global hypomethylation, even though hypermethylation pattern is expected in the young chronological age group (known as Horvath’s clock). Pathway overrepresentation analysis of differentially expressed genes showed significant activation of p53 and pentose phosphate pathways and de novo nucleotide synthesis in EO CRC. Integration across datasets showed positive correlations between microbes and inflammasome pathway, positive correlation with regulatory T cells (Tregs), and negative correlations with CD4 memory T cells. Conclusions: These data suggest a mechanism by which the colorectal cancer-associated microbiota may be associated with epigenetic regulation and host immune response.

Non-collagenous extracellular matrix protein dermatopontin may play a role as another component of transforming growth factor-β signaling pathway in colon carcinogenesis.

Objective(s):Dermatopontin (DPT) is an extracellular matrix protein that plays roles in increasing the activity of transforming growth factor-β (TGF-β) and induction of cell quiescence. These roles suggest a tumor suppressor function for DPT. This study aimed to investigate changes in DPT gene expression in colorectal cancer providing a better understanding of its carcinogenesis.Materials and Methods:We used Matched Tumor/Normal Expression Array and Cancer Profiling Arrays I containing 34 and 7 cases of colorectal cancer and their matched controls, respectively, to test DPT expression. In addition, 38 newly diagnosed cases of colorectal cancer were enrolled and their fresh colonic tumoral and normal specimens were obtained. DPT mRNA expression was analyzed using real-time PCR. In cases with DPT under expression, exonic regions of the DPT gene were sequenced using the Sanger method.Results:In array samples, DPT expression was decreased in 82.9% (34/41), increased in 12.2% (5/41), and had no changes in 4.9% (2/41). DPT was decreased in 14 fresh samples (36.8%), while 12 cases (31.6%) showed overexpression and the others had no changes. DPT expression showed no significant difference among various tumor grades and stages. The frequencies of DPT overexpression were higher in tumors having lymph node involvement (47.7% vs 28%, P=0.59). In 2 cases mutations were detected that may be responsible for decreased expression of DPT.Conclusion:The similarities between changing patterns of DPT and TGF-β expression in colorectal cancer demonstrate that DPT may act as a pre-receptor component of the TGF-β signaling pathway in colon carcinogenesis.

Metabolic and hormonal remodeling of colorectal cancer cell signalling by diabetes.

The existence of molecular links that facilitate colorectal cancer (CRC) development in the population with type 2 diabetes (T2D) is supported by substantial epidemiological evidence. This review summarizes how the systemic, metabolic and hormonal imbalances from T2D alter CRC cell metabolism, signalling and gene expression as well as their reciprocal meshing, with an overview of CRC molecular subtypes and animal models to study the diabetes-CRC cancer links. Metabolic and growth factor checkpoints ensure a physiological cell proliferation rate compatible with limited nutrient supply. Hyperinsulinaemia and hyperleptinaemia in prediabetes and excess circulating glucose and lipids in T2D overcome formidable barriers for tumour development. Increased nutrient availability favours metabolic reprogramming, alters signalling and generates mutations and epigenetic modifications through increased reactive oxygen species and oncometabolites. The reciprocal control between metabolism and hormone signalling is lost in diabetes. Excess adipose tissue at the origin of T2D unbalances adipokine (leptin/adiponectin) secretion ratios and function and disrupts the insulin/IGF axes. Leptin/adiponectin imbalances in T2D are believed to promote proliferation and invasion of CRC cancer cells and contribute to inflammation, an important component of CRC tumourigenesis. Disruption of the insulin/IGF axes in T2D targets systemic and CRC cell metabolic reprogramming, survival and proliferation. Future research to clarify the molecular diabetes-CRC links will help to prevent CRC and reduce its incidence in the diabetic population and must guide therapeutic decisions.

Aberrant expression of m6A mRNA methylation regulators in colorectal adenoma and adenocarcinoma

BackgroundAs the most prevalent post-transcriptional mRNA modification in eukaryotes, N6-Methyladenosine (m6A) is closely linked to the occurrence and development of colorectal cancer (CRC). However, there is no systematic evaluation of the expression of m6A regulatory genes in CRC. MethodsBy analyzing the TCGA database, we identified METTL3, YTHDF1, IGF2BP1, IGF2BP3, EIF3B, HNRNPA2B1 as overexpressed m6A regulators in CRC. After verification by immunohistochemistry (IHC) in 10 CRC cases, YTHDF1, IGF2BP1, IGF2BP3, and EIF3B were identified as potential biomarkers in CRC. Further validation was done by IHC and qRT-PCR in two larger cohorts. ResultsWe identified 6 up-regulated m6A regulatory genes in CRC in TCGA analysis, and verified that YTHDF1, IGF2BP1, IGF2BP3, and EIFB3 were all significantly differentially expressed between CRC and normal tissues by IHC (p < 0.0001). In another larger cohort, we further validated the overexpression of those genes in CRC as compared to both normal tissues (p < 0.0001) and adenoma tissues (p < 0.05). Detailed analysis suggested that detection of one of the three genes, YTHDF1, IGF2BP1 and IGF2BP3, and combined detection of EIF3B gene could be a good strategy for early diagnosis of both CRC and precancerous lesions. Furthermore, we found that the mRNA levels of YTHDF1, IGF2BP1, and IGF2BP3 were also significantly up-regulated in CRC but not adenoma as compared to normal tissues. ConclusionWe evaluted the abnormal expression of m6A regulatory genes during CRC carcinogenesis, and identified four m6A genes (YTHDF1, IGF2BP1, IGF2BP3, and EIF3B) as potential biomarkers of both CRC and adenoma.

Integrative Transcriptomic Network Analysis of Butyrate Treated Colorectal Cancer Cells.

Simple SummaryHigh-fiber diets are known to protect against colorectal cancer (CRC), largely through the influence of butyrate, which is generated by the colonic microbiota. To better understand how dietary butyrate prevents colorectal cancer, a systems biology approach was used to define the transcriptomic responses of butyrate-treated CRC cells. Butyrate altered the expression and/or splicing of thousands of genes. Through the integration of microRNA and mRNA datasets, molecular interaction networks were generated that identified key components of the butyrate response and facilitated bioinformatic predictions of butyrate-induced changes in cellular activity. Moreover, two butyrate-regulated microRNAs identified through this analysis were shown to enhance the effect of butyrate on cellular proliferation and apoptosis. These results help create a framework for identifying novel drug targets that may act in concert with histone deacetylase inhibitors, such as butyrate, to prevent or treat cancers.Diet-derived histone deacetylase inhibitor (HDACi), butyrate, alters global acetylation and consequently global gene expression in colorectal cancer (CRC) cells to exert its anticancer effects. Aberrant microRNA (miRNA) expression contributes to CRC development and progression. Butyrate-mediated modulation of microRNA (miRNA) expression remains under-investigated. This study employed a systems biology approach to gain a comprehensive understanding of the complex miRNA-mRNA interactions contributing to the butyrate response in CRC cells. Next-generation sequencing, gene ontology (GO) and pathway enrichment analyses were utilized to reveal the extent of butyrate-mediated gene regulation in CRC cells. Changes in cell proliferation, apoptosis, the cell cycle and gene expression induced by miRNAs and target gene knockdown in CRC cells were assessed. Butyrate induced differential expression of 113 miRNAs and 2447 protein-coding genes in HCT116 cells. Butyrate also altered transcript splicing of 1589 protein-coding genes. GO, and pathway enrichment analyses revealed the cell cycle to be a central target of the butyrate response. Two butyrate-induced miRNAs, miR-139 and miR-542, acted cooperatively with butyrate to induce apoptosis and reduce CRC cell proliferation by regulating target genes, including cell cycle-related EIF4G2 and BIRC5. EIF4G2 RNA interference mimicked the miR-139-mediated reduction in cell proliferation. The cell cycle is a critical pathway involved in the butyrate response of CRC cells. These findings reveal novel roles for miRNAs in the cell cycle-related, anticancer effects of butyrate in CRC cells.

A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer.

The tumor immune microenvironment of colorectal cancer (CRC) affects tumor development, prognosis and immunotherapy strategies. Recently, immune-related lncRNA were shown to play vital roles in the tumor immune microenvironment. The objective of this study was to identify lncRNAs involved in the immune response, tumorigenesis and progression of CRC and to establish an immune-related lncRNA signature for predicting the prognosis of CRC. We used data retrieved from the cancer genome atlas (TCGA) dataset to construct a 10-gene immune-related lncRNA pair (IRLP) signature model using a method based on the ranking and comparison of paired gene expression in CRC. The clinical prognosis, immune checkpoints and lncRNA-protein networks were analyzed to evaluate the signature. The signature was closely associated with overall survival of CRC patients (p < 0.001 in both of the training and validating cohorts) and the 3-year AUC values for the training and validating cohorts were 0.884 and 0.739, respectively. And, there were positive correlations between the signature and age (p = 0.048), clinical stage (p < 0.01), T stage (p < 0.01), N stage (p < 0.001) and M stage (p < 0.01). In addition, the signature model appeared to be highly relevant to some checkpoints, including CD160, TNFSF15, HHLA2, IDO2 and KIR3DL1. Further, molecular functional analysis and lncRNA-protein networks were applied to understand the molecular mechanisms underlying the carcinogenic effect and progression. The 10-gene IRLP signature model is an independent prognostic factor for CRC patient and can be utilized for the development of immunotherapy.

Bioinformatics Analysis Identifies a Novel Role of GINS1 Gene in Colorectal Cancer.

BackgroundColorectal cancer (CRC) is one of the most lethal malignancies and the incidence of CRC has been on the rise. Herein, we aimed to identify effective biomarkers for early diagnosis and treatment of colorectal cancer via bioinformatic tools.MethodsTo identify differentially expressed genes (DEGs) in CRC, we downloaded CRC gene expression data from GSE24514 and GSE110223 datasets in Gene Expression Omnibus (GEO) and employed R to analyze the data. We further performed functional enrichment analysis of the DEGs on the DAVID gene ontology analysis tool. STRING database and Cytoscape visualization tool were employed to construct a PPI (protein–protein interaction) network and establish intensive intervals in the network. Immunohistochemistry, qRT-PCR and Western blotting were performed to identify the expression level of GINS1 in CRC. In vitro and in vivo experiments were performed to assess the impact of GINS1 in the pathogenesis of CRC in terms of proliferation, migration and metastasis.ResultsAmong the two datasets, 389 DEGs were identified and used to construct a PPI network. These genes were mainly involved in cell proliferation and cell cycle. Among them, 15 genes including GINS1 were found to be strongly associated with the PPI network. We further performed immunohistochemistry, qRT-PCR and Western blotting to identify that GINS1 expression was higher in CRC than in paired normal tissues. Moreover, in vitro and in vivo experiments demonstrated GINS1 could promote the proliferation, invasion and migration of colorectal cancer cells.ConclusionsGINS1 could be considered as a potential biomarker for CRC patients.

Association between histone deacetylase activity and vitamin D-dependent gene expressions in relation to sulforaphane in human colorectal cancer cells.

It is relatively unknown as to how dietary bioactive compound sulforaphane (SFN) and vitamin D regulate gene expression in colorectal cancer. We hypothesized that a combination of SFN with vitamin D would prove beneficial in colorectal cancer. A combinatorial chemo-preventive strategy was employed to investigate the impact of SFN on chromatin remodeling in colorectal carcinoma. To understand the epigenetics-mediated changes in gene expression in response to SFN and vitamin D, Caco-2 cells were exposed for 24 h to vitamin D (100 nmol L-1 ) either alone or in combination with SFN and trichostatin A (20 and 1 μmol L-1 , respectively) at 70% confluency (proliferating) and after 13 days post-confluency (fully differentiated). Changes to VDR, CYP24A1, CYP27B1 and TRPV6 gene expressions were quantified using real-time PCR-based assays. Histone deacetylase (HDAC) inhibitor activity was assessed using HDAC I/II assay that measured global changes in acetylation status. In differentiated Caco-2 cells, none of the genes had significant changes from D alone group. D + SFN (P = 0.99) demonstrated an opposing effect from D alone and decreased VDR expression. However, in proliferating Caco-2 cells, D + SFN (P < 0.04) increased VDR expression and decreased CYP27B1 (P < 0.01) more than D alone (P = 0.38 and 0.07, respectively). Although statistically significant, D + SFN (P = 0.01) effect on HDAC inhibitor activity was less than trichostatin A alone group (P < 0.0004) or SFN alone group (P < 0.0014). The data suggest that colon cancer cells respond to dietary components differently under different conditions. The effect of vitamin D and SFN is selective and gene-specific in the complex multistep process of colorectal carcinogenesis in vitro. © 2020 Society of Chemical Industry.

MBD2 and EZH2 regulate the expression of SFRP1 without affecting its methylation status in a colorectal cancer cell line.

Secreted frizzled-related protein 1 (SFRP1), which is an extracellular inhibitor involved in Wnt signalling, is downregulated by promoter hypermethylation in the early stages of colorectal tumorigenesis. Polycomb (PCG) and methyl-CpG-binding domain (MBD) proteins that serve a role in epigenetic gene regulation. The aim of the present study was to determine the role of PCG and MBD proteins in the regulation of SFRP1 gene expression in colorectal cancer (CRC), specifically in CRC cell lines and the human embryo intestinal mucosa cell line CCC-HIE-2. The methylation status of the SFRP1 gene promoter were analysed using methylation-specific PCR (MSP), whereas SFRP1 mRNA expression was analysed using reverse transcription-quantitative PCR. The association between PCG and MBD proteins and the SFRP1 gene was assessed, where associated proteins were screened by chromatin immunoprecipitation and their expression were subsequently knocked down using RNA interference to determine their role in the regulation of SFRP1 gene expression. The SFRP1 promoter was demonstrated to be hypermethylated in CRC cell lines and partially methylated in the non-cancerous cell line CCC-HIE-2. SFRP1 mRNA expression was significantly lower in CRC cell lines compared with that of CCC-HIE-2 cells. The expression of PCGs enhancer of zeste homolog 2 (EZH2) and BMI1, along with MBD2, was indicated to be upregulated with SFRP1 methylation in HCT116 and SW480 cells. The SFRP1 promoter region was enriched with EZH2 in CCC-HIE-2 cells and enriched with EZH2 and MBD2 in SW480 cells, whereas none of the proteins examined were indicated on the SFRP1 promoter in HCT116 cells. The expression of SFRP1 was reactivated by MBD2 small interfering (si)RNA but not by EZH2 siRNA in SW480 cells, but combined MBD2 and EZH2 knockdown effectively restored SFRP1 gene expression without affecting the methylation status of the SFRP1 promoter. In conclusion, data from the present study revealed that MBD2 and EZH2 regulated SFRP1 expression without affecting the hypermethylation of SFRP1 in CRC cell lines. Instead, the regulation of SFRP1 expression may be through a distinct mechanism, which warrants further investigation.

A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer

BackgroundThe dysregulation of gut microbiota is pivotal in colorectal carcinogenesis. Meanwhile, altered gut microbiome may affect the development of intestinal diseases through interaction with the host genes. However, the synergy between the altered gut microbiota composition and differential expression of specific genes in colorectal cancer (CRC) remains elusive. Thus, we integrated the data from 16S rRNA gene sequences and RNA sequences to investigate the potential relationship between genes and gut microbes in patients with CRC.ResultsCompared with normal samples, the presence of Proteobacteria and Fusobacteria increased considerably in CRC samples; conversely, the abundance of Firmicutes and Spirochaetes decreased markedly. In particular, the genera Fusobacterium, Catenibacterium, and Shewanella were only detected in tumor samples. Meanwhile, a closely interaction between Butyricimonas and Clostridium was observed in the microbiome network. Furthermore, a total of 246 (differentially expressed genes) DEGs were identified between tumor and normal tissues. Both DEGs and microbiota were involved in bile secretion and steroid hormone biosynthesis pathways. Finally, genes like cytochrome P450 family 3 subfamily A member 4 (CYP3A4) and ATP binding cassette subfamily G member 2 (ABCG2) enriched in these two pathways were connected with the prognosis of CRC, and CRC patients with low expression level of CYP3A4 and ABCG2 had longer survival time.ConclusionIdentifying the complicated interaction between gut microbiota and the DEGs contributed to further understand the pathogenesis of CRC, and these findings might enable better diagnosis and treatment of CRC patients.

Preoperative heat shock protein 47 levels identify colorectal cancer patients with lymph node metastasis and poor prognosis.

Accumulating evidence suggests that overexpression of heat shock protein 47 (HSP47) increases cancer progression, and that HSP47 level in the tumor-associated stroma may serve as a diagnostic marker in various cancers. The present study aimed to evaluate whether HSP47 gene expression in colorectal cancer (CRC) tissues could be used to identify lymph node (LN) metastasis status preoperatively in patients with CRC. To do so, HSP47 gene expression was determined and its association with the clinicopathological characteristics of patients with CRC was analyzed. A total of 139 surgical specimens from patients with CRC and 36 patients with benign colonic disease undergoing surgery at Mie University Hospital were analyzed. HSP47 gene expression was determined by reverse transcription quantitative PCR using Power SYBR Green PCR methods. Expression level of HSP47 was significantly higher in CRC tissues compared with normal tissue from patients with benign colonic disease. Furthermore, high HSP47 expression was significantly associated with tumor progression, including high T stage, lymph node metastasis and venous invasion, and high TNM stage. High HSP47 expression may therefore serve as a novel predictive biomarker for determining patients with CRC and LN metastasis. According to Kaplan-Meier analysis, patients with high HSP47 expression level had significantly poorer overall survival than those with low HSP47 expression level. Furthermore, multivariate analyses identified HSP47 expression as an independent predictive marker for LN metastasis and poor overall survival in patients with CRC. In summary, the present study demonstrated that HSP47 expression may be considered as a novel biomarker for predicting LN metastasis status and prognosis in patients with CRC.

STAT3‐mediated gene expression in colorectal cancer cells‐derived cancer stem‐like tumorspheres

AbstractSTAT3 is a transcriptional factor involved in tumorigenesis and the initiation of cancer stemness property. However, the STAT3‐downstream regulatory gene expressions in the formation of colorectal cancer (CRC)‐derived tumorsphere is obscure. In this study, RNAseq was used to uncover the potential genes involved in the formation of colorectal HCT116‐ and HT29‐derived stem‐like tumorspheres, whereas HCT116 and HT29 overexpressed CD133. Furthermore, STAT3 was knockdowned and analyzed consequently by RNAseq for picking up the STAT3‐mediated genes associated with tumorspheres formation. Then, quantitative polymerase chain reaction was used for validating the expressions of selected driver genes in epidermal growth factor (EGF) treated‐ and in STAT3‐knockdowned HT29 cells. We found that 654 genes and 646 genes were upregulated in HCT116‐ and HT29‐derived tumorspheres, respectively. There were 103 genes simultaneously increased in both CRC tumorspheres, including, STAT3 selected as a driver gene by NetworkAnalyst (https://www.networkanalyst.ca/). Moreover, there were 139 genes downregulated in HT29shSTAT3 cells compared to HT29shLuc cells, 12 of the genes were overlapped with the overexpressed 103 genes from tumorspheres, including, NDRG1, ALDOC, BHLHE40, ATF3, C6orf223, JUND, ERRFI1, HK2, ITPKA, PLOD2, IDI1, and S100A14. Among them, BHLHE40, ATF3, ERRFI1, ITPKA, and S100A14 were validated and induced by EGF treatment, that were, otherwise, decreased in HT29shSTAT3 cells. We found and validated that STAT3 mediated the formation of CRC stemness tumorspheres, and STAT3‐downstram BHLHE40, ATF3, ERRFI1, ITPKA, and S100A14 may be involved in the stemness property.

MicroRNAs miR-1 and miR-206 Regulate Monocarboxylate Transporter-4 and Vascular Endothelial Growth Factor Gene Expression in Colorectal Cancer

Background: Colorectal cancer (CRC) is currently the third most common cancer type in males and the second most occurring in females. The role of microRNA (miRNA) in the development of colorectal cancer is not fully elucidated. Therefore, understanding the mechanistic interaction between miRNA and their target oncogenes may hold great importance as a possible target for interventional anticancer therapy.&#x0D; Aims: To identify miRNAs that are part of the regulating pathway of Monocarboxylate Transporter-4 (MCT4) and Vascular Endothelial Growth Factor (VEGF) oncogenes.&#x0D; Study Design: We used publicly available prediction tools (e.g. TargetScan, MicroCosm, PicTar, and DIANA-microT-CDS) to identify the possible miRNA that target the two oncogenes.&#x0D; Methodology: We used the GeneMania database to visualize the network and verify gene names and remove ambiguity and duplications.  Furthermore, we used miRTarBase database to identify experimentally validated targets which we used to further confirm miRNA-oncogene relationships.  Finally, we utilized miR-Mfold web-tool to further visualize the circular structures and the simulated miR-1 and miR-206 targeting arrangements.&#x0D; Results: We found two putative miRNA (miR-1 and miR-206) that may downregulate MCT4 coded by SLC16A3 gene and VEGF which is coded by VEGF gene. We found relationships between the validated target genes of miR-1 and miR-206 through GeneMania which we extracted from the literature. And we elucidated the proposed structure of these two miRNAs through miR-Mfold web-tool.&#x0D; Conclusion: Our results elucidated a novel regulation pathway in CRC cells and may suggest a potential therapeutic approach for CRC therapy. MiR-1 and miR-206 may help cells go to apoptosis and inhibit the angiogenesis of colorectal cancer cells by down-regulation of MCT4 and VEGF proteins in tumor tissues.

Data on the evaluation of FGF2 gene expression in Colorectal Cancer.

The data presented in this article is related with the research paper entitled “Evaluation of MGP gene expression in colorectal cancer”, available on Gene journal [1]. From all the transcription factors known to regulate MGP, FGF2 is the most described in colon adenocarcinoma and colon tumor cell lines, where it was shown to: i) contribute for the invasiveness potential; and ii) promote proliferation and survival of colorectal cancer cells. These in vitro studies pose the hypothesis that FGF2 associated signaling pathways could be promoting the regulation of others genes, such as MGP, that may lead to tumor progression which ultimately could result in poor prognosis in colon adenocarcinoma.

Whole blood ACTB, B2M and GAPDH expression reflects activity of inflammatory bowel disease, advancement of colorectal cancer, and correlates with circulating inflammatory and angiogenic factors: Relevance for real-time quantitative PCR.

The effect of bowel inflammation and cancer on the expression of the most prevalent internal controls: ACTB, GAPDH and B2M in whole blood is unknown, although at least GAPDH occurred to be tightly regulated and suspected of supporting cancer growth, challenging its suitability as a reference. To evaluate the effect of colorectal cancer (CRC) and active inflammatory bowel disease (IBD) on the stability of ACTB, B2M, GAPDH, HPRT1, SDHA, and TBP leukocyte expression. Gene expression in controls and CRC and IBD patients (n = 21/18/25) was evaluated in real-time quantitative polymerase chain reaction (RT-qPCR) using NormFinder, geNorm, BestKeeper, and comparative ΔCt method, and validated by comparison with absolute quantification of interleukin 1β (IL-1β) and CCL4. HPRT1, SDHA and TBP were superior normalizers in CRC and IBD. The highest expression variability was noted in active IBD. B2M was significantly lower in CRC but higher in IBD. GAPDH was higher in CRC and IBD. ACTB and GAPDH corresponded with CRC advancement (ρ = 0.52 and ρ = 0.53) and with clinical activity in Crohn's disease (ρ = 0.44 and ρ = 0.57) and ulcerative colitis (GAPDH: ρ = 0.72). ACTB, B2M and GAPDH correlated with circulating inflammatory/angiogenic indices, differently in IBD and CRC. Leukocyte GAPDH, ACTB, and B2M expression is affected by bowel inflammation and cancer, rendering them unsuitable as a reference in CRC and IBD.

Integrating Genome-Wide Association Studies and Gene Expression Profiles With Chemical-Genes Interaction Networks to Identify Chemicals Associated With Colorectal Cancer.

Colorectal cancer (CRC) is the third most common cancer and has the second highest mortality rate in global cancer. Exploring the associations between chemicals and CRC has great significance in prophylaxis and therapy of tumor diseases. This study aims to explore the relationships between CRC and environmental chemicals on genetic basis by bioinformatics analysis. The genome-wide association study (GWAS) datasets for CRC were obtained from the UK Biobank. The GWAS data for colon cancer (category C18) includes 2,581 individuals and 449,683 controls, while that of rectal cancer (category C20) includes 1,244 individuals and 451,020 controls. In addition, we derived CRC gene expression datasets from the NCBI-GEO (GSE106582). The chemicals related gene sets were acquired from the comparative toxicogenomics database (CTD). Transcriptome-wide association study (TWAS) analysis was applied to CRC GWAS summary data and calculated the expression association testing statistics by FUSION software. We performed chemicals related gene set enrichment analysis (GSEA) by integrating GWAS summary data, mRNA expression profiles of CRC and the CTD chemical-gene interaction networks to identify relationships between chemicals and genes of CRC. We observed several significant correlations between chemicals and CRC. Meanwhile, we also detected 5 common chemicals between colon and rectal cancer, including methylnitronitrosoguanidine, isoniazid, PD 0325901, sulindac sulfide, and importazole. Our study performed TWAS and GSEA analysis, linked prior knowledge to newly generated data and thereby helped identifying chemicals related to tumor genes, which provides new clues for revealing the associations between environmental chemicals and cancer.

Crosstalk between DNA methylation and gene expression in colorectal cancer, a potential plasma biomarker for tracing this tumor

Colorectal cancer (CRC), the second leading cause of cancer mortality, constitutes a significant global health burden. An accurate, noninvasive detection method for CRC as complement to colonoscopy could improve the effectiveness of treatment. In the present study, SureSelectXT Methyl-Seq was performed on cancerous and normal colon tissues and CLDN1, INHBA and SLC30A10 were found as candidate methylated genes. MethyLight assay was run on formalin-fixed paraffin-embedded (FFPE) and fresh case and control tissues to validate the methylation of the selected gene. The methylation was significantly different (p-values < 2.2e-16) with a sensitivity of 87.17%; at a specificity cut-off of 100% in FFPE tissues. Methylation studies on fresh tissues, indicated a sensitivity of 82.14% and a specificity cut-off of 92% (p-values = 1.163e-07). The biomarker performance was robust since, normal tissues indicated a significant 22.1-fold over-expression of the selected gene as compared to the corresponding CRC tissues (p-value < 2.2e-16) in the FFPE expression assay. In our plasma pilot study, evaluation of the tissue methylation marker in the circulating cell-free DNA, demonstrated that 9 out of 22 CRC samples and 20 out of 20 normal samples were identified correctly. In summary, there is a clinical feasibility that the offered methylated gene could serve as a candidate biomarker for CRC diagnostic purpose, although further exploration of our candidate gene is warranted.