Gene profiling of colonic serrated adenomas by using oligonucleotide microarray

Beyond Colonoscopy: Exploring New Cell Surface Biomarkers for Detection of Early, Heterogenous Colorectal Lesions

Colorectal cancer (CRC) is the third leading cause of cancer-related deaths among both men and women in the United States. Early detection and surgical removal of high-risk lesions in the colon can prevent disease from developing and spreading. Despite implementation of programs aimed at early detection, screening colonoscopies fail to detect a fraction of potentially aggressive colorectal lesions because of their location or nonobvious morphology. Optical colonoscopies, while highly effective, rely on direct visualization to detect changes on the surface mucosa that are consistent with dysplasia. Recent advances in endoscopy techniques and molecular imaging permit microscale visualization of the colonic mucosa. These technologies can be combined with various molecular probes that recognize and target heterogenous lesion surfaces to achieve early, real-time, and potentially non-invasive, detection of pre-cancerous lesions. The primary goal of this review is to contextualize existing and emergent CRC surface biomarkers and assess each’s potential as a candidate marker for early marker-based detection of CRC lesions. CRC markers that we include were stratified by the level of support gleaned from peer-reviewed publications, abstracts, and databases of both CRC and other cancers. The selected biomarkers, accessible on the cell surface and preferably on the luminal surface of the colon tissue, are organized into three categories: (1) established biomarkers (those with considerable data and high confidence), (2) emerging biomarkers (those with increasing research interest but with less supporting data), and (3) novel candidates (those with very recent data, and/or supportive evidence from other tissue systems). We also present an overview of recent advances in imaging techniques useful for visual detection of surface biomarkers, and discuss the ease with which these methods can be combined with microscopic visualization.

Expression Profiling Reveals Involvement of WNT Pathway in the Malignant Progression of Sessile Serrated Adenomas

Approximately 15% to 20% of colorectal cancers are developed through the serrated pathway of tumorigenesis, which is associated with BRAF mutation, CpG island methylation phenotype, and MLH1 methylation. However, the detailed process of progression from sessile serrated adenoma (SSA) to dysplasia and carcinoma has not been elucidated. To further characterize mechanisms involved in the dysplastic progression of SSA, we investigated differential expressions of mRNAs between areas with and without dysplasia within the same SSA polyps. Significantly dysregulated genes in paired samples were applied for functional annotation and biological significance. The same lysates from a subset of matched samples were subjected for miRNA expression profiling. Differentially expressed miRNAs were determined, and their targeted mRNAs were compared in parallel to the list of differentially expressed mRNAs from an RNA sequencing study. Fourteen common mRNA targets were identified, which include AXIN2, a known indicator of WNT/β-catenin pathway activation. Together, in this study, different genes, pathways, and biological processes involved in the initiation and progression of dysplasia in the serrated pathway are documented. One of the most significant findings is the involvement of the WNT/β-catenin pathway in the dysplastic progression of SSAs with different genes being targeted in early versus advanced dysplasia.

Graph coloring for extracting discriminative genes in cancer data

BACKGROUND AND OBJECTIVE

The major difficulty of the analysis of the input gene expression data in a microarray-based approach for an automated diagnosis of cancer is the large number of genes (high dimensionality) with many irrelevant genes (noise) compared to the very small number of samples. This research study tackles the dimensionality reduction challenge in this area.

METHODS

This research study introduces a dimension-reduction technique termed graph coloring approach (GCA) for microarray data-based cancer classification based on analyzing the absolute correlation between gene-gene pairs and partitioning genes into several hubs using graph coloring. GCA starts by a gene-selection step in which top relevant genes are selected using a biserial correlation. Each time, a gene from an ordered list of top relevant genes is selected as the hub gene (representative) and redundant genes are added to its group; the process is repeated recursively for the remaining genes. A gene is considered redundant if its absolute correlation with the hub gene is greater than a controlling threshold. A suitable range for the threshold is estimated by computing a percentage graph for the absolute correlation between gene-gene pairs. Each value in the estimated range for the threshold can efficiently produce a new feature subset.

RESULTS

GCA achieved significant improvement over several existing techniques in terms of higher accuracy and a smaller number of features. Also, genes selected by this method are relevant genes according to the information stored in scientific repositories.

CONCLUSIONS

The proposed dimension-reduction technique can help biologists accurately predict cancer in several areas of the body.

Chromatin-associated APC regulates gene expression in collaboration with canonical WNT signaling and AP-1

Mutation of the APC gene occurs in a high percentage of colorectal tumors and is a central event driving tumor initiation in the large intestine. The APC protein performs multiple tumor suppressor functions including negative regulation of the canonical WNT signaling pathway by both cytoplasmic and nuclear mechanisms. Published reports that APC interacts with β-catenin in the chromatin fraction to repress WNT-activated targets have raised the possibility that chromatin-associated APC participates more broadly in mechanisms of transcriptional control. This screening study has used chromatin immunoprecipitation and next-generation sequencing to identify APC-associated genomic regions in colon cancer cell lines. Initial target selection was performed by comparison and statistical analysis of 3,985 genomic regions associated with the APC protein to whole transcriptome sequencing data from APC-deficient and APC-wild-type colon cancer cells, and two types of murine colon adenomas characterized by activated Wnt signaling.

289 transcripts altered in expression following APC loss in human cells were linked to APC-associated genomic regions. High-confidence targets additionally validated in mouse adenomas included 16 increased and 9 decreased in expression following APC loss, indicating that chromatin-associated APC may antagonize canonical WNT signaling at both WNT-activated and WNT-repressed targets. Motif analysis and comparison to ChIP-seq datasets for other transcription factors identified a prevalence of binding sites for the TCF7L2 and AP-1 transcription factors in APC-associated genomic regions. Our results indicate that canonical WNT signaling can collaborate with or antagonize the AP-1 transcription factor to fine-tune the expression of shared target genes in the colorectal epithelium. Future therapeutic strategies for APC-deficient colorectal cancers might be expanded to include agents targeting the AP-1 pathway.

Surface-bound galectin-4 regulates gene transcription and secretion of chemokines in human colorectal cancer cell lines

One long-term complication of chronic intestinal inflammation is the development of colorectal cancer. However, the mechanisms linking inflammation to the colorectal tumorigenesis are poorly defined. Previously, we have demonstrated that galectin-4 is predominantly expressed in the luminal epithelia of the gastrointestinal tract, and its loss of expression plays a key role in the colorectal tumorigenesis. However, the mechanism by which galectin-4 regulates inflammation-induced tumorigenesis is unclear. Here, we show that galectin-4 secreted by the colorectal cancer cell lines was bound to the cell surface. Neutralization of surface-bound galectin-4 with anti-galectin-4 antibody resulted in increased cell proliferation with concomitant secretion of several chemokines into the extracellular medium. Neutralization of the surface-bound galectin-4 also resulted in the up-regulation of transcription of 29 genes, several of which are components of multiple inflammation signaling pathways. In an alternate experiment, binding of recombinant galectin-4 protein to cell surface of the galectin-4-negative colorectal cancer cells resulted in increased p27, and decreased cyclin D1 and c-Myc levels, leading to cell cycle arrest and apoptosis. Together, these data demonstrated that surface-bound galectin-4 is a dual function protein-down-regulating cell proliferation and chemokine secretion in galectin-4-expressing colorectal cancer cells on one hand and inducing apoptosis in galectin-4-negative colorectal cancer cells on the other hand.

Promoter hypermethylation of MGMT gene may contribute to the pathogenesis of gastric cancer: A PRISMA-compliant meta-analysis

BECKGROUND

The association of MGMT (O-methyguanine deoxyribonucleic acid methyltransferase) promoter hypermethylation with gastric cancer (GC) risk has been studied extensively, but the results remained unclear. Here, we performed a meta-analysis to evaluate whether promoter hypermethylation of the MGMT gene contributed to gastric pathogenesis.

METHODS

Relevant studies were identified by retrieving the PubMed, Web of Science, Embase, and China National Knowledge Infrastructure (CNKI) databases. The Newcastle-Ottawa Scale was applied to assess methodological quality of the included studies. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated to evaluate the association of MGMT promoter hypermethylation with gastric pathogenesis. Moreover, STATA 12.0 software was used to summarize the extracted data in this meta-analysis.

RESULTS

Seventeen studies, comprising 1736 cases and 1291 controls, were included in this meta-analysis. The frequency of MGMT promoter hypermethylation in the GC group (32.97%) was significantly higher than those in the control group (18.00%) (OR = 2.83, CI = 1.93-4.15, P < .05). When stratified by cancer subtype, the results indicated that the frequency of MGMT promoter hypermethylation was significantly higher in gastric adenocarcinoma than in control group (OR = 3.47, CI = 1.06-11.35, P < .05). In addition, MGMT promoter hypermethylation significantly promoted distant metastasis and lymph node (LN) metastasis of gastric tumor (for distant metastasis, OR = 4.22, CI = 2.42-7.37, P < .05; for LN metastasis, OR = 1.56, CI = 1.14-2.13, P < .05). A significant association between MGMT promoter hypermethylation and TNM-stage was also found in the present meta-analysis (OR = 2.70, CI = 1.79-4.08, P < .05).

CONCLUSION

The results of this meta-analysis suggested that MGMT gene-promoter hypermethylation was significantly associated with an increased risk of GC, especially in Asians. Furthermore, MGMT gene-promoter hypermethylation might be correlated with the distant metastasis and LN metastasis of GC.

Epigenetic alterations in gastric cancer (Review)

Gastric cancer is one of the most common types of cancer and the second most common cause of cancer-related mortality worldwide. An increasing number of recent studies have confirmed that gastric cancer is a multistage pathological state that arises from environmental factors; dietary factors in particulary are considered to play an important role in the etiology of gastric cancer. Improper dietary habits are one of the primary concerns as they influence key molecular events associated with the onset of gastric carcinogenesis. In the field of genetics, anticancer research has mainly focused on the various genetic markers and genetic molecular mechanisms responsible for the development of this of this disease. Some of this research has proven to be very fruitful, providing insight into the possible mechamisms repsonsible for this disease and into possible treatment modalities. However, the mortality rate associated with gastric cancer remains relatively high. Thus, epigenetics has become a hot topic for research, whereby genetic markers are bypassed and this research is directed towards reversible epigenetic events, such as methylation and histone modifications that play a crucial role in carcinogenesis. The present review focuses on the epigenetic events which play an important role in the development and progression of this deadly disease, gastric cancer.

GECC: Gene Expression Based Ensemble Classification of Colon Samples

Gene expression deviates from its normal composition in case a patient has cancer. This variation can be used as an effective tool to find cancer. In this study, we propose a novel gene expressions based colon classification scheme (GECC) that exploits the variations in gene expressions for classifying colon gene samples into normal and malignant classes. Novelty of GECC is in two complementary ways. First, to cater overwhelmingly larger size of gene based data sets, various feature extraction strategies, like, chi-square, F-Score, principal component analysis (PCA) and minimum redundancy and maximum relevancy (mRMR) have been employed, which select discriminative genes amongst a set of genes. Second, a majority voting based ensemble of support vector machine (SVM) has been proposed to classify the given gene based samples. Previously, individual SVM models have been used for colon classification, however, their performance is limited. In this research study, we propose an SVM-ensemble based new approach for gene based classification of colon, wherein the individual SVM models are constructed through the learning of different SVM kernels, like, linear, polynomial, radial basis function (RBF), and sigmoid. The predicted results of individual models are combined through majority voting. In this way, the combined decision space becomes more discriminative. The proposed technique has been tested on four colon, and several other binary-class gene expression data sets, and improved performance has been achieved compared to previously reported gene based colon cancer detection techniques. The computational time required for the training and testing of 208 × 5,851 data set has been 591.01 and 0.019 s, respectively.

A recent survey on colon cancer detection techniques

Colon cancer causes deaths of about half a million people every year. Common method of its detection is histopathological tissue analysis, which, though leads to vital diagnosis, is significantly correlated to the tiredness, experience, and workload of the pathologist. Researchers have been working since decades to get rid of manual inspection, and to develop trustworthy systems for detecting colon cancer. Several techniques, based on spectral/spatial analysis of colon biopsy images, and serum and gene analysis of colon samples, have been proposed in this regard. Due to rapid evolution of colon cancer detection techniques, a latest review of recent research in this field is highly desirable. The aim of this paper is to discuss various colon cancer detection techniques. In this survey, we categorize the techniques on the basis of the adopted methodology and underlying data set, and provide detailed description of techniques in each category. Additionally, this study provides an extensive comparison of various colon cancer detection categories, and of multiple techniques within each category. Further, most of the techniques have been evaluated on similar data set to provide a fair performance comparison. Analysis reveals that neither of the techniques is perfect; however, research community is progressively inching toward the finest possible solution.

Role of retinoic acid in immune regulation: implications in the treatment of inflammatory bowel disease

Retinoic acid, a derivative of vitamin A, can regulate cell proliferation, differentiation, maturation and plays important roles in the body's normal development and a variety of physiological activities. Retinoic acid is not only a differentiation inducer but also an immunomodulator. On one hand, retinoic acid can balance the Thl/Th2 ratio by reducing the secretion of INF-γ and promoting the secretion of IL-4; on the other hand, it can regulate Th17/Treg balance by promoting the differentiation of CD4+ CD25+ Treg cells. In this way, retinoic acid can regulate the body's disturbed immune system and help restore normal immune function. Thus, treatment with retinoic acid may affect the process of inflammatory bowel disease (IBD) and represent a new method for the therapy of IBD.

Linking obesity to colorectal cancer: application of nutrigenomics

Diet is one of the most affective environmental factors in cancer development. Due to complicated nature of the diet, it has been very difficult to provide clear explanations for the role of dietary components in carcinogenesis. However, as high-throughput omics techniques became available, researchers are now able to analyze large sets of gene transcripts, proteins, and metabolites to identify molecules involved in disease development. Bioinformatics uses these data to perform network analyses and suggest possible interactions between metabolic processes and environmental factors. Obesity is known as one of the most closely related risk factors of colorectal cancer (CRC). Metabolic disturbances due to a positive energy balance may trigger and accelerate CRC development. In this review, we have summarized reports on genes, proteins and metabolites that are related to either obesity or CRC, and suggested candidate molecules linking obesity and CRC based on currently available literature. Possible application of bioinformatics for a large scale network analysis in studying cause-effect relationship between dietary components and CRC are suggested.

Galectin-4 functions as a tumor suppressor of human colorectal cancer

Development of colorectal cancer (CRC) involves a series of genetic alterations with altered expression of proteins and cell signaling pathways. Here, we identified that galectin-4 (gal-4), a marker of differentiation, was down-regulated in CRC. The goal of this work was to determine the function of gal-4 in CRC. Toward this goal, the human colon biopsies and tissue microarrays containing a gradient of pathology were analyzed for gal-4 expression by immunohistochemistry. Cell proliferation, migration, motility, forced expression, knockdown, cell cycle and apoptosis assays were used to characterize gal-4 function. Immunohistochemistry identified that gal-4 expression was significantly down-regulated in adenomas and was essentially absent in invasive carcinomas. Forced expression of gal-4 in gal-4 -ve cells induced cell cycle arrest and retarded cell migration and motility. Further, gal-4 sensitized the cells to camptothecin-induced apoptosis. Gal-4 knockdown resulted in increased cell proliferation, migration and motility. Gal-4 was found to be associated with Wnt signaling proteins. Finally, gal-4 expression led to down-regulation of Wnt signaling target genes. This study demonstrates that loss of gal-4 is a common and specific event in CRC. This study also shows that gal-4 exhibits tumor suppressive effects in CRC cells in vitro. Through its ability to interact with and down-regulate the functions of Wnt signaling pathway, gal-4 reveals a new dimension in the control of the Wnt signaling pathway. Thus, gal-4 may prove to be an important molecule in understanding the biology of CRC.

Serrated adenomas

Serrated adenomas are categorized as sessile serrated adenomas (SSAs) and traditional serrated adenomas (TSAs). SSAs are more prevalent in the proximal colon and lack classic dysplasia, whereas TSAs are more prevalent in the rectosigmoid and have cytologic dysplasia. Serrated adenomas may progress to colorectal adenocarcinoma through diverse molecular alterations. Colonoscopy is the only test for the early detection of serrated adenomas that allows inspection of the entire colon and same-session biopsy sampling or polypectomy, if necessary. If an endoscopic biopsy at the right colon reveals SSA without cytologic dysplasia or biopsy at the rectosigmoid reveals SSA or TSA, those polyps should be excised or surgically resected as necessary. Postpolypectomy surveillance for removed SSAs without dysplasia and TSAs must be performed at 5- and 3-year intervals, respectively, with colonoscopy to prevent recurrence and progression to colorectal adenocarcinoma.