Gene expression profile of peripheral blood in colorectal cancer

Chang, Yu-Tien; Huang, Cheng-Yang; Yao, Chung-Tay; Su, Sui-Lung; Terng, Harn-Jing; Chou, Hsiu‐Ling; Chou, Yu‐Ching; Chen, Kanghua; Shih, Yun-Wen; Lu, Chian-Yu; Lai, Ching‐Huang; Jian, Chen-En; Lin, Chiao-Huang; Chen, Chien-Ting; Wu, Yi-Syuan; Lin, Ke-Shin; Wetter, Thomas C.; Chang, Chi‐Wen; Chu, Chi‐Ming

doi:10.3748/wjg.v20.i39.14463

Cited by 29 publications

(31 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The IL2RB gene encodes the interleukin(IL)-2 receptor-β which binds IL-2, a cytokine which plays a major role in T-cell differentiation and proliferation. Overexpression of lymphocyte IL2RB has been linked to risk of colorectal cancer in small clinical casecontrol studies and was shown to predict risk when combined with 6 additional genes 44,45 Given that obesity is accompanied by alterations in T-cell populations, inflammation and immune dysregulation 46 , our results provide a potential link between obesity, T-cell proliferative pathways and colorectal cancer development that warrants further study. The FGF18 gene, which encodes the fibroblast growth factor 18, has also been previously linked to colorectal tumorigenesis 47 .…”

Section: Discussionmentioning

confidence: 76%

Epigenome-wide association study of adiposity and future risk of obesity-related diseases

et al. 2018

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 76%

Epigenome-wide association study of adiposity and future risk of obesity-related diseases

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Considering the above, we speculated that KRAS and MAP1 might be partly responsible for the confirmed associations between miR-132 and several cancers, such as colorectal cancer[ 8 ], glioma[ 10 ] and primary glioblastoma multiforme[ 58 ]. An earlier study by Chang, et al[ 59 ] has put forward the concept of applying gene expression profile of peripheral blood for the detection of colorectal cancer. Researchers interested can capitalize on methods mentioned[ 59 ] in combination with findings in the current research, namely, discovering whether the abovementioned hub genes, especially KRAS and MAP1, would be appropriate for blood-based detection assays in HCC.…”

Section: Discussionmentioning

confidence: 99%

“…An earlier study by Chang, et al[ 59 ] has put forward the concept of applying gene expression profile of peripheral blood for the detection of colorectal cancer. Researchers interested can capitalize on methods mentioned[ 59 ] in combination with findings in the current research, namely, discovering whether the abovementioned hub genes, especially KRAS and MAP1, would be appropriate for blood-based detection assays in HCC.…”

Section: Discussionmentioning

confidence: 99%

An Encapsulation of Gene Signatures for Hepatocellular Carcinoma, MicroRNA-132 Predicted Target Genes and the Corresponding Overlaps

et al. 2016

View full text Add to dashboard Cite

ObjectivesPrevious studies have demonstrated that microRNA-132 plays a vital part in and is actively associated with several cancers, with its tumor-suppressive role in hepatocellular carcinoma confirmed. The current study employed multiple bioinformatics techniques to establish gene signatures for hepatocellular carcinoma, microRNA-132 predicted target genes and the corresponding overlaps.MethodsVarious assays were performed to explore the role and cellular functions of miR-132 in HCC and a successive panel of tasks was completed, including NLP analysis, miR-132 target genes prediction, comprehensive analyses (gene ontology analysis, pathway analysis, network analysis and connectivity analysis), and analytical integration. Later, HCC-related and miR-132-related potential targets, pathways, networks and highlighted hub genes were revealed as well as those of the overlapped section.ResultsMiR-132 was effective in both impeding cell growth and boosting apoptosis in HCC cell lines. A total of fifty-nine genes were obtained from the analytical integration, which were considered to be both HCC- and miR-132-related. Moreover, four specific pathways were unveiled in the network analysis of the overlaps, i.e. adherens junction, VEGF signaling pathway, neurotrophin signaling pathway, and MAPK signaling pathway.ConclusionsThe tumor-suppressive role of miR-132 in HCC has been further confirmed by in vitro experiments. Gene signatures in the study identified the potential molecular mechanisms of HCC, miR-132 and their established associations, which might be effective for diagnosis, individualized treatments and prognosis of HCC patients. However, combined detections of miR-132 with other bio-indicators in clinical practice and further in vitro experiments are needed.

show abstract

“…Blood samples were stored at 4°C until the peripheral mononuclear cell (PBMC) fraction was isolated, within 3 hours of collection. The PBMC fraction was used for further preparations according to Chang et al [49], including RNA extraction, reverse transcription, and real-time PCR analysis. All RNA and cDNA were stored at −80°C before analysis.…”

Section: Methodsmentioning

confidence: 99%

Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages

et al. 2016

View full text Add to dashboard Cite

Peripheral blood mononuclear cell (PBMC)-derived gene signatures were investigated for their potential use in the early detection of non-small cell lung cancer (NSCLC). In our study, 187 patients with NSCLC and 310 age- and gender-matched controls, and an independent set containing 29 patients for validation were included. Eight significant NSCLC-associated genes were identified, including DUSP6, EIF2S3, GRB2, MDM2, NF1, POLDIP2, RNF4, and WEE1. The logistic model containing these significant markers was able to distinguish subjects with NSCLC from controls with an excellent performance, 80.7% sensitivity, 90.6% specificity, and an area under the receiver operating characteristic curve (AUC) of 0.924. Repeated random sub-sampling for 100 times was used to validate the performance of classification training models with an average AUC of 0.92. Additional cross-validation using the independent set resulted in the sensitivity 75.86%. Furthermore, six age/gender-dependent genes: CPEB4, EIF2S3, GRB2, MCM4, RNF4, and STAT2 were identified using age and gender stratification approach. STAT2 and WEE1 were explored as stage-dependent using stage-stratified subpopulation. We conclude that these logistic models using different signatures for total and stratified samples are potential complementary tools for assessing the risk of NSCLC.

show abstract

Gene expression profile of peripheral blood in colorectal cancer

Abstract: A novel gene expression profile was associated with CRC and can potentially be applied to blood-based detection assays.

Cited by 29 publications

References 47 publications

Epigenome-wide association study of adiposity and future risk of obesity-related diseases

Epigenome-wide association study of adiposity and future risk of obesity-related diseases

An Encapsulation of Gene Signatures for Hepatocellular Carcinoma, MicroRNA-132 Predicted Target Genes and the Corresponding Overlaps

Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages

Contact Info

Product

Resources

About