Comparison of Prognostic MicroRNA Biomarkers in Blood and Tissues for Gastric Cancer - PubMed (original) (raw)

Review

. 2016 Jan 1;7(1):95-106.

doi: 10.7150/jca.13340. eCollection 2016.

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Review

Comparison of Prognostic MicroRNA Biomarkers in Blood and Tissues for Gastric Cancer

Wenying Yan et al. J Cancer. 2016.

Abstract

Gastric cancer (GC) still keeps up high mortality worldwide with poor prognosis. Efficient and non-invasive prognostic biomarkers are urgently needed. MicroRNAs are non-coding RNAs playing roles in post-transcriptional gene regulation, which contribute to various biological processes such as development, differentiation and carcinogenesis. MicroRNA expression profiles have been associated with the prognosis and outcome in GC. MicroRNA prognostic biomarkers have been identified from blood or tissues samples, but with different prognostic features. Understanding the various roles of microRNAs in different sample sources of GC will provide deep insights into GC progression. In this review, we highlight the distinct prognostic roles of microRNAs biomarkers in blood and tissue according to their relationships with prognostic parameters, survival rates and target pathways. This will be useful for non-invasive biomarker development and selection in prognosis of GC.

Keywords: blood; gastric cancer; microRNA; prognostic biomarker; tissues.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interest exists.

Figures

Figure 1

Figure 1

Association between clinicopathological features and microRNA biomarkers. MicroRNAs in red and green denote the up-regulated and down-regulated expression in GC. MicroRNAs in black denote that the microRNAs were differentially expressed between two-sample groups other than GC patient and healthy controls, e.g. between recurrence and non-recurrence groups. microRNAs marked with underline present the microRNAs could be prognostic markers both in tissues and blood.

Figure 2

Figure 2

(a) Distribution of the number of clinicopathological features correlated with microRNAs. X axis is the number of clinicopathological features. Y axis is the percent of microRNAs in blood or tissues that correlated with different number of features. (b) Distribution of expression pattern of microRNA biomarkers from blood and tissues with poor survival of GC patients. Red is the microRNAs from blood and blue is from tissues. Numbers above the bars are the number of microRNA biomarkers in corresponding group. (c) The Venn diagram for microRNA prognostic biomarkers in blood and tissue. Blue and red circles represent microRNAs in tissue and blood respectively.

Figure 3

Figure 3

Enrichment analyses of target genes of microRNA biomarkers in tissue and blood. (a) The Venn diagram for numbers of significantly enriched pathways. The blue and red circles represent pathways enriched by targets of microRNAs in tissue and blood respectively. (b) Top 10 significantly enriched pathways by targets of microRNA biomarker from GC tissue. (c) Top 10 significantly enriched pathways by targets of microRNA biomarker from GC blood.

References

    1. Hamilton JP, Meltzer SJ. A review of the genomics of gastric cancer. Clin Gastroenterol Hepatol. 2006;4:416–25. - PubMed
    1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893–917. - PubMed
    1. Meyer HJ, Wilke H. Treatment strategies in gastric cancer. Dtsch Arztebl Int. 2011;108:698–705. quiz 6. - PMC - PubMed
    1. Wohrer SS, Raderer M, Hejna M. Palliative chemotherapy for advanced gastric cancer. Ann Oncol. 2004;15:1585–95. - PubMed
    1. Zhang W, Zang J, Jing X, Sun Z, Yan W, Yang D. et al. Identification of candidate miRNA biomarkers from miRNA regulatory network with application to prostate cancer. J Transl Med. 2014;12:66. - PMC - PubMed

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