Tissue microarray for high-throughput analysis of gene expression profiles in hepatocellular carcinoma

Intelligent Detection Platform for Simultaneous Detection of Multiple MiRNAs Based on Smartphone

As a marker of malignant tumors, miRNA is closely related to the occurrence and metastasis of tumors. How to achieve rapid and sensitive real-time detection is important for clinical prevention and treatment of cancer. In this study, an intelligent detection platform based on smartphone image processing technology made point-of-care testing a reality. This new smart approach could detect multiple targets simultaneously and sensitively. Hydrogel microparticles of different coding modes (shapes, numbers) were prepared by flow lithography to detect different miRNAs. After sandwich immunoassays, different shapes of hydrogels showed different fluorescence intensities depending on their targets. Images were captured by a smartphone and then analyzed by image recognition processing software installed on the smartphone. The concentration of miRNA was obtained within 10 s. The entire reaction process did not exceed 2 h. This intelligent and portable detection platform for miRNAs was reliable and the limit of detection reached the femtomole level. This work provided a demonstration of intelligent, portable, real-time detection of tumor markers.

MicroRNA profile in HBV-induced infection and hepatocellular carcinoma

Background

MicroRNAs (miRNAs) exhibit essential regulatory functions related to cell growth, apoptosis, development and differentiation. Dysregulated expression of miRNAs is associated with a wide variety of human diseases. As such miRNA signatures are valuable as biomarkers for disease and for making treatment decisions. Hepatitis B virus (HBV) is a major risk factor for hepatocellular carcinoma (HCC). Here we screened for miRNAs in chronic HBV associated HCC.

Methods

To determine the miRNAs in HCC occurrence associated with HBV infection, we analyzed global miRNA expression profiles in 12 pairs of HCC and adjacent matched non-HCC tissues from HBV-positive and HBV-negative patients using microarray analyses. The microarray result was validated by real-time PCR in 32 HBV-positive and 24 HBV-negative patient HCC samples. The potential candidate target genes of the miRNAs were predicted by miRWalk software. Genes simultaneously predicted as targets by two or more miRNAs were subjected to GO and KEGG pathway analysis. The miRNA regulatory network analysis was performed using the Ingenuity Pathway Analysis (IPA) software.

Results

Eight miRNAs (miR-223, miR-98, miR-15b, miR-199a-5p, miR-19b, miR-22, miR-451, and miR-101) were involved in HBV-unrelated HCC, 5 miRNAs (miR-98, miR-375, miR-335, miR-199a-5p, and miR-22) were involved in HBV infection, and 7 miRNAs (miR-150, miR-342-3p, miR-663, miR-20b, miR-92a-3p, miR-376c-3p and miR-92b) were specifically altered in HBV-related HCC. Gene Ontology and KEGG analyses predict that these HBV-related HCC miRNAs are involved in the regulation of: transcription, RNA polymerase II promoter, phosphorylation of proteins through MAPK signaling pathway, focal adhesion, and actin cytoskeleton. IPA analysis also suggest that these miRNAs act on AGO2, TP53, CCND1, and 11 other genes that significantly influence HCC occurrence and HBV infection.

Conclusion

Our data indicates that the unique 7 miRNAs expression signature could be involved in the development HBV- related HCC.

Electronic supplementary material

The online version of this article (10.1186/s12885-017-3816-1) contains supplementary material, which is available to authorized users.

Epigenetically regulated miR-449a enhances hepatitis B virus replication by targeting cAMP-responsive element binding protein 5 and modulating hepatocytes phenotype

Cellular microRNAs (miRNAs) are able to influence hepatitis B virus (HBV) replication directly by binding to HBV transcripts or indirectly by targeting cellular factors. Here, we investigate the effect of epigenetically regulated miR-449a on HBV replication and the underlying mechanisms. miR-449a expression was lower in human hepatocellular carcinoma (HCC) cells than in primary hepatocytes and could be induced by trichostatin A. Ectopic miR-449a expression in HCC cells strongly enhanced HBV replication, transcription, progeny virions secretion, and antigen expression in a dose-dependent manner. miR-449a directly targeted cAMP-responsive element binding protein 5 (CREB5), which in turn induced the expression of farnesoid X receptor α (FXRα), a transcription factor that facilitates HBV replication. CREB5 knockdown and overexpression demonstrated that it is a negative regulator of HBV replication. Additionally, miR-449a overexpression inhibited proliferation, caused cell cycle arrest, and promoted HCC cell differentiation. The results indicated that epigenetically regulated miR-449a targets CREB5 to increase FXRα expression, thereby promoting HBV replication and gene expression. Our findings provide a new understanding of the role of miRNAs in HBV replication.

Overexpression of HOXA10 promotes gastric cancer cells proliferation and HOXA10(+)/CD44(+) is potential prognostic biomarker for gastric cancer

Gastric cancer (GC) is a malignant cancer with poor prognosis. This study aims to investigate the roles of homeobox A10 (HOXA10) in GC and the correlations between HOXA10/CD44 expression and GC prognosis. Based on qRT-PCR and Western Blot analyses in 50 pairs of fresh GC samples and adjacent normal samples, it is identified that HOXA10 was significantly up-regulated in GC tissues at mRNA and protein levels. Cell proliferation, migration, and invasion were enhanced in GC cells with overexpressed HOXA10, while inhibited in cells with silenced HOXA10. Through IPA software, HOXA10 was predicted to interact with CD44 via MSN, which was preliminarily confirmed by using Western Blot. Through immunohistochemistry and tissue microarray (N=264), it is found that HOXA10 expression was significantly correlated with tumor size (P=0.011) and CD44 expression (P<0.001), while CD44 expression was significantly correlated with tumor size (P<0.001), depth of tumor invasion (P<0.001), lymph node metastasis (P<0.001), distant metastasis (P=0.001), UICC stage (P<0.001), histological differentiation (P<0.001), and HOXA10 expression (P<0.001). Additionally, the over-all survival and disease-free survival of HOXA10(+)/CD44(+) patients were dramatically decreased in comparison with that of HOXA10(+)/CD44(-), HOXA10(-)/CD44(+), or HOXA10(-)/CD44(-) patients (P<0.001), suggesting that the combinatory expression of HOXA10 and CD44 was correlated with poor GC prognosis. In conclusion, HOXA10 and CD44 might play roles in GC tumorigenesis, metastasis, and invasion. HOXA10(+)/CD44(+) expression might serve as a prognostic biomarker for GC, which needs more studies to validate.

HBV induced HCC: major risk factors from genetic to molecular level

Hepatocellular carcinoma (HCC) is a deadly and emerging disease leading to death in Asian countries. High hepatitis B virus (HBV) load and chronic hepatitis B (CHB) infection increase the risk of developing HCC. HBV is a DNA virus that can integrate DNA into host genome thereby increase the yield of transactivator protein HBxAg that may deregulate many pathways involving in metabolism of cells. Several monogenic and polygenic risk factors are also involved in HCC development. This review summarizes the mechanism involved in HCC development and discusses some promising therapies to make HCC curative.

E2F-1 is overexpressed and pro-apoptotic in human hepatocellular carcinoma

E2F-1 is a transcription factor involved in DNA synthesis and repair, cell proliferation, and apoptosis. Hyposphorylated pRb represses E2F-1 action in early G1 phase, while in late G1, pRb hyperphosphorylation leads to E2F-1 release and activation. In vitro studies have shown that E2F-1 may act either as oncogene or as tumor suppressor gene. We evaluated immunohistochemical expression of E2F-1 protein in chronic viral liver disease and hepatocellular carcinoma (HCC) and correlated this with clinicopathological parameters, cell proliferation, apoptosis, and the expression of E2F-1-regulators, pRb, and phospho-pRb (Ser795). In liver biopsies from 30 patients with chronic viral hepatitis, including 22 with cirrhosis without HCC, and 57 with cirrhosis with HCC, E2F-1 expression was assessed by immunohistochemistry. In chronic hepatitis and cirrhosis, hepatocytes and cholangiocytes demonstrated mild cytoplasmic and/or nuclear membrane E2F-1 immunostaining. In contrast, all HCC (100 %) showed strong nuclear E2F-1 immunostaining, with or without membrane accentuation, while a minority demonstrated additional moderate cytoplasmic immunostaining. Abnormally low pRb and phospho-pRb expression was seen in 70 % and 67.9 % of HCC, respectively. In HCC, nuclear E2F-1 expression was inversely correlated with phospho-pRb expression (p = 0.001) and positively related to tumor apoptotic index (p = 0.025). No significant correlation was found between E2F-1 expression and patient demographics, HCC etiology, tumor grade, pRb, p53 expression, or cell proliferation. In conclusion, we show that the increased expression of E2F-1 protein in human HCC is correlated with enhanced tumor cell apoptosis supporting a pro-apoptotic role of E2F-1 in human HCC.

Detection of Delta-like 4 expression in gastric cancer and its clinical significance by tissue microarray

AIM: To explore the expression of Delta-like 4 (DLL4) and its relations with the angiogenesis in gastric cancer.

METHODS: EnVision immunohistochemical staining was used to detect the expression of DLL4. The microvessel density (MVD) was calculated after CD34 staining for microvessel endothelium and the correlation between their roles and the pathological behavior of gastric carcinoma was investigated.

RESULTS: The expression of DLL4 in gastric cancer was significantly higher than that in normal gastric mucosa (85.9% vs 35.3%, P < 0.01). The over-expression of DLL4 in gastric cancer was positively related to the metastasis (r = 0.612, P < 0.01) and invasion depth (r = 0.482, P < 0.01), while not related to the histological types and Borrmann types. The MVD in gastric cancer tissues was notably higher than that in normal mucosal tissues (66.5 ± 18.6 vs 34.2 ± 16.4, P < 0.01). MVD was correlated with the histological types (r = 0.506, P < 0.01) and metastasis (r = 0.426, P < 0.01), while it was not correlated with the depth of invasion and Borrmann types. The MVD of DLL4-positive group was higher than that of DLL4-negative one (70.5 ± 16.2 vs 32.5 ± 10.4, P < 0.01), and the expression of DLL4 and MVD were positively correlated (r = 0.521, P < 0.01).

CONCLUSION: DLL4 expression may play an important role in gastric carcinogenesis by promoting vascular differentiation, tumor invasion and metastasis.