Array-based gene expression, CGH and tissue data defines a 12q24 gain in neuroblastic tumors with prognostic implication

KNTC1, regulated by HPV E7, inhibits cervical carcinogenesis partially through Smad2

Cervical cancer is the second most common malignancy of the female reproductive tract worldwide. Although cervical cancer is caused by human papillomavirus (HPV) infection, its underlying pathogenesis requires further investigation. The present study investigated the role of kinetochore associated protein 1 (KNTC1) in cervical cancer and its association with the key virus oncoprotein, HPV E7. A series of bioinformatic analyses revealed that KNTC1 might be involved in the tumorigenesis of multiple human malignancies, including cervical cancer. Tissue microarray analysis showed that in vivo KNTC1 expression was higher in high-grade squamous intraepithelial lesions (HSILs) than in normal cervix and even higher in cervical cancer. In vitro silencing of KNTC1 increased the proliferation, invasion and migration of cervical cancer cell lines. Although not affecting apoptosis, KNTC1 silencing significantly promoted G1/S phase transition of the cell cycle. High-throughput analysis of mRNA expression showed that KNTC1 could regulate its downstream target protein Smad2 at the transcriptional level. Moreover, as the key oncoprotein of the virus, HPV E7 could inhibit the expression of KNTC1 protein, and decrease Smad2 protein expression with or without the aid of KNTC1. These results indicated that KNTC1 is a novel tumor suppressor that can impede the initiation and progression of cervical carcinoma, providing insight into the molecular mechanism by which HPV induces cervical cancer.

Follicular Thyroid Adenoma and Follicular Thyroid Carcinoma-A Common or Distinct Background? Loss of Heterozygosity in Comprehensive Microarray Study

Pre- and postsurgical differentiation between follicular thyroid adenoma (FTA) and follicular thyroid cancer (FTC) represents a significant diagnostic challenge. Furthermore, it remains unclear whether they share a common or distinct background and what the mechanisms underlying follicular thyroid lesions malignancy are. The study aimed to compare FTA and FTC by the comprehensive microarray and to identify recurrent regions of loss of heterozygosity (LOH). We analyzed formalin-fixed paraffin-embedded (FFPE) samples acquired from 32 Caucasian patients diagnosed with FTA (16) and FTC (16). We used the OncoScan™ microarray assay (Affymetrix, USA), using highly multiplexed molecular inversion probes for single nucleotide polymorphism (SNP). The total number of LOH was higher in FTC compared with FTA (18 vs. 15). The most common LOH present in 21 cases, in both FTA (10 cases) and FTC (11 cases), was 16p12.1, which encompasses many cancer-related genes, such as TP53, and was followed by 3p21.31. The only LOH present exclusively in FTA patients (56% vs. 0%) was 11p11.2-p11.12. The alteration which tended to be detected more often in FTC (6 vs. 1 in FTA) was 12q24.11-q24.13 overlapping FOXN4, MYL2, PTPN11 genes. FTA and FTC may share a common genetic background, even though differentiating rearrangements may also be detected.

KNTC1 as a putative tumor oncogene in pancreatic cancer

Purpose

Recent studies have demonstrated that kinetochore-associated protein 1 (KNTC1) plays a significant role in the carcinogenesis of numerous types of cancer. This study aimed to explore the role and possible mechanisms of KNTC1 in the development of pancreatic cancer.

Methods and results

We analyzed differentially expressed genes by RNA sequencing in three paired pancreatic cancer and para-cancerous tissue samples and found that the expression of KNTC1 was significantly upregulated in pancreatic cancer. A Cancer and Tumor Gene Map pan-analysis showed that high expression of KNTC1 was related to poor prognosis in 9499 tumor samples. With immunohistochemical staining, we found that the high expression of KNTC1 in pancreatic cancer was related to pathological grade and clinical prognosis. Similarly, RT-PCR results indicated that the expression of KNTC1 was higher in three groups of pancreatic cancer cell lines (BxPC-3, PANC-1, and SW1990) than in normal pancreatic ductal cells. We introduced lentivirus-mediated shRNA targeting KNTC1 into PANC-1 and SW1990 cells and found that KNTC1 knockdown significantly decreased cell growth and increased cell apoptosis compared to the control group cells. Bioinformatic analysis of the cell expression profile revealed that differential genes were mainly enriched in the cell cycle, mitosis, and STAT3 signaling pathways, and co-immunoprecipitation confirmed an interaction between KNTC1 and cell division cycle associated 8.

Conclusions

KNTC1 could be linked to the pathophysiology of pancreatic cancer and may be an early diagnostic marker of cervical precancerous lesions.

DDX55 promotes HCC progression via interacting with BRD4 and participating in exosome-mediated cell-cell communication

The involvement of DEAD‐box helicase 55 (DDX55) in oncogenesis has been suggested, but its biological role in hepatocellular carcinoma (HCC) remains unknown. The present study verified the upregulation of DDX55 in HCC tissues compared with non‐tumor controls. DDX55 displayed the highest prognostic values among the DEAD‐box protein family for recurrence‐free survival and overall survival of HCC patients. In addition, the effects of DDX55 in the promotion of HCC cell proliferation, migration, and invasion were determined ex vivo and in vivo. Mechanistically, we revealed that DDX55 could interact with BRD4 to form a transcriptional regulatory complex that positively regulated PIK3CA transcription. Following that, β‐catenin signaling was activated in a PI3K/Akt/GSK‐3β dependent manner, thus inducing cell cycle progression and epithelial–mesenchymal transition. Intriguingly, both DDX55 mRNA and protein were identified in the exosomes derived from HCC cells. Exosomal DDX55 was implicated in intercellular communication between HCC cells with high or low DDX55 levels and between HCC cells and endothelial cells, thereby promoting the malignant phenotype of HCC cells and angiogenesis. In conclusion, DDX55 may be a valuable prognostic biomarker and therapeutic target in HCC.

Kinetochore-associated protein 1 promotes the invasion and tumorigenicity of cervical cancer cells via matrix metalloproteinase-2 and matrix metalloproteinase-9

Cervical cancer, a common cancer in women, has become a serious social burden. Kinetochore-associated protein 1 (KNTC1) that regulates the cell cycle by regulating mitosis is related to the malignant behavior of different types of tumors. However, its role in the development of cervical cancer remains unclear. In this study, we initially explored the role of KNTC1 in cervical cancer. KNTC1 expression and relevant information were downloaded from The Cancer Genome Atlas (TCGA) and dataset GSE63514 in the Gene Expression Omnibus (GEO) database for bioinformatics analyses. Cell proliferation was detected by cell counting kit-8 (CCK8) and colony formation assays. Wound healing and Transwell assays were used to evaluate cell migration and invasion abilities. Protein expression levels of matrix metallopeptidase 2 (MMP2) and matrix metallopeptidase 9 (MMP9) were measured by western blotting. Nude mouse models of subcutaneous xenograft tumor were constructed to analyze tumor growth in vivo. CCK8 and colony formation assay results demonstrated that the proliferation rate of SiHa and C-33A cells decreased when KNTC1 was silenced. Western blot and Transwell assays indicated that KNTC1 knockdown weakened the invasion and migration abilities of SiHa and C-33A cells and decreased the expression of MMP-2 and MMP-9. In-vivo experiments suggested that the inhibition of KNTC1 reduced tumor growth. Taken together, our study showed that KNTC1 plays an important role in cervical cancer. Further, we verified the promotional effect of KNTC1 on cervical cancer through in-vivo and in-vitro experiments and speculated that KNTC1 might mediate tumor invasion via MMP9 and MMP2.

Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancer

Purpose: Cervical cancer (CC) is one of the most general gynecological malignancies and is associated with high morbidity and mortality. We aimed to select candidate genes related to the diagnosis and prognosis of CC.

Methods: The mRNA expression profile datasets were downloaded. We also downloaded RNA-sequencing gene expression data and related clinical materials from TCGA, which included 307 CC samples and 3 normal samples. Differentially expressed genes (DEGs) were obtained by R software. GO function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed in the DAVID dataset. Using machine learning, the optimal diagnostic mRNA biomarkers for CC were identified. We used qRT-PCR and Human Protein Atlas (HPA) database to exhibit the differences in gene and protein levels of candidate genes.

Results: A total of 313 DEGs were screened from the microarray expression profile datasets. DNA methyltransferase 1 (DNMT1), Chromatin Assembly Factor 1, subunit B (CHAF1B), Chromatin Assembly Factor 1, subunit A (CHAF1A), MCM2, CDKN2A were identified as optimal diagnostic mRNA biomarkers for CC. Additionally, the GEPIA database showed that the DNMT1, CHAF1B, CHAF1A, MCM2 and CDKN2A were associated with the poor survival of CC patients. HPA database and qRT-PCR confirmed that these genes were highly expressed in CC tissues.

Conclusion: The present study identified five DEmRNAs, including DNMT1, CHAF1B, CHAF1A, MCM2 and Kinetochore-related protein 1 (KNTC1), as potential diagnostic and prognostic biomarkers of CC.

Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer

Background and Objective

Globally, cervical cancer (CC) is the fourth most common cancer affecting women. Although effective screening reduces its incidence, it remains one of the most serious cancers threatening the health of women. Therefore, the purpose of this study is to find new genes that can be used as potential biomarkers for the prognosis of CC.

Methods and Results

After downloading three datasets such as GSE6791, GSE63678, and GSE63514 from the Gene Expression Omnibus (GEO), we combined the expression matrixes and analyzed them to obtain the differential expressed genes (DEGs). Next, using the STRING website, we performed the protein interaction network analysis. Subsequently, hub genes were screened using the R and Cytoscape software. Then, the expression difference and survival analyses of the hub genes were confirmed using GIPIA. Here, we established that the KNTC1 gene was correlated to the overall survival prognosis of CC. Besides, the expression of the KNTC1 gene in the GSE63514 dataset was significantly different from that of the normal cervix, cervical pre-cancerous lesions, and CC. Consequently, immunohistochemistry analysis showed that the results have a definite diagnostic value.

Conclusion

The KNTC1 gene could be linked with the pathophysiology of CC and maybe one of the early diagnostic markers for the diagnosis of cervical pre-cancerous lesions.

Combined targeting of the p53 and pRb pathway in neuroblastoma does not lead to synergistic responses

BACKGROUND

Despite intensive treatment protocols and recent advances, neuroblastomas still account for approximately 15% of all childhood cancer deaths. In contrast with adult cancers, p53 pathway inactivation in neuroblastomas is rarely caused by p53 mutation but rather by altered MDM2 or p14ARF expression. Moreover, neuroblastomas are characterised by high proliferation rates, frequently triggered by pRb pathway dysfunction due to aberrant expression of cyclin D1, CDK4 or p16INK4a. Simultaneous disturbance of these pathways can occur via co-amplification of MDM2 and CDK4 or homozygous deletion of CDKN2A, which encodes both p14ARF and p16INK4a.

METHODS AND RESULTS

We examined whether both single and combined inhibition of MDM2 and CDK4/6 is effective in reducing neuroblastoma cell viability. In our panel of ten cell lines with a spectrum of aberrations in the p53 and pRb pathway, idasanutlin and abemaciclib were the most potent MDM2 and CDK4/6 inhibitors, respectively. No correlation was observed between the genetic background and response to the single inhibitors. We confirmed this lack of correlation in isogenic systems overexpressing MDM2 and/or CDK4. In addition, combined inhibition did not result in synergistic effects. Instead, abemaciclib diminished the pro-apoptotic effect of idasanutlin, leading to slightly antagonistic effects. In vivo treatment with idasanutlin and abemaciclib led to reduced tumour growth compared with single drug treatment, but no synergistic response was observed.

CONCLUSION

We conclude that p53 and pRb pathway aberrations cannot be used as predictive biomarkers for neuroblastoma sensitivity to MDM2 and/or CDK4/6 inhibitors. Moreover, we advise to be cautious with combining these inhibitors in neuroblastomas.

M-Phase Phosphoprotein 9 upregulation associates with poor prognosis and activates mTOR signaling in gastric cancer

The function of M-Phase Phosphoprotein 9 (MPHOSPH9) has not been investigated in gastric cancer yet. In the present study, the public cancer databases Oncomine and TCGA were analyzed, and MPHOSPH9 was found upregulated in gastric cancer tumor tissues. Immunohistochemistry (IHC) was also carried out to further confirm the results, and IHC analysis showed MPHOSPH9 was elevated in tumor tissues compared with the paracancerous tissues. QRT-PCR analysis also revealed that MPHOSPH9 mRNA was upregulated in gastric cancer cell lines. In addition, Kaplan-Meier estimates showed gastric cancer patients with high MPHOSPH9 level predicted a poor prognosis. Then, Western blot and CCK-8 assay showed overexpressed MPHOSPH9 enhanced gastric cancer cell proliferation, but MPHOSPH9 knockdown suppressed gastric cancer cell proliferation. Additionally, Western blot showed that MPHOSPH9 regulated the activation of mTOR, and overexpressed MPHOSPH9 reduced the inhibitory effects of mTOR inhibitors on cell survival in gastric cancer cells. Taken together, our results suggested that MPHOSPH9 .could be an oncogene in gastric cancer by regulating mTOR signaling.

RSRC1 suppresses gastric cancer cell proliferation and migration by regulating PTEN expression

Arginine/serine-rich coiled coil 1 (RSRC1) is a gene which plays a significant role in the constitutive and alternative splicing of mRNA and transcriptional regulation. It has been implicated in various neurological disorders, as well as in cancer. However, its role in gastric cancer (GC) remains unknown. Thus, the present study aimed to investigate the role of RSRC1 in GC. RSRC1 expression in GC tissues was determined by RT-qPCR and immunohistochemical staining. The effects of RSRC1 on cell proliferation and migration were detected using a Cell Counting Kit-8 assay, 5-ethynyl-2′-deoxyuridine (EdU) incorporation assay and a Transwell migration assay. Western blot analysis and RT-qPCR were used to explore the molecular mechanisms of of action of RSRC1 in GC. The results indicated that RSRC1 expression was downregulated in GC tissues compared to paired normal tissues and the reduced expression of RSRC1 was shown to contribute to a poor prognosis of patients with GC. RSRC1 knockdown promoted the proliferation and migration of GC cells. In addition, the knockdown of RSRC1 decreased the expression of phosphatase and tensin homolog deleted on chromosome 10 (PTEN), a potent tumor suppressor gene controlling cellular growth and viability. On the whole, the findings of the present study indicate that RSRC1 functions as a tumor suppressor gene in GC and that it may exert its effects by regulating PTEN expression.

Multi-omics integration for neuroblastoma clinical endpoint prediction

BACKGROUND

High-throughput methodologies such as microarrays and next-generation sequencing are routinely used in cancer research, generating complex data at different omics layers. The effective integration of omics data could provide a broader insight into the mechanisms of cancer biology, helping researchers and clinicians to develop personalized therapies.

RESULTS

In the context of CAMDA 2017 Neuroblastoma Data Integration challenge, we explore the use of Integrative Network Fusion (INF), a bioinformatics framework combining a similarity network fusion with machine learning for the integration of multiple omics data. We apply the INF framework for the prediction of neuroblastoma patient outcome, integrating RNA-Seq, microarray and array comparative genomic hybridization data. We additionally explore the use of autoencoders as a method to integrate microarray expression and copy number data.

CONCLUSIONS

The INF method is effective for the integration of multiple data sources providing compact feature signatures for patient classification with performances comparable to other methods. Latent space representation of the integrated data provided by the autoencoder approach gives promising results, both by improving classification on survival endpoints and by providing means to discover two groups of patients characterized by distinct overall survival (OS) curves.

REVIEWERS

This article was reviewed by Djork-Arné Clevert and Tieliu Shi.

The lncRNA HNF1A-AS1 is a negative prognostic factor and promotes tumorigenesis in osteosarcoma

Recent studies have revealed that long noncoding RNA HNF1A‐antisense 1 (HNF1A‐AS1) plays an important role in the development of several human malignancy entities. However, the expression and function of HNF1A‐AS1 in the carcinogenesis and development of osteosarcoma remains unknown. In this study, we detected the HNF1A‐AS1 levels in human osteosarcoma tissues and cell lines by quantitative real‐time polymerase chain reaction (qRT‐PCR), and investigated its role in osteosarcoma by using in vitro assays. Our study showed that HNF1A‐AS1 expression was significantly up‐regulated in human osteosarcoma tissues and cell lines compared with their normal counterparts, and its expression level was positively correlated with the distance metastasis (P = 0.009) and tumour stage (P = 0.019). Moreover, Kaplan–Meier curves with the log‐rank test showed that higher expression of HNF1A‐AS1 conferred a significantly poorer survival and multivariate Cox proportional hazards analysis revealed that HNF1A‐AS1 was an independent risk factor of overall survival. In addition, the expression of HNF1A‐AS1 in serum is correlated with patients’ status and receiver operating characteristic (ROC) curve analysis demonstrated that HNF1A‐AS1 could distinguish patients with osteosarcoma from healthy individuals (the area under curve 0.849, P < 0.001). Furthermore, in vitro knockdown of HNF1A‐AS1 by siRNA significantly inhibited cell proliferation and G₁/S transition, and suppressed migration and invasion by reducing the epithelial‐mesenchymal transition (EMT) program in osteosarcoma cells. Taken together, our data suggested that HNF1A‐AS1 is a novel molecule involved in osteosarcoma progression, which may provide as a potential diagnostic, prognostic biomarker and therapeutic target.

Common variants upstream of MLF1 at 3q25 and within CPZ at 4p16 associated with neuroblastoma

Neuroblastoma is a cancer of the developing sympathetic nervous system that most commonly presents in young children and accounts for approximately 12% of pediatric oncology deaths. Here, we report on a genome-wide association study (GWAS) in a discovery cohort or 2,101 cases and 4,202 controls of European ancestry. We identify two new association signals at 3q25 and 4p16 that replicated robustly in multiple independent cohorts comprising 1,163 cases and 4,396 controls (3q25: rs6441201 combined P = 1.2x10^-11, Odds Ratio 1.23, 95% CI:1.16–1.31; 4p16: rs3796727 combined P = 1.26x10^-12, Odds Ratio 1.30, 95% CI: 1.21–1.40). The 4p16 signal maps within the carboxypeptidase Z (CPZ) gene. The 3q25 signal resides within the arginine/serine-rich coiled-coil 1 (RSRC1) gene and upstream of the myeloid leukemia factor 1 (MLF1) gene. Increased expression of MLF1 was observed in neuroblastoma cells homozygous for the rs6441201 risk allele (P = 0.02), and significant growth inhibition was observed upon depletion of MLF1 (P < 0.0001) in neuroblastoma cells. Taken together, we show that common DNA variants within CPZ at 4p16 and upstream of MLF1 at 3q25 influence neuroblastoma susceptibility and MLF1 likely plays an important role in neuroblastoma tumorigenesis.

Neuroblastoma is an embryonal tumor of the developing sympathetic nervous system that accounts for 12% of childhood cancer deaths. Approximately 1–2% of cases are inherited in an autosomal dominant fashion. These familial cases often harbor germline mutations in ALK or PHOX2B. However, the vast majority of neuroblastomas appear to arise sporadically. We are studying sporadic neuroblastoma through an ongoing genome-wide association study (GWAS). To date, this effort has identified single nucleotide polymorphisms (SNPs) within or upstream of CASC15 and CASC14, BARD1, LMO1, DUSP12, HSD17B12, DDX4/IL31RA, HACE1, LIN28B, and TP53, along with a common copy number variation (CNV) within NBPF23 at chromosome 1q21.1, each being highly associated with neuroblastoma. Here, we report on genome-wide association study (GWAS) comprising 3,264 neuroblastoma patients and 8,598 control subjects. We identify two new association signals at 3q25 and 4p16 (3q25: rs6441201 combined P = 1.2x10^-11, Odds Ratio 1.23, 95% CI:1.16–1.31; 4p16: rs3796727 combined P = 1.26x10^-12, Odds Ratio 1.30, 95% CI: 1.21–1.40). The 3q25 signal resides upstream of the MLF1 gene and the 4p16 signal maps to the CPZ gene. We further demonstrate that neuroblastoma cells homozygous for the risk allele at 3q25 express higher levels of MLF1 and that silencing of MLF1 in neuroblastoma cells results in significant growth inhibition.

Epigenetic siRNA and Chemical Screens Identify SETD8 Inhibition as a Therapeutic Strategy for p53 Activation in High-Risk Neuroblastoma

Given the paucity of druggable mutations in high-risk neuroblastoma (NB), we undertook chromatin-focused small interfering RNA and chemical screens to uncover epigenetic regulators critical for the differentiation block in high-risk NB. High-content Opera imaging identified 53 genes whose loss of expression led to a decrease in NB cell proliferation and 16 also induced differentiation. From these, the secondary chemical screen identified SETD8, the H4^K20me1 methyltransferase, as a druggable NB target. Functional studies revealed that SETD8 ablation rescued the pro-apoptotic and cell-cycle arrest functions of p53 by decreasing p53^K382me1, leading to activation of the p53 canonical pathway. In pre-clinical xenograft NB models, genetic or pharmacological (UNC0379) SETD8 inhibition conferred a significant survival advantage, providing evidence for SETD8 as a therapeutic target in NB.

The Detection of Genetic Parameters for Prognostic Stratification of Neuroblastoma Using Multiplex Ligation-Dependent Probe Amplification Technique

BACKGROUND

Neuroblastoma (NB) is a neoplasm of the sympathetic nervous system and the most frequent extra cranial solid tumor of early childhood. These tumors display a wide range of clinical behavior and are characterized by complex chromosomal changes, some of which are associated with distinct clinical phenotypes. We investigated the contribution of genetic variables to staging and histology by logistic regression analyses.

METHODS

We used multiplex ligation-dependent probe amplification (MLPA) to detect segmental genomic imbalances and gene copy number changes in 202 primary NBs.

RESULTS

Cases with NB were categorized into four distinct groups based on the genomic changes. Group 1 (48 cases, 23.7%) contained tumors with a 1p deletion and/or MYCN gene amplification (MNA). Group 2 included 46 cases (22.8%) with 3p and/or 11q deletions without 1p deletion and MYCN gene amplification. Tumors harboring at least two commonly observed deletions with or without MNA were classified as Group 3 (25 cases, 12.4%). Tumors with chromosomal imbalance other than MYCN gene amplification and 1p, 3p, and 11q deletions were in Group 4 (83 cases, 41.1%). MYCN gene amplification and 17q gain were significant predisposing factors for unfavorable histology. Significant correlations were detected between 1p deletion and MYCN gene amplification; 3p and 11q deletions; and 11q deletion and 17q gain.

CONCLUSION

MLPA can be used effectively to simultaneously detect multiple genomic imbalances and these changes can be utilized to classify neuroblastomas by prognostic subtypes. The genetic changes detected in NB in this study and their associations with clinical characteristics are in line with previously published reports.

A LIN28B-RAN-AURKA Signaling Network Promotes Neuroblastoma Tumorigenesis

A more complete understanding of aberrant oncogenic signaling in neuroblastoma, a malignancy of the developing sympathetic nervous system, is paramount to improving patient outcomes. Recently, we identified LIN28B as an oncogenic driver in high-risk neuroblastoma. Here, we identify the oncogene RAN as a LIN28B target and show regional gain of chromosome 12q24 as an additional somatic alteration resulting in increased RAN expression. We show that LIN28B influences RAN expression by promoting RAN Binding Protein 2 expression and by directly binding RAN mRNA. Further, we demonstrate a convergence of LIN28B and RAN signaling on Aurora kinase A activity. Collectively, these findings demonstrate that LIN28B-RAN-AURKA signaling drives neuroblastoma oncogenesis, suggesting that this pathway may be amenable to therapeutic targeting.

Copy number gain of granulin-epithelin precursor (GEP) at chromosome 17q21 associates with overexpression in human liver cancer

BACKGROUND

Granulin-epithelin precursor (GEP), a secretory growth factor, demonstrated overexpression in various human cancers, however, mechanism remain elusive. Primary liver cancer, hepatocellular carcinoma (HCC), ranks the second in cancer-related death globally. GEP controlled growth, invasion, metastasis and chemo-resistance in liver cancer. Noted that GEP gene locates at 17q21 and the region has been frequently reported to be amplified in subset of HCC. The study aims to investigate if copy number gain would associate with GEP overexpression.

METHODS

Quantitative Microsatellite Analysis (QuMA) was used to quantify the GEP DNA copy number, and fluorescent in situ hybridization (FISH) was performed to consolidate the amplification status. GEP gene copy number, mRNA expression level and clinico-pathological features were analyzed.

RESULTS

GEP DNA copy number determined by QuMA corroborated well with the FISH data, and the gene copy number correlated with the expression levels (n = 60, r = 0.331, P = 0.010). Gain of GEP copy number was observed in 20% (12/60) HCC and associated with hepatitis B virus infection status (P = 0.015). In HCC with increased GEP copy number, tight association between GEP DNA and mRNA levels were observed (n = 12, r = 0.664, P = 0.019).

CONCLUSIONS

Gain of the GEP gene copy number was observed in 20% HCC and the frequency comparable to literatures reported on the chromosome region 17q. Increased gene copy number contributed to GEP overexpression in subset of HCC.

Nephroblastomas show low expression of microR-204 and high expression of its target, the oncogenic transcription factor MEIS1

By comparing several studies we identified a possible deregulation of the transcription factors PBX2 (pre-B-cell leukemia homeobox 2) and one of its binding partners, MEIS1 (Meis homeobox 1) in nephroblastomas. The regulation of MEIS1 is complex, and its expression is known to be influenced by changes of promoter methylation and binding of microRNA-204 (miR-204). Therefore, in our study, we assessed the expression of MEIS1 and PBX2 and the factors regulating expression of MEIS1 in nephroblastomas. MEIS1 and PBX2 messenger RNA (mRNA) and protein levels were investigated by quantitative real-time-polymerase chain reaction (qRT-PCR) and immunohistochemistry. Promoter methylation of MEIS1 was evaluated using a methylation-specific PCR assay. Expression levels of miR-204 were examined by qRT-PCR. Eighteen of 21 nephroblastomas showed a high level of MEIS1 mRNA, and 22 of 26 samples had a specific nuclear protein expression. MicroRNA-204 had a statistically significantly lower expression in all nephroblastomas investigated compared with renal parenchyma, but no change of MEIS1 promoter methylation status was noted. Eleven of 23 nephroblastomas had a high expression of PBX2 mRNA, and 15 of 23 samples had a specific nuclear protein expression was noted. In our study, we demonstrated an expression of MEIS1 and its binding partner PBX2 in most nephroblastomas. The statistically significantly lower expression of miR-204 in all nephroblastomas investigated might point to an involvement of miR-204 in the regulation of MEIS1 in nephroblastomas.

p53, SKP2, and DKK3 as MYCN Target Genes and Their Potential Therapeutic Significance

Neuroblastoma is the most common extra-cranial solid tumor of childhood. Despite significant advances, it currently still remains one of the most difficult childhood cancers to cure, with less than 40% of patients with high-risk disease being long-term survivors. MYCN is a proto-oncogene implicated to be directly involved in neuroblastoma development. Amplification of MYCN is associated with rapid tumor progression and poor prognosis. Novel therapeutic strategies which can improve the survival rates whilst reducing the toxicity in these patients are therefore required. Here we discuss genes regulated by MYCN in neuroblastoma, with particular reference to p53, SKP2, and DKK3 and strategies that may be employed to target them.

Detection of alternative lengthening of telomeres by telomere quantitative PCR

Alternative lengthening of telomeres (ALT) is one of the two known telomere length maintenance mechanisms that are essential for the unlimited proliferation potential of cancer cells. Existing methods for detecting ALT in tumors require substantial amounts of tumor material and are labor intensive, making it difficult to study prevalence and prognostic significance of ALT in large tumor cohorts. Here, we present a novel strategy utilizing telomere quantitative PCR to diagnose ALT. The protocol is more rapid than conventional methods and scrutinizes two distinct characteristics of ALT cells concurrently: long telomeres and the presence of C-circles (partially double-stranded circles of telomeric C-strand DNA). Requiring only 30 ng of genomic DNA, this protocol will facilitate large-scale studies of ALT in tumors and can be readily adopted by clinical laboratories.

Identification of BIRC6 as a novel intervention target for neuroblastoma therapy

BACKGROUND

Neuroblastoma are pediatric tumors of the sympathetic nervous system with a poor prognosis. Apoptosis is often deregulated in cancer cells, but only a few defects in apoptotic routes have been identified in neuroblastoma.

METHODS

Here we investigated genomic aberrations affecting genes of the intrinsic apoptotic pathway in neuroblastoma. We analyzed DNA profiling data (CGH and SNP arrays) and mRNA expression data of 31 genes of the intrinsic apoptotic pathway in a dataset of 88 neuroblastoma tumors using the R2 bioinformatic platform ( http://r2.amc.nl). BIRC6 was selected for further analysis as a tumor driving gene. Knockdown experiments were performed using BIRC6 lentiviral shRNA and phenotype responses were analyzed by Western blot and MTT-assays. In addition, DIABLO levels and interactions were investigated with immunofluorescence and co-immunoprecipitation.

RESULTS

We observed frequent gain of the BIRC6 gene on chromosome 2, which resulted in increased mRNA expression. BIRC6 is an inhibitor of apoptosis protein (IAP), that can bind and degrade the cytoplasmic fraction of the pro-apoptotic protein DIABLO. DIABLO mRNA expression was exceptionally high in neuroblastoma but the protein was only detected in the mitochondria. Upon silencing of BIRC6 by shRNA, DIABLO protein levels increased and cells went into apoptosis. Co-immunoprecipitation confirmed direct interaction between DIABLO and BIRC6 in neuroblastoma cell lines.

CONCLUSION

Our findings indicate that BIRC6 may have a potential oncogenic role in neuroblastoma by inactivating cytoplasmic DIABLO. BIRC6 inhibition may therefore provide a means for therapeutic intervention in neuroblastoma.

Neuroblastoma therapy: what is in the pipeline?

Despite the expansion of knowledge about neuroblastoma (NB) in recent years, the therapeutic outcome for children with a high-risk NB has not significantly improved. Therefore, more effective therapies are needed. This might be achieved by aiming future efforts at recently proposed but not yet developed targets for NB therapy. In this review, we discuss the recently proposed molecular targets that are in clinical trials and, in particular, those that are not yet explored in the clinic. We focus on the selection of these molecular targets for which promising in vitro and in vivo results have been obtained by silencing/inhibiting them. In addition, these selected targets are involved at least in one of the NB tumorigenic processes: proliferation, anti-apoptosis, angiogenesis and/or metastasis. In particular, we will review a recently proposed target, the microtubule-associated proteins (MAPs) encoded by doublecortin-like kinase gene (DCLK1). DCLK1-derived MAPs are crucial for proliferation and survival of neuroblasts and are highly expressed not only in NB but also in other tumours such as gliomas. Additionally, we will discuss neuropeptide Y, its Y2 receptor and cathepsin L as examples of targets to decrease angiogenesis and metastasis of NB. Furthermore, we will review the micro-RNAs that have been proposed as therapeutic targets for NB. Detailed investigation of these not yet developed targets as well as exploration of multi-target approaches might be the key to a more effective NB therapy, i.e. increasing specificity, reducing toxicity and avoiding long-term side effects.