DNLC: differential network local consistency analysis

BACKGROUND

The biological network is highly dynamic. Functional relations between genes can be activated or deactivated depending on the biological conditions. On the genome-scale network, subnetworks that gain or lose local expression consistency may shed light on the regulatory mechanisms related to the changing biological conditions, such as disease status or tissue developmental stages.

RESULTS

In this study, we develop a new method to select genes and modules on the existing biological network, in which local expression consistency changes significantly between clinical conditions. The method is called DNLC: Differential Network Local Consistency. In simulations, our algorithm detected artificially created local consistency changes effectively. We applied the method on two publicly available datasets, and the method detected novel genes and network modules that were biologically plausible.

CONCLUSIONS

The new method is effective in finding modules in which the gene expression consistency change between clinical conditions. It is a useful tool that complements traditional differential expression analyses to make discoveries from gene expression data. The R package is available at https://cran.r-project.org/web/packages/DNLC.

Clinicopathologic and Prognostic Significance of the Zinc Finger of the Cerebellum Family in Invasive Breast Cancer

Purpose

Five members of the zinc finger of the cerebellum (ZIC) family-ZIC1, ZIC2, ZIC3, ZIC4, and ZIC5-have been shown to be involved in various carcinomas. Here, we aimed to explore the clinicopathologic and prognostic roles of ZIC family members in invasive breast cancer patients using immunohistochemical analysis, western blotting analysis, and real-time quantitative polymerase chain reaction (RT-qPCR).

Methods

A total of 241 female invasive breast cancer patients who underwent radical mastectomy between 2009 and 2011 were enrolled. ZIC proteins in 241 pairs of breast tumors and corresponding normal tissues were investigated using immunohistochemistry and the clinicopathologic roles of proteins were analyzed using Pearson's chi-square test. Kaplan-Meier curves and Cox regression analysis were also used to analyze the prognostic value of the ZIC proteins. In addition, 12 pairs of fresh-frozen breast tumors and matched normal tissues were used in the western blotting analysis and RT-qPCR.

Results

Only ZIC1 expression in normal tissues was obviously higher than that in tumors (p<0.001). On multivariate analysis, ZIC1 expression (in overall survival analysis: hazard ratio [HR], 0.405, 95% confidence interval [CI], 0.233-0.702, p=0.001; in disease-free survival analysis: HR, 0.395, 95% CI, 0.234-0.669, p=0.001) was identified as a prognostic indicator of invasive breast cancer.

Conclusion

ZIC1, but not the other proteins, was obviously decreased in breast tumors and associated with clinicopathologic factors. Thus, ZIC1 might be a novel indicator to predict the overall and disease-free survival of invasive breast cancer patients.

Integrin α9 gene promoter is hypermethylated and downregulated in nasopharyngeal carcinoma

Epigenetic silencing of tumor suppressor genes (TSGs) by promoter methylation can be an early event in the multi-step process of carcinogenesis. Human chromosome 3 contains clusters of TSGs involved in many cancer types including nasopharyngeal carcinoma (NPC), the most common cancer in Southern China. Among ten candidate TSGs identified in chromosome 3 using NotI microarray, ITGA9 and WNT7A could be validated. 5'-aza-2' deoxycytidine treatment restored the expression of ITGA9 and WNT7A in two NPC cell lines. Immunostaining showed strong expression of these genes in the membrane and cytoplasm of adjacent control nasopharyngeal epithelium cells, while they were weakly expressed in NPC tumor cells. The ITGA9 promoter showed marked differentially methylation between tumor and control tissue, whereas no differentially methylation could be detected for the WNT7A promoter. The expression level of ITGA9 in NPC tumors was downregulated 4.9-fold, compared to the expression in control. ITGA9 methylation was detected by methylation specific PCR (MSP) in 56% of EBV positive NPC-cases with 100% specificity. Taken together, this suggests that ITGA9 might be a TSG in NPC that is involved in tumor cell biology. The possibility of using ITGA9 methylation as a marker for early detection of NPC should further be explored.

Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis

A significant need for reliable and accurate cancer diagnostics and prognosis compels the search for novel biomarkers that would be able to discriminate between indolent and aggressive tumors at the early stages of disease. The aim of this work was identification of potential diagnostic biomarkers for characterization of different types of prostate tumors. NotI-microarrays with 180 clones associated with chromosome 3 genes/loci were applied to determine genetic and epigenetic alterations in 33 prostate tumors. For 88 clones, aberrations were detected in more than 10% of tumors. The major types of alterations were DNA methylation and/or deletions. Frequent methylation of the discovered loci was confirmed by bisulfite sequencing on selective sampling of genes: FGF12, GATA2, and LMCD1. Three genes (BHLHE40, BCL6, and ITGA9) were tested for expression level alterations using qPCR, and downregulation associated with hypermethylation was shown in the majority of tumors. Based on these data, we proposed the set of potential biomarkers for detection of prostate cancer and discrimination between prostate tumors with different malignancy and aggressiveness: BHLHE40, FOXP1, LOC285205, ITGA9, CTDSPL, FGF12, LOC440944/SETD5, VHL, CLCN2, OSBPL10/ZNF860, LMCD1, FAM19A4, CAND2, MAP4, KY, and LRRC58. Moreover, we probabilistically estimated putative functional relations between the genes within each set using the network enrichment analysis.

ellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions

Computationally identifying effective biomarkers for cancers from gene expression profiles is an important and challenging task. The challenge lies in the complicated pathogenesis of cancers that often involve the dysfunction of many genes and regulatory interactions. Thus, sophisticated classification model is in pressing need. In this study, we proposed an efficient approach, called ellipsoidFN (ellipsoid Feature Net), to model the disease complexity by ellipsoids and seek a set of heterogeneous biomarkers. Our approach achieves a non-linear classification scheme for the mixed samples by the ellipsoid concept, and at the same time uses a linear programming framework to efficiently select biomarkers from high-dimensional space. ellipsoidFN reduces the redundancy and improves the complementariness between the identified biomarkers, thus significantly enhancing the distinctiveness between cancers and normal samples, and even between cancer types. Numerical evaluation on real prostate cancer, breast cancer and leukemia gene expression datasets suggested that ellipsoidFN outperforms the state-of-the-art biomarker identification methods, and it can serve as a useful tool for cancer biomarker identification in the future. The Matlab code of ellipsoidFN is freely available from http://doc.aporc.org/wiki/EllipsoidFN.

NotI microarrays: novel epigenetic markers for early detection and prognosis of high grade serous ovarian cancer

Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirty five NotI markers showed frequency of methylation/deletion more or equal to 17%. To check the results of NMA hybridizations several samples for four genes (LRRC3B, THRB, ITGA9 and RBSP3 (CTDSPL)) were bisulfite sequenced and confirmed the results of NMA hybridization. A set of eight biomarkers: NKIRAS1/RPL15, THRB, RBPS3 (CTDSPL), IQSEC1, NBEAL2, ZIC4, LOC285205 and FOXP1, was identified as the most prominent set capable to detect both early and late stages of ovarian cancer. Sensitivity of this set is equal to (72 ± 11)% and specificity (94 ± 5)%. Early stages represented the most complicated cases for detection. To distinguish between Stages I + II and Stages III + IV of ovarian cancer the most perspective set of biomarkers would include LOC285205, CGGBP1, EPHB1 and NKIRAS1/RPL15. The sensitivity of the set is equal to (80 ± 13)% and the specificity is (88 ± 12)%. Using this technique we plan to validate this panel with new epithelial ovarian cancer samples and add markers from other chromosomes.

The newcomer in the integrin family: integrin α9 in biology and cancer

Integrins are heterodimeric transmembrane receptors regulating cell-cell and cell-extracellular matrix interactions. Of the 24 integrin heterodimers identified in humans, α9β1 integrin is one of the least studied. α9, together with α4, comprise a more recent evolutionary sub-family of integrins that is only found in vertebrates. Since α9 was thought to have similar functions as α4, due to many shared ligands, it was a rather overlooked integrin until recently, when its importance for survival after birth was highlighted upon investigation of the α9 knockout mouse. α9β1 is expressed on a wide variety of cell types, interacts with many ligands for example fibronectin, tenascin-C and ADAM12, and has been shown to have important functions in processes such as cell adhesion and migration, lung development, lymphatic and venous valve development, and in wound healing. This has sparked an interest to investigate α9β1-mediated signaling and its regulation. This review gives an overview of the recent progress in α9β1-mediated biological and pathological processes, and discusses its potential as a target for cancer diagnosis and therapy.

Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays

This study aimed to clarify genetic and epigenetic alterations that occur during lung carcinogenesis and to design perspective sets of newly identified biomarkers. The original method includes chromosome 3 specific NotI-microarrays containing 180 NotI clones associated with genes for hybridization with 40 paired normal/tumor DNA samples of primary lung tumors: 28 squamous cell carcinomas (SCC) and 12 adenocarcinomas (ADC). The NotI-microarray data were confirmed by qPCR and bisulfite sequencing analyses. Forty-four genes showed methylation and/or deletions in more than 15% of non-small cell lung cancer (NSCLC) samples. In general, SCC samples were more frequently methylated/deleted than ADC. Moreover, the SCC alterations were observed already at stage I of tumor development, whereas in ADC many genes showed tumor progression specific methylation/deletions. Among genes frequently methylated/deleted in NSCLC, only a few were already known tumor suppressor genes: RBSP3 (CTDSPL), VHL and THRB. The RPL32, LOC285205, FGD5 and other genes were previously not shown to be involved in lung carcinogenesis. Ten methylated genes, i.e., IQSEC1, RBSP3, ITGA 9, FOXP1, LRRN1, GNAI2, VHL, FGD5, ALDH1L1 and BCL6 were tested for expression by qPCR and were found downregulated in the majority of cases. Three genes (RBSP3, FBLN2 and ITGA9) demonstrated strong cell growth inhibition activity. A comprehensive statistical analysis suggested the set of 19 gene markers, ANKRD28, BHLHE40, CGGBP1, RBSP3, EPHB1, FGD5, FOXP1, GORASP1/TTC21, IQSEC1, ITGA9, LOC285375, LRRC3B, LRRN1, MITF, NKIRAS1/RPL15, TRH, UBE2E2, VHL, WNT7A, to allow early detection, tumor progression, metastases and to discriminate between SCC and ADC with sensitivity and specificity of 80-100%.

LRRC3B gene is frequently epigenetically inactivated in several epithelial malignancies and inhibits cell growth and replication

Chromosome 3 specific NotI microarrays containing 180 NotI linking clones associated with 188 genes were hybridized to NotI representation probes prepared using matched tumor/normal samples from major epithelial cancers: breast (47 pairs), lung (40 pairs) cervical (43 pairs), kidney (34 pairs of clear cell renal cell carcinoma), colon (24 pairs), ovarian (25 pairs) and prostate (18 pairs). In all tested primary tumors (compared to normal controls) methylation and/or deletions was found. For the first time we showed that the gene LRRC3B was frequently methylated and/or deleted in breast carcinoma - 32% of samples, cervical - 35%, lung - 40%, renal - 35%, ovarian - 28%, colon - 33% and prostate cancer - 44%. To check these results bisulfite sequencing using cloned PCR products with representative two breast, one cervical, two renal, two ovarian and two colon cancer samples was performed. In all cases methylation was confirmed. Expression analysis using RT-qPCR showed that LRRC3B is strongly down-regulated at the latest stages of RCC and ovarian cancers. In addition we showed that LRRC3B exhibit strong cell growth inhibiting activity (more than 95%) in colony formation experiments in vitro in KRC/Y renal cell carcinoma line. All these data suggest that LRRC3B gene could be involved in the process of carcinogenesis as a tumor suppressor gene.

Integrin alpha9 (ITGA9) expression and epigenetic silencing in human breast tumors

Integrin alpha9 (ITGA9) is one of the less studied integrin subunits that facilitates accelerated cell migration and regulates diverse biological functions such as angiogenesis, lymphangiogenesis, cancer cell proliferation and migration. In this work, integrin alpha9 expression and its epigenetic regulation in normal human breast tissue, primary breast tumors and breast cancer cell line MCF7 were studied. It was shown that integrin alpha9 is expressed in normal human breast tissue. In breast cancer, ITGA9 expression was downregulated or lost in 44% of tumors while another 45% of tumors showed normal or increased ITGA9 expression level (possible aberrations in the ITGA9 mRNA structure were supposed in 11% of tumors). Methylation of ITGA9 CpG-island located in the first intron of the gene was shown in 90% of the breast tumors with the decreased ITGA9 expression while no methylation at 5'-untranslated region of ITGA9 was observed. 5-aza-dC treatment restored integrin alpha9 expression in ITGA9-negative MCF7 breast carcinoma cells, Trichostatin A treatment did not influenced it but a combined treatment of the cells with 5-aza-dC/Trichostatin A doubled the ITGA9 activation. The obtained results suggest CpG methylation as a major mechanism of integrin alpha9 inactivation in breast cancer with a possible involvement of other yet unidentified molecular pathways.

Aberrant expression of the von Hippel-Lindau gene in human endometrial hyperplasia and endometrial carcinoma

INTRODUCTION

The purpose of this study was to determine whether aberrant expression of the von Hippel-Lindau (VHL) gene in human hyperplastic and malignant endometrial tissues was involved in endometrial carcinogenesis.

METHODS

Fresh tissue samples of endometrial hyperplasia consisting of simple (n = 26), complex (n = 23), and atypical hyperplasia (n = 20); endometrial carcinoma (n = 17); and normal endometrium (n = 40) were measured using Western blotting and real-time reverse transcription polymerase chain reaction. Paraffin-embedded sections of endometrial hyperplasia (n = 90), endometrial carcinoma (n = 30), and normal endometrium (n = 60) were detected by immunohistochemical method.

RESULTS

Von Hippel-Lindau staining was present in the cytoplasm of epithelial cells and stroma. A decreased expression of VHL mRNA in endometrial hyperplasia from simple, complex, to atypical hyperplasia was observed. There were statistical differences on VHL messenger RNA (mRNA) levels among simple, complex, and atypical hyperplasia (P < 0.01). The VHL mRNA levels in endometrial carcinoma were significantly lower than those in normal endometrium, simple hyperplasia, or complex hyperplasia (P < 0.01) but similar to those in atypical hyperplasia (P > 0.05). Von Hippel-Lindau protein levels by Western blotting and staining intensity by immunohistochemistry were coincident with the VHL mRNA levels.

CONCLUSIONS

Aberrant expression of the VHL gene is associated with the risk of endometrial hyperplasia progressing to endometrial carcinoma, and its expression levels are useful as a predictive indicator for endometrial carcinoma.