Ming-Ta Hsu

Chromosomal aberrations in nasopharyngeal carcinoma analyzed by comparative genomic hybridization

To investigate the genomic imbalances associated with nasopharyngeal carcinoma (NPC), we have performed chromosome analysis by comparative genomic hybridization (CGH) on 51 tumors, including 25 primary and 26 recurrent tumors. The most common copy number increases occurred on chromosome arms 12p (59%), 1q (47%), 17q (47%), 11q (41%), and 12q (35%). The minimal overlapping regions were at 12p12–13, 1q21–22, 17q21, 17q25, 11q13, and 12q13. The most frequent losses were from chromosome arms 3p (53%), 9p (41%), 13q (41%), 14q (35%), and 11q (29%). The minimal overlapping regions were at 3p12–14, 3p25–26, 9p21–23, 13q21–32, 14q12–21, and 11q14–23. Compared with the primary cancers, no additional chromosomal change was found in the recurrent tumors; however, the most frequent gain in the recurrent NPCs was at 11q13 (53%) instead of 12p in the primary tumors. An increase of gene alterations correlated with clinical stage. Our results provide a first comprehensive view of the genomic changes associated with NPC and reveal several new sites of genomic imbalance, indicating the possible involvement of novel oncogenes/tumor suppressor genes in the carcinogenesis of NPC. Genes Chromosomes Cancer 25:169–175, 1999.

Frequent gain of copy number on the long arm of chromosome 3 in human cervical adenocarcinoma

We analyzed genomic aberrations in 20 cervical adenocarcinomas by comparative genomic hybridization (CGH). Most tissue samples (85%) showed DNA copy number changes; gains were more common than losses. The most consistent region of chromosomal gain was mapped to chromosome arm 3q, found in 70% of the cases, with a minimal common region of 3q28-ter. Other recurrent amplifications of genetic material were detected on 17q (45%), 1p (30%), 1q (25%), and 11q (20%). High-level copy number increases were found in chromosomal regions 3q27-ter and 9pter-13. DNA losses were seldom observed, occurring primarily in underrepresented regions of chromosome arms 4q, 13q, and 18q. The presence of high-risk human papilloma virus genomes in the cervical adenocarcinoma samples was detected in 90% of the cases. However, there was no correlation between human papilloma virus type and the pattern of genomic changes. This study is the first report of CGH analysis in human cervical adenocarcinoma. Among the major genomic alterations, our results demonstrate the importance of DNA copy increases of chromosome arm 3q in the development of cervical adenocarcinoma and identify other amplified chromosomal regions that are also associated with cervical carcinogenesis.

Chromosomal analysis of hepatic adenoma and focal nodular hyperplasia by comparative genomic hybridization

Hepatic adenoma (HA) and focal nodular hyperplasia (FNH) are two common non‐malignant tumors of the liver. Genomic analysis on these benign lesions may shed light on the genetic mechanism underlying liver carcinogenesis. We used comparative genomic hybridization (CGH) to evaluate genomic changes in eight cases of HA and six cases of FNH, obtained by surgical procedures; the resulting chromosomal aberration profiles were analyzed together with their pathological and clinical manifestations. We found consistent chromosomal lesions associated with both non‐malignant hepatic tumors. The overall genomic abnormalities in HA and FNH were much less obvious than those in hepatocellular carcinoma (HCC). Among these limited changes, frequent gains were located on chromosomal arms 1q (50%), 17q (50%), 1p (38%), and 11q (38%) in HA, and on 11q (50%), 9q (33%), 17q (33%), and 22q (33%) in FNH. Gains outnumbered losses, and HA contained more CGH abnormalities than did FNH. Interestingly, CGH alteration hotspots found in HA, but not in FNH, appeared largely to coincide with common genomic lesions of cancerous HCC, suggesting an interesting relationship along the tumorigenesis pathway of HA and HCC.

Overlapping high-resolution copy number alterations in cancer genomes identified putative cancer genes in hepatocellular carcinoma.

Recurrent cancer genome aberrations are indicators of residing crucial cancer genes. Although recent advances in genomic technologies have led to a global view of cancer genome aberrations, the identification of target genes and biomarkers from the aberrant loci remains difficult. To facilitate searches of cancer genes in human hepatocellular carcinoma (HCC), we established a comprehensive protocol to analyze copy number alterations (CNAs) in cancer genomes using high‐density single nucleotide polymorphism arrays with unpaired reference genomes. We identified common HCC genes by overlapping the shared aberrant loci in multiple cell lines with functional validation and clinical implications. A total of 653 amplicons and 57 homozygous deletions (HDs) were revealed in 23 cell lines. To search for novel HCC genes, we overlapped aberrant loci to uncover 6 HDs and 126 amplicons shared by at least two cell lines. We selected two novel genes, fibronectin type III domain containing 3B (FNDC3B) at the 3q26.3 overlapped amplicon and solute carrier family 29 member 2 (SLC29A2) at the 11q13.2 overlapped amplicon, to investigate their aberrations in HCC tumorigenesis. Aberrant up‐regulation of FNDC3B and SLC29A2 occurred in multiple HCC data sets. Knockdown of these genes in amplified cells decreased cell proliferation, anchorage‐independent growth, and tumor formation in xenograft models. Importantly, up‐regulation of SLC29A2 in HCC tissues was significantly associated with advanced stages (P = 0.0031), vascular invasion (P = 0.0353), and poor patient survival (P = 0.0325). Overexpression of FNDC3B or SLC29A2 in unamplified HCC cells promoted cell proliferation through activation of the signal transducer and activator of transcription 3 signaling pathway. Conclusion: A standardized genome‐wide CNA analysis protocol using data from user‐generated or public domains normalized with unpaired reference genomes has been established to facilitate high‐throughput detection of cancer genes as significant target genes and biomarkers for cancer diagnosis and therapy. (HEPATOLOGY 2010)

Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling

BackgroundMicroRNAs (miRNAs) simultaneously target many transcripts through partial complementarity binding, and have emerged as a key type of post-transcriptional regulator for gene expression. How miRNA accomplishes its pleiotropic effects largely depends on its expression and its target repertoire. Previous studies discovered thousands of miRNAs and numerous miRNA target genes mainly through computation and prediction methods which produced high rates of false positive prediction. The development of Argonaute cross-linked immunoprecipitation coupled with high-throughput sequencing (CLIP-Seq) provides a system to effectively determine miRNA target genes. Likewise, the accuracy of dissecting the transcriptional regulation of miRNA genes has been greatly improved by chromatin immunoprecipitation of the transcription factors coupled with sequencing (ChIP-Seq). Elucidation of the miRNA target repertoire will provide an in-depth understanding of the functional roles of microRNA pathways. To reliably reconstruct a miRNA-mediated regulatory network, we established a computational framework using publicly available, sequence-based transcription factor-miRNA databases, including ChIPBase and TransmiR for the TF-miRNA interactions, along with miRNA-target databases, including miRTarBase, TarBase and starBase, for the miRNA-target interactions. We applied the computational framework to elucidate the miRNA-mediated regulatory network in the Mir122a-/- mouse model, which has an altered transcriptome and progressive liver disease.ResultsWe applied our computational framework to the expression profiles of miRNA/mRNA of Mir122a-/- mutant mice and wild-type mice. The miRNA-mediated network involves 40 curated TFs contributing to the aberrant expression of 65 miRNAs and 723 curated miRNA target genes, of which 56% was found in the differentially-expressed genes of Mir122a--mice. Hence, the regulatory network disclosed previously-known and also many previously-unidentified miRNA-mediated regulations in mutant mice. Moreover, we demonstrate that loss of imprinting at the chromosome 12qF1 region is associated with miRNA overexpression in human hepatocellular carcinoma and stem cells, suggesting initiation of precancerous changes in young mice deficient in miR-122. A group of 9 miRNAs was found to share miR-122 target genes, indicating synergy between miRNAs and target genes by way of multiplicity and cooperativity.ConclusionsThe study provides significant insight into miRNA-mediated regulatory networks. Based on experimentally verified data, this network is highly reliable and effective in revealing previously-undetermined disease-associated molecular mechanisms. This computational framework can be applied to explore the significant TF-miRNA-miRNA target interactions in any complex biological systems with high degrees of confidence.

ArrayFusion: a web application for multi-dimensional analysis of CGH, SNP and microarray data

UNLABELLED ArrayFusion annotates conventional CGH results and various types of microarray data from a range of platforms (cDNA, expression, exon, SNP, array-CGH and ChIP-on-chip) and converts them into standard formats which can be visualized in genome browsers (Affymetrix Integrated Genome Browser and GBrowse in the HapMap Project). Converted files can then be imported simultaneously into a single genome browser to benefit a collective interpretation between different array results. ArrayFusion therefore provides a new type of tool facilitating the integration of CGH and array results to provide new experimental directions. AVAILABILITY http://microarray.ym.edu.tw/tools/arrayfusion

Chromosomal comparative genomic hybridization abnormalities in early- and late-onset human breast cancers: correlation with disease progression and TP53 mutations

Nearly 30% of the breast cancer patients in the Taiwanese community have their diseases diagnosed before the age of 40. Their 5-year survival rate is poorer than that of their late-onset breast cancer counterparts. Genomic abnormalities between these two breast cancer age groups were compared using comparative genomic hybridization (CGH) analyses. The sample set was made up of 44 early-onset (<35 years old) and 54 late-onset cases (>63 years old). Frequent CGH changes were noted, such as gains on 8q, 1q, and 17q and losses on 16q, 17p, and 8p. These were very similar for the two age groups, as well as for Taiwanese women and other ethnic populations. In contrast, several less common lesions, such as gains on 16p and 8p and losses on 11q and 9p, were significantly different between the early- and late-onset breast tumors. In addition, more profound chromosomal changes were consistently associated with the more advanced-stage tumors, and less expression of the estrogen and the progesterone receptors, and of HER-2/neu. About 19% of the breast cancers examined carried a TP53 mutation in exons 4-9. Of these, 88% (15/17) were missense point mutations and these were distributed randomly along the tested gene fragments without apparent clustering, as has been shown in certain other ethnic or regional studies. On average, patients carrying these TP53 mutations had 9.5 CGH lesions per case, compared to only 2.8 changes in samples that had no TP53 mutation. Our results indicate that certain genomic lesions, especially 11q loss, may play a role in early-onset breast tumor formation, and that combined use of genomic patterns and molecular targets may provide a useful tool for diagnostic, therapeutic, and prognostic purposes.

Pediatric primary central nervous system germ cell tumors of different prognosis groups show characteristic miRNome traits and chromosome copy number variations

BackgroundIntracranial pediatric germ cell tumors (GCTs) are rare and heterogeneous neoplasms and vary in histological differentiation, prognosis and clinical behavior. Germinoma and mature teratoma are GCTs that have a good prognosis, while other types of GCTs, termed nongerminomatous malignant germ cell tumors (NGMGCTs), are tumors with an intermediate or poor prognosis. The second group of tumors requires more extensive drug and irradiation treatment regimens. The mechanisms underlying the differences in incidence and prognosis of the various GCT subgroups are unclear.ResultsWe identified a distinct mRNA profile correlating with GCT histological differentiation and prognosis, and also present in this study the first miRNA profile of pediatric primary intracranial GCTs. Most of the differentially expressed miRNAs were downregulated in germinomas, but miR-142-5p and miR-146a were upregulated. Genes responsible for self-renewal (such as POU5F1 (OCT4), NANOG and KLF4) and the immune response were abundant in germinomas, while genes associated with neuron differentiation, Wnt/β-catenin pathway, invasiveness and epithelial-mesenchymal transition (including SNAI2 (SLUG) and TWIST2) were abundant in NGMGCTs. Clear transcriptome segregation based on patient survival was observed, with malignant NGMGCTs being closest to embryonic stem cells. Chromosome copy number variations (CNVs) at cytobands 4q13.3-4q28.3 and 9p11.2-9q13 correlated with GCT malignancy and clinical risk. Six genes (BANK1, CXCL9, CXCL11, DDIT4L, ELOVL6 and HERC5) within 4q13.3-4q28.3 were more abundant in germinomas.ConclusionsOur results integrate molecular profiles with clinical observations and provide insights into the underlying mechanisms causing GCT malignancy. The genes, pathways and microRNAs identified have the potential to be novel therapeutic targets.

easyExon – A Java-based GUI tool for processing and visualization of Affymetrix exon array data

BackgroundAlternative RNA splicing greatly increases proteome diversity and thereby contribute to species- or tissue-specific functions. The possibility to study alternative splicing (AS) events on a genomic scale using splicing-sensitive microarrays, including the Affymetrix GeneChip Exon 1.0 ST microarray (exon array), has appeared very recently. However, the application of this new technology is hindered by the lack of free and user-friendly software devoted to these novel platforms.ResultsIn this study we present a Java-based freeware, easyExon http://microarray.ym.edu.tw/easyexon, to process, filtrate and visualize exon array data with an analysis pipeline. This tool implements the most commonly used probeset summarization methods as well as AS-orientated filtration algorithms, e.g. MIDAS and PAC, for the detection of alternative splicing events. We include a biological filtration function according to GO terms, and provide a module to visualize and interpret the selected exons and transcripts. Furthermore, easyExon can integrate with other related programs, such as Integrate Genome Browser (IGB) and Affymetrix Power Tools (APT), to make the whole analysis more comprehensive. We applied easyExon on a public accessible colon cancer dataset as an example to illustrate the analysis pipeline of this tool.ConclusionEasyExon can efficiently process and analyze the Affymetrix exon array data. The simplicity, flexibility and brevity of easyExon make it a valuable tool for AS event identification in genomic research.

Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene expression signatures

BackgroundThe identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been developed to identify optimal gene expression signatures, the number of signature genes obtained is often overly large to be applied clinically. Furthermore, experimental verification is sometimes limited by the availability of wet-lab materials such as antibodies and reagents. A tool to evaluate the discrimination power of candidate genes is therefore in high demand by clinical researchers.ResultsSignature Evaluation Tool (SET) is a Java-based tool adopting the Golubs weighted voting algorithm as well as incorporating the visual presentation of prediction strength for each array sample. SET provides a flexible and easy-to-follow platform to evaluate the discrimination power of a gene signature. Here, we demonstrated the application of SET for several purposes: (1) for signatures consisting of a large number of genes, SET offers the ability to rapidly narrow down the number of genes; (2) for a given signature (from third party analyses or user-defined), SET can re-evaluate and re-adjust its discrimination power by selecting/de-selecting genes repeatedly; (3) for multiple microarray datasets, SET can evaluate the classification capability of a signature among datasets; and (4) by providing a module to visualize the prediction strength for each sample, SET allows users to re-evaluate the discrimination power on mis-grouped or less-certain samples. Information obtained from the above applications could be useful in prognostic analyses or clinical management decisions.ConclusionHere we present SET to evaluate and visualize the sample-discrimination ability of a given gene expression signature. This tool provides a filtration function for signature identification and lies between clinical analyses and class prediction (or feature selection) tools. The simplicity, flexibility and brevity of SET could make it an invaluable tool for marker identification in clinical research.