Detection of multiple gene amplifications in glioblastoma multiforme using array-based comparative genomic hybridization

Detection of MYCN amplification and chromosome 1p36 loss in neuroblastoma by cDNA microarray comparative genomic hybridization

BACKGROUND

In the last decade, microarray technology has been extensively used to evaluate gene expression profiles and genome imbalances. We have developed a microarray-based comparative genomic hybridization (CGH) approach to identify MYCN gene amplification and 1p36 chromosome loss, two markers of tumor aggressiveness in neuroblastoma.

AIM

The aim was to use microarray CGH technology to detect the two major prognostic markers for neuroblastoma, MYCN amplification and 1p36 chromosome deletion, in neuroblastoma patients and, therefore, confirm the usefulness of this approach in this cancer.

METHODS

DNA was purified from 16 tumors containing at least 90% malignant neuroblasts and collected at the onset of disease. Pooled fluorescent-labeled reference and neuroblastoma tumor genomic DNA was hybridized to epoxide-coated glass slides on laboratory-made complementary DNA microarray. The microarray contained cDNA mapped at the 1p36.33-36.1 chromosomal region and MYCN gene. cDNA from the 2q33-q34 and 12p13 chromosomes was used as a control and Arabidopsis thaliana DNA was spotted to control unspecific hybridization. Fluorescence in situ hybridization analysis was also performed to validate results from the microarray CGH.

RESULTS

Both MYCN amplification and 1p36 chromosome deletion were detected by microarray CGH. The sensitivity and specificity for 1p36 loss detection were 66.7% and 90.0%, respectively. The method had a sensitivity of 66.7% and specificity of 90.9% to detect MYCN amplification.

DISCUSSION

Our results demonstrated that the microarray CGH can be efficiently applied to study DNA gain and loss of specific chromosome regions.

Molecular pathogenesis of oligodendroglial tumors

Based on their histopathological appearances, most diffusely infiltrative gliomas can be classified either as astrocytic tumors (As), pure oligodendroglial tumors (Os) or mixed oligoastrocytic tumors (OAs). The latter two may be grouped together as oligodendroglial tumors (OTs). The distinction between As and OTs is important because of the more favorable clinical behavior of OTs. Unfortunately, the histopathological delineation of OAs, Os and As can be difficult because of vague and subjective histopathological criteria. Over the last decade, the knowledge on the molecular genetic background of OTs has drastically increased. This review provides an overview of molecular genetic aberrations in OTs and discusses the pathobiological and clinical significance of these aberrations. In contrast to As, OTs frequently show frequent loss of heterozygosity on chromosome arms 1p and 19q. Since these aberrations are significantly correlated with clinically relevant parameters, such as prognosis and chemosensitivity, and given the difficulties in histopathological typing and grading of glial tumors, genetic testing should be included in routine glioma diagnostics. It is to be expected that the identification of the relevant tumor suppressor genes located on 1p and 19q will lead to more refined genetic tests for OTs. Furthermore, as microarray technology is rapidly increasing, it is likely that clinically relevant markers for OTs will be identified on other chromosomes and need to be included into routine glioma diagnostics as well.

Low-level microsatellite instability phenotype in sporadic glioblastoma multiforme

PURPOSE

Genetic instability is a hallmark of glioblastoma multiforme (GBM). Microsatellite instability (MSI) is a significant event in the tumorigenesis of many sporadic malignancies. The aim of our investigation was to study microsatellite instability in newly diagnosed glioblastomas.

METHODS

MSI was investigated in 109 GBMs with 15 microsatellite markers. Immunohistochemistry was performed for the mismatch repair (MMR) proteins hMLH1, hMSH2, hPMS2, and hMSH6 in cases showing MSI. Sequence and promoter methylation status of hMLH1 were analyzed in the case of a decreased hMLH1 protein expression as well. To further investigate MSI(+) GBMs we carried out studies of LOH at selected chromosome regions, EGFR amplification, and sequence of p53 and PTEN.

RESULTS

MSI was observed in six GBMs (5.5%) and it was more frequent in GBMs with a previous lower grade astrocytoma (18.8% vs. 3.2%). MMR protein staining was positive in all MSI(+) GBMs except in one case, which showed an aberrant expression of hMLH1 and hPMS2 without hMLH1 inactivation. Among MSI(+) GBMs, one tumor corresponded to the GBM molecular type 1 (p53 mutation, no EGFR amplification), another tumor to type 2 (wild-type p53, EGFR amplification), and four tumors to neither type (wild-type p53, no EGFR amplification). None of the six tumors carried a PTEN mutation.

CONCLUSIONS

MSI in GBM might be caused by inactivation of minor MMR genes rather than by a deficiency of hMLH1 or hMSH2 and it appears not to play a decisive role in the pathogenesis of these tumors. MSI(+) GBMs predominantly showed a profile which included wild-type of p53 and PTEN and absence of EGFR amplification but MSI occurred in all GBM molecular subtypes.

Chromosomal and genetic aberrations differ with meningioma subtype

Meningioma is one of the most common brain tumors, and a variety of genetic abnormalities have been detected by the Southern blotting, polymerase chain reaction (PCR), fluorescence in situ hybridization (FISH), and comparative genomic hybridization (CGH) methods. However, these methods detect only a very limited portion of the tumor genome or have a limited mapping resolution. In this study, we used DNA microarray assay, which detects numerous genetic abnormalities and analyzes a global assessment of molecular events in tumor cells. We analyzed genomic DNA from 26 patients with benign meningiomas by GenoSensor Array 300 in order to characterize gene amplifications, gene deletions, and chromosomal information in the whole genome. Loss of chromosome 22q was found most frequently. This chromosomal aberration was detected in 14 meningiomas (53.8%), particularly in transitional and fibrous meningiomas. In meningothelial meningiomas, amplification of INS and TCL1A was detected more frequently than in other meningioma subtypes. DNA microarray assay revealed new genetic differences among the meningioma subtypes, thus indicating that this novel technique is useful for understanding tumor genesis and for the diagnosis of meningioma subtype.

Mutations of PIK3CA in anaplastic oligodendrogliomas, high-grade astrocytomas, and medulloblastomas

The phosphatidylinositol 3'-kinase pathway is activated in multiple advanced cancers, including glioblastomas, through inactivation of the PTEN tumor suppressor gene. Recently, mutations in PIK3CA, a member of the family of phosphatidylinositol 3'-kinase catalytic subunits, were identified in a significant fraction (25-30%) of colorectal cancers, gastric cancers, and glioblastomas and in a smaller fraction of breast and lung cancers. These mutations were found to cluster into two major "hot spots" located in the helical and catalytic domains. To determine whether PIK3CA is genetically altered in brain tumors, we performed a large-scale mutational analysis of the helical and catalytic domains. A total of 13 mutations of PIK3CA within these specific domains were identified in anaplastic oligodendrogliomas, anaplastic astrocytomas, glioblastoma multiforme, and medulloblastomas, whereas no mutations were identified in ependymomas or low-grade astrocytomas. These observations implicate PIK3CA as an oncogene in a wider spectrum of adult and pediatric brain tumors and suggest that PIK3CA may be a useful diagnostic marker or a therapeutic target in these cancers.

Array comparative genomic hybridisation analysis of gamma-irradiated human thyrocytes

The susceptibility of thyroid epithelium to radiation-induced carcinogenesis is well recognised. In this context, thyroid carcinogenesis is associated with specific somatic ret/papillary thyroid carcinoma (PTC) rearrangements and morphologically with the papillary phenotype. Previous studies have demonstrated the possibility of inducing ret rearrangements in vitro using X-rays. The purpose of our study was to assess whether gamma (gamma) radiation using a Caesium 137 source can induce specific ret rearrangements in a human thyroid epithelial cell culture model. We further hypothesised that if radiation-induced thyroid carcinogenesis is associated with non-random rearrangement events, then DNA copy gain and loss induced by irradiation may also occur in a non-random manner. We irradiated SV40-immortalised human thyroid epithelial cells with incremental doses of gamma-radiation and, using TaqMan reverse-transcription polymerase chain reaction, looked for the presence of the common ret rearrangements. Cohorts showing evidence of ret/PTC chimeric transcripts were further analysed using microarray comparative genomic hybridisation (CGH) to detect copy gain and loss associated with radiation. Four Grays of gamma-radiation was sufficient to induce ret/PTC-3. In this model, transcripts of ret/PTC-1 were not detected, and we suggest that the type of radiation may influence the resulting rearrangement that occurs. Using array CGH, we have demonstrated a predominant pattern of subtelomeric deletions occurring in association with this radiation cohort and raise the possibility that chromosome 10 may be a hotspot for radiation-induced damage for as yet unknown reasons.

The Biology and Clinical Relevance of the PTEN Tumor Suppressor Pathway

Genetic alterations targeting the PTEN tumor suppressor gene are among the most frequently noted somatic mutations in human cancers. Such lesions have been noted in cancers of the prostate and endometrium and in glioblastoma multiforme, among many others. Moreover, germline mutation of PTEN leads to the development of the related hereditary cancer predisposition syndromes, Cowden disease, and Bannayan-Zonana syndrome, wherein breast and thyroid cancer incidence is elevated. The protein product, PTEN, is a lipid phosphatase, the enzymatic activity of which primarily serves to remove phosphate groups from key intracellular phosphoinositide signaling molecules. This activity normally serves to restrict growth and survival signals by limiting activity of the phosphoinositide-3 kinase (PI3K) pathway. Multiple lines of evidence support the notion that this function is critical to the ability of PTEN to maintain cell homeostasis. Indeed, the absence of functional PTEN in cancer cells leads to constitutive activation of downstream components of the PI3K pathway including the Akt and mTOR kinases. In model organisms, inactivation of these kinases can reverse the effects of PTEN loss. These data raise the possibility that drugs targeting these kinases, or PI3K itself, might have significant therapeutic activity in PTEN-null cancers. Akt kinase inhibitors are still in development; however, as a first test of this hypothesis, phase I and phase II trials of inhibitors of mTOR, namely, rapamycin and rapamycin analogs are underway.

Accuracy of an array comparative genomic hybridization (CGH) technique in detecting DNA copy number aberrations: comparison with conventional CGH and loss of heterozygosity analysis in prostate cancer

Although genomic DNA microarray (array comparative genomic hybridization [CGH]) technique is a rapid and powerful diagnostic tool for the comprehensive analysis of detailed chromosomal alterations of DNA copy numbers, its accuracy has not been well demonstrated. To clarify the accuracy of this technique, we applied array CGH spotted with 283 specific genes to 11 clinical prostate cancers, and the results were compared with comparative genomic hybridization (conventional CGH) and loss of heterozygosity (LOH) analysis using microsatellite DNA markers. The overall rate of correspondence between array CGH and conventional CGH with respect to the loss of DNA sequences was 94.5%. When the results of both CGH techniques were compared with those of LOH analysis, the correspondence rate of array CGH was significantly higher than that of conventional CGH (93.4% vs. 72.2%, P<0.05). In conclusion, the accuracy of array CGH was higher than that of conventional CGH in detecting losses of the DNA sequences. Array CGH is shown to be a promising tool for screening to identify unknown genes involved in tumorigenesis in prostate cancer.

Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors

BACKGROUND: Astrocytic brain tumors are among the most lethal and morbid tumors of adults, often occurring during the prime of life. These tumors form an interesting group of cancer to understand the molecular mechanism of pathogenesis. Histological grading of Astrocytoma based on WHO classification does not provide complete information on the proliferation potential and biological behavior of the tumors. It is known that cancer results from the disruption of the orderly regulated cycle of replication and division. In the present study, we made an attempt to identify the cell cycle signatures and their involvement in the clinical aggressiveness of gliomas. METHODS: The variation in expression of various cell cycle genes was studied in different stages of glial tumor progression (low and high grades), and the results were compared with their corresponding expression levels in the normal brain tissue. Macroarray analysis was used for the purpose. RESULTS: Macroarray analysis of 114 cell cycle genes in different grades of glioma indicated differential expression pattern in 34% of the gene transcripts, when compared to the normal tissue. Majority of the transcripts belong to the intracellular kinase networks, cell cycle regulating kinases, transcription factors and transcription activators. CONCLUSION: Based on the observation in the expression pattern in low grade and high grade gliomas, it can be suggested that the upregulation of cell cycle activators are seen as an early event in glioma; however, in malignancy it is not the cell cycle activators alone, which are involved in tumorigenesis. Understanding the molecular details of cell cycle regulation and checkpoint abnormalities in cancer could offer an insight into potential therapeutic strategies.

Analysis of DNA copy number aberrations in hepatitis C virus-associated hepatocellular carcinomas by conventional CGH and array CGH

To clarify the genetic aberrations involved in the development and progression of hepatitis C virus-associated hepatocellular carcinoma (HCV-HCC), we investigated DNA copy number aberrations (DCNAs) in 19 surgically resected HCCs by conventional CGH and array CGH. Conventional CGH revealed that increases of DNA copy number were frequent at 1q (79% of the cases), 8q (37%), 6p (32%), and 10p (32%) and that decreases were frequent at 17p (79%), 16q (58%), 4q (53%), 13q (42%), 10q (37%), 1p (32%), and 8p (32%). In general, genes that showed DCNAs by array CGH were usually located in chromosomal regions with DCNAs detected by conventional CGH analysis. Increases in copy numbers of the LAMC2, TGFB2, and AKT3 genes (located on 1q) and decreases in copy numbers of FGR/SRC2 and CYLD (located on 1p and 16q, respectively) were observed in more than 30% of tumors, including small, well-differentiated carcinomas. These findings suggest that these genes are associated with the development of HCV-HCC. Increases of MOS, MYC, EXT1, and PTK2 (located on 8q) were detected exclusively in moderately and poorly differentiated tumors, suggesting that these alterations contribute to tumor progression. In conclusion, chromosomal and array CGH technologies allow identification of genes involved in the development and progression of HCV-HCC.

Whole genome scanning identifies genotypes associated with recurrence and metastasis in prostate tumors

Prostate cancer is the most commonly diagnosed non-cutaneous neoplasm among American males and is the second leading cause of cancer-related death. Prostate specific antigen screening has resulted in earlier disease detection, yet approximately 30% of men will die of metastatic disease. Slow disease progression, an aging population and associated morbidity and mortality underscore the need for improved disease classification and therapies. To address these issues, we analyzed a cohort of patients using array comparative genomic hybridization (aCGH). The cohort comprises 64 patients, half of whom recurred postoperatively. Analysis of the aCGH profiles revealed numerous recurrent genomic copy number aberrations. Specific loss at 8p23.2 was associated with advanced stage disease, and gain at 11q13.1 was found to be predictive of postoperative recurrence independent of stage and grade. Moreover, comparison with an independent set of metastases revealed approximately 40 candidate markers associated with metastatic potential. Copy number aberrations at these loci may define metastatic genotypes.

Genetic analysis of human glioblastomas using a genomic microarray system

Genomic microarray systems can simultaneously provide substantial genetic and chromosomal information in a relatively short time. We have analyzed genomic DNA from frozen sections of 30 cases of primary glioblastomas by GenoSensor Array 300 in order to characterize gene amplifications, gene deletions, and chromosomal information in the whole genome. Genes that were frequently amplified included RFC2/CYLN2 (63.3%), EGFR (53.3%), IL6 (53.3%), ABCB1 (MDR1) (36.7%), and PDGFRA (26.7%). Genes that were frequently deleted included (56.7%), FGFR2 (66.7%), MTAP (60.0%), DMBT1 CDKN2A (p16)/MTAP (50.0%), PIK3CA (43.3%), and EGR2 (43.3%), but deletion of RB1 or TP53 was rarely detected. Chromosomal gains were observed frequently for 7q (33.3%), 7p (20.0%), and 17q (13.3%). Loss of the 10q was frequently detected in 13 of 30 cases (46.7%). Loss of the entire chromosome 10 was seen in 9 of 30 cases (30.0%), and was often accompanied by EGFR amplification (7 cases, 77.8%). The GenoSensor Array 300 proved to be useful for identification of genome-wide molecular changes in glioblastomas. The obtained microarray profile can also yield valuable insight into the molecular events underlying carcinogenesis of brain tumors and may provide clues about clinical correlations, including response to treatment.

Genomic alterations in renal tumours: what have we learned in the era of comparative genomic hybridisation?

One of the major challenges in cancer research is to generate molecular profiles of tumours and establish correlations between genetic changes and clinical parameters by screening technologies. The identification of tumour-specific gene targets has potential diagnostic and therapeutic implications. Metaphase comparative genomic hybridisation has been used to detect relative DNA-sequence copy number gains (including high-level amplifications of chromosomal regions) and copy number losses in human neoplasms. In the past, metaphase comparative genomic hybridisation has been shown to be a powerful genome-wide screening method and this has considerably advanced our understanding of renal cancer biology. Novel molecular technologies, including array-based comparative genomic hybridisation, fluorescence in situ hybridisation (FISH), cDNA and tissue microarrays will serve to facilitate further characterisation of candidate genes residing in chromosomal regions defined by metaphase comparative genomic hybridisation. This review concentrates on the application of metaphase comparative genomic hybridisation in the area of renal cancer research and summarises data obtained from comparative genomic hybridisation studies.

Genetic alterations and aberrant expression of genes related to the phosphatidyl-inositol-3'-kinase/protein kinase B (Akt) signal transduction pathway in glioblastomas

Glioblastomas frequently carry mutations in the PTEN tumor suppressor gene on 10q23.3. The tumor suppressor properties of Pten are closely related to its inhibitory effect on the phosphatidyl-inositol-3'-kinase (Pi3k)-dependent activation of protein kinase B (Akt) signalling. Here, we report on the analysis of 17 genes related to the Pi3k/Akt signalling pathway for genetic alteration and aberrant expression in a series of 103 glioblastomas. Mutation, homozygous deletion or loss of expression of PTEN was detected in 32% of the tumors. In contrast, we did not find any aberrations in the inositol polyphosphate phosphatase like-1 gene (INPPL1), whose gene product may also counteract Pi3k-dependent Akt activation. Analysis of genes encoding proteins that may activate the pathway upstream of Pi3k revealed variable fractions of tumors with EGFR amplification (31%), PDGFRA amplification (8%), and IRS2 amplification (2%). The protein tyrosine kinase 2 (PTK2/FAK1) gene was neither amplified nor overexpressed at the mRNA level. Investigation of three genes encoding catalytic subunits of Pi3k (PIK3CA, PIK3CD, and PIK3C2B) revealed amplification of PIK3C2B (1q32) in 6 tumors (6%). Overexpression of PIK3C2B mRNA was detected in 4 of these cases. PIK3CD (1p36.2) and PIK3CA (3q26.3) were not amplified but PIK3CD mRNA was overexpressed in 6 tumors (6%). Amplification and overexpression of AKT1 was detected in a single case of gliosarcoma. The IRS1, PIK3R1, PIK3R2, AKT2, AKT3, FRAP1, and RPS6KB1 genes were neither amplified nor overexpressed in any of the tumors. Taken together, our data indicate that different genes related to the Pi3k/Akt signalling pathway may be aberrant in glioblastomas.

Combined array comparative genomic hybridization and tissue microarray analysis suggest PAK1 at 11q13.5-q14 as a critical oncogene target in ovarian carcinoma

Amplification of chromosomal regions leads to an increase of DNA copy numbers and expression of oncogenes in many human tumors. The identification of tumor-specific oncogene targets has potential diagnostic and therapeutic implications. To identify distinct spectra of oncogenic alterations in ovarian carcinoma, metaphase comparative genomic hybridization (mCGH), array CGH (aCGH), and ovarian tumor tissue microarrays were used in this study. Twenty-six primary ovarian carcinomas and three ovarian carcinoma cell lines were analyzed by mCGH. Frequent chromosomal overrepresentation was observed on 2q (31%), 3q (38%), 5p (38%), 8q (52%), 11q (21%), 12p (21%), 17q (21%), and 20q (52%). The role of oncogenes residing in gained chromosomal loci was determined by aCGH with 59 genetic loci commonly amplified in human tumors. DNA copy number gains were most frequently observed for PIK3CA on 3q (66%), PAK1 on 11q (59%), KRAS2 on 12p (55%), and STK15 on 20q (55%). The 11q13-q14 amplicon, represented by six oncogenes (CCND1, FGF4, FGF3, EMS1, GARP, and PAK1) revealed preferential gene copy number gains of PAK1, which is located at 11q13.5-q14. Amplification and protein expression status of both PAK1 and CCND1 were further examined by fluorescence in situ hybridization and immunohistochemistry using a tissue microarray consisting of 268 primary ovarian tumors. PAK1 copy number gains were observed in 30% of the ovarian carcinomas and PAK1 protein was expressed in 85% of the tumors. PAK1 gains were associated with high grade (P < 0.05). In contrast, CCND1 gene alterations and protein expression were less frequent (10.6% and 25%, respectively), suggesting that the critical oncogene target of amplicon 11q13-14 lies distal to CCND1. This study demonstrates that aCGH facilitates further characterization of oncogene candidates residing in amplicons defined by mCGH.

Genomic alterations in blastic natural killer/extranodal natural killer-like T cell lymphoma with cutaneous involvement

Natural killer and natural killer-like T cell lymphomas represent a rare type of non-Hodgkin's lymphoma originally described to involve the upper aerodigestive tract. This malignancy has been increasingly observed in other extranodal sites, particularly in the skin. Patients with cutaneous natural killer cell lymphoma generally have a poor prognosis; however, the etiology and the underlying molecular pathogenesis remain unclear. This study aimed to investigate comprehensively genomic changes in blastic natural killer and extranodal natural killer-like T cell lymphoma with cutaneous involvement. Comparative genomic hybridization showed chromosome imbalances in six of eight cases studied (75%). The mean number of chromosome imbalances per sample was 2.18+/-1.63 with similar number of gains (1.18+/-1.17) and losses (1.00+/-1.34). The most frequent DNA copy number changes observed were losses of 9/9p (83%), followed by loss of 13q and gain of 7 (67%). Similar patterns of chromosome imbalances were observed in both blastic natural killer and cutaneous natural killer-like T cell lymphomas. Loss of the RB1 gene at 13q14.2 was detected in one blastic natural killer cell lymphoma with 13q loss using a gene dosage assay, and in one cutaneous natural killer-like T cell lymphoma without 13q loss using fluorescent in situ hybridization. Genomic microarray analysis identified oncogene copy number gains of PAK1 and JUNB in three of four cases studied, and gains of RAF1, CTSB, FGFR1, and BCR in two cases. Real-time polymerase chain reaction detected amplification of CTSB and RAF1 in four of five cases analyzed, JUNB and MYCN in three cases, and REL and YES1 in two cases, respectively. In conjunction with this study, an extensive literature search for the published G-banded karyotypes of four subsets of natural killer cell lymphomas was conducted, which showed a nonrandom pattern of multiple chromosome aberrations. These results reveal consistent genetic alterations in cutaneous natural killer cell lymphomas, and provide a basis for further investigation of molecular pathogenesis in this malignancy.

Detection of gene amplification and deletion in high-grade gliomas using a genome DNA microarray (GenoSensor Array 300)

Glioblastoma is a rapidly growing tumor that accounts for more than 50% of all primary gliomas. Amplification of oncogenes and deletion of tumor suppressor genes frequently affects tumor progression. Thus, the goal of this study was to conduct a comprehensive analysis of gene aberrations of individual glioblastomas. A genome DNA microarray (GenoSensor Array 300), spotted with 287 target genes, was used to analyze resected tissue from 11 different high-grade gliomas. The average number of gene aberrations was 9.0 per case (WHO grade III) and 13.3 per case (WHO grade IV). EGFR was the most frequent amplified gene in this series (4 of 11 cases), and high-level amplification was also detected for EGFR, SAS/CDK4, and AKT1. A high frequency of deleted genes was observed in 6 of 11 cases (54.5%), including FGFR2, MTAP, and DMBT1. The detected gene aberrations were matched to the classical primary glioblastoma pathway in five of nine cases. We conclude that the GenoSensor Array 300 genomic DNA microarray is a useful method for the comprehensive identification of amplified and deleted genes in glioblastoma.

Identification of molecular subtypes of glioblastoma by gene expression profiling

Epidermal growth factor receptor (EGFR) overexpression occurs in nearly 50% of cases of glioblastoma (GBM), but its clinical and biological implications are not well understood. We have used Affymetrix high-density oligonucleotide arrays to demonstrate that EGFR-overexpressing GBMs (EGFR+) have a distinct global gene transcriptional profile. We show that the expression of 90 genes can distinguish EGFR+ from EGFR nonexpressing (EGFR-) GBMs, including a number of genes known to act as growth/survival factors for GBMs. We have also uncovered two additional novel molecular subtypes of GBMs, one of which is characterized by coordinate upregulation of contiguous genes on chromosome 12q13-15 and expression of both astrocytic and oligodendroglial genes. These results define distinct molecular subtypes of GBMs that may be important in disease stratification, and in the discovery and assessment of GBM treatment strategies.

High-resolution analysis of paraffin-embedded and formalin-fixed prostate tumors using comparative genomic hybridization to genomic microarrays

We have used prostate cancer, the most commonly diagnosed noncutaneous neoplasm among men, to investigate the feasibility of performing genomic array analyses of archival tissue. Prostate-specific antigen and a biopsy Gleason grade have not proven to be accurate in predicting clinical outcome, yet they remain the only accepted biomarkers for prostate cancer. It is likely that distinct spectra of genomic alterations underlie these phenotypic differences, and that once identified, may be used to differentiate between indolent and aggressive tumors. Array comparative genomic hybridization allows quantitative detection and mapping of copy number aberrations in tumors and subsequent associations to be made with clinical outcome. Archived tissues are needed to have patients with sufficient clinical follow-up. In this report, 20 formalin-fixed and paraffin-embedded prostate cancer samples originating from 1986 to 1996 were studied. We present a straightforward protocol and demonstrate the utility of archived tissue for array comparative genomic hybridization with a 2400 element BAC array that provides high-resolution detection of both deletions and amplifications.

Amplification and overexpression of JUNB is associated with primary cutaneous T-cell lymphomas

Primary cutaneous lymphomas (PCLs) represent a heterogeneous group of extranodal T- and B-cell malignancies. The underlying molecular pathogenesis of this malignancy remains unclear. This study aimed to characterize oncogene abnormalities in PCLs. Using genomic microarray, we detected oncogene copy number gains of RAF1 (3p25), CTSB (8p22), PAK1 (11q13), and JUNB (19p13) in 5 of 7 cases of mycosis fungoides (MF)/Sezary syndrome (SS) (71%), gains of FGFR1 (8p11), PTPN (20q13), and BCR (22q11) in 4 cases (57%), and gains of MYCL1 (1p34), PIK3CA (3q26), HRAS (11p15), MYBL2 (20q13), and ZNF217 (20q13) in 3 cases (43%). Amplification of JUNB was studied in 104 DNA samples from 78 PCL cases using real-time polymerase chain reaction. Twenty-four percent of cases, including 7 of 10 cases of primary cutaneous CD30(+) anaplastic large-cell lymphoma (C-ALCL), 4 of 14 MF, 4 of 22 SS, and 2 of 23 primary cutaneous B-cell lymphoma (PCBCL) showed amplification of JUNB, and high-level amplification of this oncogene was present in 3 C-ALCL and 2 MF cases. JUNB protein expression was analyzed in tissue sections from 69 PCL cases, and 44% of cases, consisting of 21 of 23 SS, 6 of 8 C-ALCL, 5 of 10 MF, and 9 of 21 PCBCL, demonstrated nuclear expression of JUNB by tumor cells. Overexpression of JUNB also was detected in 5 C-ALCL and 2 SS cases. These results have revealed, for the first time, amplification and expression patterns of JUNB in PCL, suggesting that JUNB may be critical in the pathogenesis of primary cutaneous T-cell lymphomas.

Chromosomal localization of DNA amplifications in neuroblastoma tumors using cDNA microarray comparative genomic hybridization

Conventional comparative genomic hybridization (CGH) profiling of neuroblastomas has identified many genomic aberrations, although the limited resolution has precluded a precise localization of sequences of interest within amplicons. To map high copy number genomic gains in clinically matched stage IV neuroblastomas, CGH analysis using a 19,200-feature cDNA microarray was used. A dedicated (freely available) algorithm was developed for rapid in silico determination of chromosomal localizations of microarray cDNA targets, and for generation of an ideogram-type profile of copy number changes. Using these methodologies, novel gene amplifications undetectable by chromosome CGH were identified, and larger MYCN amplicon sizes (in one tumor up to 6 Mb) than those previously reported in neuroblastoma were identified. The genes HPCAL1, LPIN1/KIAA0188, NAG, and NSE1/LOC151354 were found to be coamplified with MYCN. To determine whether stage IV primary tumors could be further subclassified based on their genomic copy number profiles, hierarchical clustering was performed. Cluster analysis of microarray CGH data identified three groups: 1) no amplifications evident, 2) a small MYCN amplicon as the only detectable imbalance, and 3) a large MYCN amplicon with additional gene amplifications. Application of CGH to cDNA microarray targets will help to determine both the variation of amplicon size and help better define amplification-dependent and independent pathways of progression in neuroblastoma.

Characterizing the physical genome

The genome of an organism is a dynamic physical entity, comprising genomic DNA bound to many different proteins and organized into chromosomes. A thorough characterization of the physical genome is relevant to our understanding of processes such as the regulation of gene expression, DNA replication and repair, recombination, chromosome segregation, epigenetic inheritance and genomic instability. Methods based on microarrays are beginning to provide a detailed picture of this physical genome, and they complement the genome-wide studies of mRNA expression profiling that have previously been so successful.

Comparative genomic hybridization analysis of primary cutaneous B-cell lymphomas: identification of common genomic alterations in disease pathogenesis

To investigate genetic alterations in primary cutaneous B-cell lymphomas (PCBCLs), we have analyzed 29 cases of PCBCL. Comparative genomic hybridization showed chromosome imbalances (CIs) in 12 cases (41%). The mean number of CIs per sample was 2.05 +/- 2.97, with gains (1.48 +/- 2.38) more frequent than losses (0.56 +/- 1.40). The common regions of gains were 18/18q (50%), 7/7p (42%), 3/3q (33%), 20 (33%), 1p (25%), 12/12q (25%), and 13/13q (25%), whereas loss of 6q was frequent (42%). Among the different subsets of PCBCLs, CI was seen in 50% of diffuse large-cell lymphomas (DLCLs), 33% of marginal zone lymphomas, and 8% of follicle center cell lymphomas and unclassified lymphomas. A similar pattern of CI was observed in these lymphomas, but loss of 6q and gains of 3/3q were present only in DLCLs. Microarray-based genomic analysis of four DLCL cases identified oncogene gains of SAS/CDK4 (12q13.3) in three cases and MYCL1 (1p34.3), MYC (8q24), FGFR2 (10q26), BCL2 (18q21.3), CSE1L (20q13), and PDGFB (22q12-13) in two cases, whereas losses of AKT1 (14q32.3), IGFR1 (15q25-26), and JUNB (19p13.2) were identified in three cases, and losses of FGR (1p36), ESR (6q25.1), ABL1 (9q34.1), TOP2A (17q21-22), ERBB2 (17q21.2), CCNE1 (19q13.1), and BCR (22q11) were each identified in two cases. In addition, real-time-polymerase chain reaction detected amplification of BCL2 in 5 of 29 cases. These findings suggest that there are complex but consistent genetic alterations associated with the pathogenesis of PCBCLs.

Human genomics and microarrays: implications for the plastic surgeon

The Human Genome Project was launched in 1989 in an effort to sequence the entire span of human DNA. Although coding sequences are important in identifying mutations, the static order of DNA does not explain how a cell or organism may respond to normal and abnormal biological processes. By examining the mRNA content of a cell, researchers can determine which genes are being activated in response to a stimulus. Traditional methods in molecular biology generally work on a "one gene: one experiment" basis, which means that the throughput is very limited and the "whole picture" of gene function is hard to obtain. To study each of the 60,000 to 80,000 genes in the human genome under each biological circumstance is not practical. Recently, microarrays (also known as gene or DNA chips) have emerged; these allow for the simultaneous determination of expression for thousands of genes and analysis of genome-wide mRNA expression. The purpose of this article is twofold: first, to provide the clinical plastic surgeon with a working knowledge and understanding of the fields of genomics, microarrays, and bioinformatics and second, to present a case to illustrate how these technologies can be applied in the study of wound healing.

High-resolution genome-wide allelotype analysis identifies loss of chromosome 14q as a recurrent genetic alteration in astrocytic tumours

Diffusely infiltrative astrocytic tumours are the most common neoplasms in the human brain. To localise putative tumour suppressor loci that are involved in low-grade astrocytomas, we performed high-resolution genome-wide allelotype analysis on 17 fibrillary astrocytomas. Non-random allelic losses were identified on chromosomal arms 10p (29%), 10q (29%), 14q (35%), 17p (53%), and 19q (29%), with their respective common regions of deletions delineated at 10p14-15.1, 10q25.1-qter, 14q212.2-qer, 17p11.2-pter and 19q12-13.4. These results suggest that alterations of these chromosomal regions play important roles in the development of astrocytoma. We also allelotyped 21 de novo glioblastoma multiforme with an aim to unveil genetic changes that are common to both types of astrocytic tumours. Non-random allelic losses were identified on 9p (67%), 10p (62%), 10q (76%), 13q (60%), 14q (50%), and 17p (65%). Allelic losses of 10p, 10q, 14q and 17p were common genetic alterations detectable in both fibrillary astrocytomas and glioblastoma multiforme. In addition, two common regions of deletions on chromosome 14 were mapped to 14q22.3-32.1 and 14q32.1-qter, suggesting the presence of two putative tumour suppressor genes. In conclusion, our comprehensive allelotype analysis has unveiled several critical tumour suppressor loci that are involved in the development of fibrillary astrocytomas and glioblastoma multiforme. Although these two types of brain tumours are believed to evolve from different genetic pathways, they do share some common genetic changes. Our results indicate that deletions of chromosome 14q is a recurrent genetic event in the development of astrocytoma and highlight the subchromosomal regions on this chromosome that are likely to contain putative tumour suppressor genes involved in the oncogenesis of astrocytic tumours.

Combined comparative genomic hybridization and genomic microarray for detection of gene amplifications in pulmonary artery intimal sarcomas and adrenocortical tumors

Identification of gene amplifications in human tumors is important for the understanding of tumorigenesis and may lead to discovery of diagnostic and prognostic markers. In this study, we used a microarray-based comparative genomic hybridization (CGH) technique, combined with conventional CGH, to identify gene amplifications in 43 tumors including eight pulmonary artery intimal sarcomas and 35 adrenocortical tumors. Conventional CGH revealed gains or amplifications of 12q13-q15 in six sarcomas and in two adrenocortical carcinomas. Using microarrays, we demonstrated that, among genes located on 12q13-q15, SAS/CDK4 were amplified in six sarcomas, and MDM2 and GLI in five and four sarcomas, respectively. The two adrenocortical tumors showed coamplifications of SAS/CDK4 and MDM2. Furthermore, PDGFRA (located on 4q12) amplification was identified in five sarcomas. Our data demonstrate: (1) amplifications of SAS/CDK4, MDM2, GLI, and PDGFRA are strongly associated with the tumorigenesis of pulmonary artery intimal sarcomas, whereas SAS/CDK4 and MDM2 coamplification may contribute to the progression of adrenocortical tumors; (2) microarray-based CGH is a useful tool for simultaneous detection of multiple gene amplifications, with a high sensitivity and resolution compared to that of conventional CGH.

DNA microarrays in prostate cancer

DNA microarray technology provides a means to examine large numbers of molecular changes related to a biological process in a high throughput manner. This review discusses plausible utilities of this technology in prostate cancer research, including definition of prostate cancer predisposition, global profiling of gene expression patterns associated with cancer initiation and progression, identification of new diagnostic and prognostic markers, and discovery of novel patient classification schemes. The technology, at present, has only been explored in a limited fashion in prostate cancer research. Some hurdles to be overcome are the high cost of the technology, insufficient sample size and repeated experiments, and the inadequate use of bioinformatics. With the completion of the Human Genome Project and the advance of several highly complementary technologies, such as laser capture microdissection, unbiased RNA amplification, customized functional arrays (eg, single-nucleotide polymorphism chips), and amenable bioinformatics software, this technology will become widely used by investigators in the field. The large amount of novel, unbiased hypotheses and insights generated by this technology is expected to have a significant impact on the diagnosis, treatment, and prevention of prostate cancer. Finally, this review emphasizes existing, but currently underutilized, data-mining tools, such as multivariate statistical analyses, neural networking, and machine learning techniques, to stimulate wider usage.