Gene amplifications in osteosarcoma-CGH microarray analysis

Mechanisms of gene amplification and evidence of coamplification in drug-resistant human osteosarcoma cell lines

Gene amplification and copy number changes play a pivotal role in malignant transformation and progression of human tumor cells by mediating the activation of genes and oncogenes, which are involved in many different cellular processes including development of drug resistance. Since doxorubicin (DX) and methotrexate (MTX) are the two most important drugs for high-grade osteosarcoma (OS) treatment, the aim of this study was to identify genes gained or amplified in six DX- and eight MTX-resistant variants of the human OS cell lines U-2OS and Saos-2, and to get insights into the mechanisms underlying the amplification processes. Comparative genomic hybridization techniques identified amplification of MDR1 in all six DX-resistant and of DHFR in three MTX-resistant U-2OS variants. In addition, progressive gain of MLL was detected in the four U-2OS variants with higher resistance levels either to DX or MTX, whereas gain of MYC was found in all Saos-2 MTX-resistant variants and the U-2OS variant with the highest resistance level to DX. Fluorescent in situ hybridization revealed that MDR1 was amplified in U-2OS and Saos-2/DX-resistant variants manifested as homogeneously staining regions and double minutes, respectively. In U-2OS/MTX-resistant variants, DHFR was amplified in homogeneously staining regions, and was coamplified with MLL in relation to the increase of resistance to MTX. Gene amplification was associated with gene overexpression, whereas gene gain resulted in up-regulated gene expression. These results indicate that resistance to DX and MTX in human OS cell lines is a multigenic process involving gene copy number and expression changes.

Biomarkers in Osteosarcoma

Osteosarcoma is the most common primary tumor of bone and accounts for approximately 19% of all malignant tumors of bone. It is the third most common malignant tumor in teenagers. More than twenty years ago, the advent of a multidisciplinary approach that combined multi-agent chemotherapy and limb-sparing surgery greatly improved the survival rate of patients with osteosarcoma. Unfortunately, since that time, survival rates have not dramatically improved. To date, the most powerful predictors of outcome have remained the ability to detect metastatic disease at diagnosis and the histopathologic response of the tumor to preoperative chemotherapy. Presently, 80% of patients who do not have distant metastases at initial diagnosis will become long-term survivors. Unfortunately, this means that approximately 20% of patients who do not present with metastases at diagnosis will not survive. This group of patients appears to be resistant to current treatment as attempts to intensify therapy after surgery for patients with a poor histopathologic response has not significantly improved survival rates. It is these patients that are in the greatest need of additional clinically relevant markers for prognosis and who can be most helped by molecular analysis. While steady progress has been made in the identification of genetic alterations in osteosarcoma, no individual molecular marker has thus far been demonstrated to have a better prognostic significance in the treatment of osteosarcomas than the current clinical markers. Thus there is clearly a need to employ new comprehensive analysis technologies to develop significantly more informative classification systems and to identify new therapeutic targets.

Novel targets with potential therapeutic applications in osteosarcoma

For patients with osteosarcoma, the development of metastases, often to the lungs, is the most common cause of death. Long-term outcomes for patients who present with localized or disseminated disease have largely remained unchanged over the past 20 years. Further improvements in outcome are not likely to come from intensification of cytotoxic chemotherapy; as such, new targets for treatment are needed. A view toward such targets in osteosarcoma may be constructed based on three common clinical features of the disease. These include the origin of osteosarcoma in the bone or primitive mesenchymal cells, the predictable process of metastatic progression characterized by this disease, and the development of metastatic lesions almost exclusively in the lung. It is likely and potentially favorable for some targets to be relevant for more than one process. This review summarizes novel targets under evaluation for the treatment of osteosarcoma based on these three features of the disease.

Ladder-like amplification of the type I interferon gene cluster in the human osteosarcoma cell line MG63

The organization of the type I interferon (IFN) gene cluster (9p21.3) was studied in a human osteosarcoma cell line (MG63). Array comparative genomic hybridization (aCGH) showed an amplification of approximately 6-fold which ended at both ends of the gene cluster with a deletion that extended throughout the 9p21.3 band. Spectral karyotyping (SKY) combined with fluorescence in-situ hybridization (FISH) identified an arrangement of the gene cluster in a ladder-like array of 5-7 'bands' spanning a single chromosome termed the 'IFN chromosome'. Chromosome painting revealed that the IFN chromosome is derived from components of chromosomes 4, 8 and 9. Labelling with centromeric probes demonstrated a ladder-like amplification of centromeric 4 and 9 sequences that co-localized with each other and a similar banding pattern of chromosome 4, as well as alternating with the IFN gene clusters. In contrast, centromere 8 was not detected on the IFN chromosome. One of the amplified centromeric 9 bands was identified as the functional centromere based on its location at the chromosome constriction and immunolocalization of the CENP-C protein. A model is presented for the generation of the IFN chromosome that involves breakage-fusion-bridge events.

Gene translocations in musculoskeletal neoplasms

Establishing the best diagnosis for musculoskeletal neoplasms requires a multidisciplinary approach using clinical, radiographic, and histologic analyses. Despite this rigorous approach, establishing accurate diagnoses and prognoses remains challenging. Improved diagnostic methods are expected as unique molecular signals for specific bone and soft tissue cancers are identified. We performed a systematic review of the best available evidence to explore three major applications of molecular genetics that will best benefit clinical management of musculoskeletal neoplasms: diagnostic, prognostic, and therapeutic applications. The specific questions addressed in this systematic review are: (1) What sets of histopathologic sarcoma subtypes will benefit from molecular evaluation and diagnosis? (2) What molecular methods are best applied to histopathologic sarcomas to distinguish between major subtypes? (3) How do the molecular patterns discovered on genetic diagnosis affect prognosis of certain sarcomas? (4) Which sarcoma translocations can benefit from an improved response and outcome using existing and forthcoming pharmacogenetic approaches targeting molecular events? This review summarizes recent advances in molecular genetics that are available and will soon be available to clinicians to better predict outcomes and subsequently help make future treatment decisions.

LEVEL OF EVIDENCE

Level IV, diagnostic study. See the Guidelines for Authors for a complete description of levels of evidence.

Biological importance of a polymorphic CA sequence within intron 1 of the epidermal growth factor receptor gene (EGFR) in high grade central osteosarcomas

Expression of EGFR in high grade osteosarcomas has been observed to be correlated with an improved prognosis. Yet, the underlying mechanism remained unclear since amplifications of EGFR have rarely been described. Recently, the length of a polymorphic CA repeat located at a 5'-regulatory sequence in the intron 1 of the EGFR gene (SSR I) has been shown to be associated with its basal transcriptional activity. We therefore determined the allelic length of CA SSR-I in 219 cases of high grade osteosarcoma and correlated the results with EGFR expression in 34 cases, the presence of amplifications within the CA SSR-I repeat in 59 cases, and clinical follow-up. Our results confirm that in osteosarcoma patients short alleles are more frequent than longer ones, 16 CA repeats being the most frequent. The allele composition differed significantly from the one recently described in a healthy control population (P < 0.01). Short alleles tended to be associated with increased expression of EGFR. Amplifications of the EGFR gene were seen in 13.5% of cases. Significant correlations between allele length composition and neoadjuvant chemotherapy response or long term clinical outcome could not be established. While we were able to show that high frequency of EGFR expression in osteosarcomas is associated with predominantly short alleles of EGFR-CA SSR I, persisting shortcomings in the correspondence with clinical data point toward the existence of additional, putatively more important transcription control mechanisms for EGFR in osteosarcomas which might account for the good prognostic value of EGFR expression.

The role of serine/threonine protein phosphatase type 5 (PP5) in the regulation of stress-induced signaling networks and cancer

Although the aberrant actions of protein kinases have long been known to contribute to tumor promotion and carcinogenesis, roles for protein phosphatases in the development of human cancer have only emerged in the last decade. In this review, we discuss the data obtained from studies examining the biological and pathological roles of a serine/threonine protein phosphatase, PP5, which suggest that PP5 is a potentially important regulator of both hormone- and stress-induced signaling networks that enable a cell to respond appropriately to genomic stress.

Tom1l2 hypomorphic mice exhibit increased incidence of infections and tumors and abnormal immunologic response

Studies have shown that the TOM1 family of proteins, including TOM1 and TOM1L1, are actively involved in endosomal trafficking and function in the immune response. However, much less is known about the function of TOM1L2. To understand the biological importance of TOM1L2 and the potential significance of its cellular role, we created and evaluated Tom1l2 gene-trapped mice with reduced Tom1l2 expression. Mice hypomorphic for Tom1l2 exhibited numerous infections and tumors compared to wild-type littermates. Associated with this increased risk for infection and tumor formation, apparently healthy Tom1l2 hypomorphs also had splenomegaly, elevated B- and T-cell counts, and an impaired humoral response, although at a reduced penetrance. Furthermore, cellular localization studies showed that a Tom1l2-GFP fusion protein colocalizes with Golgi compartments, supporting the role of Tom1l2 in cellular trafficking, while molecular modeling and bioinformatic analysis of Tom1l2 illustrated a structural basis for a functional role in trafficking. These results indicate a role for Tom1l2 in the immune response and possibly in tumor suppression.

Etiology of specific molecular alterations in human malignancies

Cancer results from multiple genomic changes that affect DNA and its gene expression. The DNA sequences may be gained, lost or amplified, or translocated into different parts of the genome to form a fusion gene with oncogenic properties. The occurrence of specific chromosomal aberrations may be restricted to only one cancer type and it may be considered a primary carcinogenic event. Furthermore, the aberration profiles may be used to cluster tumors with similar origins. A variety of techniques exist for the detection of specific chromosomal and gene expression changes. However, the etiology of these molecular alterations remains unclear. Here we discuss the roles of Helicobacter pylori and asbestos burden as carcinogens that cause gastric cancer, mesothelioma and lung cancer.

Neuroblastomas have distinct genomic DNA profiles that predict clinical phenotype and regional gene expression

Neuroblastoma is a heterogeneous neoplasm that has served as a paradigm for the clinical utility of somatically acquired genomic aberrations. DNA copy number alterations (CNA) are currently used to predict prognosis, including MYCN amplification and deletions at chromosome bands 1p36 and 11q23. We predicted that genome-wide assessment of DNA aberrations in neuroblastoma tumors would provide a more precise estimation of clinical phenotype, and could be used to predict outcome. We measured CNAs in a representative set of 82 diagnostic tumors on a customized high-resolution BAC array-based CGH platform supplemented with additional clones across 1p36, 2p24, 3p21-22, 11q14-24, and 16p12-13, and integrated these data with RNA expression data. We used an unbiased statistical method to define a set of minimal common regions (MCRs) of aberration. Unsupervised hierarchical clustering identified four distinct genomic subclasses. First, a subset of tumors with a clinically benign phenotype showed predominantly whole chromosome gains and losses. Second, tumors with MYCN amplification had a unique genomic signature of 1p deletion and 17q gain, but few other rearrangements. Third, tumors with an aggressive clinical phenotype without MYCN amplification, showed multiple structural rearrangements. Most notable were deletions of 3p, 4p, and 11q and gain of 1q, 2p, 12q, and 17q. Lastly, there was a subset of tumors with an aggressive clinical phenotype and no detectable DNA CNAs. The genomic subsets were highly correlated with patient outcome, and individual MCRs remained prognostic in a multivariable model. DNA signature patterns embed important prognostic information in diagnostic neuroblastoma samples, and can identify candidate cancer-related genes.

Genomic imbalances in Schistosoma-associated and non–Schistosoma-associated bladder carcinoma. An array comparative genomic hybridization analysis

Carcinoma of the urinary bladder is the most common malignancy in many tropical and subtropical countries due to endemic infection by Schistosoma hematobium (bilharzia). In the current study, we performed a high-resolution analysis of gene copy number amplifications using array comparative genomic hybridization to compare DNA copy number changes in pools of Schistosoma-associated (SA) and non-Schistosoma-associated (NSA) bladder cancer (BC). Many DNA copy number changes were detected in all studies, with multiple gains and losses of genetic material. The most frequent alterations were gains on 5p15.2 approximately p15.33, 8q13.1, and 11q13, and losses on 8p21.3 approximately p22 and 22q13. Even when SA pools showed no Schistosoma-specific gene copy number profiling as compared to NSA pools, some genes seemed to be gained (ELN on 7q11.23) and some lost (PRKAG3 on 2q35 and PRDM6 on 5q23.2) in SA-SCC. The following genes were gained in all histopathologic categories: SRC (20q11.23), CEBPB (20q13.13), and GPR9 (Xq13.1). Our study did not provide clear evidence of differences in carcinogenesis of SA-BC and NSA-BC.

COPS3 amplification and clinical outcome in osteosarcoma

BACKGROUND

Amplification of several genes that map to a region of chromosome 17p11.2, including COPS3, was observed in high-grade osteosarcoma. These genes were also shown to be overexpressed and may be involved in osteosarcoma tumorigenesis. COPS3 encodes a subunit of the COP9 signalosome implicated in the ubiquitination and ultimately degradation of the P53 tumor suppressor. To determine the relation between COPS3 amplification, P53 mutation, and patient outcome in osteosarcoma, tumors from a large cohort of patients with high-grade osteosarcoma and long-term clinical follow-up were examined.

METHODS

Quantitative real-time polymerase chain reaction (PCR) was performed to detect copy number changes for COPS3, as well as additional genes (NCOR1, TOM1L2, and PMP22) from the 17p11.2 amplicon, in 155 osteosarcomas from a prospective collection of tumors with corresponding clinical data. Univariate and multivariate analyses were performed to assess differences in survival between groups.

RESULTS

Amplification of COPS3, detected in 31% of the osteosarcomas, was strongly associated with large tumor size (P=.0009), but was not associated with age at diagnosis, site, sex, and tumor necrosis. COPS3 amplification was significantly correlated with a shorter time to metastasis with an estimated hazard ratio (HR) of 1.61 (95% confidence interval [CI], 1.02-2.55) in univariate analysis (log-rank test, P=.042). However, in an a priori multivariate Cox model including the other clinical parameters, the HR for COPS3 amplification decreased to 1.32 (95% CI, 0.82-2.13, P=.25), mainly due to the strong correlation with tumor size. COPS3 amplification and P53 mutation frequently occurred in the same tumors, suggesting that these are not mutually exclusive events in osteosarcoma. Although not statistically significant, patients whose tumors exhibited both molecular alterations tended to be more likely to develop metastasis compared with patients with either COPS3 amplification or P53 mutation alone.

CONCLUSIONS

COPS3 is the likely target of the 17p11.2 amplicon. COPS3 may function as an oncogene in osteosarcoma, and an increased copy number may lead to an unfavorable prognosis.

Array comparative genomic hybridization analysis of chromosomal imbalances and their target genes in gastrointestinal stromal tumors

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumor of the gastrointestinal tract. The tumors characteristically harbor KIT or PDGFRA mutations, and mutant tumors respond to imatinib mesylate (Glivectrade mark). Chromosomal imbalances resulting in altered gene dosage are known to have a role in the molecular pathogenesis of these tumors, but the target genes remain to be identified. The present study aimed to identify some of these genes. In total, 35 GIST samples were screened for chromosomal imbalances by array-based comparative genomic hybridization. A cDNA array was used to define the minimal common overlapping areas of DNA copy number change. Eight confirmative, replicate hybridizations were performed using an oligonucleotide array. The most recurrent copy number losses were localized to 14q, 22q, and 1p. Gains were less common with 8q being the most recurrent. Two recurrent deleted regions of 14q were 14q11.2 harboring the PARP2, APEX1, and NDRG2 genes and 14q32.33 harboring SIVA. Additional target candidates were NF2 at chromosome 22, CDKN2A/2B at 9p, and ENO1 at 1p for copy number losses, and MYC at 8q for copy number gains. Array CGH proved to be an effective tool for the identification of chromosome regions involved in the development and progression of GISTs.

Comparative proteomic analysis of human osteosarcoma and SV40-immortalized normal osteoblastic cell lines

AIM

Comparative proteomics provide a powerful approach in screening for alterations in protein levels and post-translational modifications that are associated with tumors. In the present study, we aimed to identify candidate biomarkers to distinguish osteosarcoma (OS) cells from normal osteoblastic cells.

METHODS

We employed 3 OS cell lines (U2OS, IOR/OS9, and SaOS-2), and used the SV40-immortalized normal osteoblastic cell line (hFOB1.19) as the control. The differential protein levels in OS and osteoblastic cells were identified using 2-D gel electrophoresis followed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry analyses. Two proteins of interest, the levels of which were significantly increased in OS cells, were further characterized by Western blot analyses.

RESULTS

Twenty-six proteins were identified, the expression level of which was either significantly increased or decreased in the OS cells as compared to the control cells. The expression level of the activator of 90 kDa shock protein ATPase homolog 1 (AHA1), was enhanced 12.4-, 24.1-, and 23.8-fold in SaOS-2, IOR/OS9, and U2OS cells, respectively, and the level of the stomatin-like protein 2 (SLP-2) was increased by 10.4- and 7.8-fold in IOR/OS9 and U2OS cells, respectively, as compared to normal osteoblastic cells. Those observations were confirmed by Western blot analyses.

CONCLUSION

A differential proteomic analysis was successfully used to identify AHA1 and SLP-2 that were significantly overproduced in OS cells as compared to normal osteoblastic cells, suggesting that those proteins among others may be effective biomarker candidates for the identification of OS cells.

Molecular pathogenesis of osteosarcoma

Osteosarcoma is a devastating but rare disease, whose study has illuminated both the basic biology and clinical management of cancer over the past 30 years. These contributions have included insight into the roles of key cancer genes such as the retinoblastoma tumor suppressor gene and TP53, the identification of familial cancer syndromes implicating DNA helicases, and dramatic improvements in survival by the use of adjuvant chemotherapy. This review provides a synoptic overview of our current understanding of the molecular causes of osteosarcoma, and suggests future directions for study.

Loss of TP53 in sarcomas with 17p12~p11 gain. A fine-resolution oligonucleotide array comparative genomic hybridization study

The amplification or gain of the p-arm of chromosome 17 is common in sarcomas, suggesting its role in carcinogenesis. Here, we report the architectural structure and targets of 17p aberrations commonly shared by osteosarcoma (OS), leiomyosarcoma (LMS) and malignant fibrous histiocytoma (MFH) of soft tissue. Two low-grade and two high-grade soft tissue LMS, three OS, and two MFH samples were studied using fine-resolution oligonucleotide-based microarray comparative genomic hybridization. Eight of the nine samples showed a loss of 17pter-->p13, the locus of tumor suppressor TP53 preceding the amplified area 17p12-->p11.2. The size and detailed architecture of the amplified region of 17p differed between the studied sarcoma entities. OS and high-grade LMS showed similar complex patterns of discontinuous amplifications with regions of gain in between. MFH and low-grade LMS showed continuous regions of gains and amplifications. Precise boundaries of the lost or gained regions were determined, and in addition to the previously suggested targets of the region, ELAC and FLCN were amplified in all the sarcoma entities.

Intrastrand annealing leads to the formation of a large DNA palindrome and determines the boundaries of genomic amplification in human cancer

Amplification of large chromosomal regions (gene amplification) is a common somatic alteration in human cancer cells and often is associated with advanced disease. A critical event initiating gene amplification is a DNA double-strand break (DSB), which is immediately followed by the formation of a large DNA palindrome. Large DNA palindromes are frequent and nonrandomly distributed in the genomes of cancer cells and facilitate a further increase in copy number. Although the importance of the formation of large DNA palindromes as a very early event in gene amplification is widely recognized, it is not known how a DSB is resolved to form a large DNA palindrome and whether any local DNA structure determines the location of large DNA palindromes. We show here that intrastrand annealing following a DNA double-strand break leads to the formation of large DNA palindromes and that DNA inverted repeats in the genome determine the efficiency of this event. Furthermore, in human Colo320DM cancer cells, a DNA inverted repeat in the genome marks the border between amplified and nonamplified DNA. Therefore, an early step of gene amplification is a regulated process that is facilitated by DNA inverted repeats in the genome.

High survivin expression is associated with favorable outcome in advanced primary oral squamous cell carcinoma after radiation therapy

Oral squamous cell carcinoma (OSCC) is a solid neoplasm exhibiting aggressive tumor phenotypes with unpredictable biological behavior. Recent studies suggested that high expression of the antiapoptotic protein survivin might be associated with adverse outcome in oral cancer patients. To investigate, whether increased copy numbers of the survivin-encoding gene BIRC5 results in elevated survivin levels and whether BIRC5 and survivin could serve as progression markers in the clinical course of OSCC, tumor tissue microarray analysis was performed applying fluorescence in situ hybridization and immunohistochemistry to 296 OSCC specimens. Gene copy number gain of BIRC5 was detected in 33.9% (150/227) of cases, which correlated significantly with high UICC stage and the presence of lymph node metastases (p = 0.003 and p = 0.001, respectively), but not with unfavorable patients' outcome (p > 0.05) in multivariate analysis. High survivin expression was found in 67.3% (169/251) of cases to predict increased 5- and 10-year overall survival of patients in a multivariate model including UICC stage and age as covariables (p = 0.035 and p = 0.026, respectively). Within a subgroup of patients, who received radiation therapy (n = 121), high survivin expression was found to be the only predictor of favorable 3-, 5- and 10-year overall survival in a multivariate cox regression analysis including UICC stage and age as covariables (p = 0.001, p = 0.004 and p = 0.006, respectively). In conclusion, high survivin expression might be useful to identify OSCC patients, who would benefit from radiotherapy.

Characterizing genetically stable and unstable gastric cancers by microsatellites and array comparative genomic hybridization

Gastric cancer (GCA) displays a variety of genomic aberrations, including DNA copy number alterations, microsatellite instability (MSI), and loss of heterozygosity (LOH). The main aim of the present work was to determine the copy number aberrations in tumors with and without MSI or LOH. Fifteen fresh-frozen GCA samples, 11 of the intestinal and 4 of the diffuse type, were grouped by microsatellite analysis into high-level MSI (MSI-H, n = 2), LOH (n = 5), and microsatellite stable, LOH not detected (MSS/LOH-N, n = 8) tumors. The DNA samples were subsequently analyzed by array comparative genomic hybridization with 16,000 cDNA clones. As expected, the LOH tumors showed more copy number changes; however, the frequency of small-size amplifications was similar across all tumor groups. In addition, the cDNA arrays detected two apparently single-gene amplicons, at 11q13 (CCND1) and 12p12.1 (K-RAS), the presence of which were confirmed using oligonucleotide arrays. A novel amplicon at 5q13.2 was found only in diffuse-type tumors, which were otherwise genetically stable. The results suggest that DNA copy number changes may also occur in gastric cancers that show genomic stability in microsatellite analysis.

Gene copy number changes in dermatofibrosarcoma protuberans – a fine-resolution study using array comparative genomic hybridization

Dermatofibrosarcoma protuberans (DFSP) is a rare, slow-growing, low-grade dermal tumor. Cytogenetic and FISH studies have revealed that the chromosomal rearrangements characteristic of DFSP tumors involve both translocations and the formation of a supernumerary ring derived from chromosomes 17 and 22. The t(17;22) (q22;q13.1) translocation generates a gene fusion between COL1A1 and PDGFB, which serves as a diagnostic marker of DFSP. In the present study we performed array-CGH (aCGH) analysis on ten DFSP tumors. The COL1A1 region at 17q was gained in 71% (5/7) of the samples and the PDGFB region at 22q was gained in 43% (3/7) of the individual samples. In addition to the 17q and 22q gains, altogether 17 minimal common regions of gain and one region of loss were detected.

Gene copy number profiling of soft-tissue leiomyosarcomas by array-comparative genomic hybridization

Leiomyosarcoma (LMS) is a rare malignant mesenchymal tumor of smooth muscle cells. Chromosomal aberrations in LMS have been studied, but the cytogenetic data that have been published so far are complex, limited, and incomplete. Here, we performed for the first time a high-resolution genome-wide array comparative genomic hybridization (CGH) analysis (aCGH) on a pool of 14 low- and high-grade LMS cases to obtain gene-level information about the amplified and deleted regions that may play a role in the development and progression of LMS. Our aCGH results indicated that 2,218 genes were involved in 25 altered chromosomal regions; 9 regions in low-grade LMS, 12 regions in high-grade LMS, and 4 minimal common regions shared by low- and high-grade LMS. The frequency of DNA copy number gains in high-grade LMS was threefold compared to low-grade LMS, whereas losses in low-grade LMS were almost twice as frequent as in high-grade LMS. Both low- and high-grade tumors shared two minimal common regions of gain (15q26 approximately qter and 17p13.1 approximately q11) and loss (6p12 approximately p21.3 and 13q14.3 approximately qter). Moreover, our findings indicated that low- and high-grade LMS and osteosarcoma share 12 genes located in the 17p amplicon. In conclusion, by using aCGH, we were able to define the precise location of the altered chromosomal areas and to identify putative tumor suppressor genes and oncogenes therein. The list of altered genes in the minimal common regions is available as at our web site (http://www.helsinki.fi/cmg/microarray_data).

The breakage-fusion-bridge (BFB) cycle as a mechanism for generating genetic heterogeneity in osteosarcoma

Osteosarcoma (OS) is characterized by chromosomal instability and high copy number gene amplification. The breakage-fusion-bridge (BFB) cycle is a well-established mechanism of genome instability in tumors and in vitro models used to study the origins of complex chromosomal rearrangements and cancer genome amplification. To determine whether the BFB cycle could be increasing the de novo rate of formation of cytogenetic aberrations in OS, the frequency of anaphase bridge configurations and dicentric chromosomes in four OS cell lines was quantified. An increased level of anaphase bridges and dicentrics was observed in all the OS cell lines. There was also a strong association between the frequencies of anaphase bridges, dicentrics, centrosomal anomalies, and multipolar mitotic figures in all the OS cell lines, indicating a possible link in the mechanisms that led to the structural and numerical instabilities observed in OS. In summary, this study has provided strong support for the role of the BFB cycle in generating the extensive structural chromosome aberrations, as well as cell-to-cell cytogenetic variation observed in OS, thus conferring the genetic diversity for OS tumor progression.

DNA copy number aberrations in intestinal-type gastric cancer revealed by array-based comparative genomic hybridization

Genomic instability can be divided into 2 categories: chromosomal instability (CIN) and microsatellite instability (MSI). CIN has been linked to aneuploidy and chromosomal aberrations, and high-level loss of heterozygosity (LOH-H) has been suggested to be an indicator of CIN. High-level MSI (MSI-H), which results from nonfunctional mismatch repair, has previously been suggested to be mutually exclusive with CIN. Four MSI-H and three LOH-H primary gastric tumors of intestinal histology were used for copy number analysis by array-based comparative genomic hybridization (aCGH) with 13,000 cDNA targets. The MSI-H group showed fewer gains (0-12, average 4.5) and losses (0-10, average 2.5) per tumor as compared to the LOH-H group (9-15 gains, average 11.6 and 1-6 losses, average 4). Two MSI-H tumors did not show any copy number changes and one showed only gains of whole chromosomes. The most common alterations were gains of 20q (5/7 samples), 1q, 8, and 10p (3/7 samples) and losses of 1p and 5p (3/7 samples). The minimal amplified regions in 1q and 20q were localized to 1q21.1 approximately q21.2, 1q21.3, 20q11.2, 20q13.12, and 20q13.3 approximately qter. No copy number change was found to be specific for MSI-H or LOH-H. The results suggest that the LOH-H phenotype revealed by microsatellite analysis predicts reliably copy number abnormalities on aCGH and that a subset of MSI-H and all LOH-H tumors share the CIN phenotype.

Microarray analysis of sarcomas

Microarrays began to be used to study gene expression profiles in the mid-1990s, but it was only after 2000 that serious attempts have been made to apply this technology to investigate sarcomas. Microarray technologies provide a comprehensive survey of active molecular pathways and potential molecular targets for diagnosis and treatment, but are challenging to use because of issues of specimen collection, cost, and complexities in experimental design and data analysis. As a discovery-based technique, microarray analyses are most valuable when framed around specific gaps in our knowledge of tumor etiology and progression, challenges in differential diagnosis, and pressing therapeutic needs. To date, microarray analyses of sarcomas support their division into molecularly defined and molecularly heterogeneous categories, and have provided useful diagnostic markers for entities such as gastrointestinal stromal tumors, synovial sarcoma, and dermatofibrosarcoma protuberans. Signatures predicting outcome and response to therapy have been published for Ewing sarcoma and osteosarcoma, and receptor tyrosine kinase expression patterns have suggested novel therapeutic approaches which may be applied to several types of sarcoma. Nevertheless, results need to be interpreted in the context of histopathology and validated by complementary technologies and/or other research groups.

DNA copy number amplification profiling of human neoplasms

DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes.

Manifestation, mechanisms and mysteries of gene amplifications

Gene amplifications are essential features of advanced cancers and have prognostic as well as therapeutic significance in clinical cancer treatment. Models explaining the amplification process, such as breakage-fusion-bridge cycle and excision and unequal segregation of extrachromosomal DNA fragments, predict that independent DNA double-stranded breaks must occur to induce amplification formation. Many cellular, tissue and environmental factors induce DNA damage and amplifications. Also labile DNA sequence features like fragile sites facilitate amplifications. Although, databases and data mining tools of various genomic attributes are already available, extra-large scale systems biology endeavors to decipher dynamics, interactions and dependencies between different factors contributing to amplification process fail, because current databases of DNA copy number aberrations and fragile sites comprise conventional cytogenetics results obtained at far too coarse chromosome band resolution. Array comparative genomic hybridization (aCGH) enables genome-wide gene copy number measurements and amplification detection at molecular genetic resolution. Similarly, cloning and sequencing of fragile sites produce mapping information of vastly improved resolution. In conclusion, databases of aCGH and sequenced fragile sites are needed to resolve the mechanisms of gene amplifications in systems biology configuration.

Genome-wide differences between microsatellite stable and unstable colorectal tumors

Genomic copy number changes are frequently found in cancers and they have been demonstrated to contribute to carcinogenesis; and it is widely accepted that tumors with microsatellite instability (MSI) are genetically stable and mostly diploid. In the present study we compared the copy number alterations and the gene-expression profiles of microsatellite stable (MSS) and MSI colorectal tumors. A total number of 31 fresh-frozen primary tumors (16 MSS and 15 MSI) were used. Twenty-eight samples (15 MSS and 13 MSI) were analyzed with metaphase comparative genomic hybridization (CGH), nine of which plus one additional sample (4 MSS and 6 MSI) were further analyzed by cDNA-based array-CGH. Gene expression analysis was performed with six samples [3 MSS and 3 MSI, four of these used in metaphase CGH (mCGH) analysis] to identify differentially expressed genes possibly located in the lost or amplified regions found by CGH, stressing the biological significance of copy number changes. Metaphase and array-CGH analysis of two colon cancer cell lines (HTC116 and SW480, reported as MSI and MSS archetypes) gave comparable results. Alterations found by mCGH in MSS tumors were +20, +8q, -8p and -18q. Interestingly, 1p22, 4q26 and 15q21 were found deleted preferentially in MSS tumors, while 22q13 was found gained in MSI tumors. The regions of alterations identified by array-CGH were gains at 8q24, 16q24.3 and 20q13, and the loss of 5q21, appearing in the both types of tumors. Gene expression analysis revealed genes with specific associations with the copy number changes of the corresponding genomic regions. As a conclusion, colorectal cancer is a heterogeneous disease, demonstrated by the genomic profiles of individual samples. However, our data shows that copy number changes do not occur exclusively in the MSS phenotypes.

Amplified, lost, and fused genes in 11q23-25 amplicon in acute myeloid leukemia, an array-CGH study

Gene amplifications occur rarely in hematologic neoplasms. We characterized two cases of acute myeloid leukemia (AML) with marker chromosomes and 11q23-25 amplicons. Case 1 was a 14-year-old male with an additional ring of chromosome 11 material as the sole karyotypic abnormality, as determined by G-banding and multicolor fluorescence in situ hybridization. Standard comparative genomic hybridization (CGH) showed amplification in 11q23-qter. However, the MLL gene, in 11q23, was not amplified by FISH. Case 2 was a 38-year-old male with the G-banding karyotype 51,XY,+8,+19,+3mar and with 11q22-qter amplification by standard CGH. This patient also had the MLL-LARG fusion gene. We used microarray-based CGH (array-CGH) to characterize the amplicons. In case 1, the amplified region in 11q24.3-25 (5.5 Mb) was continuous, and MLL was not amplified, as expected. In case 2, the amplicon was divided into two distinct parts, in 11q23.3 (1.2 Mb) and in 11q23.3-25 (13.3 Mb). It contained a loss ( approximately 1 Mb) in 11q23.3, and the amplicon breakpoint was in the middle of MLL. Although the amplicon size varied, the patients had a common amplified region in 11q24-25 that comprised 14 genes. Expression microarray of case 1 revealed that three of these genes, FLI1, NFRKB, and SNX19, were also overexpressed. The results indicate that the 11q24-q25 region may harbor new candidate oncogenes. In addition, the complex amplicon of case 2 suggests some intriguing chromosomal mechanisms.