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Outi Monni

Publications and source records attributed to Outi Monni.

15 recordsLinked to original sources

Differentiation of human embryonal carcinomas in vitro and in vivo reveals expression profiles relevant to normal development.

Embryonal carcinoma is a histologic subgroup of testicular germ cell tumors (TGCTs), and its cells may follow differentiation lineages in a manner similar to early embryogenesis. To acquire new knowledge about the transcriptional programs operating in this tumor development model, we used 22k oligo DNA microarrays to analyze normal and neoplastic tissue samples from human testis. Additionally, retinoic acid-induced in vitro differentiation was studied in relevant cell lines. We identified genes characterizing each of the known histologic subtypes, adding up to a total set of 687 differentially expressed genes. Among these, there was a significant overrepresentation of gene categories, such as genomic imprinting and gene transcripts associated to embryonic stem cells. Selection for genes highly expressed in the undifferentiated embryonal carcinomas resulted in the identification of 58 genes, including pluripotency markers, such as the homeobox genes NANOG and POU5F1 (OCT3/4), as well as GAL, DPPA4, and NALP7. Interestingly, abundant expression of several of the pluripotency genes was also detected in precursor lesions and seminomas. By use of tissue microarrays containing 510 clinical testicular samples, GAL and POU5F1 were up-regulated in TGCT also at the protein level and hence validated as diagnostic markers for undifferentiated tumor cells. The present study shows the unique gene expression profiles of each histologic subtype of TGCT from which we have identified deregulated components in selected processes operating in normal development, such as WNT signaling and DNA methylation.

Carcinoma in Situ↗

Gene amplifications in osteosarcoma-CGH microarray analysis.

Little is known about the genomic alterations underlying osteosarcoma. We performed a genomewide high-resolution gene copy number analysis of 22 osteosarcoma samples using comparative genomic hybridization on a cDNA microarray that contained cDNA clones of about 13,000 genes. Nineteen of the 22 cases had amplifications that on average spanned more than 1 Mb and contained more than 10 genes. Numerous regions of gain and loss were identified, and their boundaries were defined at high resolution. Novel amplicons were found at 14q11, 17q25, and 22q11-q13. Earlier-known large amplified regions were detected at 12q11-q15, 8q24, 6p12-p13, and 17p11-p13 in 8, 6, 5, and 4 of the 22 samples, respectively. Amplification of 12q was observed more frequently (36% of the cases) than previously reported. Previously known small amplicons at 1p34-p36, 1q21, 19q13, and 21q22 were seen in at least three cases. Our results implicate TOM1L2 and CYP27B1 as having roles as novel targets for the 17p and 12q amplicons, respectively. Details (www.helsinki.fi/cmg) of the amplified genes in each amplicon provide valuable raw data for further in silico studies.

Adolescent↗

Effects of Herceptin treatment on global gene expression patterns in HER2-amplified and nonamplified breast cancer cell lines.

Herceptin is a humanized monoclonal antibody targeted against the extracellular domain of the HER2 oncogene, which is amplified and overexpressed in 10-34% of breast cancers. Herceptin therapy provides effective treatment in HER2-positive metastatic breast cancer, although a favorable treatment response is not achieved in all cases. Here, we show that Herceptin treatment induces a dose-dependent growth reduction in breast cancer cell lines with HER2 amplification, whereas nonamplified cell lines are practically resistant. Time-course analysis of global gene expression patterns in amplified and nonamplified cell lines indicated a major change in transcript levels between 24 and 48 h of Herceptin treatment. A step-wise gene selection algorithm revealed a set of 439 genes whose temporal expression profiles differed most between the amplified and nonamplified cell lines. The discriminatory power of these genes was confirmed by both hierarchical clustering and self-organizing map analyses. In the amplified cell lines, the Herceptin treatment induced the expression of several genes involved in RNA processing and DNA repair, while cell adhesion mediators and known oncogenes, such as c-FOS and c-KIT, were downregulated. These results provide additional clues to the downstream effects of blocking the HER2 pathway in breast cancer and may provide new targets for more effective treatment.

Antibodies, Monoclonal↗

Helicobacter pylori infection activates FOS and stress-response genes and alters expression of genes in gastric cancer-specific loci.

We studied human gene expression changes caused by Helicobacter pylori infection by using an in vitro model and 13k cDNA microarrays. A gastric cancer cell line was infected with H. pylori strain NCTC 11637. H. pylori infection was found to induce differential expression of genes in chromosomal locations known to contain frequent chromosomal aberrations and gene mutations specific to gastric cancer. Based on the results of time series experiments, the primary transcription target of the infection seemed to be FOS, the expression of which significantly increased after H. pylori infection. H. pylori infection also activated transcription of several stress-response genes. H. pylori infection may predispose the host cell to DNA damage in the chromosomal locations specific to gastric cancer by activating transcription and promoting histone removal from these sites, thus exposing its target DNA to mutations.

Chromosome Mapping↗

Are data from different gene expression microarray platforms comparable?

Many commercial and custom-made microarray formats are routinely used for large-scale gene expression surveys. Here, we sought to determine the level of concordance between microarray platforms by analyzing breast cancer cell lines with in situ synthesized oligonucleotide arrays (Affymetrix HG-U95v2), commercial cDNA microarrays (Agilent Human 1 cDNA), and custom-made cDNA microarrays from a sequence-validated 13K cDNA library. Gene expression data from the commercial platforms showed good correlations across the experiments (r = 0.78-0.86), whereas the correlations between the custom-made and either of the two commercial platforms were lower (r = 0.62-0.76). Discrepant findings were due to clone errors on the custom-made microarrays, old annotations, or unknown causes. Even within platform, there can be several ways to analyze data that may influence the correlation between platforms. Our results indicate that combining data from different microarray platforms is not straightforward. Variability of the data represents a challenge for developing future diagnostic applications of microarrays.

Cell Line, Tumor↗

Topoisomerase-II alpha is upregulated in malignant peripheral nerve sheath tumors and associated with clinical outcome.

PURPOSE: To identify target genes of clinical significance for patients with malignant peripheral-nerve sheath tumor (MPNST), an aggressive cancer for which no consensus therapy exists. MATERIALS AND METHODS: Biopsies and clinical data from 51 patients with MPNST were included in this study. Based on our previous research implicating chromosome arm 17q amplification in MPNST, we performed gene expression analyses of 14 MPNSTs using chromosome 17-specific cDNA microarrays. Copy numbers of selected gene probes and centromere probes were then determined by interphase fluorescence in situ hybridization in 16 MPNSTs. Finally, we generated a tissue microarray containing 79 samples from 44 MPNSTs, on which in situ protein expressions of candidate genes were examined and related to clinical end points. RESULTS: Among several deregulated genes found by cDNA microarray analyses, topoisomerase II alpha (TOP2A) was the most overexpressed gene in MPNSTs compared with benign neurofibromas. Excess copies of the TOP2A were also seen at the DNA level in 10 of 16 cases, and high expression of the TOP2A protein was seen in 83% of the tumors on the tissue microarray. The TOP2A-expressing tumors were associated with poor cancer-specific survival and presence of metastases. CONCLUSION: We have identified TOP2A as a target gene in MPNST, using a focused gene expression profiling followed by a DNA copy number evaluation and clinical validation of the encoded protein using a tissue microarray. This study is the first to suggest that TOP2A expression may be a predictive factor for adverse outcome in MPNST.

Adolescent↗

A novel strategy for microarray quality control using Bayesian networks.

MOTIVATION: High-throughput microarray technologies enable measurements of the expression levels of thousands of genes in parallel. However, microarray printing, hybridization and washing may create substantial variability in the quality of the data. As erroneous measurements may have a drastic impact on the results by disturbing the normalization schemes and by introducing expression patterns that lead to incorrect conclusions, it is crucial to discard low quality observations in the early phases of a microarray experiment. A typical microarray experiment consists of tens of thousands of spots on a microarray, making manual extraction of poor quality spots impossible. Thus, there is a need for a reliable and general microarray spot quality control strategy. RESULTS: We suggest a novel strategy for spot quality control by using Bayesian networks, which contain many appealing properties in the spot quality control context. We illustrate how a non-linear least squares based Gaussian fitting procedure can be used in order to extract features for a spot on a microarray. The features we used in this study are: spot intensity, size of the spot, roundness of the spot, alignment error, background intensity, background noise, and bleeding. We conclude that Bayesian networks are a reliable and useful model for microarray spot quality assessment. SUPPLEMENTARY INFORMATION: http://sigwww.cs.tut.fi/TICSP/SpotQuality/.

Algorithms↗

Impact of DNA amplification on gene expression patterns in breast cancer.

Genetic changes underlie tumor progression and may lead to cancer-specific expression of critical genes. Over 1100 publications have described the use of comparative genomic hybridization (CGH) to analyze the pattern of copy number alterations in cancer, but very few of the genes affected are known. Here, we performed high-resolution CGH analysis on cDNA microarrays in breast cancer and directly compared copy number and mRNA expression levels of 13,824 genes to quantitate the impact of genomic changes on gene expression. We identified and mapped the boundaries of 24 independent amplicons, ranging in size from 0.2 to 12 Mb. Throughout the genome, both high- and low-level copy number changes had a substantial impact on gene expression, with 44% of the highly amplified genes showing overexpression and 10.5% of the highly overexpressed genes being amplified. Statistical analysis with random permutation tests identified 270 genes whose expression levels across 14 samples were systematically attributable to gene amplification. These included most previously described amplified genes in breast cancer and many novel targets for genomic alterations, including the HOXB7 gene, the presence of which in a novel amplicon at 17q21.3 was validated in 10.2% of primary breast cancers and associated with poor patient prognosis. In conclusion, CGH on cDNA microarrays revealed hundreds of novel genes whose overexpression is attributable to gene amplification. These genes may provide insights to the clonal evolution and progression of breast cancer and highlight promising therapeutic targets.

Breast Neoplasms↗

Targets of gene amplification and overexpression at 17q in gastric cancer.

DNA copy number gains and amplifications at 17q are frequent in gastriccancer, yet systematic analyses of the 17q amplicon have not been performed. In this study, we carried out a comprehensive analysis of copy number and expression levels of 636 chromosome 17-specific genes in gastric cancer by using a custom-made chromosome 17-specific cDNA microarray. Analysis of DNA copy number changes by comparative genomic hybridization on cDNA microarray revealed increased copy numbers of 11 known genes (ERBB2, TOP2A, GRB7, ACLY, PIP5K2B, MPRL45, MKP-L, LHX1, MLN51, MLN64, and RPL27) and seven expressed sequence tags (ESTs) that mapped to 17q12-q21 region. To investigate the genes transcribed at the 17q, we performed gene expression analyses on an identical cDNA microarray. Our expression analysis showed overexpression of 8 genes (ERBB2, TOP2A, GRB2, AOC3, AP2B1, KRT14, JUP, and ITGA3) and two ESTs. Of the commonly amplified transcripts, an uncharacterized EST AA552509 and the TOP2A gene were most frequently overexpressed in 82% of the samples. Additional studies will be initiated to understand the possible biological and clinical significance of these genes in gastric cancer development and progression.

Blotting, Northern↗

New insights into testicular germ cell tumorigenesis from gene expression profiling.

We have shown recently that about half of the human TGCTs(3) reveal DNA copy number increases affecting two distinct regions on chromosome arm 17q. To identify potential target genes with elevated expressions attributable to the extra copies, we constructed a cDNA microarray containing 636 genes and expressed sequence tags from chromosome 17. The expression patterns of 14 TGCTs, 1 carcinoma in situ, and 3 normal testis samples were examined, all with known chromosome 17 copy numbers. The growth factor receptor-bound protein 7 (GRB7) and junction plakoglobin (JUP) were the two most highly overexpressed genes in the TGCTs. GRB7 is tightly linked to ERBB2 and is coamplified and coexpressed with this gene in several cancer types. Interestingly, the expression levels of ERBB2 were not elevated in the TGCTs, suggesting that GRB7 might be the target for the increased DNA copy number in TGCTs. Because of the limited knowledge of altered gene expression in the development of TGCTs, we also examined the expression levels of 512 additional genes located throughout the genome. Several genes novel to testicular tumorigenesis were consistently up- or down-regulated, including POV1, MYCL1, MYBL2, MXI1, and DNMT2. Additionally, overexpression of the proto-oncogenes CCND2 and MYCN were confirmed from the literature. The overexpressions were for some of the target genes closely associated to either seminoma or nonseminoma TGCTs, and hierarchical cluster analysis of the gene expression data effectively distinguished among the known histological subtypes. In summary, this focused functional genomic characterization of TGCTs has lead to the identification of new gene targets associated with a common genomic rearrangement as well as other genes with potential importance to testicular tumorigenesis.

Chromosomes, Human, Pair 17↗

Cloning of BCAS3 (17q23) and BCAS4 (20q13) genes that undergo amplification, overexpression, and fusion in breast cancer.

In breast cancer, several chromosomal sites frequently undergo amplification, implicating the location of genes important for tumor development and progression. Here we cloned two novel genes, breast carcinoma amplified sequence 3 (BCAS3) and 4 (BCAS4), from the two most common amplification sites in breast cancer, 17q23 and 20q13. The BCAS3 gene at 17q23 spans more than 600 kb at the genomic level and was predicted to encode a 913 amino acid nuclear protein. The BCAS4 gene at 20q13.2 encodes a 211 amino acid cytoplasmic protein. Both BCAS3 and BCAS4 represent novel genes with no homologies to any other known gene or protein. In the MCF7 breast cancer cell line, the BCAS3 and BCAS4 genes were co-amplified, and cloning of a highly overexpressed 1.3-kb transcript revealed a rearrangement fusing the last two exons of BCAS3 with BCAS4. The fusion led to a novel message in which only the first exon of BCAS4 and part of exon 23 of BCAS3 were transcribed. The BCAS4-BCAS3 fusion transcript was detected only in MCF7 cells, but the BCAS4 gene was also overexpressed in nine of 13 breast cancer cell lines. In conclusion, our results indicate that these novel genes, BCAS3 at 17q23 and BCAS4 at 20q13.2, undergo amplification, overexpression, and fusion in breast cancer and therefore may have a role in the frequent chromosomal alterations affecting these two loci.

Base Sequence↗

High-throughput copy number analysis of 17q23 in 3520 tissue specimens by fluorescence in situ hybridization to tissue microarrays.

The chromosomal region 17q23 has been shown to be commonly amplified in breast tumors, especially those with poor prognosis. In addition to breast cancer, studies by comparative genomic hybridization have implicated the involvement of 17q23 in other tumor types as well. Here we performed a large-scale survey on the distribution and frequency of the 17q23 copy number increases across different tumor types using fluorescence in situ hybridization on tissue microarrays containing 4788 specimens. A total of 4429 tumor samples representing 166 different tumor categories and 359 normal tissue samples from 40 different tissue categories were analyzed. Successful hybridizations were observed in 3520 of the 4788 specimens (74%). Increased 17q23 copy number was detected in 15% of the evaluable specimens with tumors originating from the lung, mammary gland, and soft tissue being most frequently affected. Interestingly, high-level amplification was detected only in 2% of the tumors and was generally restricted to mammary tumors. In addition, we observed an association between the frequency of increased 17q23 copy number and tumor progression in various tumor types. These results indicate that increased 17q23 copy number occurs frequently in several different tumor types suggesting that increased dosage of genes in this region might play a role in development and progression of many tumor types.

Gene Amplification↗

High-resolution genomic and expression profiling reveals 105 putative amplification target genes in pancreatic cancer.

Comparative genomic hybridization (CGH) studies have provided a wealth of information on common copy number aberrations in pancreatic cancer, but the genes affected by these aberrations are largely unknown. To identify putative amplification target genes in pancreatic cancer, we performed a parallel copy number and expression survey in 13 pancreatic cancer cell lines using a 12,232-clone cDNA microarray, providing an average resolution of 300 kb throughout the human genome. CGH on cDNA microarray allowed highly accurate mapping of copy number increases and resulted in identification of 24 independent amplicons, ranging in size from 130 kb to 11 Mb. Statistical evaluation of gene copy number and expression data across all 13 cell lines revealed a set of 105 genes whose elevated expression levels were directly attributable to increased copy number. These included genes previously reported to be amplified in cancer as well as several novel targets for copy number alterations, such as p21-activated kinase 4 (PAK4), which was previously shown to be involved in cell migration, cell adhesion, and anchorage-independent growth. In conclusion, our results implicate a set of 105 genes that is likely to be actively involved in the development and progression of pancreatic cancer.

Cell Line, Tumor↗

High-resolution analysis of gene copy number alterations in human prostate cancer using CGH on cDNA microarrays: impact of copy number on gene expression.

Identification of target genes for genetic rearrangements in prostate cancer and the impact of copy number changes on gene expression are currently not well understood. Here, we applied high-resolution comparative genomic hybridization (CGH) on cDNA microarrays for analysis of prostate cancer cell lines. CGH microarrays identified most of the alterations detected by classic chromosomal CGH, as well as a number of previously unreported alterations. Specific recurrent regions of gain (28) and loss (18) were found, and their boundaries defined with sub-megabasepair accuracy. The most common changes included copy number decreases at 13q, and gains at 1q and 5p. Refined mapping identified several sites, such as at 13q (33-44, 49-51, and 74-76 Mbp from the p-telomere), which matched with minimal regions of loss seen in extensive loss of heterozygosity mapping studies of large numbers of tumors. Previously unreported recurrent changes were found at 2p, 2q, 3p, and 17q (losses), and at 3q, 5p, and 6p (gains). Integration of genomic and transcriptomic data revealed the role of individual candidate target genes for genomic alterations as well as a highly significant (P <.0001) overall association between copy number levels and the percentage of differentially expressed genes. Across the genome, the overall impact of copy number on gene expression levels was, to a large extent, attributable to low-level gains and losses of copy number, corresponding to common deletions and gains of often large chromosomal regions.

Gene Dosage↗