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G Sauter

Publications and source records attributed to G Sauter.

At least 37 records · Page 2Linked to original sources

Gene-expression profiles in hereditary breast cancer.

BACKGROUND: Many cases of hereditary breast cancer are due to mutations in either the BRCA1 or the BRCA2 gene. The histopathological changes in these cancers are often characteristic of the mutant gene. We hypothesized that the genes expressed by these two types of tumors are also distinctive, perhaps allowing us to identify cases of hereditary breast cancer on the basis of gene-expression profiles. METHODS: RNA from samples of primary tumor from seven carriers of the BRCA1 mutation, seven carriers of the BRCA2 mutation, and seven patients with sporadic cases of breast cancer was compared with a microarray of 6512 complementary DNA clones of 5361 genes. Statistical analyses were used to identify a set of genes that could distinguish the BRCA1 genotype from the BRCA2 genotype. RESULTS: Permutation analysis of multivariate classification functions established that the gene-expression profiles of tumors with BRCA1 mutations, tumors with BRCA2 mutations, and sporadic tumors differed significantly from each other. An analysis of variance between the levels of gene expression and the genotype of the samples identified 176 genes that were differentially expressed in tumors with BRCA1 mutations and tumors with BRCA2 mutations. Given the known properties of some of the genes in this panel, our findings indicate that there are functional differences between breast tumors with BRCA1 mutations and those with BRCA2 mutations. CONCLUSIONS: Significantly different groups of genes are expressed by breast cancers with BRCA1 mutations and breast cancers with BRCA2 mutations. Our results suggest that a heritable mutation influences the gene-expression profile of the cancer.

Algorithms↗

Discovery of new DNA amplification loci in prostate cancer by comparative genomic hybridization.

BACKGROUND: DNA sequence amplifications are involved in the progression of many tumor types, and have also been found in advanced prostate cancer. The aim of this study was to detect new loci of DNA amplifications in prostate cancer. METHODS: Comparative genomic hybridization (CGH) was used for whole genome screening of DNA sequence copy number alterations in 27 advanced prostate cancers. RESULTS: The most prevalent changes were losses of 8p, 13q (52%, each), 6q (48%), 18q (37%), 5q (30%), 2q, 4q and 16q (26%, each), and gains of 8q (48%), Xq (40%), and Xp (26%). In addition, 16 high-level amplifications were found. These included Xq12 (five), 8q24 (two), and 11q13 (one) with known putative target genes (androgen receptor, MYC and Cyclin D1), and 1q21-25 (three), 10q22 (two), 17q23-24 (two), and 8q21 (one) where the target genes remain unknown. CONCLUSIONS: High-level amplifications at different chromosomal sites occur in advanced prostate cancer. The detection of amplified chromosomal regions may serve as a starting point to discover novel oncogenes involved in prostate cancer progression.

Aged↗

Microarrays of bladder cancer tissue are highly representative of proliferation index and histological grade.

The number of genes suggested to play a role in cancer biology is rapidly increasing. To be able to test a large number of molecular parameters in sufficiently large series of primary tumours, a tissue microarray (TMA) approach has been developed where samples from up to 1000 tumours can be simultaneously analysed on one glass slide. Because of the small size of the individual arrayed tissue samples (diameter 0.6 mm), the question arises of whether these specimens are representative of their donor tumours. To investigate how representative are the results obtained on TMAs, a set of 2317 bladder tumours that had been previously analysed for histological grade and Ki67 labelling index (LI) was used to construct four replica TMAs from different areas of each tumour. Clinical follow-up information was available from 1092 patients. The histological grade and the Ki67 LI were determined for every arrayed tumour sample (4x2317 analyses each). Despite discrepancies in individual cases, the grade and Ki67 information obtained on minute arrayed samples were highly similar to the data obtained on large sections (p<0.0001). Most importantly, every individual association between grade or Ki67 LI and tumour stage or prognosis (recurrence, progression, tumour-specific survival) that was observed in large section analysis could be fully reproduced on all four replica TMAs. These results show that intra-tumour heterogeneity does not significantly affect the ability to detect clinico-pathological correlations on TMAs, probably because of the large number of tumours that can be included in TMA studies. TMAs are a powerful tool for rapid identification of the biological or clinical significance of molecular alterations in bladder cancer and other tumour types.

Adenocarcinoma↗

Tissue microarray (TMA) technology: miniaturized pathology archives for high-throughput in situ studies.

Tissue microarray (TMA) technology allows a massive acceleration of studies correlating molecular in situ findings with clinico-pathological information. In this technique, cylindrical tissue samples are taken from up to 1000 different archival tissue blocks and subsequently placed into one empty 'recipient' paraffin block. Sections from TMA blocks can be used for all different types of in situ tissue analyses including immunohistochemistry and in situ hybridization. Multiple studies have demonstrated that findings obtained on TMAs are highly representative of their donor tissues, despite the small size of the individual specimens (diameter 0.6 mm). It is anticipated that TMAs will soon become a widely used tool for all types of tissue-based research. The availability of TMAs containing highly characterized tissues will enable every researcher to perform studies involving thousands of tumours rapidly. Therefore, TMAs will lead to a significant acceleration of the transition of basic research findings into clinical applications.

Biological Specimen Banks↗

Tissue microarrays for rapid linking of molecular changes to clinical endpoints.

Advances in genomics and proteomics are dramatically increasing the need to evaluate large numbers of molecular targets for their diagnostic, predictive or prognostic value in clinical oncology. Conventional molecular pathology techniques are often tedious, time-consuming, and require a lot of tissue, thereby limiting both the number of tissues and the number of targets that can be evaluated. Here, we demonstrate the power of our recently described tissue microarray (TMA) technology in analyzing prognostic markers in a series of 553 breast carcinomas. Four independent TMAs were constructed by acquiring 0.6 mm biopsies from one central and from three peripheral regions of each of the formalin-fixed paraffin embedded tumors. Immunostaining of TMA sections and conventional "large" sections were performed for two well- established prognostic markers, estrogen receptor (ER) and progesterone receptor (PR), as well as for p53, another frequently examined protein for which the data on prognostic utility in breast cancer are less unequivocal. Compared with conventional large section analysis, a single sample from each tumor identified about 95% of the information for ER, 75 to 81% for PR, and 70 to 74% for p53. However, all 12 TMA analyses (three antibodies on four different arrays) yielded as significant or more significant associations with tumor-specific survival than large section analyses (p < 0.0015 for each of the 12 comparisons). A single sample from each tumor was sufficient to identify associations between molecular alterations and clinical outcome. It is concluded that, contrary to expectations, tissue heterogeneity did not negatively influence the predictive power of the TMA results. TMA technology will be of substantial value in rapidly translating genomic and proteomics information to clinical applications.

Adult↗

CDKNA2A mutation analysis, protein expression, and deletion mapping of chromosome 9p in conventional clear-cell renal carcinomas: evidence for a second tumor suppressor gene proximal to CDKN2A.

Inactivation of tumor suppressor genes on chromosome 9p is considered a critical event in renal cell carcinoma pathogenesis. Alterations of CDKN2A on 9p21 have been reported in renal cancer cell lines, but their relevance for primary renal carcinomas is unclear. Loss of heterozygosity (LOH) was analyzed by using four polymorphic microsatellites at D9S970 (9p12-9p13), D9S171 (9p13), D9S1748 (9p21), and D9S156 (9p21) in 113 primary conventional clear-cell renal cell carcinomas (CRCCs). Allelic deletion was detected in 21 of 88 informative CRCCs (24%) with the highest rate of LOH being observed at D9S171 on 9p13 (20%). Chromosome 9p LOH was associated with short tumor-specific survival in stage pT3 RCC (P = 0.01). Fluorescence in situ hybridization analysis of 54 CRCCs revealed no homozygous CDKN2A deletions indicating that this mechanism of CDKN2A inactivation is rare in CRCC. Sequencing of 113 CRCCs showed that 13 tumors (12%) had a 24-bp deletion abrogating codons 4 through 11 of CDKN2A. Immunohistochemical CDKN2A expression was absent in normal renal tissue and was only detected in six of 382 CRCCs (1.5%) on a renal tumor microarray. These data suggest that CDKN2A alterations are present in a small subset of CRCCs and a second, yet unknown tumor suppressor gene proximal to the CDKN2A locus, may play a role in CRCC development.

Adenocarcinoma, Clear Cell↗

Tissue microarray technology for high-throughput molecular profiling of cancer.

Tissue microarray (TMA) technology allows rapid visualization of molecular targets in thousands of tissue specimens at a time, either at the DNA, RNA or protein level. The technique facilitates rapid translation of molecular discoveries to clinical applications. By revealing the cellular localization, prevalence and clinical significance of candidate genes, TMAs are ideally suitable for genomics-based diagnostic and drug target discovery. TMAs have a number of advantages compared with conventional techniques. The speed of molecular analyses is increased by more than 100-fold, precious tissues are not destroyed and a very large number of molecular targets can be analyzed from consecutive TMA sections. The ability to study archival tissue specimens is an important advantage as such specimens are usually not applicable in other high-throughput genomic and proteomic surveys. Construction and analysis of TMAs can be automated, increasing the throughput even further. Most of the applications of the TMA technology have come from the field of cancer research. Examples include analysis of the frequency of molecular alterations in large tumor materials, exploration of tumor progression, identification of predictive or prognostic factors and validation of newly discovered genes as diagnostic and therapeutic targets.

Animals↗

Tissue microarrays: what will they bring to molecular and anatomic pathology?

The analysis of a large number of tumor tissues with conventional techniques of molecular pathology is tedious and slow. The authors recently developed the tissue microarray technology that makes it possible to sample up to 1,000 tumors on one glass slide, which then can be analyzed by fluorescence in situ hybridization, RNA in situ hybridization, or immunohistochemistry. The tissue microarray technology has the potential to significantly accelerate molecular studies that seek associations between molecular changes and clinicopathologic features of the cancer. Examples of potential applications for tissue microarrays include testing and optimization of probes and antibodies, the organization of large tissue repositories, and the facilitation of multicenter studies. Further, tissue microarrays can be used for educational purposes as well as to improve quality control and standardization of staining methods and interpretation. Tissue microarrays have become one of the most promising tools for the molecular and anatomic pathologist and will have many applications in cancer research, as well as in other fields of pathology. This review article gives an overview of current applications of tissue microarrays as well as possible future development of the technology.

Female↗

CGH, cDNA and tissue microarray analyses implicate FGFR2 amplification in a small subset of breast tumors.

Multiple regions of the genome are often amplified during breast cancer development and progression, as evidenced in a number of published studies by comparative genomic hybridization (CGH). However, only relatively few target genes for such amplifications have been identified. Here, we indicate how small-scale commercially available cDNA and CGH microarray formats combined with the tissue microarray technology enable rapid identification of putative amplification target genes as well as analysis of their clinical significance. According to CGH, the SUM-52 breast cancer cell line harbors several high-level DNA amplification sites, including the 10q26 chromosomal region where the fibroblast growth factor receptor 2 (FGFR2) gene has been localized. High level amplification of FGFR2 in SUM-52 was identified using CGH analysis on a microarray of BAC clones. A cDNA microarray survey of 588 genes showed >40-fold overexpression of FGFR2. Finally, a tissue microarray based FISH analysis of 750 uncultured primary breast cancers demonstrated in vivo amplification of the FGFR2 gene in about 1% of the tumors. In conclusion, three consecutive microarray (CGH, cDNA and tissue) experiments revealed high-level amplification and overexpression of the FGFR2 in a breast cancer cell line, but only a low frequency of involvement in primary breast tumors. Applied to a genomic scale with larger arrays, this strategy should facilitate identification of the most important target genes for cytogenetic rearrangements, such as DNA amplification sites detected by conventional CGH. Figures on http://www.esacp.org/acp/2001/22-4/heiskanen.htm

Breast Neoplasms↗

Multiprobe FISH for enhanced detection of bladder cancer in voided urine specimens and bladder washings.

The aim of this study was to evaluate the UroVysion (Vysis, Downers Grove, IL) fluorescence in situ hybridization (FISH) test for improved detection of bladder cancer in urinary specimens. Three groups of specimens were examined, including voided urine specimens (1) collected before resection of bladder cancer, (2) from cystoscopically negative bladders of patients with previous bladder cancer, and (3) from patients with benign prostatic hyperplasia (controls). FISH positivity was defined as more than 2 urothelial cells with an abnormal signal copy number of at least 1 of the 4 probes. FISH was positive in 1 of 27 control specimens and in 33 (73%) of 45 pTa, 12 (100%) of 12 pT1, and 13 (100%) of 13 pT2-4 tumors. The results were similar in a series of 68 bladder washings. In addition, FISH of voided urine specimens was positive in 5 of 10 patients with negative follow-up cystoscopy results. Subsequent recurrence was found in 4 of these patients but in none of 5 patients with FISH-negative results. Multiprobe FISH markedly improves the sensitivity and specificity of cytology for the detection of bladder cancer in urine specimens.

Humans↗

Genomic organization and chromosomal mapping of SPARC-like 1, a gene down regulated in cancers.

Human SPARC-like 1 (SPARCL1), also known as MAST9 or hevin, is a member of the SPARC protein family. Originally we identified SPARCL1 as one of the genes down regulated in human non-small cell lung cancer (NSCLC). Recent reports indicate that the down regulation of SPARCL1 also occurs in prostate and colon carcinomas, suggesting that SPARCL1 inactivation is a common event not only in NSCLCs but also in other tumors of epithelial origin. In the present work we report the cloning and mapping of the genomic locus of human SPARCL1. Using fluorescence in situ hybridization analysis, SPARCL1 was localized to chromosome 4q22-25, a region often deleted in human cancers. Furthermore, we show that the intron/exon organization of the human SPARCL1 gene is similar to its murine homologue SC1. SPARCL1 contains 11 exons and 10 introns which span approximately 47 kb of the genome. We also sequenced the 5'-flanking region of the human SPARCL1 gene containing 2.4 kb of the putative promoter region. The data presented herein are a prerequisite for deletion/mutation analysis of the SPARCL1 gene in tumors. In addition, knowledge of the SPARCL1 promoter sequence allows to investigate the regulation of SPARCL1 expression on the transcriptional level. Taken together our results will help to clarify the function of SPARCL1 in tumor formation.

Base Sequence↗

Molecular cytogenetic alterations associated with rapid tumor cell proliferation in advanced urinary bladder cancer.

Invasive urinary bladder carcinomas are characterized by a high number of cytogenetic alterations which are thought to pinpoint the location of critical genes, some of which may be involved in cell cycle control. To identify genomic alterations that may affect such genes the proliferative activity (Ki67 labeling index) was assessed in 93 invasively growing bladder carcinomas analyzed by comparative genomic hybridization. Only a few changes were significantly associated with rapid tumor cell proliferation, including 3p+ (p=0.0357), 6p+ (p=0.003), 8q+ (p=0.0273), and 11q- (p=0.0329). Among these alterations 6p+ is of particular interest because high level 6p22 amplifications occur frequently in bladder cancer. The particular strong association between 6p+ and a high tumor cell proliferation being independent of grade and stage suggests that a putative oncogene on 6p22 involved in cell cycle regulation.

Carcinoma, Transitional Cell↗

Tree models for dependent copy number changes in bladder cancer.

We analyzed comparative genomic hybridization data on a collection of 237 bladder cancer tumors with the aim of identifying sets of copy number aberrations (CNAs) that tend to occur together. A test based on Fisher's exact test for pairs, but taking into account multiple testing, showed strong dependencies amongst several pairs of aberrations including (+1q, -11p), (+17q, +20q), (+10p, -17p), (-8p, -17p), (+5p, +10p). To determine whether co-occurrence of CNAs may characterize tumor subtypes, we used two recently proposed methods to construct tree models of tumor progression. We constructed tree models for all the tumors, the tumors of stage pT1, and the tumors of stages pT2-4. The tree models confirmed that most of the non-random events and the associations are the same for different stages. We conclude that the combination of large data sets and tree models provide a useful approach to systematically identifying tumor subgroups characterized by more than a single chromosomal aberration.

Algorithms↗

Construction of evolutionary tree models for renal cell carcinoma from comparative genomic hybridization data.

Renal cell carcinoma is characterized by an accumulation of complex chromosomal alterations during tumor progression. Chromosome 3p deletions are known to occur early in the carcinogenesis, but the nature of subsequent events, their interrelationships, and their sequence is poorly understood, as one usually only obtains a single "view" of the dynamic process of tumor development in a particular cancer patient. To address this limitation, we used comparative genomic hybridization analysis in combination with a distance-based and a branching-tree method to search for tree models of the oncogenesis process of 116 conventional (clear cell) renal carcinomas. This provides a means to analyze and model cancer development processes based on a more dynamic model, including the presence of multiple pathways, as compared with the fixed linear model first proposed by Vogelstein et al. (N. Engl. J. Med., 319: 525-532, 1988) for colorectal cancer. The most common DNA losses involved 3p (61%), 4q (50%), 6q (40%), 9p (35%), 13q (37%), and Xq (21%). The most common gains were seen at chromosome 17p and 17q (20%). The tree model derived from the distance-based method is consistent with the established theory that -3p is an important early event in conventional (clear cell) renal cancer and supports the prediction made from the branching tree that -4q is another important early event. Both tree models suggest that there may be two groups of clear cell renal cancers: one characterized by -6q, +17q, and + 17p, and another by -9p, -13q, and -18q. Putative prognostic parameters were -9p and -13q. The distance-based tree clarifies that -8p (present in 12% of tumors) is a late event, largely independent of other events. In summary, tree modeling of comparative genomic hybridization data provided new information on the interrelationships of genetic changes in renal cancer and their possible order, as well as a clustering of these events. Using tree analysis, one can derive a more in-depth understanding of the renal cancer development process than is possible by simply focusing on the frequencies of genetic events in a given cancer type.

Carcinoma, Renal Cell↗

Genetic changes in clinically organ-confined prostate cancer by comparative genomic hybridization.

OBJECTIVES: The genetic basis underlying prostate cancer development and progression is poorly understood. The primary aim of this study was to identify chromosomal regions important for progression in clinically localized prostate cancer removed by radical prostatectomy. METHODS: Comparative genomic hybridization was used for whole genome screening of DNA sequence copy number alterations in 28 pathologically organ-confined tumors (pT2) and 28 tumors with infiltration of the seminal vesicles (pT3b). RESULTS: Comparative genomic hybridization analysis showed on average 2.0 +/- 2.4 chromosomal alterations per tumor with more frequent losses (mean 1.3 +/- 1.8) than gains (mean 0.7 +/- 1.0). The percentage of tumors without alterations was higher in Stage pT2 (21%) than in Stage pT3b (50%). Losses of 8p (21%), 13q (21%), 5q (14%), 16q (14%), and 18q (13%) and gains of Xq (21%) and 8q (9%) were the most prevalent changes. Distinct regional alterations included minimal overlapping regions of loss at 5q13-q21, 6q14-q21, and 18q21-qter. There was only a small increase in the number of alterations from Stage pT2 to Stage pT3b (mean 1.6 +/- 2.3 versus 2.5 +/- 2.4). However, two individual alterations-gain of 8q and loss of 18q-were significantly more frequent in Stage pT3b than in Stage pT2 prostate cancer (P = 0.02 and P = 0.04, respectively), suggesting that genes in these regions may be important for prostate cancer progression. CONCLUSIONS: The detection of chromosome 8q gains and 18q losses and the identification of the corresponding target genes could become a molecular tool for better characterization of clinically localized prostate cancer.

Chromosome Aberrations↗

Loss of NKX3.1 expression in human prostate cancers correlates with tumor progression.

NKX3.1 is a prostate-specific homeobox gene located on chromosome 8p21. In the mouse, Nkx3.1 has growth-suppressive and differentiating effects on prostatic epithelium. Mutations of the coding region of NKX3.1 were not found in human prostate cancer, failing to support the notion that NKX3.1 was a tumor suppressor gene. To study the expression o NKX3.1 protein in human tissues and prostate cancer, we derived a rabbit antiserum against purified recombinant NKX3.1. Among normal human tissues, NKX3.1 expression was seen in testis, in rare pulmonary mucous glands, and in isolated regions of transitional epithelium of the ureter. NKX3.1 was uniformly expressed in nuclei of normal prostate epithelial cells in 61 histological sections from radical prostatectomy specimens. We analyzed 507 samples of neoplastic prostate epithelium, most of which were contained on a tissue microarray that contained samples from different stages of prostatic neoplasia. We observed complete loss of NKX3.1 expression in 5% of benign prostatic hyperplasias, 20% of high-grade prostatic intraepithelial neoplasias, 6% of T1a/b samples, 22% of T3/4 samples, 34% of hormone-refractory prostate cancers, and 78% of metastases. Our data show that NKX3.1 expression is highly, but not exclusively, specific for the prostate. Loss of NKX3.1 expression is strongly associated with hormone-refractory disease and advanced tumor stage in prostate cancer (P < 0.0001).

Animals↗

Multiple genes at 17q23 undergo amplification and overexpression in breast cancer.

Studies by comparative genomic hybridization imply that amplification of the chromosomal region 17q22-q24 is common in breast cancer. Here, amplification and expression levels of six known genes located at 17q23 were examined in breast cancer cell lines. Four of them (RAD51C, S6K, PAT1, and TBX2) were found to be highly amplified and overexpressed. To investigate the involvement of these genes in vivo, fluorescence in situ hybridization analysis of a tissue microarray containing 372 primary breast cancers was used. S6K, PAT1, and TBX2 were coamplified in about 10% of tumors, whereas RADS1C amplification was seen in only 3% of tumors. Expression analysis in 12 primary tumors showed that RAD51C and S6K were consistently expressed in all cases in which they were amplified and also in some tumors without amplification. These data suggest that 17q23 amplification results in simultaneous up-regulation of several genes, whose increased biological activity may jointly contribute to the more aggressive clinical course observed in patients with 17q23-amplified tumors.

Adult↗

Detecting activation of ribosomal protein S6 kinase by complementary DNA and tissue microarray analysis.

BACKGROUND: Studies by comparative genomic hybridization (CGH) have shown that chromosomal region 17q23 is amplified in up to 20% of primary breast cancers. We used microarray analyses to measure the expression levels of genes in this region and to explore their prognostic importance. METHODS: A microarray that contained 4209 complementary DNA (cDNA) clones was used to identify genes that are overexpressed in the MCF-7 breast cancer cell line as compared with normal mammary tissue. Fluorescence in situ hybridization was used to analyze the copy number of one overexpressed gene, ribosomal protein S6 kinase (S6K), and to localize it to the 17q23 region. Northern and western blot analyses were used to measure S6K gene and protein expression, and an enzymatic assay was used to measure S6K activity. Tumor tissue microarray analysis was used to study amplification of S6K and the HER-2 oncogene, another 17q-linked gene, and the relationship between amplification and prognosis was analyzed. The Kaplan-Meier method was used for data analysis, and the log-rank test was used for statistical analysis. All P values are two-sided. RESULTS: S6K was amplified and highly overexpressed in MCF-7 cells relative to normal mammary epithelium, and protein expression and enzyme activity were increased. S6K was amplified in 59 (8.8%) of 668 primary breast tumors, and a statistically significant association between amplification and poor prognosis (P =.0021) was observed. Amplification of both S6K and HER-2 implied particularly poor survival (P =.0001). CONCLUSIONS: The combination of CGH information with cDNA and tissue microarray analyses can be used to identify amplified and overexpressed genes and to evaluate the clinical implications of such genes and genomic rearrangements. S6K is likely to be one of the genes at 17q23 that is amplified during oncogenesis and may adversely affect the prognosis of patients with this amplification.

Blotting, Northern↗