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Multiple genetic loci confer susceptibility to breast and ovarian cancers. We have previously developed a model (BOADICEA) under which susceptibility to breast cancer is explained by mutations in BRCA1 and BRCA2, as well as by the joint multiplicative effects of many genes (polygenic component). We have now updated BOADICEA using additional family data from two UK population-based studies of breast cancer and family data from BRCA1 and BRCA2 carriers identified by 22 population-based studies of breast or ovarian cancer. The combined data set includes 2785 families (301 BRCA1 positive and 236 BRCA2 positive). Incidences were smoothed using locally weighted regression techniques to avoid large variations between adjacent intervals. A birth cohort effect on the cancer risks was implemented, whereby each individual was assumed to develop cancer according to calendar period-specific incidences. The fitted model predicts that the average breast cancer risks in carriers increase in more recent birth cohorts. For example, the average cumulative breast cancer risk to age 70 years among BRCA1 carriers is 50% for women born in 1920-1929 and 58% among women born after 1950. The model was further extended to take into account the risks of male breast, prostate and pancreatic cancer, and to allow for the risk of multiple cancers. BOADICEA can be used to predict carrier probabilities and cancer risks to individuals with any family history, and has been implemented in a user-friendly Web-based program (http://www.srl.cam.ac.uk/ genepi/boadicea/boadicea_home.html). © 2008 Cancer Research UK.

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.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.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.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.

Immunocytochemistry using the monoclonal antibody Ki-67 is a commonly used method to assess proliferative activity of malignant tumours, Ki-67 reacts with proliferating cells with an antigen, whose structure, function and exact locations are unknown. We studied the subcellular location of Ki-67 in MCF-7 cells using immunoelectron microscopy. In the interphase cells, Ki-67 immunoreactivity was localized in the nucleolus, mainly in the nucleolar cortex. In particular, areas of the granular component of the nucleolus were strongly stained. Weak spot-like nucleoplasmic immunostaining was also seen outside the nucleolus. During prophase Ki-67 antigen was localized on the surfaces of the condensed chromatin and during metaphase on the surface of the chromosomes. After cell division and prior to formation of new nucleoli, Ki-67 immunoreactivity was located in the nucleoplasm. Quantification of Ki-67 immunofluorescence signal by flow cytometry revealed highest Ki-67 levels in mitotic cells. The location of Ki-67 is very similar to certain recently described proteins of nucleolar preribosomes suggesting that Ki-67 may also be a component of the preribosomes.

Mutations in fumarate hydratase (fumarase, FH ), a nuclear gene encoding a mitochondrial tricarboxylic acid cycle or Krebs cycle protein also present in the cytosol, have recently been shown to predispose to hereditary leiomyomatosis and renal cell cancer (HLRCC, OMIM 605839)1 or multiple cutaneous and uterine leiomyomatosis (MCL, OMIM 150800).2 In addition to leiomyomas of the skin and uterus, some subjects also develop papillary renal cell carcinoma of rare type II histology.3,4 Germline FH mutations were found in approximately 60% (24/42) of families segregating HLRCC.1 Mutations in FH have been recently observed in apparently sporadic tumours. In a series of lesions studied, one uterine leiomyosarcoma and one cutaneous leiomyoma harboured a germline mutation while one soft tissue sarcoma represented the first known purely somatic case.5 Homozygous germline FH mutations have been found to cause recessive fumarate hydratase deficiency (OMIM 136850).6–8 FH has been mapped to chromosome 1q43, between markers D1S2785 and D1S2842, within 500 kb of D1S2785. ### Key points

Although prostate cancer is the most common non-cutaneous malignancy diagnosed in men in the United States1,2, little is known about inherited factors that influence its genetic predisposition3,4,5. Here we report that germline mutations in the gene encoding 2′-5′-oligoadenylate(2-5A)–dependent RNase L (RNASEL)6,7,8 segregate in prostate cancer families that show linkage to the HPC1 (hereditary prostate cancer 1) region at 1q24–25 (ref. 9). We identified RNASEL by a positional cloning/candidate gene method, and show that a nonsense mutation and a mutation in an initiation codon of RNASEL segregate independently in two HPC1-linked families. Inactive RNASEL alleles are present at a low frequency in the general population. RNASEL regulates cell proliferation and apoptosis through the interferon-regulated 2-5A pathway and has been suggested to be a candidate tumor suppressor gene10,11,12. We found that microdissected tumors with a germline mutation showed loss of heterozygosity and loss of RNase L protein, and that RNASEL activity was reduced in lymphoblasts from heterozyogous individuals compared with family members who were homozygous with respect to the wildtype allele. Thus, germline mutations in RNASEL may be of diagnostic value, and the 2-5A pathway might provide opportunities for developing therapies for those with prostate cancer.

Five to ten percent of prostate cancers may be caused by inherited genetic defects. In order to explore the nature of inherited cancer risks in the genetically homogeneous Finnish population, we investigated the incidence of prostate cancer and other cancers in first-degree relatives of prostate cancer patients by linking the population-based parish records on relatives with the Finnish Cancer Registry (FCR) data.The study population was composed of first-degree relatives of two groups of prostate cancer patients diagnosed in Finland during 1988-1993: (1) all early-onset (60 years) patients (n = 557) from the entire country, (2) a sample (n = 989) of prostate cancer patients diagnosed at an age of60 years. A total of 11,427 first-degree relatives were identified through parish records, and their cancer incidence was determined based on a total of 299,970 person-years. Standardized incidence ratios (SIR) were calculated based on expected cancer rates in the general population.The SIR of prostate cancer was increased in both Cohort 1 (2.5, 95% CI 1.9-3.2) and Cohort 2 (1.7, 95% CI 1.4 2.1). The risk of prostate cancer was high for relatives of patients diagnosed at an early age, and then leveled off for patients in the median age of prostate cancer diagnosis (70-79 years). However, the prostate cancer risk for relatives of patients diagnosedor = 80 years was again statistically significantly elevated (SIR 1.8, 95% CI 1.3-2.6), suggesting a contribution of genetic factors to prostate cancer also at a late age of onset. Gastric cancer was the only other cancer type with a significantly elevated risk among the relatives. Increased risk of gastric cancer was seen only in male relatives of prostate cancer patients diagnosed at an early age, with the highest risk detected for the male relatives of prostate cancer patients diagnosed at an age of 55 years or less (SIR 5.0, 95% CI 2.8-8.2).Our population-based study indicates that hereditary factors may play an important role in the development of prostate cancer among the relatives of men diagnosed both at younger and older ages. This finding is relevant in the context of our observations that HPCX (hereditary prostate cancer susceptibility locus on Xq27-28) linkage in Finland is found exclusively among families with late age of onset. The association of gastric cancer with prostate cancer has not been reported previously, and may reflect the effects of a novel predisposition locus, which increases the risk to both of these common tumor types.

Germline mutations in recessive cancer predisposition genes are uncovered by somatic genetic deletions during tumor development. Analysis of genetic changes in tumor tissues from patients with an inherited predisposition may therefore highlight regions of the genome containing susceptibility or modifier genes. Our aim was to characterize genetic changes in familial prostate cancerTwenty-one primary prostate cancers from 19 Finnish prostate cancer families were analyzed for somatic genetic changes by comparative genomic hybridization (CGH).The average number of genetic alterations per tumor was 4.0 +/- 1.9, distributed equally among losses and gains. The most common losses were found at chromosomal regions 13q14-q22 (29%), 8p12-pter (24%), and 6q13-q16 (14%), and the most common gains at 19p (25%), 19q (14%) and 7q (14%).These results suggest that prostate cancers in genetically predisposed individuals arise for the most part through similar somatic genetic progression pathways as sporadic prostate cancers. This also implies that the biological properties of tumors from the two groups may not be different from one another.

Several predisposition loci for hereditary prostate cancer (HPC) have been suggested, including HPC1 at 1q24-q25 (OMIM #601518) and HPCX at Xq27-q28 (OMIM #300147). Genetically homogeneous populations, such as that of Finland, and distinct subsets of families may help to minimize the genetic heterogeneity that complicates the genetic dissection of complex traits. Here, the role of the HPC1, and HPCX loci in a series of Finnish prostate cancer families was studied, especially in subgroups of families defined by age, number of affected cases, and the mode of disease transmission. DNA samples were collected from 57 Finnish HPC families with at least two living prostate cancer patients. Linkage analysis was carried out with 39 microsatellite markers for the HPC1 region and 22 markers for the HPCX region. The maximum two-point LOD score for the HPCX was 2.05 (marker DXS1205, at theta = 0.14), whereas HPC1 LOD scores were all negative. In HOMOG3R analyses, significant evidence of heterogeneity was observed. Subgroup analyses performed to explore the nature of this heterogeneity indicated that families with no male-to-male (NMM) transmission and a late age of diagnosis (65 years) accounted for most of the HPCX-linked cases. The maximum HPCX LOD score in this subgroup was 3.12 (theta = 0.001). Nonparametric sibling pair analyses gave a peak LOD score of 3.04 (P0.000093) for the NMM transmission subgroup. No subgroup showed any positivity for HPC1. This study suggests that the HPCX-linked prostate cancer families represent a distinct subgroup characterized by NMM transmission of disease and late age of diagnosis.

New genomic large-scale screening techniques have made the task of establishing an accurate molecular fingerprint of cancer cells feasible. Here, we have used a two-phase strategy for identification of molecular alterations in gliomas. First, cDNA microarrays (Clontech Laboratories, Inc., Research Genetics) were used to pinpoint differentially expressed genes between normal brain and diffuse astrocytomas (grades II-IV), and between a primary tumor and a later tumor reoccurrence in the same patient. More than 200 gene expression alterations were detected from glioblastomas, whereas relatively few changes were seen in grade II and grade III tumors. The most distinct progression-related expression change was the up-regulation of the insulin-like growth factor binding protein 2 (IGFBP2) gene. Second, a high-density tissue microarray of 418 brain tumors was constructed and used for clinical validation of gene expression changes. Strong expression of IGFBP2 was associated with progression and poor patient survival in diffuse astrocytomas (P0.0001). Third, comparisons of the data between (a) multiple spots retrieved from one predefined tumor region (IGFBP2 and vimentin immunohistochemistry, 20 tumors) or between (b) standard slides and arrayed tissues (p53 immunohistochemistry, 42 tumors) revealed very little variation. In conclusion, the combined use of DNA microarrays and tissue microarrays offers a powerful strategy for rapid identification and thorough characterization of differentially expressed genes in gliomas.

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.

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 (P0.0001).

Identification of predisposition loci to complex diseases, such as prostate cancer, requires high-quality family material, the ascertainment of which is often laborious, time-consuming and inaccurate with conventional methods. Here, we describe a new method for rapid, nationwide cancer family ascertainment using Finnish Cancer Registry data on 35,761 prostate cancer cases over a 40-year period. As members of a prostate cancer family are likely to share the same family name and place of birth, we stratified all prostate cancer cases by these 2 parameters (10,721 different names and 596 municipalities). Data were compared with the distribution of family names and places of birth for all 3.3 million Finnish men to derive standardized prevalence ratios (SPRs). A significantly elevated SPR of prostate cancer was detected for 468 (1.6%) of the 28,459 evaluable combinations of family name and place of birth. Of the 20 highest SPR values, 19 corresponded to true nuclear families, most of these having 3 or more affected cases. Two-thirds of our 50 previously established Finnish prostate cancer families were classified among this 1.6% fraction of the highest SPR values. Finally, many of the highest SPR values originated from municipalities in southern and south-western Finland. To explore whether such clusters could highlight local founder effects, we applied genealogical research to link together several families with elevated SPRs and identified an extended family with 20 prostate cancer cases with common ancestors in the early seventeenth century. In summary, a rapid novel method was developed and validated for identification of prostate cancer families from nationwide cancer registry data and for the identification of putative regional founder effects.

Breast cancer cell lines provide a useful starting point for the discovery and functional analysis of genes involved in breast cancer. Here, we studied 38 established breast cancer cell lines by comparative genomic hybridization (CGH) to determine recurrent genetic alterations and the extent to which these cell lines resemble uncultured tumors. The following chromosomal gains were observed: 8q (75%), 1q (61%), 20q (55%), 7p (44%), 3q (39%), 5p (39%), 7q (39%), 17q (33%), 1p (30%), and 20p (30%), and the most common losses were: 8p (58%), 18q (58%), 1p (42%), Xp (42%), Xq (42%), 4p (36%), 11q (36%), 18p (33%), 10q (30%), and 19p (28%). Furthermore, 35 recurrent high-level amplification sites were identified, most often involving 8q23 (37%), 20q13 (29%), 3q25-q26 (24%), 17q22-q23 (16%), 17q23-q24 (16%), 1p13 (11%), 1q32 (11%), 5p13 (11%), 5p14 (11%), 11q13 (11%), 17q12-q21 (11%), and 7q21-q22 (11%). A comparison of DNA copy number changes found in the cell lines with those reported in 17 published studies (698 tumors) of uncultured tumors revealed a substantial degree of overlap. CGH copy number profiles may facilitate identification of important new genes located at the hotspots of such chromosomal alterations. This was illustrated by analyzing expression levels of 1236 genes using cDNA microarrays in four of the cell lines. Several highly overexpressed genes (such as RCH1 at 17q23, TOPO II at 17q21-q22, as well as CAS and MYBL2 at 20q13) were involved in these recurrent DNA amplifications. In conclusion, DNA copy number profiles were generated by CGH for most of the publicly available breast cancer cell lines and were made available on a web site (http://www.nhgri.nih.gov/DIR/CGB/++ +CR2000). This should facilitate the correlative analysis of gene expression and copy number as illustrated here by the finding by cDNA microarrays of several overexpressed genes that were amplified.

We report here an example of how the combined application of cDNA and tumor array can lead to the identification of a novel prognostic marker within a very short time. A cDNA array analysis was performed on 5184 cDNA clones on a filter to screen for genes with differential expression between the renal cancer cell line CRL-1933 and normal kidney tissue to identify genes with relevance in RCC. There were 89 differentially expressed genes in the cancer cell line, one of them coding for vimentin, a cytoplasmic intermediate filament. To determine the in vivo prevalence and prognostic significance of vimentin expression, a renal cancer tissue micro array containing 532 RCC specimen was constructed and vimentin expression was determined by immunohistochemistry. Vimentin expression was frequently seen in clear-cell (51%) and papillary RCC (61%), but rarely in chromophobe RCC (4%) and oncocytomas (12%). These results obtained from minute arrayed tumor samples match with previous findings on vimentin expression in renal tumors. Furthermore, vimentin expression was significantly associated with poor patient prognosis (p0.007) independently of grade and stage. These results suggest that tissue microarray analysis provides a rapid and powerful method to determine the prevalence and prognostic significance of novel candidate genes discovered to be involved in cancer development with large-scale cDNA expression arrays. The tissue array can be adapted as a routine tool in research laboratories for analyses of large tumor series at the DNA, RNA or protein level. With such a tool, cancer researchers can study vast numbers of tumor samples in a short time and can generate a wealth of data on the application of tumor markers.

Gene amplifications are common in many different tumor types and may confer diagnostic, prognostic, or therapeutic information for patient management. Tedious experiments are often required to determine which tumor types have amplifications of a specific oncogene. To facilitate rapid screening for molecular alterations in many different malignancies, a tissue microarray consisting of samples from 17 different tumor types was generated. Altogether, 397 individual tumors were arrayed in a single paraffin block. To determine whether results from the literature can be reproduced on minute tissue samples (diameter, 0.6 mm), amplification of three extensively studied oncogenes (CCND1, CMYC, and ERBB2) was analyzed in three fluorescence in situ hybridization experiments from consecutive sections cut from the tissue microarray. Amplification of CCND1 was found in breast, lung, head and neck, and bladder cancer, as well as in melanoma. ERBB2 was amplified in bladder, breast, colon, stomach, testis, and lung cancer. CMYC was amplified in breast, colon, kidney, lung, ovary, bladder, head and neck, and endometrial cancer. These results confirm and even extend existing data in the literature on such amplifications. In summary, we applied three fluorescence in situ hybridization experiments to analyze amplifications of three oncogenes in three x 397 tumors within a week. This demonstrates the power of using minute arrayed tissue specimens for tumor screening.

Prostate cancer development and progression is driven by the accumulation of genetic changes, the nature of which remains incompletely understood To facilitate high-throughput analysis of molecular events taking place in primary, recurrent, and metastat prostate cancer, we constructed a tissue microarray containing small 0.6-mm cylindrical samples acquired from 371 formalin-fixed blocks, including benign prostatic hyperplasia (n = 32) and primary tumors (n = 223), as well as both locally recurrent tumors (n = 54) and metastases (n = 62) from patients with hormone-refractory disease. Fluorescence in situ hybridization (FISH) was applied to the analysis of consecutive tissue microarray sections with probes for five different genes. High-level (or =3X) amplifications were very rare (2%) in primary prostate cancers However, in metastases from patients with hormone-refractory disease, amplification of the androgen receptor gene was seen in 22%, MYC in 11%, and Cyclin-D1 in 5% of the cases. In specimens from locally recurrent tumors, the corresponding percentages were 23, 4, and 8%. ERBB2 and NMYC amplifications were never detected at any stage of prostate cancer progression. In conclusion, FISH to tissue microarray sections enables high-throughput analysis of genetic alterations contributing to cancer development and progression. Our results implicate a role for amplification of androgen receptor in hormonal therapy failure and that of MYC in the metastatic progression of human prostate cancer.

To identify chromosomal regions that may contain loci for tumor suppressor genes involved in adrenocortical tumor development, a panel of 60 tumors (39 carcinomas and 21 adenomas) were screened for loss of heterozygosity. Although the vast majority of loss of heterozygosity (LOH) were detected in the carcinomas and involved chromosomes 2, 4, 11, and 18, only few were found in the adenomas. Therefore, 2 loci that harbor the familial cancer syndromes Carney complex in 2p16 and the multiple endocrine neoplasia type 1 gene in 11q13 were further studied in 27 (13 carcinomas and 14 adenomas) of the 60 tumors. Detailed analysis of the 2p16 region mapped a minimal area of overlapping deletions to a 1-centimorgan region, which is separate from the Carney complex locus. LOH for a microsatellite marker (PYGM), very close to the MEN1 gene, was detected in all 8 informative carcinomas (100%) and in 2 of 14 adenomas. Of the 27 cases analyzed in detail, 13 cases (11 carcinomas and 2 adenomas) showed LOH on chromosome 11 and was therefore selected for MEN1 gene mutation analysis. In 6 cases a common polymorphism (Asp418Asp) was found, but no mutation was detected. In conclusion, our data indicate the existence of tumor suppressor genes at multiple chromosomal locations, whose inactivations are involved in the development of adrenocortical carcinomas. Loss of genetic material from 2p16 was strongly associated with the malignant phenotype, as it was seen in almost all carcinomas but not in any of the adenomas. LOH in 11q13 also occurred frequently in the carcinomas, but was not associated with a MEN1 mutation, suggesting the involvement of a different tumor suppressor gene on this chromosome.

Androgen receptor (AR) is a nuclear transcription factor that binds male sex steroids and mediates the biological effects of these hormones to the target cells, such as the epithelial cells of the prostate gland, by activating transcription of androgen-dependent genes. Withdrawal of androgens or the peripheral blockade of androgen action remain the critical therapeutic options for the treatment of advanced prostate cancer. However, after initial regression, many prostate cancers become hormone refractory and progress further with eventual fatal outcome. Understanding the mechanisms of tumor progression and endocrine therapy failure is an important goal. A large number of different molecular mechanisms may be responsible for development of hormone-refractory recurrent tumors. Many of these involve the AR gene and its complex downstream signaling pathways. The role of AR mutations and altered transactivational properties of the receptor have received the most attention as causative factors for progression. However, other mechanisms, such as AR gene amplification and overexpression or increased local bioconversion of androgens, may contribute to the development of progression by mechanisms that involve androgen-dependent cell growth. Here we review the role of the AR gene and its putative downstream effector pathways during human prostate cancer progression and endocrine therapy failure.

The genetic basis and molecular pathogenesis of chronic lymphocytic leukemia (CLL) and the molecular mechanisms responsible for its progression remain poorly understood. Here, karyotyping techniques specifically optimized for CLL, comparative genomic hybridization (CGH), and fluorescence in situ hybridization were used to search for CLL-specific genetic aberrations. CGH and karyotyping both revealed copy number changes in 12 of the 25 CLL cases (48%) analyzed. Loss at 11q emerged as the most common aberration (6 cases), followed by a gain of chromosome 12 (4) and loss at 13q (3). Concordance between CGH and G-banding was found in 23 of the 25 cases (92%), which is more than reported in a recent similar CGH study of CLL. Owing to the basic differences in G-banding and CGH, however, their simultaneous clinical application is recommended. The frequent loss of 11q14-24 suggests that this chromosomal region deserves further attention as a candidate locus involved in the pathogenesis of CLL.

To understand the genetic basis and clonal evolution underlying metastatic progression of human breast cancer in vivo, we analyzed the genetic composition of 29 primary breast carcinomas and their paired asynchronous metastases by comparative genomic hybridization and fluorescence in situ hybridization. The mean number of genetic changes by comparative genomic hybridization was 8.7 +/- 5.3 in primary tumors and 9.0 +/- 5.7 in their metastases. Although most of the genetic changes occurred equally often in the two groups, gains of the Xq12-q22 region were enriched in the metastases. According to a statistical analysis of shared genetic changes and breakpoints in paired specimens, 20 of the metastases (69%) showed a high degree of clonal relationship with the corresponding primary tumor, whereas the genetic composition of 9 metastases (31%) differed almost completely from that of the paired primary tumors. In both groups, however, chromosome X inactivation patterns suggested that the metastatic lesions originated from the same clone as the primary tumor. Fluorescence in situ hybridization analysis with probes specific to metastatic clones usually failed to find such cells in the primary tumor sample. In conclusion, detailed characterization of the in vivo progression pathways of metastatic breast cancer indicates that a linear progression model is unlikely to account for the progression of primary tumors to metastases. An early stem line clone apparently evolves independently in the primary tumor and its metastasis, eventually leading to multiple, genetically almost completely different, clones in the various tumor locations in a given patient. The resulting heterogeneity of metastatic breast cancer may underlie its poor responsiveness to therapy and explain why biomarkers of prognosis or therapy responsiveness measured exclusively from primary tumors give a restricted view of the biological properties of metastatic breast cancer.

The differentiation between malignant and benign adrenocortical tumors is often difficult, and better markers are required. Because the genetic background of adrenocortical tumors is poorly characterized, we used comparative genomic hybridization (CGH) to screen for DNA sequence copy number changes in 8 sporadic primary adrenocortical cancers and 14 adenomas. There was a strong relationship between the number of genetic aberrations detected using CGH and both tumor size and malignancy. No alterations were seen in the smaller adenomas (5 cm), whereas the two largest adenomas (5 cm each) and seven of the eight cancers (7-20 cm) showed an increased number of genetic alterations. The presence of genetic aberrations detected using CGH was associated with an aneuploid DNA pattern. In the cancers, losses most often involved the chromosomal regions 2, 11q, and 17p (four of eight tumors), whereas gains took place at chromosomes 4 and 5 (four of eight tumors). In conclusion, our data indicate that genetic changes may help to define the malignant potential of adrenocortical tumors. Furthermore, the CGH results implicate several chromosomal regions that may contain genes with an important role in the development of adrenocortical cancers.

DNA amplification at 20q13.2 is common in breast cancer, correlates with poor prognosis, and may reflect location of an important oncogene. Recently, other regions along 20q were also found to undergo amplification. Here, amplification levels and patterns of co-amplification were analyzed by interphase fluorescence in situ hybridization at 14 loci along 20q in 146 uncultured breast carcinomas and 14 cell lines. Three regions were independently amplified in uncultured tumors: RMC20C001 region at 20q13.2 (highly amplified in 9.6% of the cases), PTPN1 region 3 Mb proximal (6.2%), and AIB3 region at 20q11 (6.2%). Co-amplifications involving two or three of these regions were seen in 11 of the 19 highly amplified tumors. The results suggest that three distinct nonsyntenic regions along 20q may be important and that complex chromosomal rearrangements underlie their frequent co-amplification in breast cancer.

All cases of lung cancer diagnosed in the Tampere University Hospital catchment area in 1983-1987 were identified, analyzed for DNA flow cytometry and followed up to 1992. The patients were classified into 3 groups: screen-detected, symptom-detected, and detected by chance. The biological aggressiveness as indicated by DNA flow cytometry was not related to the survival of the symptom-detected patients. Also the screen-detected patients with an aggressive tumour (aneuploid or high S-phase fraction, SPF) had the same survival as the symptom-detected patients. The survival of screen-detected patients with a diploid or low SPF tumour was significantly better than that in the other groups. It is concluded that some of the previously known discrepancy of no effect on mortality and effect on survival of lung-cancer screening may be due to over-diagnosis, i.e., detection of morphologically malignant but biologically indolent lesions by screening.

The molecular mechanisms and genetic changes that lead to the progression of prostate cancer during endocrine therapy are poorly characterized. Here, paired specimens from both untreated primary tumors and from local recurrences were collected from 10 prostate cancer patients treated by conventional androgen deprivation therapy. The genetic progression of the tumors was studied by using interphase fluorescence in situ hybridization and chromosome-specific probes. Six primary tumors (60%) and all ten recurrent tumors were aneuploid by fluorescence in situ hybridization. The recurrent tumors also showed a high degree of chromosome copy number variability from one cell to another. Increased copy number of chromosome X was particularly common in the recurrent tumors. In addition, specific high level amplification of the androgen receptor (AR) gene (Xq12) was detected in three highly aneuploid recurrent tumors. Our findings suggest that hormone-refractory prostate cancers are genetically very complex and show intratumor genetic heterogeneity. Increased copy number of chromosome X and the amplification of the androgen receptor (AR) gene may confer proliferative advantage during androgen deprivation and thus contribute to the development of recurrence.

Amplification of the chromosome 20q13 region was recently discovered in breast cancer by comparative genomic hybridization and subsequently further defined by fluorescence in situ hybridization with specific probes. The target gene of the amplification remains unknown. Here, fluorescence in situ hybridization with a cosmid probe for the minimal region of amplification (RMC20C001) was used to study 20q13 amplification in 132 primary breast carcinomas and 11 metastases. The size of the amplicon was studied with four flanking probes. Thirty-eight (29%) primary tumors and 3 (27%) metastases showed increased copy number of the RMC20C001 probe (1.5-fold relative to the p-arm control). Nine (6.8%) of the primary tumors were highly (3-fold) amplified. Although the size and location of the amplified region varied from one tumor to another, only the RMC20C001 probe was consistently amplified. 20q13 amplification was significantly associated with a high histological grade (P = 0.01), DNA aneuploidy (P = 0.01), and high S-phase fraction (P = 0.0085). High-level amplification was also associated with short disease-free survival of patients with node-negative breast cancer (P = 0.002). We conclude that high-level 20q13 amplification may be an indicator of poor clinical outcome in node-negative breast cancer and that this chromosomal region is likely to contain a gene with an important role in breast cancer progression. A large definitive study is warranted to assess the independent prognostic value of 20q13 amplification.

Breast cancer progression is determined by a complex pattern of multiple genetic aberrations the association of which with patient prognosis is unknown. In this study, we have undertaken a genome-wide screening to detect genetic changes associated with clinical outcome in node-negative breast cancer. Comparative genomic hybridization was used to screen for DNA sequence gains and losses across all human chromosomes in 23 tumors from node-negative breast cancer patients with no disease recurrence after at least 5 years of follow-up and in 25 node-negative patients with recurrence during the first 5 years of follow-up. The total number of genetic aberrations (copy number gains and losses) per tumor was significantly greater in the recurrence group (P = 0.019) and in the subgroup of these patients who died as a result of breast cancer (P = 0.0022). When copy number losses and gains were analyzed separately, only losses were significant (P = 0.013 for recurrence and P = 0.002 for overall survival). Of the individual loci involved, a high level gain of the long arm of chromosome 8 was significantly associated with recurrence (P = 0.01, Fisher's exact test). Furthermore, amplification of DNA sequences at chromosome 20q12-13 was found in 7 cases (15%), 6 of which had early recurrence within 32 months of diagnosis. This genome-wide overview by comparative genomic hybridization suggests that genetically advanced node-negative breast cancers having a high overall number of genetic aberrations may have a poor prognosis and that increased copy number of two specific regions, 8q and 20q13, may confer a more aggressive phenotype. Results of this pilot study suggest that determination of the total number of DNA sequence copy number aberrations may help therapeutic decision making. Specific probes should be developed to test the prognostic value of 8q and 20q12-13 amplifications in large numbers of patients.

Genetic changes leading to the development of prostate cancer and factors that underlie the clinical progression of the disease are poorly characterized. Here, we used comparative genomic hybridization (CGH) to screen for DNA sequence copy number changes along all chromosomes in 31 primary and 9 recurrent uncultured prostate carcinomas. The aim of the study was to identify those chromosome regions that contain genes important for the development of prostate cancer and to identify genetic markers of tumor progression. CGH analysis indicated that 74% of primary prostate carcinoma showed DNA sequence copy number changes. Losses were 5 times more common than gains and most often involved 8p (32%), 13q (32%), 6q (22%), 16q (19%), 18q (19%), and 9p (16%). Allelic loss studies with 5 polymorphic microsatellite markers for 4 different chromosomes were done from 13 samples and showed a 76% concordance with CGH results. In local recurrences that developed during endocrine therapy, there were significantly more gains (P0.001) and losses (P0.05) of DNA sequences than in primary tumors, with gains of 8q (found in 89% of recurrences versus 6% of primary tumors), X (56% versus 0%), and 7 (56% versus 10%), as well as loss of 8p (78% versus 32%), being particularly often involved. In conclusion, our CGH results indicate that losses of several chromosomal regions are common genetic changes in primary tumors, suggesting that deletional inactivation of putative tumor suppressor genes in these chromosomal sites is likely to underlie development of prostate cancer. Furthermore, the pattern of genetic changes seen in recurrent tumors with the frequent gains of 7, 8q, and X suggests that the progression of prostate cancer and development of hormone-independent growth may have a distinct genetic basis. These chromosome aberrations may have diagnostic utility as markers of prostate cancer progression.

Fluorescence in situ hybridization (FISH) and pulse field gel electrophoresis (PFGE) are essential techniques in physical mapping and in positional cloning. We present a technique that utilizes agarose-embedded high molecular weight DNA prepared for PFGE as a target for FISH. The agarose blocks are melted, and the DNA is extended on a poly-L-lysine-coated microscope slide. The resulting DNA fibers appear on the slide as long straight strands and are a suitable target for high resolution FISH mapping as demonstrated here with cosmid and plasmid hybridizations.

The pattern of chromosomal aberrations and their significance in prostate cancer are poorly understood. We studied 23 prostate cancer and 10 benign prostatic hyperplasia (BPH) specimens by fluorescence in situ hybridization (FISH) using pericentromeric repeat-specific probes for 10 different chromosomes. The aims of the study were: 1) to compare the sensitivity of FISH and DNA flow cytometry in aneuploidy detection, 2) to determine which chromosome copy number changes are most common, and 3) which probe combinations would be most effective in aneuploidy diagnosis. Disaggregated tumor cells from formalin-fixed, paraffin-embedded tissues were pretreated with our newly developed method based on hot glycerol solution to improve probe penetration. All BPH specimens were diploid by DNA flow cytometry and showed no numerical chromosome aberrations by FISH. In prostate cancer, flow cytometry showed abnormal DNA content in 35% of cases, whereas 74% were abnormal by FISH. Aberrant copy number of chromosomes 8 (48% of cases), X (43% of cases), and 7 (39% of cases) were most common. Ninety-four percent of all aneuploid cases would have been detected with these three probes alone. Simple chromosome losses were uncommon but in DNA tetraploid tumors relative losses (trisomy or disomy) of several chromosomes were often found, suggesting progression of prostate cancer through tetraploidization followed by losses of selected chromosomes. In conclusion, our results indicate that FISH using three selected chromosome-specific probes is two to three times more sensitive than flow cytometric DNA content analysis in aneuploidy detection.

We evaluated whether proliferating cell nuclear antigen (PCNA) immunohistochemistry with antigen retrieval could be used as a measure of cell proliferation in archival, formalin-fixed, paraffin-embedded tissues and whether the staining results have long-term prognostic significance in axillary node-negative breast cancer. Primary tumor samples obtained from 109 axillary-node-negative breast cancer cases were used for the study. The best staining results were obtained with the 19A2 antibody after microwave heating in a solution of saturated lead thiocyanate. Using this method, there was a significant correlation (linear regression, r = 0.580, P < 0.001) between the proportion of PCNA19A2-positive carcinoma cells (PCNA19A2 score) and DNA flow cytometric S phase fraction. A high PCNA19A2 score was associated with high mitotic count, DNA aneuploidy, and absence of estrogen receptors. Axillary-node-negative patients with a high PCNA19A2 score (cut-point 8%) had significantly worse prognosis than those with a low PCNA19A2 score (P = 0.008). According to a Cox multivariate analysis, PCNA19A2 score had independent prognostic value but only if S phase fraction was excluded from the analysis. In our study, the PCNAPC10 score correlated weakly only with primary tumor size (analysis of variance) and prognosis (5-year univariate survival analysis), but the significance of these findings needs further evaluation. In conclusion, PCNA immunohistochemistry with the 19A2 antibody after an appropriate antigen retrieval treatment may offer a useful alternative to DNA flow cytometry for the analysis of cell proliferation activity from formalin-fixed, paraffin-embedded breast carcinomas.

116 paraffin-embedded breast cancer samples were analyzed by flow cytometry. From each sample 3 consecutive 50 microns sections were cut for the study. The presence of neoplastic tissue was verified from light microscope sections cut before and after the adjacent sections. One laboratory started with one section from each block and was allowed extra sections when needed for analysis. At the end the laboratory obtained results from all 116 cases. The rest of the samples were studied by 2 other laboratories. Samples with results from 2 or 3 laboratories then allowed variability analysis and the estimation of the grading efficiency in a 2-grade system. Inconsistency in diploidy/aneuploidy distinction was present in 36 of 111 (32.4%) cases studied by two or three laboratories. This inconsistency was less obvious in samples graded as multiploid by at least one of the laboratories. The grading efficiency as analyzed from the results of 3 laboratories was 0.89, and of 2 laboratories, 0.84. The DNA index showed a slightly higher grading efficiency. At the cutoff point of 1.3, 91% of cases could be expected to be correctly classified into low ploidy and high ploidy groups (grading efficiency 0.91). The S-phase fraction had a mean grading efficiency of 0.89, a performance comparable to that of diploidy/aneuploidy distinction. In the light of the available data the flow cytometric analysis can add to the consistency of grading, especially when compared with subjective histological grading. However, the data do not suggest that flow cytometric analysis of paraffin sections as a grading method would be more consistent than quantitative histopathology from sections.

Growth kinetics of 102 breast carcinomas were studied by immunohistochemical analysis with the monoclonal antibody Ki-67, which reacts with a nuclear antigen in proliferating cells. The results were correlated with ploidy and S-phase fraction (SPF) analyzed by DNA flow cytometric study and with mitotic count analyzed by light microscopic study. The proportion of Ki-67-positive cells (Ki-67 score) in breast carcinomas varied from 0.6% to 80% (median, 6.3%). Ki-67 scores were significantly higher in the DNA aneuploid than in the DNA diploid tumors. Ki-67 scores correlated significantly with tumor SPF in DNA aneuploid tumors. In DNA diploid tumors SPF showed no correlation with Ki-67 score. High Ki-67 scores were associated with high mitotic counts (P less than 0.0001) and histologic grade (P less than 0.0001). Nuclear pleomorphism, tubule formation, or lymph node status were not correlated with Ki-67 score. In conclusion, Ki-67 immunostaining correlates with other measures of cell proliferation (SPF, mitotic count) supporting its clinical significance.

Cancer development is thought to be caused by a sequence of genetic changes, but the details of these genetic progression events are only partially understood and many important cancer genes still remain to be cloned. This presentation will highlight new strategies for dissecting the multi-step progression of breast and prostate cancer. Comparative genomic hybridization (CGH) has enabled the identification of chromosomal regions likely to harbor important genes for tumorigenesis, metastasis and drug resistance as illustrated here by three examples of breast and prostate cancer research: 1) Amplification of the 20q13 chr region was found in breast cancer suggesting the location of a new important oncogene. 2) Distant metastases of breast cancer were often found to be remotely, if at all, clonally related with the primary tumors. Measurements of e. g. prognostic factors from the primary tumors may therefore not reflect the biological properties of metastatic tumor cells. 3) In prostate cancer, amplification of the Xq12 region, the site of the human androgen receptor (AR) gene, emerged in conjunction with the development of resistance to androgen deprivation. A Ramplification was found in ≈ 25% of recurrent prostate tumors and apparently facilitated tumor cell growth in low androgen concentrations. These clinical implications of CGH illustrate the power of new genetic screening tools in dissecting the genetic basis of cancer progression.