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Deon J Venter

Publications and source records attributed to Deon J Venter.

17 recordsLinked to original sources

Complex CGH alterations on chromosome arm 8p at candidate tumor suppressor gene loci in breast cancer cell lines.

Loss of genetic material from chromosome arm 8p occurs frequently in human breast carcinomas, consistent with this region of the genome harboring one or more tumor suppressor genes (TSGs). We used the complementary techniques of microsatellite-based LOH, high-density FISH, and conventional CGH on 6 breast cancer cell lines (MCF7, SKBR3, T47D, MDA MB453, BT549, and BT474) to investigate the molecular cytogenetic changes occurring on chromosome 8 during tumorigenesis, with particular emphasis on 6 potential TSGs on 8p. We identified multiple alterations of chromosome 8, including partial or complete deletion of 8p or 8q, duplication of 8q, and isochromosome 8q. The detailed FISH analysis showed several complex rearrangements of 8p with differing breakpoints of varying proximity to the genes of interest. High rates of LOH were observed at markers adjacent to or within PCM1, DUSP4/MKP2, NKX3A, and DLC1, supporting their status as candidate TSGs. Due to the complex ploidy status of these cell lines, relative loss of 8p material detected by CGH did not always correlate with microsatellite-based LOH results. These results extend our understanding of the mechanisms accompanying the dysregulation of candidate tumor suppressor loci on chromosome arm 8p, and identify appropriate cellular systems for further investigation of their biological properties.

Alleles↗

Sialin, an anion transporter defective in sialic acid storage diseases, shows highly variable expression in adult mouse brain, and is developmentally regulated.

Sialin is a lysosomal membrane protein encoded by the SLC17A5 gene, which is mutated in patients with sialic acid storage diseases (SASD). To further understand the role of sialin in normal CNS development and in the progressive neuronal atrophy and dysmyelination seen in SASD, we investigated its normal cellular distribution in adult and developing mice. Overall, sialin showed granular immunoreactivity, consistent with a vesicular protein. Adult mice showed widespread sialin expression, including in the brain, heart, lung, and liver. High-level immunoreactivity was seen in the neuropil of the hippocampus, striatum, and cerebral cortex, as well as in the perikarya of cerebellar Purkinje cells, globus pallidus, and certain thalamic and brainstem nuclei. In mouse embryos, the highest levels of expression were observed in the nervous system. We discuss the possible role of sialin in normal development and in SASD pathogenesis, as a framework for further investigation of its function in these contexts.

Amino Acid Sequence↗

Candidate tumor-suppressor genes on chromosome arm 8p in early-onset and high-grade breast cancers.

Loss of genetic material from chromosome arm 8p occurs commonly in breast carcinomas, suggesting that this region is the site of one or more tumor-suppressor genes (TSGs). Comparative genomic hybridization analysis showed that 8p loss is more common in breast cancers from pre-menopausal compared with post-menopausal patients, as well as in high-grade breast cancers, regardless of the menopausal status. Subsequent high-resolution gene expression profiling of genes mapped to chromosome arm 8p, on an extended cohort of clinical tumor samples, indicated a similar dichotomy of breast cancer clinicopathologic types. Some of these genes showed differential downregulation in early-onset and later-onset, high-grade cancers compared with lower-grade, later-onset cancers. Three such genes were analysed further by in situ technologies, performed on tissue microarrays representing breast tumor and normal tissue samples. PCM1, which encodes a centrosomal protein, and DUSP4/MKP-2, which encodes a MAP kinase phosphatase, both showed frequent gene and protein loss in carcinomas. In contrast, there was an excess of cases showing loss of expression in the absence of reduced gene copy number of SFRP1, which encodes a dominant-negative receptor for Wnt-family ligands. These candidate TSGs may constitute some of the molecular drivers of chromosome arm 8p loss in breast carcinogenesis.

Breast Neoplasms↗

The Breast Cancer Family Registry: an infrastructure for cooperative multinational, interdisciplinary and translational studies of the genetic epidemiology of breast cancer.

INTRODUCTION: The etiology of familial breast cancer is complex and involves genetic and environmental factors such as hormonal and lifestyle factors. Understanding familial aggregation is a key to understanding the causes of breast cancer and to facilitating the development of effective prevention and therapy. To address urgent research questions and to expedite the translation of research results to the clinical setting, the National Cancer Institute (USA) supported in 1995 the establishment of a novel research infrastructure, the Breast Cancer Family Registry, a collaboration of six academic and research institutions and their medical affiliates in the USA, Canada, and Australia. METHODS: The sites have developed core family history and epidemiology questionnaires, data dictionaries, and common protocols for biospecimen collection and processing and pathology review. An Informatics Center has been established to collate, manage, and distribute core data. RESULTS: As of September 2003, 9116 population-based and 2834 clinic-based families have been enrolled, including 2346 families from minority populations. Epidemiology questionnaire data are available for 6779 affected probands (with a personal history of breast cancer), 4116 unaffected probands, and 16,526 relatives with or without a personal history of breast or ovarian cancer. The biospecimen repository contains blood or mouthwash samples for 6316 affected probands, 2966 unaffected probands, and 10,763 relatives, and tumor tissue samples for 4293 individuals. CONCLUSION: This resource is available to internal and external researchers for collaborative, interdisciplinary, and translational studies of the genetic epidemiology of breast cancer. Detailed information can be found at the URL http://www.cfr.epi.uci.edu/.

Age Distribution↗

Histological markers that predict clinical recurrence in ductal carcinoma in situ of the breast: an Australian population-based study.

AIMS: The incidence of ductal carcinoma in situ (DCIS) has increased substantially since the advent of widespread screening mammography. Identification of histological markers that predict recurrent disease is essential for optimal treatment management. To assist the clinico-pathological stratification of DCIS, we sought to determine histological markers of recurrence in DCIS in an Australian population-based series. METHODS: In a study of all DCIS reported in Victoria between 1988 and 1992, managed by breast conserving therapy (wide local excision or subtotal mastectomy) with or without adjuvant radiotherapy and/or hormonal therapy, the histological features of DCIS lesions with subsequent ipsilateral recurrence as in situ or invasive breast cancer were compared with a similarly managed control group of DCIS without recurrence. RESULTS: Large lesion size, presence of nuclear pleomorphism, absence of cellular polarisation and extensive necrosis were all significant predictors of recurrence (P<0.05). Primary and recurrent DCIS lesions had similar morphological features, and invasive recurrence was characterised by ductal type with high nuclear grade. CONCLUSION: This study identifies histological markers in DCIS associated with recurrence in an Australian population, and demonstrates similar histological appearances between primary and secondary lesions. These histological characteristics may be used to stratify DCIS subtypes and facilitate the future optimisation of disease management.

Adult↗

Tissue microarrays: a practical guide.

Tissue microarrays are a recent innovation in the field of pathology. They were originally designed as a high-throughput approach for researchers to assess the expression of interesting candidate disease-related genes or gene products simultaneously on hundreds of tissue samples. However, their use is becoming more widespread in routine pathology, for example for quality assurance and for the optimisation of diagnostic reagents such as monoclonal antibodies and gene probes. Several molecular and conventional pathological techniques can be performed on a single tissue array, thereby enabling morphology, DNA, RNA and protein targets to be analysed on sequential sections through multiple tissue samples. Moreover, compared with full-face tissue sections, tissue microarrays are a cost- and time-efficient, effective approach to analysing biomarker expression on a large number of samples. Whilst tissue microarrays are available from commercial sources, many pathology laboratories prefer to make in-house arrays from their often extensive pathology archive to facilitate the correlation of their findings with clinical parameters. The technical skills necessary to produce tissue arrays are well within the capacity of most laboratories. However, several pitfalls to successful array production exist. The present article describes the applications of this technique and details practical points for optimal tissue array production.

Gene Expression Profiling↗

Log odds of carrying an Ancestral Mutation in BRCA1 or BRCA2 for a Defined personal and family history in an Ashkenazi Jewish woman (LAMBDA).

INTRODUCTION: Ancestral mutations in BRCA1 and BRCA2 are common in people of Ashkenazi Jewish descent and are associated with a substantially increased risk of breast and ovarian cancer. Women considering mutation testing usually have several personal and family cancer characteristics, so predicting mutation status from one factor alone could be misleading. The aim of this study was to develop a simple algorithm to estimate the probability that an Ashkenazi Jewish woman carries an ancestral mutation, based on multiple predictive factors. METHODS: We studied Ashkenazi Jewish women with a personal or family history of breast or ovarian cancer and living in Melbourne or Sydney, Australia, or with a previous diagnosis of breast or ovarian cancer and living in the UK. DNA samples were tested for the germline mutations 185delAG and 5382insC in BRCA1, and 6174delT in BRCA2. Logistic regression was used to identify, and to estimate the predictive strength of, major determinants. RESULTS: A mutation was detected in 64 of 424 women. An algorithm was developed by combining our findings with those from similar analyses of a large study of unaffected Jewish women in Washington. Starting with a baseline score, a multiple of 0.5 (based on the logistic regression estimates) is added for each predictive feature. The sum is the estimated log odds ratio that a woman is a carrier, and is converted to a probability by using a table. There was good internal consistency. CONCLUSIONS: This simple algorithm might be useful in the clinical and genetic counselling setting. Comparison and validation in other settings should be sought.

Australia↗

Familial risks, early-onset breast cancer, and BRCA1 and BRCA2 germline mutations.

BACKGROUND: Having a family history of breast cancer, particularly if it involves early-onset disease, is a risk factor for breast cancer, but little is known about specific causes of this association. Consequently, we studied mothers, sisters, and aunts of an age-stratified sample of 1567 unselected case patients diagnosed with breast cancer before age 60 years, recruited to a population-based, case-control-family study, in which case patients, control subjects, and their relatives were administered the same questionnaire. METHODS: Extensive BRCA1 and BRCA2 mutation testing was carried out for 788 case patients diagnosed before age 40 years, including manual sequencing of DNA from 72 patients with two or more affected relatives. Standardized morbidity ratios, age-specific cumulative risks, and hazard ratios were calculated for groupings of relatives. RESULTS: Cumulative risks of breast cancer to age 50 years in the sisters, mothers, and aunts of the case patients, respectively, were 6, 3, and 2 times the population risk if the case patient was younger than age 40 years at diagnosis but were considerably lower if the case patient was older at diagnosis. When relatives of the case patients with a BRCA1 or BRCA2 mutation were excluded, these risks fell by, at most, 20%. Sisters and aunts, but not mothers, who had an additional first-degree relative with breast cancer were at increased risk, and the risk was greater when that relative was younger at diagnosis. Hazard ratios were 10.7 (95% confidence interval [CI] = 4.2 to 26.8) for sisters and 4.2 (95% CI = 2.2 to 8.1) for aunts, if the relative was aged 40 years at diagnosis. Fewer than one-third of the excess of breast cancers in relatives of case patients diagnosed before age 40 years that are attributed to familial factors are BRCA1- or BRCA2-related. CONCLUSION: Mutations in genes other than BRCA1 and BRCA2 may be associated with a high risk of breast cancer, especially in young women.

Adult↗

Detailed gene copy number and RNA expression analysis of the 17q12-23 region in primary breast cancers.

Chromosome region 17q12-23 commonly shows an increase in DNA copy number in breast cancers, suggesting that several oncogenes are located at this site. We performed a high-resolution expression array and comparative genomic hybridization analysis of genes mapped to the entire 17q12-23 region, to identify novel candidate oncogenes. We identified 24 genes that showed significant overexpression in breast cancers with gain of 17q12-23, compared to cancers without gain. These genes included previously identified oncogenes, together with several novel candidate oncogenes. FISH analysis using specific gene probes hybridized to tissue arrays confirmed the underlying amplification of overexpressed genes. This high-resolution analysis of the 17q12-23 region indicates that several established and novel candidate oncogenes, including a Wnt-signaling pathway member, are amplified and overexpressed within individual primary breast cancer samples. We were also able to confirm the presence of two apparently separate and reciprocally amplified groups of genes within this region. Investigation of these genes and their functional interactions will facilitate our understanding of breast oncogenesis and optimal management of this disease.

Breast Neoplasms↗

Regressive logistic and proportional hazards disease models for within-family analyses of measured genotypes, with application to a CYP17 polymorphism and breast cancer.

Various statistical methods have been proposed to evaluate associations between measured genetic variants and disease, including some using family designs. For breast cancer and rare variants, we applied a modified segregation analysis method that uses the population cancer incidence and population-based case families in which a mutation is known to be segregating. Here we extend the method to a common polymorphism, and use a regressive logistic approach to model familial aggregation by conditioning each individual on their mother's breast cancer history. We considered three models: 1) class A regressive logistic model; 2) age-of-onset regressive logistic model; and 3) proportional hazards familial model. Maximum likelihood estimates were calculated using the software MENDEL. We applied these methods to data from the Australian Breast Cancer Family Study on the CYP17 5'UTR T-->C MspA1 polymorphism measured for 1,447 case probands, 787 controls, and 213 relatives of case probands found to have the CC genotype. Breast cancer data for first- and second-degree relatives of case probands were used. The three methods gave consistent estimates. The best-fitting model involved a recessive inheritance, with homozygotes being at an increased risk of 47% (95% CI, 28-68%). The cumulative risk of the disease up to age 70 years was estimated to be 10% or 22% for a CYP17 homozygote whose mother was unaffected or affected, respectively. This analytical approach is well-suited to the data that arise from population-based case-control-family studies, in which cases, controls and relatives are studied, and genotype is measured for some but not all subjects.

Adult↗

After hMSH2 and hMLH1--what next? Analysis of three-generational, population-based, early-onset colorectal cancer families.

The aim of our study was to examine the role of genetic factors on early-onset colorectal cancer after excluding the impact of germline mutations in the two major mismatch repair genes. A total of 131 incident probands, under 45 years at diagnosis of a first primary colorectal cancer selected from the Victorian Cancer Registry, and their first-and second-degree relatives, were interviewed. Germline DNA from all 12 probands with a family history meeting the modified Amsterdam Criteria for Hereditary Non-Polyposis Colorectal Cancer (HNPCC) and a random sample of 31 of the remaining probands was screened for mutations in hMSH2 and hMLH1 via manual sequencing. Germline mutations were identified in 6 of the 131 probands (5%), all from the "HNPCC" families. Of the remaining 125 probands, 51 (41%) reported at least one first-or second-degree relative with colorectal cancer with an excess of colorectal cancer in first-degree relatives (SMR = 2.7, 95% CI = 1.7-4.1, p < 0.001). The lifetime risk to age 70 for first-degree relatives was 8.0% (5.0-12.8%), compared to the Victorian population risk of 3.2% (p = 0.01). The best fitting major gene model was a recessively-inherited risk of 98% to age 70 (95% CI = 24-100%) carried by 0.17% of the population and would explain 15% of all colorectal cancer in cases with a diagnosis before age 45. Early-onset colorectal cancer is strongly familial even after excluding families found to be segregating a mutation in either of the 2 major mismatch repair genes. There is evidence for a role of yet to be identified genes associated with a high recessively-inherited risk of colorectal cancer.

Adaptor Proteins, Signal Transducing↗

Stanniocalcin 2 is an estrogen-responsive gene coexpressed with the estrogen receptor in human breast cancer.

Differences in gene expression are likely to explain the phenotypic variation between hormone-responsive and hormone-unresponsive breast cancers. In this study, DNA microarray analysis of approximately 10,000 known genes and 25,000 expressed sequence tag clusters was performed to identify genes induced by estrogen and repressed by the pure antiestrogen ICI 182 780 in vitro that correlated with estrogen receptor (ER) expression in primary breast carcinomas in vivo. Stanniocalcin (STC) 2 was identified as one of the genes that fulfilled these criteria. DNA microarray hybridization showed a 3-fold induction of STC2 mRNA expression in MCF-7 cells in < or = 3 h of estrogen exposure and a 3-fold repression in the presence of antiestrogen (one-way ANOVA, P < 0.0005). In 13 ER-positive and 12 ER-negative breast carcinomas, the microarray-derived mRNA levels observed for STC2 correlated with tumor ER mRNA (Pearson's correlation, r = 0.85; P < 0.0001) and ER protein status (Spearman's rank correlation, r = 0.73; P < 0.0001). The expression profile of STC2 was further confirmed by in situ hybridization and immunohistochemistry on a larger cohort of 236 unselected breast carcinomas using tissue microarrays. STC2 mRNA and protein expression were found to be associated with tumor ER status (Fisher's exact test, P < 0.005). The related gene, STC1, was also examined and shown to be associated with ER status in breast carcinomas (Fisher's exact test, P < 0.05). This study demonstrates the feasibility of using global gene expression data derived from an in vitro model to pinpoint novel estrogen-responsive genes of potential clinical relevance.

Breast Neoplasms↗

Comparison of DNA- and RNA-based methods for detection of truncating BRCA1 mutations.

A number of methods are used for mutational analysis of BRCA1, a large multi-exon gene. A comparison was made of five methods to detect mutations generating premature stop codons that are predicted to result in synthesis of a truncated protein in BRCA1. These included four DNA-based methods: two-dimensional gene scanning (TDGS), denaturing high performance liquid chromatography (DHPLC), enzymatic mutation detection (EMD), and single strand conformation polymorphism analysis (SSCP) and an RNA/DNA-based protein truncation test (PTT) with and without complementary 5' sequencing. DNA and RNA samples isolated from 21 coded lymphoblastoid cell line samples were tested. These specimens had previously been analyzed by direct automated DNA sequencing, considered to be the optimum method for mutation detection. The set of 21 cell lines included 14 samples with 13 unique frameshift or nonsense mutations, three samples with two unique splice site mutations, and four samples without deleterious mutations. The present study focused on the detection of protein-truncating mutations, those that have been reported most often to be disease-causing alterations that segregate with cancer in families. PTT with complementary 5' sequencing correctly identified all 15 deleterious mutations. Not surprisingly, the DNA-based techniques did not detect a deletion of exon 22. EMD and DHPLC identified all of the mutations with the exception of the exon 22 deletion. Two mutations were initially missed by TDGS, but could be detected after slight changes in the test design, and five truncating mutations were missed by SSCP. It will continue to be important to use complementary methods for mutational analysis.

BRCA1 Protein↗

The pathology of inherited breast cancer.

Familial breast cancer has been recognised for many years. In the 1990s the genetic mechanism of inheritance of a proportion of these familial cancers was found to be attributable to germline mutation in either of two newly discovered genes, namely BRCA1 and BRCA2. Since the discovery of these genes, studies have been performed in which the pathological characteristics of familial cancers arising in patients with germline BRCA1 and BRCA2 mutation have been examined. A distinct pathological phenotype of high-grade, oestrogen receptor-negative breast cancer, often with medullary features, has been consistently described for BRCA1 cancers. A less distinct phenotype has been described for BRCA2 cancers. The discovery of genotype-phenotype correlation has significant implications for patient management and novel treatment strategies, not only for inherited cancers, but for breast cancer in general.

Breast Neoplasms↗

Hypermethylation of the inhibin alpha-subunit gene in prostate carcinoma.

Inhibin is composed of an alpha- and a beta-subunit. Transgenic studies assigned a tumor-suppressive role to the inhibin alpha-subunit, and in human prostate cancer inhibin alpha-subunit gene expression was down-regulated. This study examined the inhibin alpha-subunit gene promoter and gene locus to determine whether promoter hypermethylation or LOH occurred in DNA from prostate cancer. The 5'-untranslated region of the human inhibin alpha-subunit gene was sequenced and shown to be highly homologous to the bovine, rat, and mouse inhibin alpha-subunit promoter sequences. A 135-bp region of the human promoter sequence that continued a cluster of CpG sites was analyzed for hypermethylation. Significant (P < 0.001) hypermethylation of the inhibin alpha-subunit gene promoter occurred in DNA from Gleason pattern 3, 4, and 5 carcinomas compared with nonmalignant tissue samples. A subset of the carcinomas with a cribriform pattern were unmethylated. LOH at 2q32-36, the chromosomal region harboring the inhibin alpha-subunit gene, was observed in 42% of prostate carcinomas. These data provide the first demonstration that promoter hypermethylation and LOH are associated with the inhibin alpha-subunit gene and gene locus in prostate cancer.

5' Untranslated Regions↗

The BRCA2 372 HH genotype is associated with risk of breast cancer in Australian women under age 60 years.

The BRCA2 N372H nonconservative amino acid substitution polymorphism appears to affect fetal survival in a sex-dependent manner, and the HH genotype was found to be associated with a 1.3-fold risk of breast cancer from pooling five case-control studies of Northern European women. We investigated whether the BRCA2 N372H polymorphism was associated with breast cancer in Australian women using a population-based case-control design. The BRCA2 372 genotype was determined in 1397 cases under the age of 60 years at diagnosis of a first primary breast cancer and in 775 population-sampled controls frequency matched for age. Case-control analyses and comparisons of genotype distributions were conducted using logistic regression. All of the statistical tests were two-tailed. The HH genotype was independent of age and family history of breast cancer within cases and controls, and was more common in cases (9.2% versus 6.5%). It was associated with an increased risk of breast cancer, 1.47-fold unadjusted (95% confidence interval, 1.05-2.07; P = 0.02), and 1.42-fold (95% confidence interval, 1.00-2.02; P = 0.05) after adjusting for measured risk factors. This effect was still evident after excluding women with any non-Caucasian ancestry or the 33 cases known to have inherited a mutation in BRCA1 or BRCA2, and would explain approximately 3% of breast cancer. The BRCA2 N372H polymorphism appears to be associated with a modest recessively inherited risk of breast cancer in Australian women. This result is consistent with the findings for Northern European women.

Adult↗

The progesterone receptor exon 4 Val660Leu G/T polymorphism and risk of breast cancer in Australian women.

An Alu insertion polymorphism of the progesterone receptor (PR) wasreported recently to be associated with a reduced risk of breast cancer, with risks of 0.8- and 0.3-fold associated with the heterozygote and homozygote genotypes, respectively. This intronic variant is considered to be in linkage disequilibrium with an exon 4 hinge region G to T Val660Leu polymorphism. We investigated whether the exon 4 PR polymorphism was associated with breast cancer in Australian women, using a population-based study of 1452 cases and 793 controls, half of whom were <40 years of age, and the other half were 40-59 years of age. There was no difference in genotype distribution between cases and controls (P = 0.5) and no evidence of risk associated with either the GT or TT genotypes compared with the common GG genotype. The adjusted odds ratios (ORs) were 0.97 (95% confidence interval, 0.79-1.19) and 1.52 (95% confidence interval, 0.87-2.66), respectively (P = 0.8 and 0.1), and the results were independent of age and family history of breast cancer. Our data provided no support for the previously reported decreased risk of breast cancer associated with the T allele, with 80% power to detect an OR of 0.8 or less for the heterozygote genotype and 90% power to detect an OR of 0.3 or less for the rare homozygous TT genotype. There was also no support for a greatly increased risk of breast cancer associated with the T allele, given that we had 80% power to detect risks of 1.3 and 2.0 associated with the GT and TT genotypes, respectively. We therefore conclude that this polymorphism is not associated with a markedly reduced or increased risk of breast cancer in Australian women <60 years of age. However, despite its considerable size, our study cannot exclude a small reduced or increased risk associated with the T allele, especially the rare TT genotype.

Adult↗