Identification of androgen-regulated genes in the prostate cancer cell line LNCaP by serial analysis of gene expression and proteomic analysis.

A common therapy for nonorgan-confined prostate cancer involves androgen deprivation. To develop a better understanding of the effect of androgen on prostatic cells, we have analyzed gene expression changes induced by dihydrotestosterone (DHT) in the androgen responsive prostate cancer line LNCaP, at both RNA and protein levels. Changes at the RNA level induced by DHT were determined by means of serial analysis of gene expression (SAGE), and protein profiling was done by means of quantitative two-dimensional polyacrylamide gel electrophoresis. Among 123,371 transcripts analyzed, a total of 28,844 distinct SAGE tags were identified representing 16,570 genes. Some 351 genes were significantly affected by DHT treatment at the RNA level (p < 0.05), of which 147 were induced and 204 repressed by androgen. In two independent experiments, the integrated intensity of 32 protein spots increased and 12 decreased at least two-fold in response to androgen, out of a total of 1031 protein spots analyzed. The change in intensity for most of the affected proteins identified could not be predicted based on the level of their corresponding RNA. Our study provides a global assessment of genes regulated by DHT and suggests a need for profiling at both RNA and protein levels for a comprehensive evaluation of patterns of gene expression.

Identification of differentially expressed genes by serial analysis of gene expression in human prostate cancer.

Prostate cancer is the leading cause of cancer death in American males. To better understand the genetic bases of this disease, we have generated a comprehensive molecular profile of human prostate. The gene expression pattern in normal and prostate cancer tissues was analyzed by serial analysis of gene expression (SAGE). A total of 133,217 transcripts were analyzed, and 35,185 distinct SAGE tags were identified representing 19,287 genes. Comparison of the transcripts in normal and tumor tissue revealed 156 differentially expressed genes (P < 0.05), of which 88 genes were up-regulated and 68 genes were down-regulated in the tumor tissue. Based on SAGE data, we estimate that the transcriptome for human prostate is approximately 37,000. Several differentially expressed genes identified by SAGE were selected for confirmation using immunohistochemistry. Some genes (e.g., E2F4) were overexpressed in tumor epithelial cells and some (e.g., Daxx) were increased in tumor stroma. Further characterization of the role of E2F4 and Daxx as well as other differentially expressed genes may provide useful insights into the mechanism of prostate cancer development.

The prevalence of BRCA1 mutations in Chinese patients with early onset breast cancer and affected relatives.

The purpose of this study was to determine the prevalence of BRCA1 mutations in Chinese breast cancer patients in Singapore. BRCA1 analysis was conducted in consecutive patients with breast cancer before the age of 40 years (76 women), or whose relatives had breast or ovarian cancer (16 women). Ten patients had both early onset breast cancer and affected relatives. Genomic DNA from peripheral mononuclear blood cells was studied by using the protein transcription-translation assay (exon 11) and single-strand conformational polymorphism, with subsequent DNA sequencing. All six disease-causing mutations occurred in women under 40 years (8.6%) with three occurring in patients under 35 years (three out of 22 patients, 13.6%). Mis-sense mutations of unknown significance were found in three patients. Two of the ten women with affected relatives under 40 years had BRCA1 mutations. The prevalence of BRCA1 mutations in Chinese patients with early onset breast cancer is similar to that observed in Caucasian women. Most Chinese patients with affected relatives were not carriers of BRCA1 mutations.

Distribution of Candida albicans genotypes among family members.

Thirty-three families (71 subjects) were screened for the presence of Candida albicans in mouthwash or stool specimens; 12 families (28 subjects) were culture-positive for this yeast. An enrichment procedure provided a twofold increase in the recovery of C. albicans from mouthwash specimens. Nine of the twelve culture-positive families had two positive members each, two families had three positive members each, and one family had four positive members. Genetic profiles were obtained by three methods: pulsed-field gel electrophoresis; restriction endonuclease analysis, and random amplification of polymorphic DNA analysis. DNA fingerprinting of C. albicans isolated from one body site three consecutive times revealed that each of the 12 families carried a distinct genotype. No two families shared the same strain, and two or more members of a family commonly shared the same strain. Intrafamily genotypic identity (i.e., each member within the family harbored the same strain) was demonstrated in six families. Genotypes of isolates from husband and wife differed from one another in five families. All three methods were satisfactory in determining genotypes; however, we concluded that restriction endonuclease analysis provided adequate resolving power.

Comparative analysis of genetic variability among Candida albicans isolates from different geographic locales by three genotypic methods.

The objective of the present study was to conduct a comparative genotypic analysis of Candida albicans isolates from the United States, Europe, and Southeast Asia to determine whether differences between isolates might be associated with geographic locations. The genotypes of 86 unrelated isolates of C. albicans (from the United States and Europe) and 26 isolates from Singapore were examined by three DNA typing methods. Computer-assisted methods were used to analyze the gel patterns for all isolates. A dendrogram based on the overall similarity of the patterns obtained by restriction endonuclease analysis (REA) with EcoRI clustered the U.S. and European isolates into two major groups (groups A and B). The Singaporean isolates demonstrated unique REA profiles, with nine isolates having both or neither of the REA-characteristic 3.7- and 4.2-kb bands present in groups A and B. By REA profiles, the Singaporean isolates were related to each other with similarity values (S(AB)s) of > 0.80, but only one isolate mixed with the U.S. and European isolates at this S(AB) (an arbitrary threshold for genetic similarity). Randomly amplified polymorphic DNA (RAPD) analysis generated DNA profiles that clustered the C. albicans isolates into approximately the same number of distinct typing groups as REA. However, isolates identical to each other by REA were generally different from each other by RAPD analysis. In a composite dendrogram prepared from the results obtained by RAPD analysis, the isolates from the United States and Europe clustered in major groups with S(AB)s of > 0.85, while Singaporean isolates connected to these clusters at S(AB)s of > or = 0.75. Pulsed-field gel electrophoresis was less discriminatory, discerning about one-third as many distinct subtypes as REA or RAPD analysis; the Singaporean isolates were distributed randomly with the U.S. and European isolates. These results suggest that a high degree of genetic diversity exists between C. albicans isolates from Southeast Asia and those from the United States and Europe.

Evaluation of an optimized system for random amplified polymorphic DNA (RAPD)-analysis for genotypic mapping of Candida albicans strains.

A simple, rapid, and cost-effective protocol has been developed for a PCR-based molecular typing method for Candida albicans, which includes the use of a commercially available medium (Chelex 100 Resin) for DNA extraction and a single set of two arbitrarily chosen oligonucleotide (10 nt length) primers for random amplified DNA(RAPD)-analysis. The optimized parameters for the amplification components and conditions for the selected primer combination have been determined to avoid artifactual variation (absence/presence of bands) in RAPD banding patterns in repeated assays. The optimized RAPD-assay consistently generated DNA-patterns of 33 genetically unrelated C. albicans isolates that contained ten polymorphic markers in the non-artifactual banding patterns. The intralaboratory reproducibility of RAPD patterns was efficient and consistent provided the optimized amplification conditions were rigidly controlled. Interlaboratory reproducibility was tempered by slight variations in time of cyclers of different thermocyclers. In comparison, the RAPD assay was almost equal to restriction enzyme analysis (REA) (Eco RI digested chromosomal DNA) in discrimination, and the RAPD assay was able to group isolates of C. albicans that were untypable by REA. The protocol outlined for an optimized RAPD-assay of C. albicans has the potential to be widely useful epidemiological screening tool that can be easily applied in the clinical laboratory.

Comparative study of the GenePath group 4 reagent system and other CHEF systems for karyotype analysis of Candida spp.

The commercial GenePath Group 4 Reagent Candida kit (BioRad), designed to simplify the electrophoretic karyotyping of Candida spp. was evaluated against several other established contour-clamped homogeneous electric field (CHEF) systems for Candida. This comparison allowed assessment of both the GenePath system and the other CHEF systems regarding the sources of technical variability of the assays and variation in karyotypic analysis. The GenePath system appeared to be a simple, rapid and reliable tool for karyotyping of Candida spp. with a discriminatory power comparable with established CHEF systems. The evaluation showed that the variability of the CHEF systems for subtyping of Candida is largely a function of technical variabilities in the assay system (reagents, sample preparation, running conditions, and test performance), and of analytical variabilities due to imprecision or observers bias. Lack of standardization of these factors may contribute to variability among investigators and have an impact on the ultimate conclusions of an epidemiological study using CHEF methods.