The molecular basis of breast cancer pathological phenotypes.

The histopathological evaluation of morphological features in breast tumours provides prognostic information to guide therapy. Adjunct molecular analyses provide further diagnostic, prognostic and predictive information. However, there is limited knowledge of the molecular basis of morphological phenotypes in invasive breast cancer. This study integrated genomic, transcriptomic and protein data to provide a comprehensive molecular profiling of morphological features in breast cancer. Fifteen pathologists assessed 850 invasive breast cancer cases from The Cancer Genome Atlas (TCGA). Morphological features were significantly associated with genomic alteration, DNA methylation subtype, PAM50 and microRNA subtypes, proliferation scores, gene expression and/or reverse-phase protein assay subtype. Marked nuclear pleomorphism, necrosis, inflammation and a high mitotic count were associated with the basal-like subtype, and had a similar molecular basis. Omics-based signatures were constructed to predict morphological features. The association of morphology transcriptome signatures with overall survival in oestrogen receptor (ER)-positive and ER-negative breast cancer was first assessed by use of the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset; signatures that remained prognostic in the METABRIC multivariate analysis were further evaluated in five additional datasets. The transcriptomic signature of poorly differentiated epithelial tubules was prognostic in ER-positive breast cancer. No signature was prognostic in ER-negative breast cancer. This study provided new insights into the molecular basis of breast cancer morphological phenotypes. The integration of morphological with molecular data has the potential to refine breast cancer classification, predict response to therapy, enhance our understanding of breast cancer biology, and improve clinical management. This work is publicly accessible at www.dx.ai/tcga_breast. Copyright © 2016 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.

Recent studies suggest that thousands of genes may contribute to breast cancer pathophysiologies when deregulated by genomic or epigenomic events. Here, we describe a model "system" to appraise the functional contributions of these genes to breast cancer subsets. In general, the recurrent genomic and transcriptional characteristics of 51 breast cancer cell lines mirror those of 145 primary breast tumors, although some significant differences are documented. The cell lines that comprise the system also exhibit the substantial genomic, transcriptional, and biological heterogeneity found in primary tumors. We show, using Trastuzumab (Herceptin) monotherapy as an example, that the system can be used to identify molecular features that predict or indicate response to targeted therapies or other physiological perturbations.

Genomic and transcriptional aberrations linked to breast cancer pathophysiologies.

This study explores the roles of genome copy number abnormalities (CNAs) in breast cancer pathophysiology by identifying associations between recurrent CNAs, gene expression, and clinical outcome in a set of aggressively treated early-stage breast tumors. It shows that the recurrent CNAs differ between tumor subtypes defined by expression pattern and that stratification of patients according to outcome can be improved by measuring both expression and copy number, especially high-level amplification. Sixty-six genes deregulated by the high-level amplifications are potential therapeutic targets. Nine of these (FGFR1, IKBKB, ERBB2, PROCC, ADAM9, FNTA, ACACA, PNMT, and NR1D1) are considered druggable. Low-level CNAs appear to contribute to cancer progression by altering RNA and cellular metabolism.

Von Hippel-Lindau (VHL) inactivation in sporadic clear cell renal cancer: associations with germline VHL polymorphisms and etiologic risk factors.

Renal tumor heterogeneity studies have utilized the von Hippel-Lindau VHL gene to classify disease into molecularly defined subtypes to examine associations with etiologic risk factors and prognosis. The aim of this study was to provide a comprehensive analysis of VHL inactivation in clear cell renal tumors (ccRCC) and to evaluate relationships between VHL inactivation subgroups with renal cancer risk factors and VHL germline single nucleotide polymorphisms (SNPs). VHL genetic and epigenetic inactivation was examined among 507 sporadic RCC/470 ccRCC cases using endonuclease scanning and using bisulfite treatment and Sanger sequencing across 11 CpG sites within the VHL promoter. Case-only multivariate analyses were conducted to identify associations between alteration subtypes and risk factors. VHL inactivation, either through sequence alterations or promoter methylation in tumor DNA, was observed among 86.6% of ccRCC cases. Germline VHL SNPs and a haplotype were associated with promoter hypermethylation in tumor tissue (OR = 6.10; 95% CI: 2.28-16.35, p = 3.76E-4, p-global = 8E-5). Risk of having genetic VHL inactivation was inversely associated with smoking due to a higher proportion of wild-type ccRCC tumors [former: OR = 0.70 (0.20-1.31) and current: OR = 0.56 (0.32-0.99); P-trend = 0.04]. Alteration prevalence did not differ by histopathologic characteristics or occupational exposure to trichloroethylene. ccRCC cases with particular VHL germline polymorphisms were more likely to have VHL inactivation through promoter hypermethylation than through sequence alterations in tumor DNA, suggesting that the presence of these SNPs may represent an example of facilitated epigenetic variation (an inherited propensity towards epigenetic variation) in renal tissue. A proportion of tumors from current smokers lacked VHL alterations and may represent a biologically distinct clinical entity from inactivated cases.

FOXP3-positive regulatory T lymphocytes and epithelial FOXP3 expression in synchronous normal, ductal carcinoma in situ, and invasive cancer of the breast.

FOXP3-expressing T regulatory lymphocytes (Tregs) have been described as putative mediators of immune tolerance, and thus facilitators of tumor growth. When found in association with various malignancies, Tregs are generally markers of poor clinical outcome. However, it is unknown whether they are also associated with cancer progression. We evaluated quantitative FOXP3 expression in lymphocytes as well as in epithelial cells in a set of thirty-two breast tumors with synchronous normal epithelium, ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC) components. Tumors were stained for FOXP3 and CD3 expression and Tregs quantified by determining the ratio of colocalized FOXP3 and CD3 relative to 1) total CD3-expressing lymphocytes and 2) to FOXP3-expressing epithelial cells. The median proportion of FOXP3-expressing CD3 cells significantly increased with malignant progression from normal to DCIS to IDC components (0.005, 0.019 and 0.030, respectively; p ≤ 0.0001 for normal vs. IDC and p = 0.004 for DCIS vs. IDC). The median intensity of epithelial FOXP3 expression was also increased with invasive progression and most markedly augmented between normal and DCIS components (0.130 vs. 0.175, p ≤ 0.0001). Both Treg infiltration and epithelial FOXP3 expression were higher in grade 3 vs. grade 1 tumors (p = 0.014 for Tregs, p = 0.038 for epithelial FOXP3), but did not vary significantly with hormone receptor status, size of invasive tumor, lymph node status, or disease stage. Notably, Treg infiltration significantly correlated with epithelial up-regulation of FOXP3 expression (p = 0.013 for normal, p = 0.001 for IDC). These findings implicate both Treg infiltration and up-regulated epithelial FOXP3 expression in breast cancer progression.

Protein acetylation and histone deacetylase expression associated with malignant breast cancer progression.

PURPOSE: Excess histone deacetylase (HDAC) activity can induce hypoacetylation of histone and nonhistone protein substrates, altering gene expression patterns and cell behavior potentially associated with malignant transformation. However, HDAC expression and protein acetylation have not been studied in the context of breast cancer progression. EXPERIMENTAL DESIGN: We assessed expression levels of acetylated histone H4 (ac-H4), ac-H4K12, ac-tubulin, HDAC1, HDAC2, and HDAC6 in 22 reduction mammoplasties and in 58 specimens with synchronous normal epithelium, ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC) components. Differences among groups were tested for significance using nonparametric tests. RESULTS: From normal epithelium to DCIS, there was a marked reduction in histone acetylation (P < 0.0001). Most cases showed similar levels of acetylation in DCIS and IDC, although some showed further reduction of ac-H4 and ac-H4K12 from DCIS to IDC. Expression of HDAC1, HDAC2, and HDAC6 was also significantly reduced but by a smaller magnitude. Greater reductions of H4 acetylation and HDAC1 levels were observed from normal to DCIS in estrogen receptor-negative compared with estrogen receptor-positive, and in high-grade compared with non-high-grade tumors. CONCLUSION: Overall, there was a global pattern of hypoacetylation associated with progression from normal to DCIS to IDC. These findings suggest that the reversal of this hypoacetylation in DCIS and IDC could be an early measure of HDAC inhibitor activity.

Pathologic and biologic response to preoperative endocrine therapy in patients with ER-positive ductal carcinoma in situ.

BACKGROUND: Endocrine therapy is commonly recommended in the adjuvant setting for patients as treatment for ductal carcinoma in situ (DCIS). However, it is unknown whether a neoadjuvant (preoperative) anti-estrogen approach to DCIS results in any biological change. This study was undertaken to investigate the pathologic and biomarker changes in DCIS following neoadjuvant endocrine therapy compared to a group of patients who did not undergo preoperative anti-estrogenic treatment to determine whether such treatment results in detectable histologic alterations. METHODS: Patients (n = 23) diagnosed with ER-positive pure DCIS by stereotactic core biopsy were enrolled in a trial of neoadjuvant anti-estrogen therapy followed by definitive excision. Patients on hormone replacement therapy, with palpable masses, or with histologic or clinical suspicion of invasion were excluded. Premenopausal women were treated with tamoxifen and postmenopausal women were treated with letrozole. Pathologic markers of proliferation, inflammation, and apoptosis were evaluated at baseline and at three months.Biomarker changes were compared to a cohort of patients who had not received preoperative treatment. RESULTS: Median age of the cohort was 53 years (range 38-78); 14 were premenopausal. Following treatment, predominant morphologic changes included increased multinucleated histiocytes and degenerated cells, decreased duct extension, and prominent periductal fibrosis. Two postmenopausal patients had ADH only with no residual DCIS at excision. Postmenopausal women on letrozole had significant reduction of PR, and Ki67 as well as increase in CD68-positive cells. For premenopausal women on tamoxifen treatment, the only significant change was increase in CD68. No change in cleaved caspase 3 was found. Two patients had invasive cancer at surgery. CONCLUSION: Preoperative therapy for DCIS is associated with significant pathologic alterations. These changes may be clinically significant. Further work is needed to identify which women may be the best candidates for such treatment for DCIS, and whether best responders may safely avoid surgical intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT00290745.

Improved identification of von Hippel-Lindau gene alterations in clear cell renal tumors.

PURPOSE: To provide a comprehensive, thorough analysis of somatic mutation and promoter hypermethylation of the von Hippel-Lindau (VHL) gene in the cancer genome, unique to clear cell renal cancer (ccRCC). Identify relationships between the prevalence of VHL gene alterations and alteration subtypes with patient and tumor characteristics. EXPERIMENTAL DESIGN: As part of a large kidney cancer case-control study conducted in Central Europe, we analyzed VHL mutations and promoter methylation in 205 well-characterized, histologically confirmed patient tumor biopsies using a combination of sensitive, high-throughput methods (endonuclease scanning and Sanger sequencing) and analysis of 11 CpG sites in the VHL promoter. RESULTS: We identified mutations in 82.4% of cases, the highest VHL gene mutation prevalence reported to date. Analysis of 11 VHL promoter CpG sites revealed that 8.3% of tumors were hypermethylated and all were mutation negative. In total, 91% of ccRCCs exhibited alteration of the gene through genetic or epigenetic mechanisms. Analysis of patient and tumor characteristics revealed that certain mutation subtypes were significantly associated with Fuhrman nuclear grade, metastasis, node positivity, and self-reported family history of RCC. CONCLUSION: Detection of VHL gene alterations using these accurate, sensitive, and practical methods provides evidence that the vast majority of histologically confirmed ccRCC tumors possess genetic or epigenetic alteration of the VHL gene and support the hypothesis that VHL alteration is an early event in ccRCC carcinogenesis. These findings also indicate that VHL molecular subtypes can provide a sensitive marker of tumor heterogeneity among histologically similar ccRCC cases for etiologic, prognostic, and translational studies.

von Hippel-Lindau gene status and response to vascular endothelial growth factor targeted therapy for metastatic clear cell renal cell carcinoma.

PURPOSE: The von Hippel-Lindau (VHL) gene is often inactivated (by mutation or promoter hypermethylation) in renal cell carcinoma but the relation to therapeutic outcome is unclear. MATERIALS AND METHODS: Patients with metastatic clear cell renal cell carcinoma with available baseline tumor samples who received vascular endothelial growth factor targeted therapy were included in analysis. Patient characteristics, VHL gene status and clinical outcome were documented. Our primary end point was to test for response rate in relation to VHL inactivation. Progression-free survival and overall survival in relation to VHL status were investigated as secondary end points. RESULTS: A total of 123 patients were evaluable. Response rate, median progression-free survival and median overall survival were 37% (95% CI 28-46), 10.8 (95% CI 7.7-14.8) and 29.8 (CI not estimable) months, respectively. Patients with VHL inactivation had a response rate of 41% vs 31% for those with wild-type VHL (p = 0.34). Patients with loss of function mutations (frameshift, nonsense, splice and in-frame deletions/insertions) had a 52% response rate vs 31% with wild-type VHL (p = 0.04). On multivariate analysis the presence of a loss of function mutation remained an independent prognostic factor associated with improved response. Progression-free survival and overall survival were not significantly different based on VHL status. CONCLUSIONS: To our knowledge this is the largest analysis investigating the impact of VHL inactivation on the outcome of vascular endothelial growth factor targeted agents in metastatic renal cell carcinoma. We did not find a statistically significant increase in response to vascular endothelial growth factor targeted agents in patients with VHL inactivation. Loss of function mutations identified a population of patients with a greater response. Investigation of downstream markers is under way.

Identification of a robust gene signature that predicts breast cancer outcome in independent data sets.

BACKGROUND: Breast cancer is a heterogeneous disease, presenting with a wide range of histologic, clinical, and genetic features. Microarray technology has shown promise in predicting outcome in these patients. METHODS: We profiled 162 breast tumors using expression microarrays to stratify tumors based on gene expression. A subset of 55 tumors with extensive follow-up was used to identify gene sets that predicted outcome. The predictive gene set was further tested in previously published data sets. RESULTS: We used different statistical methods to identify three gene sets associated with disease free survival. A fourth gene set, consisting of 21 genes in common to all three sets, also had the ability to predict patient outcome. To validate the predictive utility of this derived gene set, it was tested in two published data sets from other groups. This gene set resulted in significant separation of patients on the basis of survival in these data sets, correctly predicting outcome in 62-65% of patients. By comparing outcome prediction within subgroups based on ER status, grade, and nodal status, we found that our gene set was most effective in predicting outcome in ER positive and node negative tumors. CONCLUSION: This robust gene selection with extensive validation has identified a predictive gene set that may have clinical utility for outcome prediction in breast cancer patients.

Chromosomal instability in microsatellite-unstable and stable colon cancer.

PURPOSE: The genomic instability in colon cancer can be divided into at least two major types, microsatellite instability (MSI) or chromosomal instability (CIN). Although initially felt to be mutually exclusive, recent evidence suggests that there may be overlap between the two. The aim of this study was to identify chromosomal alterations at high resolution in sporadic colon cancers with high-level microsatellite instability (MSI-H) and to compare them to those present in a set of matched microsatellite stable (MSS) tumors. EXPERIMENTAL DESIGN: Array-based comparative genomic hybridization was used to analyze a set of 23 sporadic MSI-H and 23 MSS colon cancers matched for location, gender, stage, and age. The arrays consisted of 2,464 bacterial artificial chromosome clones. RESULTS: MSI and MSS colon cancers differed significantly with respect to frequency and type of chromosomal alterations. The median fraction of genome altered was lower among MSI-H tumors than MSS tumors (2.8% versus 30.7%, P=0.00006). However, the MSI-H tumors displayed a range of genomic alterations, from the absence of detectable alterations to extensive alterations. Frequent alterations in MSI-H tumors included gains of chromosomes 8, 12, and 13, and loss of 15q14. In contrast, the most frequent alterations in MSS tumors were gains of 7, 13, 8q, and 20, and losses of 8p, 17p, and 18. A small, previously uncharacterized, genomic deletion on 16p13.2, found in 35% of MSI-H and 21% of MSS tumors, was confirmed by fluorescence in situ hybridization. CONCLUSION: MSI and CIN are not mutually exclusive forms of genomic instability in sporadic colon cancer, with MSI tumors also showing varying degrees of CIN.

Prognostic value of PAI1 in invasive breast cancer: evidence that tumor-specific factors are more important than genetic variation in regulating PAI1 expression.

Plasminogen activator inhibitor-1 (PAI1) can promote cancer progression, and its protein expression in tumors is an independent indicator of poor prognosis in many forms of cancer. Here, we show that high PAI1 mRNA levels also predict for shorter overall survival in two independent breast cancer data sets, highlighting the importance of its transcriptional regulation. The -675insG (4G/5G) single-nucleotide polymorphism in the PAI1 gene promoter has been shown to influence PAI1 transcription, with the 4G allele eliciting higher reporter gene expression in vitro and higher levels of circulating PAI1 in vivo. Nevertheless, its genotypic distribution in 2,539 British women with invasive breast cancer was virtually identical to that seen in 1,832 matched controls (P = 0.72), and annual mortality rates for 4G4G, 4G5G, and 5G5G cases were 2.6%, 2.8%, and 3.1% per year, respectively (P = 0.10). Thus, there was no association with breast cancer incidence or outcome, and in a separate set of breast cancers, the 4G/5G single-nucleotide polymorphism showed no association with PAI1 mRNA expression (P = 0.85). By contrast, connective tissue growth factor (CTGF), which can regulate PAI1 expression in culture, was associated with PAI1 expression in three independent cohorts (P << 0.0001). In addition, PAI1 gene copy number differences in the tumors were correlated with PAI1 mRNA expression (P = 0.0005) and seemed to affect expression independently of CTGF. Thus, local factors, such as CTGF and genomic amplification, seem to be more important than germ line genetic variation in influencing PAI1 expression and its untoward effects in breast cancer.

Evaluation of Ki67, p53 and angiogenesis in patients enrolled in a randomized study of neoadjuvant chemotherapy with or without cystectomy: a Southwest Oncology Group Study.

In this prospective biomarker study, we evaluated the prognostic significance of Ki67, p53 and angiogenesis in patients with locally advanced bladder cancer. The patients were volunteers from a Southwest Oncology Group trial of locally advanced bladder cancer who were randomized to treatment with neoadjuvant chemotherapy plus cystectomy or cystectomy alone. Tissue specimens were obtained prior to neoadjuvant chemotherapy from 42 patients randomized to receive the combination-treatment arm and 52 randomized to cystectomy alone. The statistical power of the study was quite limited by the small sample size. The biomarkers were assayed by immunohistochemistry. Angiogenesis was determined using anti-CD34 immunostaining. Patients whose tumors had increased Ki67 expression had better progression-free survival that was marginally significant, p=0.063. The median survival in those with higher Ki67 expression was 73 months, and in those with lower expression was 38 months. However, this did not achieve statistical significance, p=0.25. There was a suggestion of worse survival among patients whose tumors exhibited altered p53 staining [hazard ratio (HR) = 1.48; p=0.15], but there was no difference in progression-free survival (HR=1.02; p=0.93). The enumeration of tumor microvessels did not provide prognostic information.

Bladder cancer stage and outcome by array-based comparative genomic hybridization.

PURPOSE: Bladder carcinogenesis is believed to follow alternative pathways of disease progression driven by an accumulation of genetic alterations. The purpose of this study was to evaluate associations between measures of genomic instability and bladder cancer clinical phenotype. EXPERIMENTAL DESIGN: Genome-wide copy number profiles were obtained for 98 bladder tumors of diverse stages (29 pT(a), 14 pT1, 55 pT(2-4)) and grades (21 low-grade and 8 high-grade superficial tumors) by array-based comparative genomic hybridization (CGH). Each array contained 2,464 bacterial artificial chromosome and P1 clones, providing an average resolution of 1.5 Mb across the genome. A total of 54 muscle-invasive cases had follow-up information available. Overall outcome analysis was done for patients with muscle-invasive tumors having "good" (alive >2 years) versus "bad" (dead in <2 years) prognosis. RESULTS: Array CGH analysis showed significant increases in copy number alterations and genomic instability with increasing stage and with outcome. The fraction of genome altered (FGA) was significantly different between tumors of different stages (pT(a) versus pT1, P = 0.0003; pT(a) versus pT(2-4), P = 0.02; and pT1 versus pT(2-4), P = 0.03). Individual clones that differed significantly between different tumor stages were identified after adjustment for multiple comparisons (false discovery rate < 0.05). For muscle-invasive tumors, the FGA was associated with patient outcome (bad versus good prognosis patients, P = 0.002) and was identified as the only independent predictor of overall outcome based on a multivariate Cox proportional hazards method. Unsupervised hierarchical clustering separated "good" and "bad" prognosis muscle-invasive tumors into clusters that showed significant association with FGA and survival (Kaplan-Meier, P = 0.019). Supervised tumor classification (prediction analysis for microarrays) had a 71% classification success rate based on 102 unique clones. CONCLUSIONS: Array-based CGH identified quantitative and qualitative differences in DNA copy number alterations at high resolution according to tumor stage and grade. Fraction genome altered was associated with worse outcome in muscle-invasive tumors, independent of other clinicopathologic parameters. Measures of genomic instability add independent power to outcome prediction of bladder tumors.

Bladder cancer outcome and subtype classification by gene expression.

Models of bladder tumor progression have suggested that genetic alterations may determine both phenotype and clinical course. We have applied expression microarray analysis to a divergent set of bladder tumors to further elucidate the course of disease progression and to classify tumors into more homogeneous and clinically relevant subgroups. cDNA microarrays containing 10,368 human gene elements were used to characterize the global gene expression patterns in 80 bladder tumors, 9 bladder cancer cell lines, and 3 normal bladder samples. Robust statistical approaches accounting for the multiple testing problem were used to identify differentially expressed genes. Unsupervised hierarchical clustering successfully separated the samples into two subgroups containing superficial (pT(a) and pT(1)) versus muscle-invasive (pT(2)-pT(4)) tumors. Supervised classification had a 90.5% success rate separating superficial from muscle-invasive tumors based on a limited subset of genes. Tumors could also be classified into transitional versus squamous subtypes (89% success rate) and good versus bad prognosis (78% success rate). The performance of our stage classifiers was confirmed in silico using data from an independent tumor set. Validation of differential expression was done using immunohistochemistry on tissue microarrays for cathepsin E, cyclin A2, and parathyroid hormone-related protein. Genes driving the separation between tumor subsets may prove to be important biomarkers for bladder cancer development and progression and eventually candidates for therapeutic targeting.

Fractional genomic alteration detected by array-based comparative genomic hybridization independently predicts survival after hepatic resection for metastatic colorectal cancer.

PURPOSE: Although liver resection is the primary curative therapy for patients with colorectal hepatic metastases, most patients have a recurrence. Identification of molecular markers that predict patients at highest risk for recurrence may help to target further therapy. EXPERIMENTAL DESIGN: Array-based comparative genomic hybridization was used to investigate the association of DNA copy number alterations with outcome in patients with colorectal liver metastasis resected with curative intent. DNA from 50 liver metastases was labeled and hybridized onto an array consisting of 2,463 bacterial artificial chromosome clones covering the entire genome. The total fraction of genome altered (FGA) in the metastases and the patient's clinical risk score (CRS) were calculated to identify independent prognostic factors for survival. RESULTS: An average of 30 +/- 14% of the genome was altered in the liver metastases (14% gained and 16% lost). As expected, a lower CRS was an independent predictor of overall survival (P = 0.03). In addition, a high FGA also was an independent predictor of survival (P = 0.01). The median survival time in patients with a low CRS (score 0-2) and a high (> or =20%) FGA was 38 months compared with 18 months in patients with a low CRS and a low FGA. Supervised analyses, using Prediction Analysis of Microarrays and Significance Analysis of Microarrays, identified a set of clones, predominantly located on chromosomes 7 and 20, which best predicted survival. CONCLUSIONS: Both FGA and CRS are independent predictors of survival in patients with resected hepatic colorectal cancer metastases. The greater the FGA, the more likely the patient is to survive.

Arsenic-related chromosomal alterations in bladder cancer.

BACKGROUND: Previous studies have demonstrated that ingestion of arsenic in drinking water is a strong risk factor for several forms of cancer, including bladder cancer. It is not known whether arsenic-related cancers are genetically similar to cancers in unexposed individuals or what mechanisms of carcinogenesis may underlie their formation. This study was designed to compare chromosomal alterations in bladder cancers of arsenic-exposed individuals to provide insight into the mechanism of how arsenic may induce or promote cancer. METHODS: A case-case study was conducted in Argentina and Chile examining chromosomal alterations in bladder tumor DNA in 123 patients who had been exposed to arsenic in their drinking water. Patients were placed into one of four arsenic exposure categories according to their average 5-year peak arsenic exposure. Patients were also classified as ever smokers or never smokers. Comparative genomic hybridization was used to identify chromosomal alterations throughout the genome. All statistical tests were two-sided. RESULTS: The total number of chromosomal alterations was higher in individuals exposed to higher arsenic levels (5.7 +/- 5.1, 5.6 +/- 5.1, 7.3 +/- 7.4, and 9.1 +/- 6.5 [mean +/- standard deviation] chromosomal alterations per tumor with increasing arsenic exposure; P(trend) =.02, adjusted for stage and grade). The trend was stronger in high-grade (G2-G3) tumors (6.3 +/- 5.5, 8.3 +/- 4.7, 10.3 +/- 7.8, and 10.5 +/- 6.4 alterations per tumor; P(trend) =.01) than it was in low-grade (G1) tumors (3.5 +/- 3.1, 1.1 +/- 1.1, 2.5 +/- 2.5, and 3.6 +/- 3.2 alterations per tumor; P(trend) =.79). The mean number of chromosomal alterations also increased with tumor stage and grade (P(trend)<.001) independently of arsenic exposure but was not associated with smoking history. Deletion of part or all of chromosome 17p (P(trend)<.001) showed the strongest association with arsenic exposure. CONCLUSIONS: Bladder tumors in patients with higher levels of arsenic exposure showed higher levels of chromosomal instability. Most of the chromosomal alterations associated with arsenic exposure were also associated with tumor stage and grade, raising the possibility that bladder tumors from arsenic-exposed patients may behave more aggressively than tumors from unexposed patients.

Array-based comparative genomic hybridization for the differential diagnosis of renal cell cancer.

Array-based comparative genomic hybridization (CGH) uses multiple genomic clones arrayed on a slide to detect relative copy number of tumor DNA sequences. Application of array CGH to tumor specimens makes genetic diagnosis of cancers possible and may help to differentiate relevant subsets of tumors, biologically and clinically, which would allow better prognostic and therapeutic decision making. In this study, we have used array-based CGH to detect DNA copy number alterations in distinct types of renal cell carcinomas for diagnostic purposes. We were able to correctly diagnose 33 of 34 malignant tumors by automated computational means and to group together eight benign neoplasms and normal kidney samples. These results indicate that array-based CGH is capable of diagnosing the vast majority of renal cell carcinomas based on their genetic profiles.

Allelic loss of p53 gene is associated with genesis and maintenance, but not invasion, of mouse carcinoma in situ of the bladder.

Carcinoma in situ (CIS) of the bladder has recently been proposed to be a heterogeneous group of diseases with varied histogenesis and biological behavior. In this study, we describe the sequential steps of CIS development and progression in a transgenic mouse model expressing low levels of the SV40 large T antigen. We found that CIS in transgenic mice arose from urothelial dysplasia, that CIS could persist for an extended period of time without invasion, and that the majority of CIS eventually evolved into high-grade, superficial, papillary tumors before a small fraction of them advanced to invasion/metastasis. A genome-wide search of chromosomal imbalances by comparative genomic hybridization revealed that 9 of 11 (82%) of CIS had losses on chromosome 11. Southern blotting demonstrated the allelic loss of the p53 gene, which resides on mouse chromosome 11, in four comparative genomic hybridization-tested tumors and 10 of 11 (91%) additional CIS examined. Consistent with the reduced p53 gene dosage because of the allelic loss and the functional inactivation of p53 protein of the remaining allele by SV40T antigen, there was a dramatic decrease in CIS of Mdm-2, a major p53 target. In contrast, the level of p21, another p53 target, was largely unaltered, suggesting that p21 expression can be regulated by p53-independent mechanisms. These results delineate the early stages of bladder tumorigenesis and suggest that the loss of a p53-bearing chromosome is an early event in bladder tumorigenesis and is crucial for the genesis and the maintenance, but not the progression, of bladder CIS. On the basis of our current and previous transgenic studies, we have proposed an integrated pathway progression model of bladder cancer.

Differentiation of lobular versus ductal breast carcinomas by expression microarray analysis.

Invasive lobular and ductal breast tumors have distinct histologies and clinical presentation. Other than altered expression of E-cadherin, little is known about the underlying biology that distinguishes the tumor subtypes. We used cDNA microarrays to identify genes differentially expressed between lobular and ductal tumors. Unsupervised clustering of tumors failed to distinguish between the two subtypes. Prediction analysis for microarrays (PAM) was able to predict tumor type with an accuracy of 93.7%. Genes that were significantly differentially expressed between the two groups were identified by MaxT permutation analysis using t tests (20 cDNA clones and 10 unique genes), significance analysis for microarrays (33 cDNA clones and 15 genes, at an estimated false discovery rate of 2%), and PAM (31 cDNAs and 15 genes). There were 8 genes identified by all three of these related methods (E-cadherin, survivin, cathepsin B, TPI1, SPRY1, SCYA14, TFAP2B, and thrombospondin 4), and an additional 3 that were identified by significance analysis for microarrays and PAM (osteopontin, HLA-G, and CHC1). To validate the differential expression of these genes, 7 of them were tested by real-time quantitative PCR, which verified that they were differentially expressed in lobular versus ductal tumors. In conclusion, specific changes in gene expression distinguish lobular from ductal breast carcinomas. These genes may be important in understanding the basis of phenotypic differences among breast cancers.