Genome Copy Number Variation Analysis Research Articles

Clinicopathological and genomic copy number variation analysis in nodular hidradenoma and hidradenocarcinoma with focus on prognostically important features

Nodular hidradenoma is a cutaneous adnexal tumor of sweat gland origin, characterized by its diverse but overlapping histomorphologic features with other skin tumors. In addition, distinction of benign hidradenoma and its malignant counterpart hidradenocarcinoma can be challenging, especially in prognostic prediction. We retrospectively reviewed pathological features of 29 cases, including benign nodular hidradenoma (n=17) and hidradenocarcinoma (n=12), with clinical follow-up ranging from 18 to 216 months. Genomic copy number variation (CNV) was studied in selected cases (n=18) by single nucleotide polymorphismmicroarray. None of the benign hidradenomas (0/17) or low-grade hidradenocarcinomas (0/6) had recurrence or metastasis after complete excision, whereas all 6 high-grade hidradenocarcinomas (6/6) showed locally destructive disease, recurrence, or local metastases. In benign hidradenomas, CNV abnormality was absent in all clear cell hidradenomas (0/5) but was detected in a considerable portion of poroid hidradenoma (3/5), with number of abnormalities ranging 2, 4, and 9. In malignant cases, regardless of morphological classification, both low-grade hidradenocarcinomas demonstrated limited CNV abnormalities in 2 areas (2/2), whereas all high-grade hidradenocarcinomas contained 8 or more CNV abnormalities (6/6). No disease-associated death was recorded in the cohort except one case was lost to follow-up after the development of metastatic disease. Overall, the findings support that genomic CNV abnormalities may serve as a sensitivebut less specific tool in detecting malignancy in these tumors, and potentially have a role in predicting clinical behavior particularly in the tumors of nonporoid morphology.

Clinicopathological and Genomic Copy Number Variation Analysis in Nodular Hidradenoma and Hidradenocarcinoma with Focus on Prognostically Important Features

Clinicopathological and Genomic Copy Number Variation Analysis in Nodular Hidradenoma and Hidradenocarcinoma with Focus on Prognostically Important Features

NIMG-09. NONINVASIVE PERFUSION IMAGING BIOMARKER OF MALIGNANT GENOTYPE IN ISOCITRATE DEHYDROGENASE MUTANT GLIOMAS

Abstract OBJECTIVE A small subset of IDHmut astrocytomas behave aggressively, similarly to IDHwt glioblastoma. Genomic correlates of poor prognosis IDHmut astrocytomas include global relative DNA hypomethylation, MYCN amplification copy number variation (CNV) abundance, and CDKN2A/B homozygous deletion. We sought to identify a non-invasive imaging correlate of poor prognosis IDHmut astrocytomas. METHODS 30 IDHmut astrocytomas (NYU=18, TCGA=12) were included. Relative cerebral blood volume was obtained from 4 regions of interest within the highest perfusion areas. Genomic CNV analysis and CDKN2A/B copy number status was obtained using Illumina Infinium 450k or Illumina EPIC methylation array data. Associations between rCBV, survival, and genomic alterations were evaluated. An additional 22 IDHmut astrocytomas were obtained from another institution for validation. RESULTS CNV stable (CNV-S, n=14) astrocytomas demonstrated significantly lower mean rCBV than and CNV unstable (CNV-U, n=16) (P=0.0.0155) ones. IDHmut astrocytomas with CDKN2A/B homozygous deletion (n=7) had higher rCBV (3.9 ± 2.3, mean ± SD) compared to those without this alteration (n=22; 1.8 ± 1.9, mean ± SD; P=0.0489). In the validation set, there was no significant evidence in rCBV between CNV-S and CNV-U tumors (P=0.3976). These results were sensitive to a single outlier in the CNV-S group. Excluding this case with rCBV=7.15, the CNV-S tumors demonstrated significantly lower mean rCBV (P=0.0279). IDHmut astrocytomas with CDKN2A/B homozygous deletion (n=9) tended to have higher rCBV (4.2 ± 1.8, mean ± SD) compared to those without this alteration (n=16; 2.5 ± 1.5, mean ± SD; P=0.0757, t-test). This led to significant discrimination (P=0.0328, Wilcoxon). CONCLUSION Our study is the first to identify a non-invasive imaging biomarker for prognostic genomic alterations in IDHmut astrocytomas. Greater CNV abundance and/or CDKN2A/B homozygous deletion have higher rCBV and worse prognosis. Our methods can be applied to standard clinical practice and may enhance informed treatment decisions in the preoperative and immediate postoperative settings.

Genomic copy number variation analysis in multiple system atrophy

Genomic variation includes single-nucleotide variants, small insertions or deletions (indels), and copy number variants (CNVs). CNVs affect gene expression by altering the genome structure and transposable elements within a region. CNVs are greater than 1 kb in size; hence, CNVs can produce more variation than can individual single-nucleotide variations that are detected by next-generation sequencing. Multiple system atrophy (MSA) is an α-synucleinopathy adult-onset disorder. Pathologically, it is characterized by insoluble aggregation of filamentous α-synuclein in brain oligodendrocytes. Generally, MSA is sporadic, although there are rare cases of familial MSA. In addition, the frequencies of the clinical phenotypes differ considerably among countries. Reports indicate that genetic factors play roles in the mechanisms involved in the pathology and onset of MSA. To evaluate the genetic background of this disorder, we attempted to determine whether there are differences in CNVs between patients with MSA and normal control subjects. We found that the number of CNVs on chromosomes 5, 22, and 4 was increased in MSA; 3 CNVs in non-coding regions were considered risk factors for MSA. Our results show that CNVs in non-coding regions influence the expression of genes through transcription-related mechanisms and potentially increase subsequent structural alterations of chromosomes. Therefore, these CNVs likely play roles in the molecular mechanisms underlying MSA.

A comprehensive genome-wide analysis of long noncoding RNA expression profile in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, especially in East Asia and China. Long noncoding RNAs (lncRNAs) are emerging as critical regulators that may be involved in the development and progression of cancers in humans. However, the contributions of lncRNAs to HCC development, metastasis, and recurrence remain largely unknown. In this study, we comprehensively investigated lncRNA expression profile in HCC and normal tissues using TCGA RNA sequencing data, one RNA sequencing dataset, and two microarray datasets from GEO. By analyzing these four datasets, we identified hundreds of expression‐dysregulated lncRNAs in HCC tissues compared with normal tissues. Genomic copy number variation analysis showed that many of those lncRNAs disorder are related to the copy number amplification or deletion. Moreover, several lncRNAs expression levels are associated with HCC patients' overall and recurrence‐free survival, such as RP1‐228H13.5, TMCC1‐AS1, LINC00205, and RP11‐307C12.11. Furthermore, we identified two lncRNAs termed PVT1 and SNHG7 that may be involved in HCC cells metastasis by comparing lncRNAs expression profiles between early recurrence HCC tissues with metastasis and late recurrence HCC tissues without metastasis. Finally, loss‐of‐function assays confirmed that knockdown of SNHG7 and PVT1 impaired HCC cells invasion. Taken together, these findings may provide a valuable resource for further identification of novel biomarkers and therapeutic targets for HCC patients.

Abstract 397: Whole genome copy number variation analysis using a SNP-focused targeted sequencing panel for tumor analysis

Abstract Accurate genome-wide copy number variation (CNV) analysis is critical for disease and cancer research. Current approaches for CNV analysis include fluorescence in situ hybridization (FISH), array comparative genomic hybridization (array CGH), and SNP arrays. Unfortunately, these methods are not sensitive enough for real world cancer samples because of tumor ploidy, purity and heterogeneity. NGS-based targeted sequencing is increasingly being used for CNV analysis due to throughput, coverage, cost, and sample input requirements. For CNV analysis, detection power is improved by combining both read depth and SNP allele frequency analysis, particularly for copy-neutral events such as loss of heterozygosity. A custom xGen Lockdown CNV backbone panel was developed for broad, uniform genome coverage and to enrich for population-based SNPs. We demonstrate use of the panel as an addition to the xGen Exome Research Panel and a custom cancer focused panel. Downstream analysis incorporates both read depth and observed minor allele frequencies to determine CNVs with enhanced sensitivity. To increase the resolution for large-scale alterations of chromosome 7, a hot-spot for disease-associated CNVs, probe density was increased 6 fold. A known standard, NA12878, was used to validate the panel’s ability to detect heterozygous SNPs with high confidence. In addition, mixtures of cancer cell lines from the Cancer Cell Line Encyclopedia (CCLE) were tested with varying levels of background copy-neutral genomic DNA. The sensitivity and specificity of the panel to detect CNV and LOH events with was assessed using deep exome and Affymetrix SNP array data. The ability to detect copy number alterations with high resolution and accuracy would be a valuable resource for disease and cancer research. Citation Format: Jiashi Wang, Kristina Giorda, Zhongwu Lai, Daniel Stetson, Mirna Jarosz. Whole genome copy number variation analysis using a SNP-focused targeted sequencing panel for tumor analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 397. doi:10.1158/1538-7445.AM2017-397

Function of cancer associated genes revealed by modern univariate and multivariate association tests.

Copy number variation (CNV) plays a role in pathogenesis of many human diseases, especially cancer. Several whole genome CNV association studies have been performed for the purpose of identifying cancer associated CNVs. Here we undertook a novel approach to whole genome CNV analysis, with the goal being identification of associations between CNV of different genes (CNV-CNV) across 60 human cancer cell lines. We hypothesize that these associations point to the roles of the associated genes in cancer, and can be indicators of their position in gene networks of cancer-driving processes. Recent studies show that gene associations are often non-linear and non-monotone. In order to obtain a more complete picture of all CNV associations, we performed omnibus univariate analysis by utilizing dCov, MIC, and HHG association tests, which are capable of detecting any type of association, including non-monotone relationships. For comparison we used Spearman and Pearson association tests, which detect only linear or monotone relationships. Application of dCov, MIC and HHG tests resulted in identification of twice as many associations compared to those found by Spearman and Pearson alone. Interestingly, most of the new associations were detected by the HHG test. Next, we utilized dCov's and HHG's ability to perform multivariate analysis. We tested for association between genes of unknown function and known cancer-related pathways. Our results indicate that multivariate analysis is much more effective than univariate analysis for the purpose of ascribing biological roles to genes of unknown function. We conclude that a combination of multivariate and univariate omnibus association tests can reveal significant information about gene networks of disease-driving processes. These methods can be applied to any large gene or pathway dataset, allowing more comprehensive analysis of biological processes.

De novo GLI3 mutation in esophageal atresia: Reproducing the phenotypic spectrum of Gli3 defects in murine models

Esophageal atresia is a common and life-threatening birth defect with a poorly understood etiology. In this study, we analyzed the sequence variants of coding regions for a set of esophageal atresia-related genes including MYCN, SOX2, CHD7, GLI3, FGFR2 and PTEN for mutations using PCR-based target enrichment and next-generation sequencing in 27 patients with esophageal atresia. Genomic copy number variation analysis was performed using Affymetrix SNP 6.0. We found a de novo heterozygous mutation in the N-terminal region of the GLI3 gene (c.332T>C, p.M111T) in a patient with esophageal atresia and hemivertebrae. The N-terminal region (amino acids 1–397) of GLI3 contains the repressor domain, which interacts with SKI family proteins. Using the co-immunoprecipitation assay, we found that interaction of GLI3 with the SKI family protein SKIL was significantly compromised by the p.M111T mutation of GLI3. Thus far, all the identified mutations mapped within the repressor domain of GLI3 were nonsense and frame-shift mutations. In this study, a missense mutation was initially detected in this region. Our finding is the first to link this GLI3 gene mutation with esophageal atresia in humans, which was previously suggested in an animal model.

Integrated Analysis of Copy Number Variation and Genome-Wide Expression Profiling in Colorectal Cancer Tissues

Integrative analyses of multiple genomic datasets for selected samples can provide better insight into the overall data and can enhance our knowledge of cancer. The objective of this study was to elucidate the association between copy number variation (CNV) and gene expression in colorectal cancer (CRC) samples and their corresponding non-cancerous tissues. Sixty-four paired CRC samples from the same patients were subjected to CNV profiling using the Illumina HumanOmni1-Quad assay, and validation was performed using multiplex ligation probe amplification method. Genome-wide expression profiling was performed on 15 paired samples from the same group of patients using the Affymetrix Human Gene 1.0 ST array. Significant genes obtained from both array results were then overlapped. To identify molecular pathways, the data were mapped to the KEGG database. Whole genome CNV analysis that compared primary tumor and non-cancerous epithelium revealed gains in 1638 genes and losses in 36 genes. Significant gains were mostly found in chromosome 20 at position 20q12 with a frequency of 45.31% in tumor samples. Examples of genes that were associated at this cytoband were PTPRT, EMILIN3 and CHD6. The highest number of losses was detected at chromosome 8, position 8p23.2 with 17.19% occurrence in all tumor samples. Among the genes found at this cytoband were CSMD1 and DLC1. Genome-wide expression profiling showed 709 genes to be up-regulated and 699 genes to be down-regulated in CRC compared to non-cancerous samples. Integration of these two datasets identified 56 overlapping genes, which were located in chromosomes 8, 20 and 22. MLPA confirmed that the CRC samples had the highest gains in chromosome 20 compared to the reference samples. Interpretation of the CNV data in the context of the transcriptome via integrative analyses may provide more in-depth knowledge of the genomic landscape of CRC.

Comparison between Aniridia with and without PAX6 Mutations: Clinical and Molecular Analysis in 14 Korean Patients with Aniridia

To describe clinical and molecular characteristics of Korean patients with aniridia and to compare the clinical phenotype between those having an identifiable PAX6 mutation and those not. Comparative case series. A total of 14 Korean patients from 10 families with aniridia. Complete ophthalmologic examinations were performed for all patients. PAX6 analysis included direct sequencing of all coding regions and multiplex ligation-dependent probe amplification (MLPA) to detect large deletions when the sequencing was negative. If the PAX6 analysis failed to reveal any identifiable mutations, genomic copy number variation analysis via array comparative genomic hybridization (CGH) and candidate gene PITX3 and FOXE3 sequencing were then performed. Severity of ocular abnormalities and genetic findings. Sequencing of PAX6 exhibited 5 different heterozygous mutations in 8 patients from 5 families; 2 (p.Ser43Phe, IVS8-9C>G) were novel, and 3 (p.Arg208Trp, p.Arg317X, and p.X423L) have been previously reported. Among the remaining 6 patients in whom the PAX6 sequencing was negative, MLPA identified large deletions in 2 sporadic patients. However, the array CGH and candidate gene sequencing found no genomic or genetic abnormalities. The mutation detection rate was therefore 70%. Patients harboring an identifiable mutation in PAX6 had either a severe or a mild variant phenotype depending on the type of mutations. Likewise, among patients without an identifiable PAX6 mutation, their phenotypes varied widely from severe to very mild. This study adds 2 novel PAX6 mutations to those previously reported, providing further evidence for genetic and phenotypic heterogeneity in aniridic ocular malformation. There was no difference in the clinical phenotype between patients with and without detectable mutations in the PAX6 gene. The wide variability of ocular phenotype regardless of the presence or absence of PAX6 mutations calls for a further appreciation of the complexity in the molecular diagnosis of aniridia and suggests that this ocular malformation may be better regarded as a group of heterogeneous disorders, rather than a single disease entity, associated with mutations in PAX6 and/or other genes located elsewhere in the human genome. The authors have no proprietary or commercial interest in any of the materials discussed in this article.

Complex Interstitial Deletions of 11q and Copy-Neutral Loss of Heterozygosity of 11q Are Detected by Whole Genome Copy Number Variation Analysis of Early-Intermediate Stage, High Risk Chronic Lymphocytic Leukemia Patients.

Abstract 1245Poster Board I-267 IntroductionChronic lymphocytic leukemia (CLL) patients with del(11q) by fluorescence in situ hybridization (FISH) have a poor prognosis. These patients often have younger age of onset, bulky lymphadenopathy, and short clinical response to treatment with purine analogues. Deletion of 11q in CLL is thought to involve loss-of-function of ataxia-telangiectasia mutated (ATM), a protein kinase central to DNA damage responses. As part of a larger study of early-intermediate stage, high risk CLL patients, we applied whole genome copy number variation (CNV) analysis to characterize the genomic alterations in CLL patients with and without del(11q) by FISH. Patients and MethodsWe studied 17 patients aged 29-67 with early-intermediate stage, untreated CLL who had high risk for disease progression based on evaluation of molecular and immunophenotypic markers. Of these patients, six had del(11q) by FISH analysis. No patients in this study had del(11q) as a sole FISH abnormality. CLL cells and normal cells were separated by magnetic bead selection from patient peripheral blood samples with absolute lymphocyte counts that ranged from 7.4 to 106 × 109/L. CNV analysis was performed on purified genomic DNA from the CLL cells and from normal cells for each patient in order to distinguish acquired CNVs in malignant cells from polymorphic CNVs in the human genome. We used the Illumina human660w-quad beadchip, a single nucleotide polymorphism (SNP)-based microarray for whole-genome genotyping and CNV analysis that contains more than 550,000 tag SNPs and approximately 100,000 additional markers that target regions of common CNV. CNV data was analyzed using CNV partition (Illumina Genome Studio software) and PennCNV. ResultsCNV analysis reveals hemizygous deletions of 11q in all 6 patients positive for del(11q) by FISH. The size of the deletion varies from ∼980 Kb to ∼44 Mb. All deletions include the region of the ATM gene at 11q22.3. No large homozygous deletions of 11q were detected. The three largest interstitial deletions (∼39 Mb, ∼41 Mb, ∼44 Mb) span 11q14.1-q23.3. A slightly smaller deletion of ∼33 Mb spans 11q14.2-q23.3. One deletion of ∼8.6 Mb covers 11q22.1-q22.3. The smallest deletion of ∼980 Kb is found within 11q22.3, centered on the ATM gene. Three out of 6 patients show complex interstitial deletions of 11q that consist of two or more discontinuous segments of loss of heterozygosity (LOH) separated by short undeleted regions. Five out of 6 patients with 11q deletions also show 13q hemizygous deletion by CNV analysis and by FISH. In 4 of these patients, the 11q and 13q interstitial deletions are the only acquired CNV events detected in the CLL genome. In one patient with 11q and 13q interstitial deletions, CNV analysis also shows chromosome 12 copy number (CN)=3 (also detected by FISH), CN=3 at 3q24-telomere (tel), and LOH events consistent with hemizygous deletion at 11p13 and 7p15.2-tel. Most noteworthy are 2 patients negative for any FISH abnormality who show copy-neutral LOH of most of 11q. The region of copy-neutral LOH includes 11q12-tel in one patient and 11q13.1-tel in the other patient. The copy-neutral LOH event involves close to 100% of the CLL cells in one patient, but only about 50% of the CLL cells in the other patient. ConclusionsWhole genome CNV analysis by SNP-based microarrays greatly expands our ability to detect acquired genomic events in CLL cells and provides a powerful tool for CLL clinical research. Applying this new genomic technology to CLL patients with 11q deletions reveals marked complexity in the size and structure of hemizygous deletion events, which include the region of the ATM gene at 11q22.3 and can be discontinuous, indicative of complex genomic events. We identified copy-neutral LOH of 11q in 2 patients, a finding not previously described in CLL cells. Copy-neutral LOH of 11q is a genetic mechanism by which biallelic mutations of ATM, in cooperation with the loss of other tumor suppressor genes on 11q, may contribute to poor outcomes in some CLL patients without detectable FISH abnormalities. Additional studies, including sequencing of the ATM gene in 11q copy-neutral LOH patients, are required to confirm this hypothesis. DisclosuresShanafelt:Genentech, Hospira, Polyphenon E International, Celgene, Cephalon, Bayer Health Care Pharmaceuticals: Research Funding. Kay:Genentech, Celgene, Hospira, Polyphenon Pharma, Sanofi-Aventis: Research Funding; Biogenc-Idec, Celgene, Genetech, Genmab: Membership on an entity's Board of Directors or advisory committees. Zent:Genentech: Research Funding; Bayer: Research Funding; Genzyme: Research Funding; Novartis: Research Funding.

Whole Genome Copy Number Variation Analysis of Chronic Lymphocytic Leukemia (CLL) Cells From Early-Intermediate Stage, High Risk CLL Patients Prior to First Treatment Reveals New Loss of Heterozygosity and Duplication Events in the CLL Genome.

Abstract 1265Poster Board I-287 IntroductionFluorescence in situ hybridization (FISH), in combination with other markers, is used as a prognostic tool for CLL patients at diagnosis. The presence or absence of trisomy 12 and deletions at 13q, 11q, and 17p helps to predict disease progression and to stratify patients for therapeutic decisions. We hypothesized that whole genome single nucleotide polymorphism (SNP)-based copy number variation (CNV) analysis would capture all of the information in current CLL FISH panels and would reveal new CNV features in the CLL genome. Patients and MethodsNineteen early-intermediate clinical stage, untreated CLL patients aged 29 to 77 were determined to be at high risk for disease progression by FISH, IgVH mutation status, ZAP-70, and CD38 prognostic markers. CLL cells and normal cells were separated by magnetic bead selection from patient peripheral blood samples with absolute lymphocyte counts that ranged from 7.4 to 162 × 109/L. CNV analysis was performed on purified genomic DNA from the CLL cells and from normal cells for each patient in order to distinguish acquired CNVs in malignant cells from polymorphic CNVs in the human genome. We used the Illumina human660w-quad beadchip, a SNP-based microarray for whole-genome genotyping and CNV analysis that contains more than 550,000 tag SNPs and approximately 100,000 additional markers that target regions of common CNV. CNV data was analyzed using CNV partition (Illumina Genome Studio software) and PennCNV. Results100% concordance is found between del(13q), del(11q), and del(17p) FISH abnormalities and loss of heterozygosity (LOH) at 13q, 11q, and 17p by CNV analysis. All three patients with trisomy 12 by FISH show copy number(CN)=3 of chromosome 12 by CNV analysis. Of 15 patients with del(13q) by FISH, 12 out of 15 have regions of hemizygous deletion on 13q that vary from ∼830 Kb to ∼38 Mb. The smallest region of LOH is located within 13q14.3. Three out of 15 patients show homozygous deletion within 13q14.3. One of these 3 patients has copy-neutral LOH of the entire 13q arm with an embedded 835 Kb segment of homozygous deletion at 13q14.3. Two patients have large discontinuous segments of LOH on 13q, indicating complex interstitial deletion events. Two out of 5 patients with del(13q) as a sole FISH abnormality show additional CNV events in the CLL genome. One of these patients has copy neutral LOH at 2q33.1-telomere(tel). One other patient with sole del(13q) FISH shows LOH events at 10q23.31-23.33 and at 15q15.1. Five out of six patients with del(11q) by FISH have either 13q LOH (n=4) or chromosome 12 CN=3 (n=1) without any other CNV events detected in the CLL genome. One patient with trisomy 12 and del(11q) by FISH has three additional acquired CNV abnormalities in the CLL genome: LOH at 7p15.2-tel, LOH at 11p13, and CN=3 at 3q24-tel. In contrast to patients with del(11q), del(13q), and trisomy 12, patients with del(17p) by FISH have numerous acquired CNV abnormalities in the CLL genome. These include LOH events at 1p34.3-p34.2, 2q34-q36.3, 3p21.31-tel, 4p13, 4p15.1-tel, 15q11.2-q14 and 15q14-q15.3, 16p13.3-tel, 16p13.11, 16p13.2, 18p11.21-tel, 20p11.21-tel, and 20q13.2-q13.31. CN=3 at 2p12-tel is detected in 2 out of 5 patients with 17p hemizygous deletion. One out of 5 patients with 17p hemizygous deletion shows CN=3 at 10q22.2-tel. One other patient also with 17p hemizygous deletion shows CN=3 at 22q12.2-tel. ConclusionsWhole genome CNV analysis by SNP-based microarrays greatly expands our ability to detect acquired genomic events in CLL cells. These events include hemizygous deletion, homozygous deletion, copy-neutral LOH, and CN=3 duplication. Detection of copy-neutral LOH is not possible by FISH or array comparative genomic hybridization technology. The current study reveals a high number of acquired CNV events in earlier stage, untreated CLL patients with 17p hemizygous deletion. This observation, indicative of genomic instability, is consistent with the known poor prognosis of del(17p) patients. The new somatic CNV abnormalities detected in CLL cells may help to discover additional genes or signaling pathways involved in CLL initiation and progression. In addition, the new CNV markers may be used in larger clinical studies to improve CLL prognosis and patient stratification for therapy. DisclosuresShanafelt:Genentech: Research Funding; Hospira: Membership on an entity's Board of Directors or advisory committees, Research Funding; Polyphenon E International: Research Funding; Celgene: Research Funding; Cephalon: Research Funding; Bayer Health Care Pharmaceuticals: Research Funding. Kay:Genentech, Celgene, Hospira, Polyphenon Pharma, Sanofi-Aventis: Research Funding; Biogenc-Idec, Celgene, Genentech, genmab: Membership on an entity's Board of Directors or advisory committees. Zent:Genentech, Bayer, Genzyme, Novartis: Research Funding.