Citations

Neural cells derived from induced pluripotent stem cells from patients with genetic forms of Parkinson’s disease provide insights into disease pathogenesis.

Abstract Epithelial ovarian cancer (EOC) is the 6th most commonly diagnosed cancer among women in the world, accounting for 4% of all female cancers. On a worldwide basis, an estimated 204,000 new cases are diagnosed and 125,000 women die of EOC annually, with 5-year survival rate at 45%. Metastasis and its complications are the usual cause of EOC-related deaths. Thus, factors related to tumor aggressiveness, response to therapy, and the underlying health state of the patient often predict survival. Candidate gene and genome-wide association studies (GWAS) for survival from EOC have discovered only a few the genetic variants, accounting for only a small proportion of the heritability. One explanation for the missing heritability is that the common analysis approach _ assessing the effect of each single nucleotide polymorphism (SNP) individually _ is not well suited to the detection of small effects of multiple SNPs. Gene set analysis (GSA) overcomes this limitation by assessing the overall evidence of association of a phenotype with all measured variation in a set of genes or pathway. Therefore, we conducted a GSA using data from an EOC GWAS, using the Illumina 610-quad SNP array, to determine novel gene sets (GSs) associated with overall survival (OS) from EOC (N cases = 1057, N deaths = 495). All subjects were non-Hispanic, non-Jewish Caucasians, with sample and SNP call rates >95%. Subjects with ambiguous gender, unresolved identical genotypes, and less than 80% European ancestry were also excluded. SNPs were mapped to genes within 20 kb, with genes then mapped to GSs defined by the following: KEGG, Gene Ontology (biological, cellular, molecular) and PharmGKB. GSA was completed in which the association of each gene with OS was assessed using a principal component gene-level test (adjusting for study site, age and population sub-structure based on the first eigenvector from EigenStrat), followed by the aggregation of the gene-level p-values using the Gamma method with a soft truncation threshold of 0.15. Empirical p-values were determined using permutation methods. Of the 2,573 GSs assessed, 30 GSs had a p-value < 0.01. The top GSs were related to: mismatch repair (p = 3.0E-4), platelet formation (p=0.001), leukocyte adhesive activation (p=0.002), antigen processing and presentation of endogenous antigens (p = 0.002) or peptide antigens (p = 0.002), platinum pathway (p = 0.003), aging and lifespan (p = 0.004, p = 0.007), immune system development (p = 0.004) and somatic diversification (p=0.007). These results illustrate the usefulness of GSA for the development of novel hypotheses that can be followed-up with additional clinical or functional studies. Moreover, application of GSA to survival from EOC allowed the detection of significant GSs (and the corresponding genes/SNPs within these GSs) that impact OS that were not detected by assessing each SNP individually, where the smallest p-value from single SNP analysis of the GWAS for OS was 1.3E-05. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2738. doi:10.1158/1538-7445.AM2011-2738

Abstract The etiology of ovarian cancer is poorly understood but there is clearly a heritable component. Efforts to identify susceptibility alleles rarely consider interactions among alleles or their joint effects because it quickly becomes computationally intractable. In this study, we sought to identify multi-SNP effects jointly with a pathway-based analysis (GSEA-SNP) of 1,952 EOC cases and 2,042 frequency-matched controls genotyped with the Illumina 610K array. All subjects were self-reported non-Hispanic non-Jewish Caucasians, with SNP and sample call rates > 95%. Subjects with ambiguous gender, unresolved identical genotypes and < 80% European ancestry were excluded. SNPs with MAF < 1% were excluded. Missing genotypes were inferred using Mach based on the HapMap CEU population. SNPs not within introns were annotated to genes within 100 bp. We retrieved the following databases of gene sets (GSs) from a compiled database, MsigDB: human chromosome and cytogenetic band, chemical and genetic perturbations, canonical pathways, microRNA binding targets, transcription factor targets (TFT), cancer gene neighborhood (CGN), Cancer modules and Gene Ontology. The GSEA-SNP approach calculates and rank orders the trend statistic for association between each SNP and EOC risk. The Enrichment Score (ES) estimates the overrepresentation of top-ranked SNPs for each GS; the statistical significance was estimated using 10,000 permutations. The ES was normalized according to the size of GS to yield Normalized Enrichment Score (NES). The false discovery (FDR) rate was estimated using NES to adjust for multiple hypothesis testing. A total of 5181 gene-sets were included in the analysis. When controlling the FDR at 15%, 14 of the GSs were highly enriched with association signals, including two chromosomal regions, 8q13 (p = 0.0055, FDR = 0.15) and 6p24 (p = 0.0012, FDR = 0.08). BIOCARTA_LYM_PATHWAY, a pathway related to cell adhesion and diapedesis of lymphocytes, was also significant (p = 0.0002, FDR = 0.12). A TFT GS, composed of genes with promoter regions around transcription start sites containing the motif GGCNRNWCTTYS, was associated with risk (p = 0.0004, FDR = 0.08). Currently, no known transcription factors bind to this computationally predicted motif. Molecular function of double stranded RNA binding was also enriched (p = 0.005, FDR = 0.10). The remaining enriched sets were CGN sets, for which the neighborhoods around the cancer genes were originally defined using correlation of gene expression from 4 large data sets of various cancer types. The enriched CGN included: CD48 (p = 0.011), CD53 (p = 0.009), CD97 (p = 0.011), INPP5D (p = 0.010), PTPN6 (p = 0.008), VAV1 (p = 0.011), ITGAL (p = 0.012), PTPRC (p = 0.012), and STAT6 (p = 0.010). In summary, these analyses detected biologically plausible GSs related to etiology of EOC, highlighting SNPs in core enrichment groups that were not identified using individual SNP tests. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4729. doi:10.1158/1538-7445.AM2011-4729

Abstract Phospholipase C epsilon (PLCε or PLC∈ 1) is a phosphoinositide-specific enzyme phospholipase C that converts phosphatidylinositol 4,5-biphosphate to two intracellular second messengers, diacylglycerol and inositol 1,4,5-trisphosphate, which regulate protein kinase C activity and calcium mobilization, respectively. These responses are involved in the regulation of cell growth, differentiation and oncogenesis. However, the involvement of PLCε in human carcinogenesis, particularly in esophageal cancer, was not been recognized until a susceptible SNP (rs2274223: A5780G:His1927Arg) was recently identified in a large genome-wide association study (GWAS). This SNP, located within exon 26 and C2 domain of the PLCε gene at chromosome 10q23, leads to a nonsynonymous alteration from CAC (A allele, encoding histidine) to CGC (G allele, encoding arginine), which was associated with an increased risk of both squamous cell carcinoma and esophagus-cardia gastric adenocarcinoma. In the current report, we demonstrate that the presence of the G allele (AG or GG) at this locus leads to increased PLCε mRNA and protein expression in human esophageal cancer tissues and in human esophageal cancer cell lines. The present of G allele also leads o a higher enzyme activity in esophageal cancer cells in vitro. Quantitative analysis of the C2 domain sequences revealed that A:G allelic imbalance is strongly associated with esophageal malignancy. Moreover, the analysis of 10,614 non-cancer subjects from high- and low-risk areas of China demonstrated that the presence of the G allele is strongly associated with moderate to severe esophagitis in the subjects from the high-risk areas of China: 77% of the severe esophagitis individuals in high-risk areas had AG/GG genotypes vs. only 37% of these subjects in low-risk areas (OR 6.03 with 95% CI 1.59-22.9 vs. OR 0.74 with 95% CI 0.33-1.64; p=0.008). These data suggest that the interaction of potential environmental factors with PLCε, particularly in individuals with AG or GG allele, not only exists in high-risk areas for esophageal cancer development in China, but also correlates with the severity of esophagitis. In conclusion, PLCε is likely to play a pivotal role in esophageal carcinogenesis: the presence of the 5780G allele may not only predict a high risk of future esophageal cancer development, but may also participate in esophageal cancer growth and progression by upregulating levels of PLCε mRNA, protein, and enzyme activity, ultimately leading to augmentation of the inflammatory process in esophageal epithelium. Thus, the 5780G allele in PLCε may constitute a promising biomarker for esophageal squamous carcinoma risk stratification, early detection, and progression prediction. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4704. doi:10.1158/1538-7445.AM2011-4704

Abstract Because numerous chemotherapeutic agents exert their cytotoxic effects through generation of reactive oxygen species, the use of antioxidant supplements during treatment is controversial. There are published recommendations to suspend antioxidant supplement use during treatment, despite lack of empirical data from clinical studies; however, it is unclear if patients follow these recommendations. We examined use of multivitamins and vitamin supplements (MV/SP) during treatment for breast cancer, particularly in relation to physician recommendations. High-risk breast cancer patients (n=855) were queried regarding physician recommendations and use of MV/SP via self-administered questionnaires in an ancillary study embedded in a phase III trial of dose-dense compared to metronomic administration of doxorubicin/cyclophosphamide + paclitaxel (SWOG S0221). Of the 658 patients who reported discussing use of supplements during treatment with their physicians, 390 (59%) received no counseling regarding MV/SP use, 85 (13%) received recommendations not to take MV/SP, and 183 (28%) received recommendations to use MV/SP. MV/SP use during treatment was compared to use prior to diagnosis in relation to physician recommendations, with the reference group comprised of those receiving no recommendations. Of those using MV ≥ once/week before diagnosis, recommendations not to take MV/SP were associated with a tenfold reduction in MV use to < once/week during treatment. (OR=10.0, 95% CI=3.7-27.0). MV use was less likely to decrease among patients receiving recommendations to use MV/SP (OR=0.23, 95% CI=0.12-0.44). Similar findings were observed among patients who reported use of vitamin C and vitamin E supplements ≥ once/week before diagnosis, with patients who were advised to take no supplements other than a MV more than 5 times as likely to decrease use of antioxidant supplements. MV use during treatment among previous non-users increased almost sixfold among those whose physicians recommended MV/SP use during treatment (OR=5.92, 95% CI=3.29-10.6). For those reporting vitamin C or vitamin E use < once/week before diagnosis, patients whose physicians recommended MV/SP during treatment were more likely to increase their use of vitamin C (OR=2.05, 95% CI=1.00-4.19) and vitamin E (OR=5.28, 95% CI=2.24-12.4). In this study, physician recommendations were strongly associated with patient use of MV/SP during chemotherapy, regardless of the patient's frequency of use prior to diagnosis. These findings highlight the critical need to better understand the mechanisms by which antioxidants may influence chemotherapeutic outcomes, and to determine if supplement use affects toxicity and/or recurrence. Yearly follow-up in this ongoing study will allow us to assess the impact of MV/SP use treatment outcomes, providing a basis for physician recommendations. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4681. doi:10.1158/1538-7445.AM2011-4681

Abstract We performed a multi-stage genome-wide association study (GWAS) for drug response in ovarian cancer. We selected 313 chemotherapy treated patients from the Australian Ovarian Cancer Study (AOCS). Patients were treated with paclitaxel/carboplatin and the trait of interest was Progression Free Survival (PFS). We maximized power for a fixed genotyping budget by genotyping individuals from the tails of the distribution: 94 with good survival and 94 with poor survival, taking into account extent of residual disease following surgery. Patients were genotyped on Illumina HumanOmni1-Quad arrays (1140419 loci).Two further cohorts with measures of PFS and whole genome data available; 134 ovarian patients from the Mayo clinic (genotyped on Illumina HumanHap 610 arrays, 620901 loci) and 68 patients from The Cancer Genome Atlas ovarian cancer set (genotyped on Illumina Human1M arrays, 1199187 loci) were meta-analyzed with the AOCS set (stage 1). We have imputed all the stage 1 samples with reference of the 1000 Genome data to allow more direct comparison of SNPs not common to all of the arrays used (up to 6 million SNPs with good imputation quality). Based on the chemotherapy treatment received by each patient, we assigned the patients into primary and secondary analysis, with primary analysis using a more strictly defined treatment subgroup. We followed up the stage 1 findings by genotyping 26 SNPs in more than 3,000 samples collected from 8 study sites of Ovarian Cancer Association Consortium (OCAC). These 26 SNPs were mainly genotyped SNPs, chosen from 23 distinct regions showing the strongest association with chemotherapy response from either primary or secondary analysis. 2 SNPs showed nominal significance in the replication sample (chr 12: rs1861932, chr 22: rs708444). We are currently genotyping more regions to seek replication of the initial findings. In summary, we sought to identify genes that underlie individual differences in chemoresistance. In the future, typing variations in these genes will be important for personalizing drug regimes for patients. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4679. doi:10.1158/1538-7445.AM2011-4679

Abstract Background: ABT-888 is an inhibitor of poly(ADP-ribose) polymerase1 (PARP1) and PARP2, two highly conserved enzymes implicated in DNA repair, maintenance of genomic stability, and regulation of transcription. Topotecan (TPT) is a water soluble camptothecin derivative with antitumor activity against ovarian tumors. The combination of ABT-888 with TPT is under investigation in phase I trials because PARP inhibition sensitizes tumors cells to TPT in vitro and in vivo. In those trials, the pharmacokinetics of TPT and ABT-888 are being studied to determine if ABT-888 levels are sufficient to modulate PARP activity and to investigate the potential interaction between TPT and ABT-888. Methods: Advanced cancer patients with ECOG performance scores 0-2, adequate hematological, renal and hepatic function were treated with ABT-888 on days 1-3, 8-10, and 15-17 every 28 days. Topotecan was administered on days 2, 9 and 16 every 28 days. DLTs were defined as grade 4 neutropenia, grade 4 thrombocytopenia, grade 4 anemia or ≥ grade 3 non-hematologic toxicities despite maximal supportive care. ABT-888 and Toptoecan pharmacokinetics were characterized in all patients. Analysis of urinary recovery is ongoing. Results: In this ongoing Phase I trial, 13 female patients with ovarian (n=12) or breast (n=1) cancer have been enrolled to date and pharmacokinetic data is available for 12 of those patients. ABT-888/TPT dose levels are: Level 1- 10 mg/ 2 mg/m2, Level 2- 20 mg/2 mg/m2, Level 3- 10 mg/3 mg/m2, and Level 4- 20 mg/3 mg/m2. The combination of ABT-888 with topotecan has been tolerable, with no dose limiting toxicity, and dose escalation continues at dose level 5. Topotecan t1/2 and clearance values were 3.0 ± 0.5 hrs and 9.50 ± 1.51 L/hr/m2 when administered alone, and were not affected by administration with ABT-888. When administered alone, ABT-888 t1/2, Cmax, AUC0-∞ values after the 10 mg dose were 8.2 ± 2.4 hrs, 432 ± 217 nM, and 2568 ± 1300 nM*hr, respectively. ABT-888 t1/2, Cmax, AUC values after the 20 mg dose were 5.7 ± 3.1 hrs, 600 ± 165 nM, and 3870± 934 respectively. When administered with TPT, ABT-888 t1/2, Cmax, AUC values after the 10 mg dose were 7.2 ± 2.1 hrs, 412 ± 283 nM, and 2705± 1089 nM*hr are: nM*hr respectively. ABT-888 t1/2, Cmax and AUC values after the 20 mg dose combined with TPT were 5.8 ± 2.2 hrs, 664 ± 97.6 nM, and 4283± 936 nM*hr respectively. Conclusions: Plasma clearance of TPT and ABT-888 does not appear to be altered when they are administered together. The effect of co-administration of these agents on renal clearance is presently under investigation and those results will be presented. This work was supported by NIH grants R25 GM75148-04, U01CA069912-16S and MM01-RR00585. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1301. doi:10.1158/1538-7445.AM2011-1301

Abstract Background: Unstained recuts from formalin-fixed paraffin-embedded tissues are commonly collected for cooperative group studies. There is concern among pathologists that improper storage conditions can lead to antigen degradation. In an effort to quantify this effect, we compared the expression of HER1 and HER2 on two sets of identical cohort tissue microarrays (TMAs) from the N9831 HER2+ adjuvant phase III trial (NCT00005970; www.clinicaltrials.gov); one freshly cut set (cut April 18, 2011) and a second set stored at 4 degrees for over two years (cut between Nov, 2007 and Jan, 2008). Methods: The two sets of TMA slides containing 1580 tumor samples from the N9831 cohort were treated identically using the AQUA method of quantitative immunofluorescence. HER1 was tested with D38B1 (rabbit monoclonal, Cell Signaling Technology, Inc.) and HER2 with CB11 (mouse monoclonal, Biocare, Inc.) on tumors from 695 patients (712 specimens) in the fresh TMAs and 779 patients (800 specimens) in the old TMAs in up to three-fold redundancy per specimen. Results: Frequency distributions of the expression of HER2 revealed bimodality in the fresh TMAs compared to an attenuated distribution of the old cases. The average score of the entire cohort was significantly lower in old TMAs compared to fresh cuts (paired t-test, p<0.0001). Linear regression of the average HER2 scores from new TMAs versus the average scores from old TMAs showed a slope term of 0.52, which is statistically significantly different from the hypothetical value of 1 (p<0.0001). Regressions between any two fresh slides showed slopes close to 1.0. Similar results were seen for HER1, but fewer positive cases made the changes less dramatic. Conclusions: The storage condition of tissue slides is a critical pre-analytical variable that can dramatically lower the score of HER1 and HER2, artificially. Thus, studies done on inadequately stored slides, either whole sections or TMAs, must be interpreted with caution. Tissue collection and analysis of biomarkers for cooperative group studies should not include unstained recuts, but rather, entire blocks or large cores from tissue blocks. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr PD05-04.

Abstract Background: Prediction of benefit from trastuzumab in patients (pts) with HER2+ breast cancer remains an important goal. We sought to investigate the predictive value of quantitative measurement of HER2, HER3, HER4, EGFR, ER and PTEN protein expression on the benefit of trastuzumab in the phase III HER2+ adjuvant N9831 study for pts randomized to chemotherapy alone (Arm A) or chemotherapy with sequential (Arm B) or concurrent trastuzumab (Arm C). Methods: For each marker, we evaluated quantitative expression, relationship with demographic data, and association with disease-free survival (DFS) of pts. Freshly cut tissue microarray slides with up to three-fold redundancy per specimen from the N9831 cohort were treated identically using the AQUA (Camp, et al; Nat Med 2002, JCO 2008) method of quantitative immunofluorescence for each marker. HER2 was tested with CB11 (mouse monoclonal, Biocare, Inc.) and preliminary results were available for 698 of nearly 1400 pt specimens to be tested. The minimum value per pt was used in statistical analysis. Specimens were classified with high versus low expression based on a median value cutpoint for each marker. Median follow-up was 7.0 yrs. Results: Quantitative HER2 was compared with centrally performed HER2 testing by IHC and FISH. Median quantitative HER2 via AQUA was 10,017 units for the HER2 IHC 3+ group (n=607) versus 1058, 831, and 970 for the HER2 IHC 2+ (n=68), 1+ (n=11), and 0 (n=11) groups, respectively. The Spearman correlation between quantitative HER2 and FISH HER2/CEP17 ratio was 0.32 (p<0.001). High quantitative HER2 was associated with lower percentage of hormone receptor positivity (48% vs 59%, chi-sq p=0.003) but not associated with age, race, nodal positivity, tumor histology, grade, or size. High HER2 did not impact DFS in any arm of the study (See Table). Data for additional HER2 testing, HER3, HER4, EGFR, ER and PTEN are in process and will be ready by September, 2011. Conclusions: Similar to results based on standard HER2 testing by IHC and FISH in N9831, quantitative HER2 did not impact benefit from adjuvant trastuzumab. Results for additional markers will be presented. Our complete quantitative results for a second epitope on HER2, HER3, HER4, ER and EGFR will be the first report of these markers in a large patient cohort in the adjuvant setting. Disease Free Survival Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr PD05-03.

AbstractMutations in the all-trans retinoic acid (ATRA)–targeted ligand binding domain of PML-RARα (PRα/LBD+) have been implicated in the passive selection of ATRA-resistant acute promyelocytic leukemia clones leading to disease relapse. Among 45 relapse patients from the ATRA/chemotherapy arm of intergroup protocol C9710, 18 patients harbored PRα/LBD+ (40%), 7 of whom (39%) relapsed Off-ATRA selection pressure, suggesting a possible active role of PRα/LBD+. Of 41 relapse patients coanalyzed, 15 (37%) had FMS-related tyrosine kinase 3 internal tandem duplication mutations (FLT3-ITD+), which were differentially associated with PRα/LBD+ depending on ATRA treatment status at relapse: positively, On-ATRA; negatively, Off-ATRA. Thirteen of 21 patients (62%) had additional chromosome abnormalities (ACAs); all coanalyzed PRα/LBD mutant patients who relapsed off-ATRA (n = 5) had associated ACA. After relapse Off-ATRA, ACA and FLT3-ITD+ were negatively associated and were oppositely associated with presenting white blood count and PML-RARα type: ACA, low, L-isoform; FLT3-ITD+, high, S-isoform. These exploratory results suggest that differing PRα/LBD+ activities may interact with FLT3-ITD+ or ACA, that FLT3-ITD+ and ACA are associated with different intrinsic disease progression pathways manifest at relapse Off-ATRA, and that these different pathways may be short-circuited by ATRA-selectable defects at relapse On-ATRA. ACA and certain PRα/LBD+ were also associated with reduced postrelapse survival.