Citations

Abstract Background: Genetic and environmental factors influence colorectal cancer (CRC) risk. Previous studies have provided additional etiologic insight by examining multiplicative gene-environment interactions for individual susceptibility loci. However, individual loci confer only modest risks, which may limit statistical power and clinical significance. A genetic risk score comprising known CRC loci may provide a more comprehensive assessment of risk. Further, there is a paucity of data on the role of additive gene-environment interactions, which may have greater public health implications than multiplicative interactions. We thus evaluated both additive and multiplicative interactions between a genetic risk score and 15 key environmental factors on risk of CRC. Methods: We conducted an analysis of 10,491 CRC cases and 10,725 controls of European ancestry in 7 cohort and 6 case-control studies participating in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) or Colon Cancer Family Registry (CCFR). To provide a global measure of genetic predisposition, information across multiple risk variants was combined by calculating a genetic risk score based on 24 polymorphisms near 21 genetic loci identified in previous genome-wide association studies. For the genetic score and environmental factors, the reference category corresponded to that associated with lower CRC risk. We tested for additive interactions by estimating relative excess risk due to interactions (RERIs) using logistic regression; for multiplicative interactions we used an empirical-Bayes approach. Nominal P values ≤ 0.05 were considered statistically significant. Results: After adjustment for age, sex, center, study, principal components, and total energy, as appropriate, we observed super-additive gene-environment interactions for CRC risk between the genetic risk score and body mass index (RERI=0.15; 95% CI: 0.00-0.31), ever smoking (RERI=0.14; 95% CI: 0.00-0.28), pack-years of smoking (RERI=0.23; 95% CI: 0.05-0.41), postmenopausal hormone therapy use (RERI=0.38; 95% CI: 0.17-0.59), and intake of processed meat (RERI=0.23; 95% CI: 0.06-0.40). Of the 15 environmental risk factors, 12 showed RERIs > 0 – suggesting an overall trend toward super-additive interactions for these factors. In addition, we observed evidence of sub-multiplicative interactions for use of aspirin and non-steroidal anti-inflammatory drugs. There were no other statistically significant multiplicative interactions. Conclusions: We observed evidence for super-additive effects of genetic predisposition and environmental risk factors on risk of CRC. Our findings suggest that certain environmental risk factors have stronger effects on absolute risk among individuals with higher genetic risk of CRC. If confirmed in future studies, these results may have implications for targeted prevention strategies. Citation Format: Mengmeng Du, Sonja I. Berndt, Hermann Brenner, Bette J. Caan, Peter T. Campbell, Graham Casey, Andrew Chan, Jenny Chang-Claude, Stephen J. Chanock, Nilanjan Chatterjee, David V. Conti, David Duggan, Jane C. Figueiredo, Steven Gallinger, Jian Gong, Robert W. Haile, Tabitha A. Harrison, Richard B. Hayes, Michael Hoffmeister, John L. Hopper, Li Hsu, Thomas J. Hudson, Carolyn M. Hutter, Eric J. Jacobs, Mark A. Jenkins, Shuo Jiao, Laurence N. Kolonel, Peter Kraft, Loic Le Marchand, Mathieu Lemire, Yi Lin, Noralane M. Lindor, Polly A. Newcomb, John D. Potter, Robert E. Schoen, Fredrick R. Schumacher, Daniela Seminara, Martha L. Slattery, Stephen N. Thibodeau, Cornelia M. Ulrich, Aung Ko Win, Emily White, Brent W. Zanke, Ulrike Peters. Additive and multiplicative gene-environment interactions for colorectal cancer risk. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4831. doi:10.1158/1538-7445.AM2013-4831

Abstract Background: Gliomas are primary malignant brain tumors with significant morbidity and mortality. Single nucleotide polymorphisms (SNPs) mapped to 8q24 have been shown to be associated with glioma development. Recently, we identified seven SNPs (through tag SNP genotyping/imputation, pooled next-generation sequencing using long-range PCR, and validation SNP genotyping) that are highly associated with the risk of developing glioma. After stratifying by histologic and tumor subtype, one SNP, rs55705857, in the 8q24.21 region near CCDC26 was significantly associated with oligodendroglial tumors and IDH mutated astrocytic gliomas with high odds ratios (ORs ∼6.0) (Jenkins et al. Nature Genet. 44:1122;2012). By array comparative genomic hybridization (aCGH), a significant proportion of oligodendroglial tumors and IDH mutated astrocytomas have been shown to duplicate 8q24 (Kitange et al., Genes Chr Cancer 42:68;2005; Nousmehr et al. Cancer Cell 17:510;2010). We were interested in learning if the germline risk allele of rs55705857 is associated with gliomas that duplicate 8q24. We were also interested in learning if the risk allele is preferentially gained in gliomas that duplicate 8q24. Methods: We performed aCGH on 217 tumor samples. rs55705857 germline genotype was available on 120 of the patients; of which 30 carried the risk (G) allele. In addition, we sequenced the rs55805857 region in 48 gliomas, 15 of which exhibited gain or duplication of chromosome 8, 8q, or 8q24. The ratio of the Sanger-sequencing peak heights at and around rs55705857 was used to determine which allele (risk or wild-type) was gained. Results: All 15 duplications included rs55705857 and the immediately adjacent regions. Of the 30 patients who carried the germline risk (G) allele for rs55707857, 8 (26.7%) exhibited duplication of 8q24 upon aCGH analysis of their glioma. Of the 90 patients who only carried the wild-type (A) allele, 7 (7.5%) exhibited duplications of 8q24 upon aCGH analysis of their glioma. This difference in proportion is statistically significant (p=0.024, Fischer exact test). Of the 15 tumors with duplication of 8q24, 8 came from patients who were germline rs55705857 heterozygotes (AG). Of these 8 germline heterozygotes with duplication of 8q24, 4 gained the risk (G) allele, 2 gained the wild-type (A) allele and 2 exhibited gain of both alleles in their tumor specimens. Conclusions: While the results require replication, our data suggest that carrying the risk allele for rs55705857 predisposes to the development of gliomas that subsequently duplicate 8q24. However, gliomas with duplication of 8q24 do not preferentially gain the risk rs55705857 allele. This result implies that, while the duplication always includes the rs55705857 region, the risk allele or region is not the direct target of the duplication. Citation Format: Amanda L. Rynearson, Kirsten A. Schowalter, Stephanie R. Fink, Thomas M. Kollmeyer, Chandralekha Halder, Gobinda Sarkar, Alissa A. Caron, Rachel A. Pauley, Daniel H. Lachance, Brian Patrick O'Neill, Robert B. Jenkins. The germline rs55705857 risk allele is not preferentially gained in gliomas with 8q24 duplication. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4207. doi:10.1158/1538-7445.AM2013-4207

Abstract BACKGROUND Metformin, a widely used anti-diabetic drug, is being considered as a highly promising agent for treatment and prevention of many types of cancer, including breast cancer. Although the exact mechanism of action of metformin is unknown, it is thought that metformin is an AMPK activator. To better individualize metformin therapy and explore additional underlying molecular mechanism associated with metformin action, we conducted a metformin pharmacogenomic study using 266 genomic data-enriched lymphoblastoid cell lines (LCLs). METHODS Genome-wide microarray data were generated for all LCLs, including 1.3 million SNPs, 485K DNA methylation probes and 54K mRNA expression probe sets. Metformin cytotoxicity assay was performed using MTS assay. Genome-wide association (GWA) analyses and integrated analyses using all the genomic data and metformin cytotoxicity (IC50 value) were performed to identify top candidate genes for functional validation in breast cancer cell lines, MDA-MB 231 and Hs578T, using siRNA screening approach. Further mechanistic study was performed to investigate the role of candidates in regulation of AMPK activity. RESULTS GWA analyses in LCLs identified 198 mRNA expression probe sets and 210 DNA methylation probes associated with metformin IC50 with p-value <10-4, respectively. Analysis of 1.3 million SNPs found 12 loci (a region containing at least 1 SNP of p-value <10-5 and 1 SNP of p-value <10-3 within 50kb) that were associated with metformin IC50. Integrated SNP loci-mRNA expression-IC50 analysis indicated that the SNP loci on chromosome 16 was associated with metformin IC50 through a trans-regulation of expression of 7 genes with p-value <10-4. Integrated methylation-mRNA expression-IC50 analysis showed that 15 DNA methylation probes in 6 genes were associated with metformin IC50 through both cis- and trans-regulation of expression of 48 genes with p-value <10-4, including 4 methylation probes in 3 of those 6 genes that were cis-correlated with its own gene expression. Ingenuity pathway analysis of top 62 candidate genes identified four major pathways and 55 genes within those pathways were selected for functional validation in breast cancer cell lines. The knockdown experiment showed that down regulation of 25 genes significantly altered metformin sensitivity in MDA-MB231, and 14 of them also showed the same effect in Hs578T. Preliminary mechanistic experiment indicated that knockdown of 7 genes significantly reduced AMPK activity in MDA-MB231 and 3 of them had same effect in Hs578T. CONCLUSIONS GWAS using a genomic data-enriched LCL model system, together with functional validation in breast cancer cell lines, could help us to identify novel genetic and epigenetic biomarkers involved in metformin response and help us to better understand the mechanisms of metformin in cancer treatment. Citation Format: Nifang Niu, Xianglin Tan, Brooke L. Fridley, Daniel J. Schaid, Ryan P. Abo, Anthony Batzler, Erin E. Carlson, Gregory Jenkins, Sebastian Moran, Holger Andrea Heyn, Manel Esteller Badosa, Liewei Wang. Metformin pharmacogenomics: A genome-wide associate study to identify genetic and epigenetic biomarkers involved in metformin response. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2271. doi:10.1158/1538-7445.AM2013-2271

Abstract Definitive radiotherapy combined with chemotherapy is associated with enhanced locoregional control and clinical outcomes in non-small cell lung cancer (NSCLC) patients who are not candidates for surgery. However, radiation-induced pneumonitis and esophagitis are common dose-limiting inflammatory conditions that occur in these patients. These events can compromise the effect of the overall treatment and reduce quality of life in these patients. It is not clear what factors contribute to differences in the development of toxicities among patients with same clinical or dosimetric parameters. In this study, we conducted a large scale pathway-based analysis to identify inflammation-related genetic variants associated with radiation-induced pneumonitis or esophagitis. In the initial discovery phase, 11,930 inflammation-related genetic variants were genotyped in 243 stage I-III NSCLC patients who were treated with definitive radiotherapy at MD Anderson Cancer Center. A fast-track validation was performed for the top candidate SNPs in an additional 212 NSCLC cases following the same criteria. A total of 14 SNPs and 12 SNPs were validated for pneumonitis and esophagitis, respectively. Meta-analysis was used to summarize the results from two phases. The most significant SNPs for esophagitis and pneumonitis mapped to chromosome 18p (OR=9.05, 95%CI=2.68-30.59, P-meta=3.90×10−4) and 14q (OR=4.75, 95%CI=2.17-10.41, P-meta =9.61×10−5), respectively. To explore the potential underlying mechanisms, we analyzed radiation sensitivity and eQTL relationships of the identified SNPs and their host genes in 277 ethnically defined human lymphoblastoid cell lines. Among the 24 host genes for the 26 identified SNPs, three genes (DDX58, GZMB, CDC2) showed significant association with radiation responses in these cell lines (P<0.05). Moreover, a significant eQTL relationship was identified between CDC2 expression and the genotype of the identified CDC2 SNP (P=0.022). Interestingly, this CDC2 SNP is predicted to create a new miRNA binding site. Luciferase reporter assays to test the influence of this SNP on miRNA regulation is currently ongoing. Our results provide evidence that inflammation-related genetic variants contribute to the development of radiation-induced pneumonitis and esophagitis. The results also suggest that gene expression changes through altered miRNA binding may be an underlying mechanism for these events. Citation Format: Xia Pu, Liewei Wang, Michelle AT Hildebrandt, Yuanqing Ye, Joe Y. Chang, Charles Lu, Heath D. Skinner, Nifang Niu, Gregory D. Jenkins, Ritsuko Komaki, John D. Minna, Jack A. Roth, Richard M. Weinshilboum, Xifeng Wu. Inflammation-related genetic variants predict radiation-induced toxicity following definitive radiotherapy for non-small cell lung cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3626. doi:10.1158/1538-7445.AM2013-3626

Abstract The FKBP5 gene encodes the FKBP51 immunophilin, a negative regulator of AKT. Variability in level of FKBP5 expression is a major factor contributing to variation in response to several classes of chemotherapeutic agents including gemcitabine, first line treatment for pancreatic cancer. Genetic variation of FKBP5 could influence its expression, function, and, ultimately, treatment response of pancreatic cancer. We set out to comprehensively study the role of genetic variation in FKBP5 identified by Next Generation DNA resequencing in response to gemcitabine treatment of pancreatic cancer by utilizing both tumor and germline DNA samples from 43 pancreatic cancer patients, including 19 paired tumor-normal samples. Genotype-phenotype association studies with overall survival (in tumor only) as well as with FKBP5 gene expression were performed using the same samples in which Next Generation DNA resequencing had been performed, followed by functional genomic studies of top selected single nucleotide polymorphisms (SNPs). In-depth resequencing identified 404 FKBP5 SNPs in both normal and tumor DNA patient samples. SNPs with the smallest p-values for association with FKBP5 survival or expression were subjected to functional genomic studies. Electromobility shift assay (EMSA) showed that the rs73748206 “T” allele altered DNA-protein binding patterns, consistent with a significantly increased reporter gene activity. The effect of rs73748206 was also confirmed by mRNA expression studies using lymphoblastoid cell lines (LCL) derived from the same patients from whom DNA used for resequencing had been obtained. This comprehensive FKBP5 resequencing study provides insight into the role of inheritance in variation in response to gemcitabine therapy of pancreatic cancer. Citation Format: Katarzyna A. Ellsworth, Bruce W. Eckloff, Liang Li, Irene Moon, Brooke L. Fridley, Greg D. Jenkins, Erin Carlson, Abra Brisbin, Ryan Abo, William Bamlet, Gloria Petersen, Eric D. Wieben, Liewei Wang. Contribution of FKBP5 genetic variation to gemcitabine treatment and survival in pancreatic cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2209. doi:10.1158/1538-7445.AM2013-2209

Abstract Background: Adding adjuvant trastuzumab to chemotherapy for patients (pts) with resected HER2+ breast cancer (BC) improves disease free and overall survival (Perez EA, et al. J Clin Oncol 2011). Understanding which pts are most likely to benefit from these therapies is a goal of our team. Methods: Baseline 1639 annotated tumor specimens from pts enrolled in the phase III N9831 adjuvant trastuzumab trial (NCT00005970) were processed via the >29,000 gene probe DASL technology (Illumina) to identify genomic predictors of pt outcome to Arm A chemotherapy or Arm C chemotherapy plus concurrent trastuzumab. Samples were spotted in 96 well plates, with appropriate replicates. Extensive quality control and internal validation were performed. The association of each gene with recurrence-free survival (RFS) was determined for each treatment arm separately using CoxPH models adjusted for clinical and tumor risk factors. A p < 0.0001 was used to define significance. A geneset analysis (using 408 Kegg/BioCarta genesets) was performed to determine pathways associated with RFS. Results: PRPF4B, EWSR1, BMI1, CNNM1, FOXO4, CLIP2, MCCC1, CHRM2 were found to be significantly associated with RFS for Arm A and AAK1, DAZAP2, TP53INP1, MACF1 and ADHFE1 were associated with RFS for Arm C. The most significant pathway associated with RFS in Arm A was the KEGG hypertrophic cardiomyopathy pathway and for Arm C, the BioCarta pertussis toxin-insensitive CCR5 signaling in macrophage pathway. Conclusions: We have identified 8 genes associated with RFS for pts treated with adjuvant chemotherapy, and 5 genes associated with RFS for pts treated with concurrent trastuzumab and chemotherapy in pts with HER2 early stage BC. In addition, geneset analysis identified BioCarta and Kegg pathways associated with RFS for each arm. Validation in an independent cohort is expected to be completed by the end of 2012. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD10-04.

Abstract Introduction: The appropriate assessment of HER2 amplification status is critical to determining which patients should receive HER2-directed therapy. An alternative to FISH is D-ISH (Ventana Medical Systems Tucson, Arizona) which utilizes chromogenic HER2 and chromosome 17 probes. Both FISH and D-ISH utilize formalin-fixed, paraffin-embedded (FFPE) human breast cancer tissue specimens. D-ISH has two principle advantages over FISH: it can be visualized using light microscopy and after analysis the specimens can be archived. Methods: We tested 250 samples with FISH and with D-ISH. Fifty specimens were controls: 25 cases with no HER2 or CEP17anomaly and 25 cases with HER2 amplification. There were also 200 test subjects of 50 cases each of chromosome 17 aneusomy, HER2 deletion (HER2/CEP17 ratio <0.8), HER2 duplication (HER2/CEP17 ratio 1.3–1.8), and equivocal results (HER2/CEP17 ratios between 1.8 and 2.2). FISH (Abbott Molecular) and D-ISH analysis were performed using methods described in the appropriate clinical kit package inserts, with the following exception: Four cases with CEP17 and HER2 co-amplification were also included and for FISH analysis these cases were reflexed to the use of chromosome 17 control probe (D17S122). Results: Four samples failed testing by D-ISH. There was a 63% (155/246) concordance between FISH and D-ISH by anomaly (aneusomy, duplication, deletion, etc.) and an 83% concordance by amplification status (non-amplified, equivocal, and amplified). D-ISH detected 18 (62%) of F-ISH-amplified cases. D-ISH resulted in lower estimates of HER2/CEP17 ratios than FISH, and many cases that were equivocal by FISH were normal by D-ISH. D-ISH did not detect HER2 amplification in any of the four HER2 and CEP17 co-amplified cases. Conclusions: We observed a lower concordance rate between FISH and D-ISH than the ∼95% rate in the D-ISH package insert. This lower concordance rate is likely a result of how this study was designed: it was biased toward common chromosome 17 anomalies and difficult specimens. Such specimens comprise about 60% of our current clinical HER2 biomarker practice. D-ISH may underestimate the HER2/CEP17 ratio, or FISH may overestimate this ratio. D-ISH also does not reliably detect HER2 amplification when the centromere of chromosome 17 is also co-amplifed. Compared to FISH, in this study cohort D-ISH had a significant false negative rate for the detection of HER2 amplification. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD02-05.

Abstract Objectives: Cellular fibroepithelial lesions (CFELs) are a heterogeneous group of tumors encompassing cellular fibroadenoma (CFA) and phyllodes tumor (PT). Distinction between the two is challenging on core needle biopsy (CNB) specimens. The objective of this study was to evaluate histologic features that can help distinguish PT from CFA on CNB specimens. Methods: Records of all patients diagnosed with CFELs on CNB specimens with follow-up excision between January 2002 and December 2012 were retrieved. Histopathologic stromal features were evaluated on CNB specimens, including mitoses per 10 high-power fields (hpf), overgrowth, increased cellularity, fragmentation, adipose tissue infiltration, heterogeneity, subepithelial condensation, and nuclear pleomorphism. Results: Twenty-seven (42.2%) of 64 were diagnosed as PT (24 benign PTs and three borderline PTs) and 37 (57.8%) as CFA on excision. All features except for increased stromal cellularity were statistically significant. The average number of histologic features seen in PT and CFA was 3.9 and 1.4, respectively (odds ratio [OR], 7.27; 95% confidence interval [CI], 2.44–21.69; P = .0004). The average number of mitoses per 10 hpf was 3.0 for PT compared with 0.8 for CFA (OR, 2.14; 95% CI, 1.18–3.86; P = .01). Conclusions: The presence of mitoses (three or more) and/or total histologic features of three or more on CNB specimens were the most helpful features in predicting PT on excision.

Abstract Background: Individuals with a family history of colorectal cancer in first-degree relatives have an elevated risk of developing colorectal cancer themselves, particularly colorectal cancer exhibiting high microsatellite instability (MSI-high). Given that MSI-high colorectal cancer is associated with a favorable prognosis, it is plausible that having a family history of colorectal cancer could, in turn, be favorably associated with colorectal cancer survival. Methods: This study comprised N = 4,284 incident colorectal cancer cases enrolled in the Colon Cancer Family Registry via population-based cancer registries. Using Cox proportional hazards regression, we evaluated the association between family history and both overall and disease-specific survival, accounting for MSI status and tumor site via stratified analyses and statistical adjustment. Results: There was no evidence of association between family history and overall [hazard ratio (HR), 0.92; 95% confidence interval (CI), 0.79–1.08] or disease-specific survival (HR, 1.03; 95% CI, 0.85–1.24) for all cases combined, after adjustment for MSI status or tumor site. Only for rectal cancer cases was colorectal cancer family history modestly associated with more favorable overall survival (HR, 0.75; 95% CI, 0.56–0.99). Conclusions: Although individuals with a family history of colorectal cancer were more likely to have MSI-high tumors than those with nonfamilial disease, this did not translate to a survival benefit. Impact: Overall, there is no evidence that family history of colorectal cancer is associated with colorectal cancer survival; however, specific mechanisms underlying family history may have prognostic impact and merit further study. Cancer Epidemiol Biomarkers Prev; 23(8); 1700–4. ©2014 AACR.