Hildebrandt, Michelle A.T.

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

ScopeWe reevaluated previously reported associations between variants in pathways of one‐carbon (1‐C) (folate) transfer genes and ovarian carcinoma (OC) risk, and in related pathways of purine and pyrimidine metabolism, and assessed interactions with folate intake.Methods and resultsOdds ratios (OR) for 446 genetic variants were estimated among 13 410 OC cases and 22 635 controls, and among 2281 cases and 3444 controls with folate information. Following multiple testing correction, the most significant main effect associations were for dihydropyrimidine dehydrogenase (DPYD) variants rs11587873 (OR = 0.92; p = 6 × 10−5) and rs828054 (OR = 1.06; p = 1 × 10−4). Thirteen variants in the pyrimidine metabolism genes, DPYD, DPYS, PPAT, and TYMS, also interacted significantly with folate in a multivariant analysis (corrected p = 9.9 × 10−6) but collectively explained only 0.2% of OC risk. Although no other associations were significant after multiple testing correction, variants in SHMT1 in 1‐C transfer, previously reported with OC, suggested lower risk at higher folate (pinteraction = 0.03–0.006).ConclusionVariation in pyrimidine metabolism genes, particularly DPYD, which was previously reported to be associated with OC, may influence risk; however, stratification by folate intake is unlikely to modify disease risk appreciably in these women. SHMT1 SNP‐by‐folate interactions are plausible but require further validation. Polymorphisms in selected genes in purine metabolism were not associated with OC.

Abstract To identify the genetic factors that influence overall survival in never smokers who have non–small cell lung carcinoma (NSCLC), we conducted a consistency meta-analysis study using genome-wide association approaches for overall survival in 327 never smoker patients with NSCLC from The University of Texas MD Anderson Cancer Center (Houston, TX) and 293 cases from the Mayo Clinic (Rochester, MN). We then conducted a two-pronged validation of the top 25 variants that included additional validation in 1,256 patients with NSCLC from Taiwan and assessment of expression quantitative trait loci (eQTL) and differential expression of genes surrounding the top loci in 70 tumors and matched normal tissues. A total of 94 loci were significant for overall survival in both MD Anderson and Mayo studies in the consistency meta-analysis phase, with the top 25 variants reaching a P value of 10−6. Two variants of these 25 were also significant in the Taiwanese population: rs6901416 [HR, 1.44; 95% confidence interval (CI), 1.01–2.06] and rs10766739 (HR, 1.23; 95%CI, 1.00–1.51). These loci resulted in a reduction of median survival time of at least eight and five months in three populations, respectively. An additional six variants (rs4237904, rs7976914, rs4970833, rs954785, rs485411, and rs10906104) were validated through eQTL analysis that identified significant correlations with expression levels of six genes (LEMD3, TMBIM, ATXN7L2, SHE, ITIH2, and NUDT5, respectively) in normal lung tissue. These genes were also significantly differentially expressed between the tumor and normal lung tissue. These findings identify several novel, candidate prognostic markers for NSCLC in never smokers, with eQTL analysis suggesting a potential biologic mechanism for a subset of these observed associations. Cancer Res; 73(13); 4028–38. ©2013 AACR.

Abstract Barrett's esophagus is the precursor lesion of esophageal adenocarcinoma, whose progression follows sequential stages. However, the low progression rate and the inadequacy and subjective interpretation of histologic grading in predicting Barrett's esophagus progression call for more objective biomarkers that can improve risk prediction. We conducted a genome-wide profiling of 754 human microRNAs (miRNA) in 35 normal epithelium, 34 Barrett's esophagus, and 36 esophageal adenocarcinoma tissues using TaqMan real-time PCR-based profiling. Unsupervised hierarchical clustering using 294 modestly to highly expressed miRNAs showed clear clustering of two groups: normal epithelium versus Barrett's esophagus/esophageal adenocarcinoma tissues. Moreover, there was an excellent clustering of Barrett's metaplasia (without dysplasia) tissues from normal epithelium tissues. However, Barrett's esophagus tissues of different stages and esophageal adenocarcinoma tissues were interspersed. There were differentially expressed miRNAs at different stages. The majority of miRNA aberrations involved upregulation of expression in Barrett's esophagus and esophageal adenocarcinoma tissues, with the most dramatic alterations occurring at the Barrett's metaplasia stage. Known oncomiRs, such as miR-21, miR-25, and miR-223, and tumor suppressor miRNAs, including miR-205, miR-203, let-7c, and miR-133a, showed progressively altered expression from Barrett's esophagus to esophageal adenocarcinoma. We also identified a number of novel miRNAs that showed progressively altered expression, including miR-301b, miR-618, and miR-23b. The significant miRNA alterations that were exclusive to esophageal adenocarcinoma but not Barrett's esophagus included miR-375 downregulation and upregulation of five members of the miR-17-92 and its homologue clusters, which may become promising biomarkers for esophageal adenocarcinoma development. Cancer Prev Res; 6(3); 196–205. ©2013 AACR.

Abstract Purpose: Lung cancer in never-smokers (LCINS) is increasingly recognized as a distinct disease from that in ever-smokers owing to substantial differences in etiology, clinical characteristics, and prognosis. Therefore, we aimed to identify prognostic markers specific for LCINS. Experimental Design: First, 11,930 single-nucleotide polymorphisms (SNP) in 904 inflammation-related genes were genotyped, and their associations with overall survival in 411 patients with LCINS at MD Anderson Cancer Center were analyzed. Next, validation of the top 27 SNPs in 311 patients with LCINS at Mayo Clinic was conducted. Results: Three SNPs (IL17RA:rs879576, BMP8A:rs698141, and STY:rs290229) were validated (P < 0.05), and two SNPs (CD74:rs1056400 and CD38:rs10805347) reached borderline significance (P = 0.08) in the Mayo Clinic population. We validated a survival-tree created in the MD Anderson population exploring gene–gene interactions in the Mayo Clinic population. This survival-tree stratified patients into subsets with significantly different risks of death: patients with the rs1056400_GG/rs698141_GA + AA genotype had significantly higher risk of death in both MD Anderson (HR:2.32, 95%CI: 1.58–3.41) and Mayo (HR:1.97, 95%CI: 1.11–3.50) populations compared with those with the rs1056400_GG/rs698141_GG or rs1056400_GA + AA genotype. We evaluated these five SNPs in 996 ever-smokers from MD Anderson and found no significant associations. Conclusions: Our study provides strong evidence that inflammation-related genetic variations can affect clinical outcomes in LCINS, which may lead to significant biologic insight into these outcomes. Clin Cancer Res; 18(21); 5983–91. ©2012 AACR.

Abstract Lung cancer in never-smokers is increasingly recognized as distinct from that in ever-smokers owing to substantial differences in etiology, clinical characteristics, and prognosis. Therefore, we aimed to identify prognostic markers specific for lung cancer in never-smokers in a two-stage study. First, 11,930 single-nucleotide polymorphisms (SNPs) in 904 inflammation-related genes were genotyped, and their associations with overall survival in 411 never-smokers with lung cancer at The University of Texas MD Anderson Cancer Center were analyzed. Next, fast-track validation of the top 37 SNPs in 311 never-smokers with lung cancer at Mayo Clinic was performed. Three SNPs (interleukin 17 receptor A:rs879576, bone morphogenetic protein 8A:rs698141, and spleen tyrosine kinase:rs290229) were validated (p<0.05), and two more SNPs (CD74:rs1056400 and CD38:rs10805347) were borderline significant (p=0.08) in the Mayo Clinic population. In combined analysis of the MD Anderson and Mayo Clinic patients, IL17RA:rs879576 resulted in a 40% reduction in the risk of death (p=4.1 × 10−5 [p=0.61, heterogeneity test]). We successfully validated a survival tree created in MD Anderson population based on gene-gene interactions in the Mayo Clinic population. This survival tree stratified patients into subsets with significantly different risks of death: patients at MD Anderson with the rs1056400_GG/rs698141_GA+AA genotype had a 2.32-fold higher risk of death (p=1.72 × 10−5) and 9-month shorter median survival time (MST) (p=4.5 × 10−4, log-rank test) than did those with the rs1056400_GG/rs698141_GG or rs1056400_GA+AA genotype in the discovery phase. Also, the patients at Mayo Clinic with the former genotype had an approximately twofold higher risk of death (p=0.02) and a strikingly shorter (by 26 months) MST (p=0.029, log-rank test) than did those with the latter genotype in the validation phase. We evaluated these five SNPs in 996 ever-smokers and found no significant associations. To our knowledge, this is the first study to systematically evaluate the associations of genetic variations in major inflammation-related genes with outcome of lung cancer in never-smokers. It provides strong evidence that inflammation-related genetic variations can affect clinical outcomes in these patients, which may lead to significant biological insight into these outcomes. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2929. doi:1538-7445.AM2012-2929

Abstract Two cytidine analogues, gemcitabine (dFdC) and 1-β-d-arabinofuranosylcytosine (AraC), show significant therapeutic effect in a variety of cancers. However, response to these drugs varies widely. Evidence from tumor biopsy samples shows that expression levels for genes involved in the cytidine transport, metabolism, and bioactivation pathway contribute to this variation in response. In the present study, we set out to test the hypothesis that variation in gene expression both within and outside of this “pathway” might influence sensitivity to gemcitabine and AraC. Specifically, Affymetrix U133 Plus 2.0 GeneChip and cytotoxicity assays were performed to obtain basal mRNA expression and IC50 values for both drugs in 197 ethnically defined Human Variation Panel lymphoblastoid cell lines. Genes with a high degree of association with IC50 values were involved mainly in cell death, cancer, cell cycle, and nucleic acid metabolism pathways. We validated selected significant genes by performing real-time quantitative reverse transcription-PCR and selected two representative candidates, NT5C3 (within the pathway) and FKBP5 (outside of the pathway), for functional validation. Those studies showed that down-regulation of NT5C3 and FKBP5 altered tumor cell sensitivity to both drugs. Our results suggest that cell-based model system studies, when combined with complementary functional characterization, may help to identify biomarkers for response to chemotherapy with these cytidine analogues. [Cancer Res 2008;68(17):7050–8]

Abstract Glutathione S-transferase P1 (GSTP1) is of importance for cancer research because of its role in detoxifying carcinogens, activating antineoplastic prodrugs, metabolizing chemotherapeutic agents, and its involvement in cell cycle and apoptosis regulation. Two common GSTP1 genetic polymorphisms have been studied extensively. However, the full range of GSTP1 genetic variation has not been systematically characterized in the absence of disease pathology. We set out to identify common GSTP1 polymorphisms in four ethnic groups, followed by functional genomic studies. All exons, splice junctions, and the 5′-flanking region of GSTP1 were resequenced using 60 DNA samples each from four ethnic groups. The 35 single-nucleotide polymorphisms (SNP) identified included six nonsynonymous SNPs and 17 previously unreported polymorphisms. GSTP1 variant allozymes were then expressed in COS-1 cells, and five displayed significantly altered levels of enzyme activity. One decreased to 22% of the wild-type (WT) activity. Four variant allozymes had Km values that differed significantly from that of the WT, and five showed altered levels of immunoreactive protein compared with WT, with a significant correlation (r = 0.79, P < 0.007) between levels of immunoreactive protein and enzyme activity in these samples. In the Mexican American population, five linked SNPs were significantly associated with GSTP1 mRNA expression, one of which was found by electrophoretic mobility shift assay to alter protein binding. These studies have identified functionally significant genetic variation, in addition to the two frequently studied GSTP1 nonsynonymous SNPs, that may influence GSTP1's contribution to carcinogen and drug metabolism, and possibly disease pathogenesis and/or drug response. [Cancer Res 2008;68(12):4791–801]

Abstract Purpose: The proteasome is a multisubunit cellular organelle that functions as a nonlysosomal threonine protease. Proteasomes play a critical role in the degradation of proteins, regulating a variety of cellular processes, and they are also the target for antineoplastic proteasome inhibitors. Genetic variation in proteasome subunits could influence both proteasome function and response to drug therapy. Experimental Design: We resequenced genes encoding the three active proteasome β subunits using 240 DNA samples from four ethnic groups and the β5 subunit gene in 79 DNA samples from multiple myeloma patients who had been treated with the proteasome inhibitor bortezomib. Resequencing was followed by functional studies of polymorphisms identified in the coding region and 3′-flanking region (3′-FR) of PSMB5, the gene encoding the target for clinically useful proteasome inhibitors. Results: Resequencing of 240 DNA samples identified a series of novel ethnic-specific polymorphisms that are not represented in public databases. The PSMB5 3′-FR 1042 G allele significantly increased transcription during reporter gene studies, observations confirmed by genotype-phenotype correlations between single nucleotide polymorphisms (SNP) in PSMB5 and mRNA expression in the 240 lymphoblastoid cell lines from which the resequenced DNA was obtained. Studies with patient DNA samples identified additional novel PSMB5 polymorphisms, including a SNP and an insertion in the 3′-FR. Reporter-gene studies indicated that these two novel polymorphisms might decrease transcription. Conclusions: These results show that nonsynonymous coding SNPs in the PSMB5 gene did not show significant effects on proteasome activity, but SNPs did influence transcription. Future studies might focus on regulatory region polymorphisms.