Citations

The Food and Drug Administration has not cleared the following medical devices for the use described in this study. The following medical devices are being discussed for an off-label use: cervical lateral mass screws. Object As an alternative for cases in which the anatomy and spatial relationship between C-2 and a vertebral artery precludes insertion of C-2 pedicle/pars or C1–2 transarticular screws, a technique that includes opposing laminar hooks (claw) at C-2 combined with C-1 lateral mass screws may be used. The biomechanical stability of this alternate technique was compared with that of a standard screw-rod technique in vitro. Methods Flexibility tests were performed in 7 specimens (occiput to C-3) in the following 6 different conditions: 1) intact; 2) after creating instability and attaching a posterior cable/graft at C1–2; 3) after removing the graft and attaching a construct comprising C-1 lateral mass screws and C-2 laminar claws; 4) after reattaching the posterior cable-graft at C1–2 (posterior hardware still in place); 5) after removing the posterior cable-graft and laminar hooks and placing C-2 pedicle screws interconnected to C-1 lateral mass screws via rod; and 6) after reattaching the posterior cable-graft at C1–2 (screw-rod construct still in place). Results All types of stabilization significantly reduced the range of motion, lax zone, and stiff zone compared with the intact condition. There was no significant biomechanical difference in terms of range of motion or lax zone between the screw-rod construct and the screw-claw-rod construct in any direction of loading. Conclusions The screw-claw-rod technique restricts motion much like the standard Harms technique, making it an acceptable alternative technique when aberrant arterial anatomy precludes the placement of C-2 pars/pedicle screws or C1–2 transarticular screws.

Abstract DNA methylation profiles could signify the risk of prostate cancer and predict the progression of cancer before the appearance of clinical symptoms. Specific CpG sites methylation of genes identified in our study could be used to improve the sensitivity and specificity for early diagnosis and to predict the risk of prostate cancer recurrence. To identify methylation changes associated with prostate cancer, we measured gene methylation using the Infinium Human Methylation27 bead chips. Tissue DNA isolation and bisulfite conversion was done using ZR Genomic DNA kit and EZ methylation kit. The methylation27 microarrays was used to analyze methylation of 27,578 CpG sites of 14,495 genes in 198 tumor tissues and 40 matched normal tissues. Methylation data was processed using the Genome Studio software, differentially methylated genes identified using one-way analysis of variance, and correction for multiple testing done using the false discovery rate q-value. To identify putative diagnostic and prognostic biomarkers we performed four subgroup comparisons: tumor vs. matched normal, recurrent tumors vs. non-recurrent tumors, clinical recurrence vs. biochemical recurrence, and systemic recurrence vs. local recurrence. Clinicopathological and molecular features including patient preoperative PSA levels, Gelason score, TNM stage, GPSM, recurrence type, were also evaluated for subgroup discrimination. Discriminative subgroup candidate methlyation markers were selected using a p value <0.05 and a mean difference between two contrast groups >0.05. Between the tumor and matched normal tissue samples, 164 CpG sites representing 147 genes were identified as significantly differentially methylated (p<9.99E-25, fold change>2.0). Between recurrent tumor and non-recurrent tumor tissues there were 78 CpG sites representing 75 genes that were significantly differentially methylated (p <0.002, fold change >1.5). Between clinically recurrent and biochemically recurrent tumors, 16 CpG sites representing 16 genes were significantly differentially methylated (p <0.05, fold change >1.5). Between systemic recurrent and local recurrent tumors there were 73 CpG sites representing 68 genes that were significantly differentially methylated (p <0.01, fold change >1.5) Our analysis revealed differential methylation of the genes, implicating their role in prostate cancer development and progression. We demonstrated that the hypermethylation of genes could be used as a sensitive molecular tool in detection of prostate tumorigenesis and prediction of tumor progression. 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 109. doi:10.1158/1538-7445.AM2011-109

Abstract Lung adenocarcinoma is the most common type of primary lung cancer. Previous studies have shown that gene expression signatures may predict clinical outcome. In this study, we used a systems biology approach, weighted gene co-expression network analysis (WGCNA), to identify survival related networks and gene signatures. We first analyzed whole genome gene expression profiles in 82 lung adenocarcinoma tumor tissues from never smokers (smoked <100 cigarettes lifetime) and found a significant correlation of an expression module with tumor grade of differentiation (r=0.38, p=4×10−4) and overall survival (OS, p =0.027, HR, 1.71; 95% CI, 1.06-2.74) after adjusting for potential confounders (age and tumor grade). When this module signature was incorporated and compared to the conventional model consisting of clinical variables only, the survival prediction accuracy was increased from 0.70 to 0.75. Gene Ontology (GO) enrichment analysis indicated this module was significantly enriched in biological process GO term “cell cycle” (p = 2.1×10−53). To explore the effect of this network module at germline level, we performed the WGCNA on normal lung tissues derived from 78 of the 82 patients and observed significant association of an expression module with OS (adjusted p=3×10−4, HR=1.98; 95% CI, 1.36-2.87). Interestingly, this module was also significantly enriched in cell cycle-related genes (p=4.1×10−41). To further validate this result, we analyzed an independent microarray gene expression dataset including 442 lung adenocarcinoma patients from NCI Director's Challenge Consortium. We found the same association: the cell cycle-enriched module was correlated with tumor grade of cell differentiation (r=0.55, p-value=5×10−37) and OS (adjusted p=7.4×10−3; HR, 1.20; 95% CI, 1.05-1.37). We further identified 30 genes in the OS-related module that overlapped between the discovery and validation data sets. Furthermore, all these 30 genes were found to be up-regulated in adenocarcinoma compared to adjacent normal lung tissues in the discovery data set. Of the 30 genes, three key genes, UBE2C, TPX2 and MELK, were identified with highest connectivity in cell cycle-enriched module; their expression levels were significantly associated with OS in both discovery and validation sets. UBE2C and TPX2 have been reported as gene signatures for human lung cancer prognosis in vitro lung carcinogenesis system; MELK was identified as a key regulator of the proliferation of malignant brain tumors and malignant grade in human astrocytomas, and was also associated with breast cancer prognosis. Our results suggest that genes involved in cell-cycle are likely related with tumor aggressiveness and therefore can predict survival in lung adenocarcinoma. Further studies are needed to validate the key genes that could improve survival prediction and provide potential new targets to intervene progression of lung adenocarcinoma. 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 5060. doi:10.1158/1538-7445.AM2011-5060

Abstract There are a number of human genes which span very large chromosomal regions. Forty genes span greater than 1 megabase and 200 are 500 Kb or larger. We and others have demonstrated that many of the largest genes are derived from within regions of profound genomic instability known as common fragile sites (CFSs). We have been studying oropharyngeal cancers which are derived from the base of tongue, tonsil and larynx. While the traditional etiologic factors underlying the development of this aggressive cancer is a history of smoking and drinking there are an increasing number of younger patients developing this cancer without these risk factors. The most likely cause of these cancers is the presence of human papillomavirus which we detect in over 90% of oropharyngeal cancers derived from the Mayo Clinic. In an attempt to better understand the molecular alterations that underlie oropharyngeal cancers arising from different risk factors we utilized the power of Next Generation sequencing on the Illumina GA IIx to compare the transcriptomes of 12 oropharyngeal cancers to patient matched normal tissue. We first observe a division of patients into two groups of oropharyngeal cancers: those caused by mutations and other alterations induced by a history of smoking and drinking and those associated with HPV infection caused by viral-induced genomic instability. We then examined the expression of the 200 largest human genes in the oropharyngeal tumors and find that each tumor has inactivated the expression of at least 20 different very large genes. There is a distinct pattern of inactivation of these genes in different oropharyngeal cancers depending upon the underlying etiology. Some of the genes most frequently inactivated include Dlg2 (the human homolog of the large discs tumor suppressor gene from drosophila and a mutation target in a number of other cancers); ERBB4 (Her4 and a member of the EGFR family), BAI3 (a brain specific angiogenesis inhibitor that is also mutated in multiple cancers), and ANK2 (mutated in long QT patients). Each of these genes may be functioning as tumor suppressors as has already been demonstrated for the two large CFS genes, FHIT and WWOX. The inactivation of so many of these genes in each oropharyngeal tumor may have a profound effect upon the phenotype of the resulting tumor. When we examine the expression of the large genes most frequently inactivated in each of the two groups of oropharyngeal cancers in panels of breast or lung cancer samples we find that we do not detect significant loss of expression of these genes. We believe that genomic instability promotes alterations in the unstable CFS regions but that there is selective inactivation of different large CFS genes in different cancers. The signature of which specific genes are inactivated may have phenotypic and clinical significance which we are just beginning to investigate. 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 3885. doi:10.1158/1538-7445.AM2011-3885

Abstract There is considerable clinical interest in the role that human papillomavirus (HPV) plays in the development of oropharyngeal cancers. A variety of assays are currently available to stratify patients based on HPV status prior to treatment. The most frequently utilized are PCR and In Situ hybridization (ISH) to detect the presence of HPV DNA sequences. The increasing clinical interest in determining HPV patient status relates to compelling evidence that a subset of patients with HPV positive tumors have better clinical outcomes. Evidence also suggests that patients with HPV positive tumors should be further divided into groupings based on levels of viral activity and that this may represent additional clinical information necessary to develop appropriate treatment plans. The most frequently applied assay to identify HPV activity in a patient sample is to detect the over-expression of the surrogate protein marker p16 by Immunohistochemisty (IHC), which has been shown to increase expression in response to HPV active infections in oropharyngeal cancer. An alternative technique to quantitatively detect the presence and level of transcriptional activity of HPV in tissue samples is to measure the expression of oncogenes E6 and E7. We have analyzed the fresh frozen tissue samples corresponding to matched tumor, normal and metastatic patient tissues using a quantitative PCR (qPCR) approach to determine the expression of HPV oncogenes and p16 gene expression. We observed that there are three groups of oropharyngeal tumors when grouped by HPV16 E6 and E7 gene expression. The first are the most rare and are tumors that contain no HPV sequences or expression of the E6 and E7 ocogenes. The second are tumors that contain HPV DNA sequences but very low expression of E6 or E7 and the third are tumors that contain HPV DNA sequence and robust expression of E6 and E7. Additionally, we found variable correlation between HPV16 E6 and E7 expression and p16 gene expression, suggesting that factors other than HPV oncogene expression may influence the expression of p16. Our results would indicate that the best assays for quantifying the activity of an HPV infection in oropharyngeal cancers would be those optimized to accurately measure either E6 and E7 transcripts or their protein products directly out of paraffin-embedded tissues. 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 3859. doi:10.1158/1538-7445.AM2011-3859

Abstract Background: The hedgehog pathway is dysregulated in basal cell carcinoma, medulloblastoma, pancreatic, lung, gastric, and a variety of other cancers. BMS-833923 is a potent, oral, small molecule antagonist of hedgehog signaling. Methods: Subjects with advanced or metastatic solid tumors were enrolled into a multiple ascending dose study to identify a maximum tolerated dose and evaluate safety, tolerability, pharmacokinetics (PK), and pharmacodynamics of BMS-833923. All subjects receive a single dose one week prior to continuous daily dosing. The single dose window allows for single dose PK collection for one week. To identify the pharmacologically active dose range surrogate tissue was collected prior to Day 1 and again on Day 22 of the first cycle. Results: As of August 14, 2009 sixteen subjects have been treated at four dose levels: 30 mg (n=5), 60 mg (n=3), 120 mg (n=3), and 240 mg (n=5); with mean patient age of 56 (range 21–78) and ECOG performance 0–1. No subjects in the first three dose cohorts experienced drug-related CTCAE AEs greater than Grade 2. One subject with medulloblastoma in the 30 mg dose cohort continues on study for more than 10 months with stable disease. Treatment of patients in the fourth cohort at 240 mg continuous daily dosing is still on-going. In this cohort one subject experienced drug-related CTCAE Grade 2 lipase elevation and pancreatitis that quickly resolved when drug was withheld. This subject has a diagnosis of Gorlin Syndrome, which is caused by germline mutations in the hedgehog pathway genes Patched or Smoothened. This subject experienced a partial response (PR) that is still ongoing. BMS-833923 PK properties showed dose proportionality between the 30, 60, and 120 mg dose cohorts with a Cmax of 30 ng/ml, 56 ng/ml and 102 ng/ml respectively. The terminal half-life was greater than 7 days and drug accumulations were observed. Conclusion: BMS-833923 is generally well tolerated at daily doses of 30, 60, 120 mg. Citation Information: Mol Cancer Ther 2009;8(12 Suppl):A55.

Abstract Summary: Reduced representation bisulfite sequencing (RRBS) is a cost-effective approach for genome-wide methylation pattern profiling. Analyzing RRBS sequencing data is challenging and specialized alignment/mapping programs are needed. Although such programs have been developed, a comprehensive solution that provides researchers with good quality and analyzable data is still lacking. To address this need, we have developed a Streamlined Analysis and Annotation Pipeline for RRBS data (SAAP-RRBS) that integrates read quality assessment/clean-up, alignment, methylation data extraction, annotation, reporting and visualization. This package facilitates a rapid transition from sequencing reads to a fully annotated CpG methylation report to biological interpretation. Availability and implementation: SAAP-RRBS is freely available to non-commercial users at the web site http://ndc.mayo.edu/mayo/research/biostat/stand-alone-packages.cfm. Contact: baheti.saurabh@mayo.edu or sun.zhifu@mayo.edu Supplementary Information: Supplementary data are available at Bioinformatics online.