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Dive into the research topics where Gregory D. Jenkins is active.

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Featured researches published by Gregory D. Jenkins.


Cancer Cell | 2009

FKBP51 Affects Cancer Cell Response to Chemotherapy by Negatively Regulating Akt

Huadong Pei; Liang Li; Brooke L. Fridley; Gregory D. Jenkins; Krishna R. Kalari; Wilma L. Lingle; Gloria M. Petersen; Zhenkun Lou; Liewei Wang

Akt is a central regulator of cell growth. Its activity can be negatively regulated by the phosphatase PHLPP that specifically dephosphorylates the hydrophobic motif of Akt (Ser473 in Akt1). However, how PHLPP is targeted to Akt is not clear. Here we show that FKBP51 (FK506-binding protein 51) acts as a scaffolding protein for Akt and PHLPP and promotes dephosphorylation of Akt. Furthermore, FKBP51 is downregulated in pancreatic cancer tissue samples and several cancer cell lines. Decreased FKBP51 expression in cancer cells results in hyperphosphorylation of Akt and decreased cell death following genotoxic stress. Overall, our findings identify FKBP51 as a negative regulator of the Akt pathway, with potentially important implications for cancer etiology and response to chemotherapy.


Biological Psychiatry | 2010

A genomewide association study of citalopram response in major depressive disorder.

Holly A. Garriock; Jeffrey B. Kraft; Stanley I. Shyn; Eric J. Peters; Jennifer S. Yokoyama; Gregory D. Jenkins; Megan S. Reinalda; Susan L. Slager; Steven P. Hamilton

BACKGROUND Antidepressant response is likely influenced by genetic constitution, but the actual genes involved have yet to be determined. We have carried out a genomewide association study to determine whether common DNA variation influences antidepressant response. METHODS Our sample is derived from Level 1 participants in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, all treated with citalopram. Association for the response phenotype included 883 responders and 608 nonresponders. For the remission phenotype, 743 subjects that achieved remission were compared with 608 nonresponders. We used a subset of single nucleotide polymorphisms (SNPs; n = 430,198) from the Affymetrix 500K and 5.0 Human SNP Arrays, and association analysis was carried out after correcting for population stratification. RESULTS We identified three SNPs associated with response with p values less than 1 x 10(-5) near the UBE3C gene (rs6966038, p = 4.65 x 10(-7)), another 100 kb away from BMP7 (rs6127921, p = 3.45 x 10(-6)), and a third that is intronic in the RORA gene (rs809736, p = 8.19 x 10(-6)). These same SNPs were also associated with remission. Thirty-nine additional SNPs are of interest with p values < or = .0001 for the response and remission phenotypes. CONCLUSIONS Although the findings reported here do not meet a genomewide threshold for significance, the regions identified from this study provide targets for independent replication and novel pathways to investigate mechanisms of antidepressant response. This study was not placebo controlled, making it possible that we are also observing associations to nonspecific aspects of drug treatment of depression.


Journal of Clinical Oncology | 2010

Genome-Wide Associations and Functional Genomic Studies of Musculoskeletal Adverse Events in Women Receiving Aromatase Inhibitors

James N. Ingle; Daniel J. Schaid; Paul E. Goss; Mohan Liu; Taisei Mushiroda; Judy Anne W Chapman; Michiaki Kubo; Gregory D. Jenkins; Anthony Batzler; Lois Shepherd; Joseph L. Pater; Liewei Wang; Matthew J. Ellis; Vered Stearns; Daniel C. Rohrer; Matthew P. Goetz; Kathleen I. Pritchard; David A. Flockhart; Yusuke Nakamura; Richard M. Weinshilboum

PURPOSE We performed a case-control genome-wide association study (GWAS) to identify single nucleotide polymorphisms (SNPs) associated with musculoskeletal adverse events (MS-AEs) in women treated with aromatase inhibitors (AIs) for early breast cancer. PATIENTS AND METHODS A nested case-control design was used to select patients enrolled onto the MA.27 phase III trial comparing anastrozole with exemestane. Cases were matched to two controls and were defined as patients with grade 3 or 4 MS-AEs (according to the National Cancer Institutes Common Terminology Criteria for Adverse Events v3.0) or those who discontinued treatment for any grade of MS-AE within the first 2 years. Genotyping was performed with the Illumina Human610-Quad BeadChip. RESULTS The GWAS included 293 cases and 585 controls. A total of 551,358 SNPs were analyzed, followed by imputation and fine mapping of a region of interest on chromosome 14. Four SNPs on chromosome 14 had the lowest P values (2.23E-06 to 6.67E-07). T-cell leukemia 1A (TCL1A) was the gene closest (926-7000 bp) to the four SNPs. Functional genomic studies revealed that one of these SNPs (rs11849538) created an estrogen response element and that TCL1A expression was estrogen dependent, was associated with the variant SNP genotypes in estradiol-treated lymphoblastoid cells transfected with estrogen receptor alpha and was directly related to interleukin 17 receptor A (IL17RA) expression. CONCLUSION This GWAS identified SNPs associated with MS-AEs in women treated with AIs and with a gene (TCL1A) which, in turn, was related to a cytokine (IL17). These findings provide a focus for further research to identify patients at risk for MS-AEs and to explore the mechanisms for these adverse events.


The Annals of Thoracic Surgery | 2001

Empyema and bronchopleural fistula after pneumonectomy: factors affecting incidence

Claude Deschamps; Alain Bernard; Francis C. Nichols; Mark S. Allen; Daniel L. Miller; Victor F. Trastek; Gregory D. Jenkins; Peter C. Pairolero

BACKGROUND Factors affecting the incidence of empyema and bronchopleural fistula (BPF) after pneumonectomy were analyzed. METHODS All patients who underwent pneumonectomy at the Mayo Clinic in Rochester, Minnesota, from January 1985 to September 1998 were reviewed. There were 713 patients (514 males and 199 females). Ages ranged from 12 to 86 years (median 64 years). Indication for resection was primary malignancy in 607 patients (85.1%), metastatic disease in 32 (4.5%), and benign disease in 74 (10.4%). One hundred fifteen patients (16.1%) underwent completion pneumonectomy. Factors affecting the incidence of postoperative empyema and BPF were analyzed using univariate and multivariate analysis. RESULTS Empyema was documented in 53 patients (7.5%; 95% confidence interval [CI], 5.7% to 9.7%) and a BPF in 32 (4.5%; 95% CI, 3.1% to 6.3%). Univariate analysis demonstrated that the development of empyema was adversely affected by benign disease (p = 0.0001), lower preoperative forced expiratory volume in 1 second (FEV1; p < 0.01) and diffusion capacity of lung to carbon monoxide (DLCO; p = 0.0001), lower preoperative serum hemoglobin (p = 0.05), right pneumonectomy (p = 0.0109), bronchial stump reinforcement (p = 0.007), completion pneumonectomy (p < 0.01), timing of chest tube removal (p = 0.01), and the amount of blood transfusions (p < 0.01). Similarly, the development of BPF was significantly associated with benign disease (p = 0.03), lower preoperative FEV1 (p = 0.03) and DLCO (p = 0.01), right pneumonectomy (p < 0.0001), bronchial stump reinforcement (p = 0.03), timing of chest tube removal (p = 0.004), increased intravenous fluid in the first 12 hours (p = 0.04), and blood transfusions (p = 0.04). Bronchial stump closure with staples had a protective effect against BPF compared with suture closure (p = 0.009). No risk factors were identified as being jointly significant in multivariate analysis. CONCLUSIONS Multiple perioperative factors were associated with an increased incidence of empyema and BPF after pneumonectomy. Prophylactic reinforcement of the bronchial stump with viable tissue may be indicated in those patients suspected at higher risk for either empyema or BPF.


Leukemia & Lymphoma | 2008

Comorbid conditions and survival in unselected, newly diagnosed patients with chronic lymphocytic leukemia

Paul J. Thurmes; Timothy G. Call; Susan L. Slager; Clive S. Zent; Gregory D. Jenkins; Susan M. Schwager; Deborah J. Bowen; Neil E. Kay; Tait D. Shanafelt

Little is known about the spectrum or frequency of comorbidities in patients with chronic lymphocytic leukemia (CLL). We investigated the prevalence and prognostic implications of comorbidities in patients with newly diagnosed CLL. Local/non-referred patients with CLL evaluated by a hematologist at Mayo Clinic within 1 year of diagnosis were eligible for this retrospective review. Of 1195 individuals evaluated for newly-diagnosed CLL between 1995 and 2006, 373 (31%) were local/non-referred. At diagnosis, 89% of these patients had one or more comorbidities, and 46% had at least one major comorbidity. Twenty-six percent of patients failed to meet NCI working group guidelines to participate in a clinical trial. On multi-factor analysis, Rai risk category (1.39 per each risk category increase; p < 0.0001) and age (1.056 per year increase; p < 0.0001) were the only factors associated with overall survival. We conclude that, although common, comorbid conditions are less important than age and stage in predicting prognosis in newly diagnosed patients with CLL. Clinical trials evaluating treatments that are designed to be tolerated by patients who do not meet traditional clinical trial eligibility criteria are needed.


Clinical Pharmacology & Therapeutics | 2011

Glycine and a glycine dehydrogenase (GLDC) SNP as citalopram/escitalopram response biomarkers in depression: pharmacometabolomics-informed pharmacogenomics.

Yuan Ji; Scott J. Hebbring; Hongjie Zhu; Gregory D. Jenkins; Joanna M. Biernacka; Karen Snyder; Maureen S. Drews; Oliver Fiehn; Zhao-Bang Zeng; Daniel J. Schaid; David A. Mrazek; Rima Kaddurah-Daouk; Richard M. Weinshilboum

Major depressive disorder (MDD) is a common psychiatric disease. Selective serotonin reuptake inhibitors (SSRIs) are an important class of drugs used in the treatment of MDD. However, many patients do not respond adequately to SSRI therapy. We used a pharmacometabolomics‐informed pharmacogenomic research strategy to identify citalopram/escitalopram treatment outcome biomarkers. Metabolomic assay of plasma samples from 20 escitalopram remitters and 20 nonremitters showed that glycine was negatively associated with treatment outcome (P = 0.0054). This observation was pursued by genotyping tag single‐nucleotide polymorphisms (SNPs) for genes encoding glycine synthesis and degradation enzymes, using 529 DNA samples from SSRI‐treated MDD patients. The rs10975641 SNP in the glycine dehydrogenase (GLDC) gene was associated with treatment outcome phenotypes. Genotyping for rs10975641 was carried out in 1,245 MDD patients in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, and its presence was significant (P = 0.02) in DNA taken from these patients. These results highlight a possible role for glycine in SSRI response and illustrate the use of pharmacometabolomics to “inform” pharmacogenomics.


Genome Research | 2010

Radiation pharmacogenomics: A genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines

Nifang Niu; Yuxin Qin; Brooke L. Fridley; Junmei Hou; Krishna R. Kalari; Minjia Zhu; Tse Yu Wu; Gregory D. Jenkins; Anthony Batzler; Liewei Wang

Radiation therapy is used to treat half of all cancer patients. Response to radiation therapy varies widely among patients. Therefore, we performed a genome-wide association study (GWAS) to identify biomarkers to help predict radiation response using 277 ethnically defined human lymphoblastoid cell lines (LCLs). Basal gene expression levels and 1.3 million genome-wide single nucleotide polymorphism (SNP) markers from both Affymetrix and Illumina platforms were assayed for all 277 human LCLs. MTS [3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium] assays for radiation cytotoxicity were also performed to obtain area under the curve (AUC) as a radiation response phenotype for use in the association studies. Functional validation of candidate genes, selected from an integrated analysis that used SNP, expression, and AUC data, was performed with multiple cancer cell lines using specific siRNA knockdown, followed by MTS and colony-forming assays. A total of 27 loci, each containing at least two SNPs within 50 kb with P-values less than 10(-4) were associated with radiation AUC. A total of 270 expression probe sets were associated with radiation AUC with P < 10(-3). The integrated analysis identified 50 SNPs in 14 of the 27 loci that were associated with both AUC and the expression of 39 genes, which were also associated with radiation AUC (P < 10(-3)). Functional validation using siRNA knockdown in multiple tumor cell lines showed that C13orf34, MAD2L1, PLK4, TPD52, and DEPDC1B each significantly altered radiation sensitivity in at least two cancer cell lines. Studies performed with LCLs can help to identify novel biomarkers that might contribute to variation in response to radiation therapy and enhance our understanding of mechanisms underlying that variation.


The Annals of Thoracic Surgery | 2002

Completion pneumonectomy: factors affecting operative mortality and cardiopulmonary morbidity

Daniel L. Miller; Claude Deschamps; Gregory D. Jenkins; Alain Bernard; Mark S. Allen; Peter C. Pairolero

BACKGROUND The purpose of this report is to analyze preoperative and perioperative factors affecting operative mortality and cardiopulmonary morbidity after a completion pneumonectomy. METHODS We retrospectively reviewed all patients who underwent completion pneumonectomy from January 1985 through September 1998 at the Mayo Clinic in Rochester, MN. Factors affecting operative mortality and postoperative morbidity and were analyzed using univariate and multivariate analysis. RESULTS There were 115 patients (73 men and 42 women), with a median age of 64 years (range, 12 to 83 years). Indication for pneumonectomy was benign disease in 57 patients (49.6%), lung cancer in 51 (44.3%) and metastatic disease in 7 (6.1%). There were 24 deaths (mortality 20.9%, 95% CI 13.9% to 29.4%). Mortality for patients undergoing completion pneumonectomy for benign disease, lung cancer, and metastatic cancer was 26.3%, 17.6%, and 0%, respectively (p = 0.24). Factors adversely affecting mortality with univariate analysis included advanced age (p = 0.004), preoperative corticosteriod use (p = 0.01), decreased preoperative diffusion capacity of lung to carbon monoxide (p = 0.01), intraoperative blood transfusion (p = 0.04), and excessive crystalloid infusion within the first 12 hours (p = 0.01) and 24 hours (0.03) postoperatively, respectively. Factors adversely affecting mortality with multivariate analysis included advanced age (p = 0.001), preoperative corticosteriod use (p = 0.002), and low preoperative hemoglobin (p = 0.02). Cardiopulmonary complications occurred in 72 patients (63.7%). Factors adversely affecting morbidity with univariate analysis included benign disease (p = 0.002), decreased preoperative diffusion capacity of lung to carbon monoxide (p = 0.04), bronchial stump reinforcement (p = 0.0001), and excessive crystalloid infusion within the first 12 hours (p = 0.006) and 24 hours (p = 0.02) postoperatively, respectively. Factors adversely affecting morbidity with multivariate analysis included advanced age (p = 0.005) and bronchial stump reinforcement (p = 0.001). CONCLUSIONS Multiple factors adversely affect operative mortality and cardiopulmonary morbidity after completion pneumonectomy. Although completion pneumonectomy remains a high-risk procedure, especially for benign disease, it still should be considered a treatment option in selected patients.


PLOS ONE | 2009

Gemcitabine and Arabinosylcytosin Pharmacogenomics: Genome-Wide Association and Drug Response Biomarkers

Liang Li; Brooke L. Fridley; Krishna R. Kalari; Gregory D. Jenkins; Anthony Batzler; Richard M. Weinshilboum; Liewei Wang

Cancer patients show large individual variation in their response to chemotherapeutic agents. Gemcitabine (dFdC) and AraC, two cytidine analogues, have shown significant activity against a variety of tumors. We previously used expression data from a lymphoblastoid cell line-based model system to identify genes that might be important for the two drug cytotoxicity. In the present study, we used that same model system to perform a genome-wide association (GWA) study to test the hypothesis that common genetic variation might influence both gene expression and response to the two drugs. Specifically, genome-wide single nucleotide polymorphisms (SNPs) and mRNA expression data were obtained using the Illumina 550K® HumanHap550 SNP Chip and Affymetrix U133 Plus 2.0 GeneChip, respectively, for 174 ethnically-defined “Human Variation Panel” lymphoblastoid cell lines. Gemcitabine and AraC cytotoxicity assays were performed to obtain IC50 values for the cell lines. We then performed GWA studies with SNPs, gene expression and IC50 of these two drugs. This approach identified SNPs that were associated with gemcitabine or AraC IC50 values and with the expression regulation for 29 genes or 30 genes, respectively. One SNP in IQGAP2 (rs3797418) was significantly associated with variation in both the expression of multiple genes and gemcitabine and AraC IC50. A second SNP in TGM3 (rs6082527) was also significantly associated with multiple gene expression and gemcitabine IC50. To confirm the association results, we performed siRNA knock down of selected genes with expression that was associated with rs3797418 and rs6082527 in tumor cell and the knock down altered gemcitabine or AraC sensitivity, confirming our association study results. These results suggest that the application of GWA approaches using cell-based model systems, when combined with complementary functional validation, can provide insights into mechanisms responsible for variation in cytidine analogue response.


Clinical Cancer Research | 2011

Genetic variation predicting cisplatin cytotoxicity associated with overall survival in lung cancer patients receiving platinum-based chemotherapy ,

Xiang Lin Tan; Ann M. Moyer; Brooke L. Fridley; Daniel J. Schaid; Nifang Niu; Anthony Batzler; Gregory D. Jenkins; Ryan Abo; Liang Li; Julie M. Cunningham; Zhifu Sun; Ping Yang; Liewei Wang

Purpose: Inherited variability in the prognosis of lung cancer patients treated with platinum-based chemotherapy has been widely investigated. However, the overall contribution of genetic variation to platinum response is not well established. To identify novel candidate single nucleotide polymorphisms (SNP)/genes, we carried out a genome-wide association study (GWAS) for cisplatin cytotoxicity by using lymphoblastoid cell lines (LCL), followed by an association study of selected SNPs from the GWAS with overall survival (OS) in lung cancer patients. Experimental Design: A GWAS for cisplatin was conducted with 283 ethnically diverse LCLs. A total of 168 top SNPs were genotyped in 222 small cell lung cancer (SCLC) and 961 non-SCLC (NSCLC) patients treated with platinum-based therapy. Association of the SNPs with OS was determined by using the Cox regression model. Selected candidate genes were functionally validated by siRNA knockdown in human lung cancer cells. Results: Among 157 successfully genotyped SNPs, 9 and 10 SNPs were top SNPs associated with OS for patients with NSCLC and SCLC, respectively, although they were not significant after adjusting for multiple testing. Fifteen genes, including 7 located within 200 kb up or downstream of the 4 top SNPs and 8 genes for which expression was correlated with 3 SNPs in LCLs were selected for siRNA screening. Knockdown of DAPK3 and METTL6, for which expression levels were correlated with the rs11169748 and rs2440915 SNPs, significantly decreased cisplatin sensitivity in lung cancer cells. Conclusions: This series of clinical and complementary laboratory-based functional studies identified several candidate genes/SNPs that might help predict treatment outcomes for platinum-based therapy of lung cancer. Clin Cancer Res; 17(17); 5801–11. ©2011 AACR.

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Yuan Ji

NorthShore University HealthSystem

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