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Ho TH, Serie DJ, Parasramka M, Cheville JC, Bot BM, Tan W, Wang L, Joseph RW, Hilton T, Leibovich BC, Parker AS, Eckel-Passow JE. Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes. Ann Oncol 2017; 28:604-610. [PMID: 27993815 DOI: 10.1093/annonc/mdw652] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Background The majority of renal cell carcinoma (RCC) studies analyze primary tumors, and the corresponding results are extrapolated to metastatic RCC tumors. However, it is unknown if gene expression profiles from primary RCC tumors differs from patient-matched metastatic tumors. Thus, we sought to identify differentially expressed genes between patient-matched primary and metastatic RCC tumors in order to understand the molecular mechanisms underlying the development of RCC metastases. Patients and methods We compared gene expression profiles between patient-matched primary and metastatic RCC tumors using a two-stage design. First, we used Affymetrix microarrays on 15 pairs of primary RCC [14 clear cell RCC (ccRCC), 1 papillary] tumors and patient-matched pulmonary metastases. Second, we used a custom NanoString panel to validate seven candidate genes in an independent cohort of 114 ccRCC patients. Differential gene expression was evaluated using a mixed effect linear model; a random effect denoting patient was included to account for the paired data. Third, The Cancer Genome Atlas (TCGA) data were used to evaluate associations with metastasis-free and overall survival in primary ccRCC tumors. Results We identified and validated up regulation of seven genes functionally involved in the formation of the extracellular matrix (ECM): DCN, SLIT2, LUM, LAMA2, ADAMTS12, CEACAM6 and LMO3. In primary ccRCC, CEACAM6 and LUM were significantly associated with metastasis-free and overall survival (P < 0.01). Conclusions We evaluated gene expression profiles using the largest set to date, to our knowledge, of patient-matched primary and metastatic ccRCC tumors and identified up regulation of ECM genes in metastases. Our study implicates up regulation of ECM genes as a critical molecular event leading to visceral, bone and soft tissue metastases in ccRCC.
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Affiliation(s)
- T H Ho
- Division of Hematology and Medical Oncology, Mayo Clinic, Scottsdale, USA
| | - D J Serie
- Departments of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | | | - J C Cheville
- Laboratory Medicine and Pathology, Mayo Clinic, Rochester, NY, USA
| | - B M Bot
- Computational Oncology, Sage Bionetworks, Seattle, USA
| | - W Tan
- Division of Hematology/Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - L Wang
- Department of Pathology, Medical College of Hebei University of Engineering, Handan, Hebei Province, China
| | - R W Joseph
- Division of Hematology/Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - T Hilton
- Departments of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | | | - A S Parker
- Departments of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - J E Eckel-Passow
- Department of Pathology, Medical College of Hebei University of Engineering, Handan, Hebei Province, China
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Pekmezci M, Rice T, Molinaro AM, Hansen HM, McCoy LS, Tihan T, Giannini C, Eckel-Passow JE, Lachance DH, Wiencke JK, Jenkins RB, Wrensch MR. OS07.8 Adult infiltrating giomas with WHO 2016 integrated diagnosis: additional prognostic roles of ATRX and TERT. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox036.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Walsh KM, Walsh KM, Codd V, Smirnov IV, Rice T, Decker PA, Hansen HM, Kollmeyer T, Kosel ML, Molinaro AM, McCoy LS, Bracci PM, Cabriga BS, Pekmezci M, Zheng S, Wiemels JL, Pico AR, Tihan T, Berger MS, Chang SM, Prados MD, Lachance DH, O'Neill BP, Sicotte H, Eckel-Passow JE, van der Harst P, Wiencke JK, Samani NJ, Jenkins RB, Wrensch MR. TELOMERE LENGTH VARIANTS ARE ASSOCIATED WITH HIGH-GRADE GLIOMA RISK: IDENTIFICATION OF A NOVEL GLIOMA RISK LOCUS BY GENOME-WIDE ASSOCIATION STUDY. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou206.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Bie L, Li Y, Yuan H, Bondy M, Bainbridge M, Jhangiani S, Jalali A, Plon SE, Armstrong G, Bernstein J, Claus E, Davis F, Houlston R, Il'yasova D, Jenkins R, Johansen C, Lachance D, Lai R, Lau C, Merrell R, Olson S, Sadetzki S, Schildkraut J, Shete S, Barnholtz-Sloan J, Wrensch M, Consortium TG, Melin B, Gibbs RA, Haberler C, Czech T, Chocholous M, Dorfer C, Slavc I, Hayashi S, Sasaki H, Kimura T, Nakamura T, Miwa T, Hirose Y, Yoshida K, Jalali A, Bainbridge M, Jhangiani S, Plon SE, Armstrong G, Bernstein J, Claus E, Davis F, Houlston R, Il'yasova D, Jenkins R, Johansen C, Lachance D, Lai R, Lau C, Merrell R, Olson SH, Sadetzki S, Schildkraut J, Shete S, Barnholtz-Sloan J, Wrensch M, Melin B, Gibbs RA, Bondy M, Jenkins R, Wrensch M, Kollmeyer T, Armstrong G, Olson S, Lai R, Lachance D, Lau C, Claus E, Barnholtz-Sloan J, Il'yasova D, Schildkraut J, Houlston R, Shete S, Bernstein J, Davis F, Merrell R, Johansen C, Sadetzki S, Consortium TG, Melin B, Bondy M, Palmer J, Li J, Kenyon L, Andrews D, Kim L, Glass J, Werner-Wasik M, Shi W, Takayanagi S, Mukasa A, Aihara K, Saito K, Otani R, Tanaka S, Nakatomi H, Aburatani H, Ichimura K, Ueki K, Saito N, Walsh KM, Decker PA, Eckel-Passow JE, Molinaro AM, Hansen HM, Rice T, Zheng S, Kollmeyer T, Berger MS, Chang SM, Prados MD, Rynearson A, Caron A, Kosel ML, Lachance DH, O'Neill BP, Giannini C, Wiencke JK, Jenkins RB, Wrensch MR, Wang Z, Bao Z, Jiang T, Wang Z, Bao Z, Jiang T. MOLECULAR EPIDEMIOLGOY. Neuro Oncol 2013. [DOI: 10.1093/neuonc/not180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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McDonnell SK, Riska SM, Klee EW, Thorland EC, Kay NE, Thibodeau SN, Parker AS, Eckel-Passow JE. Experimental designs for array comparative genomic hybridization technology. Cytogenet Genome Res 2013; 139:250-7. [PMID: 23548696 DOI: 10.1159/000348815] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2012] [Indexed: 01/31/2023] Open
Abstract
Array comparative genomic hybridization (aCGH) technology is commonly used to estimate genome-wide copy-number variation and to evaluate associations between copy number and disease. Although aCGH technology is well developed and there are numerous algorithms available for estimating copy number, little attention has been paid to the important issue of the statistical experimental design. Herein, we review classical statistical experimental designs and discuss their relevance to aCGH technology as well as their importance for downstream statistical analyses. Furthermore, we provide experimental design guidance for various study objectives.
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Affiliation(s)
- S K McDonnell
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minn 55905, USA
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Bie L, Zhao G, McClland M, Ju Y, Li PY, Zhou DJ, Jin Z, Bie L, Jenkins RB, Xiao Y, Sicotte H, Decker PA, Kollmeyer TM, Hansen HM, Kosel ML, Zheng S, Walsh KM, Rice T, Bracci P, Smirnov I, Patoka JF, Hsuang G, Wiemels JL, Tehan T, Pico AR, Prados MD, Berger MS, Caron AA, Fink SR, Halder C, Rynearson AL, Fridley BL, O'Neill BP, Giannini C, Lachance DH, Wienke JK, Eckel-Passow JE, Wrensch MR, Aref D, Perry A, Taylor M, Eberhardt C, Olson J, Moffatt C, Croul S, Maurice C, Belanger K, Berthelet F, Weng X, Amirian ES, Liu Y, Okada H, Sarkar SN, Bondy ML, Scheurer ME, Verhaak R, Liu Y, Amirian ES, Okada H, Sarkar S, Scheurer M, Bondy M, Liu Y, Melin B, Wang Z, Rajaraman P, Chanock S, Bondy M, Consortium G, Smith A, Accomando WP, Houseman EA, Marsit CJ, Weincke JK, Kelsey KT. LAB-MOLECULAR EPIDEMIOLOGY. Neuro Oncol 2012. [DOI: 10.1093/neuonc/nos225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Al-Hasan MN, Eckel-Passow JE, Baddour LM. Impact of healthcare-associated acquisition on community-onset Gram-negative bloodstream infection: a population-based study: healthcare-associated Gram-negative BSI. Eur J Clin Microbiol Infect Dis 2011; 31:1163-71. [PMID: 21983895 DOI: 10.1007/s10096-011-1424-6] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2011] [Accepted: 09/12/2011] [Indexed: 11/28/2022]
Abstract
We performed a population-based study to examine the influence of healthcare-associated acquisition on pathogen distribution, antimicrobial resistance, short- and long-term mortality of community-onset Gram-negative bloodstream infections (BSI). We identified 733 unique patients with community-onset Gram-negative BSI (306 healthcare-associated and 427 community-acquired) among Olmsted County, Minnesota, residents from 1 January 1998 to 31 December 2007. Multivariate logistic regression was used to examine the association between healthcare-associated acquisition and microbiological etiology and antimicrobial resistance. Multivariate Cox proportional hazards regression was used to evaluate the influence of the site of acquisition on mortality. Healthcare-associated acquisition was predictive of Pseudomonas aeruginosa (odds ratio [OR] 3.14, 95% confidence intervals [CI]: 1.59-6.57) and the group of Enterobacter, Citrobacter, and Serratia species (OR 2.23, 95% CI: 1.21-4.21) as causative pathogens of community-onset Gram-negative BSI. Healthcare-associated acquisition was also predictive of fluoroquinolone resistance among community-onset Gram-negative bloodstream isolates (OR 2.27, 95% CI: 1.18-4.53). Healthcare-associated acquisition of BSI was independently associated with higher 28-day (hazard ratio [HR] 3.73, 95% CI: 2.13-6.93) and 1-year mortality (HR 3.60, 95% CI: 2.57-5.15). Because of differences in pathogen distribution, antimicrobial resistance, and outcomes between healthcare-associated and community-acquired Gram-negative BSI, identification of patients with healthcare-associated acquisition of BSI is essential to optimize empiric antimicrobial therapy.
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Affiliation(s)
- M N Al-Hasan
- Department of Medicine, Division of Infectious Diseases, University of Kentucky Medical Center, 800 Rose Street, Lexington, KY 40536, USA.
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Abstract
Enterobacter species are the fourth most common cause of Gram-negative bloodstream infection (BSI). We examined temporal changes and seasonal variation in the incidence rate of Enterobacter spp. BSI, estimated 28-day and 1-year mortality, and determined in vitro antimicrobial resistance rates of Enterobacter spp. bloodstream isolates in Olmsted County, Minnesota, from 1 January 1998 to 31 December 2007. Multivariable Poisson regression was used to examine temporal changes and seasonal variation in incidence rate and Kaplan-Meier method was used to estimate 28-day and 1-year mortality. The median age of patients with Enterobacter spp. BSI was 58 years and 53% were female. The overall age- and gender-adjusted incidence rate of Enterobacter spp. BSI was 3.3 per 100,000 person-years (95% CI 2.3-4.4). There was a linear trend of increasing incidence rate from 0.8 (95% CI 0-1.9) to 6.2 (95% CI 3.0-9.3) per 100,000 person-years between 1998 and 2007 (p 0.002). There was no significant difference in the incidence rate of Enterobacter spp. BSI during the warmest 4 months compared to the remainder of the year (incidence rate ratio 1.06; 95% CI 0.47-2.01). The overall 28-day and 1-year mortality rates of Enterobacter spp. BSI were 21% (95% CI 8-34%) and 38% (95% CI 22-53%), respectively. Up to 13% of Enterobacter spp. bloodstream isolates were resistant to third-generation cephalosporins. To our knowledge, this is the first population-based study to describe the epidemiology and outcome of Enterobacter spp. BSI. The increase in incidence rate of Enterobacter spp. BSI over the past decade, coupled with its associated antimicrobial resistance, dictate the need for further investigation of this syndrome.
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Affiliation(s)
- M N Al-Hasan
- Department of Medicine, Division of Infectious Diseases, University of Kentucky, Lexington, KY 40536, USA.
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El Helou OC, Berbari EF, Lahr BD, Eckel-Passow JE, Razonable RR, Sia IG, Virk A, Walker RC, Steckelberg JM, Wilson WR, Hanssen AD, Osmon DR. Efficacy and safety of rifampin containing regimen for staphylococcal prosthetic joint infections treated with debridement and retention. Eur J Clin Microbiol Infect Dis 2010; 29:961-7. [PMID: 20505968 DOI: 10.1007/s10096-010-0952-9] [Citation(s) in RCA: 83] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2009] [Accepted: 04/28/2010] [Indexed: 12/20/2022]
Abstract
The aim of this study was to evaluate the efficacy and safety of rifampin for Staphylococcus aureus (SA) or coagulase negative staphylococci (CNS) prosthetic joint infection (PJI) treated with debridement and retention (D/R). We calculated the treatment failure cumulative incidence (TF) of a cohort of 101 patients with SA or CNS PJI treated with D/R and antimicrobial therapy. The effect of the use of a rifampin-based regimen was evaluated. Cox proportional hazards regression evaluated the association between treatment and time-to-TF controlling for the propensity to treat with rifampin and temporal confounders. Seven percent (1/14) of the prospective rifampin-treated patients, 32% (10/31) of the historical rifampin-treated patients and 38% (21/56) of the historical non-rifampin treated patients developed TF. After controlling for the propensity to treat with rifampin and American Society of Anesthesia scores, patients in the prospective cohort had a lower risk of TF compared to patients in the historical cohort not treated with rifampin (HR 0.11; 95%CI 0.01-0.84). None (0/14) of the patients in the prospective study developed hepatotoxicity. The outcome of staphylococcal PJI treated with D/R and rifampin-based regimens was better when compared with a historical cohort treated without rifampin.
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Affiliation(s)
- O C El Helou
- Division of Infectious Diseases, Department of Internal Medicine, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA
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Al-Hasan MN, Lahr BD, Eckel-Passow JE, Baddour LM. Seasonal variation in Escherichia coli bloodstream infection: a population-based study. Clin Microbiol Infect 2009; 15:947-50. [PMID: 19845704 DOI: 10.1111/j.1469-0691.2009.02877.x] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Seasonal variation in the rates of infection with certain Gram-negative organisms has been previously examined in tertiary-care centres. We performed a population-based investigation to evaluate the seasonal variation in Escherichia coli bloodstream infection (BSI). We identified 461 unique patients in Olmsted County, Minnesota, from 1 January 1998 to 31 December 2007, with E. coli BSI. Incidence rates (IR) and IR ratios were calculated using Rochester Epidemiology Project tools. Multivariable Poisson regression was used to examine the association between the IR of E. coli BSI and average temperature. The age- and gender-adjusted IR of E. coli BSI per 100 000 person-years was 50.2 (95% CI 42.9-57.5) during the warmest 4 months (June through September) compared with 37.1 (95% CI 32.7-41.5) during the remainder of the year, resulting in a 35% (95% CI 12-66%) increase in IR during the warmest 4 months. The average temperature was predictive of increasing IR of E. coli BSI (p 0.004); there was a 7% (95% CI 2-12%) increase in the IR for each 10-degree Fahrenheit (c. 5.5 degrees C) increase in average temperature. To our knowledge, this is the first study to demonstrate seasonal variation in E. coli BSI, with a higher IR during the warmest 4 months than during the remainder of the year.
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Affiliation(s)
- M N Al-Hasan
- Division of Infectious Diseases, Department of Medicine, University of Kentucky, Lexington, KY 40536, USA.
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Eid AJ, Brown RA, Hogan WJ, Lahr BD, Eckel-Passow JE, Litzow MR, Razonable RR. Kinetics of interferon-gamma producing cytomegalovirus (CMV)-specific CD4+ and CD8+ T lymphocytes and the risk of subsequent CMV viremia after allogeneic hematopoietic stem cell transplantation. Transpl Infect Dis 2009; 11:519-28. [PMID: 19744286 DOI: 10.1111/j.1399-3062.2009.00446.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Deficiencies in cytomegalovirus (CMV)-specific T lymphocytes impair the immunologic response against CMV reactivation after allogeneic hematopoietic stem cell transplantation (HSCT). METHODS A time-dependent analysis was conducted to determine the association between the percentages and kinetics of interferon-gamma-producing CMV-specific CD4+ and CD8+ T lymphocytes and CMV viremia among 30 allogeneic HSCT recipients. RESULTS Higher percentages of CD4+ T lymphocytes activated with CMVpp65 (hazard ratio [HR]: 2.06; 95% confidence interval [95% CI]: 1.18-3.6; P=0.011) and CMV lysate (HR: 1.18; 95% CI: 0.99-1.42; P=0.072), and higher percentages of CD8+ T lymphocytes activated by CMV immediate early-1 (HR: 1.2; 95% CI: 1.01-1.43; P=0.038) and CMVpp65 (HR: 1.12; 95% CI: 1.0-1.27; P=0.060) were associated with time-to-CMV viremia. Furthermore, a higher degree in the decline of CMV lysate-activated CD4+ T lymphocytes (HR: 1.14; 95% CI: 0.96-1.36; P=0.125) and CMVpp65-activated CD8+ T lymphocytes (HR: 1.36; 95% CI: 1.03-1.78; P=0.031) was suggestive of or significantly associated with time-to-CMV viremia. CONCLUSIONS Higher levels of CMV-specific CD4+ and CD8+ T lymphocytes were associated with subsequent CMV viremia after HSCT. The association between CMV viremia and the degree of decline in CMV-specific T lymphocytes suggests that severe disruption in homeostatic CMV-specific immune environment contributes to the immunopathogenesis of CMV after allogeneic HSCT.
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Affiliation(s)
- A J Eid
- Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA
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Eckel-Passow JE, Oberg AL, Therneau TM, Bergen HR. An insight into high-resolution mass-spectrometry data. Biostatistics 2009; 10:481-500. [PMID: 19325168 PMCID: PMC2697344 DOI: 10.1093/biostatistics/kxp006] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2007] [Revised: 03/12/2008] [Accepted: 02/23/2009] [Indexed: 11/15/2022] Open
Abstract
Mass spectrometry is a powerful tool with much promise in global proteomic studies. The discipline of statistics offers robust methodologies to extract and interpret high-dimensional mass-spectrometry data and will be a valuable contributor to the field. Here, we describe the process by which data are produced, characteristics of the data, and the analytical preprocessing steps that are taken in order to interpret the data and use it in downstream statistical analyses. Because of the complexity of data acquisition, statistical methods developed for gene expression microarray data are not directly applicable to proteomic data. Areas in need of statistical research for proteomic data include alignment, experimental design, abundance normalization, and statistical analysis.
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Affiliation(s)
- J E Eckel-Passow
- Division of Biomedical Statistics & Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA.
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Al-Hasan MN, Razonable RR, Eckel-Passow JE, Baddour LM. Incidence rate and outcome of Gram-negative bloodstream infection in solid organ transplant recipients. Am J Transplant 2009; 9:835-43. [PMID: 19344469 DOI: 10.1111/j.1600-6143.2009.02559.x] [Citation(s) in RCA: 87] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Bacterial infections are common complications of solid organ transplantation (SOT). In this study, we defined the incidence, mortality and in vitro antimicrobial resistance rates of Gram-negative bloodstream infection (BSI) in SOT recipients. We identified 223 patients who developed Gram-negative BSI among a cohort of 3367 SOT recipients who were prospectively followed at the Mayo Clinic (Rochester, MN) from January 1, 1996 to December 31, 2007. The highest incidence rate (IR) of Gram-negative BSI was observed within the first month following SOT (210.3/1000 person-years [95% confidence interval (CI): 159.3-268.3]), with a sharp decline to 25.7 (95% CI: 20.1-32.1) and 8.2 (95% CI: 6.7-10.0) per 1000 person-years between 2 and 12 months and more than 12 months following SOT, respectively. Kidney recipients were more likely to develop Gram-negative BSI after 12 months following transplantation than were liver recipients (10.3 [95% CI: 7.9-13.1] vs. 5.2 [95% CI: 3.1-7.8] per 1000 person-years). The overall unadjusted 28-day all-cause mortality of Gram-negative BSI was 4.9% and was lower in kidney than in liver recipients (1.6% vs. 13.2%, p < 0.001). We observed a linear trend of increasing resistance among Escherichia coli isolates to fluoroquinolone antibiotics from 0% to 44% (p = 0.002) throughout the study period. This increase in antimicrobial resistance may influence the choice of empiric therapy.
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Affiliation(s)
- M N Al-Hasan
- Department of Medicine, Division of Infectious Diseases, University of Kentucky, Lexington, KY, USA.
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Eckel-Passow JE, Oberg AL, Therneau TM, Mason CJ, Mahoney DW, Johnson KL, Olson JE, Bergen HR. Regression analysis for comparing protein samples with 16O/18O stable-isotope labeled mass spectrometry. Bioinformatics 2006; 22:2739-45. [PMID: 16954138 DOI: 10.1093/bioinformatics/btl464] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION Using stable isotopes in global proteome scans, labeled molecules from one sample are pooled with unlabeled molecules from another sample and subsequently subjected to mass-spectral analysis. Stable-isotope methodologies make use of the fact that identical molecules of different stable-isotope compositions are differentiated in a mass spectrometer and are represented in a mass spectrum as distinct isotopic clusters with a known mass shift. We describe two multivariable linear regression models for (16)O/(18)O stable-isotope labeled data that jointly model pairs of resolved isotopic clusters from the same peptide and quantify the abundance present in each of the two biological samples while concurrently accounting for peptide-specific incorporation rates of the heavy isotope. The abundance measure for each peptide from the two biological samples is then used in down-stream statistical analyses, e.g. differential expression analysis. Because the multivariable regression models are able to correct for the abundance of the labeled peptide that appear as an unlabeled peptide due to the inability to exchange the natural C-terminal oxygen for the heavy isotope, they are particularly advantageous for a two-step digestion/labeling procedure. We discuss how estimates from the regression model are used to quantify the variability of the estimated abundance measures for the paired samples. Although discussed in the context of (16)O/(18)O stable-isotope labeled data, the multivariable regression models are generalizable to other stable-isotope labeled technologies.
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Affiliation(s)
- J E Eckel-Passow
- Division of Biostatistics, Department of Health Sciences Research 200 First Street SW, Rochester, MN 55905, USA.
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Burgoon LD, Eckel-Passow JE, Gennings C, Boverhof DR, Burt JW, Fong CJ, Zacharewski TR. Protocols for the assurance of microarray data quality and process control. Nucleic Acids Res 2005; 33:e172. [PMID: 16272462 PMCID: PMC1278948 DOI: 10.1093/nar/gni167] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Microarrays represent a powerful technology that provides the ability to simultaneously measure the expression of thousands of genes. However, it is a multi-step process with numerous potential sources of variation that can compromise data analysis and interpretation if left uncontrolled, necessitating the development of quality control protocols to ensure assay consistency and high-quality data. In response to emerging standards, such as the minimum information about a microarray experiment standard, tools are required to ascertain the quality and reproducibility of results within and across studies. To this end, an intralaboratory quality control protocol for two color, spotted microarrays was developed using cDNA microarrays from in vivo and in vitro dose-response and time-course studies. The protocol combines: (i) diagnostic plots monitoring the degree of feature saturation, global feature and background intensities, and feature misalignments with (ii) plots monitoring the intensity distributions within arrays with (iii) a support vector machine (SVM) model. The protocol is applicable to any laboratory with sufficient datasets to establish historical high- and low-quality data.
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Affiliation(s)
- L. D. Burgoon
- Department of Pharmacology and Toxicology, Michigan State UniversityEast Lansing, MI 48824, USA
- National Food Safety and Toxicology Center, Michigan State UniversityEast Lansing, MI 48824, USA
- Center for Integrative Toxicology, Michigan State UniversityEast Lansing, MI 48824, USA
| | - J. E. Eckel-Passow
- Department of Health Sciences Research, Mayo Clinic Cancer CenterRochester, MN 55905, USA
| | - C. Gennings
- Department of Biostatistics, Virginia Commonwealth UniversityRichmond, VA 23298, USA
| | - D. R. Boverhof
- Department of Biochemistry and Molecular Biology, Michigan State UniversityEast Lansing, MI 48824, USA
- National Food Safety and Toxicology Center, Michigan State UniversityEast Lansing, MI 48824, USA
- Center for Integrative Toxicology, Michigan State UniversityEast Lansing, MI 48824, USA
| | - J. W. Burt
- Department of Biochemistry and Molecular Biology, Michigan State UniversityEast Lansing, MI 48824, USA
- National Food Safety and Toxicology Center, Michigan State UniversityEast Lansing, MI 48824, USA
- Center for Integrative Toxicology, Michigan State UniversityEast Lansing, MI 48824, USA
| | - C. J. Fong
- Department of Biochemistry and Molecular Biology, Michigan State UniversityEast Lansing, MI 48824, USA
- National Food Safety and Toxicology Center, Michigan State UniversityEast Lansing, MI 48824, USA
- Center for Integrative Toxicology, Michigan State UniversityEast Lansing, MI 48824, USA
| | - T. R. Zacharewski
- Department of Biochemistry and Molecular Biology, Michigan State UniversityEast Lansing, MI 48824, USA
- National Food Safety and Toxicology Center, Michigan State UniversityEast Lansing, MI 48824, USA
- Center for Integrative Toxicology, Michigan State UniversityEast Lansing, MI 48824, USA
- To whom correspondence should be addressed at Department of Biochemistry and Molecular Biology, Michigan State University, 223 Biochemistry Building, Wilson Road, East Lansing, MI 48824-1319, USA. Tel: +517 355 1607; Fax: +517 353 9334;
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