Metabolic labeling and protein linearization technology allow the study of proteins secreted by cultured cells in serum-containing media.

Supernatants from cell cultures (also called conditioned media, CMs) are commonly analyzed to study the pool of secreted proteins (secretome). To reduce the exogenous protein background, serum-free media are often used to obtain CMs. Serum deprivation, however, can severely affect cell viability and phenotype, including protein secretion. We present a strategy to analyze the proteins secreted by cells in fetal bovine serum-containing CMs, which combines the advantage of metabolic labeling and protein concentration linearization techniques. Incubation of CMs with a hexapeptide ligand library was used to reduce the dynamic range of the samples and led to the identification of 3 times more proteins than in untreated CM samples. Labeling with a deuterated amino acid was used to distinguish between cellular proteins and homologous bovine proteins contained in the medium. Application of the strategy to two breast cancer cell lines led to the identification of proteins secreted in different amounts and which could correlate with their varying degree of aggressiveness. Selected reaction monitoring (SRM)-based quantitation of three proteins of interest in the crude samples yielded data in good agreement with the results from concentration-equalized samples.

Test of four colon cancer risk-scores in formalin fixed paraffin embedded microarray gene expression data.

BACKGROUND: Prognosis prediction for resected primary colon cancer is based on the T-stage Node Metastasis (TNM) staging system. We investigated if four well-documented gene expression risk scores can improve patient stratification. METHODS: Microarray-based versions of risk-scores were applied to a large independent cohort of 688 stage II/III tumors from the PETACC-3 trial. Prognostic value for relapse-free survival (RFS), survival after relapse (SAR), and overall survival (OS) was assessed by regression analysis. To assess improvement over a reference, prognostic model was assessed with the area under curve (AUC) of receiver operating characteristic (ROC) curves. All statistical tests were two-sided, except the AUC increase. RESULTS: All four risk scores (RSs) showed a statistically significant association (single-test, P < .0167) with OS or RFS in univariate models, but with HRs below 1.38 per interquartile range. Three scores were predictors of shorter RFS, one of shorter SAR. Each RS could only marginally improve an RFS or OS model with the known factors T-stage, N-stage, and microsatellite instability (MSI) status (AUC gains < 0.025 units). The pairwise interscore discordance was never high (maximal Spearman correlation = 0.563) A combined score showed a trend to higher prognostic value and higher AUC increase for OS (HR = 1.74, 95% confidence interval [CI] = 1.44 to 2.10, P < .001, AUC from 0.6918 to 0.7321) and RFS (HR = 1.56, 95% CI = 1.33 to 1.84, P < .001, AUC from 0.6723 to 0.6945) than any single score. CONCLUSIONS: The four tested gene expression-based risk scores provide prognostic information but contribute only marginally to improving models based on established risk factors. A combination of the risk scores might provide more robust information. Predictors of RFS and SAR might need to be different.

Report of Recommendations to Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2008

Report on Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2008

Schedule of Debt Service and Coverage for Iowa State University of Science and Technology for the Academic Building Revenue Bond Funds for the year ended June 30, 2009

Schedule of Debt Service and Coverage for Iowa State University of Science and Technology for the Academic Building Revenue Bond Funds for the year ended June 30, 2009

Audit report on the Student Health Facility Revenue Bond Funds of Iowa State University of Science and Technology for the year ended June 30, 2009

Audit report on the Student Health Facility Revenue Bond Funds of Iowa State University of Science and Technology for the year ended June 30, 2009

From radiobiology to technology: what is changing in radiotherapy for prostate cancer.

In the last decades, new technologies have been introduced in the daily clinical practice of the radiation oncologist: 3D-Conformal radiotherapy (RT) became almost universally available, thereafter, intensity modulated RT (IMRT) gained large diffusion, due to its potential impact in improving the clinical outcomes, and more recently, helical and volumetric arc IMRT with image-guided RT are becoming more and more diffused and used for prostate cancer patients. The conventional dose-fractionation results to be the best compromise between the efficacy and the safety of the treatment, but combining new techniques, modern RT allows to overcame one of the major limits of the 'older' RT: the impossibility of delivering higher total doses and/or high dose/fraction. The evidences regarding radiobiology, clinical and technological evolution of RT in prostate cancer have been reported and discussed.

Audit report of Iowa State University of Science and Technology, Ames, Iowa, (Iowa State University) for the year ended June 30, 2009

Audit report of Iowa State University of Science and Technology, Ames, Iowa, (Iowa State University) for the year ended June 30, 2009

Agreed-upon procedures report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2009

Agreed-upon procedures report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2009

Report on a review of selected general and application controls over the Iowa State University of Science and Technology (Iowa State University) Purchase Order/Requisition System for the period of March 20 through April 28, 2009

Report on a review of selected general and application controls over the Iowa State University of Science and Technology (Iowa State University) Purchase Order/Requisition System for the period of March 20 through April 28, 2009

Report of Recommendations to Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2009

Report on Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2009

Audit report on the Student Health Facility Revenue Bond Funds of Iowa State University of Science and Technology for the year ended June 30, 2010

Audit report on the Student Health Facility Revenue Bond Funds of Iowa State University of Science and Technology for the year ended June 30, 2010

Report on a review of selected general and application controls over the Iowa State University of Science and Technology Accounts Receivable System for the period of March 29, 2010 through May 6, 2010

Report on a review of selected general and application controls over the Iowa State University of Science and Technology Accounts Receivable System for the period of March 29, 2010 through May 6, 2010

State Government Reorganization Commission, Answers and Recommendations to Select Information Technology Issues, 2009.

The State Government Reorganization Commission asked the Department of Administrative Services (DAS) to provide answers to questions pertaining to process improvements, and efficiencieswith the intent of reducing costs and discovering greater government efficiency.

Iowa Technology Governance Board Annual Report, January 12, 2009

This Technology Governance Board Annual Report provides information on the FY06 – FY10 Information Technology Personnel Spending; FY06 – FY10 Technology Equipment and Services Spending; and FY06 – FY10 Internal IT Expenditures with the Iowa Communications Network and Department of Administrative Services - Information Technology Enterprise. The report also contains a projection of technology cost savings. This report was produced in compliance with Iowa Code §8A.204(3a) and was submitted to the Governor, the Department of Management, and the General Assembly on January 12, 2009.

Iowa Technology Governance Board Annual Report, January 11, 2010

This Technology Governance Board Annual Report provides information on the FY07 – FY11 Information Technology Personnel Spending; FY07 – FY11 Technology Equipment and Services Spending; and FY07 – FY11 Internal IT Expenditures with the Iowa Communications Network and Department of Administrative Services - Information Technology Enterprise. The report also contains a projection of technology cost savings. This report was produced in compliance with Iowa Code §8A.204(3a) and was submitted to the Governor, the Department of Management, and the General Assembly on January 11, 2010.