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Dive into the research topics where Karl Wassmann is active.

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Featured researches published by Karl Wassmann.


PLOS ONE | 2011

Transcriptome Profiling of Whole Blood Cells Identifies PLEK2 and C1QB in Human Melanoma

Yuchun Luo; Steven E. Robinson; Junichi Fujita; Lisa Siconolfi; Jay Magidson; Carl K. Edwards; Karl Wassmann; Kathleen Storm; David A. Norris; Danute Bankaitis-Davis; William A. Robinson; Mayumi Fujita

Background Developing analytical methodologies to identify biomarkers in easily accessible body fluids is highly valuable for the early diagnosis and management of cancer patients. Peripheral whole blood is a “nucleic acid-rich” and “inflammatory cell-rich” information reservoir and represents systemic processes altered by the presence of cancer cells. Methodology/Principal Findings We conducted transcriptome profiling of whole blood cells from melanoma patients. To overcome challenges associated with blood-based transcriptome analysis, we used a PAXgene™ tube and NuGEN Ovation™ globin reduction system. The combined use of these systems in microarray resulted in the identification of 78 unique genes differentially expressed in the blood of melanoma patients. Of these, 68 genes were further analyzed by quantitative reverse transcriptase PCR using blood samples from 45 newly diagnosed melanoma patients (stage I to IV) and 50 healthy control individuals. Thirty-nine genes were verified to be differentially expressed in blood samples from melanoma patients. A stepwise logit analysis selected eighteen 2-gene signatures that distinguish melanoma from healthy controls. Of these, a 2-gene signature consisting of PLEK2 and C1QB led to the best result that correctly classified 93.3% melanoma patients and 90% healthy controls. Both genes were upregulated in blood samples of melanoma patients from all stages. Further analysis using blood fractionation showed that CD45− and CD45+ populations were responsible for the altered expression levels of PLEK2 and C1QB, respectively. Conclusions/Significance The current study provides the first analysis of whole blood-based transcriptome biomarkers for malignant melanoma. The expression of PLEK2, the strongest gene to classify melanoma patients, in CD45− subsets illustrates the importance of analyzing whole blood cells for biomarker studies. The study suggests that transcriptome profiling of blood cells could be used for both early detection of melanoma and monitoring of patients for residual disease.


Archive | 2006

Gene expression profiling for identification monitoring and treatment of rheumatoid arthritis

Danute Bankaitis-Davis; Kathy Storm; Lisa Siconolfi; David B. Trollinger; Karl Wassmann


Archive | 2007

Gene Expression Profiling For Identification, Monitoring And Treatment Of Colorectal Cancer

Danute Bankaitis-Davis; Lisa Siconolfi; Kathleen Storm; Karl Wassmann


Archive | 2007

Gene Expression Profiling for Identification, Monitoring and Treatment of Prostate Cancer

Danute Bankaitis-Davis; Lisa Siconolfi; Kathleen Storm; Karl Wassmann


Archive | 2007

Gene Expression Profiling for Identification, Monitoring and Treatment of Lung Cancer

Danute Bankaitis-Davis; Lisa Siconolfi; Kathleen Storm; Karl Wassmann


Archive | 2007

Gene expression profiling for identification, monitoring and treatment of melanoma

Danute Bankaitis-Davis; Lisa Siconolfi; Kathleen Storm; Karl Wassmann; Mayumi Fujita; William A. Robinson; David A. Norris


Archive | 2007

Gene Expression Profiling for Identification, Monitoring and Treatment of Cervical Cancer

Danute Bankaitis-Davis; Lisa Siconolfi; Kathleen Storm; Karl Wassmann


Archive | 2007

Gene Expression Profiling for Identification, Monitoring and Treatment of Breast Cancer

Karl Wassmann; Kathleen Storm; Lisa Siconolfi; Danute Bankaitis-Davis


Archive | 2007

Gene expression profiling for identification, monitoring and treatment of ovarian cancer

Danute Bankaitis-Davis; Lisa Siconolfi; Kathleen Storm; Karl Wassmann


Archive | 2010

The Role of Proxy Genes in Predictive Models: An Application to Early Detection of Prostate Cancer

Jay Magidson; Karl Wassmann

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David A. Norris

University of Colorado Denver

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Mayumi Fujita

University of Colorado Hospital

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Carl K. Edwards

University of Colorado Denver

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Junichi Fujita

University of Colorado Denver

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Steven E. Robinson

University of Colorado Denver

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