Global ETD Search

1	IL-27: A Novel Biomarker in Predicting Bacterial Infection Among the Critically Ill Hanna, William J. 22 June 2015 (has links) No description available. Surgery Interluekin 27 diagnostic biomarker critically ill bacterial infection
2	A new 12-gene diagnostic biomarker signature of melanoma revealed by integrated microarray analysis. Liu, Wanting, Peng, Yonghong, Tobin, Desmond J. January 2013 (has links) No / Genome-wide microarray technology has facilitated the systematic discovery of diagnostic biomarkers of cancers and other pathologies. However, meta-analyses of published arrays often uncover significant inconsistencies that hinder advances in clinical practice. Here we present an integrated microarray analysis framework, based on a genome-wide relative significance (GWRS) and genome-wide global significance (GWGS) model. When applied to five microarray datasets on melanoma published between 2000 and 2011, this method revealed a new signature of 200 genes. When these were linked to so-called ‘melanoma driver’ genes involved in MAPK, Ca2+, and WNT signaling pathways we were able to produce a new 12-gene diagnostic biomarker signature for melanoma (i.e., EGFR, FGFR2, FGFR3, IL8, PTPRF, TNC, CXCL13, COL11A1, CHP2, SHC4, PPP2R2C, and WNT4). We have begun to experimentally validate a subset of these genes involved in MAPK signaling at the protein level, including CXCL13, COL11A1, PTPRF and SHC4 and found these to be over-expressed in metastatic and primary melanoma cells in vitro and in situ compared to melanocytes cultured from healthy skin epidermis and normal healthy human skin. While SHC4 has been reported previously to be associated to melanoma, this is the first time CXCL13, COL11A1, and PTPRF have been associated with melanoma on experimental validation. Our computational evaluation indicates that this 12-gene biomarker signature achieves excellent diagnostic power in distinguishing metastatic melanoma from normal skin and benign nevus. Further experimental validation of the role of these 12 genes in a new signaling network may provide new insights into the underlying biological mechanisms driving the progression of melanoma. Diagnostic biomarker signature Genes and genetics Melanoma Integrated microarray analysis Epidermis Skin
3	Proteomic Analysis of Urinary Bladder Cancer : Aiming for Novel Biomarkers Lindén, Mårten January 2013 (has links) Urinary bladder cancer is a heterogeneous disease appearing in different forms, e.g. non-muscle invasive and muscle invasive. For all variants, the expression of proteins is interesting to analyze for diagnostic, predictive, prognostic and drug targeting purposes, since it reflects the altered gene expression causing the cancer. Since urothelial cells of the bladder are in direct contact with urine it is likely that this body fluid contains cancer-related proteins. In Paper I, unbiased analysis of proteins in urine from urinary bladder cancer patients and controls, using label-free quantification by mass spectrometry, was applied and four interesting proteins APOE, FGB, LRG and SERPINA1 were selected and further analyzed with western and dot blot. In Paper II, two more proteins, POLR1E and TOP2A, were validated as relevant proteins in bladder cancer urine. In Paper III and IV, the proteins GAL1 and STMN1 were investigated for their prognostic and therapeutic target potential in bladder cancer. In Paper II, III and IV, the expression of seven of the proteins were analyzed on tissue microarrays representing tumour tissue from 360 patients with different tumour stages. For the proteins identified by the urine screening approach, their protein expressions were confirmed in bladder cancer tissue. The expression level in tissue of five of the proteins, APOE, FGB, POLR1E (Paper II), GAL1 (Paper III) and STMN1 (Paper IV), increased with tumour stage, showing diagnostic relevance and three of the proteins, SERPINA1 (Paper II), STMN1 (Paper IV) and GAL1 (Paper III) had prognostic potential in urinary bladder cancer. In addition, GAL1 and STMN1 were demonstrated to be highly expressed in metastatic disease and inhibition of STMN1 reduced cell growth (Paper III and IV), indicating that these proteins are promising drug targets in urinary bladder cancer. In conclusion, the approach of this thesis has generated several candidate protein biomarkers in urine and tissue, validated with independent methods, which have the potential to improve the care for bladder cancer patients. urine APOE FGB GAL1 LRG1 POLR1E SERPINA1 STMN1 TOP2A biomarker diagnostic biomarker prognostic biomarker predictive biomarker mass spectrometry western blot dot blot immunohistochemistry IHC tissue microarray TMA urothelium antibody antibody-based urinblåsecancer biomarkör diagnos prognos urin proteomik masspektrometri immunohistokemi antikroppar

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