Joint destruction, as evidenced by radiographic findings, is a significant problem for patients suffering from rheumatoid arthritis and psoriatic arthritis. Inherently irreversible and frequently progressive, the process of joint damage begins at and even before the clinical onset of disease. However, rheumatoid and psoriatic arthropathies are heterogeneous in nature and not all patients progre...

There is a pressing need to develop effective prevention and disease-modifying treatments for Alzheimer's disease (AD), a dreaded affliction whose incidence increases almost logarithmically with age starting at about 65 years. A key need in the field of AD research is the validation of imaging and biochemical biomarkers. Biomarker tests that are shown to reliably predict the disease before it i...

Liquid-based cytology (LBC) in conjunction with Whole-Slide Imaging (WSI) enables the objective and sensitive and quantitative evaluation of biomarkers in cytology. However, the complex three-dimensional distribution of cells on LBC slides requires manual focusing, long scanning-times, and multi-layer scanning. Here, we present a solution that overcomes these limitations in two steps: first, we...

Sandwich enzyme-linked immunosorbent assay (ELISA) microarrays can simultaneously quantify the levels of multiple diagnostic targets in a biological sample. However, as with traditional ELISA diagnostics, endogenous antibodies in patient sera can cause interference. We demonstrate here that reducing the diagnostic capture antibody to its minimal functional unit (i.e., a single-chain antibody fr...

Susceptibility to sporadic Parkinson's disease (PD) is thought to be influenced by both genetic and environmental factors and their interaction with each other. Statistical models including multiple variants in axon guidance pathway genes have recently been purported to be capable of predicting PD risk, survival free of the disease and age at disease onset; however the specific models have not ...

Multivariate statistical techniques are used extensively in metabolomics studies, ranging from biomarker selection to model building and validation. Two model independent variable selection techniques, principal component analysis and two sample t-tests are discussed in this chapter, as well as classification and regression models and model related variable selection techniques, including parti...

Clinical pharmacologic research plays a vital role in cancer drug development. In recent years, biomarker studies have become integral to this process, specifically the use of pharmacologic biomarkers in the development of targeted therapies and their translation to clinical practice. In this overview, we discuss the validation of pharmacodynamics (PD) biomarkers and highlight the circulating t...

Protein profiling using SELDI-TOF-MS has gained over the past few years an increasing interest in the field of biomarker discovery. The technology presents great potential if some parameters, such as sample handling, SELDI settings, and data analysis, are strictly controlled. Practical considerations to set up a robust and sensitive strategy for biomarker discovery are presented. This paper als...

Cancer Control 219 detailed diagnostic and prognostic categorization. Recently published gene expression and proteomic profiling data indicate new candidate molecules involved in melanoma pathogenesis, which are currently validated. This ongoing process of biomarker identification and validation results in a rapidly changing molecular view and classification of cutaneous malignancies, which hol...