Blood Serum Biomarkers Research Articles

Feasibility of Using Biomarkers in Blood Serum as Markers of Effect Following Exposure of the Lungs to Particulate Matter Air Pollution

Particulate matter (PM) air pollution has significant cardiopulmonary health effects. Serum biomarkers may elucidate the disease mechanisms involved and provide a means for biomonitoring exposed populations, thereby enabling accurate policy decisions on air quality standards to be made. For this review, research investigating association of blood serum biomarkers and exposure to PM was identified, finding 26 different biomarkers that were significantly associated with exposure. Recent evidence links different effects to different components of PM. Future research on biomarkers of effect will need to address exposure by all PM size fractions.

Serum biomarker analysis in a phase II study of irinotecan in refractory metastatic breast cancer (MBC).

Abstract Abstract #6074 Objective: To analyze blood-serum biomarkers (HER2, EGFR, uPA, and TIMP-1) for prediction of response to treatment in conjunction with Study 96-32-55, a multicenter phase II trial assessing the efficacy and tolerability of two irinotecan schedules in anthracycline- or taxane-refractory MBC patients.
 Methods: MBC patients who experienced disease progression after one to three chemotherapy regimens, including at least one anthracycline- or taxane-based regimen, were randomly assigned to irinotecan in 6-week cycles comprising 100 mg/m2 weekly for 4 weeks, then a 2-week rest or 240 mg/m2 every 3 weeks. During this study the serum samples from each patient were collected at a possibility of three time points; prior to treatment, at the first occurrence of response, and at completion of or withdrawal from treatment. Response prediction was analyzed using predetermined elevated/non-elevated serum biomarker cutoffs. Percentage changes from baseline to first response and disease progression were analyzed.
 Results: In the weekly arm, the objective response (CR+PR) rate was 23% (95% CI, 13% to 37%), and in the every-3-weeks arm, the objective response rate was 14% (95% CI, 6% to 26%). Serum biomarker levels were determined for HER2, EGFR, uPA, and TIMP-1 prior to treatment for 91 patients. Of these 91 patients, 17 had serum measurements at first response, and 38 had serum measurements at their completion of study due to disease progression. Only 7 patients had serum-levels collected at all three event-points. The baseline levels of sHER2, EGFR, uPA, and TIMP-1 were not different among responders and non-responders (Fisher's Exact p=0.41, 0.26, 0.68, 0.75). sHER2 level increased by 20.6% from baseline to disease progression (p=0.01). TIMP-1 level was 15.2% lower than baseline at first response (p=0.03), 16.5% higher than baseline at disease progression (p=0.01), and for 7 patients with all three event-point measures, TIMP-1 was 21.8% lower than baseline at first response and was 22.3% higher than baseline at disease progression (p=0.02, 0.04).
 Conclusions: In this study, serum levels of HER2, EGFR, uPA, and TIMP-1 do not appear to be predictive of response. However, interpretation of the data is compromised due to limited availability of serum at all 3 points. Serum HER2 appears higher at disease progression than at baseline. Serum TIMP-1 appears to decrease from baseline to first response, and then appears to increase at disease progression. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 6074.

Blood Serum Biomarkers for Differential Diagnosis of Parkinson’s Disease

Blood Serum Biomarkers for Differential Diagnosis of Parkinson’s Disease

2D gel blood serum biomarkers reveal differential clinical proteomics of the neurodegenerative diseases

This review addresses the challenges of neuroproteomics and recent progress in biomarkers and tests for neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease and amyotrophic lateral sclerosis. The review will discuss how the application of quantitative 2D gel electrophoresis, combined with appropriate single-variable and multivariate biostatistics, allows for selection of disease-specific serum biomarkers. It will also address how the use of large cohorts of specifically targeted patient blood serum samples and complimentary age-matched controls, in parallel with the use of selected panels of these biomarkers, are being applied to the development of blood tests to specifically address unmet pressing needs in the differential diagnosis of these diseases, and to provide potential avenues for mechanism-based drug targeting and treatment monitoring. While exploring recent findings in this area, the review discusses differences in critical pathways of immune/inflammation and amyloid formation between Parkinson’s disease and amyotrophic lateral sclerosis, as well as discernable synergistic relationships between these pathways that are revealed by this approach. The potential for pathway measurement in blood tests for differential diagnosis, disease burden and therapeutic monitoring is also outlined.