Identification of Needs in Biomarker Research

Ward, Jonathan B.; Henderson, Rogene E.

doi:10.2307/3433007

Cited by 12 publications

(9 citation statements)

References 8 publications

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“…Interestingly, for those donors with a high baseline percentage of cells with ∆ψm disruption (Figure 2; donors 2, 4, and 9), initial exposure to TS (0.03 puff/mL) had no effect on ∆ψm, whereas those with low baseline percentage of cells with ∆ψm disruption (donors 1,3,5,6,7,8) were sensitive to this low concentration of TS exposure. According to ∆ψm sensitivity to in vitro TS exposure, we anticipated that the observed differences in baseline ∆ψm and in the in vitro sensitivity to TS might be the result of voluntary in vivo exposure to TS: cells with relatively high levels of baseline ∆ψm disruption would be from smokers and cells with relatively low levels of ∆ψm disruption would be from nonsmokers.…”

Section: Discussionmentioning

confidence: 94%

“…Three categories of biomarkers have been identified: biomarkers of effect, which are cellular responses that reflect sublethal exposure-related damage to a system; biomarkers of exposure, which are reversible upstream markers that respond before cellular damage occurs; and biomarkers of susceptibility, which refer to individual variations in the genes coding for stressor-induced cellular response (5). Proteins whose genes are influenced and induced by environmental stimuli or ecologic variations are called ecoproteins, in contrast to the constitutive, structural, "eco-free" proteins.…”

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confidence: 99%

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Mitochondrial membrane potential: a novel biomarker of oxidative environmental stress.

Vayssier‐Taussat

Kreps

Adrie

et al. 2002

Environ Health Perspect

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ArticlesEpidemiologic analyses, traditionally based on long-term cohort or case-control studies, provide retrospective causal associations between exposure to a particular environmental stressor and an exposure-related disease end point. Recent research initiatives have propelled a shift toward exploring molecular epidemiology and molecular biological markers (biomarkers) as a means of providing more immediate, quantitative risk assessment of potentially deleterious environmental exposures. We compared, in normal human monocytes isolated from the blood of healthy donors, variations in Hsp70 expression and mitochondrial membrane potential (∆ψm) in response to exposure to either tobacco smoke or γ-irradiation, two models for environmentally mediated oxidant exposure. On the basis of its mechanistic specificity for oxidants and little baseline variation in cells from distinct individuals, we propose that ∆ψm represents a selective in vitro and in vivo biomarker for oxidant exposure. ∆ψm may be used to gauge risks associated with oxidant-mediated air pollution and radiation.

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Section: Discussionmentioning

confidence: 94%

mentioning

confidence: 99%

Mitochondrial membrane potential: a novel biomarker of oxidative environmental stress.

Vayssier‐Taussat

Kreps

Adrie

et al. 2002

Environ Health Perspect

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“…These valid concerns are continually being addressed (34,41). However, it is critical to note that the pipeline of new biomarkers for cancer diagnosis and/or for tracking cancer progression is drying up (42,43). Currently, it seems that the proteomic profiling of patient serum remains the primary technology capable of rapid discovery of informative diagnostic and prognostic biomarkers.…”

Section: Functional Annotation Of Gene Expression Profilingmentioning

confidence: 99%

Genomics and Proteomics of Bone Cancer

Marguiles

Klimberg

Bhattacharrya

et al. 2006

Clinical Cancer Research

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Although the control of bone metastasis has been the focus of intensive investigation, relatively little is known about the molecular mechanisms that regulate or predict the process, even though widespread skeletal dissemination is an important step in the progression of many tumors. As a result, understanding the complex interactions contributing to the metastatic behavior of tumor cells is essential for the development of effective therapies. Using a state-of-the-art combination of gene expression profiling and functional annotation of human tumor cells, and surfaceenhanced laser desorption/ionization time-of-flight mass spectrometry of patient serum, we have shown that changes in tumor biochemistry correlate with disease progression and help to define the aggressive tumor phenotype. Based on these approaches, it is apparent that the metastatic phenotype of tumor cells is extremely complex. The identification of the phenotype of tumor cells has benefited greatly from the application of gene expression profiling (microarray analysis). This technology has been used by many investigators to identify changes in gene expression and cytokine and growth factor elaboration (such as interleukin 8). The tumor phenotype(s) presumably also include changes in the cell surface carbohydrate profile (via altered glycosyltransferase expression) and heparan sulfate expression (via increased heparanase activity), to name but a few. These specific alterations in gene expression, identified by functional annotation of accumulated microarray data, have been validated using a variety of approaches. Collectively, the data described here suggest that each of these activities is associated with distinct aspects of the aggressive tumor cell phenotype. Collectively, the data suggest that multiple factors constitute the complex phenotype of metastatic tumor cells. In particular, the differences observed in gene expression profiles and serum protein biomarkers play a critical role in defining the mechanisms responsible for bone-specific colonization and growth of tumors in bone. Future studies will identify the mechanisms that participate in the formation of secondary tumor growths of cancers in bone.

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“…Indeed, a recent study demonstrating the ability of SELDI-TOF to identify similar protein signatures in the same samples across multiple institutions validates the reliability and reproducibility of the SELDI-TOF approach [55]. However, since the rate of introduction of new protein diagnostic tests approved by the US FDA has declined over the last decade to fewer than one new protein diagnostic marker per year, it seems that the pipeline of new biomarkers for cancer diagnosis and/or for tracking cancer progression is drying up [56,57]. Currently, proteomic profiling appears to be the primary technology capable of the rapid discovery of informative diagnostic and prognostic biomarkers.…”

Section: Obstacles To Be Overcome With Proteomic Approachesmentioning

confidence: 85%

Proteomic analysis of bone cancer: a review of current and future developments

Bhattacharyya

Byrum

Siegel

et al. 2007

Expert Review of Proteomics

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The ability of sophisticated proteomic approaches to scrutinize the dynamic nature of protein expression, cellular and subcellular protein distribution, post-translational modifications, and protein-protein interactions has culminated in the identification of many potential new therapeutic targets and an abundance of cancer-related biomarkers. From a proteomics perspective, amongst the most under-studied diseases are bone cancers, such as myeloma, osteosarcoma and breast and prostate cancer bony metastases. This review focuses on the recent advances in proteomic technology that have thrust the skeletal cancer field into this exciting age of proteomics, and highlights the future work that is required to adapt this technology to specifically interrogate the skeletal consequences of malignancy.

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Identification of Needs in Biomarker Research

Abstract: 895-900 (1996)

Cited by 12 publications

References 8 publications

Mitochondrial membrane potential: a novel biomarker of oxidative environmental stress.

Mitochondrial membrane potential: a novel biomarker of oxidative environmental stress.

Genomics and Proteomics of Bone Cancer

Proteomic analysis of bone cancer: a review of current and future developments

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