PubMed Health⌕ Search

Biomedical subjects

Emanuel F Petricoin

Publications and source records attributed to Emanuel F Petricoin.

At least 19 recordsLinked to original sources
PubMed2005

Mapping molecular networks using proteomics: a vision for patient-tailored combination therapy.

Mapping tumor cell protein networks in vivo will be critical for realizing the promise of patient-tailored molecular therapy. Cancer can be defined as a dysregulation or hyperactivity in the network of intracellular and extracellular signaling cascades. These protein signaling circuits are the ultimate targets of molecular therapy. Each patient's tumor may be driven by a distinct series of molecular pathogenic defects. Thus, for any single molecular targeted therapy, only a subset of cancer patients may respond. Individualization of therapy, which tailors a therapeutic regimen to a tumor molecular portrait, may be the solution to this dilemma. Until recently, the field lacked the technology for molecular profiling at the genomic and proteomic level. Emerging proteomic technology, used concomitantly with genomic analysis, promises to meet this need and bring to reality the clinical adoption of molecular stratification. The activation state of kinase-driven signal networks contains important information relative to cancer pathogenesis and therapeutic target selection. Proteomic technology offers a means to quantify the state of kinase pathways, and provides post-translational phosphorylation data not obtainable by gene arrays. Case studies using clinical research specimens are provided to show the feasibility of generating the critical information needed to individualize therapy. Such technology can reveal potential new pathway interconnections, including differences between primary and metastatic lesions. We provide a vision for individualized combinatorial therapy based on proteomic mapping of phosphorylation end points in clinical tissue material.

Antineoplastic Combined Chemotherapy Protocols↗
PubMed2005

Supra-additive growth inhibition by a celecoxib analogue and carboxyamido-triazole is primarily mediated through apoptosis.

Combination studies of celecoxib and chemotherapeutic agents suggest that combining cyclooxygenase-2 inhibitors with other agents may have supra-additive or synergistic effects on tumor growth inhibition. Carboxyamido-triazole (CAI), a voltage-independent calcium channel inhibitor, has been shown to induce growth inhibition and apoptosis in cancer cells. We found that continuous exposure to cytostatic doses of CAI and LM-1685, a celecoxib analogue, reduced the proliferation and survival of seven human cancer cell lines by at least one log (P < or = 0.001) over either agent alone. To explore the mechanism of action of this combination, we further studied the effects of LM-1685/CAI on CCL-250 colorectal carcinoma cells. We found that the supra-additive antiproliferative effects occurred throughout a range of LM-1685 doses (5-25 micromol/L) and paralleled a decrease in COX-2 activity as measured by prostaglandin E2 production. In these cells, treatment with LM-1685/CAI suppressed the extracellular signal-regulated kinase pathway within the first hour but ultimately results in high, sustained activation of ERK over a 9-day period (P = 0.0005). Suppression of cyclin D1 and phospho-AKT, and cleavage of caspase-3 and PARP were concomitant with persistent ERK activation. Addition of PD98059, a MEK-1 inhibitor, suppressed ERK activation and significantly but incompletely reversed these signaling events and apoptosis. Flow cytometry experiments revealed that the CAI/LM-1685 combination induced a 3-fold increase in apoptosis over control (P = 0.005) in 3 days. We show that the combination of CAI and LM-1685 produces a cytotoxic effect by suppressing proliferation and triggering apoptosis.

Antineoplastic Combined Chemotherapy Protocols↗
PubMed2005

Adipocyte-derived collagen VI affects early mammary tumor progression in vivo, demonstrating a critical interaction in the tumor/stroma microenvironment.

The interactions of transformed cells with the surrounding stromal cells are of importance for tumor progression and metastasis. The relevance of adipocyte-derived factors to breast cancer cell survival and growth is well established. However, it remains unknown which specific adipocyte-derived factors are most critical in this process. Collagen VI is abundantly expressed in adipocytes. Collagen(-/-) mice in the background of the mouse mammary tumor virus/polyoma virus middle T oncogene (MMTV-PyMT) mammary cancer model demonstrate dramatically reduced rates of early hyperplasia and primary tumor growth. Collagen VI promotes its growth-stimulatory and pro-survival effects in part by signaling through the NG2/chondroitin sulfate proteoglycan receptor expressed on the surface of malignant ductal epithelial cells to sequentially activate Akt and beta-catenin and stabilize cyclin D1. Levels of the carboxyterminal domain of collagen VIalpha3, a proteolytic product of the full-length molecule, are dramatically upregulated in murine and human breast cancer lesions. The same fragment exerts potent growth-stimulatory effects on MCF-7 cells in vitro. Therefore, adipocytes play a vital role in defining the ECM environment for normal and tumor-derived ductal epithelial cells and contribute significantly to tumor growth at early stages through secretion and processing of collagen VI.

Adipocytes↗
PubMed2005

Importance of communication between producers and consumers of publicly available experimental data.

The application of mass spectrometry to discover new cancer biomarkers is in its infancy. Many of these new markers are low-abundance proteins that exist as fragments associated with carrier proteins. Although reproducibility is key to the use of mass spectrometry for ion fingerprint analysis, the scientific community has yet to establish a common platform or standardized operating procedures that are necessary for intra- and inter-laboratory comparison. In an effort to assist others who are perfecting mass spectrometry platforms for profiling, ongoing experimental data were posted for public consumption. An unintended consequence of unrestricted access to experimental data is the risk of inappropriate conclusions drawn and publicly disseminated that could have been avoided by communication between the producers and consumers of the data. Such disputes, however, should not divert us from the validation of this promising new approach.

Biomarkers, Tumor↗
PubMed2005

Use of reverse phase protein microarrays and reference standard development for molecular network analysis of metastatic ovarian carcinoma.

Cancer can be defined as a deregulation or hyperactivity in the ongoing network of intracellular and extracellular signaling events. Reverse phase protein microarray technology may offer a new opportunity to measure and profile these signaling pathways, providing data on post-translational phosphorylation events not obtainable by gene microarray analysis. Treatment of ovarian epithelial carcinoma almost always takes place in a metastatic setting since unfortunately the disease is often not detected until later stages. Thus, in addition to elucidation of the molecular network within a tumor specimen, critical questions are to what extent do signaling changes occur upon metastasis and are there common pathway elements that arise in the metastatic microenvironment. For individualized combinatorial therapy, ideal therapeutic selection based on proteomic mapping of phosphorylation end points may require evaluation of the patient's metastatic tissue. Extending these findings to the bedside will require the development of optimized protocols and reference standards. We have developed a reference standard based on a mixture of phosphorylated peptides to begin to address this challenge.

Carcinoma↗
PubMed2005

A serum proteomic approach to gauging the state of remission in Wegener's granulomatosis.

OBJECTIVE: To identify serum ion patterns that distinguish remission from active disease in patients with Wegener's granulomatosis (WG). METHODS: Using sera collected in the WG Etanercept Trial, we selected samples from patients who either were undergoing a period of extended disease remission or had recent flares of active WG. Unfractionated samples were randomized into sets for training and testing, such that remission sera and active disease sera could be analyzed without batch bias. Molecular species within the sera were ionized by high-resolution, matrix-assisted laser desorption ionization time-of-flight mass spectrometry. We then used a bioinformatics pattern-recognition tool to identify optimal combinations of ions. During the training stage, the clinical data (remission versus active disease) were provided in association with the spectral data from each sample. In the testing stage, we performed blinded testing on a previously unexamined set of samples. RESULTS: The most robust model, trained on a total of 82 samples (42 remission, 40 active disease), included 7 key ions with mass:charge ratios of 803.239, 2,171.672, 2,790.574, 3,085.237, 5,051.726, 5,833.989, and 6,630.465. The combined relative amplitudes of these 7 ions identified 5 distinct clusters of either remission or active disease samples during the training stage. In the testing stage, this model segregated 72 samples into the same 5 clusters, including 1 large remission cluster (n = 28) and another large active disease cluster (n = 32). Three smaller clusters of active disease or remission samples were also identified, with remission clusters populated by 2 samples in one cluster and 8 in another, and an active disease cluster populated by 2 samples. The model categorized 35 of 37 remission samples correctly (sensitivity 95%, 95% confidence interval [95% CI] 82.1-99.4) and 32 of 35 active disease samples correctly (specificity 91%, 95% CI 78.1-98.1). CONCLUSION: This serum proteomic profiling approach appears to be useful in distinguishing between states of stable clinical remission and active disease. Further validation and refinement of this strategy may help clinicians apply immunosuppressive therapies more judiciously among their patients, thereby avoiding morbidity and mortality from excessive treatment. Identification of the most robust and clinically useful combinations of ions will permit the rational selection of molecules for sequencing and analysis.

Antirheumatic Agents↗
PubMed2005

CSF proteome: a protein repository for potential biomarker identification.

Proteomic analysis is not limited to the analysis of serum or tissues. Synovial, peritoneal, pericardial and cerebrospinal fluid represent unique proteomes for disease diagnosis and prognosis. In particular, cerebrospinal fluid serves as a rich source of putative biomarkers that are not solely limited to neurologic disorders. Peptides, proteolytic fragments and antibodies are capable of crossing the blood-brain barrier, thus providing a repository of pathologic information. Proteomic technologies such as immunoblotting, isoelectric focusing, 2D gel electrophoresis and mass spectrometry have proven useful for deciphering this unique proteome. Cerebrospinal fluid proteins are generally less abundant than their corresponding serum counterparts, necessitating the development and use of sensitive analytical techniques. This review highlights some of the promising areas of cerebrospinal fluid proteomic research and their clinical applications.

Alzheimer Disease↗
PubMed2005

Pathology of the future: molecular profiling for targeted therapy.

Recent evidence suggests that each patient's cancer has a unique subset of molecular pathogenetic derangements. These derangements may both genetic and proteomic alterations. Genomic and proteomic research tools enable genome-wide assessment of gene expression as well as kinase driven cell signaling events. These tools are illuminating the molecular derangements of individual tumors, even if these tumors have similar morphological characteristics. A combination of laser capture microdissection with multiplexed phosphoproteomic analysis using reverse phase protein microarray technology is being used to identify protein molecular signatures of individual tumors. The in vivo state of multiple kinase driven signal pathways may be evaluated by reverse phase protein microarray with a panel of specific antibodies developed based upon our knowledge of biological processes. Molecular profiling of individual patient's tumors is currently being evaluated in clinical trials at the National Institutes of Health, National Cancer Institute for monitoring Epidermal Growth Factor (EGF) cell signaling events for patients with breast and ovarian cancer.

Forecasting↗
PubMed2005

Reverse-phase protein microarrays for tissue-based analysis.

The deciphering of the human genome has elucidated our biological structural design and has generated insights into disease development and pathogenesis. At the same time, knowledge of genetic changes during disease processes has demonstrated the need to move beyond genomics towards proteomics and a systems biology approach to science. Analyzing the proteome comprises more than just a numeration of proteins. In fact, it characterizes proteins within cells in the context of their functional status and interactions in their physiological micro- and macroenvironments. As dysregulated signaling often underpins most human diseases, an overarching goal of proteomics is to profile the working state of signaling pathways, to develop 'circuit maps' of normal and diseased protein networks and identify hyperactive, defective or inoperable transduction pathways. Reverse-phase protein microarrays represent a new technology that can generate a multiplex readout of dozens of phosphorylated events simultaneously to profile the state of a signaling pathway target even after the cell is lyzed and the contents denatured.

Animals↗
PubMed2004

Trapping radioactive carbon dioxide during cellular metabolic assays under standard culture conditions: description of a unique gas-capturing device.

Measurement of carbon dioxide levels has been employed to follow cellular metabolic reactions for quite some time. By radio-labeling substrate molecules and evaluating the radioactivity levels of the carbon dioxide released, insight into metabolic pathways can be gleaned. Currently, no carbon dioxide capturing device is available that can be used with large volume cell monolayers growing under standard conditions within a regular commercially available culture flask. In this note we describe a simple device for collecting radio-labeled carbon dioxide from a standard culture flask. The device is independent of the culture flask, but can be attached for metabolic measurements allowing cells to be grown under standard conditions prior to study. The presented design permits convenient transfer of the device between flasks without contaminating or disturbing cells growing within the flasks. Data are presented demonstrating the reproducibility of measurements made with multiple devices with different substrate concentrations and varying periods of time, ranging up to 3 h.

Biophysics↗
PubMed2004

An investigation into the human serum "interactome".

The protein content of human serum is composed of a millieu of proteins from almost every type of cell and tissue within the body. The serum proteome has been shown to contain information that directly reflects pathophysiological states and represents an invaluable source of diagnostic information for a variety of different diseases. Unfortunately, the dynamic range of protein abundance, ranging from >> mg/mL level to << pg/mL level, renders complete characterization of this proteome nearly impossible with current analytical methods. To study low-abundance proteins, which have potential value for clinical diagnosis, the high-abundant species, such as immunoglobulins and albumin, are generally eliminated as the first step in many analytical protocols. This step, however, is hypothesized to concomitantly remove proteins/peptides associated with the high-abundant proteins targeted for depletion. In this study, immunoprecipitation was combined with microcapillary reversed-phase liquid chromatography (microRPLC) coupled on-line with tandem mass spectrometry (MS/MS) to investigate the low-molecular-weight proteins/peptides that associate with the most abundant species in serum. By this targeted isolation of select highly abundant serum proteins, the associated proteins/peptides can be enriched and effectively identified by microRPLC-MS/MS. Among the 210 proteins identified, 73% and 67% were not found in previous studies of the low-molecular-weight or whole-serum proteome, respectively.

Albumins↗
PubMed2004

Proteomic analysis of lymph.

This report provides the first proteomic analysis of normal ovine lymph. By establishing the fact that lymph is more than an ultrafiltrate of blood plasma, it documents that the lymph proteome contains an array of proteins that differentiates it from plasma. The protein chip technology, surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS), two-dimensional gel electrophoresis (2-D PAGE) and MS, were employed to examine the protein expression profiles of ovine lymph. Using a weak cation exchange chip surface to assay lymph and plasma samples by SELDI-TOF-MS showed that the analysis of peak maps from lymph contained three protein peaks that were found only in lymph, while analysis of peak maps from plasma samples showed that five protein peaks were found only in plasma. Lymph and plasma samples showed eight peaks that were common to both. There were also more ions present in plasma than in lymph, which is consistent with the 2-D PAGE analysis. MS analysis of a large number of protein spots from 2-D PAGE gels of lymph produced MS/MS sequences for 18 proteins that were identified by searching against a comprehensive protein sequence database. As in plasma, large protein spots of albumin dominated the protein pattern in lymph. Other major proteins identified in 2-D PAGE gels of lymph included, fibrinogen alpha- and beta-chains, immunoglobulin G (IgG) heavy chain, serotransferrin precursor, lactoferrin, and apolipoprotein A-1. Two proteins that were identified and were differentially expressed in lymph were glial fibrillary astrocyte acidic protein and neutrophil cytosol factor-1. By bringing the technologies of proteomics to bear on the analysis of lymph, it is possible to detect proteins in lymph that are quantitatively and qualitatively differentially expressed from those of plasma.

Animals↗
PubMed2004

Profiling the activity of G proteins in patient-derived tissues by rapid affinity-capture of signal transduction proteins (GRASP).

The next phase in molecular medicine will require the ability to identify signal transduction events inside a cell, in the biologic context of the disease-host interface and at a given point in time. New technologies are needed to profile the activity of these signaling pathways in patient tissue rather than cultured cell lines since the tumor-host microenvironment influences the cellular proteome. We introduce such a technology, rapid affinity capture of signaling proteins (GRASP), to investigate the activity of signaling pathways from patient-derived carcinomas and benign epithelial surfaces and apply it to studying important signaling events in ovarian carcinoma. During the progression from benign ovarian epithelium to invasive carcinoma, there is loss of repression of Rho A as evidenced by its dissociation from its inhibitor, Rho Guanine Nucleotide Dissociation Inhibitor (RhoGDI). GRASP is more informative than simply profiling transcript or protein levels. Furthermore, GRASP coupled with mass spectrometry allowed us to identify a protein-binding partner of RhoGDI, demonstrating the power of this technology in the discovery of potentially novel protein-protein interactions. GRASP represents an advance in the field of proteomics as it detects protein interactions present in cells as they exist in their native tissue microenvironment.

Carcinoma↗
PubMed2004

Mitochondrial proteome: cancer-altered metabolism associated with cytochrome c oxidase subunit level variation.

Shifts in metabolism associated with tumorigenesis were first noted by Otto Warburg in the 1920s. In the ensuing decades many examples of the phenomenon have been elucidated while the underlying molecular mechanism has remained elusive. As the enzyme complex at the crux of oxidative phosphorylation, cytochrome c oxidase is uniquely positioned to have a very high impact on cellular metabolism. In this study, we test the hypothesis that there is a specific association between altered cytochrome c oxidase subunit levels and altered metabolism by combining the technique of reverse-phase protein microarray with radiolabeled glucose metabolic studies. Such a relationship is observed with five different cell lines, two of which (1542N and 1542T) are a matched set of normal and tumor-based lineages derived from the same prostate gland. By measuring the [(14)C]carbon dioxide production of a cell line metabolizing [1-(14)C]glucose and comparing those measurements to values obtained for the same cell line metabolizing [6-(14)C]glucose, we determined the relative utilization of the hexose monophosphate shunt and glycolysis progressing through the Krebs cycle metabolic pathway in each cell line. In all cases there is an increased utilization of hexose monophosphate shunt relative to glycolysis progressing through the Krebs cycle in tumor derived relative to normal derived cell lines. Additionally, there is an associated increase in the ratio of nuclear encoded cytochrome c oxidase subunits to mitochondrially encoded cytochrome c oxidase subunits in the tumor-derived cell lines. These results demonstrate an alteration in subunit levels of a single enzyme complex (cytochrome c oxidase) commensurate with tumor-altered metabolism.

Animals↗
PubMed2004

Lessons from Kitty Hawk: from feasibility to routine clinical use for the field of proteomic pattern diagnostics.

Proteomic pattern diagnostics is a rapidly evolving field of science. Despite the increasingly large number of laboratories reporting exciting success with this concept, recent speculation concerning reproducibility and the nature and identities of the information content of the pattern constituents have served to defocus and polarize the community. These controversies will be rendered obsolete as the field accelerates into a new realm of clinical diagnostics. This new era will see the currently dry biomarker pipeline flooded with new candidate molecules, and the mass spectrometer will continue its maturation into a dominant clinical platform. We reflect on the important lessons gleaned from the Wright brothers' attempts at controlled heavier-than-air flight as a model for perseverance and a view to the very near future for proteomic pattern diagnostics.

Biomarkers↗
PubMed2004

SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer.

Proteomics is more than just generating lists of proteins that increase or decrease in expression as a cause or consequence of pathology. The goal should be to characterize the information flow through the intercellular protein circuitry that communicates with the extracellular microenvironment and then ultimately to the serum/plasma macroenvironment. The nature of this information can be a cause, or a consequence, of disease and toxicity-based processes. Serum proteomic pattern diagnostics is a new type of proteomic platform in which patterns of proteomic signatures from high dimensional mass spectrometry data are used as a diagnostic classifier. This approach has recently shown tremendous promise in the detection of early-stage cancers. The biomarkers found by SELDI-TOF-based pattern recognition analysis are mostly low molecular weight fragments produced at the specific tumor microenvironment.

Algorithms↗