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At least 91 records · Page 5Linked to original sources
PubMed2004

Serum proteomic profiling can discriminate prostate cancer from benign prostates in men with total prostate specific antigen levels between 2.5 and 15.0 ng/ml.

PURPOSE: Artificial intelligence based pattern recognition algorithms have been developed and successfully used to analyze complex serum proteomic data streams generated by surface enhanced, laser desorption ionization time-of-flight mass spectroscopy. In the current study we used a high performance, hybrid quadrupole time-of-flight mass spectrometer to generate discriminatory serum proteomic profiles to determine if this technology could be used to determine the need for prostate biopsy in men with elevated prostate specific antigen (PSA). MATERIALS AND METHODS: Serum samples were collected from 154 men with serum PSA 2.5 to 15.0 ng/ml and/or abnormal digital rectal examination prior to transrectal ultrasound guided biopsy. Serum samples were applied to WCX2 (weak cation exchange protein chip) Protein Arrays (Ciphergen Biosystems, Fremont, California) by a Biomek 2000 robotic liquid handler (Beckman-Coulter, Chaska, Minnesota) and low molecular weight (less than 20 kDa) proteomic patterns were generated with an API QSTAR Pulsar i LC/MS/MS System (Applied Biosystems, Framingham, Massachusetts). High resolution mass spectra were analyzed with a pattern recognition bioinformatics tool, that is Proteome Quest beta version 1.0 (Correlogic Systems, Inc., Bethesda, Maryland), in an attempt to identify and discover key discriminating ion signatures. Serum samples from 63 men (2 or more negative prostate biopsies in 23, 1 negative biopsy in 10 and biopsy detected prostate cancer [CaP] in 30) were used to train the diagnostic algorithm. The remaining 91 samples, including 28 of prostate cancer and 63 of 1 or more negative biopsies, were analyzed in blinded fashion. RESULTS: The most discriminatory model was found using the WCX2 chip. Testing the remaining 91 men with this model yielded 100% sensitivity and 67% specificity. In other words, if the proteomic pattern had been used to determine the need for prostate biopsy in this cohort of men with PSA between 2.5 and 15.0 ng/ml, 67% (42 of 63) with negative biopsies would have avoided unnecessary biopsy, while no cancers would have been missed. CONCLUSIONS: Our data demonstrate that high resolution mass spectroscopy can generate serum proteomic patterns that discriminate men with elevated PSA due to benign processes from men with CaP even when PSA is within the diagnostic gray zone. We are currently expanding the testing set to determine the reliability of this new technology to decrease unnecessary prostate biopsies without compromising the detection of curable CaP.

Algorithms↗
PubMed2006

Proteomic profiling and identification of immunodominant spore antigens of Bacillus anthracis, Bacillus cereus, and Bacillus thuringiensis.

Differentially expressed and immunogenic spore proteins of the Bacillus cereus group of bacteria, which includes Bacillus anthracis, Bacillus cereus, and Bacillus thuringiensis, were identified. Comparative proteomic profiling of their spore proteins distinguished the three species from each other as well as the virulent from the avirulent strains. A total of 458 proteins encoded by 232 open reading frames were identified by matrix-assisted laser desorption ionization-time-of-flight mass spectrometry analysis for all the species. A number of highly expressed proteins, including elongation factor Tu (EF-Tu), elongation factor G, 60-kDa chaperonin, enolase, pyruvate dehydrogenase complex, and others exist as charge variants on two-dimensional gels. These charge variants have similar masses but different isoelectric points. The majority of identified proteins have cellular roles associated with energy production, carbohydrate transport and metabolism, amino acid transport and metabolism, posttranslational modifications, and translation. Novel vaccine candidate proteins were identified using B. anthracis polyclonal antisera from humans postinfected with cutaneous anthrax. Fifteen immunoreactive proteins were identified in B. anthracis spores, whereas 7, 14, and 7 immunoreactive proteins were identified for B. cereus and in the virulent and avirulent strains of B. thuringiensis spores, respectively. Some of the immunodominant antigens include charge variants of EF-Tu, glyceraldehyde-3-phosphate dehydrogenase, dihydrolipoamide acetyltransferase, Delta-1-pyrroline-5-carboxylate dehydrogenase, and a dihydrolipoamide dehydrogenase. Alanine racemase and neutral protease were uniquely immunogenic to B. anthracis. Comparative analysis of the spore immunome will be of significance for further nucleic acid- and immuno-based detection systems as well as next-generation vaccine development.

Antigens, Bacterial↗
PubMed2026

Proteomic profiling of plasma extracellular vesicles reveals a therapeutically targetable liver-heart axis in cardiac transplantation.

Extracellular vesicle-mediated interorgan communication represents a promising frontier in transplant immunology; however, its role in cardiac allograft rejection remains poorly characterized. We performed proteomic profiling of plasma-derived extracellular vesicles in a rat heterotopic heart transplantation model and identified a distinct liver-predominant protein signature during acute rejection, with antithrombin III (ATIII) emerging as a top candidate. Functional validation revealed that pharmacological extracellular vesicle inhibition intensified systemic and intragraft inflammation, whereas adeno-associated virus-mediated silencing of hepatic ATIII directly accelerated allograft rejection. Conversely, adeno-associated virus-mediated hepatocyte-specific ATIII overexpression attenuated rejection pathology, reduced immune cell recruitment, and markedly prolonged median graft survival. This protective effect was achieved without evidence of coagulopathic complications, indicating an immunomodulatory mechanism beyond ATIII's canonical anticoagulant function. Mechanistically, ATIII overexpression was associated with upregulation of heme oxygenase-1 (HO-1) in the liver and suppression of proinflammatory cytokine expression in the graft. These findings highlight hepatocyte-derived extracellular vesicles as important mediators of a liver-heart signaling axis in transplant rejection and further implicate the protein ATIII as a contributor to this axis. Our study reveals a therapeutically targetable liver-heart signaling axis in transplant rejection, whereby enhancing liver-derived ATIII or its downstream pathways (such as HO-1) could attenuate acute cardiac allograft rejection.

Animals↗
PubMed2006

[Serum proteomic profiles of the subjects with esophageal precancerous and cancerous lesions from Linzhou, an area with high incidence of esophageal cancer in Henan Province, Northern China].

BACKGROUND & OBJECTIVE: Some molecular changes occurred in esophageal precancerous and cancerous lesions could be reflected in the serum, but the clinical application is limited because of their low sensitivity and specificity. Serum proteomic profiling is much desirable in identifying the proteins closely related to esophageal carcinogenesis. This study was to characterize the serum protein profiles of the subjects with normal esophagus, esophageal precancerous and cancerous lesions from Linzhou, the area with the highest incidence of esophageal carcinoma (EC) in Henan Province, Northern China. METHODS: Proteomic spectra were generated with surface-enhanced laser desorption/inionation-time of flight-mass spectra (SELDI-TOF-MS) and weak cation exchange (WCX2) protein chip system, and analyzed by bioinformatics like decision tree classification algorithm on a set of serum from 130 symptom-free subjects [including 63 cases with normal esophageal epithelia, 40 with basal cell hyperplasia (BCH), and 27 with dysplasia (DYS)] and 30 EC patients from Linzhou. RESULTS: One protein in BCH group with a ratio of mass to charge (M/Z) of M9 306.61 u, 1 in DYS group with a M/Z ratio of M13 765.9 u, and 2 in EC group with M/Z ratios of M2 942.15 u and M15 953.4 u were selected to build 3 decision tree classification models to identify the subjects with BCH, DYS, and EC, respectively. With these classification models, the sensitivities of identifying BCH, DYS and EC were 57.5% (23/40), 88.8% (24/27) and 96.6% (29/30), respectively, in the training sets, and 57.5% (23/40), 66.6% (18/27) and 60.0% (18/30), respectively, in the test sets; the specificities of identifying BCH, DYS and EC were 96.8% (61/63), 63.4% (40/63) and 92.0% (58/63), respectively, in the training sets, and 95.2% (60/63), 71.4% (45/63) and 84.1% (53/63), respectively, in the test sets. CONCLUSION: The protein sets with M/Z ratios of M9 306.61 u, M13 765.9 u, M2 942.15 u, and M15 953.4 u may contain promising serum biomarkers for screening the subjects with high-risk of EC.

Adult↗
PubMed2004

Genomic and proteomic profiles of heart disease.

Genomics and proteomics are becoming powerful tools for profiling diseased states. The human genome is estimated to encode 30,000 to 40,000 genes, generating more than 100,000 functionally distinct proteins. Microarray data are available for multiple models of heart disease as well as for diseased and failing human hearts. Similarly, two-dimensional gel data banks of normal and diseased myocardium from multiple species are published and are available on the Internet. The combined technologies are beginning to provide new insights into the causes and pathways of cardiac dysfunction. This article reviews the novel findings that have been acquired from genomic and proteomic screens of diseased hearts in animal models and humans.

Animals↗
PubMed2006

Urine proteomic profiling of pediatric nephrotic syndrome.

The prognosis of pediatric nephrotic syndrome (NS) correlates with the responsiveness to glucocorticoid therapy. Steroid-resistant NS (SRNS) patients progress to end-stage renal disease, while steroid-sensitive NS (SSNS) and steroid-dependent (SDNS) patients do not. We have performed proteomic profiling of urine samples from a cross section of pediatric and adolescent subjects with SSNS, SRNS, and orthostatic proteinuria (OP) to identify urinary biomarkers of steroid resistance. We performed surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF MS) on urine from 19 subjects with SSNS/SDNS in remission, 14 with SSNS/SDNS in relapse, 5 with SRNS in relapse, and 6 with OP. Genetic algorithm search of principal component space revealed a group of five peaks distinguishing SRNS subjects, with mass/charge (m/z) values of 3,917.07, 4,155.53, 6,329.68, 7,036.96, and 11,117.4. Our analyses identified the peak at m/z 11,117.4 with an accuracy of 95% for classifying SRNS. Multidimensional protein fractionation and mass spectrometric analysis of SRNS urine samples combined with immunodepletion identified the 11,117.4 protein as beta2-microglobulin (B2M). Using an unbiased protein profiling approach, we have validated previously reported findings of B2M as a biomarker associated with SRNS. Prospective studies are warranted to establish additional biomarkers that would be predictive of SRNS.

Adolescent↗
PubMed2006

Proteome profile changes that are differentially regulated by lipid and protein phosphatase activities of tumor suppressor PTEN in PTEN-expressing U-87 MG human glioblastoma cells.

The phosphatase and tensin homolog tumor suppressor (PTEN) belongs to a class of "gatekeeper" tumor suppressors together with p53, retinoblastoma and adenomatous polyposis. It is considered one of the most important tumor suppressors in the post p53 era. Previously to identify the molecules involved in the signaling network regulated by PTEN using proteomic tools, we reported global proteome profiles at different time points using the PTEN inducible NIH3T3 cells (Kim, S.-y., Kim, Y. S., Bahk, Y. Y., Mol. Cells 2003, 15, 396-405). However, the system had a critical limitation that NIH3T3 cell has endogenous wild-type PTEN and, thus to be exact, the induced PTEN could not give the answer about the real physiological roles of this tumor suppressor. Here, to find out PTEN-related protein network we have established various PTEN (wild-type, an activity inert C124G, and a lipid phosphatase deficient G129E)-expressing cell clones in U-87 MG human glioblastoma cells lacking detectable PTEN as a result of genetic lesions. In this biological context, we compared their morphological and expression patterns, and proteome images of each PTEN-expressing cell clone by 2-DE followed by identification with MALDI-TOF MS. We obtained some pieces of evidence that morphological change by PTEN expression is mediated by its protein phosphatase activity and their growth rate by the lipid phosphatase activity. The proteomic approaches showed that 30 proteins possibly correlated with PTEN's protein phosphatase activity (13 down-regulated and 17 up-regulated) and 20 with the lipid phosphatase activity (14 down-regulated and 6 up-regulated) were identified. Taken together, we conclude that the comparative analysis of proteome from various PTEN-expressing cells has yielded interpretable data to elucidate the protein network directly and/or indirectly caused by individual phosphatase activities of PTEN in vivo.

Blotting, Western↗
PubMed2006

Comparative proteomic profiles and the potential markers between Burkholderia pseudomallei and Burkholderia thailandensis.

Burkholderia pseudomallei is a bacterial pathogen causing the melioidosis disease, which is predominantly found in tropical areas of Southeast Asia and Northern Australia. Burkholderia thailandensis is a closely related species to B. pseudomallei but it is non-pathogenic species. In this study, we have constructed a proteome reference map of B. pseudomallei at the stationary phase of growth by using two-dimensional gel electrophoresis with a pH 4-7 immobilized pH gradient combined with matrix-assisted laser desorption ionization time of flight mass spectrometry. Approximately 550 spots could be detected by Coomassie brilliant blue G-250 staining, and 88 spots representing 77 unique proteins were identified. Eleven of the gene products were found in multiple spots indicating as isoforms. In attempt to detect distinctive expressed proteins between a virulent and a non-virulent species, the use of comparative proteomic profiles under the same condition were performed. We could identify more than 20 different spots. Twelve out of 14 spots are detected in B. pseudomallei and six proteins have been identified and indicated that they are involved in virulent characters of bacteria. Two hypothetical proteins were expressed and found only in B. pseudomallei. These proteins are potential markers to distinguish between these two species. Our study also provides a useful information of global intracellular protein expression and is a valuable starting point for analyzing a proteomic pathogenicity of the bacterial pathogen.

Amino Acid Sequence↗
PubMed2005

Proteomic profiling and neurodegeneration in West-Nile-virus-infected neurons.

West Nile virus, a mosquito-borne flavivirus, is a human, equine, and avian pathogen. High-resolution two-dimensional differential-gel electrophoresis (2D-DIGE) was used to characterize protein expression in primary rat neurons and to examine the proteomic profiling to understand the pathogenesis of West-Nile-associated meningoencephalitis. Three pH ranges, 3-10, 4-7, and 5-6, were used to analyze the protein spots. The proteins are labeled with fluorescent dyes Cy3 and Cy5 before being separated on the basis of charge and size respectively on a two-dimensional platform. About 55 proteins showed altered expression levels. These were then subsequently digested and identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis using peptide mass fingerprinting and database searching. These cellular proteins could represent distinct roles during infection related to apoptosis. Our findings show that two-dimensional differential gel electrophoresis combined with mass spectrometry is a powerful approach that permits the identification of proteins whose expression was altered due to West Nile virus infection.

Journal Article↗
PubMed2026

Differential Proteomic Profiling of Responders and Non-responders to Direct-Acting Antivirals Treatment in Chronic Hepatitis C Virus Infection.

Hepatitis C Virus (HCV), particularly genotype 3 (GT-3), is highly prevalent in India and is associated with faster progression to cirrhosis, hepatocellular carcinoma, and higher treatment failure rates. Although Direct-Acting Antivirals (DAAs) have revolutionized HCV therapy, 5-10% of patients fail to achieve sustained virological response (SVR). This proteomic study aimed to identify changes in the proteomic profile before and after treatment of both responders and non-responders to HCV treatment. Paired plasma samples from HCV GT-3 infected patients were collected before and 12 weeks after initiating DAAs treatment, along with healthy controls. Quantitative proteomic analysis was performed on the paired samples. Differentially expressed proteins (DEPs) were identified and subjected to functional analysis including gene set enrichment analysis (GSEA) and protein-protein interaction (PPI) network analysis. GSEA revealed enrichment in extracellular matrix organization and innate immune pathways. Expression patterns of candidate proteins selected based on fold change and false discovery rate (FDR) criteria were further evaluated in an independent cohort. Western blot confirmed key expression trends of candidate proteins. Proteins linked to extracellular matrix remodeling and angiogenesis showed differential expression patterns. Successful validation of these candidate proteins in large independent cohorts holds potential to predict therapeutic outcomes.

Humans↗
PubMed2006

Proteomic profiling of cell envelope-associated proteins from Staphylococcus aureus.

The emergence of highly virulent community acquired Staphylococcus aureus and continued progression of resistance to multiple antimicrobials, including methicillin and vancomycin, marks the reemergence of S. aureus as a serious health care threat. Investigation of proteins localized to the cell surface could help to elucidate mechanisms of virulence and antibiotic resistance in S. aureus. In this study, proteomic profiling methods were developed to solubilize, display, and evaluate abundance levels of proteins present in the supernatants of the lysostaphin-digested cell envelope from cultured vancomycin-intermediate S. aureus (VISA) cells. Combining approaches of 2-DE or chromatographic separation of proteins with MS analyses resulted in the identification of 144 proteins of particular interest. Of these proteins, 48 contained predicted cell wall localization or export signal motifs, including 14 with distinct covalent peptidoglycan-anchor sites, four of which are uncharacterized to date. One of the two most abundant cell envelope proteins, which showed remarkably high variations in MW and pI in the 2-DE gel display, was the S. aureus surface protein G. The display of numerous secreted proteins that are not covalently cell wall-anchored, suggests that, in the exponential growth phase, secreted proteins can be retained physiologically in the cell envelope and may interact with cell wall-anchored proteins and carbohydrate structures in a manner yet to be determined. The remaining 96 proteins, devoid of recognizable motifs, were repeatedly profiled in the VISA cell envelope fractions. We describe a novel semiquantitative method to determine abundance factors of such proteins in 2-DE gels of cell envelope fractions relative to whole cell lysates and discuss these data in the context of true cell envelope localization versus experimentally caused cell lysis.

Amino Acid Sequence↗
PubMed2006

Plasma proteomic profiling: search for lung cancer diagnostic and early detection markers.

Environmental and occupational exposure to asbestos is among the established risk factors for lung cancer, the leading cause of cancer-related deaths in the United States. This link between exposure to asbestos and the excessive death rate from lung cancer was evident in a study of former workers of an asbestos pipe insulation manufacturing plant in Tyler, TX. We performed comparative proteomic profiling of plasma samples that were collected from nine patients within 12 months before death and their age-, race- and exposure-matched disease-free controls on strong anion exchange chips using surface-enhanced laser desorption ionization time-of-flight mass spectrometry. A distance-dependent K-nearest neighbor (KNN) classification algorithm identified spectral features of m/z values 7558.9 and 15103.0 that were able to distinguish lung cancer patients from disease-free individuals with high sensitivity and specificity. The high correlation between the intensities of these two peaks (r=0.987) strongly suggests that they are the doubly and singly charged ions of the same protein product. Examination of these proteomic markers in the plasma samples of subjects from >5 years before death from lung cancer suggested that they are related to the early development of lung cancer. Validation of these biomarkers would have significant implications for the early detection of lung cancer and better management of high-risk patients.

Adult↗
PubMed2005

Novel biomarkers of human growth hormone action from serum proteomic profiling using protein chip mass spectrometry.

CONTEXT: The detection of exogenous human GH (hGH) administration in athletes poses unique analytical problems, because its short circulating half-life provides only a brief opportunity to detect the administered hormone above endogenous levels. Measurement of novel GH-regulated serum protein biomarkers might provide an indirect method to detect exogenous GH. OBJECTIVE: The objective of this study was to identify new serum biomarkers of GH administration using proteomic profiling. DESIGN: Sera from a previously reported, double-blind, placebo-controlled GH administration trial were analyzed by protein chip mass spectrometry. SETTING: The study was performed at clinical research centers. SUBJECTS: Sixty healthy subjects, aged 18-40 yr, who were not elite athletes, were studied. INTERVENTIONS: Placebo or recombinant hGH treatment (0.1 or 0.2 IU/kg.d; 20 subjects/group) was administered for 4 wk, followed by an 8-wk washout period. MAIN OUTCOME MEASURES: Protein mass profiles were determined on immobilized Cu(2+) chips on d 0 and 21 of GH administration, and multivariate analysis was used to classify subjects into GH and placebo administration groups. RESULTS: When assessed by cross-validation, the classification performance of classifiers based on multivariate analysis of several GH-regulated peaks performed no better than classifiers based on the single best peak. This peak, a prominent biomarker of 15.1 kDa, was purified and identified as hemoglobin alpha-chain. The time course of the GH response of this biomarker is similar to that of other GH-dependent markers, such as IGF-I. CONCLUSION: This study demonstrates that protein mass profiling is an effective tool for the detection of GH administration and suggests that measurement of hemoglobin alpha-chain may have utility as a novel serum biomarker of GH action.

Adolescent↗
PubMed2026

Functional and Proteomic Profiles of CD3(+) Plasma-Derived Small Extracellular Vesicles Differentiate Cancer Patients From Healthy Donors.

Small extracellular vesicles (sEV) released by T cells play a key role in immune regulation. Immune capture with anti-CD3 antibodies was used to isolate and study T cell-derived CD3(+)sEV from the plasma of patients with melanoma (MPs) or healthy donors (HDs). Functional responses induced in recipient target cells by CD3(+)sEV of MPs differed from responses induced by CD3(+)sEV of HDs. Approximating functions mediated by melanoma cell-derived sEV (MTEX), CD3(+)sEV of MPs reduced metabolic activity and proliferation of T cells while promoting activity in Mel526 cell targets. Proteomics profiling confirmed functional differences between CD3(+)sEV of MPs and HDs. Of 294 sEV-specific proteins identified in CD3(+)sEV, 226 were detected in the parent T cell proteome, confirming that the CD3(+)sEV proteome mimics that of the parent T lymphocytes. Among them were 66 differentially expressed proteins (DEPs) that differentiated vesicles from MPs and HDs. These DEPs were associated with processes linked to cancer-related functions. DEPs upregulated in CD3(+)sEV of MPs were associated with RHO-GTPase, cytokine, and MAPK signaling pathways. Thus, T cells of MPs were reprogrammed by MTEX to produce CD3(+)sEV that functionally resembled MTEX, partly recapitulated features of the tumor proteome, and differed from CD3(+)sEV of HDs. In cancer, the TEX-rewired T cells produce CD3(+)sEV that potentially could serve as a liquid biopsy of patients' T cells.

Humans↗
PubMed2003

Proteomic profiling drug-induced apoptosis in non-small cell lung carcinoma: identification of RS/DJ-1 and RhoGDIalpha.

The growing knowledge of the tight connection between apoptosis and cancer has lead to an explosion of research revolving around apoptotic induction with chemotherapeutic agents and small molecule inhibitors. The chemotherapeutic agent paclitaxel (Taxol) activates mitogen-activated protein kinase kinase (MEK)/extracellular signal-regulated kinase and, combined with MEK inhibition, synergistically enhances apoptosis. Here we implement a proteomic approach using two-dimensional gels coupled with mass spectrometry to identify proteins altered with this coordinated combination treatment. We found that the combined treatment of paclitaxel and MEK inhibitor uniquely altered the proteins RS/DJ-1 (RNA-binding regulatory subunit/DJ-1 PARK7) and RhoGDIalpha (Rho GDP-dissociation inhibitor alpha). Functional proteomic analysis by exogenous expression or short interfering RNA targeting confirmed a role in survival and apoptosis for these proteins. Analysis of primary lung tumors with matched adjacent normal tissue confirmed RS/DJ-1 overexpression in non-small cell lung carcinoma. This study shows the power of proteomic profiling coupled with functional analysis for the discovery of novel molecular targets and potential cancer cell-specific biomarkers.

Antineoplastic Combined Chemotherapy Protocols↗
PubMed2003

Proteomic profiling of cancer biomarkers.

Early detection and correct diagnosis are essential for effective treatment of cancer and patient survival. Complete sequencing of the human genome, and the genomes of other species, provides valuable tools for discerning the genetic abnormalities in cancer. However, differences between cancerous and normal cells reflect more than variations in genetic sequences and abundance of transcribed RNA. Many cancer biomarkers are manifestation of differences in post-transcriptional splicing and/or post-translational modifications. Thus, proteomic tools are being increasingly utilised in the post-genomic era for discovery of new cancer biomarkers. In this paper we will provide an overview of the biomarker discovery process from the proteomic profiling point of view, with emphasis given to the principles that are involved in the process, including the protein identification strategies, and how surface enhanced laser desorption ionisation mass spectrometry fits into the picture. The aim is to provide a resource for the experimental practitioner seeking awareness of the analytical tools that are now available in contemporary cancer research.

Biomarkers, Tumor↗
PubMed2004

Serum proteomic profiles suggest celecoxib-modulated targets and response predictors.

Cyclooxygenase-2 is a valid target for cancer prevention and treatment. This has been shown in preclinical and clinical cancer prevention studies by using a cyclooxygenase-2 inhibitor, celecoxib. When used in a randomized cancer prevention clinical trial on patients with the inherited autosomal dominant condition, familial adenomatous polyposis, celecoxib proved efficacious. However, a remarkable heterogeneity in patients' responses to the chemopreventive effects of celecoxib was observed. Proteomic profiling of sera from these patients identified several markers, the expression of which was specifically modulated after treatment with celecoxib. A decision tree algorithm identified classifiers for response to celecoxib with relatively high sensitivity but moderate to low specificity. In particular, a spectral feature at m/z 16,961.4 was identified as a strong discriminator between response and nonresponse to celecoxib at the highest dose.

Adenomatous Polyposis Coli↗
PubMed2005

Gefitinib-responsive EGFR-positive colorectal cancers have different proteome profiles from non-responsive cell lines.

Biomarkers that predict response to therapy with inhibitors of epidermal growth factor receptor (EGFR) tyrosine kinase remain largely uncharacterized. In order to define proteins involved in potential resistance mechanisms, we examined the effect of gefitinib (ZD1839, Iressa) in the EGFR-positive colon cancer cell lines Caco-2, DiFi, HRT-18 and HT-29. None of them exhibited an activating mutation in exons 19 or 21 of EGFR. Proteome profiling with two-dimensional polyacrylamide gel electrophoresis followed by mass spectrometry revealed 12 proteins differentially expressed in responsive and non-responsive cells. These proteins are involved in metabolic pathways, partially relevant in malignant growth and four of them are known to interact with the EGFR signalling pathway. Ubiquitin carboxyl-terminated hydrolase isozyme L1 (UCH-L1) and galectin-3 are overexpressed in the responsive cell line Caco-2, whereas fatty acid-binding protein (E-FABP) and heat shock protein (hsp) 27 are expressed more in the resistant cell lines HRT-18 and HT-29 suggesting a role in non-responsiveness of cells to gefitinib.

Antineoplastic Agents↗