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At least 1,657 records · Page 92Linked to original sources
PubMed2005

Gene expression profile identifies a rare epithelioid variant case of pleomorphic liposarcoma carrying FUS-CHOP transcript.

AIMS: To describe a tumour with morphological and immunophenotypic characteristics of epithelioid variant of pleomorphic liposarcoma. Pleomorphic liposarcoma is a very rare variant of liposarcoma defined morphologically by the presence of pleomorphic lipoblasts showing peculiar epithelial-like features that can be confused with primary or metastatic carcinoma. METHODS AND RESULTS: Molecular analysis demonstrated for the first time the presence of FUS-CHOP transcript in this liposarcoma variant. Microarray analysis revealed a gene expression profile related to a more aggressive tumour type when compared with other myxoid/round cell liposarcomas. CONCLUSIONS: The present data show that the epithelioid variant of pleomorphic liposarcoma represents a further variant of myxoid liposarcoma sharing the FUS-CHOP fusion transcript but carrying a distinct expression profile, in keeping with its aggressive clinical course.

Antigens, CD34↗
PubMed2005

An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data.

This paper introduces a novel generic approach for classification problems with the objective of achieving maximum classification accuracy with minimum number of features selected. The method is illustrated with several case studies of gene expression data. Our approach integrates filter and wrapper gene selection methods with an added objective of selecting a small set of non-redundant genes that are most relevant for classification with the provision of bins for genes to be swapped in the search for their biological relevance. It is capable of selecting relatively few marker genes while giving comparable or better leave-one-out cross-validation accuracy when compared with gene ranking selection approaches. Additionally, gene profiles can be extracted from the evolving connectionist system, which provides a set of rules that can be further developed into expert systems. The approach uses an integration of Pearson correlation coefficient and signal-to-noise ratio methods with an adaptive evolving classifier applied through the leave-one-out method for validation. Datasets of gene expression from four case studies are used to illustrate the method. The results show the proposed approach leads to an improved feature selection process in terms of reducing the number of variables required and an increased in classification accuracy.

Artificial Intelligence↗
PubMed2005

Up regulated expression of tumour necrosis factor {alpha} converting enzyme in peripheral monocytes of patients with early systemic sclerosis.

BACKGROUND: Systemic sclerosis (SSc) is accompanied by abnormalities in humoral and cellular immune systems. OBJECTIVE: To determine the genes specifically expressed in the immune system in SSc by analysis of the gene expression profile of peripheral blood mononuclear cells (PBMC) from patients with SSc, including those treated with haematopoietic stem cell transplantation (HSCT). Additionally, to investigate the clinical significance of the up regulation of tumour necrosis factor alpha (TNFalpha) converting enzyme (TACE). METHODS: PBMC from patients with SSc (n = 23) and other autoimmune diseases (systemic lupus erythematosus (SLE, n = 16), rheumatoid arthritis (RA, n = 29)), and from disease-free controls (n = 36) were examined. Complementary DNA arrays were used to evaluate gene expression of PBMC, in combination with real time quantitative polymerase chain reactions. TACE protein expression in PBMC was examined by fluorescence activated cell sorter (FACS). RESULTS: In patients with SSc 118 genes were down regulated after HSCT. Subsequent comparative analysis of SSc without HSCT and healthy controls indicated SSc-specific up regulation for three genes: monocyte chemoattractant protein-3 (p = 0.0015), macrophage inflammatory protein 3alpha (p = 0.0339), and TACE (p = 0.0251). In the FACS analysis, TACE protein was mainly expressed on CD14(+) monocytes both in patients with SSc and controls. TACE expression on CD14(+) cells was significantly increased in patients with early SSc (p = 0.0096), but not in those with chronic SSc, SLE, or RA. TACE protein levels in SSc monocytes correlated with the intracellular CD68 levels (p = 0.0016). CONCLUSIONS: Up regulation of TACE expression was a unique profile in early SSc, and may affect the function of TNFalpha and other immunoregulatory molecules.

ADAM Proteins↗
PubMed2004

Risk stratification and prognostic implication of plasma biomarkers in nondiabetic patients with stable coronary artery disease: the role of high-sensitivity C-reactive protein.

STUDY OBJECTIVES: To evaluate the implication of plasma biomarkers to future cardiovascular events in nondiabetic patients with stable coronary artery disease (CAD). Designs and settings: Prospective, follow-up study at a tertiary referral center. Patients and measurement: Serial plasma biomarkers including high-sensitivity C-reactive protein (hsCRP), homocysteine, soluble adhesion molecules, von Willebrand factor, and lipid profiles were determined before coronary angiograms in a series of nondiabetic CAD patients with stable angina. Among them, 75 consecutive patients who received coronary revascularization (48 coronary interventions and 27 coronary bypass surgeries) later and another 75 age- and gender-matched patients who preferred medical treatment were both enrolled. In patients of each group, major cardiovascular events including cardiac death, nonfatal myocardial infarction, new or repeated coronary revascularization, and hospitalization for unstable angina, stroke, or peripheral artery disease were prospectively followed up for at least 6 months. RESULTS: Patients were followed up to 40 months (median, 18 months). The incidences of major cardiovascular events were similar between the two groups. For patients with medical treatment, plasma levels of hsCRP, homocysteine, low-density lipoprotein, and the ratio of total cholesterol (TC) to high-density lipoprotein cholesterol (HDL-C) were significantly higher in those with cardiovascular events than those without. However, only hsCRP > 0.1 mg/dL (relative risk [RR], 2.78; 95% confidence interval [CI], 1.21 to 6.41; p = 0.016) and TC/HDL-C ratio > 4.8 (RR, 2.42; 95% CI, 1.04 to 5.65; p = 0.041) were independent predictors by multivariable analysis. For patients with revascularization, basal plasma hsCRP levels were higher in those with cardiovascular events than those without (p = 0.04). However, no biochemical markers could predict future major cardiovascular events in these patients. CONCLUSIONS: In nondiabetic patients with CAD, basal plasma hsCRP levels were increased with future cardiovascular events regardless of different treatment strategies. Both plasma hsCRP level and TC/HDL-C ratio independently predict future cardiovascular events, confirming the role of plasma biomarkers in clinical risk stratification especially in patients with medical treatment.

Aged↗
PubMed2006

Genomic profiling of mixer and Sox17beta targets during Xenopus endoderm development.

The transcription factors Mixer and Sox17beta have well-characterized roles in endoderm specification during Xenopus embryogenesis. In order to more thoroughly understand the mechanisms by which these endodermal regulators act, we expressed Mixer and Sox17beta in naïve ectodermal tissue and, using oligonucleotide-based microarrays, compared their genomic transcriptional profile to that of unaffected tissue. Using this approach, we identified 71 transcripts that are upregulated by Mixer or Sox17beta, 63 of which have previously uncharacterized roles in endoderm development. Furthermore, an in situ hybridization screen using antisense probes for several of these clones identified six targets of Mixer and/or Sox17beta that are expressed in the endoderm during gastrula stages, providing new and regional markers of the endoderm. Our results contribute further insight into the functions of Mixer and Sox17beta and bring us closer to understanding at the molecular level the pathways that regulate endoderm development.

Animals↗
PubMedDate not supplied

Genome-wide screening of genes showing altered expression in liver metastases of human colorectal cancers by cDNA microarray.

In spite of intensive and increasingly successful attempts to determine the multiple steps involved in colorectal carcinogenesis, the mechanisms responsible for metastasis of colorectal tumors to the liver remain to be clarified. To identify genes that are candidates for involvement in the metastatic process, we analyzed genome-wide expression profiles of 10 primary colorectal cancers and their corresponding metastatic lesions by means of a cDNA microarray consisting of 9121 human genes. This analysis identified 40 genes whose expression was commonly upregulated in metastatic lesions, and 7 that were commonly downregulated. The upregulated genes encoded proteins involved in cell adhesion, or remodeling of the actin cytoskeleton. Investigation of the functions of more of the altered genes should improve our understanding of metastasis and may identify diagnostic markers and/or novel molecular targets for prevention or therapy of metastatic lesions.

Biomarkers, Tumor↗
PubMed2006

Multi-level gene expression profiles affected by thymidylate synthase and 5-fluorouracil in colon cancer.

BACKGROUND: Thymidylate synthase (TS) is a critical target for cancer chemotherapy and is one of the most extensively studied biomarkers for fluoropyrimidine-based chemotherapy. In addition to its critical role in enzyme catalysis, TS functions as an RNA binding protein to regulate the expression of its own mRNA translation and other cellular mRNAs, such as p53, at the translational level. In this study, a comprehensive gene expression analysis at the levels of both transcriptional and post-transcriptional regulation was conducted to identify response markers using human genome array with TS-depleted human colon cancer HCT-C18 (TS-) cells and HCT-C18 (TS+) cells stably transfected with the human TS cDNA expression plasmid. RESULTS: A total of 38 genes were found to be significantly affected by TS based on the expression profiles of steady state mRNA transcripts. However, based on the expression profiles of polysome associated mRNA transcripts, over 149 genes were affected by TS overexpression. This indicates that additional post-transcriptionally controlled genes can be captured with profiling polysome associated mRNA population. This unique approach provides a comprehensive overview of genes affected by TS. Additional novel post-transcriptionally regulated genes affected by 5-fluorouracil (5-FU) treatment were also discovered via similar approach. CONCLUSION: To our knowledge, this is the first time that a comprehensive gene expression profile regulated by TS and 5-FU was analyzed at the multiple steps of gene regulation. This study will provide candidate markers that can be potentially used for predicting therapeutic outcomes for fluoropyrimidine-based cancer chemotherapy.

Antimetabolites, Antineoplastic↗
PubMed2003

Profile of gene expression induced by the tumour promotor TPA in murine epithelial cells.

Malignant transformation of mouse skin by chemical carcinogens and tumour promoters, such as the phorbol ester 12-O-tetradecanoylphorbol-13-acetate (TPA), is a multistage process that leads to squamous cell carcinoma (SCC) formation. In an effort to identify tumour-associated genes, we studied the influence of short-term TPA-treatment on the gene expression profile of murine skin. A comprehensive microarray with some 5,000 murine gene specific cDNA fragments was established and hybridised with pooled RNA derived from control and TPA-treated dorsal skin samples. Of these genes, 54 were up- and 35 were down-regulated upon TPA application. Additionally, we performed suppression subtractive hybridisation (SSH) with respective RNA pools to generate and analyse a cDNA library enriched for TPA-inducible genes. Expression data of selected genes were confirmed by quantitative real-time PCR and Northern blot analysis. Comparison of microarray and SSH data revealed that 26% of up-regulated genes identified by expression profiling matched with those present in the SSH library. Besides numerous known genes, we identified a large set of unknown cDNAs that represent previously unrecognised TPA-regulated genes in murine skin with potential function in tumour promotion. Additionally, some TPA-induced genes, such as Sprr1A, Saa3, JunB, Il4ralpha, Gp38, RalGDS and Slpi exhibit high basal level in advanced stages of skin carcinogenesis, suggesting that at least a subgroup of the identified TPA-regulated genes may contribute to tumour progression and metastasis.

Animals↗
PubMed2006

Proteomic signatures in laryngeal squamous cell carcinoma.

Laryngeal cancer remains a worldwide health problem. The identification of biomarkers unique to laryngeal cancer may provide new insights into its pathogenesis, as well as provide potential targets for novel therapies and early detection. In order to identify potential biomarkers, we performed a proteomic analysis of laryngeal cancer specimens. Using two-dimensional differential in-gel electrophoresis and mass spectroscopy, protein expression profiles from two laryngeal carcinoma specimens and corresponding adjacent normal tissue were analyzed. The results of our analysis showed that the expression of a number of proteins was significantly altered in the tumor specimens when compared to matched normal controls. The differentially expressed proteins were identified, and they included stratifin, S100 calcium-binding protein A9, p21-ARC, stathmin, and enolase. With these findings, we have identified potential biomarkers which may contribute to the pathogenesis of laryngeal carcinoma, and which may be suitable as targets for novel therapeutic and/or diagnostic modalities.

14-3-3 Proteins↗
PubMed2005

Fishing for biomarkers: analyzing mass spectrometry data with the new ClinProTools software.

Recently, applications of mass spectrometry in the field of clinical proteomics have gained tremendous visibility in the scientific and clinical community. One major objective is the search for potential biomarkers in complex body fluids like serum, plasma, urine, saliva, or cerebral spinal fluid. For this purpose, efficient visualization of large data sets derived from patient cohorts is crucial to provide clinical experts an interactive impression of the data quality. Additionally, it is necessary to apply statistical analysis and pattern matching algorithms to attain validated signal patterns that may allow for later applications in sample classification. We introduce the new ClinProTools bioinformatics software, which performs all major steps of profiling, screening, and monitoring applications in clinical proteomics. ClinProTools is the data interpretation software of the mass spectrometry-based ClinProt solutions for biomarker analysis. ClinProTools performs data pretreatment, visualization, statistics, pattern determination, pattern evaluation, and classification of spectra. This article will focus on ClinProTool's powerful and intuitive visualization options for clinical proteomics applications.

Algorithms↗
PubMed2024

Free-water: A promising structural biomarker for cognitive decline in aging and mild cognitive impairment.

Diffusion MRI derived free-water (FW) metrics show promise in predicting cognitive impairment and decline in aging and Alzheimer's disease (AD). FW is sensitive to subtle changes in brain microstructure, so it is possible these measures may be more sensitive than traditional structural neuroimaging biomarkers. In this study, we examined the associations among FW metrics (measured in the hippocampus and two AD signature meta-ROIs) with cognitive performance, and compared FW findings to those from more traditional neuroimaging biomarkers of AD. We leveraged data from a longitudinal cohort (nparticipants = 296, nobservations = 870, age at baseline: 73 ± 7 years, 40% mild cognitive impairment [MCI]) of older adults who underwent serial neuropsychological assessment (episodic memory, information processing speed, executive function, language, and visuospatial skills) and brain MRI over a maximum of four time points, including baseline (n = 284), 18-month (n = 246), 3-year (n = 215), and 5-year (n = 125) visits. The mean follow-up period was 2.8 ± 1.3 years. Structural MRI was used to quantify hippocampal volume, in addition to Schwarz and McEvoy AD Signatures. FW and FW-corrected fractional anisotropy (FAFWcorr) were quantified in the hippocampus (hippocampal FW) and the AD signature areas (SchwarzFW, McEvoyFW) from diffusion-weighted (dMRI) images using bi-tensor modeling (FW elimination and mapping method). Linear regression assessed the association of each biomarker with baseline cognitive performance. Additionally, linear mixed-effects regression assessed the association between baseline biomarker values and longitudinal cognitive performance. A subsequent competitive model analysis was conducted on both baseline and longitudinal data to determine how much additional variance in cognitive performance was explained by each biomarker compared to the covariate only model, which included age, sex, race/ethnicity, apolipoprotein-ε4 status, cognitive status, and modified Framingham Stroke Risk Profile scores. All analyses were corrected for multiple comparisons using an FDR procedure. Cross-sectional results indicate that hippocampal volume, hippocampal FW, Schwarz and McEvoy AD Signatures, and the SchwarzFW and McEvoyFW metrics are all significantly associated with memory performance. Baseline competitive model analyses showed that the McEvoy AD Signature and SchwarzFW explain the most unique variance beyond covariates for memory (ΔRadj 2 = 3.47 ± 1.65%) and executive function (ΔRadj 2 = 2.43 ± 1.63%), respectively. Longitudinal models revealed that hippocampal FW explained substantial unique variance for memory performance (ΔRadj 2 = 8.13 ± 1.25%), and outperformed all other biomarkers examined in predicting memory decline (pFDR = 1.95 x 10-11). This study shows that hippocampal FW is a sensitive biomarker for cognitive impairment and decline, and provides strong evidence for further exploration of this measure in aging and AD.

Alzheimer’s disease (AD)↗
PubMed2005

Gastrointestinal stromal tumors in children and young adults: a clinicopathologic, molecular, and genomic study of 15 cases and review of the literature.

Gastrointestinal stromal tumors (GISTs) are mesenchymal tumors of the intestinal tract that typically occur in adults over the age of 40 years. GISTs in younger patients are rare and not well characterized. The objective was to define the characteristics of GISTs in children and young adults (<30 years old). Clinicopathologic and molecular features, including KIT/PDGFRA genotype, in GISTs from 5 children and 10 young adults were analyzed. Gene expression analysis was performed on 5 gastric tumor samples from 2 children, 2 gastric tumors from young adults, and 10 gastric GISTs from older adults using an U133A Affymetrix platform (22,000 genes). All five pediatric GISTs occurred in girls, involved the stomach as multiple nodules, showed predominantly an epithelioid morphology, often involved lymph nodes, and lacked KIT or PDGFRA mutations. Although all five patients developed recurrence (four in the liver, three in the peritoneum, and two in both sites), four are still alive with disease. Of the 10 GISTs in young adults, half occurred in the small bowel and had spindle cell morphology, and one case had lymph node metastasis. KIT mutations were identified in seven cases, four in exon 11 and three in exon 9. Seven patients developed recurrence, and at last follow-up two patients had died of disease. Gene expression analysis showed high expression of PHKA1, FZD2, NLGN4, IGF1R, and ANK3 in the pediatric and young adult versus older adult cases. GISTs that occur in children are a separate clinicopathologic and molecular subset with predilection for girls, multifocal gastric tumors, and wild-type KIT/PDGFRA genotype. In contrast, GISTs in young adults are a more heterogeneous group, including cases that resemble either the pediatric or the older adult-type tumors. The distinct gene expression profile suggests avenues for investigation of pathogenesis and potential therapeutic strategies.

Adolescent↗
PubMed2001

Differential expression of the L-plastin gene in human colorectal cancer progression and metastasis.

To identify molecular alterations in the progression of colorectal carcinoma, we analyzed gene expression profiles of colon cancer cell lines derived from primary and metastatic tumors from a single patient. Of 2280 cDNAs investigated using our in-house microarray, the expression of 6 genes (tumor-associated antigen L6, L-plastin, the human homologue of yeast ribosomal protein S28, the B-cell translocation gene, mitochondrial aspartate-aminotransferase, and HLA-A) increased, while that of 2 genes (keratin 5 and phosphoglucomutase) decreased in metastatic-tumor-derived cells compared with primary-tumor-derived cells. Of these genes, we assessed the L-plastin gene, an actin-bundling protein, at the protein level using a tissue microarray consisting of 58 clinically stratified colorectal cancer specimens. Consistent with our microarray results, the expression of L-plastin was significantly correlated with the progression of cancer staging. Therefore, our results suggest that the L-plastin gene is a potential metastatic marker. In addition, combining cDNA microarrays and tissue arrays, as shown here, is thought to facilitate the rapid characterization of candidate biomarkers.

Antigens, Surface↗
PubMed2004

Gene expression profiling in non-small cell lung cancer: from molecular mechanisms to clinical application.

Non-small cell lung cancer (NSCLC) is the most common cause of premature death from malignant disease in western countries. A better understanding of the molecular mechanisms underlying NSCLC etiology, pathogenesis, and therapeutics will lead to improved clinical outcomes. Recent technological advances in gene expression profiling (in particular, with cDNA and oligonucleotide microarrays) allow the simultaneous analysis of the expression of thousands of genes. In this review, the technology of global gene expression profiling is discussed, and the progress made thus far with it in NSCLC is reviewed. A new molecular classification of NSCLC has been developed, which has provided important insights into etiology and pathogenesis. Other studies have found potential biomarkers for NSCLC that may be of use in diagnosis, screening, and assessing the effectiveness of therapy. Finally, advances have been made in the understanding of the molecular mechanisms of NSCLC progression and the molecular mechanisms of action of currently used cytotoxic drugs. This may facilitate the improvement of current therapeutics and the identification of novel targets. Taken together, these advances hold the promise of an improved understanding of the molecular biology of NSCLC and its treatment, which in turn will lead to improved outcomes for this deadly disease.

Biomarkers, Tumor↗
PubMed2005

Discovering causes and cures for cancer from gene expression analysis.

Tumorigenesis is governed by a series of complex genetic and epigenetic changes. Both mechanisms can result in either the silencing or aberrant expression of messages in a cell. Gene expression profiling techniques such as the serial analysis of gene expression (SAGE) or microarray analysis can provide global overviews of these changes, as well identify key genes and pathways involved in this process. This review outlines the current roles of these techniques in cancer research, and how they may contribute to finding not only mechanisms of this disease, but potential targets for therapy.

Biomarkers, Tumor↗
PubMed2006

Utility of exhaled nitric oxide as a noninvasive biomarker of lung inflammation in a disease model.

There is a great deal of interest in developing less invasive markers for monitoring airway inflammation and the effect of possible novel anti-inflammatory therapies that may take time to impact on disease pathology. Exhaled nitric oxide (eNO) has been shown to be a reproducible, noninvasive indicator of the inflammatory status of the airway in the clinic. The aim of the present study was to determine the usefulness of measuring eNO as a marker of the anti-inflammatory impact of glucocorticoid and an inhibitor of kappaB kinase-2 (IKK-2) inhibitor 2-[(aminocarbonyl)amino]-5-(4-fluorophenyl)-3-thiophenecarboxamide (TPCA-1), in a pre-clinical model of airway inflammation. Rats were given vehicle, budesonide or TPCA-1 prior to exposure to lipopolysaccharide, previously shown to induce an increase in eNO and airway neutrophilia/eosinophilia. Comparison of the effect of the two compounds on inflammatory components demonstrated a significant correlation between the impact on eNO and inflammatory cell burden in the airway. The current study demonstrates the usefulness of profiling potential disease-modifying therapies on exhaled nitric oxide levels and the way in which an effect on this noninvasive biomarker relates to effects on pathological parameters such as lung cellularity. Information from studies such as the current one would suggest that the measurement of exhaled nitric oxide has potential for monitoring inflammatory status in lung tissue.

Amides↗
PubMed2005

Retinoid receptor mRNA expression profiles in human bladder cancer specimens.

Retinoids, which include vitamin A (retinol) and its derivatives, have previously been investigated as potential chemopreventive and chemotherapeutic agents in bladder cancer. We examined mRNA expression of the retinoid receptors RARalpha, RARbeta2, RARgamma and RXRalpha, as well as two putative RARbeta2 target genes, DAB2 and Midkine, in normal and malignant bladder tissue specimens from human patients. We evaluated 24 normal and malignant bladder specimens for retinoid receptor, DAB2 and Midkine mRNA expression using RT-PCR. We also examined the effects of retinoic acid and retinol on the expression of these genes in five human bladder cancer cell lines. Expression of RARalpha, RARbeta2, RARgamma and RXRalpha mRNA was detected in all of the non-neoplastic patient bladder specimens. RARbeta2 mRNA expression was undetectable in 7/13 tumors, RARalpha in 3/13, RARgamma in 1/13 and RXRalpha in 2/13. DAB2 mRNA was expressed in all non-neoplastic and all tumor specimens, while Midkine mRNA was detected in 8/11 non-neoplastic specimens versus 11/13 tumors. Two of the five bladder cancer cell lines expressed RARbeta2 independent of retinoid exposure; in three cell lines RARbeta2 expression was induced by retinoids. RARalpha, RARgamma and RXRalpha mRNA expression was detected in 5/5 cell lines, independent of retinoid exposure. We found a reduction in retinoid receptor mRNA expression, particularly for RARbeta2, in human bladder cancer specimens. We also demonstrated induction of RARbeta2 mRNA expression in some of the retinoid-treated bladder cancer cell lines. We suggest that restoration of RARbeta2 expression may be a reasonable biomarker for developing bladder cancer preventive and/or therapeutic drugs.

Aged↗
PubMed2003

Insulin-like growth factor binding protein-3 is overexpressed in endothelial cells of mouse breast tumor vessels.

Angiogenesis is a key process in a variety of human diseases, including cancer. The ability to target selectively the tumor vasculature is potentially useful for the diagnosis and treatment of cancer. Still, little information is available regarding markers that are restricted to the ECs of tumor vessels. cDNA array technology allows simultaneous analysis of relative expression levels of a broad spectrum of genes in 2 related cell populations. We used this technology with the aim of identifying markers specific for TECs. TECs were isolated by CD31-mediated immunomagnetic separation from tumors induced by s.c. injection of NF9006 breast carcinoma cells into syngeneic mice. NECs were isolated from lactating mammary glands. The endothelial nature of isolated cells was confirmed by RT-PCR using CD31-specific primers and by uptake of DiI-Ac-LDL. Macrophage contamination in the EC isolations could be reasonably ruled out by assessing the expression of the macrophage marker c-fms. (32)P-labeled cDNA probes generated by reverse transcription from total RNA were hybridized to mouse-specific gene arrays. Several genes consistently showed differential expression between TECs and NECs. However, expression of only 1 of these genes, IGFBP-3, was restricted exclusively to ECs. Semiquantitative RT-PCR revealed 22- to 33-fold differential expression of IGFBP-3 in the TEC fraction. IGFBP-3 was overexpressed by a factor of 5 in an additional mouse model of breast carcinoma induced by 4T1.2 tumor cells. These results indicate that IGFBP-3 is a potential novel marker of angiogenesis. Elucidation of its role in tumor neovascularization may open the possibility of IGFBP-3 as a therapeutic target for antiangiogenesis.

Animals↗