Literature DB >> 11226293

High-sensitivity array analysis of gene expression for the early detection of disseminated breast tumor cells in peripheral blood.

K J Martin1, E Graner, Y Li, L M Price, B M Kritzman, M V Fournier, E Rhei, A B Pardee.   

Abstract

Early detection is an effective means of reducing cancer mortality. Here, we describe a highly sensitive high-throughput screen that can identify panels of markers for the early detection of solid tumor cells disseminated in peripheral blood. The method is a two-step combination of differential display and high-sensitivity cDNA arrays. In a primary screen, differential display identified 170 candidate marker genes differentially expressed between breast tumor cells and normal breast epithelial cells. In a secondary screen, high-sensitivity arrays assessed expression levels of these genes in 48 blood samples, 22 from healthy volunteers and 26 from breast cancer patients. Cluster analysis identified a group of 12 genes that were elevated in the blood of cancer patients. Permutation analysis of individual genes defined five core genes (P < or = 0.05, permax test). As a group, the 12 genes generally distinguished accurately between healthy volunteers and patients with breast cancer. Mean expression levels of the 12 genes were elevated in 77% (10 of 13) untreated invasive cancer patients, whereas cluster analysis correctly classified volunteers and patients (P = 0.0022, Fisher's exact test). Quantitative real-time PCR confirmed array results and indicated that the sensitivity of the assay (1:2 x 10(8) transcripts) was sufficient to detect disseminated solid tumor cells in blood. Expression-based blood assays developed with the screening approach described here have the potential to detect and classify solid tumor cells originating from virtually any primary site in the body.

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Year:  2001        PMID: 11226293      PMCID: PMC30192          DOI: 10.1073/pnas.041622398

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

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Authors:  M Zhang; O Volpert; Y H Shi; N Bouck
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2.  A strategy to identify genes associated with circulating solid tumor cell survival in peripheral blood.

Authors:  M V Fournier; M G Carvalho; A B Pardee
Journal:  Mol Med       Date:  1999-05       Impact factor: 6.354

3.  Mammaglobin gene expression: a superior marker of breast cancer cells in peripheral blood in comparison to epidermal-growth-factor receptor and cytokeratin-19.

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Journal:  Lab Invest       Date:  2000-07       Impact factor: 5.662

4.  Detection of MUC1-expressing mammary carcinoma cells in the peripheral blood of breast cancer patients by real-time polymerase chain reaction.

Authors:  P de Cremoux; J M Extra; M G Denis; J Y Pierga; E Bourstyn; C Nos; K B Clough; E Boudou; E C Martin; A Müller; P Pouillart; H Magdelénat
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5.  Linking gene expression patterns to therapeutic groups in breast cancer.

Authors:  K J Martin; B M Kritzman; L M Price; B Koh; C P Kwan; X Zhang; A Mackay; M J O'Hare; C M Kaelin; G L Mutter; A B Pardee; R Sager
Journal:  Cancer Res       Date:  2000-04-15       Impact factor: 12.701

6.  Detection of circulating tumor cells by reverse transcriptase polymerase chain reaction of maspin in patients with breast cancer undergoing conventional-dose chemotherapy.

Authors:  R Sabbatini; M Federico; M Morselli; R Depenni; K Cagossi; M Luppi; G Torelli; V Silingardi
Journal:  J Clin Oncol       Date:  2000-05       Impact factor: 44.544

7.  A comparison of cell cycle markers in well-differentiated lobular and ductal carcinomas.

Authors:  R A Soslow; D L Carlson; M G Horenstein; M P Osborne
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8.  Detection and analysis of cancer cells in blood and bone marrow using a rare event imaging system.

Authors:  S K Kraeft; R Sutherland; L Gravelin; G H Hu; L H Ferland; P Richardson; A Elias; L B Chen
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9.  Molecular detection of cancer cells in bone marrow and peripheral blood of patients with operable breast cancer. Comparison of CK19, MUC1 and CEA using RT-PCR.

Authors:  N Berois; M Varangot; B Aizen; R Estrugo; L Zarantonelli; P Fernández; G Krygier; F Simonet; E Barrios; I Musé; E Osinaga
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10.  Isolation of biologically active ribonucleic acid from sources enriched in ribonuclease.

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  33 in total

1.  A critical evaluation of differential display as a tool to identify genes involved in legume nodulation: looking back and looking forward.

Authors:  S Lievens; S Goormachtig; M Holsters
Journal:  Nucleic Acids Res       Date:  2001-09-01       Impact factor: 16.971

Review 2.  Detection and quantification of gene expression in environmental bacteriology.

Authors:  Freddie H Sharkey; Ibrahim M Banat; Roger Marchant
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3.  Comparative gene expression analysis of blood and brain provides concurrent validation of SELENBP1 up-regulation in schizophrenia.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-13       Impact factor: 11.205

4.  Circulating Tumor Cells in Metastatic Breast Cancer: A Prognostic and Predictive Marker.

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Review 6.  Transcriptional control of the cell cycle in mammary gland development and tumorigenesis.

Authors:  Ricardo D Coletta; Paul Jedlicka; Arthur Gutierrez-Hartmann; Heide L Ford
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Review 7.  Expression profiling of human breast cancers and gene regulation by progesterone receptors.

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Review 8.  Assessing the human immune system through blood transcriptomics.

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9.  Gene expression profiling in whole blood of patients with coronary artery disease.

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10.  A practical platform for blood biomarker study by using global gene expression profiling of peripheral whole blood.

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