Literature DB >> 15150126

Microarray analysis reveals differences in gene expression of circulating CD8(+) T cells in melanoma patients and healthy donors.

Tong Xu1, Chen-Tsen Shu, Elizabeth Purdom, Demi Dang, Diane Ilsley, Yaqian Guo, Jeffrey Weber, Susan P Holmes, Peter P Lee.   

Abstract

Circulating T cells from many cancer patients are known to be dysfunctional and undergo spontaneous apoptosis. We used microarray technology to determine whether gene expression differences exist in T cells from melanoma patients versus healthy subjects, which may underlie these abnormalities. To maximize the resolution of our data, we sort purified CD8(+) subsets and amplified the extracted RNA for microarray analysis. These analyses show subtle but statistically significant expression differences for 10 genes in T cells from melanoma patients versus healthy controls, which were additionally confirmed by quantitative real-time PCR analysis. Whereas none of these genes are members of the classical apoptosis pathways, several may be linked to apoptosis. To additionally investigate the significance of these 10 genes, we combined them into a classifier and found that they provide a much better discrimination between melanoma and healthy T cells as compared with a classifier built uniquely with classical apoptosis-related genes. These results suggest the possible engagement of an alternative apoptosis pathway in circulating T cells from cancer patients.

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Year:  2004        PMID: 15150126     DOI: 10.1158/0008-5472.CAN-03-3396

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  6 in total

1.  Memory T cells have gene expression patterns intermediate between naive and effector.

Authors:  Susan Holmes; Michael He; Tong Xu; Peter P Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-04       Impact factor: 11.205

2.  A gene expression signature from peripheral whole blood for stage I lung adenocarcinoma.

Authors:  Melissa Rotunno; Nan Hu; Hua Su; Chaoyu Wang; Alisa M Goldstein; Andrew W Bergen; Dario Consonni; Angela C Pesatori; Pier Alberto Bertazzi; Sholom Wacholder; Joanna Shih; Neil E Caporaso; Phil R Taylor; Maria Teresa Landi
Journal:  Cancer Prev Res (Phila)       Date:  2011-07-08

3.  Integrating factor analysis and a transgenic mouse model to reveal a peripheral blood predictor of breast tumors.

Authors:  Heather G LaBreche; Joseph R Nevins; Erich Huang
Journal:  BMC Med Genomics       Date:  2011-07-22       Impact factor: 3.063

4.  A "crossomics" study analysing variability of different components in peripheral blood of healthy caucasoid individuals.

Authors:  Kristina Gruden; Matjaž Hren; Ana Herman; Andrej Blejec; Tanja Albrecht; Joachim Selbig; Chris Bauer; Johannes Schuchardt; Michal Or-Guil; Klemen Zupančič; Urban Svajger; Borut Stabuc; Alojz Ihan; Andreja Nataša Kopitar; Maja Ravnikar; Miomir Knežević; Primož Rožman; Matjaž Jeras
Journal:  PLoS One       Date:  2012-01-12       Impact factor: 3.240

5.  Identification of blood biomarkers of rheumatoid arthritis by transcript profiling of peripheral blood mononuclear cells from the rat collagen-induced arthritis model.

Authors:  Jianyong Shou; Christopher M Bull; Li Li; Hui-Rong Qian; Tao Wei; Shuang Luo; Douglas Perkins; Patricia J Solenberg; Seng-Lai Tan; Xin-Yi Cynthia Chen; Neal W Roehm; Jeffrey A Wolos; Jude E Onyia
Journal:  Arthritis Res Ther       Date:  2006-01-10       Impact factor: 5.156

6.  A robust blood gene expression-based prognostic model for castration-resistant prostate cancer.

Authors:  Li Wang; Yixuan Gong; Uma Chippada-Venkata; Matthias Michael Heck; Margitta Retz; Roman Nawroth; Matthew Galsky; Che-Kai Tsao; Eric Schadt; Johann de Bono; David Olmos; Jun Zhu; William K Oh
Journal:  BMC Med       Date:  2015-08-21       Impact factor: 8.775

  6 in total

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