Stromal gene expression predicts clinical outcome in breast cancer (original) (raw)
Kamangar, F., Dores, G.M. & Anderson, W.F. Patterns of cancer incidence, mortality, and prevalence across five continents: defining priorities to reduce cancer disparities in different geographic regions of the world. J. Clin. Oncol.24, 2137–2150 (2006). Article Google Scholar
van 't Veer, L.J. et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature415, 530–536 (2002). ArticleCAS Google Scholar
van de Vijver, M.J. et al. A gene-expression signature as a predictor of survival in breast cancer. N. Engl. J. Med.347, 1999–2009 (2002). ArticleCAS Google Scholar
Perou, C.M. et al. Molecular portraits of human breast tumours. Nature406, 747–752 (2000). ArticleCAS Google Scholar
Wang, Y. et al. Gene-expression profiles to predict distant metastasis of lymph-node–negative primary breast cancer. Lancet365, 671–679 (2005). ArticleCAS Google Scholar
Sorlie, T. et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc. Natl. Acad. Sci. USA98, 10869–10874 (2001). ArticleCAS Google Scholar
Chi, J.T. et al. Gene expression programs in response to hypoxia: cell type specificity and prognostic significance in human cancers. PLoS Med.3, e47 (2006). Article Google Scholar
Chang, H.Y. et al. Robustness, scalability and integration of a wound-response gene expression signature in predicting breast cancer survival. Proc. Natl. Acad. Sci. USA102, 3738–3743 (2005). ArticleCAS Google Scholar
Glas, A.M. et al. Converting a breast cancer microarray signature into a high-throughput diagnostic test. BMC Genomics7, 278 (2006). Article Google Scholar
West, R.B. et al. Determination of stromal signatures in breast carcinoma. PLoS Biol.3, e187 (2005). Article Google Scholar
Allinen, M. et al. Molecular characterization of the tumor microenvironment in breast cancer. Cancer Cell6, 17–32 (2004). ArticleCAS Google Scholar
Iyer, V.R. et al. The transcriptional program in the response of human fibroblasts to serum. Science283, 83–87 (1999). ArticleCAS Google Scholar
Singer, C.F. et al. Differential gene expression profile in breast cancer–derived stromal fibroblasts. Breast Cancer Res. Treat. published online, doi:10.1007/s10549-007-9725-2 (27 September 2007).
Buess, M. et al. Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer. Genome Biol.8, R191 (2007). Article Google Scholar
Kim, J.B., Stein, R. & O'Hare, M.J. Tumour-stromal interactions in breast cancer: the role of stroma in tumourigenesis. Tumour Biol.26, 173–185 (2005). Article Google Scholar
Tlsty, T.D. & Coussens, L.M. Tumor stroma and regulation of cancer development. Annu. Rev. Pathol.1, 119–150 (2006). ArticleCAS Google Scholar
Finak, G. et al. Gene expression signatures of morphologically normal breast tissue identify basal-like tumors. Breast Cancer Res.8, R58 (2006). Article Google Scholar
Uzzan, B., Nicolas, P., Cucherat, M. & Perret, G.Y. Microvessel density as a prognostic factor in women with breast cancer: a systematic review of the literature and meta-analysis. Cancer Res.64, 2941–2955 (2004). ArticleCAS Google Scholar
Gruber, G. et al. Hypoxia-inducible factor 1 α in high-risk breast cancer: an independent prognostic parameter? Breast Cancer Res.6, R191–R198 (2004). ArticleCAS Google Scholar
Nikitenko, L.L., Fox, S.B., Kehoe, S., Rees, M.C. & Bicknell, R. Adrenomedullin and tumour angiogenesis. Br. J. Cancer94, 1–7 (2006). ArticleCAS Google Scholar
Bobrovnikova-Marjon, E.V., Marjon, P.L., Barbash, O., Vander Jagt, D.L. & Abcouwer, S.F. Expression of angiogenic factors vascular endothelial growth factor and interleukin-8/CXCL8 is highly responsive to ambient glutamine availability: role of nuclear factor-κB and activating protein-1. Cancer Res.64, 4858–4869 (2004). ArticleCAS Google Scholar
Wang, D. et al. CXCL1 induced by prostaglandin E2 promotes angiogenesis in colorectal cancer. J. Exp. Med.203, 941–951 (2006). ArticleCAS Google Scholar
Murdoch, C., Giannoudis, A. & Lewis, C.E. Mechanisms regulating the recruitment of macrophages into hypoxic areas of tumors and other ischemic tissues. Blood104, 2224–2234 (2004). ArticleCAS Google Scholar
Bosco, M.C. et al. Hypoxia modifies the transcriptome of primary human monocytes: modulation of novel immune-related genes and identification of CC-chemokine ligand 20 as a new hypoxia-inducible gene. J. Immunol.177, 1941–1955 (2006). ArticleCAS Google Scholar
Yoshida, H., Broaddus, R., Cheng, W., Xie, S. & Naora, H. Deregulation of the HOXA10 homeobox gene in endometrial carcinoma: role in epithelial-mesenchymal transition. Cancer Res.66, 889–897 (2006). ArticleCAS Google Scholar
Lee, A.Y. et al. Expression of the secreted frizzled-related protein gene family is downregulated in human mesothelioma. Oncogene23, 6672–6676 (2004). ArticleCAS Google Scholar
Dunn, G.P., Koebel, C.M. & Schreiber, R.D. Interferons, immunity and cancer immunoediting. Nat. Rev. Immunol.6, 836–848 (2006). ArticleCAS Google Scholar
Ellyard, J.I., Simson, L. & Parish, C.R. TH2-mediated anti-tumour immunity: friend or foe? Tissue Antigens70, 1–11 (2007). ArticleCAS Google Scholar
Mills, C.D., Kincaid, K., Alt, J.M., Heilman, M.J. & Hill, A.M. M-1/M-2 macrophages and the TH1/TH2 paradigm. J. Immunol.164, 6166–6173 (2000). ArticleCAS Google Scholar
Pearl, J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. 116–226 (Morgan Kaufman Publishers, San Mateo, California, 1988). Google Scholar
Miller, L.D. et al. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects and patient survival. Proc. Natl. Acad. Sci. USA102, 13550–13555 (2005). ArticleCAS Google Scholar
Sotiriou, C. et al. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J. Natl. Cancer Inst.98, 262–272 (2006). ArticleCAS Google Scholar
Nuyten, D.S. & van de Vijver, M.J. Gene expression signatures to predict the development of metastasis in breast cancer. Breast Dis.26, 149–156 (2006). ArticleCAS Google Scholar
Massague, J. Sorting out breast-cancer gene signatures. N. Engl. J. Med.356, 294–297 (2007). ArticleCAS Google Scholar
Pages, F. et al. Effector memory T cells, early metastasis and survival in colorectal cancer. N. Engl. J. Med.353, 2654–2666 (2005). ArticleCAS Google Scholar
Hiraoka, K. et al. Concurrent infiltration by CD8+ T cells and CD4+ T cells is a favourable prognostic factor in non–small-cell lung carcinoma. Br. J. Cancer94, 275–280 (2006). ArticleCAS Google Scholar
Dalberg, U., Markholst, H. & Hornum, L. Both Gimap5 and the diabetogenic BBDP allele of Gimap5 induce apoptosis in T cells. Int. Immunol.19, 447–453 (2007). ArticleCAS Google Scholar
Starnes, T. et al. The chemokine CXCL14 (BRAK) stimulates activated NK cell migration: implications for the downregulation of CXCL14 in malignancy. Exp. Hematol.34, 1101–1105 (2006). ArticleCAS Google Scholar
Boudreau, N. & Myers, C. Breast cancer–induced angiogenesis: multiple mechanisms and the role of the microenvironment. Breast Cancer Res.5, 140–146 (2003). ArticleCAS Google Scholar
Li, A., Dubey, S., Varney, M.L., Dave, B.J. & Singh, R.K. IL-8 directly enhanced endothelial cell survival, proliferation and matrix metalloproteinase production and regulated angiogenesis. J. Immunol.170, 3369–3376 (2003). ArticleCAS Google Scholar
Sica, A., Schioppa, T., Mantovani, A. & Allavena, P. Tumour-associated macrophages are a distinct M2 polarised population promoting tumour progression: potential targets of anti-cancer therapy. Eur. J. Cancer42, 717–727 (2006). ArticleCAS Google Scholar
Gupta, G.P. et al. Mediators of vascular remodelling co-opted for sequential steps in lung metastasis. Nature446, 765–770 (2007). ArticleCAS Google Scholar
Hofmann, H.S. et al. Matrix metalloproteinase-12 expression correlates with local recurrence and metastatic disease in non–small cell lung cancer patients. Clin. Cancer Res.11, 1086–1092 (2005). CASPubMed Google Scholar
Lewis, C.E. & Pollard, J.W. Distinct role of macrophages in different tumor microenvironments. Cancer Res.66, 605–612 (2006). ArticleCAS Google Scholar
Teschendorff, A.E., Miremadi, A., Pinder, S.E., Ellis, I.O. & Caldas, C. An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer. Genome Biol.8, R157 (2007). Article Google Scholar
Fitzgibbons, P.L. et al. Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999. Arch. Pathol. Lab. Med.124, 966–978 (2000). CASPubMed Google Scholar
Smyth, G.K. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol.3 Article 3 (2004).
Ashburner, M. et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet.25, 25–29 (2000). ArticleCAS Google Scholar