Gene expression profiles of human breast cancer progression

By Xiao-Jun Ma, R. Salunga, J. Tuggle, J. Gaudet, E. Enright, P. Mcquary, T. Payette, M. Pistone, K. Stecker, Brian M. Zhang and 10 more. Proceedings of the National Academy of Sciences of the United States of America, 2003

886 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/76f4bd4bef69f6dd8029f6b461a74a686c9d0317

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Citations in the corpus

Gene expression profiling of the tumor microenvironment during breast cancer progression (2009, methodology): “Stromal gene expression signature associated with tumor grade We have previously shown that tumor grade is associated with a strong gene expression signature in malignant breast epithelial cells [9].”
Modelling glandular epithelial cancers in three-dimensional cultures (2005, background): “Because of the large quantity of information that has been gleaned from diverse experimental approaches, cancer biologists are well poised to address the challenging problem of how cancer genes and pathways influence glandular epithelial architectur”
Hypoxia regulates TSC1/2-mTOR signaling and tumor suppression through REDD1-mediated 14-3-3 shuttling. (2008, methodology): “Quantitative analysis of REDD1 expression in primary human tumors LCM and analysis of primary human breast carcinomas were performed as described (Ma et al. 2003).”
Cells of origin in cancer (2011, background): “Interestingly, despite the heterogeneous nature of tumours, the histopathology and gene-expression profiles of tumours arising in patients often remain relatively stable during progression from localized disease to metastatic and even end-stage diseas”
Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. (2006, result): “Recent studies indicate that, overall, tumor molecular signatures tend to be preserved across different stages of tumor progression.(31,32) Our published studies with the 21-gene RS as well as other gene expression profiling studies demonstrate that expression profiling of the primary tumor can pred”
A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. (2004, background): “lyzed the same cohort following laser-capture microdissection (LCM) of tumor cells within each tissue section (Bonner et al., Results 1997; Emmert-Buck et al., 1996; Ma et al., 2003).”
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome (2011, background): “markers such as proliferation [6–9] or grade [10–12].”
Coexpression analysis of human genes across many microarray data sets. (2004, neutral): “2002) 114 12801 1547199 (Ma et al. 2003) 61 1569 10086 (Yeoh et al.”
Biomarkers in Cancer Staging, Prognosis and Treatment Selection (2005, background): “Assignment of grade is inherently subjective and dependent on the skill and experience of the reviewing pathologist, but several reports indicate that biomarker patterns can correctly score tumours according to their pathologist-assigned grade”
Support vector machines : theory and applications (2005, background): “In fact, gene-expression-based cancer classifiers have achieved good results in classifying lymphoma [17], leukemia [18], breast cancer [19], liver cancer [20], and so on.”