A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen.

By Xiao-Jun Ma, Zuncai Wang, P. Ryan, S. Isakoff, A. Barmettler, Andrew Fuller, Beth Muir, G. Mohapatra, R. Salunga, J. Tuggle and 20 more. Cancer Cell, 2004

983 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Oncology

View Paper: https://www.semanticscholar.org/paper/26887a17ef00fc2a6b58d931b821c48d5160f4a1

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Citations in the corpus

Reliability and reproducibility issues in DNA microarray measurements. (2006, background): “Studies based on expression profiling of human cancer samples with various clinical outcomes usually produce gene-expression classifiers involving ten to 100 genes [4,5,57–59], although microarray-based classifiers with as few as two genes have also been published [60, 61 ].”
The presence of tumor associated macrophages in tumor stroma as a prognostic marker for breast cancer patients (2012, methodology): “Using a publically available gene expression array dataset [GenBank:GDS806] [22] from NCBI Gene Expression Omnibus profiles [23] we were able to identify that breast cancer patients receiving endocrine therapy, who had recurrence, had significantly higher gene expression levels of CD68 (Figure 3B).”
The transcriptional repressor Snail promotes mammary tumor recurrence. (2005, background): “204 receptor-positive breast cancers from patients without distant metastases at the time of tumor resection (Ma et al., 2004).”
Breast cancer metastasis: markers and models (2005, background): “showed that the expression ratio of the two genes HIXB13 and IL17BL accurately predicts metastatis developmen”
A Sparse-Group Lasso (2013, methodology): “The second dataset we used for comparison was the breast cancer data by Ma et al. (2004).”
PrognoScan: a new database for meta-analysis of the prognostic value of genes (2009, background): “As of February 2009, the collection included more than 40 datasets of various cancer types spanning a wide range of cancers including bladder, blood, breast, brain, esophagus, head and neck, kidney, lung, and ovarian (Table 1) [10-35], far more comprehensive than both ITTACA, which focuses on bladde”
Transcriptional regulation of cell polarity in EMT and cancer (2008, background): “The correlation between the transcription factors and polarity genes indicated was reinforced by the identification of 9, 11 and 8 canonical E-boxes in the promoter region of the DLG3, LLGL2 and PARD6A genes, respectively.”