Pathway-Centric Integrative Analysis Identifies RRM2 as a Prognostic Marker in Breast Cancer Associated with Poor Survival and Tamoxifen Resistance123
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C. Shaw | R. Schiff | G. Michailidis | C. Creighton | S. Ambs | B. O’Malley | Fengju Chen | A. Sreekumar | G. Das | N. Putluri | V. Putluri | S. Maity | J. Lydon | A. Terunuma | T. Dorsey | Xiaoyong Fu | S. K. Bhowmik | Tiffany H. Dorsey | T. R. Sarkar | A. Nardone | Ramakrishna Kommangani | Sarmishta Nanda | Agostina Nardone | Tiffany H Dorsey
[1] T. Lumley,et al. gplots: Various R Programming Tools for Plotting Data , 2015 .
[2] Sarmistha Nanda,et al. Therapeutic potential of the dual EGFR/HER2 inhibitor AZD8931 in circumventing endocrine resistance , 2014, Breast Cancer Research and Treatment.
[3] S. Fuqua,et al. Estrogen receptor (ER) α mutations in breast cancer: hidden in plain sight , 2014, Breast Cancer Research and Treatment.
[4] Yongguo Yu,et al. Clinical and molecular genetic study of infantile-onset Pompe disease in Chinese patients: identification of 6 novel mutations. , 2014, Gene.
[5] Sarah J. Kurley,et al. MYC-driven accumulation of 2-hydroxyglutarate is associated with breast cancer prognosis. , 2014, The Journal of clinical investigation.
[6] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[7] David A. Peterson,et al. AKT-Induced Tamoxifen Resistance Is Overturned by RRM2 Inhibition , 2013, Molecular Cancer Research.
[8] R. Schiff,et al. Cancer Cells Resistant to Therapy Promote Cell Surface Relocalization of GRP78 Which Complexes with PI3K and Enhances PI(3,4,5)P3 Production , 2013, PloS one.
[9] Javed Siddiqui,et al. Activating ESR1 mutations in hormone-resistant metastatic breast cancer , 2013, Nature Genetics.
[10] C. Creighton,et al. Acceleration of the Glycolytic Flux by Steroid Receptor Coactivator-2 Is Essential for Endometrial Decidualization , 2013, PLoS genetics.
[11] Benjamin G. Bitler,et al. Suppression of nucleotide metabolism underlies the establishment and maintenance of oncogene-induced senescence. , 2013, Cell reports.
[12] Chad J Creighton,et al. The molecular profile of luminal B breast cancer , 2012, Biologics : targets & therapy.
[13] G. Marcucci,et al. RNA-dependent inhibition of ribonucleotide reductase is a major pathway for 5-azacytidine activity in acute myeloid leukemia. , 2012, Blood.
[14] Ji Luo,et al. A SUMOylation-Dependent Transcriptional Subprogram Is Required for Myc-Driven Tumorigenesis , 2012, Science.
[15] M. Imieliński,et al. Integrated Proteomic, Transcriptomic, and Biological Network Analysis of Breast Carcinoma Reveals Molecular Features of Tumorigenesis and Clinical Relapse* , 2012, Molecular & Cellular Proteomics.
[16] Yair Lotan,et al. Metabolomic profiling reveals potential markers and bioprocesses altered in bladder cancer progression. , 2011, Cancer research.
[17] David Haussler,et al. Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling , 2011, Proceedings of the National Academy of Sciences.
[18] Gregory Stephanopoulos,et al. Amplification of phosphoglycerate dehydrogenase diverts glycolytic flux and contributes to oncogenesis , 2012, BMC Proceedings.
[19] A. Shojaie,et al. Metabolomic Profiling Reveals a Role for Androgen in Activating Amino Acid Metabolism and Methylation in Prostate Cancer Cells , 2011, PloS one.
[20] J. Olson,et al. Randomized phase II neoadjuvant comparison between letrozole, anastrozole, and exemestane for postmenopausal women with estrogen receptor-rich stage 2 to 3 breast cancer: clinical and biomarker outcomes and predictive value of the baseline PAM50-based intrinsic subtype--ACOSOG Z1031. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[21] P. Morris,et al. Identification of a serum-detectable metabolomic fingerprint potentially correlated with the presence of micrometastatic disease in early breast cancer patients at varying risks of disease relapse by traditional prognostic methods. , 2011, Annals of oncology : official journal of the European Society for Medical Oncology.
[22] Hyungwon Choi,et al. Metabolites of Purine Nucleoside Phosphorylase (NP) in Serum Have the Potential to Delineate Pancreatic Adenocarcinoma , 2011, PloS one.
[23] V. Cryns,et al. Minireview: Basal-like breast cancer: from molecular profiles to targeted therapies. , 2011, Molecular endocrinology.
[24] 이연수. Functional genomics reveal that the serine synthesis pathway is essential in breast cancer , 2011 .
[25] H. An,et al. Proteomic molecular portrait of interface zone in breast cancer. , 2010, Journal of proteome research.
[26] M. Imieliński,et al. In Situ Proteomic Analysis of Human Breast Cancer Epithelial Cells Using Laser Capture Microdissection: Annotation by Protein Set Enrichment Analysis and Gene Ontology* , 2010, Molecular & Cellular Proteomics.
[27] S. Schnitt,et al. Mapping the cellular and molecular heterogeneity of normal and malignant breast tissues and cultured cell lines , 2010, Breast Cancer Research.
[28] Kounosuke Watabe,et al. Metabolic genes in cancer: their roles in tumor progression and clinical implications. , 2010, Biochimica et biophysica acta.
[29] Detlev Suckau,et al. Classification of HER2 receptor status in breast cancer tissues by MALDI imaging mass spectrometry. , 2010, Journal of proteome research.
[30] L. Tanoue. Cancer Statistics, 2009 , 2010 .
[31] R. Saxton,et al. Tumor proteomic profiling predicts the susceptibility of breast cancer to chemotherapy. , 2009, International journal of oncology.
[32] A. Jemal,et al. Cancer Statistics, 2009 , 2009, CA: a cancer journal for clinicians.
[33] J. Ross,et al. MammaPrint™ 70-gene signature: another milestone in personalized medical care for breast cancer patients , 2009, Expert review of molecular diagnostics.
[34] Charles M. Perou,et al. Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer , 2009, Journal of the National Cancer Institute.
[35] John T. Wei,et al. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression , 2009, Nature.
[36] Michael Q. Zhang,et al. Gene set-based module discovery in the breast cancer transcriptome , 2009, BMC Bioinformatics.
[37] Jian Li,et al. Omics-based Profiling of Carcinoma of the Breast and Matched Regional Lymph Node Metastasis , 2022 .
[38] Jiang Shou,et al. Development of resistance to targeted therapies transforms the clinically associated molecular profile subtype of breast tumor xenografts. , 2008, Cancer research.
[39] D. Raftery,et al. Metabolomics-based methods for early disease diagnostics , 2008, Expert review of molecular diagnostics.
[40] A. Rosenberg,et al. Human breast cancer-associated fibroblasts (CAFs) show caveolin-1 down-regulation and RB tumor suppressor functional inactivation: Implications for the response to hormonal therapy , 2008, Cancer biology & therapy.
[41] Gianluca Bontempi,et al. Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen , 2008, BMC Genomics.
[42] Somnath Datta,et al. Classification of Breast Cancer versus Normal Samples from Mass Spectrometry Profiles Using Linear Discriminant Analysis of Important Features Selected by Random Forest , 2008, Statistical applications in genetics and molecular biology.
[43] R. Schiff,et al. Tamoxifen resistance in breast tumors is driven by growth factor receptor signaling with repression of classic estrogen receptor genomic function. , 2008, Cancer research.
[44] C. Perou,et al. Molecular Subtypes in Breast Cancer Evaluation and Management: Divide and Conquer , 2008, Cancer investigation.
[45] M. Wong,et al. Differential regulation of cyclic AMP synthesis by estrogen in MCF7 cells. , 2007, Biochemical and biophysical research communications.
[46] C. Laronga,et al. Proteomic approach to breast cancer. , 2007, Cancer control : journal of the Moffitt Cancer Center.
[47] I. Bertini,et al. Metabolomics: available results, current research projects in breast cancer, and future applications. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[48] J. Bergh,et al. Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[49] Lisa A Carey,et al. Gene-expression analysis and the basal-like breast cancer subtype. , 2007, Future oncology.
[50] Chen Yang,et al. Comparative Metabolomics of Breast Cancer , 2006, Pacific Symposium on Biocomputing.
[51] T. Bathen,et al. MR-determined metabolic phenotype of breast cancer in prediction of lymphatic spread, grade, and hormone status , 2007, Breast Cancer Research and Treatment.
[52] A. Giuliano,et al. Proteomic profiling of primary breast cancer predicts axillary lymph node metastasis. , 2006, Cancer research.
[53] Wen-Lin Kuo,et al. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. , 2006, Cancer cell.
[54] R. Tibshirani,et al. On testing the significance of sets of genes , 2006, math/0610667.
[55] G. M. Nagaraja,et al. Gene expression signatures and biomarkers of noninvasive and invasive breast cancer cells: comprehensive profiles by representational difference analysis, microarrays and proteomics , 2006, Oncogene.
[56] T. Bathen,et al. Comparison of HR MAS MR spectroscopic profiles of breast cancer tissue with clinical parameters , 2006, NMR in biomedicine.
[57] F. Monzon. A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer , 2006 .
[58] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[59] M. Cronin,et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. , 2004, The New England journal of medicine.
[60] Jean YH Yang,et al. Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.
[61] M. Hirai,et al. Integration of transcriptomics and metabolomics for understanding of global responses to nutritional stresses in Arabidopsis thaliana. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[62] E. Petricoin,et al. Genomic and proteomic approaches for studying human cancer: Prospects for true patient-tailored therapy , 2004, Human Genomics.
[63] Rafael A Irizarry,et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. , 2003, Biostatistics.
[64] B. Sitter,et al. High‐resolution magic angle spinning MRS of breast cancer tissue , 2002, NMR in biomedicine.
[65] David Miles,et al. Superior survival with capecitabine plus docetaxel combination therapy in anthracycline-pretreated patients with advanced breast cancer: phase III trial results. , 2002, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[66] H. Preisler,et al. Amplification and overexpression of topoisomerase IIalpha predict response to anthracycline-based therapy in locally advanced breast cancer. , 2002, Clinical cancer research : an official journal of the American Association for Cancer Research.
[67] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[68] Hiroyuki Ogata,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..
[69] Barbara L. Smith,et al. Evaluating human breast ductal carcinomas with high-resolution magic-angle spinning proton magnetic resonance spectroscopy. , 1998, Journal of magnetic resonance.
[70] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[71] H. Frierson,et al. Pathologic Findings in Nonpalpable Invasive Breast Cancer , 1992, The American journal of surgical pathology.
[72] C. Carter,et al. Relation of tumor size, lymph node status, and survival in 24,740 breast cancer cases , 1989, Cancer.
[73] Donald E. Henson,et al. Relation of tumor size, lymph node status, and survival in 24,740 breast cancer cases , 1989 .