Systematic computation with functional gene-sets among leukemic and hematopoietic stem cells reveals a favorable prognostic signature for acute myeloid leukemia
暂无分享,去创建一个
Bin Wang | Luonan Chen | Jianjun Chen | Xinan Yang | Meiyi Li | Jill de Jong | John M. Cunningham | Kenan Onel | Wanqi Zhu | Aurelie Desgardin | Bin Wang | Luonan Chen | J. Cunningham | X. Yang | Meiyi Li | W. Zhu | A. Desgardin | K. Onel | J. D. Jong | Jianjun Chen | Wanqi Zhu
[1] J. Boultwood,et al. The 5q-syndrome. , 1994, Blood.
[2] R. Foà,et al. Interleukin-2 may induce prolonged remissions in advanced acute myelogenous leukemia. , 1994, Blood.
[3] M. Caligiuri,et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice , 1994, Nature.
[4] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[5] A. Leong,et al. Manual of Diagnostic Antibodies for Immunohistology , 1998 .
[6] Dekang Lin,et al. An Information-Theoretic Definition of Similarity , 1998, ICML.
[7] E. Jones. Manual of Diagnostic Antibodies for Immunohistology , 1999 .
[8] N. Zhao,et al. Transcript map and comparative analysis of the 1.5-Mb commonly deleted segment of human 5q31 in malignant myeloid diseases with a del(5q). , 2001, Genomics.
[9] J. Wainscoat,et al. The 5 q-Syndrome , 2002 .
[10] Jeanne Kowalski,et al. Microarray and Serial Analysis of Gene Expression Analyses Identify Known and Novel Transcripts Overexpressed in Hematopoietic Stem Cells , 2004, Cancer Research.
[11] D. Koller,et al. A module map showing conditional activity of expression modules in cancer , 2004, Nature Genetics.
[12] Andrew I Su,et al. Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics' , 2005, Nature Genetics.
[13] G. Ehninger,et al. Activation of the RAS Pathway Is Predictive for a Chemosensitive Phenotype of Acute Myelogenous Leukemia Blasts , 2005, Clinical Cancer Research.
[14] 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.
[15] A. Levine,et al. The p53 pathway: positive and negative feedback loops , 2005, Oncogene.
[16] Derick R. Peterson,et al. The sesquiterpene lactone parthenolide induces apoptosis of human acute myelogenous leukemia stem and progenitor cells. , 2005, Blood.
[17] Ulrich Pfeffer,et al. The Transforming Growth Factor-β Family Members Bone Morphogenetic Protein-2 and Macrophage Inhibitory Cytokine-1 as Mediators of the Antiangiogenic Activity of N-(4-Hydroxyphenyl)Retinamide , 2005, Clinical Cancer Research.
[18] O. Yli-Harja,et al. Global Gene Expression Profile of Human Cord Blood–Derived CD133+ Cells , 2006, Stem cells.
[19] M. Nagasawa,et al. Phospho-regulation of human protein kinase Aurora-A: analysis using anti-phospho-Thr288 monoclonal antibodies , 2006, Oncogene.
[20] S. Knuutila,et al. DNA copy number amplification profiling of human neoplasms , 2006, Oncogene.
[21] G. Wang,et al. Identification of genes targeted by the androgen and PKA signaling pathways in prostate cancer cells , 2006, Oncogene.
[22] S. Takada,et al. Epigenetic silencing of AXIN2 in colorectal carcinoma with microsatellite instability , 2006, Oncogene.
[23] Rainer Spang,et al. Similarities of Ordered Gene Lists , 2006, J. Bioinform. Comput. Biol..
[24] Holger Fröhlich,et al. GOSim – an R-package for computation of information theoretic GO similarities between terms and gene products , 2007, BMC Bioinformatics.
[25] Rainer Spang,et al. OrderedList - a bioconductor package for detecting similarity in ordered gene lists , 2006, Bioinform..
[26] C. Goolsby,et al. NUP98-HOXA9 induces long-term proliferation and blocks differentiation of primary human CD34+ hematopoietic cells. , 2006, Cancer research.
[27] K. Mills,et al. Transcriptional dysregulation mediated by RUNX1-RUNX1T1 in normal human progenitor cells and in acute myeloid leukaemia , 2007, Leukemia.
[28] Satoshi Tanaka,et al. Chemotherapy-resistant human AML stem cells home to and engraft within the bone-marrow endosteal region , 2007, Nature Biotechnology.
[29] Kai Wang,et al. Comparative analysis of microarray normalization procedures: effects on reverse engineering gene networks , 2007, ISMB/ECCB.
[30] T. Holyoake,et al. Transcriptional Analysis of Quiescent and Proliferating CD34+ Human Hemopoietic Cells from Normal and Chronic Myeloid Leukemia Sources , 2007, Stem cells.
[31] Vincent C. Manganiello,et al. Foxp3-dependent programme of regulatory T-cell differentiation , 2007, Nature.
[32] J. Gribben,et al. Anti-CD38 antibody-mediated clearance of human repopulating cells masks the heterogeneity of leukemia-initiating cells. , 2008, Blood.
[33] Ulrich Mansmann,et al. An 86-probe-set gene-expression signature predicts survival in cytogenetically normal acute myeloid leukemia. , 2008, Blood.
[34] B. Williams,et al. Mapping and quantifying mammalian transcriptomes by RNA-Seq , 2008, Nature Methods.
[35] Bas J. Wouters,et al. Brief Report Results and Discussion , 2022 .
[36] Nicolas Mermod,et al. Nuclear Factor I-C Links Platelet-Derived Growth Factor and Transforming Growth Factor β1 Signaling to Skin Wound Healing Progression , 2009, Molecular and Cellular Biology.
[37] L. Hood,et al. Dysregulated gene expression networks in human acute myelogenous leukemia stem cells , 2009, Proceedings of the National Academy of Sciences.
[38] M. Andreeff,et al. Cyclin‐dependent kinase 1 inhibitor RO‐3306 enhances p53‐mediated Bax activation and mitochondrial apoptosis in AML , 2009, Cancer science.
[39] David Haussler,et al. Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM , 2010, Bioinform..
[40] O. Ohara,et al. Identification of Therapeutic Targets for Quiescent, Chemotherapy-Resistant Human Leukemia Stem Cells , 2010, Science Translational Medicine.
[41] R. Arceci. FLT3-ITD up-regulates MCL-1 to promote survival of stem cells in acute myeloid leukemia via FLT3-ITD–specific STAT5 activation , 2010 .
[42] Ash A. Alizadeh,et al. Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia. , 2010, JAMA.
[43] Keji Zhao,et al. Regulation of nucleosome landscape and transcription factor targeting at tissue-specific enhancers by BRG1. , 2011, Genome research.
[44] P. Vyas,et al. Coexistence of LMPP-like and GMP-like leukemia stem cells in acute myeloid leukemia. , 2011, Cancer cell.
[45] Yong-mei Zhu,et al. Gene mutation patterns and their prognostic impact in a cohort of 1185 patients with acute myeloid leukemia. , 2011, Blood.
[46] Craig T Jordan,et al. Leukemia stemness signatures step toward the clinic. , 2011, Cell stem cell.
[47] E. Vellenga,et al. Gene expression profiling in the leukemic stem cell-enriched CD34+ fraction identifies target genes that predict prognosis in normal karyotype AML , 2011, Leukemia.
[48] Angelo J. Canty,et al. Stem cell gene expression programs influence clinical outcome in human leukemia , 2011, Nature Medicine.
[49] L. Bullinger,et al. High BRE expression predicts favorable outcome in adult acute myeloid leukemia, in particular among MLL-AF9-positive patients. , 2011, Blood.
[50] David Venet,et al. Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome , 2011, PLoS Comput. Biol..
[51] Daniel R. Salomon,et al. Strategies for aggregating gene expression data: The collapseRows R function , 2011, BMC Bioinformatics.
[52] Helga Thorvaldsdóttir,et al. Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..
[53] K. Hansen,et al. Removing technical variability in RNA-seq data using conditional quantile normalization , 2012, Biostatistics.
[54] Yong Huang,et al. Towards Mechanism Classifiers: Expression-anchored Gene Ontology Signature Predicts Clinical Outcome in Lung Adenocarcinoma Patients , 2012, AMIA.
[55] Justin Guinney,et al. GSVA: gene set variation analysis for microarray and RNA-Seq data , 2013, BMC Bioinformatics.
[56] Yong Huang,et al. Single Sample Expression-Anchored Mechanisms Predict Survival in Head and Neck Cancer , 2012, PLoS Comput. Biol..
[57] Q. Cui,et al. Corrigendum: Identification of high-quality cancer prognostic markers and metastasis network modules , 2012, Nature Communications.
[58] T. Furey,et al. Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets. , 2011, Genome research.
[59] Atul J. Butte,et al. Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges , 2012, PLoS Comput. Biol..
[60] B. Huntly,et al. Recent advances in acute myeloid leukemia stem cell biology , 2012, Haematologica.
[61] Kazuyuki Aihara,et al. Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers , 2012, Scientific Reports.
[62] O. Abdel-Wahab,et al. The role of mutations in epigenetic regulators in myeloid malignancies , 2012, Nature Reviews Cancer.
[63] Michal Sheffer,et al. Pathway-based personalized analysis of cancer , 2013, Proceedings of the National Academy of Sciences.
[64] Xinan Yang,et al. Bridging Cancer Biology with the Clinic: Relative Expression of a GRHL2-Mediated Gene-Set Pair Predicts Breast Cancer Metastasis , 2013, PloS one.
[65] T. Ikezoe,et al. CD34+/CD38− acute myelogenous leukemia cells aberrantly express Aurora kinase A , 2011, International journal of cancer.
[66] Ulrich Mansmann,et al. Identification of a 24-gene prognostic signature that improves the European LeukemiaNet risk classification of acute myeloid leukemia: an international collaborative study. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[67] M. Minden,et al. Preferential eradication of acute myelogenous leukemia stem cells by fenretinide , 2013, Proceedings of the National Academy of Sciences.
[68] Benjamin J. Raphael,et al. Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. , 2013, The New England journal of medicine.
[69] Roberto Romero,et al. A Comparison of Gene Set Analysis Methods in Terms of Sensitivity, Prioritization and Specificity , 2013, PloS one.
[70] Rui Liu,et al. Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis , 2014, Briefings Bioinform..
[71] T. Somervaille,et al. The variety of leukemic stem cells in myeloid malignancy , 2014, Oncogene.
[72] D. Sasaki,et al. Expression of myeloperoxidase in acute myeloid leukemia blasts mirrors the distinct DNA methylation pattern involving the downregulation of DNA methyltransferase DNMT3B , 2014, Leukemia.
[73] Xinan Yang,et al. Computational prognostic indicators for breast cancer , 2014, Cancer management and research.
[74] K. Yanagihara,et al. Title Expression of myeloperoxidase in acute myeloid leukemia blasts mirrors the distinct DNA methylation pattern involving the downregulation of DNA methyltransferase DNMT 3 B , 2017 .