Expression patterns of small numbers of transcripts from functionally-related pathways predict survival in multiple cancers

[1]  Weiqi Zhang,et al.  Inhibition of hepatocellular carcinoma by metabolic normalization , 2019, PloS one.

[2]  N. Fleshner,et al.  Germ Cell Testicular Tumors-Contemporary Diagnosis, Staging and Management of Localized and Advanced disease. , 2019, Urology.

[3]  Michaela Frye,et al.  RNA modifications modulate gene expression during development , 2018, Science.

[4]  Dragan Djordjevic,et al.  Using Semantic Web Technologies to Enable Cancer Genomics Discovery at Petabyte Scale , 2018, Cancer informatics.

[5]  P. Cramer,et al.  Structure of activated transcription complex Pol II–DSIF–PAF–SPT6 , 2018, Nature.

[6]  P. Cramer,et al.  Structure of paused transcription complex Pol II-DSIF-NELF , 2018, Nature.

[7]  S. Swain,et al.  Luminal A Breast Cancer and Molecular Assays: A Review. , 2018, The oncologist.

[8]  K. Aird,et al.  Deoxyribonucleotide Triphosphate Metabolism in Cancer and Metabolic Disease , 2018, Front. Endocrinol..

[9]  Steven J. M. Jones,et al.  Oncogenic Signaling Pathways in The Cancer Genome Atlas. , 2018, Cell.

[10]  Joel H Saltz,et al.  PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective , 2018, The Journal of pathology.

[11]  E. Prochownik,et al.  Diagnostic and prognostic implications of ribosomal protein transcript expression patterns in human cancers , 2018, BMC Cancer.

[12]  C. Sotiriou,et al.  Unravelling triple-negative breast cancer molecular heterogeneity using an integrative multiomic analysis , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[13]  M. Nikiforova,et al.  Analytical performance of the ThyroSeq v3 genomic classifier for cancer diagnosis in thyroid nodules , 2018, Cancer.

[14]  J. Soutourina Transcription regulation by the Mediator complex , 2017, Nature Reviews Molecular Cell Biology.

[15]  George Thomas,et al.  Ribosome biogenesis in cancer: new players and therapeutic avenues , 2017, Nature Reviews Cancer.

[16]  N. Gray,et al.  Enhancer profiling identifies critical cancer genes and characterizes cell identity in adult T-cell leukemia. , 2017, Blood.

[17]  Rehan Akbani,et al.  A Galaxy Implementation of Next-Generation Clustered Heatmaps for Interactive Exploration of Molecular Profiling Data. , 2017, Cancer research.

[18]  S. Fallahpour,et al.  Breast cancer survival by molecular subtype: a population-based analysis of cancer registry data. , 2017, CMAJ open.

[19]  P. Benos,et al.  Ribosomopathy-like properties of murine and human cancers , 2017, PloS one.

[20]  L. Penn,et al.  MYC Deregulation in Primary Human Cancers , 2017, Genes.

[21]  R. Young,et al.  Transcriptional Addiction in Cancer , 2017, Cell.

[22]  L. V. van't Veer,et al.  70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer. , 2016, The New England journal of medicine.

[23]  Eric Batchelor,et al.  p53 Pulses Diversify Target Gene Expression Dynamics in an mRNA Half-Life-Dependent Manner and Delineate Co-regulated Target Gene Subnetworks. , 2016, Cell systems.

[24]  K. Yen,et al.  IDH mutations in cancer and progress toward development of targeted therapeutics. , 2016, Annals of oncology : official journal of the European Society for Medical Oncology.

[25]  Huang Jun,et al.  Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype , 2014 .

[26]  Gordon B Mills,et al.  Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancer , 2014, Clinical Cancer Research.

[27]  R. Moreno-Sánchez,et al.  Who controls the ATP supply in cancer cells? Biochemistry lessons to understand cancer energy metabolism. , 2014, The international journal of biochemistry & cell biology.

[28]  Joshua M. Stuart,et al.  The Cancer Genome Atlas Pan-Cancer analysis project , 2013, Nature Genetics.

[29]  R. Mumper,et al.  A Novel Monoclonal Antibody to Secreted Frizzled-Related Protein 2 Inhibits Tumor Growth , 2013, Molecular Cancer Therapeutics.

[30]  K. Vousden,et al.  p53 mutations in cancer , 2013, Nature Cell Biology.

[31]  H. Lincet,et al.  A global view of the biochemical pathways involved in the regulation of the metabolism of cancer cells. , 2012, Biochimica et biophysica acta.

[32]  E. Gazzano,et al.  The pentose phosphate pathway: an antioxidant defense and a crossroad in tumor cell fate. , 2012, Free radical biology & medicine.

[33]  Elisa Giovannetti,et al.  Thymidylate synthase inhibitors for non-small cell lung cancer , 2011, Expert opinion on investigational drugs.

[34]  X. Chen,et al.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. , 2011, The Journal of clinical investigation.

[35]  A. Levine,et al.  The Control of the Metabolic Switch in Cancers by Oncogenes and Tumor Suppressor Genes , 2010, Science.

[36]  Gary D. Bader,et al.  Pathway Commons, a web resource for biological pathway data , 2010, Nucleic Acids Res..

[37]  Laurens van der Maaten,et al.  Learning a Parametric Embedding by Preserving Local Structure , 2009, AISTATS.

[38]  C. Fan,et al.  Tumorigenesis and Neoplastic Progression Molecular Characterization of Human Breast Tumor Vascular Cells , 2008 .

[39]  R. Cress,et al.  Descriptive analysis of estrogen receptor (ER)‐negative, progesterone receptor (PR)‐negative, and HER2‐negative invasive breast cancer, the so‐called triple‐negative phenotype , 2007, Cancer.

[40]  M. Burczynski,et al.  Clinical pharmacogenomics and transcriptional profiling in early phase oncology clinical trials. , 2005, Current molecular medicine.

[41]  Y. Audic,et al.  Post‐transcriptional regulation in cancer , 2004, Biology of the cell.

[42]  K. Kinzler,et al.  Cancer genes and the pathways they control , 2004, Nature Medicine.

[43]  Van,et al.  A gene-expression signature as a predictor of survival in breast cancer. , 2002, The New England journal of medicine.

[44]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[45]  E. Prochownik,et al.  MYC oncogenes and human neoplastic disease , 1999, Oncogene.

[46]  Tin Kam Ho,et al.  The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[47]  J. Ross,et al.  mRNA stability in mammalian cells. , 1995, Microbiological reviews.

[48]  Z. Werb,et al.  The Role of Stroma in Tumor Development. , 2015, Cancer journal.

[49]  Ping Yang,et al.  Prognostic and predictive significance of thymidylate synthase protein expression in non-small cell lung cancer: a systematic review and meta-analysis. , 2015, Cancer biomarkers : section A of Disease markers.

[50]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[51]  L. Breiman Random Forests , 2001, Machine Learning.

[52]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..