Locoregional Radiogenomic Models Capture Gene Expression Heterogeneity in Glioblastoma
暂无分享,去创建一个
Michael | Olivier Gevaert | Daniel L. Rubin | Adrien Depeursinge | Tünde Szilágyi | Kristen W. Yeom | Yan Liu | Kázmér Kovács | Reena P. Thomas | Nancy J. Fischbein | Yan Liu | K. Yeom | D. Rubin | O. Gevaert | N. Fischbein | A. Depeursinge | Tünde Szilágyi | Kázmér Kovács | Michael | R. Thomas | T. Szilágyi
[1] S. Plevritis,et al. Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features. , 2014, Radiology.
[2] R. Tibshirani,et al. Pancancer analysis of DNA methylation-driven genes using MethylMix , 2015, Genome Biology.
[3] Olivier Gevaert,et al. Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer. , 2012, Cancer research.
[4] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[5] Ferenc A. Jolesz,et al. Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme , 2011, PloS one.
[6] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[7] Aedín C. Culhane,et al. GeneSigDB—a curated database of gene expression signatures , 2009, Nucleic Acids Res..
[8] C. Kruchko,et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005-2009. , 2012, Neuro-oncology.
[9] 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.
[10] Tej D. Azad,et al. Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities , 2015, Science Translational Medicine.
[11] Ningyan Zhang,et al. HER3/ErbB3, an emerging cancer therapeutic target. , 2015, Acta biochimica et biophysica Sinica.
[12] Olivier Gevaert,et al. Non–Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications , 2017, Radiology.
[13] Leland S. Hu,et al. Radiogenomics to characterize regional genetic heterogeneity in glioblastoma , 2016, Neuro-oncology.
[14] Michael Spann,et al. Image Segmentation and Uncertainty , 1987 .
[15] J. Barnholtz-Sloan,et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2007-2011. , 2012, Neuro-oncology.
[16] Olivier Gevaert,et al. Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features , 2012, Pacific Symposium on Biocomputing.
[17] Michael Unser,et al. A Unifying Parametric Framework for 2D Steerable Wavelet Transforms , 2013, SIAM J. Imaging Sci..
[18] Avi Ma'ayan,et al. ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments , 2010, Bioinform..
[19] K. Aldape,et al. Identification of noninvasive imaging surrogates for brain tumor gene-expression modules , 2008, Proceedings of the National Academy of Sciences.
[20] Subha Madhavan,et al. Rembrandt: Helping Personalized Medicine Become a Reality through Integrative Translational Research , 2009, Molecular Cancer Research.
[21] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[22] Andrew P. Stubbs,et al. Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology. , 2009, Cancer research.
[23] Chia-Chi Lin,et al. Abstract 3725: Combined cytotoxic effects of volasertib and cisplatin in urothelial carcinoma cells , 2012 .
[24] Joshua M. Korn,et al. Comprehensive genomic characterization defines human glioblastoma genes and core pathways , 2008, Nature.
[25] Michael Unser,et al. Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification , 2017, IEEE Transactions on Image Processing.
[26] Herbert Schulz,et al. Neural Differentiation of Embryonic Stem Cells In Vitro: A Road Map to Neurogenesis in the Embryo , 2009, PloS one.
[27] A. Gentles,et al. Identification of an atypical etiological head and neck squamous carcinoma subtype featuring the CpG island methylator phenotype , 2017, EBioMedicine.
[28] Graeme P. Penney,et al. Retrospective Rigid Motion Correction in k-Space for Segmented Radial MRI , 2014, IEEE Transactions on Medical Imaging.
[29] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[30] Yuri Kotliarov,et al. High-resolution global genomic survey of 178 gliomas reveals novel regions of copy number alteration and allelic imbalances. , 2006, Cancer research.
[31] R. Verhaak,et al. Qki deficiency maintains stemness of glioma stem cells in suboptimal environment by downregulating endolysosomal degradation , 2016, Nature Genetics.
[32] A. Brenner,et al. Phase I Dose-Escalation Study of VB-111, an Antiangiogenic Virotherapy, in Patients with Advanced Solid Tumors , 2013, Clinical Cancer Research.
[33] Olivier Gevaert,et al. Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. , 2012, Radiology.
[34] Adrien Depeursinge,et al. Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT , 2014, IEEE Transactions on Medical Imaging.
[35] Howard Y. Chang,et al. Decoding global gene expression programs in liver cancer by noninvasive imaging , 2007, Nature Biotechnology.
[36] Prateek Prasanna,et al. Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma , 2018, Scientific Reports.
[37] Olivier Gevaert,et al. MethylMix: an R package for identifying DNA methylation-driven genes , 2015, Bioinform..
[38] Mitchel S Berger,et al. Neural stem cells and the origin of gliomas. , 2005, The New England journal of medicine.
[39] William D. Dunn,et al. MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. , 2013, Radiology.
[40] Olivier Gevaert,et al. MethylMix 2.0: an R package for identifying DNA methylation genes , 2018, Bioinform..
[41] R. Gillies,et al. Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction , 2016, Journal of magnetic resonance imaging : JMRI.
[42] S. Plevritis,et al. Identification of ovarian cancer driver genes by using module network integration of multi-omics data , 2013, Interface Focus.
[43] J. Kuo,et al. Activation of multiple ERBB family receptors mediates glioblastoma cancer stem-like cell resistance to EGFR-targeted inhibition. , 2012, Neoplasia.
[44] P. A. Futreal,et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. , 2012, The New England journal of medicine.
[45] P. Lambin,et al. Defining the biological basis of radiomic phenotypes in lung cancer , 2017, eLife.
[46] A. Gentles,et al. NSD1 inactivation defines an immune cold, DNA hypomethylated subtype in squamous cell carcinoma , 2017, Scientific Reports.
[47] T. Speed,et al. Summaries of Affymetrix GeneChip probe level data. , 2003, Nucleic acids research.
[48] V. P. Collins,et al. Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics , 2013, Proceedings of the National Academy of Sciences.
[49] Stephen M. Moore,et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository , 2013, Journal of Digital Imaging.
[50] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.
[51] Robert J. Gillies,et al. A microenvironmental model of carcinogenesis , 2008, Nature Reviews Cancer.
[52] N. Pochet,et al. Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response , 2017, bioRxiv.
[53] Bart De Moor,et al. A Framework for Elucidating Regulatory Networks Based on Prior Information and Expression Data , 2007, Annals of the New York Academy of Sciences.
[54] A. Goldsmith,et al. CaMoDi: a new method for cancer module discovery , 2014, BMC Genomics.
[55] O. Gevaert,et al. Single Gene Prognostic Biomarkers in Ovarian Cancer: A Meta-Analysis , 2016, PloS one.
[56] Subha Madhavan,et al. G-DOC: a systems medicine platform for personalized oncology. , 2011, Neoplasia.