Modeling molecular development of breast cancer in canine mammary tumors
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David G. Robinson | John D. Storey | Chandra L. Theesfeld | O. Troyanskaya | N. Carriero | Kiley Graim | V. Kristensen | R. Chakrabarti | J. Cahill | C. Theesfeld | M. Goldschmidt | Julien Funk | K. Sorenmo | A. Durham | Dmitriy Gorenshteyn | J. A. Cahill
[1] T. Ishikawa,et al. Biologically Aggressive Phenotype and Anti-cancer Immunity Counterbalance in Breast Cancer with High Mutation Rate , 2020, Scientific Reports.
[2] Steven L Salzberg,et al. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype , 2019, Nature Biotechnology.
[3] G. Del Sal,et al. Mutant p53 as a guardian of the cancer cell , 2018, Cell Death & Differentiation.
[4] Todd R. Golub,et al. Abstract 1028: Patient-derived xenografts undergo mouse-specific tumor evolution , 2018, Tumor Biology.
[5] Peter W. Laird,et al. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer , 2018, Cell.
[6] Steven J. M. Jones,et al. Comprehensive Characterization of Cancer Driver Genes and Mutations , 2018, Cell.
[7] K. Pietras,et al. The PDGF pathway in breast cancer is linked to tumour aggressiveness, triple-negative subtype and early recurrence , 2018, Breast Cancer Research and Treatment.
[8] Astrid Gall,et al. Ensembl 2018 , 2017, Nucleic Acids Res..
[9] Thomas E Rohan,et al. Neoadjuvant chemotherapy induces breast cancer metastasis through a TMEM-mediated mechanism , 2017, Science Translational Medicine.
[10] P. Lønning,et al. Genomic Evolution of Breast Cancer Metastasis and Relapse , 2017, Cancer cell.
[11] Ping Yang,et al. Indel detection from RNA-seq data: tool evaluation and strategies for accurate detection of actionable mutations , 2016, Briefings Bioinform..
[12] Chandra L. Theesfeld,et al. Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder , 2016, Nature Neuroscience.
[13] N. Rosenfeld,et al. The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes , 2016, Nature Communications.
[14] C. Hetz,et al. Endoplasmic Reticulum Stress and the Hallmarks of Cancer. , 2016, Trends in cancer.
[15] Mark Dewhirst,et al. Perspectives from man’s best friend: National Academy of Medicine’s Workshop on Comparative Oncology , 2016, Science Translational Medicine.
[16] I. Screpanti,et al. In vitro and in vivo inhibition of breast cancer cell growth by targeting the Hedgehog/GLI pathway with SMO (GDC-0449) or GLI (GANT-61) inhibitors , 2016, Oncotarget.
[17] E. Skjerve,et al. Effect of Ovariohysterectomy at the Time of Tumor Removal in Dogs with Mammary Carcinomas: A Randomized Controlled Trial , 2015, Journal of veterinary internal medicine.
[18] Leigh G. Griffiths,et al. Companion animals: Translational scientist’s new best friends , 2015, Science Translational Medicine.
[19] Zachary C. Dobbin,et al. Ovarian and cervical cancer patient derived xenografts: The past, present, and future. , 2015, Gynecologic oncology.
[20] A. Børresen-Dale,et al. Canine Mammary Tumours Are Affected by Frequent Copy Number Aberrations, including Amplification of MYC and Loss of PTEN , 2015, PloS one.
[21] Daniel S. Himmelstein,et al. Understanding multicellular function and disease with human tissue-specific networks , 2015, Nature Genetics.
[22] A. Ashkenazi. Targeting the extrinsic apoptotic pathway in cancer: lessons learned and future directions. , 2015, The Journal of clinical investigation.
[23] R. Harris,et al. Molecular mechanism and clinical impact of APOBEC3B-catalyzed mutagenesis in breast cancer , 2015, Breast Cancer Research.
[24] M. Stoneking,et al. Evaluating intra- and inter-individual variation in the human placental transcriptome , 2014, bioRxiv.
[25] M. Cekanova,et al. Animal models and therapeutic molecular targets of cancer: utility and limitations , 2014, Drug design, development and therapy.
[26] Shaying Zhao,et al. Molecular homology and difference between spontaneous canine mammary cancer and human breast cancer. , 2014, Cancer research.
[27] C. V. Van Poznak,et al. Oncotype Dx Results in Multiple Primary Breast Cancers , 2014, Breast cancer : basic and clinical research.
[28] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[29] Kaleigh Fernald,et al. Evading apoptosis in cancer. , 2013, Trends in cell biology.
[30] Mauricio O. Carneiro,et al. From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.
[31] Wolfgang Huber,et al. Drift and conservation of differential exon usage across tissues in primate species , 2013, Proceedings of the National Academy of Sciences.
[32] N. A. Temiz,et al. APOBEC3B is an enzymatic source of mutation in breast cancer , 2013, Nature.
[33] Steven J. M. Jones,et al. Comprehensive molecular portraits of human breast tumours , 2013 .
[34] W. Huber,et al. Detecting differential usage of exons from RNA-seq data , 2012, Genome research.
[35] Pablo Cingolani,et al. © 2012 Landes Bioscience. Do not distribute. , 2022 .
[36] F. Gärtner,et al. Canine tumors: a spontaneous animal model of human carcinogenesis. , 2012, Translational research : the journal of laboratory and clinical medicine.
[37] Davis J. McCarthy,et al. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation , 2012, Nucleic acids research.
[38] Arek Kasprzyk,et al. BioMart: driving a paradigm change in biological data management , 2011, Database J. Biol. Databases Curation.
[39] Jean-Pierre Gillet,et al. Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance , 2011, Proceedings of the National Academy of Sciences.
[40] C. Cole,et al. COSMIC: the catalogue of somatic mutations in cancer , 2011, Genome Biology.
[41] C. E. Alvarez,et al. Dog models of naturally occurring cancer. , 2011, Trends in molecular medicine.
[42] M. DePristo,et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.
[43] D. Hanahan,et al. Hallmarks of Cancer: The Next Generation , 2011, Cell.
[44] D. Sgroi,et al. The molecular pathology of breast cancer progression , 2011, The Journal of pathology.
[45] R. Klopfleisch,et al. Molecular Carcinogenesis of Canine Mammary Tumors , 2011, Veterinary pathology.
[46] V. Zappulli,et al. Classification and Grading of Canine Mammary Tumors , 2011, Veterinary pathology.
[47] Josyf Mychaleckyj,et al. Robust relationship inference in genome-wide association studies , 2010, Bioinform..
[48] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[49] T. Dønnem,et al. Co-expression of PDGF-B and VEGFR-3 strongly correlates with lymph node metastasis and poor survival in non-small-cell lung cancer. , 2010, Annals of oncology : official journal of the European Society for Medical Oncology.
[50] Aaron R. Quinlan,et al. BIOINFORMATICS APPLICATIONS NOTE , 2022 .
[51] M. Robinson,et al. A scaling normalization method for differential expression analysis of RNA-seq data , 2010, Genome Biology.
[52] F. Shofer,et al. Canine mammary gland tumours; a histological continuum from benign to malignant; clinical and histopathological evidence. , 2009, Veterinary and comparative oncology.
[53] A. Nobel,et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[54] M. Paoloni,et al. Translation of new cancer treatments from pet dogs to humans , 2008, Nature Reviews Cancer.
[55] D. Crawford,et al. The biological importance of measuring individual variation , 2007, Journal of Experimental Biology.
[56] John D. Storey,et al. Gene-expression variation within and among human populations. , 2007, American journal of human genetics.
[57] H. Iwase,et al. [Breast cancer]. , 2006, Nihon rinsho. Japanese journal of clinical medicine.
[58] T. Litman,et al. A Serial Analysis of Gene Expression (SAGE) database analysis of chemosensitivity: comparing solid tumors with cell lines and comparing solid tumors from different tissue origins. , 2004, Cancer research.
[59] Robert A. Weinberg,et al. Comparative Biology of Mouse versus Human Cells: Modelling Human Cancer in Mice O P I N I O N , 2022 .
[60] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[61] R. Tibshirani,et al. Repeated observation of breast tumor subtypes in independent gene expression data sets , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[62] J. Tschopp,et al. Defective death receptor signaling as a cause of tumor immune escape. , 2002, Seminars in cancer biology.