Cargando…

Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data

BACKGOUND: The genetic mechanisms of prostate tumorigenesis remain poorly understood, but with the advent of gene expression array capabilities, we can now produce a large amount of data that can be used to explore the molecular and genetic mechanisms of prostate tumorigenesis. METHODS: We conducted...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gorlov, Ivan P, Byun, Jinyoung, Gorlova, Olga Y, Aparicio, Ana M, Efstathiou, Eleni, Logothetis, Christopher J
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2009
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2731785/ https://www.ncbi.nlm.nih.gov/pubmed/19653896 http://dx.doi.org/10.1186/1755-8794-2-48

Ejemplares similares

How to get the most from microarray data: advice from reverse genomics
por: Gorlov, Ivan P, et al.
Publicado: (2014)

Genes with a large intronic burden show greater evolutionary conservation on the protein level
por: Gorlova, Olga, et al.
Publicado: (2014)

GWAS Meets Microarray: Are the Results of Genome-Wide Association Studies and Gene-Expression Profiling Consistent? Prostate Cancer as an Example
por: Gorlov, Ivan P., et al.
Publicado: (2009)

Building a Statistical Model for Predicting Cancer Genes
por: Gorlov, Ivan P., et al.
Publicado: (2012)

Prioritizing genes associated with prostate cancer development
por: Gorlov, Ivan P, et al.
Publicado: (2010)

Prediction of the gene expression in normal lung tissue by the gene expression in blood
por: Halloran, Justin W., et al.
Publicado: (2015)

Modified Logistic Regression Models Using Gene Coexpression and Clinical Features to Predict Prostate Cancer Progression
por: Zhao, Hongya, et al.
Publicado: (2013)

Identification of lung cancer drivers by comparison of the observed and the expected numbers of missense and nonsense mutations in individual human genes
por: Gorlova, Olga Y., et al.
Publicado: (2022)

Relative effects of mutability and selection on single nucleotide polymorphisms in transcribed regions of the human genome
por: Gorlov, Ivan P, et al.
Publicado: (2008)

Allelic Spectra of Risk SNPs Are Different for Environment/Lifestyle Dependent versus Independent Diseases
por: Gorlov, Ivan P., et al.
Publicado: (2015)

SNP eQTL status and eQTL density in the adjacent region of the SNP are associated with its statistical significance in GWA studies
por: Gorlov, Ivan, et al.
Publicado: (2019)

The protein arginine methyltransferases (PRMTs) PRMT1 and CARM1 as candidate epigenetic drivers in prostate cancer progression
por: Grypari, Ioanna Maria, et al.
Publicado: (2021)

Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples
por: Gorlov, Ivan P., et al.
Publicado: (2018)

Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure
por: Byun, Jinyoung, et al.
Publicado: (2017)

FastPop: a rapid principal component derived method to infer intercontinental ancestry using genetic data
por: Li, Yafang, et al.
Publicado: (2016)

Initial Medical Attention on Patients with Early-Stage Non-Small Cell Lung Cancer
por: Chen, Xing, et al.
Publicado: (2012)

Systematic review and meta-analysis of candidate gene association studies of benign prostate hyperplasia
por: Lin, Lin, et al.
Publicado: (2022)

Function of Tumor Suppressors in Resistance to Antiandrogen Therapy and Luminal Epithelial Plasticity of Aggressive Variant Neuroendocrine Prostate Cancers
por: Soundararajan, Rama, et al.
Publicado: (2018)

Perlecan, a candidate gene for the CAPB locus, regulates prostate cancer cell growth via the Sonic Hedgehog pathway
por: Datta, Milton W, et al.
Publicado: (2006)

Targeting of CYP17A1 Lyase by VT-464 Inhibits Adrenal and Intratumoral Androgen Biosynthesis and Tumor Growth of Castration Resistant Prostate Cancer
por: Maity, Sankar N., et al.
Publicado: (2016)

Identification of candidate genes for prostate cancer-risk SNPs utilizing a normal prostate tissue eQTL data set
por: Thibodeau, S. N., et al.
Publicado: (2015)

Schizophrenia Gene Networks and Pathways and Their Applications for Novel Candidate Gene Selection
por: Sun, Jingchun, et al.
Publicado: (2010)

Neuroendocrine and Aggressive-Variant Prostate Cancer
por: Spetsieris, Nicholas, et al.
Publicado: (2020)

Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study
por: Mei, Hao, et al.
Publicado: (2018)

Tissue Effects in a Randomized Controlled Trial of Short-term Finasteride in Early Prostate Cancer()
por: Kim, Jeri, et al.
Publicado: (2016)

Analyzing Functional Pathways and constructing gene-gene network for Narcolepsy based on candidate genes
por: Ouyang, Hui, et al.
Publicado: (2020)

Identification of markers of prostate cancer progression using candidate gene expression
por: Larkin, S E T, et al.
Publicado: (2012)

Chromatin interactions and candidate genes at ten prostate cancer risk loci
por: Du, Meijun, et al.
Publicado: (2016)

Cardiometabolic healthcare for men with prostate cancer: an MD Anderson Cancer Center experience
por: Hahn, Andrew W., et al.
Publicado: (2023)

Mesenchymal and stem-like prostate cancer linked to therapy-induced lineage plasticity and metastasis
por: Han, Hyunho, et al.
Publicado: (2022)

Integrative approach using liver and duodenum RNA-Seq data identifies candidate genes and pathways associated with feed efficiency in pigs
por: Ramayo-Caldas, Yuliaxis, et al.
Publicado: (2018)

Site-Specific and Common Prostate Cancer Metastasis Genes as Suggested by Meta-Analysis of Gene Expression Data
por: Samaržija, Ivana
Publicado: (2021)

Integrating human omics data to prioritize candidate genes
por: Chen, Yong, et al.
Publicado: (2013)

Transcriptome Meta-Analysis Identifies Candidate Hub Genes and Pathways of Pathogen Stress Responses in Arabidopsis thaliana
por: Biniaz, Yaser, et al.
Publicado: (2022)

Why does the X chromosome lag behind autosomes in GWAS findings?
por: Gorlov, Ivan P., et al.
Publicado: (2023)

Meta-QTLs and candidate genes for stripe rust resistance in wheat
por: Jan, Irfat, et al.
Publicado: (2021)

Selection of candidate genes controlling veraison time in grapevine through integration of meta-QTL and transcriptomic data
por: Delfino, Pietro, et al.
Publicado: (2019)

Identification of key candidate genes and biological pathways in bladder cancer
por: Gao, Xin, et al.
Publicado: (2018)

Gene Expression Microarray Data Meta-Analysis Identifies Candidate Genes and Molecular Mechanism Associated with Clear Cell Renal Cell Carcinoma
por: Wang, Ying, et al.
Publicado: (2020)

Integrative Data Mining Highlights Candidate Genes for Monogenic Myopathies
por: Neto, Osorio Abath, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_654kscfu7lc28j07ve7i5vjt1m