Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
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Toward the integration of Omics data in epidemiological studies: still a "long and winding road".The TP53 gene rs1042522 C>G polymorphism and neuroblastoma risk in Chinese children.BARD1 Gene Polymorphisms Confer Nephroblastoma Susceptibility.A novel TP53 variant (rs78378222 A > C) in the polyadenylation signal is associated with increased cancer susceptibility: evidence from a meta-analysis.Association between genetic variants in the XPG gene and gastric cancer risk in a Southern Chinese population.Association of genetic variations in the Wnt signaling pathway genes with myocardial infarction susceptibility in Chinese Han population.Immune Modulation by Androgen Deprivation and Radiation Therapy: Implications for Prostate Cancer Immunotherapy.Intraglomerular crosstalk elaborately regulates podocyte injury and repair in diabetic patients: insights from a 3D multiscale modeling study.MDM4 rs4245739 A > C polymorphism correlates with reduced overall cancer risk in a meta-analysis of 69477 subjects.Mutations in Cancer Cause Gain of Cysteine, Histidine, and Tryptophan at the Expense of a Net Loss of Arginine on the Proteome Level.Mutant TP53 disrupts age-related accumulation patterns of somatic mutations in multiple cancer types.Characterization of potential driver mutations involved in human breast cancer by computational approaches.Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics studyCASP8 -652 6N insertion/deletion polymorphism and overall cancer risk: evidence from 49 studies.Prominent features of the amino acid mutation landscape in cancer.The association between gene SNPs and cancer predisposition: Correlation or causality?Mutational Analysis of Gene Fusions Predicts Novel MHC Class I-Restricted T cell Epitopes & Immune Signatures in a Subset of Prostate Cancer.Cancer-associated arginine-to-histidine mutations confer a gain in pH sensing to mutant proteins.Detection of Combinatorial Mutational Patterns in Human Cancer Genomes by Exclusivity Analysis.MUC16 overexpression induced by gene mutations promotes lung cancer cell growth and invasion.Aptamers as Diagnostic Tools in CancerWild-type p53 oligomerizes more efficiently than p53 hot-spot mutants and overcomes mutant p53 gain-of-function via a "dominant-positive" mechanism
P2860
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P2860
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
@ast
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
@en
type
label
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
@ast
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
@en
prefLabel
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
@ast
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
@en
P2093
P2860
P356
P1433
P1476
Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
@en
P2093
P2860
P2888
P356
10.1038/SREP12566
P407
P577
2015-07-27T00:00:00Z