Methylation profiling of 48 candidate genes in tumor and matched normal tissues from breast cancer patients.
about
Revealing the Complexity of Breast Cancer by Next Generation SequencingDiscovering gene re-ranking efficiency and conserved gene-gene relationships derived from gene co-expression network analysis on breast cancer data.Integrated analysis of promoter methylation and expression of telomere related genes in breast cancer.Microrna-217 modulates human skin fibroblast senescence by directly targeting DNA methyltransferase 1.Next-Generation Sequencing in Oncology: Genetic Diagnosis, Risk Prediction and Cancer Classification.An Observational Study on Aberrant Methylation of Runx3 With the Prognosis in Chronic Atrophic Gastritis Patients.DUSP1 promoter methylation in peripheral blood leukocyte is associated with triple-negative breast cancer risk.miR-377 induces senescence in human skin fibroblasts by targeting DNA methyltransferase 1.Analysis of the breast cancer methylome using formalin-fixed paraffin-embedded tumour.Runx Genes in Breast Cancer and the Mammary Lineage.DM-BLD: differential methylation detection using a hierarchical Bayesian model exploiting local dependency.Impact of IGF-1, IGF-1R, and IGFBP-3 promoter methylation on the risk and prognosis of esophageal carcinoma.Analysis of BRCA1/2 mutation spectrum and prevalence in unselected Chinese breast cancer patients by next-generation sequencing.Germline variation in ADAMTSL1 is associated with prognosis following breast cancer treatment in young women.Mutation screening of 10 cancer susceptibility genes in unselected breast cancer patients.High-frequency deregulated expression of Wnt signaling pathway members in breast carcinomas.Ultraviolet A irradiation induces senescence in human dermal fibroblasts by down-regulating DNMT1 via ZEB1.Integrated analysis of gene expression and methylation profiles of 48 candidate genes in breast cancer patients.Methylation analysis of plasma cell-free DNA for breast cancer early detection using bisulfite next-generation sequencing.Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients
P2860
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P2860
Methylation profiling of 48 candidate genes in tumor and matched normal tissues from breast cancer patients.
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
Methylation profiling of 48 ca ...... s from breast cancer patients.
@en
Methylation profiling of 48 ca ...... s from breast cancer patients.
@nl
type
label
Methylation profiling of 48 ca ...... s from breast cancer patients.
@en
Methylation profiling of 48 ca ...... s from breast cancer patients.
@nl
prefLabel
Methylation profiling of 48 ca ...... s from breast cancer patients.
@en
Methylation profiling of 48 ca ...... s from breast cancer patients.
@nl
P2093
P2860
P1476
Methylation profiling of 48 ca ...... s from breast cancer patients.
@en
P2093
Jinhua Yan
Limin Peng
Lizhong Dai
Shengyun Li
Shouman Wang
P2860
P2888
P304
P356
10.1007/S10549-015-3276-8
P407
P577
2015-01-31T00:00:00Z
P6179
1024574952