Breast Carcinoma
|
0.100 |
AlteredExpression
|
disease |
BEFREE |
Higher expression of all hub genes was associated with significantly shorter overall survival in patients with breast cancer compared with patients with lower levels of expression of the respective gene.
|
31423162 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
We not only identified the hub target genes of miR-622 <i>in silico</i> but also revealed the regulatory mechanism of miR-622 in breast cancer cell EMT process, viability, and migration <i>in vitro</i> for the first time.
|
31709182 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
This work used bioinformatics analysis to study this mechanism via gene expression profiles of bufadienolide-like chemicals: (1) Differentially expressed gene identification combined with gene set variation analysis, (2) similar small -molecule detection, (3) tissue-specific co-expression network construction, (4) differentially regulated sub-networks related to breast cancer phenome, (5) differentially regulated sub-networks with potential cardiotoxicity, and (6) hub gene selection and their relation to survival probability.
|
30646630 |
2019 |
Breast Carcinoma
|
0.100 |
PosttranslationalModification
|
disease |
BEFREE |
This study aimed to identify differentially expressed hub genes which may be regulated by DNA methylation and evaluate their prognostic value in breast cancer by bioinformatic analysis.
|
31777591 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
We target the phosphorylation-dependent interaction between the hub protein 14-3-3σ and a peptide derived from Estrogen Receptor α (ERα), an important breast cancer target that is negatively regulated by 14-3-3σ.
|
30707565 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
We performed a distinctive correlation analysis of miRNA-mRNA in BC patients, and identified eight miRNAs and five hub genes may be effective biomarkers for the prognosis of BC patients.
|
31037764 |
2019 |
Breast Carcinoma
|
0.100 |
AlteredExpression
|
disease |
BEFREE |
WGCNA was applied for determining hub genes using gene expression data gained from breast cancer and adjacent tissues which were downloaded from the Cancer Genome Atlas (TCGA) database.
|
30810442 |
2019 |
Breast Carcinoma
|
0.100 |
AlteredExpression
|
disease |
BEFREE |
The expression levels of the hub genes were also validated in clinical samples from breast cancer patients.
|
31428132 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
The roles of the genes CASC5, CKAP2L, FAM83D, KIF18B, KIF23, SKA1, GINS1, CDCA5, and MCM6 in breast cancer are unclear, so in order to better reveal the staging of breast cancer markers, it is necessary to study those hub genes.
|
31758680 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses.
|
30506958 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Hub genes in the estimated differential networks rediscover known genes associated with platinum resistance in ovarian cancer and signatures of the breast cancer intrinsic subtypes.
|
29994068 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
The aim of the study was to identify key pathways and hub genes that may serve as a biomarker for BC and uncover potential molecular mechanism using weighted correlation network analysis.
|
31285391 |
2019 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Overexpression of these hub genes was associated with unfavorable prognosis of breast cancer, especially, <i>CCNB1</i> overexpression was observed and indicated poor outcome of TNBC.
|
30140156 |
2018 |
Breast Carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Moreover, the Kaplan-Meier survival analysis was performed using homologenes (MST1R, PIK3CB and PRKCD) of hub genes in human to evaluate whether exposure to bisphenols may adversely affect breast cancer.
|
30265984 |
2018 |
Breast Carcinoma
|
0.100 |
GeneticVariation
|
disease |
BEFREE |
ASSET analyses identified four SNPs significantly associated with multiple cancers: rs3731239 (CDKN2A intronic) with ESCC, GC and BC (P = 3.96 × 10(-) (4)); rs10811474 (3' of IFNW1) with RCC and BrC (P = 0.001); rs12683422 (LINGO2 intronic) with RCC and BC (P = 5.93 × 10(-) (4)) and rs10511729 (3' of ELAVL2) with LC and BrC (P = 8.63 × 10(-) (4)).
|
25239644 |
2014 |