A gene signature for predicting outcome in patients with basal-like breast cancer.
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Association of Protein Translation and Extracellular Matrix Gene Sets with Breast Cancer Metastasis: Findings Uncovered on Analysis of Multiple Publicly Available Datasets Using Individual Patient Data ApproachA prognostic model of triple-negative breast cancer based on miR-27b-3p and node statusFerritin heavy chain in triple negative breast cancer: a favorable prognostic marker that relates to a cluster of differentiation 8 positive (CD8+) effector T-cell response.A program to identify prognostic and predictive gene signaturesNon-muscle myosins in tumor progression, cancer cell invasion, and metastasis.A target based approach identifies genomic predictors of breast cancer patient response to chemotherapy.Mammary glands exhibit molecular laterality and undergo left-right asymmetric ductal epithelial growth in MMTV-cNeu mice.Combined deletion of Pten and p53 in mammary epithelium accelerates triple-negative breast cancer with dependency on eEF2KSystematic assessment of prognostic gene signatures for breast cancer shows distinct influence of time and ER status.Immune cell transcript modules reveal leukocyte heterogeneity in synovial biopsies of seronegative spondylarthropathy patients.The effects of lymph node status on predicting outcome in ER+ /HER2- tamoxifen treated breast cancer patients using gene signaturesIdentification and evaluation of network modules for the prognosis of basal-like breast cancerBasal-like breast cancer: molecular profiles, clinical features and survival outcomesIdentification of cell proliferation, immune response and cell migration as critical pathways in a prognostic signature for HER2+:ERα- breast cancer.LRIG1 opposes epithelial-to-mesenchymal transition and inhibits invasion of basal-like breast cancer cells.A Tumor initiating cell-enriched prognostic signature for HER2+:ERα- breast cancer; rationale, new features, controversies and future directionsMyosin 1e promotes breast cancer malignancy by enhancing tumor cell proliferation and stimulating tumor cell de-differentiation.Comparative proteome analysis revealing an 11-protein signature for aggressive triple-negative breast cancer.Breast tumor subgroups reveal diverse clinical prognostic power.A cancer stem cell model for studying brain metastases from primary lung cancer.Transcript signatures that predict outcome and identify targetable pathways in MYCN-amplified neuroblastomaIncreased α-actinin-1 destabilizes E-cadherin-based adhesions and associates with poor prognosis in basal-like breast cancer.Expression ratio of the TGFβ-inducible gene MYO10 is prognostic for overall survival of squamous cell lung cancer patients and predicts chemotherapy response.Collagen prolyl 4-hydroxylase 1 is essential for HIF-1α stabilization and TNBC chemoresistance
P2860
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P2860
A gene signature for predicting outcome in patients with basal-like breast cancer.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
@zh-cn
name
A gene signature for predicting outcome in patients with basal-like breast cancer.
@ast
A gene signature for predicting outcome in patients with basal-like breast cancer.
@en
type
label
A gene signature for predicting outcome in patients with basal-like breast cancer.
@ast
A gene signature for predicting outcome in patients with basal-like breast cancer.
@en
prefLabel
A gene signature for predicting outcome in patients with basal-like breast cancer.
@ast
A gene signature for predicting outcome in patients with basal-like breast cancer.
@en
P2093
P2860
P356
P1433
P1476
A gene signature for predicting outcome in patients with basal-like breast cancer.
@en
P2093
Anita Bane
Anna Dvorkin-Gheva
John A Hassell
Robin M Hallett
P2860
P2888
P356
10.1038/SREP00227
P407
P577
2012-01-17T00:00:00Z