Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules - Wikidata - awgldk - TriplyDB

Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules

Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules

http://www.wikidata.org/entity/Q33738285

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DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference Current Issues and Clinical Evidence in Tumor-Infiltrating Lymphocytes in Breast Cancer Breast cancer classification and prognostication through diverse systems along with recent emerging findings in this respect; the dawn of new perspectives in the clinical applications.Reprogramming tumor-infiltrating dendritic cells for CD103+ CD8+ mucosal T-cell differentiation and breast cancer rejection.Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype.Most random gene expression signatures are significantly associated with breast cancer outcome.A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer T-box transcription factor 21 expression in breast cancer and its relationship with prognosis.Dysregulated expression of both the costimulatory CD28 and inhibitory CTLA-4 molecules in PB T cells of advanced cervical cancer patients suggests systemic immunosuppression related to disease progression Cancer-risk module identification and module-based disease risk evaluation: a case study on lung cancer.Efferocytosis produces a prometastatic landscape during postpartum mammary gland involution.Interferon regulatory factor-1 signaling regulates the switch between autophagy and apoptosis to determine breast cancer cell fate Breast cancer - one term, many entities?Denoising perturbation signatures reveal an actionable AKT-signaling gene module underlying a poor clinical outcome in endocrine-treated ER+ breast cancer.Lymphocyte Invasion in IC10/Basal-Like Breast Tumors Is Associated with Wild-Type TP53.Discovery of a Novel Immune Gene Signature with Profound Prognostic Value in Colorectal Cancer: A Model of Cooperativity Disorientation Created in the Process from Development to Cancer.Immunomodulation Mechanism of Antidepressants: Interactions between Serotonin/Norepinephrine Balance and Th1/Th2 Balance Epigenetic variability in cells of normal cytology is associated with the risk of future morphological transformation.CD8+ lymphocyte infiltration is an independent favorable prognostic indicator in basal-like breast cancer Trial watch: Prognostic and predictive value of the immune infiltrate in cancer MerTK inhibition in tumor leukocytes decreases tumor growth and metastasis From High-Throughput Microarray-Based Screening to Clinical Application: The Development of a Second Generation Multigene Test for Breast Cancer Prognosis.Interactions between immunity, proliferation and molecular subtype in breast cancer prognosis.Dendritic cells, inflammation, and breast cancer.Epigenetic and genetic deregulation in cancer target distinct signaling pathway domains.Biomarker gene signature discovery integrating network knowledge.Role of inflammatory infiltrates in triple negative breast cancer.Breast cancer and immunology: biomarker and therapeutic developments.Predicting prognosis and therapeutic response from interactions between lymphocytes and tumor cells.Transcriptional coexpression network reveals the involvement of varying stem cell features with different dysregulations in different gastric cancer subtypes.Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage Approach.Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy.Impact of intra-tumoral IL17A and IL32 gene expression on T-cell responses and lymph node status in breast cancer patients.Immune aspects of the breast tumor microenvironment.Prognostic immune-related gene models for breast cancer: a pooled analysis.Co-expression modules identified from published immune signatures reveal five distinct immune subtypes in breast cancer.Immunization against HIF-1α Inhibits the Growth of Basal Mammary Tumors and Targets Mammary Stem Cells In Vivo.Kernel machine score test for pathway analysis in the presence of semi-competing risks.Interleukin-17-producing cell infiltration in the breast cancer tumour microenvironment is a poor prognostic factor.Including network knowledge into Cox regression models for biomarker signature discovery.

P2860

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P2860

Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules

http://www.wikidata.org/entity/Q33738285

description

2010 nî lūn-bûn

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2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի նոյեմբերին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

Improved prognostic classifica ...... mmune response pathway modules

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Improved prognostic classifica ...... mmune response pathway modules

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type

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Improved prognostic classifica ...... mmune response pathway modules

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Improved prognostic classifica ...... mmune response pathway modules

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Andrew E Teschendorff

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Dorraya El-Ashry

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Marcus Schmidt

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Mathias Gehrmann

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Sergio Gomez

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P2860

Identification of functional modules using network topology and high-throughput data.

Finding and evaluating community structure in networks

Finding community structure in very large networks

Modularity and community structure in networks

Genomic targets of the human c-Myc protein

Fast algorithm for detecting community structure in networks

A gene-expression signature as a predictor of survival in breast cancer

Identification of genes differentially regulated by interferon alpha, beta, or gamma using oligonucleotide arrays

Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer

Oncogenic pathway signatures in human cancers as a guide to targeted therapies

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1471-2407-10-604

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