An approach for understanding the inflammation and cancer relationship

An approach for understanding the inflammation and cancer relationship

Item
http://www.wikidata.org/entity/Q59210324
Cytokine profile determined by data-mining analysis set into clusters of non-small-cell lung cancer patients according to prognosis.Prognostic value of myeloid differentiation primary response 88 and Toll-like receptor 4 in breast cancer patients.A Prospective Evaluation of the Association between a Single Nucleotide Polymorphism rs3775291 in Toll-Like Receptor 3 and Breast Cancer RelapseAnti-Inflammatory Effects of a Methanol Extract from the Marine Sponge Geodia cydonium on the Human Breast Cancer MCF-7 Cell Line.Serum Cytokinome Profile Evaluation: A Tool to Define New Diagnostic and Prognostic Markers of Cancer Using Multiplexed Bead-Based ImmunoassaysSynergistic antitumor effect of Doxorubicin and tacrolimus (FK506) on hepatocellular carcinoma cell lines.Study of TLR3, TLR4, and TLR9 in prostate carcinomas and their association with biochemical recurrence.Lipopolysaccharide-induced toll-like receptor 4 signaling in esophageal squamous cell carcinoma promotes tumor proliferation and regulates inflammatory cytokines expression.
P2860

An approach for understanding the inflammation and cancer relationship

Item
http://www.wikidata.org/entity/Q59210324
description
scientific article published on 20 August 2009
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована у вересні 2009
@uk
name
An approach for understanding the inflammation and cancer relationship
@en
An approach for understanding the inflammation and cancer relationship
@nl
type
label
An approach for understanding the inflammation and cancer relationship
@en
An approach for understanding the inflammation and cancer relationship
@nl
prefLabel
An approach for understanding the inflammation and cancer relationship
@en
An approach for understanding the inflammation and cancer relationship
@nl
P1433
P1476
P2093
P304
P31
P356
P433
P478
P50
P577
P698
P921
P356
P1433
P1476
An approach for understanding the inflammation and cancer relationship
@en
P2093
P304
P31
P356
10.1016/J.IMLET.2009.08.006
P433
P478
P50
P577
P698
P921