Ontology type: schema:ScholarlyArticle
2019-12
AUTHORSFrancesca Di Modugno, Cristina Colosi, Paola Trono, Giuseppe Antonacci, Giancarlo Ruocco, Paola Nisticò
ABSTRACTImmune checkpoint inhibitor therapy has changed clinical practice for patients with different cancers, since these agents have demonstrated a significant improvement of overall survival and are effective in many patients. However, an intrinsic or acquired resistance frequently occur and biomarkers predictive of responsiveness should help in patient selection and in defining the adequate treatment options. A deep analysis of the complexity of the tumor microenvironment is likely to further advance the field and hopefully identify more effective combined immunotherapeutic strategies. Here we review the current knowledge on tumor microenvironment, focusing on T cells, cancer associated fibroblasts and extracellular matrix. The use of 3D cell culture models to resemble tumor microenvironment landscape and to screen immunomodulatory drugs is also reviewed. More... »
PAGES117
http://scigraph.springernature.com/pub.10.1186/s13046-019-1086-2
DOIhttp://dx.doi.org/10.1186/s13046-019-1086-2
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30898166
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JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13046-019-1086-2'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13046-019-1086-2'
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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13046-019-1086-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13046-019-1086-2'
This table displays all metadata directly associated to this object as RDF triples.
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