From prospective biobanking to precision medicine: BIO-RAIDs – an EU study protocol in cervical cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Charlotte Ngo, Sanne Samuels, Ksenia Bagrintseva, Andrea Slocker, Philippe Hupé, Gemma Kenter, Marina Popovic, Nina Samet, Patricia Tresca, Heiko von der Leyen, Eric Deutsch, Roman Rouzier, Lisa Belin, Maud Kamal, Suzy Scholl, RAIDs consortium http://www.raids-fp7.eu/

ABSTRACT

BACKGROUND: Cervical cancer (CC) is -second to breast cancer- a dominant cause of gynecological cancer-related deaths worldwide. CC tumor biopsies and blood samples are of easy access and vital for the development of future precision medicine strategies. DESIGN: BIO-RAIDs is a prospective multicenter European study, presently recruiting patients in 6 EU countries. Tumor and liquid biopsies from patients with previously non-treated cervical cancer (stages IB2-IV) are collected at defined time points. Patients receive standard primary treatment according to the stage of their disease. 700 patients are planned to be enrolled. The main objectives are the discovery of -dominant molecular alterations, -signalling pathway activation, and -tumor micro-environment patterns that may predict response or resistance to treatment. An exhaustive molecular analysis is performed using 1° Next generation sequencing, 2° Reverse phase protein arrays and 3° Immuno-histochemistry. DISCUSSION: The clinical study BIO-RAIDs is activated in all planned countries, 170 patients have been recruited till now. This study will make an important contribution towards precision medicine treatments in cervical cancer. The results will support the development of clinical practice guidelines for cervical cancer patients to improve their prognosis and their quality of life. TRIAL REGISTRATION: Clinicaltrials.gov: NCT02428842 , registered 10 February 2015. More... »

PAGES

842

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12885-015-1801-0

DOI

http://dx.doi.org/10.1186/s12885-015-1801-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025665095

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26531748


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s12885-015-1801-0'

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/s12885-015-1801-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12885-015-1801-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12885-015-1801-0'


 

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