Circulating endothelial cells and their apoptotic fraction are mutually independent predictive biomarkers in Bevacizumab-based treatment for advanced colorectal cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-07

AUTHORS

Mariangela Manzoni, Sara Mariucci, Sara Delfanti, Bianca Rovati, Monica Ronzoni, Fotios Loupakis, Silvia Brugnatelli, Carmine Tinelli, Eugenio Villa, Alfredo Falcone, Marco Danova

ABSTRACT

BACKGROUND: Bevacizumab has shown consistent clinical efficacy in metastatic colorectal cancer (mCRC), but some patients respond better than others. Thus, it is crucial to identify biomarkers that permit the recognition of potentially responsive subjects and to spare toxicity in those who are unlikely benefit from treatment. METHODS: In 24 mCRC patients undergoing Bevacizumab-based first-line treatment, we assessed by multiparameter flow cytometry changes in circulating endothelial cell (CEC) number, their apoptotic fraction (APO-CEC) and their mutual relationship. Data were compared with those from a group of 21 healthy subjects. RESULTS: CECs and APO-CECs were higher in patients versus controls (p = 0.01 and p > 0.05, respectively). The increase in CECs at the 3rd cycle in complete response (CR) patients was statistically significant (p = 0.048). A better progression-free survival was evidenced in patients that showed an increase in CECs at the 6th cycle (p = 0.009). Regarding the changes in CECs and APO-CECs, a strong correlation was evidenced, at baseline, both in the global population (0.002; r: 0.53) and in the CR subgroup (p: 0.02; r: 0.77). In the partial response + stable and progression disease (SD + PD) subgroup, this correlation was highly significant at the 6th cycle (p: 0.001; r: 0.83). CONCLUSIONS: We confirmed the predictive role of an increase in CECs in mCRC patients treated with Bevacizumab-based therapy and showed that modifications in CECs and APO-CECs are independent factors. This underlines the relevance of a simultaneous quantitative and functional evaluation of these biomarkers in view of their possible diagnostic utility. More... »

PAGES

1187-1196

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00432-012-1190-6

DOI

http://dx.doi.org/10.1007/s00432-012-1190-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028177943

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22419441


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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.10.1007/s00432-012-1190-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00432-012-1190-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00432-012-1190-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00432-012-1190-6'


 

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297 https://www.grid.ac/institutes/grid.18887.3e schema:alternateName San Raffaele Hospital
298 schema:name Oncologia Medica, Istituto Scientifico S. Raffaele, Milan, Italy
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300 https://www.grid.ac/institutes/grid.419425.f schema:alternateName Policlinico San Matteo Fondazione
301 schema:name S.C. Oncologia, Fondazione IRCCS Policlinico S. Matteo, Piazzale C. Golgi 19, I-27100, Pavia, Italy
302 Unità di Epidemiologia Clinica e Biometria, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy
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