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A logistic model for the detection of circulating tumour cells in human metastatic colorectal cancer

Authors :
Barbazán, Jorge
Barbazán García, Jorge
Vieito Villar, María
Abalo Piñeiro, Alicia
Alonso Alconada, Lorena
Muinelo Romay , Laura
Alonso Nocelo, Marta
León Mateos, Luis Ángel
Candamio Folgar, Sonia
Gallardo Martín, Maria Elena
Anido Herranz, Urbano
Doll, Andreas
de los Ángeles Casares, María
Gómez-Tato, Antonio
Abal Posada, Miguel
López López, Rafael
Source :
RUNA. Repositorio da Consellería de Sanidade e Sergas, Servizo Galego de Saúde (SERGAS)
Publication Year :
2012

Abstract

The accuracy in the diagnosis of metastatic colorectal cancer (mCRC) represents one of the challenges in the clinical management of patients. The detection of circulating tumour cells (CTC) is becoming a promising alternative to current detection techniques, as it focuses on one of the players of the metastatic disease and it should provide with more specific and sensitive detection rates. Here, we describe an improved method of detection of CTC from mCRC patients by combining immune-enrichment, optimal purification of RNA from very low cell numbers, and the selection of accurate PCR probes. As a result, we obtained a logistic model that combines GAPDH and VIL1 normalized to CD45 rendering powerful results in the detection of CTC from mCRC patients (AUROC value 0.8599). We further demonstrated the utility of this model at the clinical setting, as a reliable prognosis tool to determine progression-free survival in mCRC patients. Overall, we developed a strategy that ameliorates the specificity and sensitivity in the detection of CTC, resulting in a robust and promising logistic model for the clinical management of metastatic colorectal cancer patients. Ministerio de Sanidad, Consumo y Bienestar Social. Beca número: CP08/00142 Programa Comisión Europea Fondo Europeo de Desarollo Regional (FEDER)

Subjects

Subjects :
digestive system diseases

Details

Database :
OpenAIRE
Journal :
RUNA. Repositorio da Consellería de Sanidade e Sergas, Servizo Galego de Saúde (SERGAS)
Accession number :
edsair.dedup.wf.001..6e6a34f05a3d51c494837be1326ed6c2