Clinical and prognostic usefulness of serum proteomic profile in hepatic colorectal metastases: a pilot prospective study

被引:3
|
作者
Marti, J. [1 ]
Fuster, J. [1 ]
Estanyol, J. M. [2 ]
Fernandez, F. [2 ]
Deulofeu, R. [3 ]
Ferrer, J. [1 ]
Pelegrina, A. [1 ]
Reyes, A. [1 ]
Fondevila, C. [1 ]
Garcia-Valdecasas, J. C. [1 ]
机构
[1] Univ Barcelona, Liver Surg & Transplantat Unit, Digest & Metab Dis Clin Inst, IDIBAPS,Hosp Clin & Prov,CIBERehd, E-08036 Barcelona, Spain
[2] Univ Barcelona, Prote Unit, Sci & Technol Ctr, E-08036 Barcelona, Spain
[3] Univ Barcelona, Hosp Clin & Prov, Dept Biochem, CIBERehd, E-08036 Barcelona, Spain
来源
CLINICAL & TRANSLATIONAL ONCOLOGY | 2013年 / 15卷 / 09期
关键词
Colorectal cancer; Liver metastases; Prognosis; Proteomic analysis; Proteomic profile; DIFFERENTIALLY EXPRESSED PROTEINS; LIVER METASTASES; SURGICAL RESECTION; NATURAL-HISTORY; SCORING SYSTEM; CARCINOMA; CANCER; ADENOCARCINOMA; MARKERS;
D O I
10.1007/s12094-012-0990-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
To analyze the use of proteomic profiles to discriminate healthy from patients with colorectal liver metastases (CLM) and to predict neoplastic recurrence after CLM resection. From April 2005 to October 2008, 70 patients operated for first curative resection of CLM and 60 healthy controls underwent determination of preoperative serum proteomic profile. We performed a preliminary training with patients and controls and obtained a classification system based on these patients' proteomic profiles training. The system was then tested about the ability to predict the colon versus rectum origin, metachronous or synchronous appearance, risk of recurrence after CLM resection and whether a sample was from a control or a CLM patient. Sensitivity, specificity, positive and negative predictive values for detecting CLM patients were 75, 100, 100 and 54.6 %, respectively. Best CLM appearance time identification was 50 % and primary tumor origin identification was 62.5 %. Best classifications of neoplastic recurrence within the first year after CLM resection and during the follow-up period were 47.5 and 45 %, respectively. Larger training sets and prevalence-based training sets led to better classification of patients and characteristics. Proteomic profiles are a promising tool for discriminating CLM patients from healthy patients and for predicting neoplastic recurrence.
引用
收藏
页码:691 / 697
页数:7
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