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

Marti, Josep; Fuster, Josep; Estanyol, Josep Marı́a; Fernández, Félix G.; Deulofeu, R.; Ferrer, Joana; Pelegrina, Amalia; Reyes, Adalgiza; Fondevila, Constantino; García-Valdecasas, J.C.

doi:10.1007/s12094-012-0990-0

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…There are few studies focused on the proteomic profiles of CRLM patients [22] , [23] . These investigations are mainly related to predicting neoplastic recurrence after CRLM resection and metachronous liver metastasis from colorectal cancer in serum samples.…”

Section: Discussionmentioning

confidence: 99%

Metastatic Tissue Proteomic Profiling Predicts 5-Year Outcomes in Patients with Colorectal Liver Metastases

Marfà

Marti

Reyes

et al. 2016

Translational Oncology

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Colorectal cancer (CRC) is one of the most common cancers in the developed countries, and nearly 70% of patients with CRC develop colorectal liver metastases (CRLMs). During the last decades, several scores have been proposed to predict recurrence after CRLM resection. However, these risk scoring systems do not accurately reflect the prognosis of these patients. Therefore, this investigation was designed to identify a proteomic profile in human hepatic tumor samples to classify patients with CRLM as “mild” or “severe” based on the 5-year survival. The study was performed on 85 CRLM tumor samples. Firstly, to evaluate any distinct tumor proteomic signatures between mild and severe CRLM patients, a training group of 57 CRLM tumor samples was characterized by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, and a classification and regression tree (CART) analysis was subsequently performed. Finally, 28 CRLM tumor samples were used to confirm and validate the results obtained. Based on all the protein peaks detected in the training group, the CART analysis was generated, and four peaks were considered to be the most relevant to construct a diagnostic algorithm. Indeed, the multivariate model yielded a sensitivity of 85.7% and a specificity of 86.1%, respectively. In addition, the receiver operating characteristic (ROC) curve showed an excellent diagnostic accuracy to discriminate mild from severe CRLM patients (area under the ROC: 0.903). Finally, the validation process yielded a sensitivity and specificity of 68.8% and 83.3%, respectively. We identified a proteomic profile potentially useful to determine the prognosis of CRLM patients based on the 5-year survival.

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Section: Discussionmentioning

confidence: 99%

Metastatic Tissue Proteomic Profiling Predicts 5-Year Outcomes in Patients with Colorectal Liver Metastases

Marfà

Marti

Reyes

et al. 2016

Translational Oncology

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“…Further preclinical investigation of the proteomic biomarkers may also prove beneficial, ideally with larger sample sizes to strengthen the validity of the results. The utilisation of MS-based techniques may enable the discovery of many more proteins that can prognosticate CRLM, with reports that MS-derived proteomic profiles can predict the risk of CRLM recurrence after resection [45] . Comparison of serum proteomic results with tissue specimen or urine proteomics results may provide insights into the molecular signature of CRLM, as would comparison or integration with results from genomic or transcriptomic studies of CRLM.…”

Section: Challenges and Opportunities In Clinical Applicationsmentioning

confidence: 99%

Prognostic circulating proteomic biomarkers in colorectal liver metastases

Kim¹,

Gupta²,

Wong³

2023

Computational and Structural Biotechnology Journal

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Prognostic Prediction by Liver Tissue Proteomic Profiling in Patients with Colorectal Liver Metastases

et al. 2017

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

Abstract: Proteomic profiles are a promising tool for discriminating CLM patients from healthy patients and for predicting neoplastic recurrence.

Cited by 3 publications

References 12 publications

Metastatic Tissue Proteomic Profiling Predicts 5-Year Outcomes in Patients with Colorectal Liver Metastases

Metastatic Tissue Proteomic Profiling Predicts 5-Year Outcomes in Patients with Colorectal Liver Metastases

Prognostic circulating proteomic biomarkers in colorectal liver metastases

Prognostic Prediction by Liver Tissue Proteomic Profiling in Patients with Colorectal Liver Metastases

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