Volume 132, Issue 5 pp. 1090-1097
Early Detection and Diagnosis

Gene-expression signature of tumor recurrence in patients with stage II and III colon cancer treated with 5′fluoruracil-based adjuvant chemotherapy

María Dolores Giráldez

María Dolores Giráldez

Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

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Juan José Lozano

Juan José Lozano

Bioinformatics Unit, CIBERehd, Barcelona, Catalonia, Spain

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Míriam Cuatrecasas

Míriam Cuatrecasas

Department of Pathology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

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Virginia Alonso-Espinaco

Virginia Alonso-Espinaco

Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

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Joan Maurel

Joan Maurel

Department of Medical Oncology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

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Maribel Mármol

Maribel Mármol

Department of Medical Oncology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

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Carlos Hörndler

Carlos Hörndler

Department of Pathology, Hospital Miguel Servet, Zaragoza, Spain

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Javier Ortego

Javier Ortego

Department of Pathology, Hospital Clínico Lozano Blesa, Zaragoza, Spain

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Vicente Alonso

Vicente Alonso

Department of Medical Oncology, Hospital Miguel Servet, Zaragoza, Spain

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Pilar Escudero

Pilar Escudero

Medical Oncology Departments, Hospital Clínico Lozano Blesa, Zaragoza, Spain

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Gina Ramírez

Gina Ramírez

Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

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Christoph Petry

Christoph Petry

Siemens Healthcare Diagnostics, Germany

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Luis LaSalvia

Luis LaSalvia

Siemens Healthcare Diagnostics, New York, NY

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Kerstin Bohmann

Kerstin Bohmann

Siemens Healthcare Diagnostics, Germany

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Ralph Wirtz

Ralph Wirtz

Siemens Healthcare Diagnostics, Germany

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Aurea Mira

Aurea Mira

Center for Biomedical Diagnosis, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

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Antoni Castells

Corresponding Author

Antoni Castells

Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain

Tel.: +34-93-227-5739, Fax: +34-93-227-5589

Department of Gastroenterology, Hospital Clínic, Villarroel 170, 08036 Barcelona, Catalonia, SpainSearch for more papers by this author
First published: 26 July 2012
Citations: 22

Abstract

Although receiving adjuvant chemotherapy after radical surgery, a disappointing proportion of patients with colorectal cancer will develop tumor recurrence. Probability of relapse is currently predicted from pathological staging, there being a need for additional markers to further select high-risk patients. This study was aimed to identify a gene-expression signature to predict tumor recurrence in patients with Stages II and III colon cancer treated with 5′fluoruracil (5FU)-based adjuvant chemotherapy. Two-hundred and twenty-eight patients diagnosed with Stages II–III colon cancer and treated with surgical resection and 5FU-based adjuvant chemotherapy were included. RNA was extracted from formalin-fixed, paraffin-embedded tissue samples and expression of 27 selected candidate genes was analyzed by RT-qPCR. A tumor recurrence predicting model, including clinico-pathological variables and gene-expression profiling, was developed by Cox regression analysis and validated by bootstrapping. The regression analysis identified tumor stage and S100A2 and S100A10 gene expression as independently associated with tumor recurrence. The risk score derived from this model was able to discriminate two groups with a highly significant different probability of tumor recurrence (HR, 2.75; 95%CI, 1.71–4.39; p = 0.0001), which it was maintained when patients were stratified according to tumor stage. The algorithm was also able to distinguish two groups with different overall survival (HR, 2.68; 95%CI, 1.12–6.42; p = 0.03). Identification of a new gene-expression signature associated with a high probability of tumor recurrence in patients with Stages II and III colon cancer receiving adjuvant 5FU-based chemotherapy, and its combination in a robust, easy-to-use and reliable algorithm may contribute to tailor treatment and surveillance strategies.

Abstract

What's new?

A disappointing proportion of patients with colon cancer who received adjuvant chemotherapy after radical surgery will nonetheless develop tumor recurrence. Patients' chances of relapse are currently being predicted using pathological staging, and additional markers are needed to help select high-risk patients. This study identified a new gene-expression signature that, along with tumor stage, provides a robust and easy-to-use and reliable mathematical algorithm to identify patients at higher risk of tumor relapse and shorter survival who may eventually benefit from a more aggressive therapeutic regimen and more intensive surveillance.

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