Evaluation of Clinical and Pathological Factors to Predict High Risk of Recurrence in Patients With Stage II Colon Cancer |
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Affiliation: | 1. Institut des Maladies de l''Appareil Digestif, Digestive Oncology Unit, University Hospital, Nantes, France;2. Department of Pathology, University Hospital, Nantes, France;3. Department of Pharmacy, University Hospital, Nantes, France;1. Department of Internal Medicine, Northwest Clinics, Alkmaar, The Netherlands;2. Department of Pathology, Northwest Clinics, Alkmaar, The Netherlands;3. Department of Medical Oncology, Northwest Clinics, Alkmaar, The Netherlands;1. Oncologia Medica, Dipartimento di Medicina di Precisione, Università degli Studi della Campania “L. Vanvitelli”, Naples, Italy;2. Oncologia Medica, Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy;3. Oncologia Medica, Istituto Nazionale dei Tumori di Milano, Milan, Italy;4. Oncologia Medica, Istituto Nazionale per lo Studio e la Cura dei Tumori “Fondazione Giovanni Pascale” – IRCCS, Naples, Italy;5. Oncologia Medica, Azienda Ospedaliera Universitaria, Università di Pisa, Pisa, Italy;1. Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia;2. Sir PeterMacCallum Department of Oncology, University of Melbourne, Parkville, Australia;3. Department of Surgical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia;4. Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Australia |
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Abstract: | Background: The ability to predict patients with stage II colon cancer at high risk of recurrence is currently limited to certain clinicopathologic factors. Patients and Methods: This population-based study reviewed various prognostic factors to identify those associated with worse time to recurrence (TTR) and improved disease-specific survival (DSS), and to subsequently develop a prognostic index (PI) to identify high risk cancers. Results: Multivariate analyses revealed factors significant for TTR and DSS. A PI derived from the TTR risk factors identified 3 risk groups using 5-year rate without relapse: 88% for low-risk, 81% for intermediate-risk, and 59% for high risk. Conclusion: This model was better at identifying high risk patients than using equally weighted standard risk factors. |
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Keywords: | Recurrence High risk |
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