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Oncol Res Treat ; 40(1-2): 21-26, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28192780

RESUMO

BACKGROUND: In metastatic colorectal cancer, no upfront or on-treatment markers are available to determine the prognosis or efficacy for chemotherapy in combination with bevacizumab. PATIENTS AND METHODS: The current analysis was performed to evaluate the prognostic value of disease and patient characteristics (age, number of metastatic sites, stage of primary tumor, performance status, carcinoembryonic antigen (CEA)) and on-treatment changes of CEA (response after 8-12 weeks of treatment and specific patterns of CEA kinetics) in patients from an observational cohort study of chemotherapy with bevacizumab. RESULTS: Baseline factors were available from 1,438 patients. Patients with baseline CEA levels > 20 ng/ml, more than 1 metastatic site, and age > 75 years showed significantly lower progression-free (PFS) and overall survival in multivariate analysis. A CEA response of > 30% during treatment was associated with increased PFS. In addition, the pattern of CEA kinetics predicts survival and response to treatment. CONCLUSION: In summary, baseline CEA, number of metastatic sites, and age are strong independent prognostic factors for survival. By monitoring CEA, clear patterns with distinct prognostic value can be determined. CEA kinetics and/or response after 8-12 weeks might be a useful and simple tool to stratify the post-induction treatment approach based on individual prognosis in the future.


Assuntos
Bevacizumab/uso terapêutico , Antígeno Carcinoembrionário/metabolismo , Neoplasias Colorretais/tratamento farmacológico , Adulto , Idoso , Idoso de 80 Anos ou mais , Protocolos de Quimioterapia Combinada Antineoplásica , Biomarcadores/metabolismo , Estudos de Coortes , Neoplasias Colorretais/patologia , Intervalo Livre de Doença , Feminino , Humanos , Estimativa de Kaplan-Meier , Avaliação de Estado de Karnofsky , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Metástase Neoplásica , Estadiamento de Neoplasias , Prognóstico , Fatores de Tempo
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