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Biomarkers ; 26(3): 275-285, 2021 May.
Artigo em Inglês | MEDLINE | ID: mdl-33657946

RESUMO

PURPOSE: Only few biomarkers have been evaluated for their prognostic value following radical prostatectomy. We explored if tissue N-glycosylation shows prognostic properties for biochemical recurrence (BCR)-free survival. MATERIALS AND METHODS: Tissue N-glycosylation profile was determined from 82 prostate cancer (PCa) patients and prognostic features were compared to clinical and biochemical parameters for BCR-free survival. RESULTS: Majority presented with Gleason score 3 + 4 (41%), extensive local disease (62%) and without pelvic lymph nodes invasion (83%). Several parameters (low T stage, low Gleason score, low EAU risk groups for BCR, absence of positive surgical margins, high ratio of fucosylated triantennary structures on total of multiantennary structures [3AFc/MA], low ratio of fucosylated biantennary with core-branched N-acetylglucosamine on total of biantennary structures, and high ratio of triantennary structures on total of multiantennary structures) proved to have a univariate beneficial effect on BCR-free survival. Multivariate analysis proved positive surgical margins and 3AFc/MA to be independent prognosticators. CONCLUSIONS: Tissue N-glycans are a powerful prognostic tool and can be an asset in PCa as the ratio of 3AFc/MA is independently associated with BCR-free survival. This could be of clinical use in guiding patients following radical prostatectomy, e.g. referral to adjuvant radiotherapy. Further elaboration of this biomarker is warranted.


Assuntos
Biomarcadores Tumorais/metabolismo , Glicômica , Polissacarídeos/metabolismo , Neoplasias da Próstata/metabolismo , Idoso , Quimioterapia Adjuvante , Intervalo Livre de Doença , Glicosilação , Humanos , Excisão de Linfonodo , Masculino , Margens de Excisão , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Prostatectomia , Neoplasias da Próstata/mortalidade , Neoplasias da Próstata/patologia , Neoplasias da Próstata/terapia , Radioterapia Adjuvante , Medição de Risco , Fatores de Risco , Fatores de Tempo
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