Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/112871
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dc.creatorAntonio Araújo
dc.date.accessioned2019-02-06T14:55:12Z-
dc.date.available2019-02-06T14:55:12Z-
dc.date.issued2017
dc.identifier.issn1949-2553
dc.identifier.othersigarra:273323
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/112871-
dc.description.abstractSurvival improvement in rectal cancer treated with neoadjuvant chemoradiotherapy (nCRT) is achieved only if pathological response occurs. Mandard tumor regression grade (TRG) proved to be a valid system to measure nCRT response. The ability to predict tumor response before treatment may significantly have impact the selection of patients for nCRT in rectal cancer. The aim is to identify potential predictive pretreatment factors for Mandard response and build a clinical predictive model design. 167 patients with locally advanced rectal cancer were treated with nCRT and curative surgery. Blood cell counts in peripheral blood were analyzed. Pretreatment biopsies expression of cyclin D1, epidermal growth factor receptor (EGFR), vascular endothelial growth factor (VEGF) and protein 21 were assessed. A total of 61 single nucleotide polymorphisms were characterized using the Sequenom platform through multiplex amplification followed by mass-spectometric product separation. Surgical specimens were classified according to Mandard TRG. The patients were divided as: "good responders" (Mandard TRG1-2) and "poor responders" (Mandard TGR3-5). We examined predictive factors for Mandard response and performed statistical analysis. In univariate analysis, distance from anal verge, neutrophil lymphocyte ratio (NLR), cyclin D1, VEGF, EGFR, protein 21 and rs1810871 interleukin 10 (IL10) gene polymorphism are the pretreatment variables with predictive value for Mandard response. In multivariable analysis, NLR, cyclin D1, protein 21 and rs1800871 in IL10 gene maintain predictive value, allowing a clinical model design. Conclusion: It seems possible to use pretreatment expression of blood and tissue biomarkers, and build a model of tumor response prediction to neoadjuvant chemoradiation in rectal cancer.
dc.language.isoeng
dc.rightsrestrictedAccess
dc.titlePredictive clinical model of tumor response after chemoradiation in rectal cancer
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoInstituto de Ciências Biomédicas Abel Salazar
dc.identifier.doi10.18632/oncotarget.19651
dc.identifier.authenticusP-00M-ZMQ
Appears in Collections:ICBAS - Artigo em Revista Científica Internacional

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