CA-125 AUC as a predictor for epithelial ovarian cancer relapse
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2008 |
| Outros Autores: | , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10400.4/476 |
Resumo: | PURPOSE: The aim of the present work was to evaluate the usefulness of CA-125 normalized in time area under the curve (CA-125 AUC) to signalise epithelial ovarian cancer relapse. PATIENTS AND METHODS: Data from a hundred and eleven patients were submitted to two different approaches based on CA-125 AUC increase values to predict patient relapse. In Criterion A total CA-125 AUC normalized in time value (AUC(i)) was compared with the immediately previous one (AUC(i-1)) using the formulae AUC(i) > or = F * AUC(i-1) (several F values were tested) to find the appropriate close related increment associated to patient relapse. In Criterion B total CA-125 AUC normalised in time was calculated and several cut-off values were correlated with patient relapse prediction capacity. RESULTS: In Criterion A the best accuracy was achieved with a factor (F) of 1.25 (increment of 25% from the previous status), while in Criterion B the best accuracies were achieved with cut-offs of 25, 50, 75 and 100 IU/mL. The mean lead time to relapse achieved with Criterion A was 181 days, while with Criterion B they were, respectively, 131, 111, 63 and 11 days. CONCLUSION: Based on our results we believe that conjugation and sequential application of both criteria in patient relapse detection should be highly advisable. CA-125 AUC rapid burst in asymptomatic patients should be firstly evaluated using Criterion A with a high accuracy (0.85) and with a substantial mean lead time to relapse (181 days). If a negative answer was obtained then Criterion B should performed to confirm the absence of relapse. |
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CA-125 AUC as a predictor for epithelial ovarian cancer relapseNeoplasias do OvárioMarcadores Tumorais BiológicosAntigénio CA-125PURPOSE: The aim of the present work was to evaluate the usefulness of CA-125 normalized in time area under the curve (CA-125 AUC) to signalise epithelial ovarian cancer relapse. PATIENTS AND METHODS: Data from a hundred and eleven patients were submitted to two different approaches based on CA-125 AUC increase values to predict patient relapse. In Criterion A total CA-125 AUC normalized in time value (AUC(i)) was compared with the immediately previous one (AUC(i-1)) using the formulae AUC(i) > or = F * AUC(i-1) (several F values were tested) to find the appropriate close related increment associated to patient relapse. In Criterion B total CA-125 AUC normalised in time was calculated and several cut-off values were correlated with patient relapse prediction capacity. RESULTS: In Criterion A the best accuracy was achieved with a factor (F) of 1.25 (increment of 25% from the previous status), while in Criterion B the best accuracies were achieved with cut-offs of 25, 50, 75 and 100 IU/mL. The mean lead time to relapse achieved with Criterion A was 181 days, while with Criterion B they were, respectively, 131, 111, 63 and 11 days. CONCLUSION: Based on our results we believe that conjugation and sequential application of both criteria in patient relapse detection should be highly advisable. CA-125 AUC rapid burst in asymptomatic patients should be firstly evaluated using Criterion A with a high accuracy (0.85) and with a substantial mean lead time to relapse (181 days). If a negative answer was obtained then Criterion B should performed to confirm the absence of relapse.IOS PressRIHUCMano, AFalcão, AGodinho, ISantos, JLeitão, FOliveira, CFCaramona, M2009-03-25T15:43:47Z20082008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.4/476enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-30T03:21:28Zoai:rihuc.huc.min-saude.pt:10400.4/476Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:44:08.229473Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse |
| title |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse |
| spellingShingle |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse Mano, A Neoplasias do Ovário Marcadores Tumorais Biológicos Antigénio CA-125 |
| title_short |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse |
| title_full |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse |
| title_fullStr |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse |
| title_full_unstemmed |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse |
| title_sort |
CA-125 AUC as a predictor for epithelial ovarian cancer relapse |
| author |
Mano, A |
| author_facet |
Mano, A Falcão, A Godinho, I Santos, J Leitão, F Oliveira, CF Caramona, M |
| author_role |
author |
| author2 |
Falcão, A Godinho, I Santos, J Leitão, F Oliveira, CF Caramona, M |
| author2_role |
author author author author author author |
| dc.contributor.none.fl_str_mv |
RIHUC |
| dc.contributor.author.fl_str_mv |
Mano, A Falcão, A Godinho, I Santos, J Leitão, F Oliveira, CF Caramona, M |
| dc.subject.por.fl_str_mv |
Neoplasias do Ovário Marcadores Tumorais Biológicos Antigénio CA-125 |
| topic |
Neoplasias do Ovário Marcadores Tumorais Biológicos Antigénio CA-125 |
| description |
PURPOSE: The aim of the present work was to evaluate the usefulness of CA-125 normalized in time area under the curve (CA-125 AUC) to signalise epithelial ovarian cancer relapse. PATIENTS AND METHODS: Data from a hundred and eleven patients were submitted to two different approaches based on CA-125 AUC increase values to predict patient relapse. In Criterion A total CA-125 AUC normalized in time value (AUC(i)) was compared with the immediately previous one (AUC(i-1)) using the formulae AUC(i) > or = F * AUC(i-1) (several F values were tested) to find the appropriate close related increment associated to patient relapse. In Criterion B total CA-125 AUC normalised in time was calculated and several cut-off values were correlated with patient relapse prediction capacity. RESULTS: In Criterion A the best accuracy was achieved with a factor (F) of 1.25 (increment of 25% from the previous status), while in Criterion B the best accuracies were achieved with cut-offs of 25, 50, 75 and 100 IU/mL. The mean lead time to relapse achieved with Criterion A was 181 days, while with Criterion B they were, respectively, 131, 111, 63 and 11 days. CONCLUSION: Based on our results we believe that conjugation and sequential application of both criteria in patient relapse detection should be highly advisable. CA-125 AUC rapid burst in asymptomatic patients should be firstly evaluated using Criterion A with a high accuracy (0.85) and with a substantial mean lead time to relapse (181 days). If a negative answer was obtained then Criterion B should performed to confirm the absence of relapse. |
| publishDate |
2008 |
| dc.date.none.fl_str_mv |
2008 2008-01-01T00:00:00Z 2009-03-25T15:43:47Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10400.4/476 |
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http://hdl.handle.net/10400.4/476 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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IOS Press |
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IOS Press |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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