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CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data
dc.rights.license | open | en_US |
dc.contributor.author | KARAMOUZA, Eleni | |
dc.contributor.author | GLASSPOOL, Rosalind M. | |
dc.contributor.author | KELLY, Caroline | |
dc.contributor.author | LEWSLEY, Liz-Anne | |
dc.contributor.author | CARTY, Karen | |
dc.contributor.author | KRISTENSEN, Gunnar B. | |
dc.contributor.author | ETHIER, Josee-Lyne | |
dc.contributor.author | KAGIMURA, Tatsuo | |
dc.contributor.author | YANAIHARA, Nozomu | |
dc.contributor.author | CECERE, Sabrina Chiara | |
dc.contributor.author | YOU, Benoit | |
dc.contributor.author | BOERE, Ingrid A | |
dc.contributor.author | PUJADE-LAURAINE, Eric | |
dc.contributor.author | RAY-COQUARD, Isabelle | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | PROUST LIMA, Cecile | |
dc.contributor.author | PAOLETTI, Xavier | |
dc.date.accessioned | 2023-04-18T08:21:32Z | |
dc.date.available | 2023-04-18T08:21:32Z | |
dc.date.issued | 2023-03-17 | |
dc.identifier.issn | 2072-6694 | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/173043 | |
dc.description.abstractEn | (1) Background: Cancer antigen 125 (CA-125) is a protein produced by ovarian cancer cells that is used for patients' monitoring. However, the best ways to analyze its decline and prognostic role are poorly quantified. (2) Methods: We leveraged individual patient data from the Gynecologic Cancer Intergroup (GCIG) meta-analysis (N = 5573) to compare different approaches summarizing the early trajectory of CA-125 before the prediction time (called the landmark time) at 3 or 6 months after treatment initiation in order to predict overall survival. These summaries included observed and estimated measures obtained by a linear mixed model (LMM). Their performances were evaluated by 10-fold cross-validation with the Brier score and the area under the ROC (AUC). (3) Results: The estimated value and the last observed value at 3 months were the best measures used to predict overall survival, with an AUC of 0.75 CI 95% [0.70; 0.80] at 24 and 36 months and 0.74 [0.69; 0.80] and 0.75 [0.69; 0.80] at 48 months, respectively, considering that CA-125 over 6 months did not improve the AUC, with 0.74 [0.68; 0.78] at 24 months and 0.71 [0.65; 0.76] at 36 and 48 months. (4) Conclusions: A 3-month surveillance provided reliable individual information on overall survival until 48 months for patients receiving first-line chemotherapy. | |
dc.language.iso | EN | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject.en | Ovarian cancer | |
dc.subject.en | CA-125 | |
dc.subject.en | Biomarker | |
dc.subject.en | Linear mixed model | |
dc.subject.en | Meta-analysis | |
dc.title.en | CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data | |
dc.title.alternative | Cancers (Basel) | en_US |
dc.type | Article de revue | en_US |
dc.identifier.doi | 10.3390/cancers15061823 | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
dc.identifier.pubmed | 36980708 | en_US |
bordeaux.journal | Cancers | en_US |
bordeaux.volume | 15 | en_US |
bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
bordeaux.issue | 6 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | INSERM | en_US |
bordeaux.team | BIOSTAT_BPH | en_US |
bordeaux.peerReviewed | oui | en_US |
bordeaux.inpress | non | en_US |
hal.identifier | hal-04072476 | |
hal.version | 1 | |
hal.date.transferred | 2023-04-18T08:22:11Z | |
hal.export | true | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Cancers&rft.date=2023-03-17&rft.volume=15&rft.issue=6&rft.eissn=2072-6694&rft.issn=2072-6694&rft.au=KARAMOUZA,%20Eleni&GLASSPOOL,%20Rosalind%20M.&KELLY,%20Caroline&LEWSLEY,%20Liz-Anne&CARTY,%20Karen&rft.genre=article |