2017
DOI: 10.21873/anticanres.12150
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Modeling CA-125 During Neoadjuvant Chemotherapy for Predicting Optimal Cytoreduction and Relapse Risk in Ovarian Cancer

Abstract: We identified CA-125 modeled kinetic parameters during neoadjuvant chemotherapy harboring potential predictive values regarding the likelihood of optimal cytoreduction, along with time to second-line chemotherapy in optimally-cytoreduced patients.

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Cited by 6 publications
(6 citation statements)
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“…CA125 is currently the most widely used tumor marker for the diagnosis of EOC [ 7 , 30 32 ]. It is a glycoprotein with a molecular weight of 200 000, encoded by the MUC16 gene.…”
Section: Resultsmentioning
confidence: 99%
“…CA125 is currently the most widely used tumor marker for the diagnosis of EOC [ 7 , 30 32 ]. It is a glycoprotein with a molecular weight of 200 000, encoded by the MUC16 gene.…”
Section: Resultsmentioning
confidence: 99%
“…The first study published in 2017 by Ducoulombier et al [28] was a retrospective cohort of 54 patients, which showed that the KELIM score was an independent predictor for optimal cytoreduction after neoadjuvant chemotherapy. This result is in accordance with our findings, but with a key difference in the main endpoint, which was complete and not optimal debulking surgery.…”
Section: Discussionmentioning
confidence: 99%
“…The large intra-individual and interindividual variability of miRNA time-changes made any longitudinal assessment impossible with mathematical modeling. As a consequence, it was not adequate to search for relationships between tumor burden alterations and miRNA kinetics using mathematical modeling, contrarily to what was done with CA125 [3,[29][30][31][32].…”
Section: Discussionmentioning
confidence: 99%