4CPS-059 Predictive markers of response to adjuvant treatment in locally advanced ovarian cancer

<h3>Background and Importance</h3> Along with mutations in the BRCA genes and homologous recombination deficiency, the rate of CA-125 biomarker clearance during the first cycles of chemotherapy is emerging as an indicator of chemosensitivity in ovarian cancer. The validated indicator for this clearance rate, KELIM (CA-125 ELIMination Rate Constant K), has demonstrated its prognostic value for the benefit obtained after treatment in several clinical trials. <h3>Aim and Objectives</h3> Our objective was to validate the KELIM score in clinical practice in patients with ovarian cancer treated with adjuvant chemotherapy and to determine whether the KELIM score is predictive of progression-free (PFS) and overall survival (OS). <h3>Material and Methods</h3> Patients with stage III ovarian cancer who had received adjuvant chemotherapy following cytoreductive primary surgery at our centre from January 2014 to January 2024 were included. Patients treated in the recurrent setting were excluded. Demographic and clinical parameters were collected and a multiple logistic regression analysis was conducted to identify the most significant predictor variables. KELIM was calculated, using a validated formula (https://www.biomarker-kinetics.org/CA-125), based on CA-125 values during each treatment cycle within the first 100 days of chemotherapy. At least three values were required, and the obtained score was considered favourable (KELIM ≥1) or unfavourable (KELIM &lt;1), indicating high or low chemosensitivity, respectively. Kaplan-Meier survival analyses was performed for PFS and OS. <h3>Results</h3> 43 patients were included in the analysis. Mean age was 60 years. 56.1% had a favourable KELIM score. In those patients where BRCA status was available, there was a mutation in 20.7%. 88.5% of patients had an optimal surgical cytoreduction. Bevacizumab was added to chemotherapy in 25% of patients. Median follow-up was 4.98 years. Age, BRCA mutation status and antiangiogenic treatment did not show a statistically significant effect on survival. An unfavourable KELIM score was associated with a non-statistically significant lower estimated median PFS (6.00 vs 7.66 years, p=0.167) and OS (6.37 vs 8.06 years, p=0.126) as compared to a favourable KELIM. <h3>Conclusion and Relevance</h3> Patients with ovarian cancer treated with adjuvant chemotherapy with a calculated KELIM score &lt;1 were more likely to have a lower PFS and lower OS when compared to patients with a KELIM score ≥1. <h3>References and/or Acknowledgements</h3> <h3>Conflict of Interest</h3> No conflict of interest

Authors

Institutions

Publication Details

Published
2025-03-01
DOI
https://doi.org/10.1136/ejhpharm-2025-eahp.132
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

4CPS-059 Predictive markers of response to adjuvant treatment in locally advanced ovarian cancer

Mercedes Cavanagh, Teresa Molina García, Rubén Díez Fernández, M Moreno Garcia et al.
Ovarian cancer diagnosis and treatment
article

4CPS-059 Predictive markers of response to adjuvant treatment in locally advanced ovarian cancer

Mercedes Cavanagh, Teresa Molina García, Rubén Díez Fernández, M Moreno Garcia, C Garzo Bledo
article en

Abstract

<h3>Background and Importance</h3> Along with mutations in the BRCA genes and homologous recombination deficiency, the rate of CA-125 biomarker clearance during the first cycles of chemotherapy is emerging as an indicator of chemosensitivity in ovarian cancer. The validated indicator for this clearance rate, KELIM (CA-125 ELIMination Rate Constant K), has demonstrated its prognostic value for the benefit obtained after treatment in several clinical trials. <h3>Aim and Objectives</h3> Our objective was to validate the KELIM score in clinical practice in patients with ovarian cancer treated with adjuvant chemotherapy and to determine whether the KELIM score is predictive of progression-free (PFS) and overall survival (OS). <h3>Material and Methods</h3> Patients with stage III ovarian cancer who had received adjuvant chemotherapy following cytoreductive primary surgery at our centre from January 2014 to January 2024 were included. Patients treated in the recurrent setting were excluded. Demographic and clinical parameters were collected and a multiple logistic regression analysis was conducted to identify the most significant predictor variables. KELIM was calculated, using a validated formula (https://www.biomarker-kinetics.org/CA-125), based on CA-125 values during each treatment cycle within the first 100 days of chemotherapy. At least three values were required, and the obtained score was considered favourable (KELIM ≥1) or unfavourable (KELIM &lt;1), indicating high or low chemosensitivity, respectively. Kaplan-Meier survival analyses was performed for PFS and OS. <h3>Results</h3> 43 patients were included in the analysis. Mean age was 60 years. 56.1% had a favourable KELIM score. In those patients where BRCA status was available, there was a mutation in 20.7%. 88.5% of patients had an optimal surgical cytoreduction. Bevacizumab was added to chemotherapy in 25% of patients. Median follow-up was 4.98 years. Age, BRCA mutation status and antiangiogenic treatment did not show a statistically significant effect on survival. An unfavourable KELIM score was associated with a non-statistically significant lower estimated median PFS (6.00 vs 7.66 years, p=0.167) and OS (6.37 vs 8.06 years, p=0.126) as compared to a favourable KELIM. <h3>Conclusion and Relevance</h3> Patients with ovarian cancer treated with adjuvant chemotherapy with a calculated KELIM score &lt;1 were more likely to have a lower PFS and lower OS when compared to patients with a KELIM score ≥1. <h3>References and/or Acknowledgements</h3> <h3>Conflict of Interest</h3> No conflict of interest

Hospital Universitario de Getafe (ES)
Zero hunger
Openalex Percentile: Top 93%
Ovarian cancer diagnosis and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.