Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Prognostic and predictive significance of CA-125 elimination rate constant K (KELIM) in ovarian cancer patients treated with neoadjuvant chemotherapy in a real-world setting.

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2023

Prognostic and predictive significance of CA-125 elimination rate constant K (KELIM) in ovarian cancer patients treated with neoadjuvant chemotherapy in a real-world setting.

0 Datasets

0 Files

en
2023
Vol 41 (16_suppl)
Vol. 41
DOI: 10.1200/jco.2023.41.16_suppl.e17594

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Meletios A Dimopoulos
Meletios A Dimopoulos

Institution not specified

Verified
Michalis Liontos
Alkistis Papatheodoridi
Elena Kunadis
+17 more

Abstract

e17594 Background: CA-125 ELIMination Rate Constant K (KELIM) is considered a marker of chemosensitivity in ovarian cancer patients and its prognostic and predictive significance in Neo-adjuvant Chemotherapy (NACT) treated patients has been established through prospective trials. Limited data exist regarding the feasibility of its application in the real-world setting. Under this perspective, we undertook a retrospective study of the predictive and prognostic significance of KELIM in ovarian cancer patients treated with NACT in our institution. Methods: Medical records of women with aEOC treated with NACT at Alexandra Hospital from 2010 to 2019 were retrospectively identified. Clinicopathological data, treatment and survival data were analysed. Modeled CA-125 KELIM score was calculated from the available online tool ( https://www.biomarker-kinetics.org/CA-125-neo ). Kaplan-Meier Survival curves were generated using SPSS; survival differences were estimated using the long-rank test. Results: 99 patients treated with 3-4 cycles of NACT with Paclitaxel and Carboplatin with available at least three CA125 measurements within 100 days from the beginning of chemotherapy were included. Median age was 66.6 years (25 th -75 th percentile was 59.8 and 74.5 years respectively) and median numbers of CA125 measurements were 3. KELIM score < 1 (unfavorable) had 56 patients (56.6%) while score ≥1 had 43 patients (43.4%). All patients had high grade serous histology and 72 patients were treated with debulking surgery (72.8%). BRCA1/2 mutation status was known in 66 patients, among them 18 patients (27.3%) were positive for the presence of BRCA1/2 mutations. Favorable KELIM score was predictive of both increased PFS [mPFS 16.6 months (95% CI 12.6-20.5) in favorable group vs 11.9 months (95% CI 10.6-13.4) in unfavorable, p < 0.001] and OS [mOS 44.7 months (95% CI 40.2-49.1) in favorable group vs 27.2 months (95% CI 18.5-35.9) in unfavorable, p = 0.013]. Predictive and prognostic significance of KELIM was retained in multivariate analysis when other prognostic parameters as age, ECOG-PS, quality of debulking surgery were taken into account. Bevacizumab administration post NACT increased statistical significantly both PFS and OS only in patients with unfavorable KELIM score. There was no statistical correlation between favorable KELIM score and presence of BRCA1/2 mutations, however our analysis is limited by the small number of patients. Conclusions: KELIM score can be easily applied in common clinical practice of ovarian cancer patients treated with NACT and provide valuable prognostic and predictive information. Despite in our analysis no correlation with presence of BRCA1/2 mutations was found further investigation is warranted, since PARP inhibitors constitute the established maintenance treatment in the frontline setting.

How to cite this publication

Michalis Liontos, Alkistis Papatheodoridi, Elena Kunadis, Anna Svarna, Charalampos Theofanakis, Oraianthi Fiste, Angeliki Rouvali, Kalliroi Goula, Christos Markellos, Angeliki Andrikopoulou, Eirini Potiri, Αριστέα-Μαρία Παπανώτα, Maria Kaparelou, Konstantinos Koutsoukos, Nikolaos Thomakos, Dimitrios Haidopoulos, Alexandros Rodolakis, Flora Zagouri, Benoît You, Meletios A Dimopoulos (2023). Prognostic and predictive significance of CA-125 elimination rate constant K (KELIM) in ovarian cancer patients treated with neoadjuvant chemotherapy in a real-world setting.. , 41(16_suppl), DOI: https://doi.org/10.1200/jco.2023.41.16_suppl.e17594.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2023

Authors

20

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1200/jco.2023.41.16_suppl.e17594

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access