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1245 Association of KELIM score and Böhm’s chemotherapy response score with disease-free survival in patients with advanced ovarian cancer
  1. Marina Rosanu1,
  2. Luigi Antonio De Vitis1,
  3. Gabriella Schivardi1,
  4. Elena Vittoria Casciani1,
  5. Benedetta Zambetti1,
  6. Livia Xhindoli1,
  7. Ilaria Betella1,
  8. Simone Bruni1,
  9. Giovanni Damiano Aletti1,2,
  10. Angelo Maggioni1,
  11. Vanna Zanagnolo1,
  12. Nicoletta Colombo1,3 and
  13. Francesco Multinu1
  1. 1Department of Gynecology, European Institute of Oncology, IEO, IRCCS, Milan, Italy
  2. 2Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
  3. 3Medical Gynecologic Oncology Unit, University of Milan Bicocca, Milan, Italy


Introduction/Background KELIM (CA-125 elimination rate constant K) and Böhm’s chemotherapy response score (CRS) have recently been proposed for the assessment of response to neoadjuvant chemotherapy (NACT) in advanced ovarian cancer (OC). In fact, these two scoring systems could be used to guide clinicians in selecting the appropriate maintenance therapy in the first-line setting by measuring the biomarker’s dynamic and histologic regression, respectively. Our primary aim is to investigate the association between KELIM and Böhm’s score with disease-free survival (DFS).

Methodology This retrospective cohort study includes patients with FIGO stage IIIC-IV high-grade serous OC who underwent interval debulking surgery (IDS) at the European Institute of Oncology between 03.2018–03.2023, and for which both KELIM and Böhm’s scores were available. KELIM score can be calculated when at least three CA125 values are measured within the first 100 days from the start of NACT, categorizing patients as either unfavorable(<1.0) or favorable(≥1.0). CRS score categorizes patients into 3 groups: CRS1(no or minimal regression), CRS2(partial), or CRS3(complete or near complete). DFS was estimated using Kaplan-Meier methods and differences tested using Log-Rank test. Cox proportional-hazard models were built to evaluate the association between covariates and survival.

Results In total, 60 patients meeting inclusion criteria were identified, 41(68.3%) with unfavorable and 19(31.7%) favorable KELIM, while 25(41.7%) were CRS1, 27(45.0%) CRS2, and 8(13.3%) CRS3. All 4(100%) platinum-resistant patients had unfavorable KELIM. Favorable KELIM showed a longer DFS than unfavorable KELIM [median DFS 26.7 vs. 13.7 months; p=0.003] (Figure 1). At univariable analysis, age, residual tumor, Böhm’s and KELIM scores were associated with DFS. In the multivariable model, age at diagnosis, Böhm and KELIM remained independent predictors of DFS (Table 1).

Abstract 1245 Table 1

Patients‘ baseline characteristics (abbreviations: CRS, chemotherapy response score; KELIM, CA-125 elimination rate constant k; DFS, disease free survival)

Abstract 1245 Figure 1

Kaplan-Meier curve of disease free survival (DFS) stratified by KELIM score Median time of follow-up for patients without recurrence = 12 months [IQR 8–25]

Conclusion These results confirm the independent association of both KELIM and Böhm with DFS in patients with advanced OC undergoing NACT followed by IDS, further supporting their role in selecting a personalized maintenance therapy.

Disclosures No disclosures.

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