AI Article Synopsis

  • The study analyzed long-term disease-free survival (LDF) rates in ovarian cancer patients after first-line treatment, revealing that only 4% achieved LDF for over 5 years.
  • Researchers investigated data from multiple trial datasets and the Netherlands Cancer Registry to understand how factors like tumor response to chemotherapy (KELIM), disease stage, and surgical outcomes affected LDF.
  • Results indicated that disease stage and KELIM were significant independent predictors of LDF, highlighting lower than expected survival rates, which could inform future research on new treatments like PARP inhibitors.

Article Abstract

Background: In ovarian carcinomas, the likelihood of disease cure following first-line medical-surgical treatment has been poorly addressed. The objective was to: (a) assess the likelihood of long-term disease-free (LDF) > 5 years; and (b) evaluate the impact of the tumour primary chemosensitivity (assessed with the modelled CA-125 KELIM) with respect to disease stage, and completeness of debulking surgery.

Methods: Three Phase III trial datasets (AGO-OVAR 9; AGO-OVAR 7; ICON-7) were retrospectively investigated in an "adjuvant dataset", whilst the Netherlands Cancer Registry was used in a "neoadjuvant dataset". The prognostic values of KELIM, disease stage and surgery outcomes regarding the likelihood of LDF were assessed using univariate/multivariate analyses.

Results: Of 2029 patients in the "adjuvant dataset", 82 (4.0%) experienced LDF (Stage I-II: 25.9%; III: 2.1%; IV: 0.5%). Multivariate analyses identified disease stage and KELIM (OR = 4.24) as independent prognostic factors. Among the 1452 patients from the "neoadjuvant dataset", 36 (2.4%) had LDF (Stage II-III: 3.3%; IV: 1.3%). Using multivariate tests, high-risk diseases (OR = 0.18) and KELIM (OR = 2.96) were significant.

Conclusion: The probability of LDF > 5 years after first-line treatment in 3486 patients (<4%) was lower than thought. These data could represent a reference for future studies meant to assess progress related to PARP inhibitors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276767PMC
http://dx.doi.org/10.1038/s41416-022-01732-7DOI Listing

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