A predictive and prognostic model for surgical outcome and prognosis in ovarian cancer computed by clinico-pathological and serological parameters (CA125, HE4, mesothelin).

Autor:	Klotz DM; Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; National Center for Tumour Diseases (NCT), Dresden, Germany.; German Cancer Research Center (DKFZ), Heidelberg, Germany.; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.; German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany., Link T; Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; National Center for Tumour Diseases (NCT), Dresden, Germany.; German Cancer Research Center (DKFZ), Heidelberg, Germany.; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.; German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany., Wimberger P; Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; National Center for Tumour Diseases (NCT), Dresden, Germany.; German Cancer Research Center (DKFZ), Heidelberg, Germany.; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.; German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany., Kuhlmann JD; Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; National Center for Tumour Diseases (NCT), Dresden, Germany.; German Cancer Research Center (DKFZ), Heidelberg, Germany.; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.; German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jazyk:	angličtina
Zdroj:	Clinical chemistry and laboratory medicine [Clin Chem Lab Med] 2023 Oct 11; Vol. 62 (3), pp. 530-539. Date of Electronic Publication: 2023 Oct 11 (Print Publication: 2024).
DOI:	10.1515/cclm-2023-0314
Abstrakt:	Objectives: Numerous prognostic models have been proposed for ovarian cancer, extending from single serological factors to complex gene-expression signatures. Nonetheless, these models have not been routinely translated into clinical practice. We constructed a robust and readily calculable model for predicting surgical outcome and prognosis of ovarian cancer patients by exploiting commonly available clinico-pathological factors and three selected serum parameters. Methods: Serum CA125, human epididymis protein 4 (HE4) and mesothelin (MSL) were quantified by Lumipulse ® G chemiluminescent enzyme immunoassay (Fujirebio) in a total of 342 serum samples from 190 ovarian cancer patients, including 152 paired pre- and post-operative samples. Results: Detection of pre-operative HE4 and CA125 was the optimal marker combination for blood-based prediction of surgical outcome (AUC=0.86). We constructed a prognostic model, computed by serum levels of pre-operative CA125, post-operative HE4, post-operative MSL and surgical outcome. Prognostic performance of our model was superior to any of these parameters alone and was independent from BRCA1/2 mutational status. We subsequently transformed our model into a prognostic risk index, stratifying patients as "lower risk" or "higher risk". In "higher risk" patients, relapse or death was predicted with an AUC of 0.89 and they had a significantly shorter progression free survival (HR: 9.74; 95 % CI: 5.95-15.93; p<0.0001) and overall survival (HR: 5.62; 95 % CI: 3.16-9.99; p<0.0001) compared to "lower risk" patients. Conclusions: We present a robust predictive/prognostic model for ovarian cancer, which could readily be implemented into routine diagnostics in order to identify ovarian cancer patients at high risk of recurrence. (© 2023 Walter de Gruyter GmbH, Berlin/Boston.)
Databáze:	MEDLINE
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