ArticleClinical Medicine Insights. Oncology2019
Tumor Size and Overall Survival in Patients With Platinum-Resistant Ovarian Cancer Treated With Chemotherapy and Bevacizumab.
Article in Clinical Medicine Insights. Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 21 citations in OpenAlex.
- Early predictions of response and survival from a tumor dynamics model in patients with recurrent, metastatic head and neck squamous cell carcinoma treated with immunotherapy.CPT: pharmacometrics & systems pharmacology · 2021Trial
- Anti-angiogenic therapy in ovarian cancer: Current understandings and prospects of precision medicine.Frontiers in pharmacology · 2023Review
- Surgery in platinum-resistant recurrent epithelial ovarian carcinoma.World journal of clinical cases · 2022Article
- Current Ovarian Cancer Maintenance Strategies and Promising New Developments.Journal of Cancer · 2021Review
- Expression of PAWR predicts prognosis of ovarian cancer.Cancer cell international · 2020Article
- Bevacizumab Combined with Chemotherapy in Platinum-Resistant Ovarian Cancer: Beyond the AURELIA Trial.Translational cancer research · 2020Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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Abstract
introductionOvarian cancer is now recognized as a constellation of distinct subtypes of neoplasia involving the ovary and related structures. As a consequence of this heterogeneity, the analysis of covariates influencing the overall survival is crucial in this disease segment. In this work, an overall survival model incorporating tumor kinetics metrics in patients with platinum-resistant ovarian cancer was developed from the randomized, open label, phase 3 AURELIA trial.
methodsTumor size data from 361 patients randomly allocated to the bevacizumab + chemotherapy or chemotherapy study arm were collected at baseline and every 8 to 9 weeks until disease progression. Patients continued to be followed for survival after treatment discontinuation. A landmarked Cox proportional hazard survival model was developed to characterize the overall survival distribution.
resultsTwo sets of factors were found to be influential on survival time: those describing the type and severity of disease (Eastern Cooperative Oncology Group [ECOG], Féderation Internationale de Gynécologie et d'Obstétrique [FIGO] stages, presence of ascites) and those summarizing the key features of the tumor kinetic model (tumor shrinkage at week 8 and tumor size at treatment onset). The treatment group was not required in the final model as the drug effect was accounted for in the tumor kinetics model.
conclusionsThis work has identified both ascites and tumor kinetics metrics as being the 2 most influential factors to explain variability in overall survival in patients with platinum-resistant ovarian cancer.
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