Publications by authors named "J Fernebro"

Article Synopsis
  • Maintenance therapies like PARP inhibitors and bevacizumab have improved outcomes for advanced ovarian cancer patients, prompting a study to explore treatment variability across Europe.
  • A Delphi study was conducted with experts to understand maintenance treatment strategies and gauge consensus on best practices.
  • Key factors influencing treatment choices include tumor mutation status and perceived risk of disease progression, with high-risk cases defined by advanced FIGO stages or residual disease after initial treatment.
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The treatment landscape of solid tumors has changed markedly in the last years. Molecularly targeted treatments and immunotherapies have been implemented and have, in many cancers, lowered the risk of relapse and prolonged survival. Patients with tumors harboring specific targetable molecular alterations or mutations are often of a younger age, and hence future fertility and family building can be important concerns in this group.

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Most patients with advanced ovarian cancer (OC) relapse and progress despite systemic therapy, pointing to the need for improved and tailored therapy options. Functional precision medicine can help to identify effective therapies for individual patients in a clinically relevant timeframe. Here, we present a scalable functional precision medicine platform: DET3Ct (Drug Efficacy Testing in 3D Cultures), where the response of patient cells to drugs and drug combinations are quantified with live-cell imaging.

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Introduction: Mesothelin (MSLN) is overexpressed in several tumors including ovarian cancer and is the target of current trials. There is limited and conflicting data on MSLN prognostic impact in ovarian cancer.

Methods: We performed a retrospective study on patients with high-grade serous ovarian cancer, analyzing MSLN expression by immunohistochemistry and examining the correlation of its expression to overall and progression-free survival.

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Objective: Pre-clinical studies have identified marker- and tumor compartment-defined functionally distinct macrophage subsets. Our study analyzes marker-defined macrophage subsets in different tumor compartments of high-grade serous ovarian cancer (HGSC).

Methods: A discovery cohort (N = 113) was subjected to immunohistochemistry (IHC) analyses.

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