Re-Thinking Pharmacokinetics in Ovarian Cancer: What Do Organoids Add?
Int J Mol Sci 2026 Apr 10; 27(8).

Abstract

Ovarian cancer (OC) remains one of the leading causes of gynecologic cancer mortality, largely due to late diagnosis, frequent relapse, and the emergence of chemoresistance. An important but often-overlooked contributor to treatment failure is the heterogeneous penetration of anticancer drugs within tumors. Structural and biochemical barriers-including abnormal vasculature, elevated interstitial pressure, dense extracellular matrix, drug efflux transporters, and malignant ascites-generate steep intratumoral concentration gradients that conventional preclinical models fail to capture. As a result, systemic pharmacokinetic measurements frequently provide limited insight into tumor-level drug exposure. Patient-derived organoids (PDOs) have emerged as physiologically relevant 3D models that preserve the genetic, architectural, and functional characteristics of the original tumor. These systems enable controlled investigation of pharmacokinetic and pharmacodynamic processes, including drug penetration, metabolism, retention, and exposure-response relationships. Adding cell-free malignant ascites supernatant enhances PDOs' ability to mimic the metastatic peritoneal microenvironment of OC. This review discusses recent advances in PDO technologies and examines how PDO-derived data can inform intratumoral pharmacokinetics and dosing strategies using physiologically based pharmacokinetic modeling and in vitro-in vivo extrapolation. Emerging hybrid platforms, including organoid-on-chip systems, vascularized co-cultures, and multi-omics integration, are crucial to improve translational prediction and support precision oncology.

Authors+Show Affiliations

Lima AEC0000-0002-0931-1978Applied Molecular Biosciences Unit (UCIBIO), Toxicologic Pathology Research Laboratory, University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (1H-TOXRUN, IUCS-CESPU), 4585-116 Gandra, Portugal. Associate Laboratory of Institute for Health and Bioeconomy (i4HB), University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (IUCS-CESPU), CRL, 4585-116 Gandra, Portugal.
Nunes M0000-0002-4733-5778Applied Molecular Biosciences Unit (UCIBIO), Toxicologic Pathology Research Laboratory, University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (1H-TOXRUN, IUCS-CESPU), 4585-116 Gandra, Portugal. Associate Laboratory of Institute for Health and Bioeconomy (i4HB), University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (IUCS-CESPU), CRL, 4585-116 Gandra, Portugal.
Xavier CPR0000-0002-4613-1917Applied Molecular Biosciences Unit (UCIBIO), Toxicologic Pathology Research Laboratory, University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (1H-TOXRUN, IUCS-CESPU), 4585-116 Gandra, Portugal. Associate Laboratory of Institute for Health and Bioeconomy (i4HB), University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (IUCS-CESPU), CRL, 4585-116 Gandra, Portugal. Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal.
Ricardo S0000-0003-4091-2226Applied Molecular Biosciences Unit (UCIBIO), Toxicologic Pathology Research Laboratory, University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (1H-TOXRUN, IUCS-CESPU), 4585-116 Gandra, Portugal. Associate Laboratory of Institute for Health and Bioeconomy (i4HB), University Institute of Health Sciences, Cooperative for Polytechnic and University Higher Education (IUCS-CESPU), CRL, 4585-116 Gandra, Portugal.

Pub Type(s)

Journal Article
Review

Language

eng

PubMed ID

42074069