ArticleJournal of biomedical optics2013
Impact of treatment response metrics on photodynamic therapy planning and outcomes in a three-dimensional model of ovarian cancer.
Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Benchmarking Ultra-Low Attachment and Photopatterned GelMA 3D Culture Platforms for Modeling Cancer Stemness in High-Grade Serous Ovarian Cancer.Biotechnology journal · 2026Article
- Development and characterization of a combined fluorescence and spatial frequency domain imaging system for real-time dosimetry of photodynamic therapy.Journal of biomedical optics · 2025Article
- Comparative Study of Spheroids (3D) and Monolayer Cultures (2D) for the In Vitro Assessment of Cytotoxicity Induced by the Mycotoxins Sterigmatocystin, Ochratoxin A and Patulin.Foods (Basel, Switzerland) · 2024Article
- Applications of nanomaterials in endometriosis treatment.Frontiers in bioengineering and biotechnology · 2023Review
- Photoacoustic nanodroplets for oxygen enhanced photodynamic therapy of cancer.Photoacoustics · 2022Article
- Generating Large Numbers of Pancreatic Microtumors on Alginate-Gelatin Hydrogels for Quantitative Imaging of Tumor Growth and Photodynamic Therapy Optimization.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Analysis of Treatment Effects on Structurally Complex Microtumor Cultures Using a Comprehensive Image Analysis Procedure.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Review
- Photodestruction of Stromal Fibroblasts Enhances Tumor Response to PDT in 3D Pancreatic Cancer Coculture Models.Photochemistry and photobiology · 2021Article
- Morphological Response in Cancer Spheroids for Screening Photodynamic Therapy Parameters.Frontiers in molecular biosciences · 2021Article
- Nanoparticle-Based Platform for Activatable Fluorescence Imaging and Photothermal Ablation of Endometriosis.Small (Weinheim an der Bergstrasse, Germany) · 2020Article
- Flow-induced Shear Stress Confers Resistance to Carboplatin in an Adherent Three-Dimensional Model for Ovarian Cancer: A Role for EGFR-Targeted Photoimmunotherapy Informed by Physical Stress.Journal of clinical medicine · 2020Article
- Modulation of Extracellular Matrix Rigidity Via Riboflavin-mediated Photocrosslinking Regulates Invasive Motility and Treatment Response in a 3D Pancreatic Tumor Model.Photochemistry and photobiology · 2020Article
- Cancer Cell-targeted and Activatable Photoimmunotherapy Spares T Cells in a 3D Coculture Model.Photochemistry and photobiology · 2020Article
- Transarterial Delivery of a Biodegradable Single-Agent Theranostic Nanoprobe for Liver Tumor Imaging and Combinatorial Phototherapy.Journal of vascular and interventional radiology : JVIR · 2019Article
- Photodynamic Therapy in a 3D Model of Ovarian Cancer.Bio-protocol · 2019Article
- A Combination of Visudyne and a Lipid-anchored Liposomal Formulation of Benzoporphyrin Derivative Enhances Photodynamic Therapy Efficacy in a 3D Model for Ovarian Cancer.Photochemistry and photobiology · 2019Article
- Neoadjuvant photodynamic therapy augments immediate and prolonged oxaliplatin efficacy in metastatic pancreatic cancer organoids.Oncotarget · 2018Article
- ECM Composition and Rheology Regulate Growth, Motility, and Response to Photodynamic Therapy in 3D Models of Pancreatic Ductal Adenocarcinoma.Molecular cancer research : MCR · 2017Article
- Revisiting photodynamic therapy dosimetry: reductionist & surrogate approaches to facilitate clinical success.Physics in medicine and biology · 2016Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Common methods to characterize treatment efficacy based on morphological imaging may misrepresent outcomes and exclude effective therapies. Using a three-dimensional model of ovarian cancer, two functional treatment response metrics are used to evaluate photodynamic therapy (PDT) efficacy: total volume, calculated from viable and nonviable cells, and live volume, calculated from viable cells. The utility of these volume-based metrics is corroborated using independent reporters of photodynamic activity: viability, a common fluorescence-based ratiometric analysis, and photosensitizer photobleaching, which is characterized by a loss of fluorescence due in part to the production of reactive species during PDT. Live volume correlated with both photobleaching and viability, suggesting that it was a better reporter of PDT efficacy than total volume, which did not correlate with either metric. Based on these findings, live volume and viability are used to probe the susceptibilities of tumor populations to a range of PDT dose parameters administered using 0.25, 1, and 10 μM benzoporphyrin derivative (BPD). PDT with 0.25 μM BPD produces the most significant reduction in live volume and viability and mediates a substantial shift toward small nodules. Increasingly sophisticated bioengineered models may complement current treatment planning approaches and provide unique opportunities to critically evaluate key parameters including metrics of therapeutic response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.