ArticleInternational journal of molecular sciences2021
Fluorescence Liquid Biopsy for Cancer Detection Is Improved by Using Cationic Dendronized Hyperbranched Polymer.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Serum-Based Detection of Pancreatic and Ovarian Cancer via a Nanoparticle-Enhanced Fluorescence Array and Machine Learning.Analytical chemistry · 2025Article
- Liquid biopsy in gynecological cancers: a translational framework from molecular insights to precision oncology and clinical practice.Journal of experimental & clinical cancer research : CR · 2025Review
- Effective strategies to enhance the diagnosis and treatment of RCC: The application of biocompatible materials.Materials today. Bio · 2024Review
- Article
- Design of Polymeric Surfaces as Platforms for Streamlined Cancer Diagnostics in Liquid Biopsies.Biosensors · 2023Review
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
(1) Background: Biophysical techniques applied to serum samples characterization could promote the development of new diagnostic tools. Fluorescence spectroscopy has been previously applied to biological samples from cancer patients and differences from healthy individuals were observed. Dendronized hyperbranched polymers (DHP) based on bis(hydroxymethyl)propionic acid (bis-MPA) were developed in our group and their potential biomedical applications explored. (2) Methods: A total of 94 serum samples from diagnosed cancer patients and healthy individuals were studied (20 pancreatic ductal adenocarcinoma, 25 blood donor, 24 ovarian cancer, and 25 benign ovarian cyst samples). (3) Results: Fluorescence spectra of serum samples (fluorescence liquid biopsy, FLB) in the presence and the absence of DHP-bMPA were recorded and two parameters from the signal curves obtained. A secondary parameter, the fluorescence spectrum score (FS
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