A1 Refereed original research article in a scientific journal

Phage Biosensor for the Classification of Metastatic Urological Cancers from Urine




AuthorsJuusti, Vilhelmiina; Rannikko, Antti; Laurila, Anu; Sundvall, Maria; Hänninen, Pekka; Kulpakko, Janne

PublisherMDPI

Publication year2024

JournalLife

Journal name in sourceLife

Article number600

Volume14

Issue5

ISSN2075-1729

eISSN2075-1729

DOIhttps://doi.org/10.3390/life14050600

Web address https://www.mdpi.com/2075-1729/14/5/600

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/404623606


Abstract
Most of the annual 10 million cancer-related deaths are caused by metastatic disease. Survival rates for cancer are strongly dependent on the type of cancer and its stage at detection. Early detection remains a challenge due to the lack of reliable biomarkers and cost-efficient screening methods. Phage biosensors can offer a solution for early detection using non-invasive liquid biopsies. Here, we report the first results of the bifunctional phage biosensor to detect metastatic urological cancers from urine. A dye-sensitized phage library was used to select metastasis-related phage binders. After selection rounds, the most promising phage candidate was used to classify metastatic cancer from controls. Additionally, we applied one chemical sensor (phenoxazine non-fluorescent dye) to classify cancer from urine. A statistical significance (p = 0.0002) was observed between metastatic and non-metastatic cancer, with sensitivity of 70% and specificity of 79%. Furthermore, the chemical sensor demonstrated significance in detecting cancer (p < 0.0001) with a sensitivity of 71% and a specificity of 75%. Our data suggest a new promising field for urine biomarker research, and further evaluation with prospectively collected samples is ongoing. In conclusion, we report, for the first time, the potential of a chemical- and phage-based biosensor method to detect metastatic cancer using urine.

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Funding information in the publication
This research was funded by Aqsens Health Ltd. (Turku, Finland).


Last updated on 2025-11-02 at 14:24