May 15, 2026
BioRxiv

Identification of non-covalent inhibitors for the atypical peroxiredoxin PRDX5 as a therapeutic strategy in malignant pleural mesothelioma

AI
Biology
Cancer
ML
Research
Abstract

Malignant pleural mesothelioma (MPM) is an aggressive asbestos-linked cancer with limited therapeutic options and a dismal 5-year survival rate of ~5%. While aberrant production of reactive oxygen and nitrogen species (ROS/RNS) is a hallmark of MPM, targeted approaches to exploit these redox vulnerabilities remain scarce.

Here, using the MOSAIC multimodal cancer patient atlas, we identify Peroxiredoxin 5 (PRDX5) as being significantly upregulated in the epithelioid subtype of MPM. We show that MPM cells exhibit enhanced resistance to nitrosative and oxidative stress compared to healthy mesothelial cells, a phenotype correlated with basal PRDX5 expression.

Next, utilising a machine learning guided discovery pipeline, we identified three putative allosteric pockets in PRDX5 and conducted a virtual screen of 3.6 million compounds. High-throughput biochemical validation of 452 candidates yielded 36 non-covalent hits, including sub-micromolar inhibitors.

These findings establish PRDX5 as a novel, subtype specific therapeutic target in MPM and provide a chemical framework for the development of next-generation redox-modulating oncology treatments.

Authors
Floriane Montanari
Victor Laurent
Pierre-Benoit Ancey
Nicolas Jean
Cécilia Jeannu
Guimin Wang
Genshu You
Qiancheng Shen
Alice Mac Kain
Yacine Bareche
Loïc Herpin
Nadia Jeremiah
Roberta Codato
Alberto Romagnoni
Alex Cornish
Ekaterina Rozhavskaya
Lucia Pattarini
Constance Petit
Pierre-Joachim Zindy
Jinal Shukla
Sylvie Gomez
MOSAIC Consortium
Dr. Markus Eckstein
Almoatazbellah Youssef
Ulrich Keilholz
Markus Morkel
Krisztian Homicsko
Chiara Saglietti
Leilei Shi
ian Zhang
Elodie Pronier
Josep Monserrat