Key points are not available for this paper at this time.
Abstract Targeting ferroptosis, an iron-dependent form of regulated cell death triggered by the lethal overload of lipid peroxides, in cancer therapy is impeded by our limited understanding of the intersection of tumour’s metabolic feature and ferroptosis vulnerability. In the present study, arginine is identified as a ferroptotic promoter using a metabolites library. This effect is mainly achieved through arginine’s conversion to polyamines, which exerts their potent ferroptosis-promoting property in an H 2 O 2 -dependent manner. Notably, the expression of ornithine decarboxylase 1 (ODC1), the critical enzyme catalysing polyamine synthesis, is significantly activated by the ferroptosis signal——iron overload——through WNT/MYC signalling, as well as the subsequent elevated polyamine synthesis, thus forming a ferroptosis-iron overload-WNT/MYC-ODC1-polyamine-H 2 O 2 positive feedback loop that amplifies ferroptosis. Meanwhile, we notice that ferroptotic cells release enhanced polyamine-containing extracellular vesicles into the microenvironment, thereby further sensitizing neighbouring cells to ferroptosis and accelerating the “spread” of ferroptosis in the tumour region. Besides, polyamine supplementation also sensitizes cancer cells or xenograft tumours to radiotherapy or chemotherapy through inducing ferroptosis. Considering that cancer cells are often characterized by elevated intracellular polyamine pools, our results indicate that polyamine metabolism exposes a targetable vulnerability to ferroptosis and represents an exciting opportunity for therapeutic strategies for cancer.
Building similarity graph...
Analyzing shared references across papers
Loading...
Guoshu Bi
Sun Yat-sen University
Jiaqi Liang
Chinese Academy of Medical Sciences & Peking Union Medical College
Yunyi Bian
Northwestern Polytechnical University
Nature Communications
The University of Texas MD Anderson Cancer Center
Fudan University
Sun Yat-sen University
Building similarity graph...
Analyzing shared references across papers
Loading...
Bi et al. (Tue,) studied this question.
synapsesocial.com/papers/68e734edb6db6435876ae286 — DOI: https://doi.org/10.1038/s41467-024-46776-w