Back

Selenocysteine metabolism is a targetable vulnerability in MYCN-amplified cancers

Alborzy, H.; Chen, Z.; Yildiz, U.; Porto- Freitas, F.; Vogel, F. C. E.; Varga, J.; Batani, J.; Bartenhagen, C.; Schmitz, W.; Buechel, G.; Michalke, B.; Zheng, J.; Meierjohann, S.; Girardi, E.; Espinet, E.; Florez, A.; dos Santos, A. F.; Aroua, N.; Schlicker, L.; Xavier da Silva, T. N.; Przybylla, A.; Zeisberger, P.; Superti-Furga, G.; Eilers, M.; Conrad, M.; Fischer, M.; Schulze, A.; Trumpp, A.; Friedmann Angeli, J. P.

2022-05-18 cancer biology
10.1101/2022.05.17.492172 bioRxiv
Show abstract

Understanding the operational molecular, and metabolic networks that determine the balance between pro- and anti-ferroptotic regulatory pathways could unravel unique vulnerabilities to be exploited for cancer therapy. Here we identify the selenoprotein P (SELENOP) receptor, LRP8, as a key determinant protecting MYCN-amplified neuroblastoma cells from ferroptosis in vitro and in orthotopic neuroblastoma mouse models. Specifically, the exquisite dependency on LRP8-mediated selenocysteine import is caused by the failure of MYCN-amplified cells to efficiently utilize alternative forms of selenium/selenocysteine based uptake necessary for selenoprotein biosynthesis. Increased activity of one of such transporters, SLC7A11, in MYCN-amplified cells leads to cysteine overload, progressive mitochondrial decline and impaired proliferation. These data reveal in LRP8 a targetable, and specific vulnerability of MYCN-amplified neuroblastoma cells and disclose a yet-unaccounted mechanism for selective ferroptosis induction that has the potential to become an important therapeutic entry point for MYCN-amplified neuroblastoma. Statement of significanceGiven the largely unsuccessful repurposing of adult oncology drugs for the treatment of neuroblastoma, our discoveries pave the way for novel ferroptosis based strategies for this entity. Specifically, targeting of LRP8 may offer novel therapeutic and safer opportunities for a number of pediatric malignancies and MYCN driven cancers.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.