Back

Activating RET Mutations Promotes Osteoblastic Bone Metastases in Medullary Thyroid Cancer

Yarmand, R. B.; Pagnotti, G. M.; Kidd, J. L.; Ramirez, D. A.; Trivedi, T.; Guerra, L.; Wang, Z.; Cruz, L. M.; Moehle, J. M.; Jebaraj, Y. S.; Wan, X.; Song, J. H.; Bassett, R.; Lin, S.-H.; Hu, M. I.; Sherman, S. I.; Hofmann, M.-C.; Guise, T.

2025-07-14 cancer biology
10.1101/2025.07.09.663851 bioRxiv
Show abstract

Development of bone metastases increases mortality in patients with medullary thyroid cancer (MTC), with [~]50% survival at 5 years after diagnosis, but the underlying mechanisms are unknown. We show that patient-derived MTC cells (RETC634W mutant TT cells and RETM918T mutant MZCRC1 cells) promote an osteoblastic phenotype due to reduced bone resorption. Mechanistically, activated RET increases the expression of osteoprotegerin (OPG), an inhibitor of bone resorption, leading to decreased osteoclast differentiation. Furthermore, RET knockdown or pharmacological RET inhibition attenuates tumor burden and osteoblastic lesions in MTC-bearing femurs. Circulating levels of OPG were increased in the plasma of MTC patients who developed bone metastases and this was associated with poor overall survival. Patients who were treated with multi-kinase inhibitors have lower circulating levels of OPG. These novel findings identify a link between the RET signaling pathway and abnormal osteoblastic bone formation and suggest OPG as a potential biomarker of MTC bone metastases. HighlightsO_LIPatient-derived MTC cells promote osteoblastic lesions in a mouse model. C_LIO_LIActivating the RET mutation promotes osteoprotegerin. C_LIO_LIBlocking RET kinase activity inhibits tumor growth and the osteoblastic lesion phenotype. C_LIO_LIHigh levels of circulating osteoprotegerin are associated with poor overall survival. C_LI

Matching journals

The top 5 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.