Back

RAS mutations drive proliferative chronic myelomonocytic leukemia via activation of a novel KMT2A-PLK1 axis

Carr, R. M.; Vorobyev, D.; Lasho, T.; Marks, D. L.; Tolosa, E. J.; Vedder, A.; Almada, L.; Yurchenko, A.; Padioleau, I.; Alver, B.; Coltro, G.; Binder, M.; Safgren, S. L.; Horn, I.; You, X.; Droin, N.; Solary, E.; Balasis, M. E.; Berger, K.; Pin, C.; Witzig, T.; Buradkar, A.; Graf, T.; Valent, P.; Mangaonkar, A. A.; Robertson, K. D.; Howard, M. T.; Kaufmann, S. H.; Fernandez-Zapico, M. E.; Geissler, K.; Padron, E.; Zhang, J.; Nikolaev, S.; Patnaik, M. M.

2019-12-26 cancer biology
10.1101/2019.12.23.874487 bioRxiv
Show abstract

ABSTRACTChronic myelomonocytic leukemia (CMML) is an aggressive hematological malignancy with limited treatment options. Whole exome (WES) and targeted sequencing of several independent cohorts of CMML patients, comparing dysplastic (dCMML) to proliferative (pCMML) CMML, as well as paired chronic phase disease and acute leukemic transformation (LT), associate acquisition of oncogenic RAS pathway mutations, the most common being NRASG12D, with aggressive disease and with disease progression. Using patient derived progenitor colony assays and a NRASG12D-Vav-Cre mouse model, we further demonstrate the role of mutant RAS signaling in driving and maintaining pCMML phenotype. RNA-sequencing links RAS pathway mutations with an increased expression of genes encoding the mitotic checkpoint kinases PLK1 and WEE1. Further, we dmeoinstrated that non-mutated lysine methyltransferase KMT2A (MLL1) acts as mediator of NRAS-induced PLK1 and WEE1 expression. Finally, we demonstrate the translational value of our findings by showing that pharmacological PLK1 inhibition decreases monocytosis and hepatosplenomegaly while improving hematopoiesis in RAS mutant patient-derived xenografts. Hence, we define severe CMML as oncogenic RAS pathway-enriched malignancies, with a unique gene expression profile regulated by KMT2A, amenable to therapeutic intervention.

Matching journals

The top 4 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.