Small-Molecule Targeting of Musashi RNA-Binding Activity in Acute Myeloid Leukemia
Bibliographic record
Abstract
Abstract RNA-binding proteins (RBPs) play critical roles in cell homeostasis by controlling gene expression post-transcriptionally, contributing to mRNA processing events (splicing, polyadenylation, localization, stability, export and translation). The involvement of RBPs to tumorigenesis, through genetic perturbation or epigenetic dysregulation, has been found in a variety of human cancers. The RBP MUSASHI-2 (MSI2) contributes to the pathogenesis of a spectrum of solid tumors and hematologic malignancies and predicts a worse clinical outcome in patients with myeloid and acute lymphoblastic leukemia (MDS, AML and ALL). Thus, MSI2 has been proposed as a putative biomarker for diagnosis as well as a potential therapeutic target for AML. However, there are currently no specific inhibitors for MSI. Previous work from our lab reported a Fluorescent Polarization (FP) screen with 6,208 compounds identifying small-molecules with MSI RNA-binding inhibition activity. Here, we characterize Ro 08-2750 (Ro), best FP screen hit, as a MSI RNA-competitive inhibitor. Electrophoresis Mobility Shift Assays (EMSA) demonstrated Ro inhibition of MSI2-RNA complexes formation. MicroScale Thermophoresis (MST) interaction studies showed that the compound interacts with MSI2 full-length and RNA-Recognition Motif 1 (RRM1) with μM affinity and with nearly 20-fold lower KD to an RBP control (SYNCRIP). We obtained the crystal structure of MSI2 RRM1 at 1.7Å and docking and mutagenesis validation confirmed K22, F66, F97 and R100 as crucial binding residues in the RNA-binding pocket. To further prove structure activity relationship, we used two chemical analogs: Ro-OH, an alcohol derivative of the Ro's aldehyde, showed 10-fold reduced activity and Ro-NGF, containing the Ro isoalloxazine scaffold, showed no binding or activity in vitro. Of note, in proliferation assays Ro EC50 was 2.6±0.1 μM in MLL-AF9 bone marrow cells and an average of 8.4±1.1 μM in MOLM13 and K562 human AML cells, whereas RoOH and RoNGF showed 10-fold or >50 μM EC50, respectively. Ro significantly reduced binding of MSI2 to its mRNA targets (such as cMYC, CDKN1A or SMAD3) in an RNA-IP and a direct effect in their protein translation in human leukemia cells. RNA-sequencing of 4h Ro treated MOLM13 and K562 AML cells resulted in gene expression changes that enriched for the gene expression profiling after shRNA mediated depletion of MSI2 in CML-BC and AML cell lines. Ro demonstrated a significant therapeutic index abolishing MLL-AF9+ BM colony formation at concentrations that did not affect the plating efficiency of normal Lin-Sca+cKit+ (LSK) cells. Similarly, Ro demonstrated differential sensitivity in three AML patient samples colony formation compared to normal human CD34+ cord blood cells. Finally, we sought to determine Ro in vivo activity by using an aggressive murine MLL-AF9 murine leukemia model. Acute treatment (4h and 12hr) with 13.75 mg/kg Ro in DMSO reduced c-KIT protein abundance and intracellular c-MYC. Administration of the same Ro dose every 3 days was well tolerated and showed a significant reduction in spleen weights, white blood cell counts and c-MYC levels compared to the controls. These data provide the feasibility that targeting MSI in vivo could have therapeutic efficacy in AML. This study identifies and characterizes Ro 08-2750 as a compound selectively inhibiting the oncogenic RNA-binding activity of MSI in myeloid leukemia. Ro targeting an RRM motif to block RNA activity represents a valuable proof of concept for the general inhibition of these class of RNA regulators. Overall, we provide a framework to identify and test novel RBP inhibitors thus validating this class of proteins as chemically "druggable" novel therapeutic targets in cancer. Disclosures Chodera: Schrödinger: Consultancy, Membership on an entity's Board of Directors or advisory committees.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".