Lenalidomide Induces A Ribosomal Stress Response In Multiple Myeloma (MM) Cells
Bibliographic record
Abstract
Abstract Background Deregulation of ribosome biogenesis is associated with carcinogenesis and in MM two of the most common recurrent mutations (DIS3 and FAM46C) are implicated in ribosomal decay and translational control. Beside its role in the regulation of protein synthesis, the importance of ribosome biogenesis is underscored by the observation that the impairment of this process leads to a ribosomal stress response with induction of p53, inhibition of c-Myc and cell cycle arrest. These effects are mediated by the direct binding of ribosomal proteins (RPs), particularly RPL11 and RPL5 to Mdm2 and c-Myc. Immunomodulatory drugs (IMiDs) anti-MM effects require their binding to Cereblon (CRBN), an adaptor protein of the Cul4A-DDB1-ROC1 ubiquitin E3 ligase complex with an ensuing down-regulation of c-Myc and up-regulation of p21. In the present study, we delineated the mechanisms through which IMiDs mediate these effects in MM cells. Methods and Results In order to identify ubiquitylated substrates that are modified by lenalidomide (Len) treatment, we performed a ubiquitin-proteome pull-down using Tandem Ubiquitin Binding Entity (Lifesensors) coupled with quantitative mass-spectroscopy proteomics (iTRAQ) in OPM2 cells exposed to Len (10 μM). Several ribosomal proteins (RPs) - S25, S26, S20 & S28 - were increased in Len treated samples suggesting that the Cul4a-CRBN complex may regulate RPs stability and hence IMiDs binding to cereblon may trigger a ribosomal stress response. Immunoblot analysis of MM cells exposed to Len lead to a rapid decrease in c-Myc expression (within 30 min) that significantly preceded the downregulation of IRF4 consistent with an IRF4-independent mechanism for c-Myc down-regulation. Furthermore, Len treatment transiently stabilised and subsequently down-regulated MDM2 expression with up-regulation of p53 and its down-stream targets (p21, PUMA). Under ribosomal stress conditions, polysome-free RPs are released into the nucleoplasm where they bind Mdm2 and suppress its E3 ligase activity. Consistent with this effect, in Len treated cells MDM2 co-immunoprecipitated with RPL11 and RPL5 with p53 protein stabilization (no change in p53 mRNA). In addition, an increase in the interaction between RPL11 and c-Myc was also observed consistent with the reported role for RPL11 in the post-transcriptional regulation and suppression of c-Myc. Furthermore, treatment with Lenalidomide supressed ribosomal RNA (rRNA) transcription with inhibition of pre-rRNA (47S) processing. The examination of polysome fractions (sucrose gradients) in Len treated MM cells (OPM2 and MM1S) revealed a striking reduction of 60S and 80S as well as polysomes fractions, an effect similar to that Actinomycin D (5 nM), a known RNA PolI inhibitor and potent ribosome stress inducer. Furthermore Len treatment significant reduced RPL11 within the 60S and 80S ribosome fractions. Of note, CRBN knockdown abrogated all these effects suggesting that Len binding to CRBN is upstream of this ribosome stress response. In order to investigate whether the down-regulation of c-Myc is the primary event leading to the disruption of ribogenesis, we transiently and stably silenced RPL11 in MM cells. RPL11 silencing nearly fully protected MM cells from the effects of Len and importantly it completely reversed Len-induced Mdm2 E3 ligase inhibition with up-regulation of p53, p21 and suppression of c-Myc and IRF4. Conclusion Taken together our data indicate that treatment with lenalidomide suppresses ribogenesis and induces a ribosomal stress response downstream of Cul4a-CRBN but upstream of c-Myc suppression and p53 induction. These effects likely result from the IMiDs-induced modification of the Cul4a-CRBN ubiquitome and the regulation of RPs integration into ribosomal subunits. These findings also explain the observed clinical activity of IMiDs in other ribosomopathies like 5q- MDS and Diamond-Blackfan anemia Disclosures: No relevant conflicts of interest to declare.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".