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Targeting p53 Via JNK Pathway: A Novel Role of RITA for Apoptotic Signaling in Multiple Myeloma

2011· article· en· W2567821876 on OpenAlexaff
Manujendra N. Saha, Hua Jiang, Yijun Yang, Xiaoyun Zhu, Xiaoming Wang, Aaron D. Schimmer, Hong Chang

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsChromatin immunoprecipitationPhosphorylationBiologySignal transductionc-junCancer researchApoptosisActivator (genetics)Molecular biologyImmunoprecipitationMdm2Transcription factorPromoterGeneGene expressionCell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 1836 The low frequency of p53 alterations e.g., mutations/deletions (∼10%) in multiple myeloma (MM) makes this tumor type an ideal candidate for p53-targeted therapies. We have previously reported the anti-myeloma activity of a small molecule RITA. However, the molecular mechanisms underlying the pro-apoptotic effect of RITA are largely undefined. There remain controversies over the notion that RITA increases p53 activity by binding with p53. It is highly possible that that RITA-induced activation of the p53 pathway can also occur in the mechanisms independent of inhibition of the p53-MDM2 interaction. To expore the molecular signaling pathway in RITA-induced apoptosis, we performe μd gμene expression profiling (GEP), by microarray in MM.1S cells treated with RITA or DMSO control. A significant number of genes (∼46) were associated with different types of stress signaling including p53 and c-Jun N-terminal kinase (JNK) signaling. Consistent with GEP data we found that treatment of H929 and MM.1S cells (harboring wild type p53) with RITA resulted in a dose- and time-dependent increase in the phosphorylation of c-Jun (c-Jun-p) along with up-regulation of p53. Furthermore, we examined the binding of c-Jun to the activator protein (AP-1) binding site of the p53 promoter region. Chromatin immunoprecipitation analysis (ChIP) analysis demonstrated that phosphorylated c-Jun antibody immunoprecipitated a significantly increased proportion of the region of the p53 promoter containing AP-1 site in both MM.1S and H929 cells treated with RITA, whereas the control antibody (IgG) failed to precipitate it. Quantitative analysis by PCR showed a ∼5 and 7-fold increase of c-Jun binding to p53 promoter in RITA-treated MM.1S and H929 cells, respectively, in comparison to DMSO-treated cells. In order to clarify the involvement of JNK, we investigated the role of JNK in the regulation of p53-mediated apoptosis induced by RITA in MM cells by using a JNK specific inhibitor, SP-600125. SP600125 abrogated the ability of RITA to up-regulate phosphorylated c-Jun and p53. To further understand specific inhibition of JNK activation, using siRNA approach JNK was selectively knocked down in H929 cells resulting in bloackge of RITA-induced activation of c-Jun and p53. Functionally, apoptosis induction by RITA in H929 cells was inhibited by both SP-600125 and JNK siRNA as evidenced by reduction of cleavage of caspase-3 and PARP and attenuation of the RITA-induced increase of Annexin V-positive cells. On the other hand, p53 transcriptional inhibitor, PFT-α or p53 siRNA not only inhibited the activation of p53 transcriptional targets but also abrogated the activation of c-Jun suggesting the establishment of a positive feedback loop between p53 and JNK. In addition, silencing p53 expression significantly blocked the apoptosis induction by RITA. These results confirm that RITA-induced apoptosis in MM cells is p53-dependent. Furthermore, we examined the combined cytotoxic effect of RITA and dexamethasone (DXM) or CDDO (both of which are known as JNK activators) in H929 and MM.1S cell lines and primary MM samples. Treatment of H929 cells with RITA or DXM alone induced only 10 to 40% cell killing which was synergistically enhanced to 65% (CI, 0.86) and 80% (CI, 0.55), respectively in RITA plus DXM combination. The combination of 5 μM RITA and 1 μM DXM induced a synergistic cytotoxicity (CI=0.81-0.90) in 3 primary MM samples. In MM.1S cells, the combination of 0.5 μM CDDO with either 0.25 or 0.5 μM RITA displayed a synergistic cytotoxic response with a CI value of 0.83 and 0.62, respectively (p<0.05). Finally, RITA demonstrates significant anti-tumor activity in a human plasmacytoma xenograft mouse model. Daily intraperitoneal (i.p.) treatment of RITA (10 mg/kg) decreased tumor growth (∼72% inhibition, p<0.01; at day 12 after treatment; n=4) with no apparent toxicity in mice implanted with H929 cells (5 × 106 cells injected s.c. in SCID mice). These findings reveal a novel mechanism of RITA-induced p53-mediated apoptosis through JNK signaling pathway. Our study also provides the rationale for combination of p53 activating drugs with JNK activators which may offer improved therapeutic strategies in treating MM patients. 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.222
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2011
Admission routes1
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