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Evaluation of XL999, a Potent Inhibitor of FGFR3, for the Potential Treatment of t(4;14) Positive Multiple Myeloma.

2007· article· en· W2581181313 on OpenAlexaff
Suzanne Trudel, Xiu Zhi Yang, Zhihua Li, Sheng‐Ben Liang, Dana T. Aftab

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsCancer researchReceptor tyrosine kinaseAngiogenesisFibroblast growth factor receptor 3Multiple myelomaBiologyTyrosine kinaseCancerFibroblast growth factorReceptorKinaseMedicineImmunologyInternal medicineCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Recent advances in our understanding of the molecular pathogenesis of Multiple Myeloma (MM) have provided novel therapeutic targets for treatment of this incurable malignancy. The association of Fibroblast Growth Factor Receptor 3 (FGFR3) with the t(4;14) translocation that occurs uniquely in approximately 15% of MM patients, coupled with the demonstration of the transforming potential of this receptor tyrosine kinase (RTK), make this a particularly attractive target for the development of therapeutic agents for this poor prognosis group. Indeed, inhibition of activated FGFR3 induces apoptosis and inhibits growth in mice of FGFR3-expressing MM tumors, providing further validation of this RTK as a therapeutic target in t(4;14) MM. XL999 is a novel small molecule inhibitor of kinases involved in tumor cell growth and angiogenesis, and is currently in a Phase 1 clinical trial in patients with non-small cell lung cancer. XL999 inhibits members of the class III-V RTKs, including FGFR1 and 3, VEGFR2, PDGFR? and ?, KIT, and FLT3, and exhibits pharmacodynamic target modulation, anti-angiogenesis, and efficacy in multiple tumor models in mice (Eur. J. Cancer Suppl. 2: 141). We report here the FGFR3-targeting characteristics and anti-myeloma activity of XL999. XL999 inhibits FGFR3 with low nanomolar potency in biochemical enzyme assays. Therefore, we examined the activity of XL999 in several cell-based mechanistic assays of FGFR3 activity. The IL-6 dependent cell line, B9, was engineered to express wild-type or activated mutants (Y373C, K650E, G384D and J807C) of FGFR3 found in MM. XL999 differentially inhibited FGF-mediated growth of B9 cells expressing wild-type and mutant receptors, with IC50 values in the low nM range. Growth of these cells could be rescued by IL-6, indicating selectivity of XL999 for FGFR3. The activity of XL999 against FGFR3 was also examined in t(4;14) positive MM cell lines expressing FGFR3. XL999 inhibited the proliferation and viability of KMS-11 cells (FGFR3-Y373C) and OPM-2 cells (expressing FGFR3-K650E) with low nM potency. Importantly, inhibition by XL999 was still observed in the presence of IL-6 or IGF1, potent growth factors for MM cells. In addition, XL999 potently inhibited the phosphorylation of FGFR3 in OPM-2 and KMS-11 tumors after a single oral dose in pharmacodynamic studies in nude mice. U266 and 8226 cells, which lack FGFR3 expression, displayed minimal growth inhibition by XL999, demonstrating that at effective concentrations, XL999 is selective and exhibits minimal nonspecific cytotoxicity to FGFR3 negative MM cells. Further characterization of this finding demonstrated that inhibition of cell growth corresponded to G0/G1 cell cycle arrest, dose-dependent inhibition of downstream ERK phosphorylation, and induction of apoptosis in FGFR3-positive cells. In vitro analysis of XL999 combined with melphalan, bortezomib, or dexamethasone applied simultaneously to KMS11 cells indicated a strong synergistic interaction with dexamethasone, and additivity with either melphalan or bortezomib. Finally, XL999 produced cytotoxic responses in 5/5 primary myeloma samples derived from patients harboring a t(4;14) translocation. Collectively, these results suggest that XL999 may hold potential for patients with MM, particularly in combination with other agents.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.042
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.302
Teacher spread0.281 · 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 teacher head, 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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Citations2
Published2007
Admission routes1
Has abstractyes

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