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CHIR-258 Efficacy in a Newly Developed Preclinical Bone Marrow Model of t(4;14) Multiple Myeloma.

2005· article· en· W2979965816 on OpenAlexaff
Xiaohua Xin, Yan Tang, Yoko Oei, Helen Ye, Daniel L. Menezes, Katherine G. Rendahl, Paul W. Hollenbach, Nancy Pryer, Suzanne Trudel, Dirk B. Mendel, Bahija Jallal, Carla Heise

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsCancer researchBone marrowIn vivoMultiple myelomaMedicineTyrosine-kinase inhibitorPathologyBiologyImmunologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Abstract Multiple myeloma (MM) remains a fatal hematological malignancy due to the development of drug resistance to conventional high-dosage chemotherapy. It has been demonstrated that the bone marrow microenvironment, where MM cells preferentially home and grow, plays a crucial role in developing resistance to therapies for MM. Recent understanding of the molecular pathology of MM has provided novel therapeutic targets for treatment of this disease. The ectopic expression of FGFR3, which occurs in approximately 15–20% MM patients resulting from a t(4;14) chromosomal translocation and confers a particularly poor prognosis in clinic, has become an attractive therapeutic target for MM. CHIR-258 is a small molecule inhibitor of Class III, IV and V receptor tyrosine kinases, including FGFR, VEGFR and PDGFR (IC50s ~5–15 nM in kinase assays). It has been demonstrated that CHIR-258 inhibits FGFR3 autophosphorylation, downstream signaling and cell proliferation in FGFR3 mutant MM cells in vitro as well as induces apoptosis in FGFR3 positive primary myeloma cells (Trudel, et.al, Blood 2005). To evaluate the anti-myeloma efficacy of CHIR-258, we developed an in vivo MM model in which multi-organ MM lesions developed after tail vein injection of human KMS-11-luc cells stably transfected with luciferase. This cell line harbors the t(4;14) translocation and expresses constitutively active FGFR3 (Y373C mutation). Non-invasive bioluminescent imaging (BLI) was used to monitor the in vivo growth and dissemination of KMS-11-luc MM tumors. Early detection and serial imaging monitoring the growth of metastatic lesions was successfully captured by BLI in this model. Nearly all mice injected with KMS-11-luc tumor cells were found to develop MM lesions, which were mainly localized in spine, skull and pelvis. We examined CHIR-258 anti-myeloma efficacy in this model and found that daily oral administration of CHIR-258 at 20 mg/kg, a dose that was demonstrated to inhibit phosphorylation of ERK in KMS-11-luc tumors in vivo, resulted in a significant inhibition of tumor growth. Furthermore, this anti-tumor activity of CHIR-258 translated to a significant improvement of animal survival compared to vehicle treatment in this model. In vitro combination studies with dexamethasone and bortezomib in KMS-11 cells demonstrated synergistic and additive effects, respectively. The development of this KMS-11-luc in vivo model will allow further evaluation of CHIR-258 combination therapy with conventional or other molecularly targeted agents. These studies have provided further rationale for the ongoing clinical trials of CHIR-258 in MM.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.062
GPT teacher head0.341
Teacher spread0.279 · 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".

Quick stats

Citations1
Published2005
Admission routes1
Has abstractyes

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