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A Phase II Study of ZD6474, a Vascular Endothelial Growth Factor Receptor (VEGFR) and Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase Inhibitor (TKI) in Patients with Relapsed Multiple Myeloma (MM).

2004· article· en· W2554921082 on OpenAlexaff
Michael J. Kovacs, Donna Reece, Deborah Marcellus, Ralph M. Meyer, S. Matthews, Rui-Ping Dong, Elizabeth A. Eisenhauer

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHamilton Regional Laboratory Medicine ProgramPrincess Margaret Cancer CentreLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineInternal medicineTransplantationVascular endothelial growth factorAngiogenesisPharmacologyGastroenterology

Abstract

fetched live from OpenAlex

Abstract ZD6474 targets angiogenesis by inhibiting VEGFR TK and also affects EGFR signaling by inhibiting EGFR TK activity. This oral agent showed dose-related tumor growth inhibition in a broad range of in vivo xenograft models. In Phase I studies, drug- and dose-related adverse events included rash, diarrhea, hypertension, and asymptomatic QT/QTc prolongation. Four patients with NSCLC included in the phase I studies exhibited partial responses. Because MM is a disease in which angiogenesis is postulated to be a relevant target for therapy, we conducted a phase II trial of ZD6474 100 mg p.o. daily in patients with MM who had relapsed following either high-dose chemotherapy and stem cell transplantation, or following non-high-dose chemotherapy. Although a higher dose was recommended for solid tumour trials, a dose of 100 mg p.o. daily produced plasma levels in phase I in excess of the IC50 for in vitro inhibition of VEGF-stimulated HUVEC proliferation and seemed well tolerated. For the study reported here, patients all had a measurable M protein in the serum or urine and were required to have an ECOG PS of 0, 1 or 2. Patients were excluded if they had any of: AGC <1.0x109/L or platelet count <50x109/L; bilirubin, AST and/or ALT >1.5xUNL; creatinine >2xUNL; K+ <4.0mmol/L; abnormal Ca2+ or Mg2+ levels, prior thalidomide treatment or pre-existing cardiac dysfunction. The primary efficacy endpoint was objective response as assessed by reduction in M protein. Following written, informed consent, 18 patients were entered into the study from five centers (9 male/9 female; mean age 64 yrs [35– 81]). Fourteen patients had relapsed following high-dose chemotherapy with stem cell transplant. One patient was ineligible due to elevated baseline calcium and one was not evaluable (off study due to non drug-related infection with < 14 days of therapy) . Patients were treated for 3.0– 29.4 weeks (mean 9.8 weeks). Overall, ZD6474 was well tolerated with only three patients missing doses of ZD6474. The most common drug-related adverse events were nausea, vomiting, fatigue, rash, pruritis, headache, diarrhea, dizziness, and sensory neuropathy, all of which were Grade I – II in severity. There were no drug-related serious adverse events. Laboratory adverse events were infrequent: one patient had Grade III anemia, and there were no Grade III changes in biochemistry. No significant QTc interval changes were seen. Fifteen patients had plasma samples obtained for at least 4 weeks after starting treatment. Trough levels of ZD6474 achieved or exceeded the IC50 for inhibition of VEGF-stimulated HUVEC proliferation in 13 of the 15 patients by day 28. There were no responses in M protein levels. In conclusion, ZD6474 was well tolerated at a dose of 100 mg per day and achieved plasma levels predicted to inhibit VEGF signaling. However, this was not reflected in clinical benefit since none of the patients had a reduction in M protein. ZD6474 development in solid tumors is continuing in a series of Phase II trials.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.015
GPT teacher head0.255
Teacher spread0.241 · 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 designNon-randomized trial
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

Citations3
Published2004
Admission routes1
Has abstractyes

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