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Interim results of a randomized phase 2 study of docetaxel with ramucirumab versus docetaxel in second-line advanced or metastatic urothelial carcinoma.

2015· article· en· W2261580129 on OpenAlexaff
Daniel P. Petrylak, Scott T. Tagawa, Manish Kohli, Shande Tang, Hui Zhang, Oday Hamid, John Kauh, Richard A. Walgren, Kim N.

Bibliographic record

VenueJournal of Clinical Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsDocetaxelMedicineRamucirumabTaxaneMetastatic Urothelial CarcinomaInternal medicineClinical endpointPaclitaxelOncologyRegimenInterim analysisPhases of clinical researchResponse Evaluation Criteria in Solid TumorsChemotherapy regimenConcomitantProgression-free survivalChemotherapyUrologyClinical trialCancerBreast cancerBladder cancerUrothelial carcinoma

Abstract

fetched live from OpenAlex

295 Background: Patients (pts) with metastatic urothelial carcinoma (UC) progressing after first-line chemotherapy have limited treatment options. Ramucirumab (Ram), a human VEGFR2-targeted mAb, has demonstrated clinical activity in several solid tumors. Preclinical testing supports a role for Ram-taxane combinations in UC. Study JCDC is an open-label, multicenter, randomized phase 2 study of docetaxel (Doc) alone or combined with Ram or icrucumab (Icr) in locally advanced or metastatic platinum-resistant UC. We report on a planned interim analysis for Doc + Ram vs Doc; Icr results will be reported later. Methods: Eligible pts with advanced UC and ECOG PS 0-1 who relapsed ≤ 1 year from a platinum-regimen were randomized to receive Doc 75 mg/m2IV alone or with Ram 10mg/kg IV on Day 1 of repeating 21-day cycles. A sample size of 46 pts per arm enabled 71% power to demonstrate statistical significance of 4.5 mo (Doc + Ram) vs 3 mo (Doc) at a 1-sided α= 0.1. Treatment continued until disease progression or unacceptable toxicity. The primary endpoint is investigator-assessed PFS with RECIST v1.1, analyzed by K-M methods. A planned interim analysis was performed after 75% of the PFS events. Results: 44 pts received Doc and 46 received Doc + Ram. Study arms were well matched with a mean age of 67 yr (29-84), and a 4:1 male to female ratio. 58.7% (Doc + Ram) vs 61.4% (Doc) had ECOG PS 1. 58.7% (Doc + Ram) vs 52.3% (Doc) had visceral metastases. Doc + Ram reduced the risk of disease progression, stratified HR = 0.388; 95% CI: 0.222, 0.677; log-rank p = 0.0005, improving median PFS (5.1 vs 2.4 mo). The ORR for Doc + Ram was 19.6 vs 4.5% for Doc (p= 0.0502), and the disease control rate was 67.4 vs 43.2%. OS maturity is pending. The most common adverse events in the Doc + Ram arm (all grades) were fatigue (80.4% Doc + Ram v 75.0% Doc), decreased appetite (54.3 v 43.2%), nausea (54.3 v 25.0%), and neuropathy (50.0 v 38.6%). Grade (G) ≥3 febrile neutropenia (19.6 v 11.4%), pneumonia (13 v 9.1%), hypertension (4.3 v 0%) were higher with Doc + Ram. One G3 hematuria was observed in each arm. Conclusions: Results support a statistically significant improvement in PFS for Doc + Ram in second-line UC. Final results are expected in 2015. Clinical trial information: NCT01282463.

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)0.008
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.250
GPT teacher head0.516
Teacher spread0.266 · 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 designRandomized 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

Citations15
Published2015
Admission routes1
Has abstractyes

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