Dovitinib in first-line renal cell carcinoma: An investigation into tumour gene status and correlation with efficacy: A phase II clinical trial.
Bibliographic record
Abstract
443 Background: Dovitinib is an anti-VEGFR tyrosine kinase inhibitor, differentiated by its inhibition of FGFR-1,-2,-3 and PDGFRβ. We evaluated its activity as 1st-line therapy in patients with metastatic clear-cell renal cell carcinoma (mCCRCC) in correlation with status of genes relevant to its mechanism of action. Methods: 31 treatment-naïve patients with mCCRCC were enrolled in this single-arm, single-site, phase II study (ACTRN12612000140853) and received dovitinib at 500mg 5 days on/2 days off until progression. Patients were offered an optional post-treatment biopsy to elucidate resistance mechanisms. The primary endpoint was progression free survival (PFS) using RECIST 1.1. Secondary endpoints include response rate (RR) and efficacy by FGFR gene status (FISH and DNA sequence using Sequenom OncoCarta panel). Results: Accrual occurred over 15 months from March 2012. Median patient age was 64 years and 72% were male. ECOG performance status was 0 in 45% and 1 in 55%. Heng prognostic group was favorable-risk in 38%, intermediate-risk in 52% and poor-risk in 10%. 38% of patients had bone metastases. Four patients stopped treatment due to toxicity and 1 patient withdrew (investigator decision). Median PFS was 6.2 months (inter quartile range: 3.3 to 8.2). Of 28 evaluable patients, best response was; PR (29%), SD (53%) and PD (18%). All-cause grade 3/4 adverse events (AE’s) occurring in ≥5% of patients were; fatigue (16%), abdominal pain (13%), pancreatitis (10%), gout (7%), diarrhea (7%), bone pain (7%), hypercalcaemia (7%), elevated lipase (7%) and pulmonary embolism (7%). No Grade 5 AE’s occurred. Pre-treatment tumor tissue is available for analysis from primary and metastatic sites from 93% and 54% of patients respectively. To date, 6 patients have donated post-progression tumor tissue. Gene status (FISH) for FGFR-1,-2,-3, PDGFβ and PDGFRβ is available for 20 primary and 17 metastatic specimens. Conclusions: Dovitinib has activity when administered in the 1st-line setting of mCCRCC with a tolerable safety profile at this dosing schedule. Correlation of this activity to relevant gene status in tumor samples from study patients will be presented. Clinical trial information: ACTRN12612000140853.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".