A phase II trial of temsirolimus (TEM) and bevacizumab (BEV) in patients with advanced hepatocellular carcinoma (HCC).
Bibliographic record
Abstract
4099 Background: There is strong rationale to combine an m-TOR inhibitor (TEM) with a VEGF inhibitor (BEV) as a potentially active and well tolerated treatment for HCC. Both agents have shown modest single agent activity in HCC and so evaluated here in a phase II trial. Methods: A modified 2-stage Simon design planned 25 or 50 patients (pts) to test the null hypothesis that true tumor response rate is at most 10% andtrue 6-mo progression-free survival rate (PFS) (by RECIST) is at most 65%, or no better than single agent BEV (6 mo PR >2 pts or PFS 6 mo >18 out of 25.) Toxicity, TTP, PFS and survival were 2nd endpoints. Eligible pts had confirmed HCC with disease unresectable or amenable to other localised therapies, Child Pugh A liver status and no prior systemic therapy involving the VEGF or m-TOR class of agents. TEM was administered at starting dose 25 mg IV d1,8,15,22 with BEV at 10mg/kg IV d 1, 15, all q 28 days (1 cycle). Imaging was q 8 wks. Results: From 09/09 to 09/11, 27 eligible pts were enrolled with 25 evaluable for toxicity and efficacy. Med age 59 yrs, 85% male, PS 0/1: 35/65, 58% metastatic, >85% BCLC stage C. With med 6 cycles (range 1-14) delivered, most pts (88%) experienced a grade 3+ adverse event (a/e.) Common grade 3 a/es related to treatment included thrombocytopenia (40%), neutropenia (20%), leucopenia (12%), fatigue (8%), anemia, mucositis, dyspnea, diarrhea, bleeds, fistula, infections (4% each). There was one possible treatment related death. Per protocol dose reductions/discontinuation for TEM-related a/es were most common. There were 2 confirmed PRs and 16 pts progression-free by 6 mos. A third pt developed a late PR at cycle 13. Median TTP on study was 6 mos, median PFS was 7.4 mos and median survival was 8.3 mos, with 13 pts still alive. Accrual closed at end of stage 1 as neither the number of responses nor the PFS at 6 mos passed the futility stopping rule set for this combination. Conclusions: This multicenter study is the first HCC trial evaluating the BEV/TEM doublet. Despite manageable toxicity, the ORR and 6 mo PFS did not surpass assumptions based on single agent BEV in HCC. Further study of BEV/TEM combination in this advanced HCC population is not recommended.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.005 | 0.001 |
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.
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".