Ceritinib plus nivolumab (NIVO) in patients (pts) with anaplastic lymphoma kinase positive (ALK+) advanced non-small cell lung cancer (NSCLC).
Bibliographic record
Abstract
2502 Background: Induction of PD-L1 expression due to constitutive oncogenic signaling has been reported in NSCLC models harboring EML4–ALK rearrangements. Here we explore whether the combination of ALKi (ceritinib) and PD1-inhibitor (NIVO) will provide sustained clinical benefit to pts with ALK+ NSCLC. Methods: This phase 1 dose escalation study enrolled previously treated (ALK inhibitor [ALKi] or chemotherapy) or tx-naive pts with stage IIIB/IV ALK+ NSCLC; who received NIVO 3 mg/kg IV Q2W + ceritinib with low-fat meal, at 450 mg/day (group 1) or 300 mg/day (group 2) until progression/unacceptable toxicity. Primary objective: MTD/recommended dose for expansion. Dose escalation was guided by Bayesian logistic regression model with overdose control. Results: Median follow-up: group 1 (n = 14) 13 mos (10-15); group 2 (n = 22) 6 mos (2-10). As of 9 Sep 2016, 16/36 (44%) pts discontinued tx: disease progression (11 [31%] pts), AE’s (3 [8%] pts), and death (2 [6%] pts). In group 1, 4 pts experienced DLT: pancreatitis (n = 2), lipase and transaminase increase (n = 1), and autoimmune hepatitis (n = 1). In group 2, 2 pts experienced DLT: G3 ALT increase. Both dose levels met Bayesian criteria for dose expansion. Overall most frequent (≥40%) AEs (n = 36), were diarrhea (64%), ALT increase (56%), AST increase (44%) and vomiting (42%). Most frequent ( > 10%) grade ≥3 AEs were increases in ALT (22%), GGT (17%), amylase (11%), and lipase (11%), and maculopapular rash (11%). Incidence of rash (grouped term) was 61%; similar in both groups. Grade 3 rash was reported in 29% pts in group 1 and 14% pts in group 2. Preliminary ceritinib steady state PK (AUC0-24 and Cmax) suggested that 300 mg/day exposure was ~ 70-75% of 450 mg/day. Confirmed (c)/unconfirmed (u) ORR: ALKi-pretreated pts (group 1 [n = 8], group 2 [n = 12]) was 63% (4 cPR,1 uPR; 95% CI: 25%, 92%), and 33% (4 uPR) 95% CI: 10%, 65%) respectively; ALKi-naïve pts, (group 1 [n = 6], group 2 [n = 10]) was 83% (5 cPR; 95% CI: 36%, 100%), and 70% (1 cCR, 3 cPR 3uPR; 95% CI: 35%, 93%) respectively. Conclusions: Ceritinib + NIVO is an active combination in ALK+ NSCLC. However, the protocol will be amended to address observed toxicities. Data will be updated for presentation. Clinical trial information: NCT02393625.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".