FRONTIER-2: A phase 2b, long-term extension, dose-ranging study of oral JNJ-77242113 for the treatment of moderate-to-severe plaque psoriasis
Bibliographic record
Abstract
BACKGROUND: More patients with moderate-to-severe plaque psoriasis achieved responses with JNJ-77242113, a targeted oral peptide inhibiting interleukin-23 receptor signaling, versus placebo (PBO) at week (W)16 of the phase 2 FRONTIER-1 study. OBJECTIVE: FRONTIER-2, a long-term extension of FRONTIER-1, evaluated JNJ-77242113 through 1 year. METHODS: FRONTIER-1 participants received JNJ-77242113 at doses from 25 mg daily to 100 mg twice daily or PBO through W16. Patients completing FRONTIER-1 could enroll in FRONTIER-2 and continue JNJ-77242113 at the same dose through W52. Those on PBO crossed over to JNJ-77242113 100 mg daily for W16-52. Safety follow-up continued through W56. RESULTS: Most (89%) FRONTIER-1 patients continued to FRONTIER-2. Across outcomes, response rates were maintained from W16-52. The highest response rates generally occurred with JNJ-77242113 100 mg twice daily. At W52, 76% of patients achieved up to 75% improvement in Psoriasis Area and Severity Index (PASI75) with 100 mg twice daily; rates of clear or almost clear skin were 64% (PASI90), 74% (Investigator's Global Assessment 0/1), 40% (PASI100), and 43% (Investigator's Global Assessment 0). From W16-56, 59% of JNJ-77242113-treated patients had ≥1 adverse events. Serious adverse events, considered unrelated to treatment by investigators, occurred in 4% of patients. LIMITATIONS: The study was limited by the small number of patients in each treatment group and the descriptive nature of the longer-term data. CONCLUSION: Rates of skin clearance with JNJ-77242113 were durable to 1 year and no safety signals were identified.
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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 | 0.001 |
| 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".