Protocol For An Adjuvant Alpha-Fetoprotein-Derived Peptide After Transarterial Chemoembolization in Patients With Hepatocellular Carcinoma: Safety Study
Bibliographic record
Abstract
BACKGROUND: Hepatocellular carcinoma (HCC) is a worldwide health concern because of a continued increase in cases globally; furthermore, the prognosis for patients with HCC remains poor. Transarterial chemoembolization (TACE) has been established as the standard of care for the intermediate stage of HCC; however, no therapeutic agents are available to reduce the high rate of recurrence. OBJECTIVE: This study aims to evaluate the safety of alpha-fetoprotein (AFP)-derived peptides for patients with HCC post-TACE. METHODS: This will be an open-label, single-arm, multicenter study to evaluate the safety of AFP-derived peptides (AFP 357 and AFP 403), which contain histocompatibility antigen-A24-restricted cytotoxic T lymphocyte epitopes from tumor antigens expressed in HCC and is recognized at a high rate by lymphocytes in patients with HCC. Protocol treatment will consist of six courses of the subcutaneous administration of 3 mg each of AFP 357 and AFP 403. A total of 14 patients will be included in this study, the first 6 as a main analysis target group and an additional 8 as an extended cohort from three institutions in Japan. The primary endpoint will be the occurrence of serious adverse events (safety profile). The secondary endpoints will include time to progression, overall survival, completion rate, and adverse events (efficacy profile). RESULTS: We have recruited 14 patients with HCC as of December 2019. The final follow-up will be completed by March 2020. CONCLUSIONS: In this study, we will evaluate the safety profile of AFP-derived peptides for patients with HCC post-TACE. We believe that this study will provide useful information and will help to design a subsequent phase II trial based on the results. TRIAL REGISTRATION: Japan Registry of Clinical Trials jRCTs041180155; https://jrct.niph.go.jp/latest-detail/jRCTs041180155. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/17082.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".