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REPLACE: A phase III, randomized, open-label trial to evaluate the safety and efficacy of regorafenib and pembrolizumab versus locoregional therapy (LRT) with transarterial chemoembolization (TACE) or transarterial radioembolization (TARE), for the first-line treatment of intermediate-stage hepatocellular carcinoma (HCC) with beyond up-to-7 criteria.

2024· article· en· W4400272774 on OpenAlexaff
Peter R. Galle, Masatoshi Kudo, Josep M. Llovet, Ann‐Lii Cheng, Riccardo Lencioni, Yanina Oviedo, Kalpna Desai, Amandine Monier, Richard S. Finn

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsTranslational Research in Oncology
Fundersnot available
KeywordsMedicineRegorafenibPembrolizumabOncologyInternal medicineRadiologyNuclear medicineColorectal cancerCancerImmunotherapy

Abstract

fetched live from OpenAlex

TPS4200 Background: Intermediate-stage HCC represents a heterogeneous population, posing unique challenges for therapeutic management. With the advent of effective systemic therapies for unresectable HCC, the treatment landscape for intermediate-stage extends beyond LRT, particularly in patients with high tumor burden. The growing evidence about the benefit of systemic therapy in intermediate-stage HCC led to the inclusion in some recent guidelines of systemic therapy as the first choice of treatment in TACE-unsuitable patients with intermediate-stage HCC. Despite these recommendations, no randomized clinical trial has been published comparing LRT with TACE/TARE versus systemic therapy in patients with intermediate-stage HCC and high tumor burden. Methods: REPLACE is a phase III, multicenter, randomized, open-label trial that will compare the efficacy and safety of LRT with TACE/TARE versus systemic therapy, for the first-line treatment of intermediate-stage HCC with beyond up-to-7 criteria. Eligible participants will be randomized 1:1 to receive regorafenib (90 mg orally q.d. on days 1 to 21 of a 4-week cycle), and pembrolizumab (400 mg i.v. on day 1 of a 6-week cycle) or LRT with TACE or TARE, and will be stratified according to geographic region (Asia vs. non-Asia), ECOG Performance Status (0 vs 1) and Albumin-Bilirubin (ALBI) grade (1 vs 2). Patients must have intermediate-stage HCC with beyond up-to-seven criteria (Up-to-7 criteria = largest tumor diameter (cm) + number of tumors ≤7), measurable disease per RECIST 1.1, disease not amenable to curative treatment but amenable to LRT with TACE or TARE, no prior systemic or LRT for HCC, except for successful resection and/or ablation completed ≥ 6 months prior to randomization. Patients will be treated until progressive disease, unacceptable toxicity, or other treatment discontinuation criteria is met. The primary endpoint is progression free survival (PFS), assessed locally by the Investigator using mRECIST for HCC. Secondary endpoints include PFS assessed locally by the Investigator using RECIST 1.1; PFS centrally assessed using mRECIST and RECIST 1.1; overall survival; overall response rate according to RECIST v.1.1 and mRECIST based on the Investigator’s and central assessment; time to unTACEable progression; duration of response; safety and tolerability of the trial treatments, and patient reported outcomes for health-related quality of life. The estimated enrollment is 496 patients from approximately 14 countries. Recruitment started in October 2023 and is currently ongoing. Clinical trial information: NCT04777851 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.002

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.

Opus teacher head0.226
GPT teacher head0.451
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2024
Admission routes1
Has abstractyes

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