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An analysis of EMERALD and LEAP trial criteria against real-world HCC cases reveals that a majority of complex patients (e.g., multifocal, large tumors) who could most benefit from combination therapies were ineligible, cautioning clinicians against broad application of trial results.

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Despite impressive data supporting HMA/Venetoclax, its application in younger, fit patients must be cautious. The pivotal VIALE-A trial excluded key subgroups like FLT3, core binding factor, and certain NPM1 patients, for whom intensive chemotherapy remains the standard.

The LEAP-010 trial excluded patients with vascular involvement due to the drug's bleeding risk. This is a common characteristic in real-world head and neck cancer patients, especially post-radiation. This discrepancy means that even if the drug combination had been successful, its applicability in routine clinical practice would be severely limited.

Pivotal trials for PARP inhibitor and ARPI combinations (e.g., PROPEL, MAGNITUDE) enrolled patients who were largely ARPI-naive. However, in modern practice, most patients receive an ARPI earlier in their treatment. This creates significant uncertainty about the benefit of these combinations for the majority of today's patients.

Positive Phase 3 trials in intermediate HCC met their primary Progression-Free Survival (PFS) endpoints. Criticizing them for not showing an overall survival benefit—an endpoint they weren't powered for—is a retrospective invalidation that risks discarding clinically meaningful advances.

Even when trials like LITESPARK 022 and Keynote 564 use identical eligibility criteria, outdated staging systems result in patient populations with different underlying risks. This makes direct comparison of outcomes between trials, even for the same drug, an unfair and statistically flawed analysis that ignores the function of a control arm.

Even when testing drugs in heavily pre-treated patients, clinical trials incorporate subtle biological selection criteria. For instance, the COMPASS trial excludes patients with visceral metastases, a tactic to enrich for a population more likely to respond and avoid the most aggressive disease subtypes.

In the LEAP-010 trial, the combination arm's higher efficacy was offset by significantly greater toxicity (67% vs 38% severe adverse events). This increased treatment burden likely limited sustained therapy and prevented patients from receiving subsequent treatments, ultimately nullifying any survival benefit from improved tumor response.

The LEAP-010 trial showed a combination therapy improved tumor response and progression-free survival but failed to improve overall survival, the ultimate measure of benefit. This highlights the risk of relying on surrogate endpoints, which can be misleading, especially when a treatment adds significant toxicity.

The control arm relapse rate in the SUNRISE 2 trial was only ~20%, while in the EV-303/KEYNOTE-905 trial it was ~60%. This huge discrepancy highlights that current clinical staging and selection criteria are poor at identifying patient risk, signaling an urgent need for better stratification tools like ctDNA for more effective clinical trials.

The successful KEYNOTE-564 trial intentionally used a pragmatic patient selection model based on universally available pathology data like TNM stage and grade. This approach avoids complex, inconsistently applied nomograms, ensuring broader real-world applicability and potentially smoother trial execution compared to studies relying on more niche scoring systems.