Impact of lenvatinib (LEN) dose-intensity and starting dose on survival among patients with advanced hepatocellular carcinoma (HCC): Results from a Canadian multicenter database (HCC CHORD).
Bibliographic record
Abstract
e16142 Background: The REFLECT trial established LEN as a first-line treatment option for HCC. However, decreased LEN exposure is common due to adverse events leading to dose reductions and treatment discontinuations. The aim of this study was to evaluate whether starting dose or dose-intensity of LEN affects survival. To our knowledge, this is the first study to examine dosing of LEN and survival in HCC patients treated outside of Asia. Methods: From July 2018 to December 2019, HCC patients treated with first-line LEN from 10 different Canadian cancer centers were included. Overall survival (OS), progression-free survival (PFS), disease control rate (DCR) and objective response rate (ORR) were retrospectively analyzed and compared across different mean dose-intensities (> 66.7% vs <=66.7%) and starting dose groups (Full vs reduced). Survival outcomes were assessed with Kaplan-Meier curves and Cox proportional hazards models. DCR and ORR were determined radiographically according to the treating physician´s assessment in clinical notes and not RECIST 1.1 or mRECIST. Results: A total of 173 patients were included. Median age was 67 years, 77% were men and 23% East Asian. The most frequent causes of liver disease were hepatitis C (38%) and B (20%). 56% of patients received localized treatment prior to LEN. Of those, 24% had TACE, 6% TARE and 8% had liver transplant. Before starting LEN 31% of patients were ECOG 0 and 57% were ECOG 1. Most patients were Child-Pugh A (81%) and BCLC stage C (73%). Main portal vein invasion was present in 15% of the patients. Median follow-up was 4.5 months. LEN was started at full dose in 54% of patients and 60% had a mean dose intensity greater than 66.7%. ORR, PFS and OS results and their comparison between the different starting dose and dose-intensities are shown in the table. In a multivariate model that adjusted for age, gender, stage, ECOG, Child-Pugh, BCLC, cirrhosis, liver etiology disease (hepatitis B, C and non-viral), presence of tumor thrombus, prior transplant and localized treatment, dose intensity (>66.7 vs <=66.7% [HR 0.70, 95% CI 0.42-1.18; p=0.18]) was not a predictor of survival. Conclusions: In HCC patients starting LEN at a reduced dose does not appear to compromise survival. LEN dose-intensity of > 66.7% was associated with improved survival, but not after controlling for potential confounders.[Table: see text]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".