Real-world treatment outcomes and clinicopathologic and molecular determinants of response to first-line lenvatinib in patients with advanced follicular cell-derived thyroid cancer
Bibliographic record
Abstract
BACKGROUND: There is a paucity of real-world data regarding lenvatinib for locally-recurrent, metastatic and RAI-refractory thyroid cancer. Here we examined the efficacy of first-line lenvatinib in a genomically-characterized cohort and identified clinicopathological/molecular correlates of drug response. METHODS: Patients with advanced follicular cell-derived thyroid cancer who underwent NGS at Princess Margaret Cancer Centre and commenced first-line lenvatinib monotherapy between 2015-2023 were included. Kaplan-Meier method, log-rank tests and univariable/multivariable proportional hazard models were employed. RESULTS: In total, 77 patients were included (48% female, majority papillary (52%), poorly differentiated (17%) or invasive encapsulated follicular variant papillary (16%)). Most (79%) underwent total thyroidectomy and adjuvant RAI (median cumulative dose 231 mCi). At lenvatinib initiation, median age was 62.9 years, 68% were ECOG performance status ≥2, 81% had lung metastases, 53% had bone metastases and 8% had liver metastases. Most patients started with ≤14 mg of lenvatinib daily. Median time to treatment discontinuation was 33 months. Older age, ECOG ≥ 2, liver metastases and TP53 mutation(s) were associated with shorter time to treatment discontinuation; ECOG ≥ 2 and TP53 mutation(s) remained significant on multivariable analysis. CONCLUSION: Our findings reinforce the clinical efficacy of lenvatinib in advanced thyroid cancer patients with heterogenous clinicopathologic/molecular features and highlight variables for future treatment stratification.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".