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Record W4401410496 · doi:10.1159/000540290

Neratinib Alone or in Combination with Immune Checkpoint Inhibitors with or without Mammalian Target of Rapamycin Inhibitors in Patients with Fibrolamellar Carcinoma

2024· article· en· W4401410496 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLiver Cancer · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsSudbury Regional Hospital
FundersNational Cancer InstituteUniversity of California, San FranciscoUniversity of Texas MD Anderson Cancer CenterPuma BiotechnologyMemorial Sloan-Kettering Cancer Center
KeywordsNeratinibMedicineSunitinibEverolimusAxitinibTyrosine-kinase inhibitorNivolumabPembrolizumabInternal medicineClinical endpointOncologyCancerImmunotherapyClinical trialBreast cancer

Abstract

fetched live from OpenAlex

<b><i>Introduction:</i></b> Fibrolamellar carcinoma (FLC) displays upregulation of several oncogenes, including <i>HER2</i>, and multiple immune-suppressive mechanisms. We investigated the efficacy and safety of the pan-HER tyrosine kinase inhibitor neratinib as monotherapy (SUMMIT phase 2 basket study) or with immune checkpoint and/or mammalian target of rapamycin (mTOR) inhibitors (compassionate-use program) in patients with FLC. <b><i>Methods:</i></b> Patients received neratinib 240 mg/day orally in SUMMIT, or as doublet or triplet combinations with pembrolizumab 2 mg/kg intravenously every 3 weeks, nivolumab 240 mg intravenously every 2 weeks, everolimus 7.5 mg/day orally, or sunitinib 37.5 mg/day orally under compassionate use. The primary endpoint in SUMMIT was objective response rate; safety was a secondary endpoint. <b><i>Results:</i></b> Fifteen patients with FLC received neratinib monotherapy in SUMMIT. The objective response rate was 5% (95% confidence interval [CI]: 0–21.8) and the disease control rate was 13.3% (95% CI: 1.7–40.5). Upon progression, five had added immune checkpoint inhibitors with or without everolimus or sunitinib. Two additional patients received neratinib-based combinations outside of SUMMIT, for a total of 17 neratinib-treated patients. One patient who received neratinib plus pembrolizumab had a confirmed partial response, one treated with neratinib plus everolimus had stable disease lasting 6 months, and one who received neratinib plus pembrolizumab plus sunitinib had stable disease lasting 16 months. Grade 3/4 adverse events with neratinib monotherapy occurred in 10 (66.7%)/2 (13.3%) patients, respectively. Grade 3 adverse events with neratinib-based combinations were hyperglycemia (<i>n</i> = 1; neratinib plus pembrolizumab), hepatic failure, and anaphylaxis (<i>n</i> = 1 each, neratinib plus pembrolizumab plus everolimus). There were no grade 4 adverse events with combination therapy. <b><i>Conclusion:</i></b> In patients with FLC, single-agent neratinib had limited efficacy, but clinical benefit was observed with neratinib in combination with immunotherapy and/or mTOR-targeted agents.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.228
Teacher spread0.221 · 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