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Phase II trial of erlotinib in advanced pancreatic cancer (PC)

2009· article· en· W2597889315 on OpenAlexaff
Patricia A. Tang, Sharlene Gill, H. Au, Eric X. Chen, David W. Hedley, Michele LeRoux, L. Wang, Malcolm J. Moore

Bibliographic record

VenueJournal of Clinical Oncology · 2009
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPrincess Margaret Cancer CentreBC Cancer Agency
Fundersnot available
KeywordsErlotinibMedicineRashGemcitabineInternal medicineAdverse effectGastroenterologyEpidermal growth factor receptorErlotinib HydrochlorideOncologyCancer

Abstract

fetched live from OpenAlex

4609 Background: The epidermal growth factor receptor (EGFR) is a potentially important target in PC. Benefit from erlotinib (Tarceva), an oral EGFR tyrosine kinase inhibitor has been associated with the presence of a skin rash. The purpose of this study was to determine the efficacy of erlotinib, dosed to achieve a rash, in patients (pts) with PC. Methods: Erlotinib was given at an initial dose of 150 mg/day to eligible pts with locally advanced (LA) or metastatic PC who had progressed or were unable to tolerate gemcitabine-based chemotherapy. The dose of erlotinib was increased by 50mg every 2 weeks (maximum 300 mg/day) until > grade 1 rash (CTCAE v 3.0) or other dose-limiting toxicities occurred. Erlotinib pharmacokinetic (PK) studies were performed. Baseline tumor tissue was collected for analysis of Kras mutations, EGFR by IHC and FISH. The primary endpoint of this two- stage phase II trial was prolonged disease control (PR + SD > 8 wks) with a rate of >20% assumed to be significant . Results: Fifty pts were accrued (median age 61, M:F = 25:25, ECOG 0:1:2 = 5:41:4, LA:Metastatic = 5:45, prior gemcitabine none:adjuvant:palliative = 2:16:35). 47 and 40 pts were evaluable for toxicity and response, respectively. Dose-escalation to 200–300 mg of erlotinib was possible in 9 pts. Most common treatment adverse events (TAEs) of any grade were: rash (35 pts, 74.5%), diarrhea (18 pts, 38.3 %), and fatigue (8 pts, 17%). Grade 3+ TAEs were rash in 2 pts and diarrhea in 2 pts. Best response was SD in 14 pts, 0.35 (95% CI: 0.2–0.5). Prolonged disease control (SD > 8 wks) was observed in 10/40 evaluable pts, 0.25 (95% CI: 0.12–0.38), which met the primary study endpoint. Median TTP was 1.6 mo (95% CI:1.6–2.1), mOS 4.1 mo (95% CI:3.2–7.3), and 6 mo OS rate was 39% (95%CI: 24–61%). PK and correlative data are being analyzed and will be presented. Conclusions: Erlotinib is associated with prolonged stable disease in a subset of pts with advanced refractory PC. Dose escalation in the absence of toxicity is feasible and safe. [Table: see text]

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.203
GPT teacher head0.585
Teacher spread0.382 · 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 designNon-randomized 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

Citations15
Published2009
Admission routes1
Has abstractyes

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