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A global, multicenter phase II trial of lapatinib plus capecitabine in gastric cancer.

2011· article· en· W2564858174 on OpenAlexaff
Michael J. Pishvaian, Dina Sakaeva, Ruey-Kuen Hsieh, Sun Young Rha, German Caderillo-Ruiz, W. H. Miller, Allison Kemner, Yasir M. Nagarwala, W. Zhang, Heinz‐Josef Lenz

Bibliographic record

VenueJournal of Clinical Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsLapatinibCapecitabineMedicineInternal medicineCancerGastroenterologyOncologyProgressive diseaseTyrosine-kinase inhibitorPhases of clinical researchResponse Evaluation Criteria in Solid TumorsClinical endpointChemotherapyClinical trialTrastuzumabBreast cancerColorectal cancer

Abstract

fetched live from OpenAlex

88 Background: Advanced gastric cancer (GC) is an incurable disease. HER2 overexpression has been reportedin 6%–35% of gastric and gastroesophageal tumors, whereas the EGFR is upregulated in about 18%–28%. Clinical studies confirm that targeting HER2 in combination with chemotherapy is an effective strategy, achieving a median survival of ∼13.5 mos. Lapatinib, a dual tyrosine kinase inhibitor of HER2 and the EGFR, inhibits tumor growth and modulates expression of fluoropyrimidine-targeting genes. LPT109747 is an international, multicenter phase II study investigating the combination of lapatinib + capecitabine in patients with advanced gastric or gastroesophageal junction adenocarcinoma. Methods: Primary endpoints of the study included clinical response rate, 5 mo PFS and mRNA and protein expression levels of genes involved in the 5-FU and HER2 pathway. HER2 overexpression was not required at study entry. Oral lapatinib was administered (1,250 mg/d, continuously) during a monotherapy run-in period (day -7 to 0) and in combination with oral capecitabine (1,000 mg/m2 BID, 14 of 21 days). Patients were treated until disease progression (PD) or study withdrawal. Biopsies were performed on days -7 and 0. Safety was assessed every 3 weeks and response every 6 weeks by RECIST. Results: Sixty-seven patients were included in the current analysis: 25% female, 75% male; 51% Caucasian, 45% Asian; median age 60 y (range: 22-89 y); 75% GC, 25% GEJ. All 67 patients were evaluable for response. The overall response rate was 22.4% (16.4% confirmed). 45% of patients had stable disease, and 24% had PD. No complete responses were observed. PD or death at < 5 mo was 63%. At the time of data cut off, PFS at 5 mo was 28.4% (17.3%–40.5%); median follow up was 26.4 weeks (CI: 22.1; 55.9); 39% of patients remain in follow up. Most frequent grade 3/4 events were anemia (13%), hand-foot syndrome (12%), decreased appetite (10%), and nausea (9%). Conclusions: The combination of lapatinib + capecitabine shows promising efficacy and is well tolerated as 1st line treatment for advanced GC. An analysis of biomarker data may help identify who may benefit most from this regimen. [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)0.003
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.193
GPT teacher head0.495
Teacher spread0.302 · 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 designRandomized 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

Citations10
Published2011
Admission routes1
Has abstractyes

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