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Evaluation of lapatinib as a component of neoadjuvant therapy for HER2+ operable breast cancer: NSABP protocol B-41.

2012· article· en· W4239258335 on OpenAlexaff
André Robidoux, Gong Tang, Priya Rastogi, Charles E. Geyer, Catherine A. Azar, James N. Atkins, Louis Fehrenbacher, Harry D. Bear, Luis Báez-Díaz, J. Phillip Kuebler, Richard G. Margolese, William B. Farrar, Adam Brufsky, Henry R. Shibata, Hanna Bandos, Soonmyung Paik, Joseph P. Costantino, Sandra M. Swain, Eleftherios P. Mamounas, Norman Wolmark

Bibliographic record

VenueJournal of Clinical Oncology · 2012
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsMcGill University Health CentreJewish General HospitalMcGill UniversityCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineLapatinibTrastuzumabBreast cancerInternal medicineNeoadjuvant therapyExact testClinical endpointGastroenterologyOncologyCancerGynecologyClinical trial

Abstract

fetched live from OpenAlex

LBA506 Background: The purposes of this trial are to determine the effect of substituting lapatinib (L) for trastuzumab (T) in combination with weekly paclitaxel (WP) following AC as well as adding L to T with WP following AC on pathologic complete response (pCR) rates. Methods: Women with HER2-positive operable breast cancer received standard AC q3wks x 4 cycles followed by WP (80 mg/m2) on days 1, 8, and 15 q28 days x 4 cycles. Concurrently with WP, patients received either T (4 mg/kg load, then 2 mg/kg) weekly until surgery, L (1250 mg) daily until surgery, or weekly T plus L (750 mg) daily until surgery. Following surgery, patients received trastuzumab to complete 52 wks of HER2-targeted therapy. The primary endpoint is pCR breast. For each of the two primary comparisons, the Fisher’s exact test was used to test the equality of pCR rates. A Hochberg-type step-up procedure was applied to address multiple testings and to control the family-wise error rate at 0.05. Results: 51% were clinically node positive and 63% had HR+ tumors. pCR assessments were available from 519 of 529 patients. pCR percentage was 52.5% for AC→WP+T, 53.2% (p=0.9) for AC→WP+L, and 62% (p=0.075) for AC→WP+TL. pCR percentages in the HR+ subset were 46.7%, 48% (p=0.85), and 55.6% (p=0.18), respectively, and were 65.5%, 60.6% (p=0.57), and 73% (p=0.37) in the HR- cohort. The corresponding pCR breast and nodes percentages were 49.1%, 47.4% (p=0.74), and 60.4% (p=0.04). Grade 3/4 toxicities include diarrhea in 2%, 20%, 27% (p<0.001), and symptomatic Gr 3/4 left ventricular systolic dysfunction in 4%, 4%, and 2% (p=0.49). Conclusions: Substitution of lapatinib for trastuzumab in combination with the chemotherapy program employed in this study resulted in similar high percentages of pCR in both HR+ and HR- cohorts. Combined HER2-targeted therapy produced a numerically higher pCR percentage than single agent HER2-directed therapy, but the difference was not statistically significant. Central review of HER2 and ER is being conducted to determine if subsets benefiting from the combined HER2-targeted therapy can be identified. Funding: GlaxoSmithKline.

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)0.002
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 score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.004

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 head0.456
GPT teacher head0.652
Teacher spread0.195 · 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

Citations24
Published2012
Admission routes1
Has abstractyes

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