MétaCan
Menu
Back to cohort
Record W4243460686 · doi:10.1186/s13058-019-1196-y

NSABP FB-7: a phase II randomized neoadjuvant trial with paclitaxel + trastuzumab and/or neratinib followed by chemotherapy and postoperative trastuzumab in HER2+ breast cancer

2019· article· en· W4243460686 on OpenAlexaff
Samuel A. Jacobs, André Robidoux, Jame Abraham, José Manuel Pérez-García, Nicla La Verde, James Michael Orcutt, Marina Elena Cazzaniga, Fanny Piette, Silvia Antolín, Elena Aguirre, Javier Cortés, Antonio Llombart‐Cussac, Serena Di Cosimo, Rim S. Kim, Huichen Feng, Corey Lipchik, Peter C. Lucas, Ashok Srinivasan, Ying Wang, Nan Song, Patrick G. Gavin, April D. Balousek, Soonmyung Paik, Carmen J. Allegra, Norman Wolmark, Katherine L. Pogue–Geile

Bibliographic record

VenueBreast Cancer Research · 2019
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsTrastuzumabMedicineNeratinibOncologyInternal medicineBreast cancerCyclophosphamideChemotherapyGastroenterologyCancer

Abstract

fetched live from OpenAlex

Abstract Purpose The primary aim of NSABP FB-7 was to determine the pathologic complete response (pCR) rate in locally advanced HER2-positive (HER2 + ) breast cancer patients treated with neoadjuvant trastuzumab or neratinib or the combination and weekly paclitaxel followed by standard doxorubicin plus cyclophosphamide. The secondary aims include biomarker analyses. Experimental design pCR was tested for association with treatment, gene expression, and a single nucleotide polymorphism (SNP) in the Fc fragment of the IgG receptor IIIa-158V/F (FCGR3A). Pre-treatment biopsies and residual tumors were also compared to identify molecular changes. Results The numerical pCR rate in the trastuzumab plus neratinib arm (50% [95%CI 34–66%]) was greater than that for single-targeted therapies with trastuzumab (38% [95%CI 24–54]) or neratinib (33% [95%CI 20–50]) in the overall cohort but was not statistically significant. Hormone receptor-negative (HR − ) tumors had a higher pCR rate than HR + tumors in all three treatment arms, with the highest pCR rate in the combination arm. Diarrhea was the most frequent adverse event and occurred in virtually all patients who received neratinib-based therapy. Grade 3 diarrhea was reported in 31% of patients; there were no grade 4 events. Our 8-gene signature, previously validated for trastuzumab benefit in two different clinical trials in the adjuvant setting, was correlated with pCR across all arms of NSABP FB-7. Specifically, patients predicted to receive no trastuzumab benefit had a significantly lower pCR rate than did patients predicted to receive the most benefit ( P = 0.03). FCGR genotyping showed that patients who were homozygous for the Fc low-binding phenylalanine (F) allele for FCGR3A-158V/F were less likely to achieve pCR. Conclusions Combining trastuzumab plus neratinib with paclitaxel increased the absolute pCR rate in the overall cohort and in HR − patients. The 8-gene signature, which is validated for predicting trastuzumab benefit in the adjuvant setting, was associated with pCR in the neoadjuvant setting, but remains to be validated as a predictive marker in a larger neoadjuvant clinical trial. HR status, and the FCGR3A-158V/F genotype, also warrant further investigation to identify HER2 + patients who may benefit from additional anti-HER2 therapies beyond trastuzumab. All of these markers will require further validation in the neoadjuvant setting. Trials registration ClinicalTrials.gov, NCT01008150 . Retrospectively registered on October 5, 2010.

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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.421
Teacher spread0.383 · 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 teacher head, not a consensus.

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

Citations45
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBreast Cancer ResearchSame topicHER2/EGFR in Cancer ResearchFrench-language works237,207