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Record W2158800518 · doi:10.1136/bcr-2014-205680

Activity of T-DM1 in HER-2 positive central nervous system breast cancer metastases

2014· article· en· W2158800518 on OpenAlexaff
Sofía Torres, Pejman Maralani, Sunil Verma

Bibliographic record

VenueBMJ Case Reports · 2014
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsLapatinibMedicineCapecitabineTrastuzumab emtansineTrastuzumabMetastatic breast cancerCentral nervous systemBreast cancerInternal medicineCancerOncologyCarcinosisPathologyColorectal cancer

Abstract

fetched live from OpenAlex

A 55-year-old woman with metastatic human epidermal growth factor receptor 2 (HER-2) positive breast cancer (BC) to the lungs and bones was diagnosed with central nervous system (CNS) metastases in November 2011. The MRI showed a right parietal lobe mass with adjacent leptomeningeal disease and several small bilateral cerebellar metastases. She was treated with whole brain irradiation (WBI), followed by capecitabine and lapatinib (December 2011-March 2013) and trastuzumab and lapatinib (May 2013-August 2013). Then, the brain MRI showed progression. In the absence of significant neurological symptoms, we postponed WBI and closely monitored for the development of neurological symptoms. Systemic treatment with trastuzumab emtansine (T-DM1), an antibody-drug conjugate composed of the cytotoxic agent DM1 conjugated to trastuzumab, was initiated in September 2013 to control systemic disease. Unexpectedly, after two cycles of treatment the brain MRI showed a decrease in size of CNS metastases. This case report suggests possible activity of T-DM1 in HER-2 positive BC with CNS metastases.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.307
Teacher spread0.290 · 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 designCase report
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

Citations29
Published2014
Admission routes1
Has abstractyes

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