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Abstract P3-08-52: Systemic toxicities of trastuzumab-emtansine predict tumor response in HER2+ metastatic breast cancer

2020· article· en· W3005632677 on OpenAlexaff
Shou‐Ching Tang, C. Capra, Germame Ajebo, Simon Mairs, Judith Meza–Junco, William B. Hillegass, Barbara S. Craft, Xiaofu Zhu

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTrastuzumab emtansineMedicineMetastatic breast cancerToxicityTrastuzumabInternal medicineOncologyCancerAntibody-drug conjugateBreast cancerAntibodyImmunologyMonoclonal antibody

Abstract

fetched live from OpenAlex

Abstract Introduction: The plant alkaloid Maytansine and its derivatives with anti-microtubule activity failed in early trials due to significant toxicity.When linked to trastuzumab as an antibody-drug conjugate (ADC), emtansine can be delivered directly into the target cell with little systemic toxicity since the emtansine is inactive before the linker of the ADC is cleaved inside the tumor cells. Systemic toxicities with trastuzumab-emtansine (T-DM1) include thrombocytopenia and transaminase elevations, unlike trastuzumab alone. We hypothesized that systemic toxicities of this ADC are in part the result of emtansine released from the lysed tumor cells, and if so, that they may predict its tumor response. To evaluate this hypothesis, the correlation between early toxicity and initial tumor response, as well as progression free survival, are examined in a retrospective multi-center study. Methods: Records of women with metastatic or locally advanced/inoperable HER2+ breast cancer who received at least one dose of T-DM1 were retrospectively abstracted from 3 centers with IRB approval. Eighty-two patients were identified. Nine were excluded—one due to a diagnosis of idiopathic thrombocytopenic purpura and eight due to lack of follow-up imaging after starting T-DM1. Platelet count, AST, and ALT results from baseline up to the 8th cycle were graded with the NCI CTCAEv5.0 toxicity scale and grades were summed as a toxicity score for the 73 evaluable patients. Sequential CT or PET/CT response to therapy were defined by RECIST criteria with the addition of a mixed response category. Results: A significant association between improved ordinal imaging response (complete, partial, stable, mixed, progression) and higher toxicity sum score was observed by the Jonckheere-Terpstra two-sided test (Z=-2.194, p=0.028). 66% of the progression free patients (29/44) had toxicity sum scores ≥2 compared to 45% with disease progression (13/29), Z=-1.89, p=0.059 by two-sided Cochran-Armitage Trend Test. Progression free survival (PFS) was significantly longer with toxicity score ≥ 2 compared to score ≤ 1, p = 0.012 by log-rank test. Further, longer PFS was significantly associated with higher toxicity sum score with HR= 0.67 (β= -0.418, SE(β) = 0.169, χ2 = 6.08, d.f.=1, p = 0.014) indicating a 33% decrease in hazard of progression for each one-point increase in toxicity score. Discussion: This small, retrospective study demonstrates a significant association between higher toxicity sum score and more favorable tumor response as well as progression free survival in women with metastatic or locally advanced/inoperable HER2+ breast cancer treated with T-DM1. Further study in large-scale trials is warranted to confirm this association and determine the clinical utility of toxicity score as a predictor of therapeutic response. Our finding does not exclude systemic toxicity from the possible ADC linker cleavage prior to endocytosis. However, when T-DM1 was studied in the metastatic setting, 48% of patients experienced a Grade 3 or higher adverse event leading to dose reductions or discontinuation of the drug in 19% and 10% of patients, respectively. In the adjuvant setting, with only residual tumor that can account for ADC-related tumor lysis, only 25% had a Grade 3 or higher adverse event leading to 18% of patients discontinuing the drug. Should our observation prove predictive in further studies, it may have ramifications for many more antibody-drug conjugates. Citation Format: Shou-Ching Tang, Carter Louis Capra, Germame H Ajebo, Simon Mairs, Judith Meza-Junco, William B. Hillegass, Barbara S. Craft, Xiaofu Zhu. Systemic toxicities of trastuzumab-emtansine predict tumor response in HER2+ metastatic breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-08-52.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.136
GPT teacher head0.446
Teacher spread0.310 · 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 designObservational
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".

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Citations0
Published2020
Admission routes1
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