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Abstract PO3-16-12: European real-world experience of patients with HER2+ advanced/metastatic breast cancer accessing trastuzumab deruxtecan through a named patient program: first interim analysis of EUROPA T-DXd

2024· article· en· W4396587819 on OpenAlexaff
Michelino De Laurentiis, José Á. García-Sáenz, Giampaolo Bianchini, Cristina Saura, Hans Wildiers, Arthur Allignol, Amanda Logue, Markus Lucerna, Sabine Stamenitis

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsAstraZeneca (Canada)
Fundersnot available
KeywordsTrastuzumabMedicineMetastatic breast cancerInterimOncologyBreast cancerCancerInterim analysisInternal medicineClinical trialPolitical science

Abstract

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Abstract Background: In 2021, trastuzumab deruxtecan (T-DXd) monotherapy was conditionally approved in the EU for adult patients with human epidermal growth factor receptor 2-positive (HER2+) advanced/metastatic breast cancer (mBC). A named patient program (NPP) was initiated (March 2021) to enable eligible patients with an unmet medical need to gain access to T-DXd when not yet available locally, either commercially or through an appropriate clinical trial. Centers that treated/are treating patients under this NPP were invited to participate in EUROPA T-DXd real-world data (RWD) collection. Methods: EUROPA T-DXd is an ongoing, multicenter (Ireland, Italy, and Spain), observational (retro- and prospective) study of RWD from approximately 200 adult patients with HER2+ advanced/mBC who had received ≥2 prior anti-HER2 regimens and for whom T-DXd was initiated through the NPP. Collection of RWD is optional and independent of eligibility for the NPP. The primary objective is to estimate real-world time to treatment discontinuation (rwTTD). Secondary objectives include real-world progression-free survival (rwPFS), reasons for T-DXd discontinuation, safety, and prior anti-HER2 treatment patterns. Results: This first interim analysis included 84 evaluable patients. Patients had a mean (standard deviation) age of 53.4 (11.1) years; most were female (97.6%) and had HER2 immunohistochemistry 3+ (70.2%), and 44% had received >3 prior lines of anti-HER2 therapy in the metastatic setting (Table). At data cutoff (June 5, 2023), 50 (59.5%) patients were still receiving T-DXd. In total, 34 patients (40.5%) discontinued T-DXd (death, n=1 [1.2%]; adverse event, n=3 [3.6%]; disease progression, n=26 [31%]; or other, n=4 [4.8%]). Median rwTTD was 21.4 months (95% confidence interval 17.6, not estimated), and median rwPFS was not reached. The results of the wider cohort will be presented at the meeting, including adverse events. Conclusion: Results from this first interim analysis confirm the efficacy of T-DXd in heavily pretreated patients with HER2+ mBC. Baseline characteristics and demographics are comparable to the clinical trial setting. Analyses are ongoing and will provide more mature rwTTD and rwPFS. XX XX Citation Format: Michelino De Laurentiis, José Ángel García-Sáenz, Giampaolo Bianchini, Cristina Saura, Hans Wildiers, Arthur Allignol, Amanda Logue, Markus Lucerna, Sabine Stamenitis. European real-world experience of patients with HER2+ advanced/metastatic breast cancer accessing trastuzumab deruxtecan through a named patient program: first interim analysis of EUROPA T-DXd [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-16-12.

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)0.011
metaresearch head score (Gemma)0.010
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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.090
GPT teacher head0.473
Teacher spread0.382 · 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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Citations3
Published2024
Admission routes1
Has abstractyes

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