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Abstract PS10-54: Single-centre retrospective study of treatment choices and outcomes of metastatic breast cancer post-progression on the CDK4/6 inhibitor palbobiclib

2021· article· en· W3130310298 on OpenAlexaff
María Luisa Romero Lagunes, Faisal Sickandar, Alia Thawer, Neda Stjepanovic, Katarzyna J. Jerzak, Maureen Trudeau, Andrea Eisen, Sonal Gandhi, Ellen Warner, Danilo Giffoni M. M. Mata, Abdullah Al-Humiqani, Anthony Lott, Rossanna C. Pezo

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePalbociclibMetastatic breast cancerBreast cancerInternal medicineOncologyCancerPrimary tumorPopulationFulvestrantSurgeryMetastasisTamoxifen

Abstract

fetched live from OpenAlex

Abstract Background: For Hormonal Receptor positive/HER2 negative (HR+/HER2-) metastatic Breast Cancer (mBC) the optimal treatment post-progression on a CDK4/6 inhibitor is still not defined. We aim to identify real-world patterns of systemic treatment choice following palbociclib use at a large tertiary cancer centre and to determine the outcomes for this patient population. Methods: We identified HR+/HER2- mBC patients treated with palbociclib between January 2016 and June 2020 using the institutional computerized prescriber order entry (CPOE) system. Patients with a 2nd primary other than breast, male, or with HER 2 overexpression were excluded. Electronic medical records were retrospectively reviewed to determine clinical, pathological characteristics, and treatment patterns. Our primary outcome was Time to Treatment Failure (TTF) for the subsequent treatment, using the Kaplan Meier survival method. Results: A total of 136 patients were included. At first diagnosis the median age was 52 years; 52% were premenopausal, the most prevalent primary tumor features were ductal histology (79%), and lymph node positive disease (54%). Regarding initial treatment 77% underwent surgery, 52% had adjuvant radiation therapy, 61% had chemotherapy (CT) and 67% had endocrine therapy (ET). The most frequent metastatic sites were bone 70%, liver 36%, and lung 33%. 63 tumors were rebiopsied, in 21 (33.3%) biomarkers had changed. Palbociclib was indicated as 1 Line in 45% of patients, 2 Line 26%, and ≥ 3 Line 27%. The most tolerated dose was 75 mg (44% v 33% tolerating 125 mg). The most prescribed endocrine backbones were AI (66%) and fulvestrant (30%). mTTF was 29.9 mo. (95%CI 12.68-47.11) for 1L, 33.2 mo. (95%CI 22.45-44.08) for 2L, 7.03 mo. (95%CI 2.29-11.76) for ≥ 3L. After a median follow-up of 18.7 mo, 74 patients (54%) had discontinued palbociclib due to progression (46%), toxicity (5%), or death (4%). Sites of progression were liver 37%, bone 29%, pleura 11%, lung 10% and peritoneum 6.5%. 63 patients had subsequent systemic therapy, with mTTF of 5.6 mo. 46 patients (34%) received chemotherapy, 29 patients had capecitabine, mTTF was 4.8 mo. 13 patients (9%) received endocrine therapy, 9 patients had fulvestrant +/- others, mTTF was 8.9 mo. For 5 patients (4%) the subsequent treatment was CDKi-based, 4 patients continued with palbociclib plus another endocrine backbone, mTTF was 16.5 mo. Only 1 patient (.7%) received everolimus-based subsequent treatment, with a TTF 5.6 mo. Conclusion: In this real-world analysis, we found that palbociclib was most tolerated at 75 mg and most prescribed with an AI. After progression on CDKi, the tendency was to prescribe a chemotherapy-based subsequent line, mainly capecitabine. Citation Format: Maria Luisa Romero Lagunes, Faisal Sickandar, Alia Thawer, Neda Stjepanovic, Katarzyna Jerzak, Maureen Trudeau, Andrea Eisen, Sonal Gandhi, Ellen Warner, Danilo Giffoni M. M. Mata, Abdullah MA Al-Humiqani, Anthony Lott, Rossanna C Pezo. Single-centre retrospective study of treatment choices and outcomes of metastatic breast cancer post-progression on the CDK4/6 inhibitor palbobiclib [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS10-54.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.248
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.431
Teacher spread0.345 · 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.

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
Published2021
Admission routes1
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