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Abstract P1-16-05: Prognosis and survival in metastatic breast cancer – Ten years in review, a population-based analysis

2019· article· en· W2944565413 on OpenAlexaff
Nathalie LeVasseur, Leathia Fiorino, C. Speers, M. Corbellas Aparicio, Caroline Lohrisch, S. Chia

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineMetastatic breast cancerBreast cancerCohortInternal medicineOncologyCancerHormonal therapySystemic therapyPopulation

Abstract

fetched live from OpenAlex

Abstract Background: The rapidly evolving landscape of systemic treatment for metastatic breast cancer (MBC) during the 1990s led to meaningful improvements in the overall survival (OS) of MBC patients[1]. Despite ongoing and expanded access to new treatments, it remains unclear if this has translated into further advances in survival. Moreover, the prognosis of MBC patients based on subtype, over time, are also important to differentiate. Methods: The BC Cancer Breast Cancer Outcomes Unit (BCOU) database was utilized to identify patients referred to BC Cancer who were diagnosed with MBC during 3 time cohorts (cohort 1:2003-2005; cohort 2:2007-2009; cohort 3:2011-2013), to reflect changes in MBC treatment over these separate time periods. Baseline clinical and pathological criteria were compiled, in addition to adjuvant treatments received, as well as number of lines of treatment in the metastatic setting. OS was compared across time cohorts for all patients and then between subtypes using Kaplan-Meier survival curves. Results: A total of 3,953 patients met the inclusion criteria, consisting of 2,440 (61.7%) estrogen-receptor positive (ER+), 778 (19.7%) HER2 positive and 542 (13.7%) triple-negative breast cancer (TNBC) patients. One hundred and ninety-three patients (4.9%) were unable to be subtyped and were therefore excluded from the analysis . A total of 2,205 (90.4%) ER+ patients received at least 1 line of systemic therapy, with 80.0% receiving at least 1 line of hormonal therapy. The median time on hormonal treatment was 8.9 months (range 0.03 - 156.7) for first-line and 6.1 months (range 0.1 – 173.3) for second-line. In the HER2+ group, 665 (85.5%) patients received at least 1 line of treatment, with a median of 2 lines of treatment (range 1-16). Median duration of anti-HER2 treatment was 6.7 months (range 0.03 - 163.8) with a median of 1 line of anti-HER2 directed treatment (range 1-5). For TNBC patients, 357 (65.9%) received at least 1 line of treatment, with a median of 2 (range 1-10). No significant differences in OS were observed between the 3 time cohorts, with a median overall survival (mOS) of 1.63 years, 1.37 years and 1.57 years in cohorts 1-3, respectively (p=0.12).When comparing across subtypes, the ER+ group faired best with a mOS of 1.96 years (95% CI 1.8-2.1), consistent across time cohorts (p=0.72). This was followed by the HER2+ group with a mOS of 1.53 years (95% CI 1.3-1.7), also consistent across time cohorts (p=0.31). The TNBC group faired worst, with a mOS of 0.67 years (95% CI 0.6-0.8) over time (p=0.87). Conclusions: Despite advances in systemic therapy since the early 2000s, no meaningful improvements in overall survival were observed over time, regardless of subtype. It remains to be seen if developments since 2013 will lead to gains in overall survival for MBC patients, at a real life, population-based level. [1]Chia SK, Speers CH, D'yachkova Y, et al. Cancer 2007;110:973-979. Citation Format: LeVasseur N, Fiorino L, Speers CH, Aparicio M, Lohrisch C, Chia SK. Prognosis and survival in metastatic breast cancer – Ten years in review, a population-based analysis [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-16-05.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.059
GPT teacher head0.431
Teacher spread0.372 · 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 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
Published2019
Admission routes1
Has abstractyes

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