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Real world outcomes of 2,339 patients with early-stage triple-negative breast cancer (TNBC) treated in British Columbia.

2024· article· en· W4399280309 on OpenAlexaffabout
Mairi Lucas, Stephen Chia, Caroline Speers, Caroline Lohrisch, Alan Nichol, Zahi Mitri

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineTriple-negative breast cancerBreast cancerOncologyStage (stratigraphy)Internal medicineCancerGynecology

Abstract

fetched live from OpenAlex

e23274 Background: TNBC represents 15-20% of all breast cancers, and tends to exhibit more aggressive features, more frequent distant metastasis and overall worse prognosis than other breast cancer subtypes. The treatment landscape for early-stage TNBC has changed considerably in the last decade, with new additions to neoadjuvant therapy (NAT) aimed at improving pathologic responses and outcomes. In this study, we assess real world data regarding treatment and outcomes in those with early-stage TNBC. Methods: The BC Cancer Breast Cancer Outcomes Unit database contains prospectively collected data on patients residing in British Columbia and diagnosed with breast cancer since 1989. This retrospective study evaluated patients diagnosed with stage I-III TNBC from 2010 to 2019. During this era, regimens containing anthracyclines and taxanes were routinely used. TNBC was defined as per ASCO-CAP guidelines as ER≤1%, PR≤1% and negative HER 2 (0, 1+ by immunohistochemistry, or 2+ ISH negative). Outcomes of interest included event free survival (EFS), overall survival (OS), and pathologic complete response (pCR). Results: 2,339 patients withstage I-III TNBC were identified with a mean follow up of 6.5 years. OS was 87% (95% CI 85-88%) at 3-years and 79% (95% CI 77-80%) at 5-years. The presenting stage was a significant prognostic factor, with 5-year EFS of 89%, 81% and 51%- and 5-year OS of 90%, 80%, and 53% for stages I, II, and III, respectively. There was an increase in NAT use in 2019 (n = 82/230,35.7%) when compared to 2010 (n = 20/227, 8.8%). The most common neoadjuvant regimens used included anthracycline and taxane chemotherapies (n = 343,81.4%), with only a small number receiving neoadjuvant platinum chemotherapy (n = 52, 12.4%). Pathological complete response (pCR) was achieved in 24.5% (103/421) of patients who received NAT. Patients with pCR had improved 5- year EFS (91% vs. 57%, HR 0.26 [95% CI 0.15-0.45]) and 5-year OS (90% vs. 59%, HR 0.26 [95% CI 0.15-0.45]) compared to those with residual disease. The subgroup that received salvage capecitabine had a poor 3-year EFS at 22% but was enriched for patients with residual nodal disease after NAT (n = 77/130, 59.2%). Conclusions: This real-world study of TNBC in the era prior to routine immunotherapy (IO), highlights the poor prognosis of TNBC, particularly patients with locally advanced disease and those who did not achieve pCR, despite adjuvant capecitabine. This stresses the need for advances in NAT and salvage therapies for TNBC with residual disease at high risk of recurrence. [Table: see text]

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.030
GPT teacher head0.383
Teacher spread0.353 · 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
Published2024
Admission routes2
Has abstractyes

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