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Comparative effectiveness and safety of neoadjuvant chemotherapy in combination with pembrolizumab for triple negative breast cancer: A real-world analysis from Alberta, Canada.

2025· article· en· W4410815601 on OpenAlexaffabout
Malek B. Hannouf, Ammara Naseer, Sasha M. Lupichuk

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of CalgaryOccupational Cancer Research Centre
Fundersnot available
KeywordsMedicinePembrolizumabTriple-negative breast cancerBreast cancerOncologyChemotherapyInternal medicineCancerTriple negativeImmunotherapy

Abstract

fetched live from OpenAlex

e12629 Background: The KEYNOTE-522 trial demonstrated improved pathologic complete response (pCR) rate and longer-term survival outcomes with the addition of pembrolizumab to neoadjuvant chemotherapy (NAC) which included taxane, carboplatin and anthracycline (TCbA) in patients with stage II/III triple negative breast cancer (TNBC). In Alberta, the KEYNOTE-522 protocol was adopted as standard of care by January 2023. This replaced NAC that routinely included taxane and anthracycline (TA) without carboplatin. This retrospective study describes the real-world clinical impact of adding pembrolizumab and carboplatin to neoadjuvant TA in patients with stage II/III TNBC in Alberta. Methods: The cohort was identified by Alberta Health Services Cancer Research & Analytics and clinical variables were retrieved from electronic medical records.We identified all patients diagnosed with stage II/III TNBC from November 2020 to November 2023 in Alberta, treated with either neoadjuvant TA or TCbA + pembrolizumab, and had undergone surgical resection by June 1, 2024. The primary outcome was rate of pCR. Secondary outcomes included rate of breast conserving surgery (BCS) vs mastectomy, rate of axillary lymph node dissection (ALND) vs sentinel node biopsy, and safety outcomes during the neoadjuvant phase including hospitalizations, emergency visits, and immunotherapy-related adverse events (irAEs). Results: Of the 248 eligible women, 110 were treated with TA and 138 were treated with TCbA + pembrolizumab. There were no differences in clinicopathologic and treatment factors between the groups. Women treated with TCbA + pembrolizumab compared to those treated with TA, had a significant increase in pCR rate of 32% (63.8% vs 31.8%, p < .0001) and BCS rate of 14.7% (56.5% vs 41.8%, p = 0.001) with corresponding 25.5% decrease in the rate of ALND (15.5% vs. 40%, < .0001). Women treated with TCbA + pembrolizumab compared to those with TA, were 16.2% more likely to visit ER (47.1% vs 30.9%, p = 0.009), and 16.1% more likely to be admitted to hospital (22.5% vs 6.4%, p = 0.0005) during the neoadjuvant phase. Among the 138 patients with pembrolizumab, 35 (25.4%) patients developed 46 separate irAEs in the neoadjuvant phase. The most common irAEs related systems were endocrinopathies (32.6%), GI (23%), cutaneous (10.9%), and lung (9%). Conclusions: In this real-world study of stage II/III TNBC, the pCR rate for neoadjuvant TCbA + pembrolizumab was comparable to the intervention arm in KEYNOTE-522 and was significantly improved compared to patients who received TA only. The increased pCR rate corresponded to a higher rate of BCS and lower rate of ALND. Adoption of the KEYNOTE-522 protocol was however associated with significant increased toxicity and use of health care resources, underpinning the need for close clinical management of these patients.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.063
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.389
Teacher spread0.368 · 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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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