Evidence map›Paper›PMID 42002715›Full record

ArticleAnnals of surgical oncology2026

Axillary Pathologic Complete Response as a Stronger Prognostic Marker than Breast pCR in Clinically Node-Positive Stage II-III Breast Cancer.

Serdar Sarıdemir, Onur Can Güler, Burak Dinçer, Ahmet Karayiğit, Fatih Yıldız, Cihangir Özaslan

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Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Serdar SarıdemirDepartment of Surgical Oncology, University of Health Sciences, Ankara Oncology Training and Research Hospital, Ankara, Turkey. dr.saridemir@gmail.com.ORCID http://orcid.org/0000-0002-9979-9662
Onur Can GülerDepartment of Surgical Oncology, University of Health Sciences, Ankara Oncology Training and Research Hospital, Ankara, Turkey.
Burak DinçerDepartment of Surgical Oncology, University of Health Sciences, Ankara Oncology Training and Research Hospital, Ankara, Turkey.
Ahmet KarayiğitDepartment of Surgical Oncology, University of Health Sciences, Ankara Oncology Training and Research Hospital, Ankara, Turkey.
Fatih YıldızDepartment of Medical Oncology, University of Health Sciences, Ankara Oncology Training and Research Hospital, Ankara, Turkey.
Cihangir ÖzaslanDepartment of Surgical Oncology, University of Health Sciences, Gülhane School of Medicine, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPathologic complete response (pCR) after neoadjuvant systemic therapy (NAST) predicts improved survival in breast cancer, but the relative prognostic value of breast versus axillary pCR in initially node-positive disease remains unclear.

methodsWe analyzed 455 patients with clinically node-positive stage II-III breast cancer treated with NAST (2010-2022). Patients were classified by breast-axilla response patterns: both-site pCR (n = 99), breast-only pCR (n = 24), axilla-only pCR (n = 117), and neither pCR (n = 215). The primary endpoint was invasive disease-free survival (IDFS); overall survival (OS) was secondary. Multivariable Cox models assessed prognostic associations adjusted for clinicopathologic covariates.

resultsMedian follow-up was 57.2 months; 135 IDFS events, and 118 deaths occurred. In head-to-head analysis, axillary pCR showed numerically stronger prognostic associations than breast pCR (IDFS adjusted hazard ratio [aHR] 0.441 vs. 0.501; OS aHR 0.373 vs. 0.544). Compared with neither pCR, both-site pCR (IDFS aHR 0.217, 95% confidence interval [CI] 0.12-0.394) and pooled discordant response patterns achieving one-site pCR (aHR 0.464, 95% CI 0.304-0.709) demonstrated favorable outcomes, whereas breast-only pCR, observed in small, underpowered subgroup (n = 24), did not show a statistically significant benefit (aHR 0.928, P = 0.849). Five-year IDFS was 89% (both-site pCR), 77% (axilla-only pCR), 65% (breast-only pCR), and 63% (neither pCR). Findings remained robust in sensitivity analyses restricted to biopsy-confirmed node-positive patients and ALND-only subsets.

conclusionsIn clinically node-positive breast cancer treated with NAST, axillary pCR showed numerically stronger prognostic associations than breast pCR, although this apparent difference should be interpreted cautiously. Post-neoadjuvant nodal status may help to refine risk stratification and inform adjuvant treatment planning.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsLymph NodesNeoadjuvant TherapyAdultAgedAxillaFemaleFollow-Up StudiesHumansLymphatic MetastasisMiddle AgedNeoplasm StagingPathologic Complete ResponsePrognosisRetrospective StudiesAxillary lymph nodesBreast cancerDiscordanceNeoadjuvant systemic therapyNode-positivePathologic complete responsePrognosisSurvival

Identifiers

PMID42002715

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.