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Clinicopathological Predictors of Pathological Complete Response in HER2-Positive Breast Cancer Treated with Pertuzumab-Based Neoadjuvant Therapy: A Multicenter Real-World Study

dc.contributor.authorYildiz, Fatih
dc.contributor.authorKarabuga, Berkan
dc.contributor.authorKaratli, Salih
dc.contributor.authorYalinkilic, Merve
dc.contributor.authorOnur, Ilknur Deliktas
dc.contributor.authorKoylu, Ece Bilgic
dc.contributor.authorAslan, Ferit
dc.date.accessioned2026-10-09T21:52:34Z
dc.date.issued2026
dc.departmentYüksek İhtisas Üniversitesi
dc.description.abstractBackground and Objectives: Neoadjuvant systemic therapy incorporating dual HER2 blockade has significantly improved outcomes in patients with HER2-positive breast cancer. Pathological complete response (pCR) is an important surrogate endpoint associated with improved long-term survival. However, substantial heterogeneity in treatment response persists, and identifying factors associated with pCR remains clinically relevant. In addition to established clinicopathological variables, systemic inflammation-based biomarkers have recently been investigated as potential predictors of treatment response. Materials and Methods: In this multicenter retrospective study, we evaluated patients with stage II-III HER2-positive breast cancer who received pertuzumab-based neoadjuvant therapy followed by surgery between January 2023 and June 2025 across six oncology centers in T & uuml;rkiye. Clinicopathological characteristics, treatment-related variables, and baseline systemic inflammation-based biomarkers were analyzed. Logistic regression analyses were performed to identify factors associated with pCR. Results: A total of 372 patients were included, and the overall pCR rate was 61%. Higher pCR rates were observed in patients with hormone receptor-negative tumors (71.4% vs. 54.3%, p = 0.001) and in premenopausal patients (68.7% vs. 53.4%, p = 0.003). In multivariate analysis, hormone receptor status (OR 2.25, 95% CI 1.41-3.60, p < 0.001), menopausal status (OR 1.90, 95% CI 1.22-2.94, p = 0.005), neoadjuvant treatment regimen (OR 2.15, 95% CI 1.05-4.41, p = 0.037), and perineural invasion (OR 2.61, 95% CI 1.10-6.22, p = 0.030) were independently associated with pCR. In contrast, systemic inflammation-based biomarkers did not demonstrate significant associations with pCR, and ROC analyses showed limited discriminatory ability (AUC values approximately 0.5). Conclusions: In patients with HER2-positive breast cancer treated with pertuzumab-based neoadjuvant therapy, treatment response appears to be primarily influenced by clinicopathological and treatment-related factors rather than systemic inflammatory status. Peripheral blood inflammatory biomarkers derived from routine laboratory parameters showed limited value in predicting pCR in this setting.
dc.identifier.doi10.3390/medicina62040763
dc.identifier.issn1010-660X
dc.identifier.issn1648-9144
dc.identifier.issue4
dc.identifier.orcid0000-0001-6466-1420
dc.identifier.pmid42075632
dc.identifier.scopus2-s2.0-105036873645
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/medicina62040763
dc.identifier.urihttps://hdl.handle.net/20.500.12794/3936
dc.identifier.volume62
dc.identifier.wosWOS:001751131400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynak.digerScience Citation Index Expanded (SCI-EXPANDED)
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofMedicina-Lithuania
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-03: Good Health and Well-Being
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260922
dc.subjectHer2-Positive Breast Cancer
dc.subjectNeoadjuvant Therapy
dc.subjectPertuzumab
dc.subjectPathological Complete Response
dc.subjectSystemic Inflammatory Biomarkers
dc.titleClinicopathological Predictors of Pathological Complete Response in HER2-Positive Breast Cancer Treated with Pertuzumab-Based Neoadjuvant Therapy: A Multicenter Real-World Study
dc.typeArticle

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