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May 9, 2026BMC Cancer0 citationsOpen Access

Prognostic factors and survival in elderly breast cancer patients: roles of age, stage and inflammatory markers

DADogancan AkpalamutHEHalil İbrahim EllezEAElif Atağ

Key Points

  • This study aims to identify prognostic factors affecting survival in elderly breast cancer patients, focusing on treatment variability and clinical characteristics.
  • Retrospective analysis of 261 patients aged ≥ 65 years diagnosed with breast cancer.
  • Assessment of clinicopathological characteristics, treatment modalities, and inflammatory markers.
  • Survival analysis via Kaplan–Meier and multivariate Cox regression to identify independent predictors.
  • Patients aged ≥ 75 were significantly less likely to receive primary surgery (p = 0.041), adjuvant chemotherapy (p = 0.001), or radiotherapy (p = 0.001).
  • Median overall survival was 148 months for younger patients versus 87 months for those aged ≥ 75 (p < 0.001).
  • ECOG ≥ 2, CCI ≥ 3, and dNLR > 1.74 were identified as independent predictors of mortality with respective HRs of 2.89, 2.12, and 2.14.

Abstract

Abstract Background Breast cancer is a major clinical problem in elderly patients, yet data on prognostic factors and treatment outcomes in this population remain limited. This study investigated clinical characteristics, treatment patterns, and survival in elderly breast cancer patients, with focus on functional status, comorbidity burden, and inflammatory markers. Methods This retrospective study included 261 patients aged ≥ 65 years diagnosed with breast cancer at Dokuz Eylül University Medical Oncology Clinic between 2010 and 2023. Patients were stratified into two age groups (65–74 and ≥ 75 years). Clinicopathological characteristics, treatment modalities, ECOG performance status, Charlson Comorbidity Index (CCI), and the derived neutrophil-to-lymphocyte ratio (dNLR) were analyzed. Treatment comparisons were restricted to non-metastatic disease (stage I–III, n = 204). Survival was analyzed with Kaplan–Meier and log-rank tests. Receiver operating characteristic (ROC) analysis identified an optimal dNLR cutoff, and time-dependent ROC with inverse probability of censoring weighting assessed discriminatory performance over time. Multivariate Cox regression with backward likelihood ratio elimination identified independent prognostic factors; Harrell’s concordance index was calculated for model validation. Results Median follow-up was 142 months. No significant differences were observed between age groups regarding pathological features, receptor status, or comorbidities. However, patients aged ≥ 75 years were less likely to undergo primary surgery ( p = 0.041), adjuvant chemotherapy ( p = 0.001), or radiotherapy ( p = 0.001). Median overall survival was 148 versus 87 months ( p 1.74 (HR 2.14), TNBC (HR 2.30), age ≥ 75 (HR 1.52), and surgery (HR 0.53) as independent predictors of mortality. The full model achieved a C-index of 0.792. Conclusion Elderly breast cancer patients are less frequently treated despite similar clinicopathological features. ECOG performance status, CCI, disease stage, dNLR, and clinical subtype are independent predictors of mortality. The prognostic impact of chronological age was substantially attenuated after adjusting for functional status and comorbidity, emphasizing that treatment decisions should be guided by comprehensive geriatric assessment rather than age alone.

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Cite This Study

Akpalamut et al. (2026) studied this question.

synapsesocial.com/papers/69fed10fb9154b0b82878486https://doi.org/10.1186/s12885-026-16142-8
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