Baseline and Early On-Treatment Prognostic Nutritional Index in Hormone Receptor–Positive, HER2-Negative Metastatic Breast Cancer Treated with CDK4/6 Inhibitors

Background/Objectives: The prognostic nutritional index (PNI) has been associated with outcome in metastatic breast cancer, but studies in CDK4/6 inhibitor-treated patients have used cohort-derived thresholds and examined only the pretreatment value. We assessed the PNI as a continuous variable, compared it with inflammatory indices, and examined whether repeated measurement added information. Methods: We reviewed 192 consecutive patients with hormone receptor–positive, HER2-negative metastatic breast cancer treated with a CDK4/6 inhibitor and endocrine therapy at a single centre. We calculated the PNI, neutrophil-to-lymphocyte ratio (NLR), and systemic inflammation response index (SIRI) before treatment and recalculated them before cycles 2 and 3. The Cox models were adjusted for age, liver metastasis and line of therapy; no threshold was derived from these data. Results: The median follow-up was 44.9 months. Each one-point increase in the baseline PNI was independently associated with lower hazards of progression (HR 0.952, 95% CI 0.923–0.983) and death (HR 0.919, 95% CI 0.884–0.956), corresponding to HR 0.782 (95% CI 0.670–0.918) and HR 0.656 (95% CI 0.540–0.799) per five-point increase. For overall survival, in formal comparisons on identical patient sets, neither the NLR nor the SIRI added prognostic information to a model containing the PNI (likelihood ratio p = 0.383 and p = 0.335), whereas the PNI added information to models containing either ratio (p < 0.001 and p = 0.004). In exploratory landmark analyses, change in the PNI added little to the baseline value; apparent associations between increases in the NLR or SIRI by cycle 3 and overall survival did not persist after winsorisation of extreme change scores. Conclusions: Baseline PNI, analysed as a continuous variable and without a data-derived threshold, was independently associated with progression-free and overall survival in this cohort. For overall survival, neither baseline inflammatory ratio added detectable prognostic information beyond the index, and repeated measurement during treatment added little to the baseline value, although the confidence intervals do not exclude modest effects. Because all patients received a CDK4/6 inhibitor and no comparator arm was available, these findings support a prognostic rather than a predictive interpretation, and external validation is required before the index can inform clinical decisions.

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Journal
Journal of Clinical Medicine
Published
2026-09-01
DOI
https://doi.org/10.3390/jcm15176790
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Baseline and Early On-Treatment Prognostic Nutritional Index in Hormone Receptor–Positive, HER2-Negative Metastatic Breast Cancer Treated with CDK4/6 Inhibitors

İbrahim Vedat Bayoğlu, Selver Işık, Pınar Erel, Ezgi Çoban et al.
Journal of Clinical Medicine
Inflammatory Biomarkers in Disease Prognosis
article

Baseline and Early On-Treatment Prognostic Nutritional Index in Hormone Receptor–Positive, HER2-Negative Metastatic Breast Cancer Treated with CDK4/6 Inhibitors

İbrahim Vedat Bayoğlu, Selver Işık, Pınar Erel, Ezgi Çoban, Ali Kaan Güren, Abdüssamet Çelebi, Mustafa Alperen Tunç, Murat Sarı, Yeşim Ağyol, Erkam Kocaaslan, Fırat Akagündüz, Ahmet Demirel, Osman Köstek, Nazım Can Demircan, Burak Paçacı, Atilla Eren Kurt
article en

Abstract

Background/Objectives: The prognostic nutritional index (PNI) has been associated with outcome in metastatic breast cancer, but studies in CDK4/6 inhibitor-treated patients have used cohort-derived thresholds and examined only the pretreatment value. We assessed the PNI as a continuous variable, compared it with inflammatory indices, and examined whether repeated measurement added information. Methods: We reviewed 192 consecutive patients with hormone receptor–positive, HER2-negative metastatic breast cancer treated with a CDK4/6 inhibitor and endocrine therapy at a single centre. We calculated the PNI, neutrophil-to-lymphocyte ratio (NLR), and systemic inflammation response index (SIRI) before treatment and recalculated them before cycles 2 and 3. The Cox models were adjusted for age, liver metastasis and line of therapy; no threshold was derived from these data. Results: The median follow-up was 44.9 months. Each one-point increase in the baseline PNI was independently associated with lower hazards of progression (HR 0.952, 95% CI 0.923–0.983) and death (HR 0.919, 95% CI 0.884–0.956), corresponding to HR 0.782 (95% CI 0.670–0.918) and HR 0.656 (95% CI 0.540–0.799) per five-point increase. For overall survival, in formal comparisons on identical patient sets, neither the NLR nor the SIRI added prognostic information to a model containing the PNI (likelihood ratio p = 0.383 and p = 0.335), whereas the PNI added information to models containing either ratio (p < 0.001 and p = 0.004). In exploratory landmark analyses, change in the PNI added little to the baseline value; apparent associations between increases in the NLR or SIRI by cycle 3 and overall survival did not persist after winsorisation of extreme change scores. Conclusions: Baseline PNI, analysed as a continuous variable and without a data-derived threshold, was independently associated with progression-free and overall survival in this cohort. For overall survival, neither baseline inflammatory ratio added detectable prognostic information beyond the index, and repeated measurement during treatment added little to the baseline value, although the confidence intervals do not exclude modest effects. Because all patients received a CDK4/6 inhibitor and no comparator arm was available, these findings support a prognostic rather than a predictive interpretation, and external validation is required before the index can inform clinical decisions.

Journal of Clinical MedicineVol. 15(17)
R. G. Kar Medical College and Hospital (IN), Istanbul Eye Hospital (TR), Marmara University (TR)
Zero hunger
Openalex Percentile: Top 13%
Inflammatory Biomarkers in Disease Prognosis
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