Monocyte-Driven Systemic Biomarkers and Survival After Pulmonary Metastasectomy in Metachronous Lung-Limited Oligometastatic Disease: A Retrospective Single-Center Study
Hacer Boztepe Yesilcay, Asim Armagan Aydin, Ahmet Unlu, Sencan Akdag, Kamuran Yuceer, Mustafa Yildiz

TL;DR
This study identifies monocyte-based biomarkers that predict survival after surgery for lung-limited cancer spread, offering new tools for patient selection.
Contribution
Monocyte-driven biomarkers like MAR and SIRI are shown to independently predict survival outcomes in pulmonary metastasectomy candidates.
Findings
MAR had the highest discriminative ability for mortality with an AUC of 0.749.
MAR and SIRI independently predicted overall and progression-free survival in multivariable analyses.
Monocyte-weighted indices added prognostic value beyond traditional anatomic criteria.
Abstract
Background/Objectives: Metachronous lung-limited oligometastatic disease represents a biologically heterogeneous state in which patient selection for pulmonary metastasectomy remains challenging. While systemic inflammation–nutrition indices have shown prognostic value across malignancies, their relevance in this strictly defined surgical setting is not well established. Methods: We conducted a retrospective single-center cohort study including 109 patients with isolated metachronous pulmonary recurrence who underwent curative intent R0 metastasectomy between September 2015 and April 2024. Preoperative systemic biomarkers, including neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune-inflammation value (PIV), and monocyte-to-albumin ratio (MAR), were evaluated using receiver operating characteristic…
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Taxonomy
TopicsInflammatory Biomarkers in Disease Prognosis · Lung Cancer Diagnosis and Treatment · Radiomics and Machine Learning in Medical Imaging
