Prognostic Value of Circulating Tumor Cells and Cancer Associated Macrophage-Like Cells in Metastatic Non-Small Cell Lung Cancer Patients: A Retrospective Exploratory Analysis

循环肿瘤细胞和癌相关巨噬细胞样细胞在转移性非小细胞肺癌患者中的预后价值:一项回顾性探索性分析

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Abstract

OBJECTIVES: Although immune checkpoint inhibitors (ICIs) and targeted therapies have reshaped treatment non-small cell lung cancer (NSCLC) paradigms, prognosis remains poor for many patients due to delayed diagnosis and resistance mechanisms. Liquid biopsy offers a minimally invasive approach to monitoring tumor evolution. Among circulating biomarkers, circulating tumor cells (CTCs) and cancer-associated macrophage-like cells (CAM-Ls) may provide complementary prognostic insights. The study aimed to evaluate the prognostic role of CTC and CAM-Ls dynamic in metastatic NSCLC patients. METHODS: We retrospectively analyzed 77 patients with metastatic NSCLC who underwent CTC and CAM-L evaluation via the CellSearch® system at baseline (T0) and after three months of first-line treatment (T1) including chemotherapy, targeted therapy, or ICIs. Survival outcomes were analyzed using Kaplan-Meier and Cox regression analyses. RESULTS: Conversion to CTC-negative status at T1 was associated with improved outcomes, with median overall survival (OS) and progression-free survival (PFS) of 33 and 18 months, respectively, vs. 10 and 6 months in persistently positive patients (both p < 0.001). CTC negativity at T1 remained an independent prognostic factor for OS (HR: 6.68) and PFS (HR: 5.91, both p < 0.0001). CAM-L positivity at T1 also correlated with longer OS (30 vs. 12 months) and PFS (13 vs. 6 months, both p < 0.0001), particularly among ICI-treated patients. Combined CTC and CAM-L assessment further refined risk stratification. CONCLUSIONS: Dynamic monitoring of CTCs and CAM-Ls provides actionable prognostic information in metastatic NSCLC. CTC-negative status predicted longer OS and PFS, while CAM-L positivity at T1 was associated with improved outcomes, particularly in ICI-treated patients. Combined assessment of both biomarkers may directly inform therapeutic decision-making, through early detection of outcomes.

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