ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Unveiling Macrophage Content as a Predictive Biomarker for Intraoperative ICG Imaging Efficacy in Lung Cancer.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Unveiling Macrophage Content as a Predictive Biomarker for Intraoperative ICG Imaging Efficacy in Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Due to the phenotypic and genotypic heterogeneity of tumors, the efficacy of intraoperative indocyanine green (ICG) imaging in lung cancer exhibits significant inter-patient variability. This study identifies macrophage content as a critical predictive biomarker for ICG imaging outcomes, offering both mechanistic, and clinical insights into this variability. Mechanistically, macrophages are demonstrated to serve as the principal ICG reservoirs in tumor tissues, exhibiting seven-fold higher uptake capacity compared to cancer cells. This critical role is confirmed by significantly diminished ICG accumulation following macrophage depletion in patient-derived xenograft (PDX) models. Clinically, a strong correlation is observed between imaging quality and macrophage content, with solid nodules exhibiting superior ICG uptake compared to ground-glass nodules due to higher macrophage infiltration. Furthermore, the strong tumor-to-normal ratio (TNR) association with preoperative maximum Standardized Uptake Value (SUVmax) on PET-CT suggests the feasibility of predicting ICG-guided surgery outcomes through routine imaging. The substantial contribution of macrophages to this predictive capability is a significant discovery, offering a novel biomarker for patient stratification in ICG-guided surgery. These insights not only deepen our comprehension of the intricate interplay between ICG and the lung cancer microenvironment but also open new avenues for the development of more personalized and precise surgical strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.