# Unveiling Macrophage Content as a Predictive Biomarker for Intraoperative ICG Imaging Efficacy in Lung Cancer

**Authors:** Yue Yan, Jiahui Mi, Yun Li, Guanchao Jiang, Yimeng Zhang, Yanguo Liu, Hui Zhao, Jianfeng Li, Xing Yang, Jun Wang, Fan Yang, Kezhong Chen, Yiguang Wang, Jian Zhou

PMC · DOI: 10.1002/advs.202504498 · Advanced Science · 2025-08-04

## TL;DR

This study shows that the amount of macrophages in lung tumors can predict how well ICG imaging works during surgery, helping personalize treatment.

## Contribution

The discovery that macrophage content is a novel predictive biomarker for ICG imaging efficacy in lung cancer.

## Key findings

- Macrophages store seven-fold more ICG than cancer cells, acting as the main ICG reservoirs.
- Solid nodules show better ICG uptake than ground-glass nodules due to higher macrophage infiltration.
- Preoperative SUVmax on PET-CT correlates with TNR, suggesting a way to predict ICG-guided surgery outcomes.

## 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.

Indocyanine Green (ICG)‐guided lung cancer surgery efficacy varies significantly among patients. This study identifies tumor macrophage content as a predictive biomarker. Macrophages are primary ICG reservoirs, storing seven‐fold more ICG than cancer cells. Clinically, solid nodules absorb ICG better than ground‐glass nodules due to their higher macrophage content. Preoperative macrophage assessment enables patient selection for personalized surgical optimization.

## Linked entities

- **Chemicals:** indocyanine green (PubChem CID 5282412), ICG (PubChem CID 5282412)
- **Diseases:** lung cancer (MONDO:0005138)

## Full-text entities

- **Diseases:** Lung Cancer (MESH:D008175), cancer (MESH:D009369)
- **Chemicals:** ICG (MESH:D007208)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12533320/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12533320/full.md

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Source: https://tomesphere.com/paper/PMC12533320