Precise diagnosis of small invasive pulmonary nodules driven by single-cell immune signatures in peripheral blood
Early detection of lung cancer is crucial for improving patient outcomes. However, accurately diagnosing invasive pulmonary nodules and predicting tumor invasiveness remain major clinical challenges. Given the established role of immune dysfunction in cancer development, we hypothesize that peripheral immune profiling could provide a strategy for managing pulmonary nodules. In this multi-center, prospective study, we combine peripheral immune profiling via mass cytometry with machine learning algorithms to develop an integrated pulmonary nodule management platform. This platform accurately distinguishes invasive from non-invasive pulmonary nodules (AUC = 0.952), outperforming established clinical and radiomics-based models. Furthermore, it effectively predicts tumor invasiveness, differentiating minimally invasive from invasive adenocarcinoma (AUC = 0.949), thereby offering valuable guidance for surgical decision-making. In conclusion, the platform demonstrates substantial clinical utility and holds significant promise as a precision tool for future management of pulmonary nodules.
Authors
- Guanxin Xu
- Xiuning Le (ORCID: https://orcid.org/0000-0002-8554-1185)
- Hongyu Shi (ORCID: https://orcid.org/0000-0002-0967-4285)
- Tony S.K. Mok (ORCID: https://orcid.org/0000-0002-8251-0551)
- Yang Xia (ORCID: https://orcid.org/0000-0003-2487-2244)
- Jiaqi Zhou (ORCID: https://orcid.org/0000-0002-9285-8914)
- Mo Zhou (ORCID: https://orcid.org/0000-0002-0416-9132)
- Weiwei Yin (ORCID: https://orcid.org/0000-0001-9142-6186)
- Wen Li (ORCID: https://orcid.org/0000-0002-8981-8380)
- Yin Zhu (ORCID: https://orcid.org/0000-0001-9657-484X)
- Wei Chen (ORCID: https://orcid.org/0000-0001-5366-7253)
- Sai Zhang (ORCID: https://orcid.org/0000-0002-4128-4797)
- Bin Wang (ORCID: https://orcid.org/0000-0001-6357-048X)
- Guofei Zhang (ORCID: https://orcid.org/0000-0003-4295-7903)
- Zexin Chen (ORCID: https://orcid.org/0000-0002-2685-4501)
- Junqiang Fan (ORCID: https://orcid.org/0000-0002-6502-2556)
- Bai-Qin Zhao (ORCID: https://orcid.org/0000-0003-3097-3893)
- Qiyuan Wang (ORCID: https://orcid.org/0009-0006-7163-1792)
Institutions
- Ministry of Education (NZ)
- The University of Texas MD Anderson Cancer Center (US)
- Chinese University of Hong Kong (HK)
- Zhejiang Cancer Hospital (CN)
- Huzhou Central Hospital (CN)
- Zhejiang Lab (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Zhejiang University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1038/s41467-025-65930-6
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China