Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer
This study is the first to use DSP to analyze spatial transcriptomic profiles of NSCLC tumor nests and air space tumors, and it identifies potential module features that may be used for STAS identification and prognosis.
Authors
- Siwei Xu (ORCID: https://orcid.org/0000-0002-2828-3706)
- Haitao Luo (ORCID: https://orcid.org/0000-0001-9795-5900)
- Guang Yang (ORCID: https://orcid.org/0000-0003-1688-515X)
- Jing‐Li Fan (ORCID: https://orcid.org/0000-0003-2371-5845)
- Wenhao Wang (ORCID: https://orcid.org/0000-0003-4171-1821)
- Tao Jiang (ORCID: https://orcid.org/0000-0002-9205-8183)
- Congcong Song
- Wenhao Zhou (ORCID: https://orcid.org/0000-0002-2672-0052)
- Huining Liu
Institutions
- Hebei Medical University (CN)
- First Affiliated Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-07-25
- DOI
- https://doi.org/10.3389/fphar.2025.1567527
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- Health Commission of Hebei Province