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Prognostic patterns in invasion lymph nodes of lung adenocarcinoma reveal distinct tumor microenvironments

Authors :
Shen Lao
Zisheng Chen
Wei Wang
Yongmei Zheng
Shan Xiong
Ping He
Huan Yi
Jianfu Li
Feng Li
Shuting Li
Miao He
Xiaoyan Liu
Chuang Qi
Jianxing He
Wenhua Liang
Source :
npj Precision Oncology, Vol 8, Iss 1, Pp 1-15 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Tumor-draining lymph nodes (TDLNs) are usually the first station of tumor metastasis in lung cancer. TDLNs+ have distinct pathomorphologic and tumor microenvironment (TME)-compositional patterns, which still need to be thoroughly investigated in lung adenocarcinoma (LUAD). Here, we enrolled 312 LUAD patients with TDLNs+ from our institution between 2015 and 2019. 3DHISTECH was used to scan all of the TDLNs+. Based on morphologic features, TDLNs+ patterns were classified as polarized-type or scattered-type, and TME-compositional patterns were classified as colloid-type, necrosis-type, specific-type, and common-type. Multivariate analysis revealed an increased risk of early recurrence associated with scattered-type (HR 2.37, 95% CI: 1.06–5.28), colloid-type (HR 1.95, 95% CI: 1.03–3.67), and necrosis-type (HR 2.21, 95% CI: 1.13–4.89). NanoString transcriptional analysis revealed an immunosuppression and vascular invasion hallmark in scattered and necrosis patterns and an immunoactivated hallmark in polarized and common patterns. According to imaging mass cytometry (IMC), the scattered and necrosis patterns revealed that germinal centers (GC) were compromised, GCB cell and T cell proliferation were deficient, tumor cells had the potential for proliferation, and the immune attack may be weaker. In this study, we present evidence that LUAD patients have distinct patterns and immune hallmarks of TDLNs+ related to their prognosis.

Details

Language :
English
ISSN :
2397768X
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Precision Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.9f9065b3ac84acaaa582c8ec387a05e
Document Type :
article
Full Text :
https://doi.org/10.1038/s41698-024-00639-1