The spatial landscape of T cells in the microenvironment of stage III lung adenocarcinoma

Author:

Zeng Ziqing12345,Du Weijiao34567,Yang Fan34567,Hui Zhenzhen34567,Wang Yunliang23456,Zhang Peng23456,Zhang Xiying23456,Yu Wenwen23456,Ren Xiubao23456,Wei Feng23456ORCID

Affiliation:

1. Department of Nuclear Medicine, State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration) Peking University Cancer Hospital & Institute Beijing PR China

2. Department of Immunology Tianjin Medical University Cancer Institute and Hospital Tianjin PR China

3. National Clinical Research Center for Cancer Tianjin PR China

4. Key Laboratory of Cancer Prevention and Therapy Tianjin PR China

5. Tianjin's Clinical Research Center for Cancer Tianjin PR China

6. Key Laboratory of Cancer Immunology and Biotherapy Tianjin PR China

7. Department of Biotherapy Tianjin Medical University Cancer Institute and Hospital Tianjin PR China

Abstract

AbstractThis study aimed to provide more information for prognostic stratification for patients through an analysis of the T‐cell spatial landscape. It involved analyzing stained tissue sections of 80 patients with stage III lung adenocarcinoma (LUAD) using multiplex immunofluorescence and exploring the spatial landscape of T cells and their relationship with prognosis in the center of the tumor (CT) and invasive margin (IM). In this study, multivariate regression suggested that the relative clustering of CT CD4+ conventional T cell (Tconv) to inducible Treg (iTreg), natural regulatory T cell (nTreg) to Tconv, terminal CD8+ T cell (tCD8) to helper T cell (Th), and IM Treg to tCD8 and the relative dispersion of CT nTreg to iTreg, IM nTreg to nTreg were independent risk factors for DFS. Finally, we constructed a spatial immunological score named the GT score, which had stronger prognostic correlation than IMMUNOSCORE® based on CD3/CD8 cell densities. The spatial layout of T cells in the tumor microenvironment and the proposed GT score can reflect the prognosis of patients with stage III LUAD more effectively than T‐cell density. The exploration of the T‐cell spatial landscape may suggest potential cell–cell interactions and therapeutic targets and better guide clinical decision‐making. © 2024 The Pathological Society of Great Britain and Ireland.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin Municipality

Publisher

Wiley

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