Evidence map›Paper›PMID 42449683›Full record

ArticleCancers2026

Spatial Transcriptomics of Immune Cell Distribution in Non-Small Cell Lung Cancer Identifies Tertiary Lymphoid Structures and Its Density and Area Fraction Were Associated with Neoadjuvant Therapy Response.

Zelin Jin, Ziqiang Chen, Dongxian Jiang, Yingyong Hou, Yun Liu

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zelin JinMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Ziqiang ChenMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, Shanghai Xuhui Central Hospital, Fudan University, Shanghai 200031, China.
Dongxian JiangDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yingyong HouDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yun LiuMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, Shanghai Xuhui Central Hospital, Fudan University, Shanghai 200031, China.ORCID 0000-0001-5753-1265

Funding

National Natural Science Foundation of China 82171837
6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related mortality worldwide over the past decade. Single-cell sequencing loses spatial location information and potential cell-cell interactions, making it difficult to interpret molecular features or biological phenomena. Tertiary lymphoid structures (TLSs) inherently require such spatial immune cell distribution information. Although associations between TLS and response to immune checkpoint inhibitors (ICIs) or chemotherapy have been reported, the relationship between TLS and neoadjuvant therapy (ICI combined with chemotherapy) remains unclear.

methodsWe performed spatial transcriptomics on NSCLC samples (including one lung squamous cell carcinoma (LUSC) and one lung adenocarcinoma (LUAD)). Multiplex immunohistochemistry (mIHC) was used to identify the TLS, while immunohistochemistry staining (IHC) was used to identify the TLS status and cell characteristics. We evaluated the associations between (mature) TLS density, area proportion and patients' responses in 66 patients.

resultsHeterogeneity of immune cells in NSCLC was found. Gene ontology analysis and cell score comparison identified TLS with activated B and T cells inside, while plasma cells and macrophages were mainly distributed outside TLS. Four genes from antigen-presenting machinery (TAP1, TAP2, B2M, TAPBP) were more highly expressed inside TLS than outside them. Also, TLS exhibited heterogeneity, with both mature and immature TLS. Mature TLS showed an average area of 62,387.43 μm

conclusionsSpatial transcriptomics reveals immune cell heterogeneity and distribution patterns in the NSCLC tumor bed, with activated B and T cells localized inside and plasma cells/macrophages outside. Antigen-presenting machinery (APM)-related genes were highly expressed in TLS accompanied by a high expression of upstream and downstream genes of MHC class I. mTLS have a larger area by mainly containing more B cells. The responder group had a significantly higher (mature) TLS density and larger (mature) TLS area proportion compared with the non-responder group, suggesting their potential function in anti-tumor effect in neoadjuvant treatment.

Indexed as

neoadjuvant treatmentnon-small cell lung cancer (NSCLC)spatial transcriptomicstertiary lymphoid structure (TLS)

Identifiers

PMID42449683
PMCPMC13359995

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