Evidence map›Paper›PMID 39033271›Full record

ArticleJournal of translational medicine2024

Tumor necrosis factor receptor 2 promotes endothelial cell-mediated suppression of CD8+ T cells through tuning glycolysis in chemoresistance of breast cancer.

Yu Hu, Xiaohan Lou, Kaili Zhang, Longze Pan, Yueyue Bai, Linlin Wang, Ming Wang, Yan Yan, Jiajia Wan, Xiaohan Yao and 3 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yu Hu *Henan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Xiaohan Lou *Henan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Kaili ZhangHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Longze PanHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Yueyue BaiHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Linlin WangHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Ming WangHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Yan YanHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Jiajia WanHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Xiaohan YaoHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Xixi DuanHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Chen NiHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. nichen904@163.com.
Zhihai QinHenan China-Germany International Joint Laboratory of Tumor Immune Microenvironment and Disease, Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. zhihai@ibp.ac.cn.ORCID 0000-0001-9793-7964

Funding

Key Project of Medical Science and Technology of Henan Province 232102311050Key Project of Medical Science and Technology of Henan Province SBGJ202302037Key Project of Medical Science and Technology of Henan Province YQRC2023005National Natural Science Foundation of China 32370973National Natural Science Foundation of China 82073231National Natural Science Foundation of China 82372911
6 · The paper itself

Abstract

backgroundT cells play a pivotal role in chemotherapy-triggered anti-tumor effects. Emerging evidence underscores the link between impaired anti-tumor immune responses and resistance to paclitaxel therapy in triple-negative breast cancer (TNBC). Tumor-related endothelial cells (ECs) have potential immunoregulatory activity. However, how ECs regulate T cell activity during TNBC chemotherapy remains poorly understood.

methodsSingle-cell analysis of ECs in patients with TNBC receiving paclitaxel therapy was performed using an accessible single-cell RNA sequencing (scRNA-seq) dataset to identify key EC subtypes and their immune characteristics. An integrated analysis of a tumor-bearing mouse model, immunofluorescence, and a spatial transcriptome dataset revealed the spatial relationship between ECs, especially Tumor necrosis factor receptor (TNFR) 2+ ECs, and CD8+ T cells. RNA sequencing, CD8+ T cell proliferation assays, flow cytometry, and bioinformatic analyses were performed to explore the immunosuppressive function of TNFR2 in ECs. The downstream metabolic mechanism of TNFR2 was further investigated using RNA sequencing, cellular glycolysis assays, and western blotting.

resultsIn this study, we identified an immunoregulatory EC subtype, characterized by enhanced TNFR2 expression in non-responders. By a mouse model of TNBC, we revealed a dynamic reduction in the proportion of the CD8+ T cell-contacting tumor vessels that could co-localize spatially with CD8+ T cells during chemotherapy and an increased expression of TNFR2 by ECs. TNFR2 suppresses glycolytic activity in ECs by activating NF-κB signaling in vitro. Tuning endothelial glycolysis enhances programmed death-ligand (PD-L) 1-dependent inhibitory capacity, thereby inducing CD8+ T cell suppression. In addition, TNFR2+ ECs showed a greater spatial affinity for exhausted CD8+ T cells than for non-exhausted CD8+ T cells. TNFR2 blockade restores impaired anti-tumor immunity in vivo, leading to the loss of PD-L1 expression by ECs and enhancement of CD8+ T cell infiltration into the tumors.

conclusionsThese findings reveal the suppression of CD8+ T cells by ECs in chemoresistance and indicate the critical role of TNFR2 in driving the immunosuppressive capacity of ECs via tuning glycolysis. Targeting endothelial TNFR2 may serve as a potent strategy for treating TNBC with paclitaxel.

Indexed as

CD8-Positive T-LymphocytesDrug Resistance, NeoplasmEndothelial CellsGlycolysisReceptors, Tumor Necrosis Factor, Type IITriple Negative Breast NeoplasmsAnimalsCell Line, TumorFemaleHumansMicePaclitaxelSignal TransductionPaclitaxelReceptors, Tumor Necrosis Factor, Type IICD8+ T cellsChemoresistanceEndothelial cellsPaclitaxelTNFR2Triple negative breast cancer

Identifiers

PMID39033271
PMCPMC11265105

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.