Evidence map›Paper›PMID 41444619›Full record

ArticleJournal of translational medicine2025

Macrophages in tertiary lymphoid structures promote apoptosis of ATF4-positive gastric cancer cells via IL18.

Lu Zhou, Xuelong Li, Junming Wu, Tianqing Zheng, Manru Lin, Yangjian Ou, Hong Zhou, Steven Mo, Xueqiong Han, Jinyu Xiang and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Lu Zhou *Department of Oncology, The Fifth Affiliated Hospital of Guangxi Medial University, Nanning, China.
Xuelong Li *Department of Clinical Nutrition, Yantai Yuhuangding Hospital, Yantai, Shandong, 264001, China.
Junming WuDepartment of Intelligent Exploration for Drug Innovation Research, YuanDong International Academy Of Life Sciences, Hong Kong, 999077, China.
Tianqing ZhengDepartment of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangxi Medial University, Nanning, China.
Manru LinDepartment of Oncology, Xianhu Campus of the First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning, China.
Yangjian OuDepartment of Oncology, Xianhu Campus of the First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning, China.
Hong ZhouDepartment of Oncology, Xianhu Campus of the First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning, China.
Steven MoDepartment of Intelligent Exploration for Drug Innovation Research, YuanDong International Academy Of Life Sciences, Hong Kong, 999077, China.
Xueqiong HanDepartment of Oncology, Xianhu Campus of the First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning, China. hanxueqiong@stu.gxmu.edu.cn.
Jinyu XiangDepartment of Oncology, Yantai Yuhuangding Hospital, Yantai, Shandong, 264001, China. kiwi2010@163.com.
Wenjing GongDepartment of Oncology, Yantai Yuhuangding Hospital, Yantai, Shandong, 264001, China. gongwenjing@qdu.edu.cn.

Funding

Medical and Health Science and Technology Development Program of Shandong Province Grant No. 202303110610
6 · The paper itself

Abstract

backgroundGastric cancer (GC) is a globally prevalent and highly fatal malignancy of the digestive system. Despite its transformative role in gastric cancer, immunotherapy’s efficacy is limited by the complexity and incomplete understanding of the heterogeneous tumor microenvironment, necessitating a deeper analysis to uncover mechanisms of resistance.

methodWe analyzed the immune response status of GC patients and generated a single-cell transcriptome landscape of GC patients under various immunotherapy regimens. Dynamic changes in prognosis, biological functions, developmental trajectories, transcription factors, and intercellular communication among different cell subpopulations were assessed. To complement our computational exploration and provide histological validation, we also collected gastric cancer tissues from two patients who responded to immunotherapy. Hematoxylin and eosin staining and immunofluorescence experiments were performed on these tissues to confirm the pathological features and the spatial distribution of key immune cells identified in our single-cell analysis.

resultsOur study highlighted that PDIA6 in APOA1 + PDIA6 + GC activated the PPAR signaling pathway by increasing APOA1 expression through RNA-binding protein (RBP) action. Given the established role of the PPAR pathway in promoting lipid metabolism and cell proliferation, this activation likely provides a survival and growth advantage to this GC subpopulation. CYP3A5 + GC exhibited a unique metabolic pattern supporting tumor survival and resistance to immunotherapy. In clinical samples with effective immunotherapy, tertiary lymphoid structures showed expression of CD68 and IL18. IL18 + macrophages potentially influenced ATF4 + GC cells via the cytokine signaling axis, promoting immune infiltration. Apoptotic tumor cells were more enriched in the immune-responsive group compared to the immune-unresponsive subgroup. Furthermore, cancer-associated fibroblasts reprogrammed the tumor microenvironment by targeting endothelial cells with CTGF-ITGA5 and immune cells with CTGF-ITGB2. Within the XCL1 + NR4A2 + effector CD8 + T cell subpopulation, NR4A2 transcriptionally regulated the expression of XCL1 and effector genes through negative feedback loop, consequently inhibiting inflammatory pathways and the body’s antitumor immune response.

conclusionOur findings delineate the cellular composition of the tumor microenvironment in GC patients based on GSE183904, significantly advancing the analysis of distinct immune responses in these patients. This study contributes to a comprehensive understanding of immunotherapy efficacy and proposes novel biomarker-driven strategies for patient stratification and targeted therapy in GC.

Indexed as

Activating Transcription Factor 4ApoptosisMacrophagesStomach NeoplasmsTertiary Lymphoid StructuresCell Line, TumorGene Expression Regulation, NeoplasticHumansImmunotherapySignal TransductionTumor MicroenvironmentActivating Transcription Factor 4ATF4 protein, humanGastric cancerImmunotherapyIntercellular communicationSingle-cell RNA sequencingTumor microenvironment

Identifiers

PMID41444619
PMCPMC12884617

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.