Evidence map›Paper›PMID 40936936›Full record

ArticleFrontiers in immunology2025

Targeted and personalized immunotherapy in lung adenocarcinoma: single-cell RNA sequencing of

Xiangsong Cheng, Shu Chen, Yilong Fu, Runze Jiang, Yanlong Jing, Bizhu Zhao, Dong Guo, Liangyu Wang, Zi Ye, Yumeng Li and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiangsong Cheng *Department of Respiratory Medicine, Heart Center, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital & Central China Branch of National Center for Cardiovascular Diseases, Zhengzhou, Henan, China.
Shu Chen *School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China.
Yilong Fu *Clinical Medicine, The First Clinical School of Zhengzhou University, Zhengzhou, Henan, China.
Runze JiangShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Yanlong JingSchool of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China.
Bizhu ZhaoClinical Medicine, The First Clinical School of Zhengzhou University, Zhengzhou, Henan, China.
Dong GuoClinical Medicine, The First Clinical School of Zhengzhou University, Zhengzhou, Henan, China.
Liangyu WangClinical Medicine, The First Clinical School of Zhengzhou University, Zhengzhou, Henan, China.
Zi YeDepartment of Scientific Research, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yumeng LiShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Xianliang ChenDepartment of Respiratory Medicine, Heart Center, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital & Central China Branch of National Center for Cardiovascular Diseases, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-small cell lung cancer (NSCLC) was a major cause of cancer-related mortality globally. Despite advancements in immunotherapy and targeted therapies, clinical outcomes were still limited by tumor heterogeneity and treatment resistance. The transcription factor (TF) FOS, a key component of the AP-1 complex, was linked to tumor progression and therapy resistance in various cancers, but its precise mechanisms remained unclear, and its role in lung adenocarcinoma (LUAD) was unknown. We investigated the tumor microenvironment (TME) of LUAD using single-cell RNA sequencing (scRNA-seq) to identify potential therapeutic vulnerabilities and Methods: We identified fourteen cell types by analyzing scRNA-seq data from LUAD samples (GSE164789) using Seurat (v4.4.0) and Harmony for batch correction. InferCNV was utilized to characterize the tumor cell subtypes after they were clustered using marker genes. CytoTRACE and Monocle were used to create pseudotime trajectories in order to map differentiation states. CellChat revealed intercellular communication networks, while SCENIC identified TF regulatory modules. The CCK-8, Edu, Transwell, and wound healing assays showed that Results: We discovered that invasive LUAD was dominated by a highly stem-like C0 Conclusion: Our studies show that

Indexed as

Adenocarcinoma of LungImmunotherapyLung NeoplasmsProto-Oncogene Proteins c-fosCell Line, TumorGene Expression Regulation, NeoplasticHumansPrecision MedicineSequence Analysis, RNASingle-Cell AnalysisTumor MicroenvironmentFOS protein, humanProto-Oncogene Proteins c-fosdrug sensitivityFOSimmunotherapylung adenocarcinomaMAFFtumor microenvironment

Identifiers

PMID40936936
PMCPMC12420628

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