Evidence map›Paper›PMID 42614523›Full record

ArticleFrontiers in immunology2026

Integrative single-nucleus transcriptomic analysis identifies UBE2C+ proliferative tumor cells and immune-stromal regulatory crosstalk in small cell lung cancer.

Hongling Jia, Yongxuan An, Bing Chen, Yuqi Zhang, Yifei Xu, Feilong Guan, Qian Wu, Lili Sun, Yajing Li, Junjie Bi and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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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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

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

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

12 authors.

Hongling Jia *College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yongxuan An *Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Bing Chen *Department of Thoracic Surgery, Anhui Chest Hospital, Hefei, Anhui, China.
Yuqi ZhangDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yifei XuCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Feilong GuanCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Qian WuCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Lili SunCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yajing LiDepartment of Respiratory and Critical Care Medicine, Anhui Public Health Clinical Center, Hefei, Anhui, China.
Junjie BiDepartment of Gerontology, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Xiuli JiGuang'anmen Hospital Jinan Hospital, China Academy of Chinese Medical Sciences, Jinan, China.
Zhanjun QiuDepartment of Gerontology, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized by rapid proliferation, early dissemination, and limited durable benefit from current chemoimmunotherapy. Although immune checkpoint blockade has modestly improved clinical outcomes, the regulatory logic linking malignant cell states to the tumor immune microenvironment remains incompletely understood. Here, we applied an integrative single-nucleus transcriptomic framework to dissect tumor cell heterogeneity, regulatory programs, and immune-stromal communication networks in SCLC. Methods: Publicly available Single-nucleus RNA sequencing data from primary and metastatic SCLC samples were analyzed using Seurat-based clustering, inferCNV-based malignant cell identification, differential expression analysis, pathway enrichment, metabolic and stemness scoring, pseudotime trajectory reconstruction, CellChat-mediated cell-cell communication inference, and transcription factor regulatory module analysis. A Results: Using snRNA-seq, we identified multiple cell types and resolved a Conclusions: This study identified

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaTranscriptomeUbiquitin-Conjugating EnzymesCell CommunicationCell Line, TumorCell NucleusCell ProliferationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell Gene Expression AnalysisStromal CellsTumor MicroenvironmentUBE2C protein, humanUbiquitin-Conjugating Enzymescancer-immunity regulomecell-cell communicationimmune-stromal crosstalksingle-nucleus RNA sequencingsmall cell lung cancerUBE2C

Identifiers

PMID42614523
PMCPMC13481786

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