Evidence map›Paper›PMID 41998494›Full record

ArticleBiological procedures online2026

Single-Cell RNA Sequencing Identifies a Distinct Epithelial Subpopulation Driving Resistance to Neoadjuvant Chemoimmunotherapy in Esophageal Squamous Cell Carcinoma.

Zuoyu Chen, Xin Yu, Kaili Liu, Yiping Zou, Xue Ding, Xiaolong Zhang, Liangliang Wu, Qiang Song, Hailong Wang

Abstract read
In one paragraph

Article in Biological procedures online, 2026. 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
0cells of the map it votes in
0citing 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

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

9 authors.

Zuoyu Chen *Department of Minimally Invasive Esophageal Surgery, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China. chenzuoyu24@tmu.edu.cn.
Xin Yu *Department of Minimally Invasive Esophageal Surgery, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Kaili Liu *Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Yiping ZouDepartment of Pulmonary Surgery, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, China.
Xue DingBaotou Medical College of Inner Mongolia University of Science and Technology, BaoTou, Inner Mongolia, China.
Xiaolong ZhangTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Liangliang WuDepartment of Gastric Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China. wuliangliang830906@126.com.
Qiang SongDepartment of General Surgery, Baotou Central Hospital, 61 Huancheng Road, Baotou, Inner Mongolia, China. btszxyysq@163.com.
Hailong WangDepartment of Minimally Invasive Esophageal Surgery, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China. whailong1983@126.com.

Funding

The Science & Technology Development Fund of Tianjin Education Commission for Higher Education 2022KJ218
6 · The paper itself

Abstract

backgroundTo investigate the role and mechanism of the transcription factor ETS2 in mediating resistance to neoadjuvant immunotherapy combined with chemotherapy in esophageal squamous cell carcinoma (ESCC).

methodsSingle-cell RNA sequencing (scRNA-seq) was performed on tumor tissues from ESCC patients who received neoadjuvant therapy. Integrated analyses were conducted using clinical information, genomic and transcriptomic data from public databases (TCGA) and a single-center patient cohort. Weighted gene co-expression network analysis (WGCNA) was employed to identify senescence-associated gene modules. The association between ETS2 expression and cellular senescence or signaling pathway activity was evaluated using gene set enrichment analysis (GSEA) and computational scoring of senescence-related gene sets.

resultsETS2-high epithelial cells were localized at the terminal end of the differentiation trajectory inferred by pseudotime analysis and were enriched in tumors with poor treatment response. ETS2 was highly expressed in ESCC tumor tissues and significantly associated with adverse patient outcomes. Transcriptomic analysis (TCGA) demonstrated significant enrichment of TGF-β in the ETS2-high group. WGCNA identified a senescence-associated “coral” gene module, whose expression was significantly correlated with patient age and induced senescence gene set scores, and exhibited the strongest association with senescence among all modules.

conclusionHigh expression of ETS2 in ESCC predicts poor prognosis and resistance to neoadjuvant therapy. Its mechanism may involve inducing a senescent state in tumor cells and promoting aggressive tumor behavior through activation of key signaling pathways such as TGF-β. The “coral” module identified by WGCNA represents a critical senescence-related gene signature in ESCC.

Indexed as

Cellular SenescenceESCCETS2ResistancescRNA-seq

Identifiers

PMID41998494
PMCPMC13220492

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.