ArticleBiological procedures online2026
Single-Cell RNA Sequencing Identifies a Distinct Epithelial Subpopulation Driving Resistance to Neoadjuvant Chemoimmunotherapy in Esophageal Squamous Cell Carcinoma.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.