Evidence map›Paper›PMID 42196406›Full record

ArticleInternational journal of molecular sciences2026

Deciphering the Transcription Factor-Dominated Ecosystem During Esophageal Squamous Cell Carcinoma Progression at the Single-Cell Level.

Congxue Hu, Xinyu Li, Weixin Liang, Shujuan Li, Xiaozhi Huang, Jing Chen, Kaiyue Yang, Xia Li, Yunpeng Zhang, Jing Bai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 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

10 authors.

Congxue HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xinyu LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Weixin LiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shujuan LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xiaozhi HuangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jing ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Kaiyue YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-9794-2648
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-3709-3656
Jing BaiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0003-4336-8967

Funding

China Postdoctoral Science Foundation 2024M760709Heilongjiang Chunyan Youth Science and Technology Talent Team Project CYQN24009Heilongjiang Touyan Innovation Team Program NANational Natural Science Foundation of China 62102123National Natural Science Foundation of China 62172131National Natural Science Foundation of China 62472131National Natural Science Foundation of China U23A20166National Science and Technology Major Program 2024ZD0530500
6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) progression involves dynamic cellular state transitions and tumor microenvironment remodeling, accompanied by extensive transcriptional regulation reprogramming. Here, we systematically mapped the TF-mediated regulatory landscape underlying ESCC progression at single-cell resolution by integrating stage-specific ESCC single-cell transcriptomic datasets comprising over 200,000 cells with TF-target interaction networks. Using a random walk algorithm combined with hypergeometric testing, we identified malignant progression-associated TFs (mpTFs) across multiple cell types and disease stages. Our analysis revealed extensive stage-dependent regulatory remodeling during ESCC progression. TCF4 was identified as an early-stage regulator associated with epithelial-mesenchymal transition activation and malignant invasive phenotypes. In immune lineages, BATF and IRF4 exhibited trajectory-associated activation during

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaTranscription FactorsDisease ProgressionEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor MicroenvironmentTranscription Factorsesophageal squamous cell carcinomagene regulatory networksingle-cell RNA sequencingtranscription factor regulationtumor microenvironment

Identifiers

PMID42196406
PMCPMC13206960

What OpenQuestion holds

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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.