Deciphering STAT3’s negative regulation of LHPP in ESCC progression through single-cell transcriptomics analysis

This investigation underscores the central role of STAT3 as a regulator in ESCC, directly impacting LHPP expression and suggesting a regulatory loop crucial for tumor behavior. The insights gained from our comprehensive cellular and molecular analysis offer a deeper understanding of the dynamics within the ESCC microenvironment. These findings pave the way for targeted therapeutic interventions focusing on the STAT3-LHPP axis, providing a strategic approach to improve ESCC management and prognosis.

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Publication Details

Journal
Molecular Medicine
Published
2024-10-28
DOI
https://doi.org/10.1186/s10020-024-00962-0
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.23

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article

Deciphering STAT3’s negative regulation of LHPP in ESCC progression through single-cell transcriptomics analysis

Xiang Zhao, Ronghuai Chen, Luoshai Wang, Zemao Zheng et al.
1 citations
Molecular Medicine
Single-cell and spatial transcriptomics
0.23
article

Deciphering STAT3’s negative regulation of LHPP in ESCC progression through single-cell transcriptomics analysis

Xiang Zhao, Ronghuai Chen, Luoshai Wang, Zemao Zheng, Juan Yao, Yurao Chen, Ming He, Liyan Jin
article en
1 citations

Abstract

This investigation underscores the central role of STAT3 as a regulator in ESCC, directly impacting LHPP expression and suggesting a regulatory loop crucial for tumor behavior. The insights gained from our comprehensive cellular and molecular analysis offer a deeper understanding of the dynamics within the ESCC microenvironment. These findings pave the way for targeted therapeutic interventions focusing on the STAT3-LHPP axis, providing a strategic approach to improve ESCC management and prognosis.

Molecular MedicineVol. 30(1)
Jiangsu University (CN), Xuzhou Medical College (CN), Huaian First People’s Hospital (CN)
Jiangsu Commission of Health
Good health and well-being
Openalex Percentile: Top 41%
Single-cell and spatial transcriptomics
0.23
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