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Cancer-associated fibroblasts promote esophageal carcinogenesis and lung metastasis by CDH11-mediated extracellular matrix environment remodeling [RNA-Seq]

GSE309393 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2025/09/29 Platform GPL34281
Summary
Lung metastasis is a major cause of death in patients with esophageal squamous cell carcinoma (ESCC) and its tumor microenvironment (TME) is highly complex; however, the molecular mechanisms of ESCC lung metastasis are unclear. In this study, the first comprehensive single-cell atlas of ESCC lung metastasis is established using single-cell RNA sequencing of 11 patient samples. The findings highlight the dynamic evolutionary patterns of the TME and distinct characteristics of key cellular subpopulations. The immune microenvironment exhibited significant alterations, with a subpopulation of pro-carcinogenic cancer-associated fibroblasts (CAFs) in primary ESCC foci and lung metastases. Notably, calreticulin CDH11 is exclusively expressed in these CAFs and upregulated in conjunction with lung metastasis of ESCC. CDH11 modulates the AKT-related signaling pathway through its interaction with FGFR1, influencing CAF-mediated extracellular matrix remodeling, thereby facilitating metastatic progression. Application of the CDH11 inhibitor, celecoxib, presents a promising new strategy for targeting lung metastasis in ESCC. The molecular mechanisms underlying the lung metastatic microenvironment of ESCC, which are expected to improve the molecular typing accuracy of ESCC lung metastasis to the single-cell level contribute to the development of a precision therapeutic system based on the modulation of the stromal microenvironment, with significant clinical translational potential.
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Direct links to NCBI, no account and no request form: the whole study as GSE309393_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1335417 and SRA study SRP628962. Searching any of these in the dataset finder brings you back here.

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