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Integrated single-cell RNA sequencing analysis reveals a mesenchymal stem cell-associated signature for estimating prognosis and drug sensitivity in gastric cancer

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Abstract

Background

Mesenchymal stem cells (MSCs) play an important role in regulating all stages of the immune response, angiogenesis, and transformation of matrix components in the tumor microenvironment. The aim of this study was to identify the prognostic value of MSC-related signatures in patients with gastric cancer (GC).

Methods

MSC marker genes were identified by analyzing single-cell RNA sequencing (scRNA-seq) data for GC from the Gene Expression Omnibus (GEO) database. Using bulk sequencing data from the Cancer Genome Atlas-Stomach adenocarcinoma (TCGA-STAD), as a training cohort, and data from GEO, as a validation cohort, we developed a risk model consisting of MSC prognostic signature genes, and classified GC patients into high- and low-MSC risk subgroups. Multifactorial Cox regression was used to evaluate whether MSC prognostic signature was an independent prognostic factor. An MSC nomogram was constructed combining clinical information and risk grouping. Subsequently, we evaluated the effect of MSC prognostic signature on immune cell infiltration, antitumor drugs and immune checkpoints and verified the expression of MSC prognostic signature by in vitro cellular assays.

Results

In this study, 174 MSC marker genes were identified by analyzing scRNA-seq data. We identified seven genes (POSTN, PLOD2, ITGAV, MMP11, SDC2, MARCKS, ANXA5) to construct MSC prognostic signature. MSC prognostic signature was an independent risk factor in the TCGA and GEO cohorts. GC patients in the high-MSC risk group had worse prognoses. In addition, the MSC nomogram has a high clinical application value. Notably, the MSC signature can induce the development of a poor immune microenvironment. GC patients in the high MSC-risk group were more sensitive to anticancer drugs and tended to have higher levels of immune checkpoint markers. In qRT-PCR assays, the MSC signature was more highly expressed in GC cell lines.

Conclusions

The MSC marker gene-based risk signature developed in this study can not only be used to predict the prognosis of GC patients, but also has the potential to reflect the efficacy of antitumor therapies

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Data availability

The scRNA-seq(GSE163558) and bulk sequencing(GSE15459) data from this study are available in the GEO (https://www.ncbi.nlm.nih.gov/geo/) and TGCA (https://portal.gdc.cancer.gov/) databases,other data were obtained from corresponding authors upon reasonable request.

References

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Funding

This study was supported by the Pang Dexiang Famous Veteran Chinese Medicine Specialist Inheritance Studio (2A12012014) and the Zhejiang Provincial Traditional Chinese Medicine Science and Technology Programme Projects (2021ZB128).

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Authors

Contributions

GWC and SKY designed the research, SKY and CBY wrote the manuscript, SKY and CBY performed the in vitro experiments, GWC and SKY analyzed and interpreted the data. All authors contributed to this work.

Corresponding author

Correspondence to Wencang Gao.

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The authors declare that they have no conflict of interest.

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Shen, K., Chen, B. & Gao, W. Integrated single-cell RNA sequencing analysis reveals a mesenchymal stem cell-associated signature for estimating prognosis and drug sensitivity in gastric cancer. J Cancer Res Clin Oncol 149, 11829–11847 (2023). https://doi.org/10.1007/s00432-023-05058-6

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  • DOI: https://doi.org/10.1007/s00432-023-05058-6

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