ScRNA-seq revealed the tumor microenvironment heterogeneity related to the occurrence and metastasis in upper urinary tract urothelial carcinoma

Xin, Shiyong; Zhang, Yanwei; Zhang, Zhenhua; Li, Ziyao; Sun, Xianchao; Liu, Xiang; Jin, Liang; Li, Weiyi; Tang, Chaozhi; Mei, Wangli; Cao, Qiong; Wang, Haojie; Wei, Zhihao; Zhou, Zhen; Li, Rongbing; Wen, Xiaofei; Yang, Guosheng; Chen, Weihua; Zheng, Junhua; Ye, Lin

doi:10.1038/s41417-024-00779-3

Cancer Gene Ther

2024

DOI: 10.1038/s41417-024-00779-3

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ScRNA-seq revealed the tumor microenvironment heterogeneity related to the occurrence and metastasis in upper urinary tract urothelial carcinoma

Shiyong Xin,

Yanwei Zhang,

Zhenhua Zhang

et al.

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Cited by 2 publications

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Single-cell expression and immune infiltration analysis of polyamine metabolism in breast cancer

Zhang,

Guo,

et al. 2024

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Breast cancer is one of the most threatening women health diseases worldwide and its molecular heterogeneity offers a range of response to therapy. The role of polyamine metabolism is receiving increasing attention. Polyamine metabolism not only plays an important role in the occurrence and development of breast cancer, but also interacts with tumor immune microenvironment. In this work, we applied single-cell RNA-sequencing (scRNA-seq) and systems immunological approaches to interrogate immune cell infiltration gene-to-gene co-expressions in the bulk tumor transcriptomes of breast cancer. We acquired breast cancer sample data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), evaluated the infiltration status of 22 immune cell types using CIBERSORTx tool, respectively. By leveraging the Retrospective Breast sample of various technologies including gene expression and methylation, we identified 46 breast cancer proliferation-associated co-expression modules using weighted gene coexpression network analysis (WGCNA) approach along with machine learning models which in turn delineated single cell level expressions features that these selected module possessed. We observed substantial cellular heterogeneity in the breast cancer microenvironment, where lineage-specific gene expression patterns were highly associated with tumor progression. Moreover, we also identified the gene modules correlated with immune cell infiltration level that could function as regulators in response to tumors for immune therapy. Moreover, risk scores were correlated with immune cell function in different patient groups defined by high- and low-risk. The findings of this study shed a new light upon molecular classification prognostic assessment and personalized treatment in breast cancer.

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Single-cell expression and immune infiltration analysis of polyamine metabolism in breast cancer

Zhang,

Guo,

et al. 2024

Discov Onc

View full text Add to dashboard Cite

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Geneticsbiologiesingle cell and expression analysis for erectile dysfunction and cervical cancer targets

Zhao,

Li,

Liu

et al. 2024

Discov Onc

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ScRNA-seq revealed the tumor microenvironment heterogeneity related to the occurrence and metastasis in upper urinary tract urothelial carcinoma

Cited by 2 publications

References 58 publications

Single-cell expression and immune infiltration analysis of polyamine metabolism in breast cancer

Single-cell expression and immune infiltration analysis of polyamine metabolism in breast cancer

Geneticsbiologiesingle cell and expression analysis for erectile dysfunction and cervical cancer targets

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