Cervical Cancer Single-Cell Transcriptomic Atlas for Immunotherapy

9.5 KB Excel file contains a high-resolution single-cell transcriptomic atlas of the cervical cancer tumor microenvironment. The data, authored by Fei Zhu, explores how PIK3CA mutations remodel the immune landscape and sensitize tumors to combination immunotherapy.

Use Cases

• Analyze single-cell transcriptomic data to identify PIK3CA mutation-associated signatures within the tumor microenvironment.
• Correlate malignant epithelial subset gene expression with CD8+ T-cell exhaustion markers like PD-L1 and SPP1.
• Investigate the enrichment of MMP9+ macrophages and their association with angiogenesis signaling pathways like ANGPTL4.
• Use the atlas to model the dual landscape of T-cell exhaustion and active angiogenesis for predicting response to PD-1 blockade and anti-angiogenic therapy.

Strengths

• Data focuses on a high-resolution single-cell transcriptomic atlas, providing cellular-level detail.
• File is structured in an XLSX format, facilitating analysis in common spreadsheet and statistical software.
• Dataset is shared under a permissive CC BY 4.0 license for open reuse.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope or a summary dataset rather than raw single-cell data.
• Specific row and column counts, sample data, and the exact data structure are unknown.
• The description is highly specific to a research finding, which may limit generalizability for other analytical purposes.

Provenance

Source

Figshare

Collection Method

Constructed from a high-resolution single-cell transcriptomic atlas of the cervical cancer tumor microenvironment.

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