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          <dc:title>Additional file 1 of Phosphoinositide metabolism-related prognostic genes and their prognostic value in cervical cancer: an investigation based on transcriptome, single-cell analyses and verification</dc:title>
          <dc:creator>Hui Meng (197494)</dc:creator>
          <dc:creator>Li Tan (157486)</dc:creator>
          <dc:creator>Ying Chen (9697)</dc:creator>
          <dc:creator>Dongmei Wang (282313)</dc:creator>
          <dc:creator>Yong Qi (25161968)</dc:creator>
          <dc:creator>Chuchao Zhu (25161971)</dc:creator>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Mathematical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>Cervical cancer</dc:subject>
          <dc:subject>Phosphoinositide metabolism</dc:subject>
          <dc:subject>Bioinformatics</dc:subject>
          <dc:subject>Prognostic gene</dc:subject>
          <dc:description>Supplementary Material 1: Additional file 1. Clinical Information of the Dataset Samples. Additional file 2. List of phosphoinositide metabolism-related genes (PPM-RGs) obtained from MSigDB. Additional file 3. List of clinical sample information. Additional file 4. Differentially expressed genes identified in GSE9750. Additional file 5. Overlapping candidate genes between DEGs and PPM-RGs. Additional file 6. GO enrichment results of candidate genes. Additional file 7. KEGG enrichment results of candidate genes. Additional file 8. Tim-dependent ROC curves at 1, 2, and 3 years for the full model (VAC14 + INPP5K), the VAC14-only model, and the INPP5K-only model. Additional file 9. Significantly enriched GSEA results between the high-risk and low-risk groups. Additional file 10. Differential drug sensitivity results between the high-risk and low-risk groups. Additional file 11. Correlations between prognostic genes and significantly different drugs. Additional file 12. Functional enrichment results of annotated cell types. Additional file 13. Monocyte subpopulation clustering and PCA dimensionality-reduction analyses. Additional file 14. PPM pathway activity in monocytes and bootstrap stability assessment. (a) Comparison of the PPM pathway score between CESC-derived and control-derived monocytes. (b) Bootstrap stability assessment of the mean difference in monocyte PPM scores between the CESC and control groups. Additional file 15 Correlative Analysis of INPP5K and VAC14 Expression with tumor stage (Supplementary Table 1) and differentiation grade (Supplementary Table 2).</dc:description>
          <dc:date>2026-07-09T05:00:00Z</dc:date>
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