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September 10, 2025Clinical ProteomicsOpen Access

Revelation of prognosis and tumor microenvironment of colorectal cancer based on genes related to antibody-dependent cellular phagocytosis and single-cell landscape

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Authors

LYLeilei YangJHJiaju HanWMWeiwei Ma

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Overview

Analysis reveals a novel prognostic model using antibody-dependent cellular phagocytosis genes in colorectal cancer, suggesting treatment pathways.

Key Points

  • The study establishes a prognostic model based on 7 ADCP-related genes for colorectal cancer patients, enhancing treatment guidance.
  • Using data from TCGA and GEO databases, the model effectively predicts prognosis as indicated by Kaplan-Meier survival curves and ROC analysis.
  • Functional enrichment analysis shows significant signaling pathways linked to high-risk scores in colorectal cancer cells, suggesting treatment avenues.
  • The analysis identifies potential therapeutic agents such as Dasatinib and Tegafur, which might improve treatment outcomes in colorectal cancer patients.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68c1ce5d54b1d3bfb60f5321https://doi.org/10.1186/s12014-025-09553-5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A novel prognostic model for colorectal cancer based on epithelial cell marker genes identified and validated by combining Single-Cell and Bulk RNA- Sequencing2024
  2. 2Revolutionizing prognostic predictions in colorectal cancer: Macrophage‑driven transcriptional insights from single‑cell RNA sequencing and gene co‑expression network analysis2024 · 2 citations
  3. 3Integrated single-cell and bulk RNA-seq for constructing a prognostic risk model of immune-related genes in colorectal cancer2024
  4. 4Unveiling the Prognostic Significance and Immunological Characteristics of T Cell Marked Ubiquitination Related Genes in Colorectal Adenocarcinoma via Single-Cell and bulk RNA Sequencing2025
  5. 5Screening and Validation of Genes Associated With Lysosomal‐Dependent Cell Death in Colorectal Cancer2025