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November 28, 2025Clinical and Experimental MedicineOpen Access

Decoding colorectal cancer chemotherapy and immunotherapy resistance: revealing the role of NOL3 using single-cell RNA sequencing and machine learning

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Authors

LMLujuan MaYLYu LuanYWYitian Wei

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Overview

Observational analysis reveals effective predictive model for prognosis in colorectal cancer, indicating the role of NOL3 in chemotherapy resistance.

Key Points

  • NOL3 expression correlates with resistance to chemotherapy and regulates apoptosis and cell migration.
  • Machine learning models achieved an average AUC value of 0.86, highlighting strong predictive performance for colorectal cancer prognosis.
  • Analysis employed single-cell RNA sequencing to evaluate cell proliferation and metabolic pathways in the tumor microenvironment.
  • High NOL3 expression in CRC cells indicates significant implications for tailoring chemotherapy and immunotherapy approaches.

Cite This Study

Ma et al. (2025) studied this question.

synapsesocial.com/papers/6928f126a65b730b9ea7a591https://doi.org/10.1007/s10238-025-01913-7
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