Senescence-related scoring model

Biomarker

1 paper3 findings

  • Cells1

Effects

3

Regulatory T cell infiltration

upin silico1

1 study
  1. Senescence-related scoring model increases regulatory T cell infiltration in silico.

    “immunosuppressive tumor microenvironment (TME) characterized by elevated regulatory T cell (Treg) infiltration”

    In silicohigh SRSM ccRCC patients

    Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma

    Frontiers in immunology16 Dec 2025

More on Regulatory T cell infiltration

Oxidative phosphorylation

upin silico1

1 study
  1. Senescence-related scoring model increases oxidative phosphorylation in silico.

    “Patients with high SRSM exhibited significantly poorer survival (P < 0.001), enhanced oxidative phosphorylation”

    In silicohigh SRSM ccRCC patients

    Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma

    Frontiers in immunology16 Dec 2025

More on Oxidative phosphorylation

Survival

downin silico1

1 study
  1. Senescence-related scoring model decreases survival in silico (P < 0.001).

    “Patients with high SRSM exhibited significantly poorer survival (P < 0.001)”

    In silicoccRCC patients

    Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma

    Frontiers in immunology16 Dec 2025

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