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The study aims to create a prognostic risk model for thyroid cancer using immune genes and assess their relationship with immune infiltration.

April 26, 2026Frontiers in GeneticsOpen Access

Charting the immune terrain: a novel risk model for thyroid cancer prognosis

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Retrospective study develops a risk model predicting thyroid cancer prognosis based on immune gene influence, guiding clinical screening.

The study aims to create a prognostic risk model for thyroid cancer using immune genes and assess their relationship with immune infiltration.
Conducted a retrospective analysis of 180 thyroid cancer patients from May 2022 to April 2025.
Utilized binary logistic regression, receiver operating characteristic curve, and gene set enrichment analysis for data analysis.
Explored immune cell infiltration and gene expression through the TCGA-THCA database.
Prognostic model shows C-index of 0.919 (95% CI: 0.882–0.961) and AUC of 0.880.
Poor prognosis group had lower infiltration of B lymphocytes, CD4+ and CD8+ T lymphocytes, but higher neutrophils and macrophages (P < 0.05).
S100A9 and MMP9 expression correlates with advanced disease stages including lymph node and distant metastasis (P < 0.05).

Qi et al. (2026) studied this question.

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April 26, 2026Frontiers in GeneticsOpen Access

View Full Paper

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Authors

Retrospective study develops a risk model predicting thyroid cancer prognosis based on immune gene influence, guiding clinical screening.

The study aims to create a prognostic risk model for thyroid cancer using immune genes and assess their relationship with immune infiltration.
Conducted a retrospective analysis of 180 thyroid cancer patients from May 2022 to April 2025.
Utilized binary logistic regression, receiver operating characteristic curve, and gene set enrichment analysis for data analysis.
Explored immune cell infiltration and gene expression through the TCGA-THCA database.
Prognostic model shows C-index of 0.919 (95% CI: 0.882–0.961) and AUC of 0.880.
Poor prognosis group had lower infiltration of B lymphocytes, CD4+ and CD8+ T lymphocytes, but higher neutrophils and macrophages (P < 0.05).
S100A9 and MMP9 expression correlates with advanced disease stages including lymph node and distant metastasis (P < 0.05).

Qi et al. (2026) studied this question.

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