Integration of histopathological images and immunological analysis to predict M2 macrophage infiltration and prognosis in patients with serous ovarian cancer

Collectively, our findings indicated that M2 macrophage infiltration may increase prognostic prediction for SOC patients. Machine deep learning of pathological immunohistochemical images exhibited good potential for the direct prediction of M2 macrophage infiltration.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-03-17
DOI
https://doi.org/10.3389/fimmu.2025.1505509
Primary Topic
Immune cells in cancer
Type
article
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article

Integration of histopathological images and immunological analysis to predict M2 macrophage infiltration and prognosis in patients with serous ovarian cancer

Ling Zhao, Jiajia Tan, Yan Kuang, Qiang Su
Frontiers in Immunology
Immune cells in cancer
article

Integration of histopathological images and immunological analysis to predict M2 macrophage infiltration and prognosis in patients with serous ovarian cancer

Ling Zhao, Jiajia Tan, Yan Kuang, Qiang Su
article en

Abstract

Collectively, our findings indicated that M2 macrophage infiltration may increase prognostic prediction for SOC patients. Machine deep learning of pathological immunohistochemical images exhibited good potential for the direct prediction of M2 macrophage infiltration.

Frontiers in ImmunologyVol. 16
Guangxi Medical University (CN), Guangzhou First People's Hospital (CN), First Affiliated Hospital of GuangXi Medical University (CN), Guangzhou Medical University (CN)
No poverty
Openalex Percentile: Top 95%
Immune cells in cancer
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