乳腺癌
三阴性乳腺癌
CD8型
医学
免疫系统
CD3型
免疫组织化学
肿瘤科
内科学
生存分析
CD19
肿瘤微环境
乳腺肿瘤
癌症研究
病理
癌症
免疫学
作者
Xinyu Ren,Yu Song,Junyi Pang,Longyun Chen,Liangrui Zhou,Zhiyong Liang,Huanwen Wu
标识
DOI:10.3389/fimmu.2023.1137561
摘要
Background This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC). Methods The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed. Results For all patients, Kaplan–Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS), P =0.0014; overall survival (OS), P= 0.0031) and total region (DFS, P= 0.0014; OS, P= 0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival ( P< 0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS, P< 0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS, P< 0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS, P< 0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS, P= 0.0213; OS, P= 0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival. Conclusion Computational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy.
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