The biomarkers related to immune infiltration to predict distant metastasis in breast cancer patients

免疫浸润相关生物标志物预测乳腺癌患者远处转移

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作者:Chengsi Ren, Anran Gao, Chengshi Fu, Xiangyun Teng, Jianzhang Wang, Shaofang Lu, Jiahui Gao, Jinfeng Huang, Dongdong Liu, Jianhua Xu

Background

The development of distant metastasis (DM)

Conclusion

A new immune infiltration related signature developed for predicting metastatic risk will improve the treatment and management of BC patients.

Methods

Differentially expressed genes (DEGs) were screened out using GSE184717 and GSE183947. GSE20685 were randomly assigned to the training and the internal validation cohort. A signature was developed according to the

Results

A signature containing CD74 and TSPAN7 was developed according to the results of univariate and multivariate Cox regression analysis, which was validated by using internal and external (GSE6532) validation cohort. Mechanistically, the signature reflect the overall level of immune infiltration in tissues, especially myeloid immune cells. The expression of CD74 and TSPAN7 is heterogeneous, and the overexpression is positively correlated with the infiltration of myeloid immune cells. CD74 is mainly derived from myeloid immune cells and do not affect the proportion of CD8+T cells. Low expression levels of TSPAN7 is mainly caused by methylation modification in BC cells. This signature could act as an independent predictive factor in patients with BC (p = 0.01, HR = 0.63), and it has been validated in internal (p = 0.023, HR = 0.58) and external (p = 0.0065, HR = 0.67) cohort. Finally, we constructed an individualized prediction nomogram based on our signature. The model showed good discrimination in training, internal and external cohort, with a C-index of 0.742, 0.801, 0.695 respectively, and good calibration. DCA demonstrated that the prediction nomogram was clinically useful.

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