DataSheet_1_Distribution Characteristics and Prognostic Value of Immune Infiltration in Oligometastatic Breast Cancer.docx (29.23 kB)
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DataSheet_1_Distribution Characteristics and Prognostic Value of Immune Infiltration in Oligometastatic Breast Cancer.docx

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posted on 11.11.2021, 05:18 authored by Danyang Zhou, Kuikui Jiang, Ruoxi Hong, Qianyi Lu, Wen Xia, Mei Li, Chengyou Zheng, Qiufan Zheng, Fei Xu, Shusen Wang
Background

To assess the distribution characteristics and the prognostic value of immune infiltration in female oligometastatic breast cancer patients.

Methods

We retrospectively analyzed the clinicopathological data of oligometastatic breast cancer (OMBC) patients diagnosed between June 2000 and January 2020. Immune markers were quantified by immunohistochemistry on FFPE tissues in paired normal breast tissues, primary breast cancers and oligometastatic lesions. Survival analyses were performed using the Kaplan-Meier curves and Cox-proportional hazards model.

Results

A total of 95 female OMBC patients visited Sun Yat-sen University Cancer Center between June 2000 and January 2020, and 33 of them had matched normal breast tissues, primary cancers and oligometastatic lesions and were reviewed in immune infiltration analysis. CD8 of primary tumors had a higher expression than that in matched normal tissues. The expressions of CD8 and FOXP3 were higher in the primary sites than that in the oligometastatic lesions. CD3, CD4 and CD8 were significantly lower in the intratumoral regions than that in the peritumoral regions both in primary and oligometastatic lesions. Notably, the high percentage of CD3 in the intratumoral oligometastatic lesions predicted the longer PFS and OS, and higher CD4 in the same lesions also predicted a better OS. There was obviously positive correlation between CD4/CD3 and Ki-67 in primary cancers and negative correlation between CD4/CD3 and ER in oligometastatic sites.

Conclusion

We explored immune distribution and evolution in time and space in OMBC to provide new understandings for biological behaviors of this disease and further divided patients in different prognosis.

History

References