Immunophenotyping with high-dimensional flow cytometry identifies Treg cell subsets associated with recurrence in papillary thyroid carcinoma

Author:

Li Sijin1,Chen Zhen2,Liu Mengchu3,Li Liang4,Cai Wensong5,Lian Zhe-Xiong6,Guan Haixia7,Xu Bo8

Affiliation:

1. S Li, Department of Thyroid Surgery, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China

2. Z Chen, Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou, China

3. M Liu, School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou, China

4. L Li, Medical Research Institute, Guangdong Provincial People's Hospital, Guangzhou, China

5. W Cai, Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou, China

6. Z Lian, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China

7. H Guan, Department of Endocrinology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China

8. B Xu, Department of Thyroid Surgery, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China

Abstract

The activation of Treg cell subsets is critical for the prognosis of tumor patients; however, their heterogeneity and disease association in papillary thyroid carcinoma (PTC) need further investigation. We performed high-dimensional flow cytometry for immunophenotyping on thyroid tissues and matched peripheral blood samples from patients with multinodular goiters or PTC. We analyzed Treg cell phenotype and compared the recurrence-free survival of PTC patients with different Treg cell subset characteristics using TCGA. Furthermore, PTC recurrent and non-recurrent group were compared by multiplex immunohistochemistry. High-dimensional flow cytometry and bioinformatics analysis revealed an enrichment of Tregs in tumors compared with multinodular goiters and peripheral blood specimens. Moreover, effector Tregs (e-Tregs) as well as FOXP3+ non-Tregs were enriched in tumor samples, and the expression of CD39, PD-1, and CD103 increased on tumor Tregs. TCGA data analysis showed that individuals with CD39hiPD-1loCD103loe-Treghi and CD39loPD-1loCD103hie-Treghi expression patterns had a high recurrence rate. According to the multiplex immunohistochemistry and analysis, compared with non-recurrent group, the proportion of high recurrence rate effector Treg clusters (CD39+PD-1-CD103- plus CD39-PD-1-CD103+) was increased in recurrent patients. Overall, our results highlight the potential of e-Treg subsets as future immunotherapy targets for PTC recurrence.

Publisher

Bioscientifica

Subject

Cancer Research,Endocrinology,Oncology,Endocrinology, Diabetes and Metabolism

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