DataVXAdvanced BiologyPaper
journal article·2025-07Open access

Application of Immune Repertoire Analysis in Differentiating Thyroid Cancer and Large Benign Thyroid Nodules

Jun Zhu, Xu Zhang, Xiangqing Zhu, Ziran Gao, Zhong Ni, Tiancheng Zhang, Meijin Huang

Advanced Biology· Volume 9· Issue 7
Publisher pageOpen full text
Source abstract

Abstract

Abstract This study compares the peripheral T‐cell receptor (TCR) and B‐cell receptor (BCR) immune repertoires among early‐stage papillary thyroid carcinoma (PTC) patients, patients with benign thyroid nodules larger than 4 cm, and healthy controls. Adaptive immune repertoire sequencing is used to analyze peripheral immune profile differences among these groups. Results indicates that early PTC and large benign nodules show significantly higher proportions of expanded clones than healthy controls, reflecting antigen‐driven clonal expansion. By introducing the concept of “publicness,” disease‐specific high‐publicness clonotypes is identified. These clonotypes exhibits distinct V‐J rearrangement characteristics and strong immune heterogeneity. This study further reveals that this immune heterogeneity may be associated with patients' thyroid hormone levels and autoimmune antibody levels. These findings provides new insights into the immunopathological mechanisms of thyroid disorders.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Thyroid Cancer Diagnosis and Treatment · Ferroptosis and cancer prognosis · Cancer Immunotherapy and Biomarkers

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Oncology 920th Hospital of People's Liberation Army (PLA) Joint Logistics Support Force Yunnan 650118 China

NHC Key Lab of Reproduction Regulation Shanghai Engineering Research Center of Reproductive Health Drug and Devices Shanghai Institute for Biomedical and Pharmaceutical Technologies Shanghai 200237 China

Shanghai‐MOST Key Laboratory of Health and Disease Genomics NHC Key Lab of Reproduction Regulation Shanghai Institute for Biomedical and Pharmaceutical Technologies Shanghai 200237 China

Department of Basic Medical Laboratory 920th Hospital of People's Liberation Army (PLA) Joint Logistics Support Force Yunnan 650118 China

Department of Pathology 920th Hospital of the Joint Logistics Support Force of PLA Yunnan China

School of Life Sciences Jiangsu University Zhenjiang 212013 China

References (33)

Show source-provided references
1. 10.1016/S2213-8587(20)30115-710.1016/S2213-8587(20)30115-7 ↗
2. 10.1002/cncy.2145410.1002/cncy.21454 ↗
3. 10.1016/j.surg.2016.03.01910.1016/j.surg.2016.03.019 ↗
4. 10.1016/j.amjsurg.2020.05.03410.1016/j.amjsurg.2020.05.034 ↗
5. 10.1530/EJE-09-089510.1530/EJE-09-0895 ↗
6. 10.1503/cjs.01791810.1503/cjs.017918 ↗
7. 10.1530/EJE-20-035010.1530/EJE-20-0350 ↗
8. 10.1210/clinem/dgaa45210.1210/clinem/dgaa452 ↗
9. 10.3389/fimmu.2021.59535510.3389/fimmu.2021.595355 ↗
10. 10.1016/j.crmeth.2022.10026910.1016/j.crmeth.2022.100269 ↗
11. 10.1158/0008-5472.CAN-20-377310.1158/0008-5472.CAN-20-3773 ↗
12. 10.1158/1078-0432.CCR-14-301710.1158/1078-0432.CCR-14-3017 ↗
13. 10.3389/fmicb.2021.63625010.3389/fmicb.2021.636250 ↗
14. 10.1007/978-1-0716-1237-8_1210.1007/978-1-0716-1237-8_12 ↗
15. 10.1016/j.jmb.2020.06.02310.1016/j.jmb.2020.06.023 ↗
16. 10.1016/j.phrs.2023.10668610.1016/j.phrs.2023.106686 ↗
17. 10.1007/s11538-023-01190-z10.1007/s11538-023-01190-z ↗
18. 10.1371/journal.pgen.101065210.1371/journal.pgen.1010652 ↗
19. 10.1111/imm.1330610.1111/imm.13306 ↗
20. 10.1016/j.semcancer.2019.05.01910.1016/j.semcancer.2019.05.019 ↗
21. 10.4049/jimmunol.150102910.4049/jimmunol.1501029 ↗
22. 10.4049/jimmunol.110208710.4049/jimmunol.1102087 ↗
23. 10.1186/s12885-023-11456-310.1186/s12885-023-11456-3 ↗
24. 10.1126/scitranslmed.aaz373810.1126/scitranslmed.aaz3738 ↗
25. 10.3389/fgene.2022.86051010.3389/fgene.2022.860510 ↗
26. 10.3389/fimmu.2024.134558610.3389/fimmu.2024.1345586 ↗
27. 10.1038/nprot.2016.09310.1038/nprot.2016.093 ↗
28. 10.1007/978-3-319-24277-410.1007/978-3-319-24277-4 ↗
29. R. A. M.Villanueva Z. J.Chen ggplot2: elegant graphics for data analysis (2nd ed.). Measurement 2019 17 160–167.10.1080/15366367.2019.1565254 ↗
30. A.Kassambara ggpubr: ’ggplot2’‐based publication ready plots 2023.
31. A.Kassambara rstatix: pipe‐friendly framework for basic statistical tests 2023.
32. 10.1093/bioinformatics/btw31310.1093/bioinformatics/btw313 ↗
33. R.Kolde heatmap: pretty heatmaps. R package version 2019 1.0.12.