journal article·2025-12Open access

Single‐Cell Transcriptomics Reveals ITGA2‐Mediated Metabolic Reprogramming and Immune Crosstalk in Pediatric Thyroid Carcinogenesis

Zhi‐jun Zhan, Ning Li, Yan Sun, Lu Chen, Jun‐da Yin, Yun‐han Shan, Jia‐xing Zeng, Zhe‐cheng Li, Hai‐long Tan, Neng Tang, Shi Chang, Peng Huang

Advanced Science· Volume 12· Issue 45

Abstract

Abstract Pediatric papillary thyroid carcinoma (PPTC) has exhibited a progressive increase in incidence in recent years, characterized by heightened biological aggressiveness relative to adult papillary thyroid carcinoma (APTC). Nevertheless, the molecular mechanisms governing PPTC‐specific pathobiology remain elusive. Through high‐resolution single‐cell RNA sequencing analysis of 90234 cellular transcriptomes from 4 PPTC and 9 APTC clinical specimens, a phenotypically distinct cellular subpopulation (ITGA2 hi ‐PTC cells) mechanistically responsible for PPTC's distinct clinical behavior, is identified. By integrating PPTC‐derived organoid models with in vivo functional validation and multiplex immunohistochemistry, it is demonstrated that ITGA2 orchestrates dual oncogenic pathways: 1) augmentation of glycolytic flux and 2) induction of M2 macrophage polarization. These synergistic mechanisms fundamentally drive PPTC oncogenesis and metastatic progression. Cross‐validation across independent clinical cohorts consistently confirms the translational significance of these findings. Our multi‐omics characterization of PPTC‐specific cellular ecosystems and signaling cascades establishes a mechanistic framework for advancing diagnostic precision and targeted therapeutic development.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Single-cell and spatial transcriptomics · Ferroptosis and cancer prognosis · Cancer Genomics and Diagnostics

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

Affiliations

Department of General Surgery XiangYa Hospital Central South University Changsha Hunan 410008 China

Clinical Research Center for Thyroid Disease in Hunan Province Xiangya Hospital Central South University Changsha Hunan 410008 China

Hunan Provincial Engineering Research Center for Thyroid and Related Diseases Treatment Technology Xiangya Hospital Central South University Changsha Hunan 410008 China

National Clinical Research Center for Geriatric Disorders Xiangya Hospital Central South University Changsha Hunan 410008 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Hunan Province

References (54)

Show source-provided references
1. Qian Z. J. · Jama Otolaryngol · 2019 · 145 · 617
2. 10.1002/cncr.3212510.1002/cncr.32125 ↗
3. 10.1200/JCO.21.0184110.1200/JCO.21.01841 ↗
4. 10.1210/endrev/bnad02210.1210/endrev/bnad022 ↗
5. Alara Conference · Pediatr Radiol · 2001 · 32 · 217
6. 10.1080/07357907.2024.235331310.1080/07357907.2024.2353313 ↗
7. 10.1089/thy.2014.046010.1089/thy.2014.0460 ↗
8. 10.1002/ohn.91610.1002/ohn.916 ↗
9. 10.1200/JCO.21.0186110.1200/JCO.21.01861 ↗
10. 10.1089/thy.2019.080210.1089/thy.2019.0802 ↗
11. 10.1172/JCI14484710.1172/JCI144847 ↗
12. 10.1016/j.cell.2014.09.05010.1016/j.cell.2014.09.050 ↗
13. 10.1038/s41467-021-26343-310.1038/s41467-021-26343-3 ↗
14. 10.3389/fimmu.2022.84081110.3389/fimmu.2022.840811 ↗
15. 10.1089/thy.2017.040110.1089/thy.2017.0401 ↗
16. 10.1038/s41467-024-47926-w10.1038/s41467-024-47926-w ↗
17. 10.1073/pnas.040485210210.1073/pnas.0404852102 ↗
18. 10.1152/ajpcell.00430.200810.1152/ajpcell.00430.2008 ↗
19. 10.1016/j.devcel.2023.10.01010.1016/j.devcel.2023.10.010 ↗
20. 10.1186/s13045-020-0845-z10.1186/s13045-020-0845-z ↗
21. 10.1158/2326-6066.CIR-23-104710.1158/2326-6066.CIR-23-1047 ↗
22. 10.1038/s41422-023-00831-110.1038/s41422-023-00831-1 ↗
23. 10.1155/2022/780461210.1155/2022/7804612 ↗
24. 10.1159/00051683010.1159/000516830 ↗
25. 10.1210/clinem/dgad34310.1210/clinem/dgad343 ↗
26. 10.1136/jitc-2024-00898310.1136/jitc-2024-008983 ↗
27. 10.1002/advs.20240449110.1002/advs.202404491 ↗
28. 10.1002/advs.20230554710.1002/advs.202305547 ↗
29. 10.1016/j.ccell.2024.01.01210.1016/j.ccell.2024.01.012 ↗
30. 10.1002/advs.20230686010.1002/advs.202306860 ↗
31. 10.1186/s12967-022-03508-210.1186/s12967-022-03508-2 ↗
32. 10.1016/j.gendis.2018.12.00310.1016/j.gendis.2018.12.003 ↗
33. 10.1093/abbs/gmab14710.1093/abbs/gmab147 ↗
34. 10.3390/cancers1312293710.3390/cancers13122937 ↗
35. 10.1038/s41698-024-00564-310.1038/s41698-024-00564-3 ↗
36. 10.1038/s41523-024-00695-710.1038/s41523-024-00695-7 ↗
37. 10.1186/s13045-023-01478-610.1186/s13045-023-01478-6 ↗
38. 10.1172/JCI16622410.1172/JCI166224 ↗
39. 10.1158/2159-8290.CD-21-031610.1158/2159-8290.CD-21-0316 ↗
40. 10.1038/s41467-022-29000-510.1038/s41467-022-29000-5 ↗
41. 10.1038/s41587-023-01767-y10.1038/s41587-023-01767-y ↗
42. 10.1016/j.cels.2019.03.00310.1016/j.cels.2019.03.003 ↗
43. 10.1038/s41592-019-0619-010.1038/s41592-019-0619-0 ↗
44. 10.1093/nar/gkac94710.1093/nar/gkac947 ↗
45. 10.1093/database/baz04610.1093/database/baz046 ↗
46. 10.1016/j.cell.2018.12.00310.1016/j.cell.2018.12.003 ↗
47. Kang M. · bioRxiv · 2024
48. 10.1038/nmeth.446310.1038/nmeth.4463 ↗
49. 10.1038/s41467-021-21246-910.1038/s41467-021-21246-9 ↗
50. 10.1038/s41596-024-01020-z10.1038/s41596-024-01020-z ↗
51. 10.1186/s13059-014-0550-810.1186/s13059-014-0550-8 ↗
52. 10.1093/nar/gkv00710.1093/nar/gkv007 ↗
53. 10.1186/1471-2105-14-710.1186/1471-2105-14-7 ↗
54. 10.1093/bioinformatics/btac83010.1093/bioinformatics/btac830 ↗