Crossmark

Machine learning–based integrative analysis identifies CXCL13-driven tertiary lymphoid structures as favorable immune and prognostic features in osteosarcoma

Crossref DOI link: https://doi.org/10.1007/s13402-026-01226-1

Published Online: 2026-05-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jiang, Jie

Xu, Jiuhui

Xie, Lu

Yu, Yiyang

Sun, Xin

Sun, Xiaojiao

Yang, Shen

Wang, Huanmin

Ren, Tingting

Tang, Xiaodong
Funding

Funding for this research was provided by:

Capital's Funds for Health Improvement and Research (No. 2024-1-2091)

Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0525800)
License Information

Text and Data Mining valid from 2026-05-16

Accepted Manuscript valid from 2026-05-16
More Information

Article History

Received: 27 December 2025

Accepted: 9 May 2026

First Online: 16 May 2026

Declarations

:

: This study was approved by the Ethics Committee of Peking University People’s Hospital (IRB Approval No: 2024PHB600-001 and 2025PHB112-001), and carried out following the Declaration of Helsinki. Informed consent was obtained from the patients included in this study.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below