hMSCs-derived exosomal MIR17HG promotes follicular helper T cell differentiation and osteosarcoma progression via the miR-372-3p/BCL6 axis

These findings demonstrate that exosomal MIR17HG derived from hMSCs drives the differentiation of follicular helper T cells and the progression of OS via the miR-372-3p/BCL6 axis.

Authors

Institutions

Publication Details

Journal
Journal of bone oncology
Published
2025-11-16
DOI
https://doi.org/10.1016/j.jbo.2025.100726
Citations
1
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

hMSCs-derived exosomal MIR17HG promotes follicular helper T cell differentiation and osteosarcoma progression via the miR-372-3p/BCL6 axis

Y. Y. Wang, Baomin Wu, Peng Zhu, Gang Xue et al.
1 citations
Journal of bone oncology
CAR-T cell therapy research
1.05
article

hMSCs-derived exosomal MIR17HG promotes follicular helper T cell differentiation and osteosarcoma progression via the miR-372-3p/BCL6 axis

Y. Y. Wang, Baomin Wu, Peng Zhu, Gang Xue, Jin Qi
article en
1 citations

Abstract

These findings demonstrate that exosomal MIR17HG derived from hMSCs drives the differentiation of follicular helper T cells and the progression of OS via the miR-372-3p/BCL6 axis.

Journal of bone oncologyVol. 55
Wannan Medical College (CN), Anhui Medical University (CN), Lanzhou University Second Hospital (CN), First Affiliated Hospital of Wannan Medical College (CN), Anhui Polytechnic University (CN), Lanzhou University (CN)
Openalex Percentile: Top 16%
CAR-T cell therapy research
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.