S100A11 as an immune-related exosomal driver of colorectal cancer progression: a novel diagnostic biomarker

S100A11 mechanistically promotes CRC progression by activating oncogenic signaling and reshaping the immune microenvironment, positioning it as a clinically relevant dual-function biomarker. The integration of bioinformatics, machine learning, and experimental validation underscores the potential of exosome-derived markers for immunotherapy and precision oncology. Future studies should focus on clinical validation and the development of exosome-based immune-targeted therapies for CRC management.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-06-11
DOI
https://doi.org/10.3389/fonc.2025.1590128
Citations
3
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

S100A11 as an immune-related exosomal driver of colorectal cancer progression: a novel diagnostic biomarker

Haibo Wang, Jun He, Rongchao He, Liu Deng et al.
3 citations
Frontiers in Oncology
Extracellular vesicles in disease
2.42
article

S100A11 as an immune-related exosomal driver of colorectal cancer progression: a novel diagnostic biomarker

Haibo Wang, Jun He, Rongchao He, Liu Deng, Zhong Shen
article en
3 citations

Abstract

S100A11 mechanistically promotes CRC progression by activating oncogenic signaling and reshaping the immune microenvironment, positioning it as a clinically relevant dual-function biomarker. The integration of bioinformatics, machine learning, and experimental validation underscores the potential of exosome-derived markers for immunotherapy and precision oncology. Future studies should focus on clinical validation and the development of exosome-based immune-targeted therapies for CRC management.

Frontiers in OncologyVol. 15
Anhui Medical University (CN), Third People's Hospital of Hangzhou (CN), First Affiliated Hospital of Anhui Medical University (CN), Zhejiang University (CN)
Openalex Percentile: Top 11%
Extracellular vesicles in disease
2.42
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.