Dysregulation of Extracellular Matrix Genes Identifies Neuroblastoma Patients at High Risk of Recurrence and Poor Outcome

ECM gene signatures serve as robust prognostic markers across populations. This function-based approach offers a novel perspective to address genetic heterogeneity and provides a theoretical foundation for ECM-targeted combination therapies.

Authors

Institutions

Publication Details

Journal
Journal of Pediatric Hematology/Oncology
Published
2026-01-15
DOI
https://doi.org/10.1097/mph.0000000000003160
Primary Topic
Neuroblastoma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dysregulation of Extracellular Matrix Genes Identifies Neuroblastoma Patients at High Risk of Recurrence and Poor Outcome

Chaoban Wang, S Y Ge, Ju Gao, Guoqian He et al.
Journal of Pediatric Hematology/Oncology
Neuroblastoma Research and Treatments
article

Dysregulation of Extracellular Matrix Genes Identifies Neuroblastoma Patients at High Risk of Recurrence and Poor Outcome

Chaoban Wang, S Y Ge, Ju Gao, Guoqian He, Xiaoyu Jing, Xia Guo, Sijia He
article en

Abstract

ECM gene signatures serve as robust prognostic markers across populations. This function-based approach offers a novel perspective to address genetic heterogeneity and provides a theoretical foundation for ECM-targeted combination therapies.

Journal of Pediatric Hematology/OncologyVol. 48(2)
Sichuan University (CN), West China Second University Hospital of Sichuan University (CN)
No poverty
Openalex Percentile: Top 87%
Neuroblastoma Research and Treatments
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.