Comprehensive genomic profiling refines diagnosis and reveals clinically relevant alterations in pediatric Soft tissue sarcomas

Pediatric soft tissue sarcomas (STS) are rare malignancies that present significant challenges in diagnosis and treatment. Comprehensive genomic profiling holds promise in addressing these challenges by revealing the molecular drivers of these tumors. In this study, we conducted DNA sequencing on 50 pediatric STS samples, encompassing a diverse range of histologies. Utilizing advanced sequencing technologies and analytical tools, we identified recurrent genetic alterations that may guide diagnostic and therapeutic strategies. The most frequent mutations included alterations in EWSR1-FLI1, TP53, KRAS, and IGF1R. Notably, 34% of patients harbored mutations in the RTK-RAS signaling pathway, and 11 previously unreported gene mutations were identified. Gene amplifications were more common in rhabdomyosarcoma, while gene fusions were predominantly observed in non-rhabdomyosarcoma subtypes, particularly Ewing sarcoma. Our analysis of cooperative mutations revealed four groups of co-occurring genetic alterations, with no evidence of mutually exclusive mutations. Clinically, we observed significant correlations between specific genetic mutations and clinical parameters, such as age at diagnosis and fibrinogen levels, providing insights into potential prognostic factors. These findings offer a detailed genetic landscape of pediatric STS, emphasizing the importance of genomic profiling in improving diagnostic accuracy and identifying new therapeutic targets for this rare cancer.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2026-02-23
DOI
https://doi.org/10.1186/s40001-026-04050-3
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive genomic profiling refines diagnosis and reveals clinically relevant alterations in pediatric Soft tissue sarcomas

Liang Peng, Jianwu Zhou, Chao Yang, Xiaobin Deng et al.
European journal of medical research
Sarcoma Diagnosis and Treatment
article

Comprehensive genomic profiling refines diagnosis and reveals clinically relevant alterations in pediatric Soft tissue sarcomas

Liang Peng, Jianwu Zhou, Chao Yang, Xiaobin Deng, Yifei Du, Shan Wang, Zijie Zhou, Jian Sun, Yao Zhang
article en

Abstract

Pediatric soft tissue sarcomas (STS) are rare malignancies that present significant challenges in diagnosis and treatment. Comprehensive genomic profiling holds promise in addressing these challenges by revealing the molecular drivers of these tumors. In this study, we conducted DNA sequencing on 50 pediatric STS samples, encompassing a diverse range of histologies. Utilizing advanced sequencing technologies and analytical tools, we identified recurrent genetic alterations that may guide diagnostic and therapeutic strategies. The most frequent mutations included alterations in EWSR1-FLI1, TP53, KRAS, and IGF1R. Notably, 34% of patients harbored mutations in the RTK-RAS signaling pathway, and 11 previously unreported gene mutations were identified. Gene amplifications were more common in rhabdomyosarcoma, while gene fusions were predominantly observed in non-rhabdomyosarcoma subtypes, particularly Ewing sarcoma. Our analysis of cooperative mutations revealed four groups of co-occurring genetic alterations, with no evidence of mutually exclusive mutations. Clinically, we observed significant correlations between specific genetic mutations and clinical parameters, such as age at diagnosis and fibrinogen levels, providing insights into potential prognostic factors. These findings offer a detailed genetic landscape of pediatric STS, emphasizing the importance of genomic profiling in improving diagnostic accuracy and identifying new therapeutic targets for this rare cancer.

European journal of medical research
Children's Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Zero hunger
Openalex Percentile: Top 45%
Sarcoma Diagnosis and Treatment
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.