Next-Generation Sequencing in Translational Sarcoma Research: Biological Insights and Emerging Directions

PURPOSE OF REVIEW: Sarcomas are rare and heterogeneous malignancies for which molecular diagnostics increasingly complement histopathology, immunohistochemistry, FISH, and RT-PCR. This review summarizes the main research applications of next-generation sequencing (NGS) in sarcoma, with particular attention to mutation and variant discovery, fusion detection, biomarker development, assay validation, multi-omics integration, and the boundaries between exploratory research and clinical implementation. RECENT FINDINGS: NGS-based approaches have expanded the detection of recurrent and rare alterations across sarcoma subtypes, including subtype-defining fusions, copy-number changes, actionable kinase rearrangements, and alterations in tumor suppressor and cell-cycle pathways. However, the clinical utility of NGS remains context-dependent and should be interpreted according to tumor subtype, sample quality, available orthogonal methods, multidisciplinary expertise, and current precision-oncology recommendations. NGS is a powerful tool in translational sarcoma research and, in selected clinical scenarios, supports diagnosis, molecular classification, and therapeutic decision-making. Its use should be presented with appropriate caution, acknowledging technical limitations, the need for expert reference-center interpretation, and the complementary role of established diagnostic techniques.

Authors

Institutions

Publication Details

Journal
Current Oncology Reports
Published
2026-09-17
DOI
https://doi.org/10.1007/s11912-026-01828-w
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Next-Generation Sequencing in Translational Sarcoma Research: Biological Insights and Emerging Directions

Silvia Vanni, Alessandro De Vita, Giacomo Miserocchi, Elena Xerxa et al.
Current Oncology Reports
Sarcoma Diagnosis and Treatment
article

Next-Generation Sequencing in Translational Sarcoma Research: Biological Insights and Emerging Directions

Silvia Vanni, Alessandro De Vita, Giacomo Miserocchi, Elena Xerxa, Sara Violani, Jürgen Bajorath
article en

Abstract

PURPOSE OF REVIEW: Sarcomas are rare and heterogeneous malignancies for which molecular diagnostics increasingly complement histopathology, immunohistochemistry, FISH, and RT-PCR. This review summarizes the main research applications of next-generation sequencing (NGS) in sarcoma, with particular attention to mutation and variant discovery, fusion detection, biomarker development, assay validation, multi-omics integration, and the boundaries between exploratory research and clinical implementation. RECENT FINDINGS: NGS-based approaches have expanded the detection of recurrent and rare alterations across sarcoma subtypes, including subtype-defining fusions, copy-number changes, actionable kinase rearrangements, and alterations in tumor suppressor and cell-cycle pathways. However, the clinical utility of NGS remains context-dependent and should be interpreted according to tumor subtype, sample quality, available orthogonal methods, multidisciplinary expertise, and current precision-oncology recommendations. NGS is a powerful tool in translational sarcoma research and, in selected clinical scenarios, supports diagnosis, molecular classification, and therapeutic decision-making. Its use should be presented with appropriate caution, acknowledging technical limitations, the need for expert reference-center interpretation, and the complementary role of established diagnostic techniques.

Current Oncology ReportsVol. 28(1)
University of Bonn (DE), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT), Bonn Aachen International Center for Information Technology (DE)
Ministero della Salute
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
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.