Abstract 2677: Multi-omics profiling identifies two epithelioid sarcoma molecular subtypes with distinct signaling and immune characteristics

Abstract Background: Epithelioid sarcoma (EpS) is an aggressive sarcoma, characterized by the loss of SMARCB1 expression. EpS is traditionally classified as distal or proximal according to clinicopathological features, but its molecular bases remain largely unknown. Methods: To establish an EpS molecular classification, we combined multiple bulk omics profiling approaches to systematically characterize the genomic, transcriptional and methylome landscapes of EpS. We further investigated inter- and intra-patient heterogeneity and explored molecular subtype-specific transcriptomic signatures, using single-cell RNA sequencing on fresh samples. Results: We identified two molecular subtypes of EpS: “distal-like” and “proximal-like”. Distal-like tumors include all morphological distal subtypes and a subset of proximal and hybrid EpS. They express a specific single-cell derived epithelial-to-mesenchymal transition signature, which associates with improved patient survival and includes Desmoglein 2 (DSG2), which we identify as a potential routine immunohistochemichal biomarker to improve diagnosis. Distal-like EpS also display higher peri-tumoral CD8+ T cell infiltrates with specific tumor-immune cell interactions. Conversely, proximal-like EpS harbor a higher inter-tumoral molecular heterogeneity, with some cases resembling other SMARCB1-deficient tumors by DNA methylation profiling, and high intra-tumoral pro-tumoral macrophage infiltrates. Conclusion: Our study introduces a novel molecular classification of EpS with prognostic value, potential diagnostic markers and distinct tumor immune microenvironments, that extends beyond traditional clinicopathological classification. These insights pave the way for more personalized and effective treatment strategies for patients with EpS. Citation Format: Carine Ngo, Leo Colmet-Daage, Julien Vibert, Clémence Henon, Riwan Brillet, Jia Xiang Jin, Daniel Pissaloux, Clémence Astier, Jean-Yves Blay, Axel Le Cesne, Charles Honore, Matthieu Faron, Thomas Grünewald, Franck Bourdeaut, Franck Tirode, Sophie Postel-Vinay. Multi-omics profiling identifies two epithelioid sarcoma molecular subtypes with distinct signaling and immune characteristics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2677.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-2677
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

Abstract 2677: Multi-omics profiling identifies two epithelioid sarcoma molecular subtypes with distinct signaling and immune characteristics

Carine Ngo, Franck Bourdeaut, Riwan Brillet, Sophie C. Postel-Vinay et al.
Cancer Research
Sarcoma Diagnosis and Treatment
article

Abstract 2677: Multi-omics profiling identifies two epithelioid sarcoma molecular subtypes with distinct signaling and immune characteristics

Carine Ngo, Franck Bourdeaut, Riwan Brillet, Sophie C. Postel-Vinay, Thomas G. P. Grünewald, Julien Vibert, Léo Colmet‐Daage, Clémence Astier, Charles Honoré, Franck Tirode, Jia Xiang Jin, Clémence Henon, Axel Le Cesne, Matthieu Faron, Jean-Yves Blay, Daniel Pissaloux
article en

Abstract

Abstract Background: Epithelioid sarcoma (EpS) is an aggressive sarcoma, characterized by the loss of SMARCB1 expression. EpS is traditionally classified as distal or proximal according to clinicopathological features, but its molecular bases remain largely unknown. Methods: To establish an EpS molecular classification, we combined multiple bulk omics profiling approaches to systematically characterize the genomic, transcriptional and methylome landscapes of EpS. We further investigated inter- and intra-patient heterogeneity and explored molecular subtype-specific transcriptomic signatures, using single-cell RNA sequencing on fresh samples. Results: We identified two molecular subtypes of EpS: “distal-like” and “proximal-like”. Distal-like tumors include all morphological distal subtypes and a subset of proximal and hybrid EpS. They express a specific single-cell derived epithelial-to-mesenchymal transition signature, which associates with improved patient survival and includes Desmoglein 2 (DSG2), which we identify as a potential routine immunohistochemichal biomarker to improve diagnosis. Distal-like EpS also display higher peri-tumoral CD8+ T cell infiltrates with specific tumor-immune cell interactions. Conversely, proximal-like EpS harbor a higher inter-tumoral molecular heterogeneity, with some cases resembling other SMARCB1-deficient tumors by DNA methylation profiling, and high intra-tumoral pro-tumoral macrophage infiltrates. Conclusion: Our study introduces a novel molecular classification of EpS with prognostic value, potential diagnostic markers and distinct tumor immune microenvironments, that extends beyond traditional clinicopathological classification. These insights pave the way for more personalized and effective treatment strategies for patients with EpS. Citation Format: Carine Ngo, Leo Colmet-Daage, Julien Vibert, Clémence Henon, Riwan Brillet, Jia Xiang Jin, Daniel Pissaloux, Clémence Astier, Jean-Yves Blay, Axel Le Cesne, Charles Honore, Matthieu Faron, Thomas Grünewald, Franck Bourdeaut, Franck Tirode, Sophie Postel-Vinay. Multi-omics profiling identifies two epithelioid sarcoma molecular subtypes with distinct signaling and immune characteristics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2677.

Cancer ResearchVol. 85(8_Supplement_1)
Heidelberg University (DE), Institut Gustave Roussy (FR), Centre Léon Bérard (FR), DKFZ-ZMBH Alliance (DE), Institut Curie (FR)
Openalex Percentile: Top 87%
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.