Immune landscape-driven subtyping reveals distinct microenvironment and prognostic profiles in thymic epithelial tumors

Thymic epithelial tumors (TETs) exhibit marked heterogeneity that challenges clinical management and prognostic evaluation. By consensus clustering of immune-related gene expression from public datasets and an in-house validation cohort, we identified two immune subtypes: a lymphocyte-rich subtype (LRS, n = 86) characterized by strong T-cell activity and favorable prognosis, and a myeloid/stromal-rich subtype (MSRS, n = 33) defined by immunosuppressive features, stemness, oncogenic alterations, and poorer outcomes. An APC gene-based classification panel demonstrated robust performance in distinguishing these subtypes, as confirmed by ROC curve analysis and validated in the Ruijin cohort using FFPE-RNA sequencing and multiplex immunofluorescence. Single-cell transcriptomics further delineated subtype-specific tumor microenvironment features and revealed that MSRS tumors suppressed CD8+ T-cell function through MIF-mediated mechanisms. Collectively, these findings establish a clinically relevant immune classification of TETs that integrates molecular, immunological, and clinical features, providing insights into tumor heterogeneity and supporting the development of personalized therapeutic strategies.

Authors

Institutions

Publication Details

Journal
npj Precision Oncology
Published
2025-12-06
DOI
https://doi.org/10.1038/s41698-025-01197-w
Primary Topic
Myasthenia Gravis and Thymoma
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Immune landscape-driven subtyping reveals distinct microenvironment and prognostic profiles in thymic epithelial tumors

Tao Lu, Youqiong Ye, Yiran Huang, Xiaohong Chen et al.
npj Precision Oncology
Myasthenia Gravis and Thymoma
article

Immune landscape-driven subtyping reveals distinct microenvironment and prognostic profiles in thymic epithelial tumors

Tao Lu, Youqiong Ye, Yiran Huang, Xiaohong Chen, Yajie Zhang, Wei Guo, Hecheng Li, Xipeng Wang
article en

Abstract

Thymic epithelial tumors (TETs) exhibit marked heterogeneity that challenges clinical management and prognostic evaluation. By consensus clustering of immune-related gene expression from public datasets and an in-house validation cohort, we identified two immune subtypes: a lymphocyte-rich subtype (LRS, n = 86) characterized by strong T-cell activity and favorable prognosis, and a myeloid/stromal-rich subtype (MSRS, n = 33) defined by immunosuppressive features, stemness, oncogenic alterations, and poorer outcomes. An APC gene-based classification panel demonstrated robust performance in distinguishing these subtypes, as confirmed by ROC curve analysis and validated in the Ruijin cohort using FFPE-RNA sequencing and multiplex immunofluorescence. Single-cell transcriptomics further delineated subtype-specific tumor microenvironment features and revealed that MSRS tumors suppressed CD8+ T-cell function through MIF-mediated mechanisms. Collectively, these findings establish a clinically relevant immune classification of TETs that integrates molecular, immunological, and clinical features, providing insights into tumor heterogeneity and supporting the development of personalized therapeutic strategies.

npj Precision OncologyVol. 10(1)
Shanghai Jiao Tong University (CN), Ruijin Hospital (CN)
Shanghai Municipal Health Commission, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Jiao Tong University, National Key Research and Development Program of China, Program of Shanghai Academic Research Leader
Openalex Percentile: Top 47%
Myasthenia Gravis and Thymoma
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.