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Related Concept Videos

The Tumor Microenvironment02:17

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
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Reframing thymic epithelial tumors through single-cell transcriptomics: a narrative review.

Minoru Matsumoto1, Yasuyo Saijo1, Koichi Tsuneyama2

  • 1Department of Molecular Pathology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

Mediastinum (Hong Kong, China)
|April 15, 2026
PubMed
Summary

Single-cell transcriptomics reveals thymic epithelial tumor (TET) heterogeneity, identifying novel cell states and immune interactions. This advances understanding of TET pathogenesis and classification, particularly in myasthenia gravis-associated cases.

Keywords:
Thymic epithelial tumor (TET)myasthenia gravis (MG)single-cell RNA-seqthymic carcinoma (TC)thymoma

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Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Thymic epithelial tumors (TETs) are rare and diverse neoplasms.
  • Existing classifications capture features but not full heterogeneity.
  • Single-cell transcriptomics offers a high-resolution approach to dissect TET complexity.

Purpose of the Study:

  • To review recent single-cell RNA sequencing (scRNA-seq) studies on human TETs.
  • To illuminate epithelial subpopulations and the intra-tumoral immune landscape.
  • To identify disease-specific aberrations, including myasthenia gravis (MG)-associated phenotypes.

Main Methods:

  • Focused narrative review of three key scRNA-seq studies on primary human TETs.
  • Analysis of epithelial subpopulations and immune cell interactions.
  • Bioinformatic approaches including ligand-receptor network analysis.

Main Results:

  • Identification of a novel TEC subpopulation (nmTECs) in MG-associated thymomas, linked to aberrant antigen presentation.
  • Delineation of tumor epithelial programs influencing the immune microenvironment and T-cell populations.
  • Convergence on functionally oriented classifications based on epithelial programs and immune composition, correlating with prognosis.

Conclusions:

  • Single-cell approaches reveal TET heterogeneity, including abnormal epithelial states and immune dynamics.
  • These findings refine classification and understanding of TET pathogenesis.
  • Further scRNA-seq data will deepen insights into TET biology and normal thymic epithelial cell function.