Author
Listed:
- Ji Yoon Lee
(Korea University College of Medicine
Korea University College of Medicine)
- Eun Jung Lee
(Korea University College of Medicine
Korea University College of Medicine)
- Bo Yeon Seo
(Korea University College of Medicine
Korea University College of Medicine)
- Jiwon Kim
(Korea University College of Medicine
Korea University College of Medicine)
- Youjin Song
(Korea University College of Medicine
Korea University College of Medicine)
- Dayoung Lee
(Korea University College of Medicine
Korea University College of Medicine)
- Namsung Moon
(Korea University College of Medicine
Korea University College of Medicine)
- Harim Koo
(Korea University College of Medicine
Korea University College of Medicine
National Cancer Center)
- Chul-Kee Park
(Seoul National University Hospital)
- Min-Sung Kim
(Seoul National University Hospital)
- Serk In Park
(Korea University College of Medicine
Korea University College of Medicine
Vanderbilt University School of Medicine)
- Do-Hyun Nam
(Sungkyunkwan University School of Medicine)
- Doo-Sik Kong
(Sungkyunkwan University School of Medicine)
- Jason K. Sa
(Korea University College of Medicine
Korea University College of Medicine)
Abstract
Meningioma is the most prevalent primary brain tumor with extensive intra-tumoral heterogeneity and high recurrence rates, particularly in high-grade meningiomas. Despite advancements in understanding the molecular underpinnings of meningiomas, the longitudinal evolutionary trajectory and cellular diversity of recurrent tumors remain elusive. In this study, we perform single-nuclei sequencing of matched primary and recurrent meningiomas to explore the dynamic transcriptional heterogeneity and evolutionary trajectory of meningioma tumor cells, as well as their molecular interactions with tumor-associated immune cells that shape the complex milieu of the meningioma microenvironment. Our findings reveal that both primary and recurrent meningiomas constitute diverse cellular compositions and hierarchies, where recurrent tumor cells are characterized by enrichments of cell cycle activities and proliferative kinetics. Integrative RNA velocity and latent time uncover divergent transcriptional trajectories in recurrent tumors, demonstrating multidirectional transitions with the dominance of COL6A3, which confers higher risk vulnerability and treatment resistance. Tumor microenvironment analysis further reveals enrichments of COL6A3-mediated interactions between immunosuppressive macrophages and tumor cells in recurrent meningiomas. Collectively, these results provide profound insights into the complex evolutionary process of meningiomas and suggest potential therapeutic strategies for the treatment of recurrent tumors.
Suggested Citation
Ji Yoon Lee & Eun Jung Lee & Bo Yeon Seo & Jiwon Kim & Youjin Song & Dayoung Lee & Namsung Moon & Harim Koo & Chul-Kee Park & Min-Sung Kim & Serk In Park & Do-Hyun Nam & Doo-Sik Kong & Jason K. Sa, 2025.
"Single-cell analysis reveals a longitudinal trajectory of meningioma evolution and heterogeneity,"
Nature Communications, Nature, vol. 16(1), pages 1-14, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60653-0
DOI: 10.1038/s41467-025-60653-0
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60653-0. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.