Modeling pediatric low-grade glioma heterogeneity using human forebrain organoids.
Overview
and 6 other authors
Martina Iannuzzi4, Alessia Soldano4, Toma Tebaldi1,5, Evelina Miele2, Elisabetta Ferretti6, Luca Tiberi1- Department CIBIO, University of Trento, Trento, Italy
- Onco-Hematology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
- Department of Radiological, Oncological and Anatomo Pathological Sciences, Sapienza University, Rome, Italy and IRCCS Neuromed, Pozzilli, Italy
- Department of Neuroscience, SISSA, Trieste, Italy
- Department of Internal Medicine, Section of Hematology, Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT USA
- Department of Experimental Medicine, Sapienza University, Rome, Italy
Abstract
Pediatric low-grade gliomas (pLGGs) are the most common type of brain tumors in children, characterized by their typically slow growth and oncogene-induced senescence. Preclinical models provide the opportunity to investigate the effects of various treatments in a controlled setting before they are tested in human patients; however, reliable models for pLGGs are limited. Here we developed two organoid models for pLGGs, which, after engraftment into mice, exhibited low-grade features. Furthermore, the genome-wide DNA methylation and RNA profiles of the organoids demonstrated closer similarity to low-grade glioma entities compared to high-grade counterparts. Additionally, pLGG organoid-derived cells align with oligodendrocyte-like, astrocyte-like and MAPK signature clusters seen in patient tumors, indicating that the organoids generate a heterogeneous population of cancer cells, where cellular diversity may influence disease progression and treatment response.
Supplementary Information: The online version contains supplementary material available at 10.1186/
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LTiberiLab/pLGG_Leva_Santomaso_2026
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 26 authors, 10 MeSH terms, 3 funders, 34 references.
Cite
This paper
Leva, G., Santomaso, L., Gianesello, M., Patrizi, S., Ress, F., Cocchini, F., Antonacci, C., Gianno, F., Abballe, L., Lago, C., Pozza, N., Trentini, G., Cardano, M., Minasi, S., Buttarelli, F. R., Antonelli, M., Pernici, D., Petrucci, L., Antonica, F., . . . Tiberi, L. (2026). Modeling pediatric low-grade glioma heterogeneity using human forebrain organoids. Molecular cancer, 25(1), 133. https://
BibTeX
@article{leva2026modelin
author = {Leva, Gloria and Santomaso, Lucia and Gianesello, Matteo and Patrizi, Sara and Ress, Federica and Cocchini, Federico and Antonacci, Celeste and Gianno, Francesca and Abballe, Luana and Lago, Chiara and Pozza, Noemi and Trentini, Gabriele and Cardano, Marina and Minasi, Simone and Buttarelli, Francesca Romana and Antonelli, Manila and Pernici, Davide and Petrucci, Linda and Antonica, Francesco and Busarello, Emma and Iannuzzi, Martina and Soldano, Alessia and Tebaldi, Toma and Miele, Evelina and Ferretti, Elisabetta and Tiberi, Luca},
title = {{Modeling pediatric low-grade glioma heterogeneity using human forebrain organoids}},
journal = {Molecular cancer},
year = {2026},
month = apr,
volume = {25},
number = {1},
pages = {133},
publisher = {BMC},
issn = {1476-4598},
doi = {10.1186/
url = {https://
pmid = {41923199},
pmcid = {PMC13192117}
}
RIS
TY - JOUR
AU - Leva, Gloria
AU - Santomaso, Lucia
AU - Gianesello, Matteo
AU - Patrizi, Sara
AU - Ress, Federica
AU - Cocchini, Federico
AU - Antonacci, Celeste
AU - Gianno, Francesca
AU - Abballe, Luana
AU - Lago, Chiara
AU - Pozza, Noemi
AU - Trentini, Gabriele
AU - Cardano, Marina
AU - Minasi, Simone
AU - Buttarelli, Francesca Romana
AU - Antonelli, Manila
AU - Pernici, Davide
AU - Petrucci, Linda
AU - Antonica, Francesco
AU - Busarello, Emma
AU - Iannuzzi, Martina
AU - Soldano, Alessia
AU - Tebaldi, Toma
AU - Miele, Evelina
AU - Ferretti, Elisabetta
AU - Tiberi, Luca
TI - Modeling pediatric low-grade glioma heterogeneity using human forebrain organoids
T2 - Molecular cancer
J2 - Mol Cancer
PY - 2026
DA - 2026/
VL - 25
IS - 1
SP - 133
SN - 1476-4598
PB - BMC
DO - 10.1186/
UR - https://
LA - en
ER -
CSL-JSON
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