Details

Autor(en) / Beteiligte

• Meyer, Mona
• Reimand, Jüri
• Lan, Xiaoyang
• Head, Renee
• Zhu, Xueming
• Kushida, Michelle
• Bayani, Jane
• Pressey, Jessica C.
• Lionel, Anath C.
• Clarke, Ian D.
• Cusimano, Michael
• Squire, Jeremy A.
• Scherer, Stephen W.
• Bernstein, Mark
• Woodin, Melanie A.
• Bader, Gary D.
• Dirks, Peter B.

Titel

Single cell-derived clonal analysis of human glioblastoma links functional and genomic heterogeneity

Ist Teil von

• Proceedings of the National Academy of Sciences - PNAS, 2015-01, Vol.112 (3), p.851-856

Ort / Verlag

United States: National Academy of Sciences

Erscheinungsjahr

2015

Quelle

MEDLINE

Beschreibungen/Notizen

• Glioblastoma (GBM) is a cancer comprised of morphologically, genetically, and phenotypically diverse cells. However, an understanding of the functional significance of intratumoral heterogeneity is lacking. We devised a method to isolate and functionally profile tumorigenic clones from patient glioblastoma samples. Individual clones demonstrated unique proliferation and differentiation abilities. Importantly, naüïve patient tumors included clones that were temozolomide resistant, indicating that resistance to conventional GBM therapy can preexist in untreated tumors at a clonal level. Further, candidate therapies for resistant clones were detected with clone-specific drug screening. Genomic analyses revealed genes and pathways that associate with specific functional behavior of single clones. Our results suggest that functional clonal profiling used to identify tumorigenic and drug-resistant tumor clones will lead to the discovery of new GBM clone-specific treatment strategies. Significance Glioblastoma is an incurable brain tumor. It is characterized by intratumoral phenotypic and genetic heterogeneity, but the functional significance of this heterogeneity is unclear. We devised an integrated functional and genomic strategy to obtain single cell-derived tumor clones directly from patient tumors to identify mechanisms of aggressive clone behavior and drug resistance. Genomic analysis of single clones identified genes associated with clonal phenotypes. We predict that integration of functional and genomic analysis at a clonal level will be essential for understanding evolution and therapeutic resistance of human cancer, and will lead to the discovery of novel driver mechanisms and clone-specific cancer treatment.