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Genetic Hallmarks and Heterogeneity of Glioblastoma in the Single‐Cell Omics Era
Author(s) -
Degl'Innocenti Andrea,
di Leo Nicoletta,
Ciofani Gianni
Publication year - 2020
Publication title -
advanced therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
0
ISSN - 2366-3987
DOI - 10.1002/adtp.201900152
Subject(s) - glioblastoma , omics , confounding , genetic heterogeneity , biology , disease , computational biology , cancer , bioinformatics , medicine , pathology , genetics , cancer research , phenotype , gene
Glioblastoma multiforme is the most common and aggressive malignant primary brain tumor. As implied by its name, the disease displays impressive intrinsic heterogeneity. Among other complications, inter‐ and intratumoral diversity hamper glioblastoma research and therapy, typically leaving patients with little hope for long‐term survival. Extensive genetic analyses, including omics, characterize several recurrent mutations. However, confounding factors mask crucial aspects of the pathology to conventional bulk approaches. In recent years, single‐cell omics have made their first appearance in cancer research, and the methodology is about to reach its full potential for glioblastoma too. Here, recent glioblastoma single‐cell omics investigations are reviewed, and most promising routes toward less grim prognoses and more efficient therapeutics are discussed.

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