The Organoid Era Permits the Development of New Applications to Study Glioblastoma.
The Organoid Era Permits the Development of New Applications to Study Glioblastoma.
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DOI:
10.3390/cancers12113303
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发表时间:
2020-11-09
期刊:
影响因子:
5.2
通讯作者:
Alaimo A
中科院分区:
文献类型:
--
作者:
Andreatta F;Beccaceci G;Fortuna N;Celotti M;De Felice D;Lorenzoni M;Foletto V;Genovesi S;Rubert J;Alaimo A
Glioblastoma is the most lethal primary adult brain tumor. The great number of mutations involved and the aggressiveness of glioblastoma render this type of cancer especially difficult to investigate. To address this problem, cerebral organoids have emerged as promising tools to investigate brain biology and to recapitulates the major steps involved in glioblastoma tumorigenesis. This review focuses on methods of cerebral organoid development, describes the protocols used for inducing glioblastoma, the approach used to derive glioblastoma organoids directly from patients’ biopsies and discusses their limitations and potential future direction. Glioblastoma (GB) is the most frequent and aggressive type of glioma. The lack of reliable GB models, together with its considerable clinical heterogeneity, has impaired a comprehensive investigation of the mechanisms that lead to tumorigenesis, cancer progression, and response to treatments. Recently, 3D cultures have opened the possibility to overcome these challenges and cerebral organoids are emerging as a leading-edge tool in GB research. The opportunity to easily engineer brain organoids via gene editing and to perform co-cultures with patient-derived tumor spheroids has enabled the analysis of cancer development in a context that better mimics brain tissue architecture. Moreover, the establishment of biobanks from GB patient-derived organoids represents a crucial starting point to improve precision medicine therapies. This review exemplifies relevant aspects of 3D models of glioblastoma, with a specific focus on organoids and their involvement in basic and translational research.
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影响因子:
23.9
作者:
Bershteyn M;Nowakowski TJ;Pollen AA;Di Lullo E;Nene A;Wynshaw-Boris A;Kriegstein AR
通讯作者:
Kriegstein AR
影响因子:
48
作者:
Bian S;Repic M;Guo Z;Kavirayani A;Burkard T;Bagley JA;Krauditsch C;Knoblich JA
通讯作者:
Knoblich JA
影响因子:
64.5
作者:
Gao D;Vela I;Sboner A;Iaquinta PJ;Karthaus WR;Gopalan A;Dowling C;Wanjala JN;Undvall EA;Arora VK;Wongvipat J;Kossai M;Ramazanoglu S;Barboza LP;Di W;Cao Z;Zhang QF;Sirota I;Ran L;MacDonald TY;Beltran H;Mosquera JM;Touijer KA;Scardino PT;Laudone VP;Curtis KR;Rathkopf DE;Morris MJ;Danila DC;Slovin SF;Solomon SB;Eastham JA;Chi P;Carver B;Rubin MA;Scher HI;Clevers H;Sawyers CL;Chen Y
通讯作者:
Chen Y
影响因子:
11.2
作者:
Galli, R;Binda, E;Vescovi, A
通讯作者:
Vescovi, A
影响因子:
3
作者:
Al-Mayhani, Talal M. Fael;Ball, Siolian L. R.;Watts, Colin
通讯作者:
Watts, Colin