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Bioinformatics of the Brain
radiotherapy on the mortality due to GBM. Thus, a platform to investigate
the efficiency of any therapy has utmost importance to determine the course
of the treatment. Various 3D systems are applied as models in the analysis of
radiation dosage and resistance mechanisms for tumors [168, 216]. In order to
achieve this goal, McMillan et al. investigated the effect of radiation dosage
on UWV spheroid setting and concluded that 8 Gy dose sufficiently impaired
tumor growth and size both in large and small spheroids compared to 4 Gy
dose. Size is not the only limiting factor, as quiescent tumor cells within the
population alter the potency of irradiation-induced toxicity on tumors. As
reported, dormant UWV spheroids were more aggressive and resistant to ra-
diation probably due to their ability to respond fast to repair DNA damage
compared nutrient rich ones [168].
3.4.5
Biobanking
Biobanking is another area of interest for GBM models as it serves as a source
of biological material and related medical data with systematic information.
This collection of samples and other data have been stored to create patient-
like models in personalized medicine, to model diseases, to obtain omics data
for various conditions and other applications in information technologies to
revolutionize current translational oncology [217, 218]. Frozen GBM tissue,
formalin-fixed, and paraffin-embedded block of GBM tissue [217, 219], single
cell lines from tumors [220] or patient-derived organoid biobanks [156, 157]
are developed for GBM biobanking during research and as a component of
national clinical database. Single cell and tissue biobanking are desirable, as
they provide comparable profile with public datasets, and they can be used as
drug test platforms for screening and designing effective treatment methods
for personalized medicine [220–222].
3.5
Concluding Remarks
Uncontrolled growth of cells with diverse genotypic and phenotypic collection
in the CNS has been one of the deadliest cases for patient survival. So far,
many research has been directed to improve the prognosis of GBM patients
and, to achieve success in clinics, well-suited in vitro models have been recog-
nized as necessity to develop various treatment strategies. During this process,
tumor biology has been dissected and critical role of both soluble factors and
ECM and, tumor residing and infiltrating cells were delineated. This led to
acknowledgement of the potential models with dimensional, cellular, physical,
and chemical differences to lessen the gap between in vitro and in vivo. Today,
these systems have been investigated in a wide array of applications including
the discovery of different treatments, possibility of personalized medicine, to