TY - GEN
T1 - Quasi-spherical absorbing receiver model of glioblastoma cells for exosome-based molecular communications
AU - Fonseca, Caio
AU - Barros, Michael Taynan
AU - Odysseos, Andreani
AU - Kidambi, Srivatsan
AU - Balasubramaniam, Sasitharan
N1 - Funding Information:
The Fig. 1 depicts the number of the molecular hits on the quasi-sphere GBM receiver model comparing it to a purely spherical model as well as a 3D Monte-Carlo simulation of molecular hits and absorption in a generated GBM model with semi-spheres on its surface in line with the mathematical model in this paper. From the Fig. 1 we can observe that the quasi-sphere GBM receiver model can better describe a more accurate representation of the GBM taking into account its physical features predicting more realistic results regarding molecular hits and absorption than when compared with a pure spherical representation of the GBM receiver. The Fig. 2 represents the mutual information for the quasi-spherical model of the GBM receiver with two different values for the semi-spheres’ radius as well as for a sphere model of the GBM. From the results, we observe that the quasi-spherical model presents a higher mutual information, and consequently, channel capacity than a simple spherical model of the GBM. Our results suggest that the tumor can grow and develop faster due to the higher mutual information when compared with simpler spherical models of GBM tumor models. It can be further concluded that targeted drug-delivery systems could be more effective for the same reasons. ACKNOWLEDGMENT The current work was funded by the EU under grant No. 828837 (EU-H2020-FETOpen GLADIATOR Next-generation Theranostics of Brain Pathologies with Autonomous Externally Controllable Nanonetworks: a Transdisciplinary Approach with Bio-nanodevice Interfaces) and Cyprus Research and Innovation Foundation Grant ENTERPRISES/0618/056 (A fully autologous cell-based system for delivery of molecular therapeutics to brain malignancies). REFERENCES [1] Sasitharan Balasubramaniam, Stefanus A. Wirdatmadja, Michael Taynnan Barros, Yevgeni Koucheryavy, Michal Stachowiak, and Josep Miquel Jornet. 2018. Wireless Communications for Optogenetics-Based Brain Stimulation: Present Technology and Future Challenges. IEEE Communications Magazine 56, 7 (2018), 218–224. [2] Tadashi Nakano, Yutaka Okaie, and Jian Qin Liu. 2012. Channel model and capacity analysis of molecular communication with brownian motion. IEEE Communications Letters 16, 6 (2012), 797–800. [3] K Schulten and I Kosztin. 2000. Lectures in Theoretical Biophysics. Univ. of Illinois Press. [4] Chiocca EA Broekman MLD. van Solinge TS, Nieland L. 2022. Advances in local therapy for glioblastoma - taking the fight to the tumour. Nature Reviews Neurology 18 (2022), 221–236. [5] H. Birkan Yilmaz, Akif Cem Heren, Tuna Tugcu, and Chan Byoung Chae. 2014.
Publisher Copyright:
© 2022 ACM.
PY - 2022/10/5
Y1 - 2022/10/5
N2 - In this paper, we propose a mathematical and computational model for the GBM initiating of recurring focus as a quasi-spherical absorbing receiver considering the irregular shape as a Bernoulli trial process that accounts for the uncontrollable tumor growth over an initial spherical surface. Our results show that when GBM grow to irregular quasi-sphere shapes, they will increase the channel capacity, which is fully aligned with the evolution and configuration of GSC niches in GBM cultures.
AB - In this paper, we propose a mathematical and computational model for the GBM initiating of recurring focus as a quasi-spherical absorbing receiver considering the irregular shape as a Bernoulli trial process that accounts for the uncontrollable tumor growth over an initial spherical surface. Our results show that when GBM grow to irregular quasi-sphere shapes, they will increase the channel capacity, which is fully aligned with the evolution and configuration of GSC niches in GBM cultures.
KW - 3D Modeling
KW - Cancer Targeted Drug-Delivery
KW - Glioblastoma Multiform
KW - Mathematical Modeling
KW - Molecular Communications via Diffusion
UR - http://www.scopus.com/inward/record.url?scp=85139847838&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139847838&partnerID=8YFLogxK
U2 - 10.1145/3558583.3558864
DO - 10.1145/3558583.3558864
M3 - Conference contribution
AN - SCOPUS:85139847838
T3 - Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2022
BT - Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2022
PB - Association for Computing Machinery, Inc
T2 - 9th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2022
Y2 - 5 October 2022 through 7 October 2022
ER -