Cancer drug therapy and stochastic modeling of &amp;ldquo;nano-motors&amp;rdquo;

Sherin, Lubna; Farwa, Shabieh; Sohail, Ayesha; Li, Zhiwu; Bég, O. Anwar

doi:10.2147/ijn.s168780

Cited by 8 publications

(9 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kinesins play an important role in mitosis, and its abnormal expression or dysfunction can lead to malignant transformation of cells [14,[26][27][28]. Due to their important role in mitosis, kinesin family has become the target of chemotherapy intervention in malignant tumor [29].…”

Section: Discussionmentioning

confidence: 99%

High Expression Levels of KIF18A is an Independent Predictor of Poor Survival in Glioma: A Study Using Multi Public Data

Chang¹,

Wang²,

Li³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Kinesin family member 18A (KIF18A) belongs to a member of the kinesin superfamily and is significantly overexpressed and abnormally functions in a variety of cancers. However, the expression profiling and the role of KIF18A has so far remained unclear in glioma. To investigate the relationship of KIF18A with clinical practice and its role in gliomas, the data from multi public datasets were used and analyzed in present study.Methods: Patients with gliomas were enrolled from CGGA RNA-seq, TCGA-seq, CGGA-microarray, GSE4290 and GSE50161 databases. The expression of KIF18A in glioma and normal tissues was analyzed through Wilcoxon rank sum test, and the relationship between KIF18A and clinicopathological features was evaluated using logistic regression. The effect of KIF18A expression in the survival of glioma patients was explored by Kaplan-Meier and Cox analyses. Gene set enrichment analysis was also conducted to annotate biological function of KIF18A.Results: KIF18A expression was significantly increased in glioma tissues compared with the normal counterparts. High KIF18A expression shortened the overall survival in all grades gliomas and the survival period of patients with WHO grade Ⅲ glioma, but not significantly for grade Ⅱ and grade Ⅳ glioma. Univariate and multivariate analyses demonstrated that evaluated KIF18A expression is closely related to poor prognosis. Increased KIF18A expression was significantly correlated grades, age, IDH wide type and may serve as a biomarker of poor prognosis in gliomas. GSEA showed that the KEGG_DNA_REPLICATION, the KEGG_CELL_CYCLE, the KEGG_MISMATCH_REPAIR and the KEGG_NUCLEOTIDE_EXCISION_REPAIR were differentially enriched in KIF18A high expression phenotype.Conclusions: High expression KIF18A might be potential biomarker for the diagnosis and an independent risk factor for poor prognosis in glioma.

show abstract

Section: Discussionmentioning

confidence: 99%

High Expression Levels of KIF18A is an Independent Predictor of Poor Survival in Glioma: A Study Using Multi Public Data

Chang¹,

Wang²,

Li³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…These inhibitors arrest cells in mitosis, producing characteristic monoastral spindles [108,109,149], and lead to apoptosis in proliferative tissues either by binding to loop 5 or other allosteric sites and inhibiting ATPase activity [30,102,103,111,149,272]. To develop and test promising Eg5 inhibitors, different approaches are used, including in silico drug-design predictive tools that seek to bridge computational modeling with drug design and cancer therapy [259,273,274]. Based on these studies, several kinesin-5 inhibitors are currently in clinical trial [29,[275][276][277].…”

Section: Kinesin-5 Motors and Pathological Conditionsmentioning

confidence: 99%

Mechanisms by Which Kinesin-5 Motors Perform Their Multiple Intracellular Functions

Pandey

Popov

Goldstein-Levitin

et al. 2021

IJMS

View full text Add to dashboard Cite

Bipolar kinesin-5 motor proteins perform multiple intracellular functions, mainly during mitotic cell division. Their specialized structural characteristics enable these motors to perform their essential functions by crosslinking and sliding apart antiparallel microtubules (MTs). In this review, we discuss the specialized structural features of kinesin-5 motors, and the mechanisms by which these features relate to kinesin-5 functions and motile properties. In addition, we discuss the multiple roles of the kinesin-5 motors in dividing as well as in non-dividing cells, and examine their roles in pathogenetic conditions. We describe the recently discovered bidirectional motility in fungi kinesin-5 motors, and discuss its possible physiological relevance. Finally, we also focus on the multiple mechanisms of regulation of these unique motor proteins.

show abstract

“…Kramer's seminal paper (1940) has been a prototype for a thermal activation process continually. Lately, activation in the presence of time varying fields has become a topic of vast significance because of the findings of many counterintuitive noise supported special effects, such as stochastic resonance (Gammaitoni et al 1998) or movement in Brownian motors (Sherin et al 2018).…”

Section: Mathematical Kinetics and Mutationmentioning

confidence: 99%

Forecasting the action of CAR-T cells against SARS-corona virus-II infection with branching process

Al-Utaibi

Nutini

Sohail

et al. 2021

Model. Earth Syst. Environ.

Self Cite

View full text Add to dashboard Cite

The CAR-T cells are the genetically engineered T cells, designed to work specifically for the virus antigens (or other antigens, such as tumour specific antigens). The CAR-T cells work as the living drug and thus provides an adoptive immunotherapy strategy. The novel corona virus treatment and control designs are still under clinical trials. One of such techniques is the injection of CAR-T cells to fight against the COVID-19 infection. In this manuscript, the hypothesis is based on the CAR-T cells, that are suitably engineered towards SARS-2 viral antigen, by the N protein. The N protein binds to the SARS-2 viral RNA and is found in abundance in this virus, thus for the engineered cell research, this protein sequence is chosen as a potential target. The use of the sub-population of T-reg cells is also outlined. Mathematical modeling of such complex line of action can help to understand the dynamics. The modeling approach is inspired from the probabilistic rules, including the branching process, the Moran process and kinetic models. The Moran processes are well recognized in the fields of artificial intelligence and data science. The model depicts the infectious axis "virus-CAR-T cells-memory cells". The theoretical analysis provides a positive therapeutic action; the delay in viral production may have a significant impact on the early stages of infection. Although it is necessary to carefully evaluate the possible side effects of therapy. This work introduces the possibility of hypothesizing an antiviral use by CAR-T cells.

show abstract

Cancer drug therapy and stochastic modeling of “nano-motors”

Cited by 8 publications

References 44 publications

High Expression Levels of KIF18A is an Independent Predictor of Poor Survival in Glioma: A Study Using Multi Public Data

High Expression Levels of KIF18A is an Independent Predictor of Poor Survival in Glioma: A Study Using Multi Public Data

Mechanisms by Which Kinesin-5 Motors Perform Their Multiple Intracellular Functions

Forecasting the action of CAR-T cells against SARS-corona virus-II infection with branching process

Contact Info

Product

Resources

About