Oncological Ligand-Target Binding Systems and Developmental Approaches for Cancer Theranostics

Jeevanandam, Jaison; Sabbih, Godfred; Tan, Kei Xian; Danquah, Michael K.

doi:10.1007/s12033-020-00296-2

Cited by 5 publications

(1 citation statement)

References 137 publications

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“…Aptamers are single-stranded oligonucleotides (RNA or DNA) capable of binding to specific target molecules [52,60]. Its application in the detection and treatment of several types of malignancy has been studied extensively with impressive results in binding specificities to various types of small molecules including antigens and toxins [61][62][63][64]. Beneficial properties of aptamers include their ability to be conjugated with other molecules to improve their stability and attach fluorescence molecule for imaging, to name a few [51,60,65,66].…”

Section: Gd2 Detection Using Aptamersmentioning

confidence: 99%

Neuroblastoma GD2 Expression and Computational Analysis of Aptamer-Based Bioaffinity Targeting

Sabbih

Danquah

2021

IJMS

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Neuroblastoma (NB) is a neuroectodermal embryonic cancer that originates from primordial neural crest cells, and amongst pediatric cancers with high mortality rates. NB is categorized into high-, intermediate-, and low-risk cases. A significant proportion of high-risk patients who achieve remission have a minimal residual disease (MRD) that causes relapse. Whilst there exists a myriad of advanced treatment options for NB, it is still characterized by a high relapse rate, resulting in a reduced chance of survival. Disialoganglioside (GD2) is a lipo-ganglioside containing a fatty acid derivative of sphingosine that is coupled to a monosaccharide and a sialic acid. Amongst pediatric solid tumors, NB tumor cells are known to express GD2; hence, it represents a unique antigen for subclinical NB MRD detection and analysis with implications in determining a response for treatment. This article discusses NB MRD expression and analytical assays for GD2 detection and quantification as well as computational approaches for GD2 characterization based on high-throughput image processing and genomic data analysis.

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