2021
DOI: 10.30574/gscbps.2021.14.1.0002
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In-silico investigation of curcumin drug-likeness, gene-targets and prognostic relevance of the targets in panels of human cancer cohorts

Abstract: Despite advancements in diagnostic and standard treatment modalities, cancer survival rate remains disappointing globally. It has however, been recognized that exploring the therapeutic properties of secondary metabolite from natural products may alleviate the problems of drug resistance and toxicity that besiege the conventional therapies, and hence improve the overall prognosis of cancer patient. To this end curcumin, a polyphenolic natural compound has been widely studied for it anticancer activities in in … Show more

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Cited by 6 publications
(1 citation statement)
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“…It contains hundreds of phytochemicals, among which sulfur-containing compounds are of therapeutic interest in the field of oncology [ 32 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ]. Previous studies appraised the uses of in silico approaches to assessing biomarkers and the prognostic relevance of genes and gene signatures in a diseased condition based on the available clinical information of cohorts, and also aid in identifying drug-like molecules for targeted therapy [ 42 , 43 , 44 ]. In this study, we used a bioinformatics approach to evaluate the effect of NSP3 expression as well as genetic and epigenetic alterations on the TME with respect to tumor immune evasion mechanisms and prognoses in lung cancer cohorts.…”
Section: Introductionmentioning
confidence: 99%
“…It contains hundreds of phytochemicals, among which sulfur-containing compounds are of therapeutic interest in the field of oncology [ 32 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ]. Previous studies appraised the uses of in silico approaches to assessing biomarkers and the prognostic relevance of genes and gene signatures in a diseased condition based on the available clinical information of cohorts, and also aid in identifying drug-like molecules for targeted therapy [ 42 , 43 , 44 ]. In this study, we used a bioinformatics approach to evaluate the effect of NSP3 expression as well as genetic and epigenetic alterations on the TME with respect to tumor immune evasion mechanisms and prognoses in lung cancer cohorts.…”
Section: Introductionmentioning
confidence: 99%