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Drug Discovery Using Evolutionary Similarities in Chemical Binding to Inhibit Patient-Derived Hepatocellular Carcinoma.

Authors :
Lim JH
Park K
Choi KH
Kim CW
Lee JH
Weicker R
Pan CH
Kim SM
Park KC
Source :
International journal of molecular sciences [Int J Mol Sci] 2022 Jul 19; Vol. 23 (14). Date of Electronic Publication: 2022 Jul 19.
Publication Year :
2022

Abstract

Drug resistance causes therapeutic failure in refractory cancer. Cancer drug resistance stems from various factors, such as patient heterogeneity and genetic alterations in somatic cancer cells, including those from identical tissues. Generally, resistance is intrinsic for cancers; however, cancer resistance becomes common owing to an increased drug treatment. Unfortunately, overcoming this issue is not yet possible. The present study aimed to evaluate a clinical approach using candidate compounds 19 and 23, which are sarcoplasmic/endoplasmic reticulum calcium ATPase (SERCA) inhibitors, discovered using the evolutionary chemical binding similarity method. mRNA sequencing indicated SERCA as the dominant marker of patient-derived anti-cancer drug-resistant hepatocellular carcinoma (HCC), but not of patient-derived anti-cancer drug-sensitive HCC. Candidate compounds 19 and 23 led to significant tumor shrinkage in a tumor xenograft model of anti-cancer drug-resistant patient-derived HCC cells. Our results might be clinically significant for the development of novel combinatorial strategies that selectively and efficiently target highly malignant cells such as drug-resistant and cancer stem-like cells.

Details

Language :
English
ISSN :
1422-0067
Volume :
23
Issue :
14
Database :
MEDLINE
Journal :
International journal of molecular sciences
Publication Type :
Academic Journal
Accession number :
35887321
Full Text :
https://doi.org/10.3390/ijms23147971