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

Authors
Lim Jin HongPark, Keun wanChoi Kyung HwaKim Chan WungLee Jae HaWeicker RaymondPAN, CHEOL HOKim Seok-MoPark Ki Cheong
Issue Date
2022-07
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
International Journal of Molecular Sciences, v.23, no.14
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.
Keywords
CA2+ HOMEOSTASIS; OVARIAN-CANCER; CALCIUM PUMPS; APOPTOSIS; RESISTANCE; SERCA; CHEMOTHERAPY; MITOCHONDRIA; NEOADJUVANT; STRESS; candidate 19; candidate 23; cancer stem cells; patient-derived anti-cancer drug-resistant hepatocellular carcinoma; endoplasmic reticulum stress; sarcoplasmic; endoplasmic reticulum calcium ATPase; thapsigargin
ISSN
1661-6596
URI
https://pubs.kist.re.kr/handle/201004/76665
DOI
10.3390/ijms23147971
Appears in Collections:
KIST Article > 2022
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