A novel benzimidazole derivative, MBIC inhibits tumor growth and promotes apoptosis via activation of ROS-dependent JNK signaling pathway in hepatocellular carcinoma
Bibliographic record
Abstract
// Xiaoyun Dai 1, * , Lingzhi Wang 1, 2, * , Amudha Deivasigamni 3, * , Chung Yeng Looi 4 , Chandrabose Karthikeyan 5 , Piyush Trivedi 5 , Arunachalam Chinnathambi 6 , Sulaiman Ali Alharbi 6 , Frank Arfuso 7 , Arunasalam Dharmarajan 7 , Boon Cher Goh 1, 2, 8 , Kam Man Hui 3, 9, 10, 11 , Alan Prem Kumar 1, 2, 12, 13 , Mohd Rais Mustafa 4 , Gautam Sethi 1, 6, 14 1 Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 2 Cancer Science Institute of Singapore, Centre for Translational Medicine, Singapore 3 Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 4 Department of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia 5 School of Pharmaceutical Sciences, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India 6 Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia, 7 Stem Cell and Cancer Biology Laboratory, School of Biomedical Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth WA, Australia 8 Department of Haematology-Oncology, National University Health System, Singapore 9 Institute of Molecular and Cell Biology, A*STAR, Biopolis Drive Proteos, Singapore 10 Cancer and Stem Cell Biology Program, Duke–National University of Singapore Graduate Medical School, Singapore 11 Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 12 Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth WA, Australia 13 Department of Biological Sciences, University of North Texas, Denton, Texas, USA 14 School of Biomedical Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth WA, Australia * These authors contributed equally to this work Correspondence to: Gautam Sethi, email: phcgs@nus.edu.sg Kam Man Hui, email: cmrhkm@nccs.com.sg Mohd Rais Mustafa, email: rais@nm.edu.my Alan Prem Kumar, email: csiapk@nus.edu.sg Keywords: MBIC, HCC, JNK, ROS, apoptosis Received: July 27, 2016 Accepted: December 15, 2016 Published: January 12, 2017 ABSTRACT A prior screening programme carried out using MTT assay by our group identified a series of novel benzimidazole derivatives, among which Methyl 2-(5-fluoro-2-hydroxyphenyl)-1H- benzo[d]imidazole-5-carboxylate (MBIC) showed highest anticancer efficacy compared to that of chemotherapeutic agent, cisplatin. In the present study, we found that MBIC inhibited cell viability in different hepatocellular carcinoma (HCC) cell lines without exerting significant cytotoxic effects on normal liver cells. Annexin V-FITC/PI flow cytometry analysis and Western blotting results indicated that MBIC can induce apoptosis in HCC cells, which was found to be mediated through mitochondria associated proteins ultimately leading to the activation of caspase-3. The exposure to MBIC also resulted in remarkable impairment of HCC cell migration and invasion. In addition, treatment with MBIC led to a rapid generation of reactive oxygen species (ROS) and substantial activation of c-Jun-N-terminal kinase (JNK). The depletion of ROS by N-Acetyl cysteine (NAC) partially blocked MBIC-induced apoptosis and JNK activation in HCC cells. Finally, MBIC significantly inhibited tumor growth at a dose of 25 mg/kg in an orthotopic HCC mouse model. Taken together, these results demonstrate that MBIC may inhibit cell proliferation via ROS-mediated activation of the JNK signaling cascade in HCC cells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".