Abstract
Cancer is a major health burden and a leading cause of death worldwide, with numerous new molecules being studied and developed as therapeutic agents. In this study, the cytotoxicity of compounds derived from
Introduction
Cancer is a fatal illness characterized by uncontrolled cell division and cell immortalization. Cancer cells can be aggressive and invasive, spreading to different organs. According to the American Cancer Society, approximately two million new cancer cases and 600,000 cancer-related deaths were reported in the United States in 2021, the majority of which were caused by prostate, breast, colorectal, and lung cancers. 1 In recent decades, early cancer detection, along with the discovery and development of new technologies and drugs, has revolutionized cancer treatment. However, effective treatments for cancer are still under investigation. Carpenter and Cohen first described epidermal growth factor (EGF), EGF receptors (EGFRs), and many of their biochemical properties. 2 EGFRs were the first receptors for which overexpression and mutation correlated with cancer development, with many studies demonstrating important roles for these proteins in the signal transduction and pathogenesis of various malignancies such as pancreatic, breast, stomach, and lung carcinomas.3,4 EGFRs, also known as ErbB receptors, are members of the receptor tyrosine kinase subclass I protein family. 5 Given the relationship between EGFR and malignancies, the development of small-molecule tyrosine kinase inhibitors (TKIs) has revolutionized modern cancer therapy. For example, lapatinib and neratinib, which target the ErbB2 receptor, are Food and Drug Administration (FDA) approved for the treatment of breast cancer, whereas afatinib, dacomitinib, erlotinib, gefitinib, and osimertinib are EGFR/ErbB1 inhibitors used for the treatment of nonsmall cell lung cancer.6,7 TKIs block vital pathways by targeting signaling molecules that promote cell survival. After translocation through the plasma membrane, TKIs interact with the cytoplasmic domains of tyrosine kinase receptors and inhibit their catalytic activity by interfering with adenosine triphosphate (AT)P or substrate binding. 8
Natural products constitute a substantial repository of potential cancer treatments.9–11 Hence, given the effectiveness and availability of natural products, these resources are regarded as potential antineoplastic candidates. Drug development is a time-consuming and challenging process that begins with target identification and continues through progressive optimization experiments and pre-clinical studies. In addition, virtual screening analyses have facilitated the application of computational methods to pharmacological candidate discovery.12–15 Indeed, it is well-accepted that the combination of computational and experimental approaches can improve drug development success rates. Furthermore, the development of functional foods derived from medicinal plants is a prominent area of research.
Results
Structure Determination of the Isolated Compound
The methanolic extract of the aerial parts of
9-Deoxygoniopypyrone (1),

Structures of compounds isolated from
In Vitro Cytotoxicity Assay
Cytotoxic Activities of Crude and Fractionated Extracts of
IC50 (concentration that inhibits 50% of cell growth).
Positive control.
Molecular Docking Analysis
Our cytotoxicity experiments showed that liriodenine and lysicamine can inhibit the proliferation of different cancer cell lines. Therefore, we performed molecular mechanism studies of these compounds to further improve their efficacy. EGFR is a cell-surface receptor associated with a wide array of cancers, including breast, anal, ovarian, and lung cancers. Thus, we hypothesized that liriodenine and lysicamine inhibit cancer cells by binding to EGFR. The three-dimensional (3D) structures of these compounds were downloaded from the PubChem database and docked to the active site of EGFR. To validate the docking protocol and protein structure (PDB ID: 1XKK), we re-docked the ligand in the EGFR crystal structure and analyzed the root mean square deviation (RMSD) of the docking pose against the crystal pose. This analysis demonstrated that the docking pose recapitulated the conformation and orientation of the crystal pose, with an RMSD of 0.462 Å (Figure 2). Previous studies have considered RMSDs within 2 Å to be credible for docking experiments, 24 thereby validating the docking protocol of the present study.

Docking pose (yellow) and crystal pose (green) of the ligand in the crystal structures of epidermal growth factor receptor.
In addition, osimertinib is a commercial cancer drug known to inhibit EGFR. Therefore, we selected osimertinib as a reference inhibitor. The results of our docking study revealed that liriodenine and lysicamine achieved better docking scores than osimertinib (−8.0 kcal/mol) (Table 2).
Docking Results of Candidates Toward EGFR Protein.
According to the results of our docking analysis, liriodenine interacted with EGFR via hydrogen bonds at Lys745 and Leu792, and hydrophobic interactions at Leu718, Ala743, Leu844, and Val726 (Figure 3a). Similarly, lysicamine interacted with EGFR via hydrophobic interactions at five amino acids, including Leu718, Leu844, Ala743, Lys745, and Val726 (Figure 3b). Structurally, liriodenine and lysicamine are alkaloids that contain an oxoaporphine scaffold. The oxoaporphine alkaloid family has been used to treat a variety of diseases,25,26 including Alzheimer’s disease and several types of cancer, and has been investigated in mouse models of depression and

(a) Interaction between liriodenine and EGFR. (b) Interaction between lysicamine and EGFR. Abbreviation: EGFR, epidermal growth factor receptor.

Interaction between osimertinib and epidermal growth factor receptor.
Molecular Dynamics Analysis
Small molecules interacting with the surfaces of proteins can elicit large changes in tertiary protein structure, which can ultimately lead to improvements in drug design. The primary advantage of molecular dynamics modeling is its ability to identify the flexibility of protein-ligand complexes. Indeed, this method has been previously used to evaluate the thermodynamics and kinetics of drug-enzyme binding. Accordingly, the 100 ns trajectories of the liriodenine and lysicamine complexes were analyzed to evaluate their stability.
In general, the RMSD of the liriodenine–EGFR complex indicated prolonged stability of both the protein and the ligand in the 100 ns period (Figure 5a). After approximately 20 ns, the system reached a stable state and maintained its pose throughout the simulation time. The overall final RMSD of 0.3 nm was within the acceptable upper threshold of 0.4 nm, confirming the validity and stability of the complex in the 100 ns simulation. The root mean square fluctuation (RMSF) is an indicator of protein residue flexibility during ligand interactions (Figure 5b). A residue with an RMSF value of <0.2 nm is generally considered as a stable amino acid. Overall, the liriodenine binding site (residues ∼700-850) remained stable in the presence of the ligand. The radius of gyration (Rg) is a measure of a protein’s volume change and compactness (Figure 5c). Moreover, the solvent-accessible surface area (SASA) helps to visualize a protein’s conformational change after binding to a ligand. Both of these values fluctuated modestly with amplitudes of 0.05 nm (for Rg) and 15 nm2 (for SASA) (Figure 5d), thus confirming the stability of the protein and the complex.

(a) RMSD, (b) RMSF, (c) radius of gyration, and (d) SASA of the liriodenine–EGFR complex. Abbreviations: EGFR, epidermal growth factor receptor; RMSD, root mean square deviation; RMSF, root mean square fluctuation; SASA, solvent-accessible surface area.
Overall, similar results were obtained for the lysicamine–EGFR complex. The RMSD of the lysicamine complex, approximately 0.25 nm, was lower than that of the liriodenine complex (Figure 6a). The system also acquired a stable state much more rapidly—during the first 2 ns—and remained stable for 100 ns. The RMSF for most residues fell within the accepted upper threshold of 0.2 nm, and the binding site region (residues 700-850) saw even less fluctuation than the liriodenine complex (Figure 6b). In addition, the low Rg and SASA values were similar to those of the liriodenine complex, once again proving the stability of EGFR over the course of our simulations (Figure 6c and d).

(a) RMSD, (b) RMSF, (c) radius of gyration, and (d) SASA of the lysicamine–EGFR complex. Abbreviations: EGFR, epidermal growth factor receptor; RMSD, root mean square deviation; RMSF, root mean square fluctuation; SASA, solvent-accessible surface area.
Contact Frequency
The residue Cys797 plays an important role in regulating tyrosine kinase activity. 30 Notably, this key EGFR residue interacted with both liriodenine and lysicamine with high-frequency contacts during the simulation period (Figure 7). In addition, residues including Leu718, Ala743, and Leu844 also contributed high-frequency contacts with both candidates during our simulations. These results suggest a role for these residues in regulating protein activity in biological pathways. However, further mutational experiments are needed to confirm these findings.

(a) Contact frequency at the liriodenine docking site. (b) Contact frequency at the lysicamine docking site.
Binding Free Energy (MM/PBSA Calculations)
At the final stage of simulation, molecular mechanics Poisson–Boltzmann surface area (MM/GBSA) analysis of the complexes revealed that the binding free energies of liriodenine and lysicamine were −92.908 and −91.073 kJ/mol, respectively (Supplemental material). In particular, the binding free energy of the liriodenine complex ranged from −80 to −120 kJ/mol after the first 20 ns (the time at which the complex reached a stable state). The binding free energy of the lysicamine complex ranged from −60 to −120 kJ/mol, further explaining the potency of the
Discussion
Previous studies have shown that medicinal plants in the
Two isolated alkaloids—namely, lysicamine and liriodenine—are oxoaporphine alkaloids in which positions 1 and 2 have been substituted for methoxy and dioxymethylene groups. 35 Previous work has demonstrated that lysicamine strongly inhibits the growth of MCF-7 breast cancer cells and HCT-116 colon cancer cells. 36 Unlike lysicamine, the chemical structure of liriodenine contains a methylenedioxy group. In previous studies, chemical derivatives containing methylenedioxy groups showed cytotoxicity toward human cancer cells. 37 Combined with the EGFR interaction simulation results from the present study, these data show that liriodenine inhibits the growth of cancer cells more strongly than lysicamine. Specifically, liriodenine inhibited the growth of cancer cells such as human carcinoma KB, human lung adenocarcinoma A-549, human colon carcinoma HCT-8, mouse leukaemia P-388, and mouse lymphocytic leukemia L-1210 cells with IC50 values of 3.6, 2.6, 2.5, 2.1, and 8.5 μM, respectively. It also inhibited the growth of MCF-7, NCI-H460, and nerve SF-268 cells with IC50 values of 3.19, 2.38, and 2.19 μg/mL, respectively.38,39 The cytotoxic activity of liriodenine can be explained by three main mechanisms. First, it inhibits the enzyme topoisomerase II, which plays an important role in unwinding DNA. This suppression leads to inhibition of DNA synthesis during the G1 phase of the cell cycle, indirectly causing cell death. 40 In addition, liriodenine also inhibits the G2/M phase of the lung cancer cell cycle by enabling cyclin B1 accumulation and inhibiting the activity of the cyclin B1/cyclin-dependent kinase 1 complex. Furthermore, liriodenine induces apoptotic cell death. 41 Specifically, liriodenine inhibited the proliferation of CAOV-3 ovarian cancer cells after 24 h of treatment with 37.3 μM, and induced apoptosis via the mitochondrial pathway by activating caspase-3 and caspase-9. 42 In the present study, we demonstrated that lysicamine and liriodenine inhibit cancer cell growth by directly interacting with EGFR, an established target in cancer drug development. Our results show the potential of natural compounds to be developed into new cancer treatments, either via synthetic or semisynthetic approaches. Although further studies are needed to evaluate toxicity and molecular mechanisms, we believe that these valuable results could open up new directions for future cancer treatments.
Conclusions
Cancer is a major worldwide health burden and a leading cause of death, with numerous molecules being studied and developed as therapeutic agents. In this study, we evaluated the ability of
Material and Methods
Collection of Plant Material
In July 2020, the aerial parts of
General Experimental Procedures
Column chromatography was run using silica gel (60 N, spherical, neutral, 40-50 μm, Kanto Chemical Co., Inc., Tokyo, Japan), Sephadex LH-20 (Dowex® 50WX2-100, Sigma–Aldrich, USA) and YMC RP-18 (Fuji Silysia Chemical Ltd, Kasugai, Aichi, Japan). Analytical thin layer chromatography (TLC) was performed on pre-coated silica gel 60F254 and RP-18 F254S plates (Merck KGaA, Darmstadt, Germany). NMR spectra were recorded using a Bruker Advance 500 spectrometer (Billerica, Massachusetts) with tetramethylsilane (TMS) as the internal reference. Human colon adenocarcinoma (SW-480), gastric cancer (AGS), and lung cancer (LU-1) cell lines were used for the cytotoxic activity determinations. 96-well plates and cell culture flasks were from Corning Inc. (Corning, NY, USA). The absorbance in the cytotoxicity assay was measured using an enzyme-linked immunosorbent assay (ELISA) reader (Bio-Rad, CA, USA).
Extraction and Isolation
Dried
Based on the activity-guided fractionation method, the ethyl acetate soluble fraction (83.3 g) was applied to a silica gel column and eluted with a gradient of
In Vitro Assay
The cytotoxic activity of crude extract, fractions, and compounds from the aerial parts of
Protein and Ligand Preparation
The 3D structure of EGFR (PDB ID: 1XKK) were downloaded from Protein Data Bank. The process of removing unrelated cocrystallized ligands and water molecules was done by using PyMol software. Then, molecular hydrogens were added to the protein using the AutoDock Tool 1.5.6. Finally, the protein structure was saved into a dockable pdbqt format in preparation for molecular docking. The information on the composition of the
Molecular Docking
The molecular docking process of EGFR was carried out using the program AutoDock Vina 1.1.2. The grid box covering the active site of the protein was determined using the position of crystal ligand. The grid boxes of EGFR were identified with the parameters: center_x = 18.5, center_y = 35.2, center_z = 41.8, size_x = 30, size_y = 18.75, and size_z = 18.75. Docking scores were reported in kcal/mol. Results of interactions between compounds and EGFR were visualized by software Discovery Studio Visualizer 2020.
Molecular Dynamics Simulation
Molecular dynamics experiments were simulated using the GROMACS 2020.4 engine to investigate further the stability of the two ligands liriodenine and lysicamine in complex with EGFR. The complex’s topology was prepared under the CHARMM36 forcefield and solvated in a truncated octahedral box containing TIP3P water molecules. Potassium and chlorine ions were added at a concentration of 0.15M to neutralize the net charge. Energy minimization was repeated with 5000 steps using the Steepest Descent Method, with the convergence criterion being the maximum force reaching <1000 kJ/mol/nm. Afterwards, the systems were equilibrated under the isothermal-isochoric (NVT) and isothermal-isobaric (NPT) ensembles for 100 and 1000 ps, resp for each of the complex, respectively. The target value of 300 K temperature and 1 bar pressure was achieved to ensure a fully stabilized system. Finally, the production molecular dynamic simulation was run for 100 ns for each of the complexes.
Binding Free Energy (MM/PBSA Calculations)
The MM/GBSA model was utilized for calculating the relative binding free energy and implemented using MOLAICAL script.
44
The free binding energy for a complex can be estimated as follows:
Supplemental Material
sj-docx-1-npx-10.1177_1934578X221138435 - Supplemental material for Phytochemicals Derived from Goniothalamus elegans Ast Exhibit Anticancer Activity by Inhibiting Epidermal Growth Factor Receptor
Supplemental material, sj-docx-1-npx-10.1177_1934578X221138435 for Phytochemicals Derived from
Footnotes
Acknowledgements
This research was supported by the Hue University (Vietnam) under grant number DHH2020-04-112. We are grateful to Mr Anh Tuan Le (Mientrung Inst. for Scientific Research, VAST, Quang Tri, Viet Nam) for collecting the plant material, and Mr Luong Vu Dang (Institute of Chemistry, VAST, Hanoi, Viet Nam) for recording the NMR spectra.
Statement of Human and Animal Rights
This article does not contain any studies with human or animal subjects.
Statement of Informed Consent
There are no human subjects in this article and informed consent is not applicable.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Hue University (Vietnam) (grant number DHH2020-04-112).
Supplemental Material
Supplemental material for this article is available online.
References
Supplementary Material
Please find the following supplemental material available below.
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