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. 2025 Nov 28;2025:2565084. doi: 10.1155/jskc/2565084

Phytochemicals From Houttuynia cordata Thunb as Potential Inhibitors of BRAF, MEK, and ERK: Insights From Molecular Docking

Mongkol Yanarojana 1, Salunya Tancharoen 2,, Thamthiwat Nararatwanchai 1, Somchai Yanarojana 3
PMCID: PMC12680463  PMID: 41355975

Abstract

This study utilized molecular docking techniques to investigate the potential of phytochemical compounds in Houttuynia cordata Thunb. extract as inhibitors of the oncogenic MAPK signaling pathway in melanoma. The docking results revealed that several phytochemical compounds exhibited favorable binding interactions with the BRAFV600E, MEK, and ERK ATP-binding site. A total of 16 compounds have high affinity (binding energies < −9 kcal/mol) for BRAFV600E, 13 compounds for MEK-1, 6 compounds for MEK-2, 18 compounds for ERK-1, and 10 compounds for ERK-2. Hesperidin exhibited the lowest binding energy to BRAFV600E (−10.216 kcal/mol) and ERK-2 (−10.336 kcal/mol). Quercitrin has the lowest binding energy against MEK-1 (−9.963 kcal/mol), 3-hydroxy-β-sitost-5-en-7-one demonstrated the lowest binding energy to ERK-1 (−10.495 kcal/mol), and rutin was best against MEK-2 with a calculated binding energy value of −9.963 kcal/mol. The binding modes of these compounds are compared with the known inhibitors of the oncoprotein targets that showed similar interactions to key amino acid residues indicating their inhibitory potential and are suggested as promising candidates for melanoma treatment.

Keywords: BRAF, docking, ERK, hesperidin, Houttuynia cordata Thunb., melanoma, quercetin, RAF, rutin

1. Introduction

Melanoma is a highly aggressive form of skin cancer that originates in melanocytes. Advanced stages of melanoma is characterized by its rapid proliferation, invasion, and metastasis and in many cases, it has been implicated to resistance to conventional therapeutics [1]. Many patients with metastatic forms of melanoma face poor prognosis with 1-year survival rates ranging from 33% to 62%, depending on the stage of the disease [24]. Activation of mutant RAS oncogenes is common in human cancers, and about 15%–20% of melanoma patients contain NRAS mutations, which are oncoproteins that activate BRAF signaling pathways [5]. To a greater extent, approximately 40%–60% of melanoma patients have BRAF mutations [6], and amongst these patients, 80%–90% exhibit a substitution of valine with glutamic acid at codon 600 (BRAFV600E) [68]. This mutation leads to the constitutive activation of the mitogen-activated protein kinase (MAPK) signaling pathway, resulting in uncontrolled cell growth and proliferation [9], thus BRAF mutants has been designated as a crucial drug target for the treatment of melanoma.

BRAF inhibitor drugs, such as dabrafenib and vemurafenib, inhibit BRAF mutants at the ATP binding site, which impedes BRAF signaling in the MAPK pathway, suppressing tumor growth [1012]. However, resistance is common in monotherapy, necessitating combination treatments; combining BRAF and MEK inhibitors, such as trametinib and cobimetinib, has shown improvements in patient response and survival rates [13, 14]. Clinically approved MEK inhibitors target the allosteric site of MEK in the MAPK pathway. The combination use of BRAF and MEK inhibitors has become a standard first-line treatment for BRAF-mutant melanoma. However, these regimens have been conferred to resistance in tumors [15], and a need for new therapeutics is warranted. Recent advances include the development of ATP-competitive MEK and ERK inhibitors targeting the same MAPK pathway, which has shown potent growth inhibition of human tumors with resistance against standard BRAF and MEK inhibitors in vitro [16, 17] and in clinical trials [18]. So far, there are no drugs that selectively target ERKs and the ATP-binding site of MEK, which draws strong interest from researchers.

Plu-khao (Houttuynia cordata Thunb.) belongs to the Saururaceae family, also sometimes known as the “lizard's tail family,” native to North America, East and Southeast Asia. Plu-khao is a common plant used in traditional Thai cuisine, and due to its various pharmacological properties, including anticancer, antiallergy, antiviral, antibacterial, antioxidant, and anti-inflammatory properties, it is also used in traditional medicine [19]. Our previous in vitro study [20] revealed the antiproliferative effects and apoptosis-inducing properties of Houttuynia cordata Thunb. extracts against human A375 melanoma cells, which naturally harbor the BRAFV600E oncogene [21]. This study takes a step further by employing molecular-docking simulations to investigate the potential inhibitory action of the MAPK signaling pathway and interactions of 74 phytochemical compounds from Houttuynia cordata Thunb. with BRAF, MEK, and ERK oncoproteins.

2. Materials and Methods

2.1. Retrieval and Preparation of Ligands for Molecular Docking

An extensive literature review was conducted to collect a comprehensive list of phytochemical compounds contained in Houttuynia cordata Thunb., as provided in Table S1 (Supporting Informations) [22]. Seventy-four phytochemical compounds were taken as ligands, and their chemical structures were downloaded in SDF file format from the PubChem database (https://pubchem.ncbi.nlm.nih.gov/) [23, 24]. Furthermore, ATP-competitive inhibitors were downloaded from the same source in SDF format and taken as ligands: a BRAF inhibitor drug, dabrafenib (CID: 44462760), a MEK inhibitor, MAP855 (CID: 90647159), and an ERK inhibitor, ulixertinib (CID: 11719003). The ligands were then prepared using the Open Babel tool (v 2.4.1) [25] of PyRx software (v1.1) [26] by minimizing their energies and converted into PDBQT file format for molecular docking simulations.

2.2. Retrieval and Preparation of Target Proteins for Molecular Docking

The three-dimensional (3D) structures of 5 target proteins were downloaded in PDB file format from the Protein Data Bank (PDB) [27]: BRAFV600E (PDB ID: 3OG7 [10]), MEK-1 (PDB ID: 3SLS [28]), MEK-2 (PDB ID: 1S9I [29]), ERK-1 (PDB ID: 4QTB [30]), and ERK-2 (PDB ID: 6GDQ [31]). The target proteins were first prepared by removing solvents and cocrystallized ligands, addition of hydrogen atoms, partial charge adjustments, 3D protonation, and energy minimization using Discovery Studio Visualizer (Version 21.1.0.20290).

2.3. Molecular Docking Study

The PyRx with Vina Wizard was utilized in molecular docking simulations between 77 ligands and 5 target proteins to determine the binding affinities and ligand-protein interactions. The prepared structures of the target proteins were imported into PyRx and converted into PDBQT file format. An exhaustiveness value of 20 was used to maximize the ligand–protein binding conformational investigations. The best-docked conformations, characterized by the lowest docking scores and root mean square deviations (RMSDs), were selected for further analysis. Finally, Discovery Studio Visualizer was used to visualize the interactions between ligand and the target proteins.

3. Results and Discussion

To predict the potency of phytochemical compounds in Houttuynia cordata Thunb. against the ATP binding sites of the kinases in MAPK signaling pathway for melanoma treatment, molecular docking simulations were performed using AutoDock Vina 1.2.5 [32]. The docking scores (binding energy) are shown in Table S2 (Supporting Information) and summarized for ease of illustration in a histogram shown in Figure 1. The binding energy ranges for the phytochemical compounds are as follows: −4.481–−10.216 kcal/mol for BRAFV600E, −4.667–−9.963 kcal/mol for MEK-1, −4.411–−9.917 kcal/mol for MEK-2, −4.318–−10.495 kcal/mol for ERK-1, and −4.517–−10.336 kcal/mol for ERK-2. The ligands were categorized into predicted weak inhibitors with binding energies > −7 kcal/mol, modest inhibitors with binding energies ranging from −7 to −9 kcal/mol and strong inhibitors with binding energies < −9 kcal/mol. In Figure 1, 16 compounds as strong inhibitors of BRAFV600E mutant, 13 compounds as strong MEK-1 inhibitors, 6 compounds as strong MEK-2 inhibitors, 18 compounds as strong ERK-1, and 10 compounds as strong ERK-2 inhibitors; a tabulated list of phytochemical compounds with strong inhibition against the target proteins is provided in Table 1.

Figure 1.

Figure 1

The binding energies of the phytochemical compounds with 5 target protein kinases: BRAFV600E, MEK-1, MEK-2, ERK-1, and ERK-2.

Table 1.

Binding energies of phytochemical compounds with predicted strong inhibition against 5 target protein kinases.

Compound number Compound class Compound name Binding energy (kcal/mol)
BRAFV600E MEK-1 MEK-2 ERK-1 ERK-2
1 Flavonoid Luteolin −8.842 −8.889 −8.759 −8.763 −8.321
2 Flavonoid Quercetin −8.873 −9.271 −8.854 −8.600 −8.110
3 Flavonoid Isorhamnetin −8.597 −8.555 −8.610 −8.550 −8.059
4 Flavonoid Quercitrin −9.081 −9.963a −8.888 −9.735 −8.750
5 Flavonoid Isoquercitrin −9.187 −9.165 −8.805 −8.882 −8.736
6 Flavonoid Hyperin −8.904 −9.130 −8.590 −9.042 −8.047
7 Flavonoid Avicularin −8.888 −9.066 −8.653 −9.262 −8.342
8 Flavonoid Rutin −9.435 −9.658 −9.917a −9.256 −9.605
9 Flavonoid Catechin −8.674 −9.052 −8.670 −8.538 −8.005
10 Flavonoid Apigenin −8.865 −8.540 −8.311 −8.465 −8.167
11 Flavonoid Kaempferol −8.896 −8.923 −8.456 −8.369 −7.821
12 Flavonoid Afzelin −8.846 −9.564 −8.380 −9.457 −8.407
13 Flavonoid Phlorizin −9.066 −9.248 −8.594 −9.203 −8.652
14 Flavonoid Hesperidin −10.216a −9.668 −8.987 −10.365 −10.336a
15 Flavonoid Genistin −9.014 −9.442 −8.960 −9.231 −9.672
16 Aristolactam Aristolactam BII −9.086 −8.537 −9.196 −8.928 −8.704
17 Aristolactam Aristolactam AII −9.184 −8.826 −9.144 −9.543 −8.904
18 Aristolactam Piperolactam A −9.100 −9.844 −9.712 −9.417 −8.788
19 Aristolactam Caldensine −9.113 −7.356 −7.986 −9.178 −9.019
20 Aporphine Splendidine −8.822 −8.286 −8.493 −9.219 −8.910
21 Aporphine Lysicamine −8.936 −8.001 −8.290 −9.191 −8.870
22 Aporphine Cepharadione B −9.389 −7.317 −7.976 −9.494 −9.273
23 Aporphine Norcepharadione B −9.471 −8.918 −8.844 −9.214 −9.181
24 Aporphine 7-Chloro-6-demethylcepha radione B −9.589 −8.250 −8.711 −9.616 −9.323
25 Aporphine Noraristolodione −9.490 −9.179 −8.729 −10.112 −9.218
27 Phenolic Neochlorogenic acid −8.242 −8.281 −8.524 −8.408 −8.027
29 Phenolic Procyanidin B1 −8.140 −8.572 −9.170 −7.532 −8.126
30 Steroid β-Sitosterol −9.084 −7.903 −8.359 −8.442 −8.883
31 Steroid β-Sitosteryl glucoside −8.925 −8.455 −9.232 −8.554 −9.208
32 Steroid 5-α-Stigmastane-3,6-dione −8.942 −7.257 −8.547 −8.421 −8.690
33 Steroid 3-Hydroxy-β-sitost-5-en-7-one −9.233 −7.615 −8.497 −10.495a −9.126
34 Triterpenoid Cycloart-25-ene-3,24-diol −8.954 −8.059 −8.106 −8.304 −8.821
36 Benzamide N-(4-hydroxyphenylethyl) benzamide −7.559 −7.595 −7.496 −7.955 −7.387
75 Dabrafenib −9.528
76 MAP855 −9.764 −8.997
77 Ulixertinib −9.951 −9.361

aPhytochemicals with strongest inhibition properties.

Against BRAFV600E mutant, a total of 16 compounds were predicted to have strong inhibition including 6 flavonoid derivatives, all 4 aristolactams, 4 aporphines, and 2 steroid derivatives. It was predicted that the best inhibitor is hesperidin, a flavonoid derivative, that exhibited a calculated binding energy value of −10.216 kcal/mol, followed by two aporphines, 7-chloro-6-demethylcepharadione B, and noraristolodione with binding energy values of −9.589 and −9.490 kcal/mol, respectively. The calculated binding energy values of dabrafenib is −9.528 kcal/mol. Thus, hesperidin and 7-choloro-6-demethylcepharadione B were predicted to have binding energy values lower than dabrafenib, which indicates the two constituents are the most promising candidates. The predicted binding mode of hesperidin against BRAFV600E mutant is shown in Figure 2(a) and for dabrafenib is shown in Figure 2(b). It was shown that the flavone moiety of hesperidin occupied the deep hydrophobic regions and formed π−π stacking interactions with Phe583 and Trp531, which was seen for other reported flavone-based scaffold inhibitors [33]. Hydrogen bonds were formed between the flavonoid phenol group and residues Thr529, Ala481, Lys483, Ile527, and Cys532. In comparison to dabrafenib, none of these residues formed hydrogen bonds with the drug indicating a distinctive mode of binding. Regardless, these interactions have been reported for other BRAFV600E inhibitors from in silico screening [34]. A key hydrogen bond interaction is between dabrafenib and Asp594 which is part of the DFG motif that regulates the activation of BRAF by allowing ATP to form electrostatic interactions with the Mg2+ ion cofactor, a mechanism crucial for enzyme function [35, 36]; only nonpolar van der Waal's forces were seen between Asp594 and hesperidin. Other nonpolar van der Waal's forces were formed with residues Ile463, Gly464, Ser465, Gly466, Phe468, Val482, Val528, and Asn581; also, other hydrophobic π-interactions include with residues Val471 and Leu514, which has been observed for flavone-based inhibitors [33].

Figure 2.

Figure 2

Predictive binding orientations using molecular docking simulations of hesperidin (a) and dabrafenib (b) against BRAFV600E. All ligands are bounded to the ATP binding site.

Against MEK-1, 13 compounds were predicted to have strong inhibition: 11 flavonoid derivatives, piperolactam A from the aristolactam class, and noraristolodione from the aporphine class. The strongest inhibitors were predicted to be quercitrin, a flavonoid derivative that has binding energy value of −9.963 kcal/mol followed by piperolactam A with binding energy value of −9.844 kcal/mol and hesperidin that scored −9.668 kcal/mol. In comparison to the binding energy of the reference, MAP855 (−9.764 kcal/mol), quercitrin, and piperolactam A were predicted to have stronger binding to MEK-1 and potentially the most promising candidates. The predicted binding orientation of quercitrin is displayed in Figure 3(a). The hydrophobic flavone scaffold is inserted into the deep hydrophobic gorge of the ATP binding site, where nonpolar van der Waal's interactions were formed with residues His145, Glu144, Val127, Met146, Gly149, Gly75, Gly80, Gly79, Gly77, and Lys192. The aromatic flavone ring was predicted to form π-interactions with residues Met143, Asp208, Lys97, Val82, Leu197, Leu74, and Ala95. The π-interactions with residues Lys97 and Asp208 were also observed with MAP855, indicating the importance of these interactions for MEK-1 inhibition. Quercitrin were predicted to form hydrogen bonds with Glu153, Ala76, Asp152, Ser150, and Ser194. Residues Ser194 and Asp152 were seen to form hydrogen bonds with MAP855, indicating the importance of these interactions (Figure 3(b)). Hydrogen bond interactions with residues Ser150 and Ser194 have been observed for a known preclinical isoflavone-based compound and together with Asp152 for several drug candidates [37], indicating the medicinal potential of quercitrin as a MEK-1 inhibitor.

Figure 3.

Figure 3

Predictive binding orientations using molecular docking simulations of quercitrin (a), MAP855 (b) against MEK-1, and the predicted binding orientations of rutin (c) and MAP855 (d) against MEK-2. All ligands are bounded to the ATP binding site.

Six compounds were predicted to have strong inhibition against MEK-2 with rutin, a flavonoid derivative, predicted to be the strongest inhibitor, 3 aristolactams, procyanidin B1 which is a phenolic compound, and a steroid, β-sitosteryl glucoside. The top three candidates include rutin as the best candidate with a binding energy value of −9.963 kcal/mol, piperolactam A with a binding energy value of −9.712 kcal/mol, and aristolactam BII that scored −9.196 kcal/mol; all candidates have binding energy values lower than the reference control, MAP855, that scored −8.997 kcal/mol. The predicted binding orientation of rutin is shown in Figure 3(c). The hydrophobic flavone scaffold is bound to the deep hydrophobic regions of the ATP binding site where van der Waal's interactions are favorable with residues Val228, Leu78, Gly79, Gly81, His149, Met150, Gly153, Arg237, and Asn82. Hydrogen bonds were observed between the ketone of flavone and Ser154. Evidently, this interaction was also observed with MAP855 (Figure 3(d)), in which Ser154 formed a hydrogen bond interaction with oxygen functionalities such as ether and alcohol. Additionally, hydrogen bonds were formed between the sugar moieties and residues Ser198, Asn199, Ala80, Lys196, and Thr230. Hydrophobic π-interactions that include aromatic systems were formed with residues Leu201, Val86, Ala99, Tyr233, Lys101, Asp212, and Met147. Several of these interaction have been reported with previous studies which have identified flavonoid derivatives as inhibitors of MEK-2 [38], indicating the plausibility of rutin as a potential MEK-2 inhibitor.

ERKs are proteins that contribute to downstream MAPK signaling. So far, there are no drugs approved that selectively target ERKs. Ulixertinib, a drug candidate which was tested for its use in metastatic uveal melanoma treatment was used as the control [39]. Ulixertinib displayed Ki values of 0.3 and 0.04 nmol/L for ERK-1 and ERK-2, respectively, and has shown significant reduction in tumor volume A375 and COLO205 cell line xenografts, with it being classified as an ATP-competitive inhibitor [40]. Eighteen compounds have been identified as potentially potent ERK-1 inhibitors which include 8 flavonoid derivatives, 3 aristolactams, 6 aporphines, and 3-hydroxy-β-sitost-5-en-7-one steroid derivative, which was predicted to be the most potent with binding energy value of −10.495 kcal/mol. Minimal biological activities were reported for this specific compound, but it has been tested as part of extract mixtures that contain cytotoxic activities [41, 42]. The second most potent inhibitor was predicted to be the quercitrin with binding energy value of −9.735 kcal/mol followed by an aporphine, 7-chloro-6-demethylcepharadione B, with binding energy value of −9.616 kcal/mol. A known ERK-1 inhibitor, ulixertinib, was used as the reference control which scored −9.951 kcal/mol; only 3-hydroxy-β-sitost-5-en-7-one displayed a lower binding energy suggesting it to be the most promising candidate. The binding orientation of 3-hydroxy-β-sitost-5-en-7-one to the ATP binding site of ERK-1 is shown in Figure 4(a); the compound is mainly hydrophobic, and thus, it was predicted that mainly hydrophobic interactions contributed to ERK-1 binding as seen for nonpolar van der Waal's interactions with residues Asp184, Gly186, Glu88, Asp128, Lys131, Thr127, Met125, and Leu124. Other hydrophobic interactions were observed with mainly hydrophobic amino acid residues and nonpolar side chains of Tyr53, Ile120, Ile73, Lys71, Val56, Cys183, Leu173, and Ile48. The reference control, ulixertinib, formed hydrogen bonds with Glu88 and Asp184, which are key residues for ERK-1 inhibition (Figure 4(b)); 3-hydroxy-β-sitost-5-en-7-one formed nonpolar van der Waal's interactions with these residues, indicating possible strong inhibition with ERK-1.

Figure 4.

Figure 4

Predictive binding orientations using molecular docking simulations of 3-hydroxy-β-sitost-5-en-7-one (a), ulixertinib (b) against ERK-1, and the predicted binding orientations of hesperidin (c) and ulixertinib (d) against ERK-2. All ligands are bounded to the ATP binding site.

Against ERK-2, 10 compounds were predicted to have strong affinity, which includes 3 flavonoid derivatives, caldensine which is an aristolactam, 4 aporphines, and 2 steroid derivatives. The strongest inhibitor predicted was hesperidin with a binding energy value of −10.336 kcal/mol, followed by the flavonoid derivative genistin and rutin that scored −9.672 and −9.605 kcal/mol, respectively. The predicted binding mode of hesperidin to the ATP binding site of ERK-2 is shown in Figure 4(c). The hydrophobic flavone core scaffold is bounded to the deep hydrophobic pocket of the binding site where it formed nonpolar van der Waal's interactions with Cys166, Leu107, Asp106, Ala52, Met108, Lys114, Thr110, Glu109, and Lys151, whereas the sugar side chains formed the same interactions with Asn154, Asp149, Ile56, Tyr36, Gly169, Leu170, Gly34, and Glu33. Hydrogen bond interactions were formed between the flavone ketone and Ala35 residue, whereas the hydroxyl groups on the sugar side chains formed hydrogen bond interactions with Arg67, Asp167, and Ser153. Hydrogen bond interactions with Asp167 and Ser153 were also observed with ulixertinib, in which these residues have been reported as important for ERK-2 inhibition (Figure 4(d)) [43, 44]. Other hydrophobic interactions include π-interactions between the phenyl group and residues Leu156, Ile31, and Val39.

Based on the simulation results, certain phytochemical constituents are suggested to have potential as strong inhibitors of the enzymatic targets in the MAPK signaling pathway and can serve as new candidates for the treatment of melanoma. Some compounds scored very strongly against multiple targets in the pathway. For example, hesperidin was suggested as strong inhibitors against BRAFV600E, MEK-2, and ERK-2, which is in line with reports of hesperidin being able to attenuate phosphorylation of MEK5 and ERK5 in cholangiocarcinoma cells [45], and suppression of MAPK signaling in prostate cancer resulting in reduction of ERK activities [46]. In this study, quercitrin was suggested as a strong inhibitor of both MEK-1 and ERK-1, which is supported by its ability to induce apoptosis in gastric cancer cells through suppression of EGFR-ERK signaling pathway [47] and has been suggested to inhibit MEK-1 activities, resulting in inhibition of TPA-induced neoplastic transformation of JB6 P+ cells [48]. The aporphine compound, 7-chloro-6-demethylcepharadione B, has not been reported to show effects against MAPK signaling, but in this study, it scored strongly against both BRAFV600E and ERK-1. The aristolactam compound, piperolactam A, has been suggested as adequate inhibitors against MEK-1 and MEK-2. This finding is consistent with reports of extracts containing piperolactam A from Piper plants that demonstrated suppression of MEK/ERK signals resulting in colon cancer cell death [49, 50].

4. Conclusions

In this study, several phytochemical compounds from Houttuynia cordata Thunb. extract were identified as potential inhibitors of kinase targets in the MAPK signaling pathway and may serve as plausible candidates for the treatment of melanoma. Hesperidin scored best against BRAFV600E and showed strong inhibitory action potential against MEK-2 and ERK-2. Quercitrin was predicted to be the best ATP-competitive inhibitor candidate for MEK-1 inhibition, whilst also displayed strong potential against ERK-1. Rutin was predicted to be the best ATP-competitive MEK-2 inhibitor candidate with predicted strong binding to ERK-2. The steroid derivative, 3-hydroxy-β-sitost-5-en-7-one, was identified to potentially be the best candidate against ERK-1, though a lack experimental evidence and scarce literature support undermined the suggestion with the same reason for it toward BRAFV600E, which was implied to be another potential target in the signaling pathway. This work emphasizes the effectiveness of molecular docking as a technique for the identification of plausible compound candidates in plant-based therapies for melanoma treatment.

Acknowledgments

The authors would like to acknowledge School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, and Mahidol University for providing research facilities and academic support.

Funding Statement

This research received no external funding.

Data Availability Statement

Data are contained within the article and Supporting Informations.

Conflicts of Interest

The authors declare no conflicts of interest.

Supporting Information

Supporting Information

Additional supporting information can be found online in the Supporting Information section.

2565084.f1.docx (513.8KB, docx)

Supporting Table S1: List of controls and phytochemicals in Houttuynia cordata Thunb.

Table S2: Calculated binding energy values.

References

  • 1.Li Y., Liu F., Cai Q., et al. Invasion and Metastasis in Cancer: Molecular Insights and Therapeutic Targets. Signal Transduction and Targeted Therapy . 2025;10(1):p. 57. doi: 10.1038/s41392-025-02148-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Balch C. M., Gershenwald J. E., Soong S. J., et al. Final Version of 2009 AJCC Melanoma Staging and Classification. Journal of Clinical Oncology . 2009;27(36):6199–6206. doi: 10.1200/jco.2009.23.4799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Schadendorf D., van Akkooi A. C. J., Berking C., et al. Melanoma. The Lancet . 2018;392(10151):971–984. doi: 10.1016/s0140-6736(18)31559-9. [DOI] [PubMed] [Google Scholar]
  • 4.Miller K. D., Nogueira L., Devasia T., et al. Cancer Treatment and Survivorship Statistics, 2022. CA: A Cancer Journal for Clinicians . 2022;72(5):409–436. doi: 10.3322/caac.21731. [DOI] [PubMed] [Google Scholar]
  • 5.Muñoz-Couselo E., Zamora Adelantado E., Ortiz Vélez C., Soberino-García J., Perez-Garcia J. NRAS-Mutant Melanoma: Current Challenges and Future Prospect. OncoTargets and Therapy . 2017;10:3941–3947. doi: 10.2147/ott.s117121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chapman P. B., Hauschild A., Robert C., et al. Improved Survival With Vemurafenib in Melanoma With BRAF V600E Mutation. New England Journal of Medicine . 2011;364(26):2507–2516. doi: 10.1056/nejmoa1103782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hauschild A., Grob J. J., Demidov L. V., et al. Dabrafenib in BRAF-Mutated Metastatic Melanoma: A Multicentre, Open-Label, Phase 3 Randomised Controlled Trial. The Lancet . 2012;380(9839):358–365. doi: 10.1016/s0140-6736(12)60868-x. [DOI] [PubMed] [Google Scholar]
  • 8.Ascierto P. A., Kirkwood J. M., Grob J. J., et al. The Role of BRAF V600 Mutation in Melanoma. Journal of Translational Medicine . 2012;10(1):p. 85. doi: 10.1186/1479-5876-10-85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Greenman C., Stephens P., Smith R., et al. Patterns of Somatic Mutation in Human Cancer Genomes. Nature . 2007;446(7132):153–158. doi: 10.1038/nature05610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bollag G., Hirth P., Tsai J., et al. Clinical Efficacy of a RAF Inhibitor Needs Broad Target Blockade in BRAF-Mutant Melanoma. Nature . 2010;467(7315):596–599. doi: 10.1038/nature09454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Huang T., Karsy M., Zhuge J., Zhong M., Liu D. B-Raf and the Inhibitors: From Bench to Bedside. Journal of Hematology & Oncology . 2013;6(1):p. 30. doi: 10.1186/1756-8722-6-30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Proietti I., Skroza N., Michelini S., et al. BRAF Inhibitors: Molecular Targeting and Immunomodulatory Actions. Cancers (Basel) . 2020;12(7):p. 1823. doi: 10.3390/cancers12071823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Luke J. J., Hodi F. S. Ipilimumab, Vemurafenib, Dabrafenib, and Trametinib: Synergistic Competitors in the Clinical Management of BRAF Mutant Malignant Melanoma. The Oncologist . 2013;18(6):717–725. doi: 10.1634/theoncologist.2012-0391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Gouda M. A., Subbiah V. Precision Oncology for BRAF-Mutant Cancers With BRAF and MEK Inhibitors: From Melanoma to Tissue-Agnostic Therapy. ESMO Open . 2023;8(2):p. 100788. doi: 10.1016/j.esmoop.2023.100788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kakadia S., Yarlagadda N., Awad R., et al. Mechanisms of Resistance to BRAF and MEK Inhibitors and Clinical Update of US Food and Drug Administration-Approved Targeted Therapy in Advanced Melanoma. OncoTargets and Therapy . 2018;11:7095–7107. doi: 10.2147/ott.s182721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ahronian L. G., Sennott E. M., Van Allen E. M., et al. Clinical Acquired Resistance to RAF Inhibitor Combinations in BRAF-Mutant Colorectal Cancer Through MAPK Pathway Alterations. Cancer Discovery . 2015;5(4):358–367. doi: 10.1158/2159-8290.cd-14-1518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Poddutoori R., Aardalen K., Aithal K., et al. Discovery of MAP855, an Efficacious and Selective MEK1/2 Inhibitor With an ATP-Competitive Mode of Action. Journal of Medicinal Chemistry . 2022;65(5):4350–4366. doi: 10.1021/acs.jmedchem.1c02192. [DOI] [PubMed] [Google Scholar]
  • 18.Homet B., Ribas A. New Drug Targets in Metastatic Melanoma. The Journal of Pathology . 2014;232(2):134–141. doi: 10.1002/path.4259. [DOI] [PubMed] [Google Scholar]
  • 19.Yang L., Jiang J.-G. Bioactive Components and Functional Properties of Hottuynia Cordata and Its Applications. Pharmaceutical Biology . 2009;47(12):1154–1161. doi: 10.3109/13880200903019200. [DOI] [Google Scholar]
  • 20.Yanarojana M., Nararatwanchai T., Thairat S., Tancharoen S. Antiproliferative Activity and Induction of Apoptosis in Human Melanoma Cells by Houttuynia Cordata Thunb Extract. Anticancer Research . 2017;37(12):6619–6628. doi: 10.21873/anticanres.12119. [DOI] [PubMed] [Google Scholar]
  • 21.Su F., Bradley W. D., Wang Q., et al. Resistance to Selective BRAF Inhibition Can Be Mediated by Modest Upstream Pathway Activation. Cancer Research . 2012;72(4):969–978. doi: 10.1158/0008-5472.can-11-1875. [DOI] [PubMed] [Google Scholar]
  • 22.Hemalatha S., Kumar M., Prasad S. A Current Update on the Phytopharmacological Aspects of Houttuynia Cordata Thunb. Pharmacognosy Reviews . 2014;8(15):22–35. doi: 10.4103/0973-7847.125525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kim S., Chen J., Cheng T., et al. Pubchem 2019 Update: Improved Access to Chemical Data. Nucleic Acids Research . 2019;47(D1):D1102–D1109. doi: 10.1093/nar/gky1033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kim S., Chen J., Cheng T., et al. PubChem in 2021: New Data Content and Improved Web Interfaces. Nucleic Acids Research . 2021;49(D1):D1388–D1395. doi: 10.1093/nar/gkaa971. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.O’Boyle N. M., Banck M., James C. A., Morley C., Vandermeersch T., Hutchison G. R. Open Babel: An Open Chemical Toolbox. Journal of Cheminformatics . 2011;3(1):p. 33. doi: 10.1186/1758-2946-3-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Dallakyan S., Olson A. J. Small-Molecule Library Screening by Docking With PyRx. Methods in Molecular Biology . 2015;1263:243–250. doi: 10.1007/978-1-4939-2269-7_19. [DOI] [PubMed] [Google Scholar]
  • 27.Berman H. M., Westbrook J., Feng Z., et al. The Protein Data Bank. Nucleic Acids Research . 2000;28(1):235–242. doi: 10.1093/nar/28.1.235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Meier C., Brookings D. C., Ceska T. A., et al. Engineering Human MEK-1 for Structural Studies: A Case Study of Combinatorial Domain Hunting. Journal of Structural Biology . 2012;177(2):329–334. doi: 10.1016/j.jsb.2012.01.002. [DOI] [PubMed] [Google Scholar]
  • 29.Ohren J. F., Chen H., Pavlovsky A., et al. Structures of Human MAP Kinase Kinase 1 (MEK1) and MEK2 Describe Novel Noncompetitive Kinase Inhibition. Nature Structural & Molecular Biology . 2004;11(12):1192–1197. doi: 10.1038/nsmb859. [DOI] [PubMed] [Google Scholar]
  • 30.Chaikuad A., M C Tacconi E., Zimmer J., et al. A Unique Inhibitor Binding Site in ERK1/2 is Associated With Slow Binding Kinetics. Nature Chemical Biology . 2014;10:853–860. doi: 10.1038/nchembio.1629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Heightman T. D., Berdini V., Braithwaite H., et al. Fragment-Based Discovery of a Potent, Orally Bioavailable Inhibitor that Modulates the Phosphorylation and Catalytic Activity of ERK1/2. Journal of Medicinal Chemistry . 2018;61(11):4978–4992. doi: 10.1021/acs.jmedchem.8b00421. [DOI] [PubMed] [Google Scholar]
  • 32.Trott O., Olson A. J. AutoDock Vina: Improving the Speed and Accuracy of Docking With a New Scoring Function, Efficient Optimization and Multithreading. Journal of Computational Chemistry . 2010;31(2):455–461. doi: 10.1002/jcc.21334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Umar A. B., Uzairu A. New Flavone-Based Arylamides as Potential V600E-BRAF Inhibitors: Molecular Docking, DFT, and Pharmacokinetic Properties. Journal of Taibah University Medical Sciences . 2023;18(5):1000–1010. doi: 10.1016/j.jtumed.2023.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Umar A. B., Uzairu A. Virtual Screening, Pharmacokinetic, and DFT Studies of Anticancer Compounds as Potential Kinase Inhibitors. Journal of Taibah University Medical Sciences . 2023;18(5):933–946. doi: 10.1016/j.jtumed.2023.01.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Maloney R. C., Zhang M., Jang H., Nussinov R. The Mechanism of Activation of Monomeric B-Raf V600E. Computational and Structural Biotechnology Journal . 2021;19:3349–3363. doi: 10.1016/j.csbj.2021.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Tsai J., Lee J. T., Wang W., et al. Discovery of a Selective Inhibitor of Oncogenic B-Raf Kinase With Potent Antimelanoma Activity. Proceedings of the National Academy of Sciences . 2008;105(8):3041–3046. doi: 10.1073/pnas.0711741105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Lawal B., Lo W. C., Mokgautsi N., et al. A Preclinical Report of a Cobimetinib-Inspired Novel Anticancer Small-Molecule Scaffold of Isoflavones, NSC777213, for Targeting PI3K/AKT/mTOR/MEK in Multiple Cancers. American Journal of Cancer Research . 2021;11(6):2590–2617. [PMC free article] [PubMed] [Google Scholar]
  • 38.AlZahrani W. M., AlGhamdi S. A., Sohrab S. S., Rehan M. Investigating a Library of Flavonoids as Potential Inhibitors of a Cancer Therapeutic Target MEK2 Using in Silico Methods. International Journal of Molecular Sciences . 2023;24(5):p. 4446. doi: 10.3390/ijms24054446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Buchbinder E. I., Cohen J. V., Tarantino G., et al. A Phase II Study of ERK Inhibition by Ulixertinib (BVD-523) in Metastatic Uveal Melanoma. Cancer Research Communications . 2024;4(5):1321–1327. doi: 10.1158/2767-9764.crc-24-0036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Germann U., Furey B., Markland W., et al. Targeting the MAPK Signaling Pathway in Cancer: Promising Preclinical Activity With the Novel Selective ERK1/2 Inhibitor BVD-523 (Ulixertinib) Molecular Cancer Therapeutics . 2017;16(11):2351–2363. doi: 10.1158/1535-7163.mct-17-0456. [DOI] [PubMed] [Google Scholar]
  • 41.Chang F. R., Yen C. T., El-Shazly M., et al. Spirostanoids With 1,4-Dien-3-One or 3β,7α-Diol-5,6-Ene Moieties From Solanum Violaceum. Bioorganic & Medicinal Chemistry Letters . 2013;23(9):2738–2742. doi: 10.1016/j.bmcl.2013.02.060. [DOI] [PubMed] [Google Scholar]
  • 42.Jacinto S. D., Chun E. A., Montuno A. S., Shen C. C., Espineli D. L., Ragasa C. Y. Cytotoxic Cardenolide and Sterols From Calotropis Gigantea. Natural Product Communications . 2011;6:1934578X1100600614–6. doi: 10.1177/1934578x1100600614. [DOI] [PubMed] [Google Scholar]
  • 43.Battula V. R., Kaladi S. S., Yandrati L. P., et al. Anticancer Evaluation and Molecular Docking Studies of Novel Benzophenone Based 1,2,3-Triazole Hybrids. Journal of Chemistry Letters . 2024;5:236–248. [Google Scholar]
  • 44.Gao W.-Y., Boonyarat C., Takomthong P., et al. Acridone Derivatives From Atalantia Monophyla Inhibited Cancer Cell Proliferation Through ERK Pathway. Molecules . 2022;27(12):p. 3865. doi: 10.3390/molecules27123865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Deng J., Liu L., Li L., Sun J., Yan F. Hesperidin Delays Cell Cycle Progression Into the G0/G1 Phase Via Suspension of MAPK Signaling Pathway in Intrahepatic Cholangiocarcinoma. Journal of Biochemical and Molecular Toxicology . 2022;36(4):p. e22981. doi: 10.1002/jbt.22981. [DOI] [PubMed] [Google Scholar]
  • 46.Jeong S. A., Yang C., Song J., Song G., Jeong W., Lim W. Hesperidin Suppresses the Proliferation of Prostate Cancer Cells by Inducing Oxidative Stress and Disrupting Ca2+ Homeostasis. Antioxidants . 2022;11(9):p. 1633. doi: 10.3390/antiox11091633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Liu Y., Li Y., Jiang Y., et al. Quercetin Promotes Apoptosis of Gastric Cancer Cells Through the EGFR-ERK Signaling Pathway. Journal of Food Biochemistry . 2024;2024:1–23. doi: 10.1155/2024/9945178. [DOI] [Google Scholar]
  • 48.Lee K. W., Kang N. J., Heo Y. S., et al. Raf and MEK Protein Kinases are Direct Molecular Targets for the Chemopreventive Effect of Quercetin, A Major Flavonol in Red Wine. Cancer Research . 2008;68(3):946–955. doi: 10.1158/0008-5472.can-07-3140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Wang Y.-H., Morris-Natschke S. L., Yang J., Niu H.-M., Long C.-L., Lee K.-H. Anticancer Principles From Medicinal Piper (胡椒 Hú Jiāo) Plants. Journal of Traditional and Complementary Medicine . 2014;4(1):8–16. doi: 10.4103/2225-4110.124811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Randhawa H., Kibble K., Zeng H., Moyer M. P., Reindl K. M. Activation of ERK Signaling and Induction of Colon Cancer Cell Death by Piperlongumine. Toxicology In Vitro . 2013;27(6):1626–1633. doi: 10.1016/j.tiv.2013.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supporting Information

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Data Availability Statement

Data are contained within the article and Supporting Informations.


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