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Trends Sci. 2026; 23(8): 12566

Chemical Composition and Anti-Skin Cancer Potential of Eucalyptus tereticornis Essential Oils from Vietnam: An In Vitro and In Silico Study


Tran Hoang Ngau1, Chau Dao Minh Huynh2, Hoai Nguyen Thi Thanh1, Ngan Phan Thu1, Tran Ngo Bao Huynh2, Thang Truong Le3,4 and Viet Hoang2,*


1Ho Chi Minh City University of Industry and Trade, Ho Chi Minh City 70000, Vietnam

2Faculty of Biology-Biotechnology, University of Science, VNUHCM, Ho Chi Minh City 70000, Vietnam

3Smart Medicine and Health Informatics Program, International College, National Taiwan University,

Taipei 10617, Taiwan

4School of Medicine, College of Medicine, National Taiwan University, Taipei 10617, Taiwan


(*Corresponding author’s e-mail: [email protected])


Received: 7 November 2025, Revised: 17 December 2025, Accepted: 24 December 2025, Published: 10 March 2026


Abstract

This study aimed to explore the therapeutic potential of Eucalyptus tereticornis essential oil in skin cancer treatment, with E. camaldulensis serving as a well-documented reference, both species collected in Vietnam. A multidisciplinary approach was employed to investigate chemical composition, cytotoxicity, anti-metastatic effects, and molecular mechanisms. The chemical constituents of the oils were characterized using gas chromatography-mass spectrometry (GC-MS). Cytotoxic effects were evaluated on murine melanoma B16F10 cells using the MTT assay. Anti-metastatic potential was investigated through cell migration (wound healing assay) and adhesion assays. To elucidate possible molecular mechanisms, molecular docking simulations were performed against key melanoma-related protein targets, including BRAF, NRAS, AKT3, FAK, and HDAC, and gene expression survival analysis stratified melanoma patient outcomes. GO and KEGG enrichment analyses were used to interpret functional roles. In cytotoxicity assays, E. tereticornis displayed a higher IC50 (152.9 µg/mL) compared to E. camaldulensis (182 µg/mL), suggesting higher anticancer efficacy. Moreover, E. tereticornis significantly inhibited B16F10 cell migration and adhesion, indicating potential anti-metastatic activity. GC-MS identified 46 compounds across both species. The dominant constituents in E. tereticornis were β-pinene, caryophyllene oxide, and -pinene, while β-eudesmol, γ-terpinene, and o-cymene were major in E. camaldulensis. Docking results showed the strongest binding affinity to BRAF with the bicyclo[4.1.0]heptane, 7-bicyclo[4.1.0]hept-7-ylidene derivative (−8.5 kcal/mol). Survival analysis revealed significant prognostic associations for alloaromadendrene and caryophyllene-(I1) in melanoma patients (p < 0.05). Eucalyptus essential oils, particularly from E. tereticornis, exhibit promising antioxidant and anticancer activities, suggesting potential in melanoma therapy.


Keywords: Eucalyptus tereticornis, Eucalyptus camaldulensis, Anti-skin cancer, Molecular docking


Introduction

Skin cancer represents a major global health challenge and is one of the leading causes of dermatologic disease burden. Both melanoma and non-melanoma skin cancers contribute substantially to cancer incidence and mortality worldwide, particularly in regions with predominantly fair-skinned populations such as Australia, New Zealand, Europe, and North


America [1]. In 2022 alone, an estimated 331,722 new cases of melanoma were reported globally, making it the 17th most common cancer and leading to approximately 58,667 deaths [2]. In the United States, projections for 2025 indicate 104,960 new invasive melanoma cases and 107,240 melanoma in situ cases, with about 8,430 deaths expected [3]. These statistics emphasize the urgent need for new and effective preventive and therapeutic strategies against skin cancer.

In the search for novel anticancer agents, natural products have gained increasing attention due to their diverse bioactive compounds. Among these, the Eucalyptus genus stands out for its pharmacological potential [4]. With over 700 species, Eucalyptus is one of the most commonly cultivated genera in forest plantations worldwide. Eucalyptus globulus is the most widely planted species, followed by E. camaldulensis, E. tereticornis, E. nitens, and E. saligna [5]. Eucalyptus leaves and essential oils are known for their medicinal properties, including analgesic, anti-inflammatory, antioxidant, antimicrobial, and anticancer activities [4,6].

Of these species, E. camaldulensis has been extensively investigated and shown to possess cytotoxic effects against various cancer cell lines, including melanoma (B16F10), breast (MCF-7), lung (A549), colon (Caco-2), and liver (HepG2) cancers [7,8]. In addition, its extracts have demonstrated inhibitory effects on melanogenesis through modulation of MAPK and PKA signaling pathways [7]. By contrast, E. tereticornis, although widely cultivated and chemically rich, has received comparatively less attention, despite evidence of bioactivity against lung cancer cells [9]. This underexplored potential makes E. tereticornis a compelling candidate for further study, particularly in the context of skin cancer.

The therapeutic promise of Eucalyptus species largely derives from compounds such as 1,8-cineole, macrocarpals, eucalyptin, monoterpenes (p-cymene, α-pinene, and d-limonene), and various flavonoids and chalcones, which have been reported to inhibit cancer cell proliferation, induce apoptosis, and modulate oxidative stress pathways [4,8,10-12]. Collectively, these phytochemicals likely contribute to the anticancer activities of Eucalyptus essential oils through multiple complementary pathways, reinforcing the therapeutic promise of species such as E. tereticornis in cancer treatment-particularly in the context of skin cancer.

In Vietnam, Eucalyptus camaldulensis and Eucalyptus tereticornis are widely cultivated, especially in the central and southern regions, to supply wood for various industries and support reforestation initiatives [13]. However, their compound profile and potential applications in skin cancer are sufficiently studied and understood [14,15]. To address this gap, the present study conducts a comparative evaluation between the two species, using E. camaldulensis as a well-documented reference and highlighting the unexplored potential of E. tereticornis. An integrative approach was employed, combining chemical analysis, biological evaluation, and computational modeling. Essential oil constituents were identified using gas chromatography-mass spectrometry (GC-MS), followed by in vitro assays on B16F10 melanoma cells to assess cytotoxicity, cell migration, and adhesion inhibition. To predict molecular interactions, molecular docking was performed between major bioactive compounds and cancer-related protein targets [16]. Additionally, survival analysis of gene expression was conducted to stratify melanoma patients into high- and low-risk groups [17]. To elucidate the functional roles of the predicted targets, GO and KEGG pathway enrichment analyses were carried out, providing insights into the biological processes and signaling pathways potentially modulated by Eucalyptus-derived compounds in melanoma [18,19].

Overall, this study aims to bridge the knowledge gap by integrating chemical profiling, biological activity evaluation, and computational modeling of E. tereticornis essential oils. The findings are expected to illuminate their therapeutic potential and guide future research and development in the field of natural product-based drug discovery.


Materials and methods

Plant material and extractions

Plant samples collected in the Mekong Delta, Vietnam, were taxonomically verified by the Department of Ecology and Evolutionary Biology based on morphological characteristics. Voucher specimens of Eucalyptus camaldulensis (PHH1004930) and Eucalyptus tereticornis (PHH1004931) have been deposited at the PHH Herbarium, University of Sciences, VNU-HCM. Fresh leaves (10 kg) were distilled for three hours at 100 C using a Clevenger apparatus. The resulting essential oil was dried with anhydrous sodium sulfate and stored at ‒20 C. The extraction process was repeated three times, and the essential oil yield was averaged based on fresh plant weight. For additional testing, the extracted oil was then combined with DMSO (dimethyl sulfoxide).


Cytotoxicity activity

B16F10 (murine melanoma) was provided by ATCC (American Type Culture Collection, Manassas, VA, USA). Cell viability of B16F10 cell lines exposed to the sample extract was evaluated using the MTT assay (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium) [20]. Cells (3×103 per well) were seeded in a 96-well plate and incubated overnight for adhesion [21]. The medium was then refreshed with 95 µL of fresh media, and cells were treated with extract concentrations ranging from 7.813 to 2,000 µg/mL, prepared by serial dilution. After 48 h of exposure, 5 mg/mL MTT solution was added to each well, followed by a 4-hour incubation. Formazan crystals were solubilized using 100 µL of 99.9% DMSO, and absorbance was measured at 540 nm. A positive control was doxorubicin with concentrations ranging from 0.03125 to 1 µg/mL.


Timepoint effect of IC50 of essential oils

Cell viability of B16F10 cell lines exposed to the sample extract was evaluated using the MTT assay (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium) [20,22]. Cells (3×103 per well) were seeded in a 96-well plate and incubated overnight for adhesion. The medium was then refreshed with 95 µL of fresh media, and cells were treated with extract concentrations of IC50 (µg/mL) of each previous oil, prepared by serial dilution. The survival of cancer was as follows: 0, 24, 48, 72 and 96 h. A 5 mg/mL MTT solution was added to each well, followed by a 4-hour incubation. Formazan crystals were solubilized using 100 µL of 99.9% DMSO, and absorbance was measured at 540 nm [23].


Scratch wound healing migration assay

Cell migration was assessed using a scratch wound healing assay, as described in [24]. B16F10 cells (2×105 cells/mL) were cultured in DMEM/F12 medium supplemented with 10% FBS and 1% penicillin streptomycin for 24 h in 60 mm culture plates at 37 C with 5% CO2 until reaching 80% - 90% confluence. A linear wound was created using 0.2 mL sterile pipette tips, and plates were washed twice with PBS (phosphate-buffered saline). Fresh medium containing the extract (50 and 100 µg/mL) was then added, while DMEM with 1% DMSO served as the negative control. After 4 h of incubation, images were captured using a phase-contrast microscope.

Wound confluence (%) = (S0 h - S4 h)/S0 h×100% where S0 h and S4 h were the width of the initial scratch wound at 0 h and the width of the scratch wound at 4 h, respectively.


Cell adhesion assay

A cell adhesion assay was used to measure cell adherence. B16-F10 melanoma cells were seeded into 96-well plates at a density of 104 cells/well in culture medium (DMEM-F12 supplemented with 10% FBS and 0.5% antibiotics) containing essential oils at concentrations of 0, 100 and 200 µg/mL. The cells were incubated at 37 °C with 5 % CO2 for an hour. Following incubation, non-adherent cells were removed by discarding the medium, and the wells were washed three times with PBS. After that, 100 µL of DMEM-F12 medium containing 0.5 mg/mL MTT was added to each well to assess the number of adherent cells that were not washed away. After 3 h of incubation, the medium was taken out, and each well received 100 µL of DMSO to dissolve the formazan crystals. The plates were gently shaken, and absorbance was measured at 540 nm using an ELISA reader (ELISA Model HumaReader HS) [25].


Gas chromatography-mass spectrometry (GC-MS) analysis

The samples of both species were analyzed using a GC-MS system (GCMS QP2010 SE Shimadzu) according to the procedure outlined in the Assaggaf H et al. [26] study [27]. The device had a DB-5MS UI column, which was 30 m in length, 0.25 m in internal diameter, and 0.25 m in film thickness. Helium was used as the carrier gas at a constant flow rate of 1.0 mL/min. The injector temperature was maintained at 250 °C, while the oven temperature was programmed as follows: Initial hold at 50°C for 2 min, followed by a ramp of 5 °C/min to 100 °C, then 10 °C/min to 150 °C, and finally 25 °C/min to 250 °C. The total chromatographic run time was 22 min. Compound identification was achieved by comparing mass spectra with the NIST 2020 library and confirming retention indices (RI) calculated against a homologous series of n-alkanes (C8 - C20). The relative percentage of each component was determined by peak area normalization. Only % area values were reported in the results.


Molecular docking

The three-dimensional structures of BRAF kinase (PDB ID: 6XFP-B-Raf Proto-Oncogene, Serine/Threonine Kinase), NRAS (PDB ID: 8VM2-NRAS Q61K bound to GTP), AKT3 (PDB ID: 2X18-PH domain of human AKT3 protein kinase), FAK (PDB ID: 1MP8-Focal Adhesion Kinase) [28], and HDAC (PDB ID: 6WHO-Histone deacetylases complex with peptide macrocycles) were retrieved from the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB). In the meantime, the molecular structures of 46 compounds were obtained from PubChem.

Virtual screening of these compounds against the target protein was performed using CB-Dock2 [29], a validated structure-based docking platform that incorporates cavity detection and AutoDock Vina docking. Prior to docking, CB-Dock2 automatically processed protein structures by removing non-amino acid residues and water molecules, adding polar hydrogens and missing atoms, and assigning atomic charges. Docking scores (binding free energy, kcal/mol) were used to rank the compounds according to their predicted binding affinity. The lowest binding energy pose (best binding affinity) for each protein-ligand complex was selected for further analysis. Molecular interactions were then visualized using Studio Discovery 2025 (2D interaction mapping).


Absorption, distribution, metabolism, excretion, and toxicity (ADMET) prediction

After molecular docking analysis, the top-ranked compounds were evaluated for their ADMET profiles. The chemical structures, including molecular formulas and canonical SMILES, were retrieved from PubChem (https://pubchem.ncbi.nlm.nih.gov/, accessed May 2025). The physicochemical and pharmacokinetic properties of the compounds were analyzed using SwissADME (http://www.swissadme.ch/, accessed May 2025) [30]. Drug-likeness was assessed according to Lipinski’s Rule of Five criteria, which considers compounds with a molecular weight <500 g/mol, a log p value <5, <10 hydrogen bond acceptors, and <5 hydrogen bond donors as likely to be orally bioavailable [31]. Additionally, pharmacokinetic characteristics of compounds were collected by pkCSM (https://biosig.lab.uq.edu.au/pkcsm/prediction, accessed May 2025), which predicts key ADMET parameters including absorption, distribution, metabolism, excretion, and toxicity [26].


Identification of prediction targets for potential compounds

The potential target genes of the screened active compounds were identified using SwissTargetPrediction (http://www.swisstargetprediction.ch/, accessed May 2025), with the organism restricted to Homo sapiens. The predictive model of SwissTargetPrediction has been validated on an external test set of experimentally confirmed active compounds, demonstrating reliable performance. This platform infers potential targets based on molecular similarity to known bioactive compounds, integrating both 2D and 3D molecular descriptors. For subsequent analysis, only target genes with a predicted probability (P) greater than 0 were retained to ensure biological relevance [32].


Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG)

Based on the predicted compound-gene associations and docking targets, Gene Ontology (GO) enrichment analysis was performed to investigate the functional roles of the identified genes within the regulatory network, and KEGG pathway enrichment analysis was conducted to determine the biological pathways associated with these target genes [33]. Both GO and KEGG analyses were performed using ShinyGO (https://bioinformatics.sdstate.edu/go/). p - values were calculated using the hypergeometric test, and false discovery rates (FDRs) were adjusted with the Benjamini-Hochberg method to correct for multiple testing. Fold enrichment was defined as the ratio between the proportion of genes in the query list mapped to a given pathway and the proportion of background genes in the same pathway. While FDR indicates the statistical significance of enrichment, fold enrichment reflects the effect size. An FDR threshold of p ≤ 0.05 was applied to identify significantly enriched terms. The top 10 enriched GO terms and KEGG pathways were selected for visualization as bubble plots [34].


Kaplan-meier survival analysis for signature genes

Kaplan-meier survival analysis of the signature genes was conducted using the GEPIA web tool (http://gepia.cancer-pku.cn/), which integrates data from TCGA and GTEx datasets [17]. Survival analysis for each gene in skin cutaneous melanoma (SKCM) was conducted using the log-rank (Mantel-Cox) test. Genes with p ≤ 0.05 in univariate Cox regression were considered statistically significant. Patients were stratified into high-risk and low-risk groups based on the median risk score. Kaplan-Meier survival curves were generated to compare overall survival between the two groups. The analysis included calculation of the hazard ratio (HR), along with the corresponding 95% confidence intervals (CIs) and log-rank p values, to quantify the prognostic relevance of the signature genes [35].


Statistical analysis

All experiments were carried out a minimum of three times. The data were expressed as mean values with their corresponding standard deviations (SD). Statistical analysis and data processing were completed using Microsoft Excel 2016 and GraphPad Prism 9. All results were analyzed by unpaired Student’s t-tests. The statistically significant differences were determined at p ≤ 0.05 (*), p ≤ 0.01 (**), p ≤ 0.001 (***), and p ≤ 0.0001 (****).


Results and discussion

Cytotoxicity activity

The cytotoxic activities of essential oils from various Eucalyptus species were evaluated against B16F10 murine melanoma cells using the MTT assay (Figure 1). The IC50 values were reported as follows: The standard anticancer drug doxorubicin exhibited an IC50 of 0.2179 µg/mL; Eucalyptus camaldulensis essential oil showed an IC50 of 182 µg/mL; and Eucalyptus tereticornis essential oil had an IC50 of 152.9 µg/mL. Although both essential oils were considerably less potent than doxorubicin, their cytotoxic effects are indicative of anticancer potential, consistent with the criteria proposed by Kuete et al. [36]. Notably, the IC50 values of the present extracts were lower than that reported for Etlingera elatior essential oil (IC50 = 214.85 ± 4.65 µg/mL), which contains major compounds such as caryophyllene (12.58%), humulene (15.21%), and caryophyllene oxide (2.82%). That study also reported inhibition of melanin content at 253.56 ± 3.65 µg/mL in B16F10 cells, corresponding to approximately threefold lower efficacy than standard anti-melanogenic compounds [37]. Furthermore, the cytotoxic activity observed in this study was greater than that reported for Tetradenia riparia (Hochst.) Codd essential oil, which exhibited an IC50 of 272.37 ± 18.45 µg/mL against B16F10 cells [38]. These results confirm that both essential oils exert cytotoxic activity against melanoma cells, especially E. tereticornis.

Importantly, despite the relatively high IC50 values, the major constituent of Eucalyptus essential oils, 1,8-cineole, has been widely recognized for its anti-inflammatory and antioxidant properties [8,10]. These biological activities are critical in the suppression of tumor progression, as they help modulate the tumor microenvironment and reduce chronic oxidative damage-a known contributor to cancer development [39]. Our data aligned with evidence from previous studies, reinforcing the anticancer potential of Eucalyptus-derived essential oils. For instance, Eucalyptus globulus essential oil exhibited potent cytotoxicity against B16F10 cells, with an IC50 of 5.23 µg/mL [40], highlighting its strong bioactivity in this cell line. Additionally, E. camaldulensis essential oil has shown cytotoxic effects on other cancer cell types, such as colorectal cancer Caco-2 cells, with an IC50 around 100 µg/mL [41]. This effect has been linked to apoptosis induction, potentially through modulation of apoptotic genes such as BAX and BCL-2 [41]. Moreover, E. camaldulensis flower essential oil has been reported to inhibit melanogenesis, potentially via its antioxidant activity and by downregulating mitogen-activated protein kinase (MAPK) and protein kinase A (PKA) signaling pathways [7]. Taken together, these findings suggest that E. camaldulensis and E. tereticornis may exert anticancer effects through multiple mechanisms, including direct cytotoxicity, apoptosis induction, antioxidant activity, and suppression of tumor-related signaling pathways such as MAPK. These multi-targeted actions highlight their potential as promising candidates for further development in cancer therapeutics, particularly in the context of skin cancer.


Figure 1 Cytotoxic activities of essential oils: (A) positive control (doxorubicin), (B) E. camaldulensis, and (C) E. tereticornis.


Timepoint effect of IC50 of essential oils

We further evaluated the time-dependent anticancer potential of Eucalyptus species by assessing their cytotoxic effects on B16F10 melanoma cells at 0, 24, 48, 72 and 96 h. As shown in Figures 2(A) - 3(A), the untreated control cells exhibited a gradual increase in cell proliferation over time, from 0 to 96 h in the E. camaldulensis group and from 0 to 72 h in the E. tereticornis group. In contrast, treatment with either essential oil significantly reduced cell proliferation, particularly after 48 h, when cells were seeded at the same initial density (3×103 cells/well) at 0 h. This inhibitory effect was more clearly illustrated in Figures 2(B) - 3(B), which show the percentage inhibition of cell growth over time. For Eucalyptus camaldulensis, the highest inhibition rate was observed at 48 and 72 h (~52%), followed by a slight decrease at 96 h (42.44%) (Figure 2(B)). In the case of Eucalyptus tereticornis, it showed its highest inhibition rate at 48 h (66.84%), which declined at 72 h (36.77%) and further decreased at 96 h (31.02%) (Figure 3(B)). Although E. tereticornis exhibited a delayed onset of cytotoxicity compared to E. camaldulensis, it demonstrated a stronger inhibitory effect at 72 h (36.77%) than E. camaldulensis at the same time point (~52%). This greater cytotoxic potential is consistent with the lower IC50 value of E. tereticornis (152.9 μg/mL), suggesting that it possesses higher intrinsic cytotoxic activity.


Figure 2 Timepoint effect on the B16F10 cell line of E. camaldulensis. (A) OD 540 nm of B16F10 cell line, (B) Percentage inhibition of B16F10 cell line. The result was analyzed by unpaired Student’s t-tests. The statistically significant differences were determined at p ≤ 0.05 (*), p ≤ 0.01 (**), and ns means not significant (compared to the normal control group).

Figure 3 Timepoint effect on the B16F10 cell line of E. tereticornis. (A) OD 540 nm of B16F10 cell line, (B) Percentage inhibition of B16F10 cell line. The result was analyzed by unpaired Student’s t-tests. The statistically significant differences were determined at p ≤ 0.05 (*), p ≤ 0.01 (**), p ≤ 0.001 (***), and p ≤ 0.0001 (****), and ns means not significant (compared to the normal control group).


Scratch wound healing migration assay

The migration of B16F10 melanoma cells was evaluated using a wound healing assay. Cells were treated with the test compound at a concentration that inhibited cancer cell viability by less than 1%. Representative images on the left illustrate wound closure over time, while the bar graph on the right quantitatively presents the percentage of cell migration. In the negative control, cells exhibited a high migration rate in both essential oils. For Eucalyptus camaldulensis, at 50 µg/mL, the migration rate was markedly reduced to about 11.375% compared to 36.871% in the negative control (p < 0.05), indicating statistically significant inhibition (Figure 4(A)). However, at 100 µg/mL, the migration rate slightly increased to 22.459%, though it remained lower than the control. In contrast, E. tereticornis exhibited stronger inhibition of migration. At 50 µg/mL, the migration rate was similar to E. camaldulensis at 12.605%, but at 100 µg/mL, it further decreased to 6.449%, showing a more potent inhibitory effect (Figure 4(B)). Thus, these results support the potential of Eucalyptus camaldulensis and Eucalyptus tereticornis essential oils as inhibitors of melanoma cell migration, with E. tereticornis showing stronger efficacy at higher doses.


Figure 4 Migration inhibitory activity of essential oils on the B16F10 cell line: (A) E. camaldulensis and (B) E. tereticornis. The result was analyzed by unpaired Student’s t-tests. The statistically significant differences were determined at p ≤ 0.05 (*), ns means not significant (compared to the normal control group).



Cell adhesion assay

An adhesion assay was employed to evaluate B16F10 melanoma cell adhesion following treatment with the test compounds at concentrations that did not significantly affect cell viability (<1% inhibition). When the concentrations of Eucalyptus camaldulensis and Eucalyptus tereticornis essential oils increased from 0 µg/mL to 100 µg/mL, a significant reduction in B16F10 cell adhesion was observed (p < 0.05) (Figure 5). This suggests that both essential oils can interfere with the adhesion of B16F10 melanoma cells, thereby reducing their ability to attach to the surface. The concentration-dependent decrease in cell adhesion indicates that both essential oils may disrupt cell-substrate interactions-an essential step in preventing cancer metastasis.

E. camaldulensis and E. tereticornis demonstrate greater efficacy in reducing cancer cell adhesion and migration, which are critical steps in metastasis. According to the study by Huang et al. [7], Eucalyptus essential oils, including those from E. camaldulensis, exhibit antioxidant, anti-melanogenic, and cytotoxic effects on B16F10 melanoma cells, indicating their ability to modulate cellular behavior and signaling pathways involved in adhesion and metastasis [7]. In addition to confirming the known anticancer effects of E. camaldulensis, our study further demonstrates that E. tereticornis-a member of the Eucalyptus genus-also shows strong potential in combating skin cancer. This is evidenced by its low IC50 value, strong inhibition of cell migration, and significant reduction in cell adhesion.


Figure 5 Cell adhesion of B16F10, (A) E. camaldulensis, and (B) E. tereticornis. The result was analyzed by unpaired Student’s t-tests. The statistically significant differences were determined at p ≤ 0.05 (*), p ≤ 0.001 (***).


Gas chromatography-mass spectrometry (GC-MS) analysis

The GC-MS analysis of essential oils from two Eucalyptus species identified a total of 46 volatile compounds (0.24% to 16.34%) (Table 1, Figure 1 - 2(S)). These major compounds are highlighted in bold in Table 1. For E. camaldulensis, the main constituents were -eudesmol (16.34%), -terpinene (12.59%), o-cymene (11.49%), eucalyptol (9.90%), and -phellandrene (8.66%). For the E. tereticornis sample, the primary components included -pinene (15.88%), caryophyllene oxide (14.39%), -pinene (13.73%), eucalyptol (10.13%), and spathulenol (7.32%). Among these, ten compounds were also found in the essential oils from both E. camaldulensis and E. tereticornis, such as -pinene, -pinene, eucalyptol, and d-limonene-compounds frequently found in Eucalyptus essential oils and known for their therapeutic properties [7,42]. Previous studies have suggested that these constituents may contribute to anticancer activities, including melanoma inhibition, metastasis prevention, sensitization to antitumor agents, chemoprevention, and regulation of melanogenesis [43].

Notably, the two species exhibited distinct sesquiterpene profiles. E. camaldulensis contained substantial amounts of β-eudesmol (16.34%), γ-terpinene (12.59%), o-cymene (11.49%), α-phellandrene (8.66%), and γ-eudesmol (7.97%), whereas E. tereticornis was characterized by higher levels of caryophyllene oxide (14.39%), p-cymene (4.20%), and spathulenol (7.32%). In a previous study by Yang et al. [44], β-caryophyllene-an isomer of caryophyllene abundantly present in E. tereticornis-was demonstrated to reduce melanin production in B16F10 melanoma cells and suppress melanogenesis by downregulating the expression of MITF, TRP-1, TRP-2, and tyrosinase [44]. Furthermore, essential oils from Alpinia nantonensis, which contain major constituents such as α-pinene (4.23% - 8.28%) and d-limonene (2.43% - 2.50%), showed similarities to E. tereticornis in terms of α-pinene (13.73%) and d-limonene (6.54%) content. These compounds exhibited strong inhibitory effects on melanin synthesis and cellular tyrosinase activity in forskolin-stimulated cells by downregulating TYR and TRP-1 expression, suppressing MITF, and modulating the PI3K/AKT signaling pathway [45]. Overall, the observed differences in chemical composition between the two Eucalyptus species may be influenced by geographic and environmental factors, which in turn affect their anticancer and antimelanogenic potential [46]. Consequently, although both species contain promising bioactive compounds, their therapeutic efficacy and potential applications may vary due to intrinsic chemical diversity and environmental influences.


Table 1 Comparison of the chemical components of the essential oil from E. camaldulensis and E. tereticornis.

No

Major components

CID

E. camaldulensis

E. tereticornis

Retention time

Area (%)

Retention time

Area (%)

1

-Thujene

17868

4.517

0.28

9.422

2.98

2

1,3,3-Trimethylbicyclo[2.2.1]hept-2-yl acetate

107217

-

-

9.787

0.49

3

2,3-Pinanediol

62044

11.701

0.90

-

-

4

2-Carene

79044

6.031

1.02

-

-

5

4-Carene

530422

7.277

1.72

-

-

6

5-Isopropyl-6-methyl-hepta-3,5-dien 2-ol

5363138

10.294

0.33

-

-

7

6,6-Dimethyl-2 methylenebicyclo[3.1.1]heptan-3-one

9585226

-

-

8.800

0.87

8

Agarospirol

21675005

17.169

1.85

-

-

9

Alloaromadendrene

10899740

13.886

0.94

13.890

4.16

10

-Caryophyllene

5281520

14.181

0.59

-

-

11

-Copaene

19725

12.746

0.51

-

-

12

-Guaiene

5317844

-

-

14.263

1.50

13

-Phellandrene

7460

5.863

8.66

-

-

14

-Pinene

6654

4.671

4.93

4.667

13.73

15

-Selinene

10856614

14.850

0.35

-

-

16

-Terpineol

17100

9.376

2.11

9.375

1.20

17

-Terpineol acetate

111037

-

-

12.127

0.94

18

Aristolene

530421

17.095

1.06

-

-

19

-Caryophyllene

5281515

13.568

1.91

13.570

2.20

20

-Eudesmol

91457

17.475

16.34

-

-

21

-Linalool

6549

7.468

0.26

-

-

22

-Myrcene

31253

5.468

1.06

5.470

0.24

23

-Pinene

440967

5.408

4.93

5.408

15.88

24

-Selinene

442393

14.750

0.59

-

-

25

Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene

562714

-

-

14.194

1.39

26

Borneol

6552009

-

-

8.988

0.89

27

Bornyl acetate

6448

-

-

11.037

0.30

28

Camphene

6616

-

-

4.950

1.97

29

Caryophyllene oxide

1742210

-

-

16.314

14.39

30

Caryophyllene-(l1)

5369754

-

-

16.495

1.85

31

D-Fenchyl alcohol

15406

-

-

7.960

1.31

32

D-Limonene

440917

6.267

3.95

6.251

6.54

33

Epiglobulol

11858788

-

-

15.955

0.86

34

Eucalyptol

2758

6.356

9.90

6.336

10.13

35

-Eudesmol

6432005

17.043

7.97

-

-

36

-Terpinene

7461

6.791

12.59

-

-

37

Ledol

92812

-

-

16.659

1.30

38

L-trans-Pinocarveol

1201530

-

-

8.402

1.95

39

o-Cymene

10703

6.192

11.49

-

-

40

Palustrol (Ledum)

110745

-

-

16.100

0.44

41

p-Cymene

7463

-

-

6.162

4.20

42

Phytol

5280435

23.372

0.40

-

-

43

Sabinyl acetate

94266

9.546

0.54

-

-

44

Spathulenol

92231

-

-

16.190

7.32

45

Spiro(4,5)decane

135982

-

-

16.740

0.60

46

Terpinen-4-ol

11230

9.123

2.83

9.119

0.36


Molecular docking

Due to the intriguing yet not fully understood selective cytotoxicity of essential oils on cancer, we conducted an in silico study using molecular docking approaches to evaluate all chemical constituents from two essential oils against a panel of cancer-related target proteins. The selected targets are involved in key oncogenic signaling pathways, including the MAPK/ERK pathway, RAS-RAF-MEK-ERK signaling, the PI3K/AKT/mTOR pathway, FAK/integrin signaling, and epigenetic regulation via HDACs [28].

The docking results, summarized in Table 2, reveal several compounds with promising binding affinities. The top seven compounds with the most favorable docking scores were further visualized using Discovery Studio 2025 (Figure 6). Interestingly, these seven compounds all showed significant binding to BRAF, a critical kinase in the MAPK/ERK signaling cascade, which plays a pivotal role in melanoma progression [47]. All seven compounds exhibited binding energies ≤ −8.1 kcal/mol, indicating stable and potentially effective interactions [48].

Among the top hits, bicyclo[4.1.0]heptane, 7-bicyclo[4.1.0]hept-7-ylidene (1.39% in Eucalyptus tereticornis essential oil), displayed the strongest binding affinity toward BRAF, with a docking score of −8.5 kcal/mol. Molecular interactions included Pi-Alkyl interactions with TRP_A:531 and PHE_A:595; Pi-Sigma: PHE_A:583; Alkyl interactions with CYS_A:532; ALA_A:481; LYS_A:483 and VAL_A:471; and Van der Waals interactions with LEU_A:514; ASP_A:594; ILE_A:463; GLN_A:530 and THR_A:529.

Another compound from E. tereticornis, caryophyllene-(l1) (1.85%), ranked second and showed strong interaction with BRAF. In contrast, compounds from Eucalyptus camaldulensis, such as α-copaene (0.51%) and α-caryophyllene (0.59%), demonstrated moderate binding affinities to BRAF. Interestingly, alloaromadendrene, present in both species but at a higher concentration in E. tereticornis (4.16%), interacted with both FAK and BRAF, indicating dual-targeting potential.

Although the anticancer potential of Eucalyptus essential oils has been reported previously, to the best of our knowledge, this is the first study to comprehensively explore the molecular docking-based interaction profiles of volatile constituents from E. camaldulensis and E. tereticornis against melanoma-associated protein targets. The docking analysis strongly supports the experimental cytotoxicity findings by demonstrating that multiple essential oil components interact effectively with proteins critically involved in melanoma pathogenesis, particularly BRAF. Interestingly, alloaromadendrene, present in both species but at a higher concentration in E. tereticornis (4.16%), interacted with both FAK and BRAF, indicating dual-targeting potential. Consistent with these findings, previous studies have reported that β-caryophyllene-a sesquiterpene isomer structurally related to caryophyllene-(l1)-exhibits significant interactions with PI3K and AKT proteins and downregulates the PI3K/AKT signaling pathway, which regulates key cellular processes such as proliferation, survival, and angiogenesis. Moreover, β-caryophyllene has been shown to induce apoptosis through suppression of PI3K/AKT signaling and ROS-mediated activation of MAPK pathways, further supporting the biological relevance of caryophyllene-related compounds in cancer therapy [49,50].

Overall, the molecular docking results indicate that E. tereticornis essential oil contains a greater number of bioactive constituents with strong and/or multitarget interactions with key melanoma-related proteins. These findings provide a mechanistic basis for further investigation of E. tereticornis as a promising candidate for targeting the MAPK/ERK signaling pathway in the development of anti-melanoma therapeutics [47]. Nevertheless, further experimental validation is required to confirm the functional relevance of these in silico predictions. Specifically, assessment of pathway-related biomarkers-such as phosphorylated ERK (pERK), phosphorylated AKT (pAKT), and FAK phosphorylation levels-using Western blot or related techniques would be essential to verify whether these signaling pathways are effectively modulated in melanoma cells.


Table 2 Docking results of top-ranked potential drug compounds with target proteins by CB-Dock2.

Protein

Ligand

Docking score

Interaction

Amino acids (position of interaction)

BRAF

Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene

8.5

Pi-Alkyl

TRP_A:531, PHE_A:595

Pi-Sigma

PHE_A:583

Alkyl

CYS_A:532, ALA_A:481, LYS_A:483, VAL_A:471

Van der Waals

LEU_A:514, ASP_A:594, ILE_A:463, GLN_A:530, THR_A:529

FAK

Alloaromadendrene

8.2

Pi-Alky

HIS_A:574

Alkyl

LEU_A:505, LEU_A:597, VAL_A:504

Van der Waals

ASP_A:594, GLY_A:593, ILE_A:592, ILE_A:513, THR_A:508, LEU_A:567, ILE_A:572, ILE_A:573

BRAF

-Copaene


8.2

Pi-Alkyl

PHE_A:595

Alkyl

LEU_A:514, LYS_A:483, ALA_A:482, PHE_A:595, VAL_A:471

Van der Waals

VAL_A:482, ILE_A:527, THR_A:529, GLN_A:530, CYS_A:532, TRP_A:531

BRAF

Palustrol (Ledum)

8.2

Pi-Alkyl

PHE_A:595

Alkyl

VAL_A:471, ILE_A:463, ALA_A:481

Van der Waals

LYS_A:483, LEU_A:514, THR_A:529, GLN_A:530, CYS_A:532, PHE_A:583, TRP_A:531

BRAF

Caryophyllene-(l1)

8.2

Pi-Alkyl

PHE_A:595

Pi-Sigma

TRP_A:531

Alkyl

VAL_A:471, ALA_A:481, CYS_A:532

Van der Waals

LEU_A:514, THR_A:529, LYS_A:483, ASP_A:594, GLY_A:464, ILE_A:463, PHE_A:583

BRAF

-Caryophyllene

8.1

Pi-Alkyl

PHE_A:595

Pi-Sigma

TRP_A:531

Alkyl

LYS_A:483, VAL_A:471, ALA_A:481, CYS_A:532

Van der Waals

LEU_A:514, THR_A:529, GLY_A:464, ILE_A:463, THR_A:599

Pi-Alkyl

PHE_A:595

BRAF

Alloaromadendrene

8.1

Pi-Alkyl

HIS_A:574

Van der Waals

GLU_A:501, ASP_A:594, GLY_A:593, ILE_A:592, ILE_A:513, THR_A:508, LEU_A:567, ILE_A:572, ILE_A:573

Alkyl

LEU_A:505, LEU_A:597, VAL_A:504


Figure 6 Interaction: BRAF and bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene (A), FAK and alloaromadendrene (B), BRAF and -copaene (C), BRAF and palustrol (Ledum) (D), BRAF and caryophyllene-(l1) (E), BRAF and -caryophyllene (F), BRAF and alloaromadendren and (G) 2D model.


Absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis

In this study, the top six compounds with the highest docking scores were further evaluated for their drug-like properties, including biological activity, safety, efficacy, and pharmacokinetic characteristics, particularly focusing on absorption, distribution, metabolism, excretion, and toxicity (ADMET) [30]. According to the swissADME analysis, all compounds violated Lipinski’s based on the MLOG > 4.15 criterion, except for palustrol. As noted by Manhanthesh MT et al. (2020), compounds that fail more than two Lipinski criteria are generally considered less likely to exhibit good intestinal absorption [51,52]. In our analysis, although most compounds showed a violation in MLOGP, they still satisfied the remaining Lipinski parameters, indicating that they can be considered as partially compliant with Lipinski’s Rule of Five (Table 3) [31].

In addition, ADMET predictions using pkCSM were summarized in Table 4, all compounds demonstrated high predicted human intestinal absorption (HIA > 93%), suggesting strong potential for digestive absorption. Most compounds also showed blood-brain barrier (BBB) permeability, with Log BB values >0.3, indicating the capacity to penetrate the central nervous system (CNS). Additionally, all compounds exhibited CNS permeability within the acceptable range (‒1 to ‒3 Log PS), implying potential applicability in CNS-related therapeutic targets. In terms of metabolism, compound C4 showed no predicted interaction with cytochrome P450 (CYP) enzymes. Compound C1 was predicted to be both a substrate and an inhibitor of CYP2D6, CYP3A4, or CYP1A2. Similarly, C5 was predicted to act as both a substrate and inhibitor of CYP3A4 and CYP1A2. In contrast, C2 and C6 were identified as substrates of CYP2D6 and CYP3A4, respectively. C3 was predicted to be a substrate for both CYP2D6 and CYP3A4. Regarding toxicity, none of the compounds were predicted to be hepatotoxic. However, skin sensitization was observed in C4 - C6, suggesting a potential risk of allergic reactions, which should be addressed during future drug development.

Overall, despite minor safety concerns in a subset of compounds, the ADMET profiles indicate favorable pharmacokinetic and drug-like characteristics for most candidates, supporting their potential for further development as therapeutic agents.


Table 3 The prediction of physicochemical properties of six compounds, based on Lipinski rules by SwissADME.


Physico-Chemical properties

Lipinski rules

Compound Numbers

Name compound

CID

Formula

Molecular weight (g/mol)

Molar refractive index

Rotatable bonds

Log P (Octanol/Water)

HBA

HBD

Categorical (Yes/No)

Rule

500

40 MR 130

10

<5

10

<5

Yes/No

C1

Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene

562714

C14H20

188.31

60.48

0

5.39

0

0

Yes, 1 violation, MLOGP>4.15

C2

Alloaromadendrene

10899740

C15H24

204.35

67.14

0

5.65

0

0

Yes, 1 violation, MLOGP>4.15

C3

-Copaene

19725

C15H24

204.35

67.14

1

5.65

0

0

Yes, 1 violation, MLOGP>4.15

C4

Palustrol (Ledum)

110745

C15H26O

222.37

68.82

0

3.81

1

1

Yes, 0 violation

C5

Caryophyllene-(l1)

5369754

C15H24

204.35

68.78

0

4.63

0

0

Yes, 1 violation, MLOGP>4.15

C6

-Caryophyllene

5281520

C15H24

204.35

70.42

0

4.53

0

0

Yes, 1 violation, MLOGP>4.15


Table 4 The prediction of ADMET in silico pharmacokinetic properties of six compounds by pkCSM.

Compound

1

2

3

4

5

6

Absorption

HIA

Numeric

(% Absorbed)

95.771

95.302

96.221

93.979

94.755

94.682

Caco 2

Numeric

(log Papp in 10-6 cm/s)

1.384

1.395

1.374

1.496

1.416

1.421


Skin Permeability

Numeric (Log Kp)

2.379

1.828

2.225

2.247

1.571

1.739

Distribution

BBB

Numeric (Log BB)

0.891

0.822

0.887

0.617

0.726

0.663

CNS

Numeric (Log PS)

1.106

1.769

1.659

2.536

2.172

2.555

Metabolism

Substrate

Cytochromes

2D6

Categorical (Yes/No)

Yes

Yes

Yes

No

No

No

3A4

Yes

No

Yes

No

Yes

Yes

Inhibitor

1A2

Yes

No

No

No

Yes

No

2C19

No

No

No

Yes

No

No

2C9

No

No

No

Yes

No

No

2D6

No

No

No

No

No

No

3A4

No

No

No

No

No

No

Excretion

TRC

Numeric

(Log mL/min/kg)

1.032

0.926

0.95

0.856

1.065

1.282

Toxicity

AMES Toxicity

Categorical (Yes/No)

No

No

No

No

No

No

Hepatotoxicity

No

No

No

No

No

No

Skin Sensitization

No

No

No

Yes

Yes

Yes

Abbreviations: HIA = Intestinal Absorption Human; Caco 2 = Caco 2 Permeability; BBB = blood-brain barrier Permeability; CNS = central nervous system; TRC = Total renal clearance.


Networking pharmacology

To further elucidate the molecular mechanisms underlying the anticancer potential of compounds from Eucalyptus camaldulensis and Eucalyptus tereticornis, target prediction was performed using the SwissTargetPrediction database (limited to Homo sapiens), yielding potential human target genes (Table 3(S)). These targets were subsequently subjected to Gene Ontology (GO) and KEGG pathway enrichment analyses to explore their functional significance (Figure 3(S)).

For bicyclo[4.1.0]heptane, 7-bicyclo[4.1.0]hept-7-ylidene, GO analysis identified 58 statistically significant terms (p < 0.05), comprising 27 biological process (BP) terms, 6 cellular component (CC) terms, and 25 molecular function (MF) terms. For alloaromadendrene, a total of 311 significant GO terms were identified, including 273 BP, 11 CC, and 27 MF terms. α-copaene was associated with 501 enriched GO terms, distributed across 363 BP, 35 CC, and 103 MF categories. Palustrol (ledum) yielded 146 significant GO terms, including 112 BP, 6 CC, and 28 MF terms. Notably, caryophyllene-(l1) demonstrated the most extensive enrichment, with 1,136 significant GO terms, including 1,000 BP, 14 CC, and 122 MF terms.

The most significantly enriched biological processes and molecular functions among all compounds included pathways related to lipid metabolism, steroid metabolism, glucuronosyltransferase activity, UDP-glycosyltransferase activity, and lipid oxidation. According to Dellinger et al. [53], UDP-glucuronosyltransferases (UGTs) play a critical role in anticancer drug detoxification and metabolism. In particular, inhibition of UGT2B7 has been shown to enhance the sensitivity of WM115 melanoma cells to afriamycin and epirubicin. This observation aligns with our predicted target genes, especially for bicyclo[4.1.0]heptane, 7-bicyclo[4.1.0]hept-7-ylidene; alloaromadendrene; and palustrol, all of which were associated with UGT-related pathways [53]. In addition, metabolic reprogramming of lipid processes plays an essential role in melanoma progression and therapy resistance. This includes lipid metabolism, lipid oxidation, and enzymes such as LPCAT1, which converts lysophosphatidylcholine to phosphatidylcholine and promotes oncogenic signaling through membrane lipid remodeling. Similarly, Yoshio Yamauchi et al. [54] demonstrated that SREBP regulates cholesterol and fatty acid biosynthesis and modulates PI3K-AKT-mTORC1 signaling in human melanoma cells; inhibition of this axis contributes to attenuation of tumor development [54].

Analysis shows strong localization to endoplasmic reticulum (ER), ER membrane, and presynaptic membrane. During melanin synthesis, tyrosinase folds in the ER before melanosome transport; ER stress disrupts this folding, cutting tyrosinase levels and inhibiting melanin production in melanocytes [55]. ER and presynaptic enrichments point to protein folding responses (e.g., UPR) and signaling cascades.

KEGG pathway enrichment further highlighted key pathways such as cancer pathway, chemical carcinogenesis-receptor activation, chemical carcinogenesis-DNA adducts, and broad cancer-associated signaling pathways, suggesting the relevance of these compounds in modulating gene networks implicated in carcinogenesis.


Kaplan-meier survival analysis for signature genes

After assessing the survival status of signature genes associated with skin cutaneous melanoma (SKCM) from TCGA datasets in relation to the six top-scoring compounds from molecular docking analysis, we observed that the high-risk subpopulation exhibited significantly poorer survival outcomes compared to the low-risk group (Figure 4(S)). Among these compounds, two derived from Eucalyptus tereticornis showed statistically significant associations with skin cancer prognosis (p < 0.05): Alloaromadendrene (log-rank p = 0.015) and caryophyllene-(l1) (log-rank p = 0.0096). Both compounds were present at relatively high levels in E. tereticornis, particularly alloaromadendrene, which accounted for 4.16% of the essential oil composition (ranking sixth in its compound profile), compared to only 0.94% in E. camaldulensis. These results indicate that the target genes influenced by alloaromadendrene and caryophyllene-(l1) have a significant impact on melanoma patient survival. This finding supports the therapeutic potential of E. tereticornis, suggesting it may exert targeted anticancer effects through specific bioactive compounds.

Together, these findings demonstrate that E. tereticornis essential oil harbors phytochemical constituents with both predicted molecular efficacy and clinical relevance in melanoma. The dual evidence from gene pathway enrichment and survival analysis highlights a strong rationale for further investigation of compounds such as alloaromadendrene and caryophyllene-(l1) as potential lead structures in the development of plant-derived therapeutics for skin cancer. Future studies should validate these predictions through in vitro and in vivo models to assess their efficacy, safety, and mechanism of action in a melanoma context.


Conclusions

This study reveals that essential oils from E. camaldulensis and E. tereticornis possess anticancer activities. E. tereticornis oil demonstrated superior cytotoxicity against B16F10 melanoma cells and inhibited cell migration and adhesion. GC-MS analysis identified key compounds, including β-pinene and caryophyllene oxide, while molecular docking supported their potential anticancer effects. These findings suggest that E. tereticornis essential oil holds promise as a natural agent for melanoma treatment, meriting further investigation.


Declaration of Generative AI in Scientific Writing

The authors acknowledge the use of generative AI tools (for example, ChatGPT by OpenAI) in the preparation of this manuscript, specifically for language editing and grammar correction. No content generation or data interpretation was performed by AI. The authors take full responsibility for the content and conclusions of this work.


CRediT Author Statement

Viet Hoang: Conceptualization, Project administration, Writing – review & editing; Thang Truong Le: Conceptualization, Experiment design, Writing – original draft, Writing – review & editing; Tran Hoang Ngau: Project administration, Data curation, Formal analysis, Writing – original draft, Writing – review & editing; Chau Dao Minh Huynh: Data curation, Formal analysis, Writing – original draft, Writing – review & editing; Hoai Nguyen Thi Thanh: Data curation, Formal analysis; Ngan Phan Thu: Data curation, Formal analysis; Tran Ngo Bao Huynh: Data curation, Formal analysis. All authors have read and agreed to the published version of the manuscript.


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Supplementary Material


Figure S1 Gas chromatography analysis of E. camaldulensis essential oils.



Figure S2 Gas chromatography analysis of E. tereticornis essential oils.






Table S1 Docking results of Top-Ranked potential drugs compound with target protein by CB-Dock2.

No

Code

Protein

Cid

Compound

Gravity

Energy

1

6XFP

BRAF

562714

Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene

1

-8.5

2

1MP8

FAK

10899740

Alloaromadendrene

1

-8.2

3

6XFP

BRAF

19725

alpha-Copaene

2

-8.2

4

6XFP

BRAF

110745

Palustrol (Ledum)

1

-8.2

5

6XFP

BRAF

5369754

Caryophyllene-(l1)

2

-8.2

6

6XFP

BRAF

5281520

alpha-Caryophyllene

1

-8.1

7

6XFP

BRAF

10899740

Alloaromadendrene

2

-8.1

8

6XFP

BRAF

91457

beta-Eudesmol

2

-7.9

9

6XFP

BRAF

92812

Ledol

2

-7.9

10

6XFP

BRAF

5280435

Phytol

1

-7.9

11

6XFP

BRAF

5317844

alpha-Guaiene

1

-7.9

12

6XFP

BRAF

6432005

gamma-Eudesmol

1

-7.9

13

6XFP

BRAF

11858788

Epiglobulol

2

-7.9

14

6XFP

BRAF

21675005

Agarospirol

1

-7.9

15

6XFP

BRAF

5281515

beta-Caryophyllene

2

-7.8

16

8VM2

NRAS

5369754

Caryophyllene-(l1)

1

-7.8

17

1MP8

FAK

92231

Spathulenol

1

-7.7

18

1MP8

FAK

110745

Palustrol (Ledum)

1

-7.7

19

6XFP

BRAF

442393

beta-Selinene

1

-7.7

20

8VM2

NRAS

92231

Spathulenol

1

-7.7

21

6XFP

BRAF

10856614

alpha-Selinene

1

-7.6

22

1MP8

FAK

5281515

beta-Caryophyllene

1

-7.5

23

1MP8

FAK

5281520

alpha-Caryophyllene

1

-7.5

24

1MP8

FAK

10856614

alpha-Selinene

1

-7.5

25

6XFP

BRAF

92231

Spathulenol

1

-7.5

26

6XFP

BRAF

1742210

Caryophyllene oxide

2

-7.5

27

1MP8

FAK

92812

Ledol

1

-7.4

28

1MP8

FAK

562714

Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene

1

-7.4

29

6XFP

BRAF

9585226

6,6-Dimethyl-2 methylenebicyclo[3.1.1]heptan-3-one

1

-7.4

30

8VM2

NRAS

6432005

gamma-Eudesmol

1

-7.4

31

1MP8

FAK

442393

beta-Selinene

1

-7.3

32

1MP8

FAK

1742210

Caryophyllene oxide

1

-7.3

33

1MP8

FAK

5317844

alpha-Guaiene

1

-7.3

34

1MP8

FAK

19725

alpha-Copaene

1

-7.2

35

1MP8

FAK

5369754

Caryophyllene-(l1)

1

-7.2

36

6XFP

BRAF

111037

alpha-Terpineol acetate

1

-7.2

37

6XFP

BRAF

530421

Aristolene

2

-7.2

38

1MP8

FAK

6432005

gamma-Eudesmol

1

-7.1

39

1MP8

FAK

11858788

Epiglobulol

1

-7.1

40

8VM2

NRAS

442393

beta-Selinene

1

-7.1

41

8VM2

NRAS

10856614

alpha-Selinene

1

-7.1

42

1MP8

FAK

91457

beta-Eudesmol

1

-6.9

43

6XFP

BRAF

1201530

L-trans-Pinocarveol

2

-6.9

44

8VM2

NRAS

5280435

Phytol

1

-6.9

45

8VM2

NRAS

5363138

5-Isopropyl-6-methyl-hepta-3,5-dien 2-ol

1

-6.9

46

8VM2

NRAS

10899740

Alloaromadendrene

1

-6.9

47

6XFP

BRAF

94266

Sabinyl acetate

2

-6.8

48

6XFP

BRAF

107217

1,3,3-Trimethylbicyclo[2.2.1]hept-2-yl acetate

2

-6.8

49

6XFP

BRAF

5363138

5-Isopropyl-6-methyl-hepta-3,5-dien 2-ol

2

-6.8

50

8VM2

NRAS

91457

beta-Eudesmol

1

-6.8

51

8VM2

NRAS

110745

Palustrol (Ledum)

1

-6.8

52

8VM2

NRAS

5281515

beta-Caryophyllene

1

-6.8

53

8VM2

NRAS

5281520

alpha-Caryophyllene

1

-6.8

54

8VM2

NRAS

21675005

Agarospirol

1

-6.8

55

1MP8

FAK

530421

Aristolene

1

-6.7

56

1MP8

FAK

21675005

Agarospirol

1

-6.7

57

6XFP

BRAF

17868

alpha-Thujene

2

-6.7

58

8VM2

NRAS

5317844

alpha-Guaiene

1

-6.7

59

6XFP

BRAF

6448

Bornyl acetate

2

-6.6

60

6XFP

BRAF

7460

alpha-Phellandrene

1

-6.6

61

8VM2

NRAS

111037

alpha-Terpineol acetate

1

-6.6

62

6XFP

BRAF

17100

alpha-Terpineol

2

-6.5

63

8VM2

NRAS

92812

Ledol

1

-6.5

64

6XFP

BRAF

7461

gamma-Terpinene

2

-6.4

65

6XFP

BRAF

11230

Terpinen-4-ol

2

-6.4

66

6XFP

BRAF

440917

D-Limonene

2

-6.4

67

6XFP

BRAF

440967

beta-Pinene

2

-6.4

68

8VM2

NRAS

19725

alpha-Copaene

1

-6.4

69

8VM2

NRAS

562714

Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene

1

-6.4

70

8VM2

NRAS

1742210

Caryophyllene oxide

1

-6.4

71

8VM2

NRAS

11858788

Epiglobulol

1

-6.4

72

2X18

AKT3

92812

Ledol

4

-6.3

73

6XFP

BRAF

6654

alpha-Pinene

2

-6.3

74

6XFP

BRAF

7463

p-Cymene

2

-6.3

75

6XFP

BRAF

10703

o-Cymene

2

-6.3

76

6XFP

BRAF

62044

2,3-Pinanediol

1

-6.3

77

6XFP

BRAF

79044

2-Carene

1

-6.3

78

8VM2

NRAS

94266

Sabinyl acetate

1

-6.3

79

1MP8

FAK

5363138

5-Isopropyl-6-methyl-hepta-3,5-dien 2-ol

1

-6.2

80

6WHO

HDC

6432005

gamma-Eudesmol

2

-6.2

81

6XFP

BRAF

530422

4-Carene

1

-6.2

82

8VM2

NRAS

10703

o-Cymene

1

-6.2

83

1MP8

FAK

94266

Sabinyl acetate

1

-6.1

84

1MP8

FAK

111037

alpha-Terpineol acetate

1

-6.1

85

6XFP

BRAF

2758

Eucalyptol

1

-6.1

86

1MP8

FAK

107217

1,3,3-Trimethylbicyclo[2.2.1]hept-2-yl acetate

3

-6

87

2X18

AKT3

6432005

gamma-Eudesmol

2

-6

88

6XFP

BRAF

135982

Spiro(4,5)decane

1

-6

89

8VM2

NRAS

7461

gamma-Terpinene

1

-6

90

8VM2

NRAS

7463

p-Cymene

1

-6



Table S2 Gene sets were used in GO – KEGG and survival analysis.

Compounds

Gene

Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene

Alloaromadendrene


-Copaene


Palustrol (Ledum)

Caryophyllene-(l1)

alpha-Caryophyllene

1

FAAH

NR1H3

ESR1

UGT2B7

SQLE

SQLE

2

TRPV1

NR1H2

CHRM2

UGT2B11

FAAH

GLI1

3

TRPV4

UGT2B7

AR

UGT2B17

TRPV1

GLI2

4

TRPV2

UGT2B11

CYP19A1

UGT2B4

TRPV4

GLI3

5

SQLE

UGT2B17

ACHE

UGT2B10

TRPV2

TRPV1

6

UGT2B7

UGT2B4

SLC6A2

UGT2B15

NR1H2

TRPV4

7

UGT2B11

UGT2B10

SLC6A4

UGT2A3

NR1H3

TRPV2

8

UGT2B17

UGT2B15

CYP2C19

UGT2B28

TOP1

CNR1

9

UGT2B4

UGT2A3

SLC6A3

UGT2A1

Q969P6

PPARG

10

UGT2B10

UGT2B28

ESR2

ESR1

ESR1

PPARD

11

UGT2B15

UGT2A1

CHRM4

AR

CHRM2

PPARA

12

UGT2A3

LDLR

CHRM5

UGT1A4

AR

ALOX5

13

UGT2B28

VLDLR

CHRM1

CDC25A

CYP19A1

ALOX15B

14

UGT2A1

LRP8

CHRM3

CDC25B

ACHE

O75342

15

ESR1

TDP1

BCHE

ESR2

SLC6A2

ALOX15

16

BRAF

BRAF

BRAF

BRAF

BRAF

BRAF

17

NRAS

NRAS

NRAS

NRAS

NRAS

NRAS

18

AKT3

AKT3

AKT3

AKT3

AKT3

AKT3

19

FAK

FAK

FAK

FAK

FAK

FAK

20

HDAC2

HDAC2

HDAC2

HDAC2

HDAC2

HDAC2


(A)


(B)

(C)


(D)

(E)


(F)


Figure S3 Pathway prediction including Biological processes, Cellular components, Molecular functions, KEGG pathways. (A) Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene; (B) Alloaromadendrene; (C) -Copaene; (D) Palustrol (Ledum); (E) Caryophyllene-(l1); (F) -Caryophyllene.





Figure S4 Kaplan-Meier survival analysis of compounds with skin cancer skin cutaneous melanoma (SKCM). (A) Bicylo[4.1.0]heptane,7 bicyclo[4.1.0]hept-7-ylidene; (B) Alloaromadendrene; (C) -Copaene; (D) Palustrol (Ledum); (E) Caryophyllene-(l1); (F) -Caryophyllene.