Open Access Article
Ranza Elrayess†
*ab,
Mohamed S. Nafie†
cd,
Safwat A. Ahmede,
Yosra K. Alkazzazf,
Khaled M. Darwish
gh,
Heba N. Gad El-Haki and
Enas E. Eltamany
*e
aPharmaceutical Organic Chemistry Department, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt. E-mail: Ranza.el-rayes@pharm.suez.edu.eg
bPharmaceutical Organic Chemistry Department, College of Pharmacy, Al-Ayen Iraqi University, An Nasiriyah, 64001, Iraq
cDepartment of Chemistry, College of Sciences, University of Sharjah, Sharjah, 27272, United Arab Emirates
dDepartment of Chemistry, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt
eDepartment of Pharmacognosy, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt. E-mail: enas_mostafa@pharm.suez.edu.eg
fInstitute of Biotechnology for Postgraduate Studies and Research, Suez Canal University, Ismailia, 41522, Egypt
gDepartment of Medicinal Chemistry, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
hDepartment of Medicinal Chemistry, Faculty of Pharmacy, Galala University, New Galala 43713, Egypt
iDepartment of Zoology, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt
First published on 14th April 2026
Since there is a great deal of interest in the examination of the potential role of herbal and complementary medicines in the treatment of different types of cancer, we report here the semi-synthesis of novel derivatives of the naturally occurring P-CA and FA as dual EGFR/VEGFR2 inhibitors and investigate their cytotoxicity through in vitro and in vivo studies, shedding light on their potential and mechanism of action. The synthesized compounds were evaluated for their cytotoxicity against MCF-7, HepG-2, A549 cell lines, and WISH normal cells. Compounds 3d, 3f, and 3h showed potent cytotoxicity against MCF-7 with IC50 values of 1.16, 1.04, and 1.1 µM, respectively, compared to Sorafenib (IC50 = 3.04 µM). Interestingly, compound 3f, the most active compound, exhibited potent EGFR and VEGFR2 inhibition with an IC50 value of 75.4 nM and 36.2 nM, respectively, compared to Sorafenib with an EGFR and VEGFR2 inhibition IC50 values of 69.8 nM and 30.1 nM. Additionally, compound 3f dramatically induced apoptotic cell death in MCF-7 cells, increasing the death rate by 32.9% compared to 0.95% in the untreated control. Furthermore, compound 3f treatment significantly increased the cell population at the G1-phase by 79.6% compared to control 53.3%, while cells in S and G2/M phases decreased and caused cell death in MCF-7 cells, stopping their growth in the G1 phase. In vivo studies revealed that compound 3f and Sorafenib decreased the mass of solid tumor to 132 mg and 116 mg, respectively. Accordingly, the tumor volume was reduced from 319 mm3 in the SEC-bearing model to 134 mm3 and 119.6 mm3, respectively. Hence, both treatments inhibited tumor proliferation by 57.9% and 62.5%, respectively. Ultimately, a histological evaluation was conducted to assess compound 3f's efficacy and safety. Finally, molecular docking revealed the bias of both EGFR and VEGFR2 pockets towards compound 3f compared to other synthesized compounds. The docking scores obtained for 3f against EGFR and VEGFR2 indicated comparable binding profiles at ΔG scores −9.48 and −10.12 kcal mol−1, respectively, exhibiting a quite higher binding affinity than the other analogs. The results revealed that compound 3f had promising structural and functional properties, making it a promising candidate for further research into the design and development of more active analogs.
Among the most prevalent dietary pharmacologically active natural metabolites are the hydroxycinnamates, such as the p-coumaric and ferulic acids. The p-coumaric acid (p-CA) has a well-proven wide range of therapeutic capabilities including antitumor, anti-inflammatory, antioxidant activities,5,6 as well as chemoprotective, cardioprotective, and neuroprotective properties.7,8 Its capacity to regulate a variety of metabolic pathways, such as apoptosis, necrosis, angiogenesis, and inflammation, makes it a potent anticancer drug.9 However, because of its unfavored bioavailability and biocompatibility, p-CA's use as an anticancer medication has been exceptionally restricted, triggering scientists towards compound derivatization. The majority of p-CA derivatives and compounds with a phenethyl moiety showed prominent activities were adding a phenethyl moiety with a p-coumaroyl group boosted the p-CA's anticancer potential.10 The ester phenethyl p-coumarate I and amide N-phenethyl-p-coumaramide II (Fig. 1) yielded IC50 values of 1.0 and 5.89 µg mL−1, respectively, on P388 leukemia murine cells.10 According to a 2023 study by Joana et al.,11 esterification of p-CA (III and IV) enhanced the regulation of human and murine melanoma cell growth and may be a strategy for creating new anticancer drugs.11 Targeting the breast cancer cell line, reports highlighted relevant antitumor activity of p-CA towards the MCF-7 cancerous cell line where apoptosis induction, suppression of the RAS genes, and activation of Janus kinase/p38/MAPK, where relevant with the natural molecule.12,13 Several semi-synthetic p-CA analogs of coupled p-CA molecule with amino acid scaffolds V (e.g. threonine, lysine, or phenylalanine) yielded relevant selectivity indices (up to 5.1) and micromolar range IC50 (≈39 µM).14
Ferulic acid (FA) has well-known therapeutic endeavors such as anti-inflammatory,15,16 antioxidant,17 and antitumor properties.18–21 In 2012, Li et al. used a high-throughput screening (HTS) method to evaluate the anticancer properties of alkyl esters and NO-donors of ferulic acid (FA) and caffeic acid (CA), and they reported the structure–activity connections. Phenylsulfonyl furoxan nitrates VI, VII, and VIII (Fig. 1) exhibited powerful anticancer activity against every human cancer cell in the NO-donor series. All of them had IC50 values below 10 µM.19 Ferulic acid fructo-oligosaccharide (FA FOS) conjugate was synthesized by Eldin et al. in 2023. The group treated with FA FOS had 60.83% fewer tumor lesions than the control group.22 Suggested molecular signaling pathways were through p38/MAPK/ERK, PI3K/AKT, NF-κB, and AKT/mTOR signaling lineages.23
As highlighted above, molecular aspects of p-CA anticancer activity have been highlighted to target several kinases signaling pathways. Among the most interesting cancer-associated kinase families are the tyrosine kinases which have garnered a lot of attention as possible targets for cancer treatments because of their crucial roles in cellular signaling cascades.24 Currently, more than 70 druggable small-molecule inhibitors of the protein kinases have been approved by the US-FDA, while another additional 16 kinase inhibitors were approved by other regulatory bodies. One member of the superfamily of tyrosine kinases is the epidermal growth factor receptor (EGFR), which regulates a number of biological processes, including cell division, growth, survival, proliferation, and apoptosis. Increased cellular growth, aggression, and invasiveness traits have been linked to EGFR overexpression in cancer cells, which has also been linked to triggered downstream signaling pathways. As a result, EGFR has emerged as a key target for the treatment of several malignancies, such as non-small cell lung, breast, colon, and prostate cancers.25 The type V receptor tyrosine kinase, vascular endothelial growth factor receptor 2 (VEGFR2), is predominantly expressed in vascular endothelial cells.26 It regulates angiogenesis and plays a vital role in both cancer development and normal human development.27 VEGFR2 expressions in carcinoma cells have been documented in numerous studies, particularly in colorectal, non-small cell lung, urothelial, and mammary carcinomas. Diffuse large B-cell lymphoma and malignant melanoma have also been linked to tumor cell expression.26 As a result, blocking VEGFR-2 has been established as a treatment strategy for cancer.
The two kinase biotargets, EGFR and VEGFR2, share a common signaling pathways, where EGFR blockage can lead to a reduction in VEGF production that finally suppresses angiogenesis. However, this kind of suppression can paradoxically drive a compensatory overexpression of VEGFR2 within the later therapeutic stages which would contribute to the development of cancer resistance in a phenomenon further being demonstrated with long-term administration of EGFR inhibitors.28,29 As a result, simultaneous inhibition of VEGFR2, alongside EGFR, has emerged as a promising strategy to synergistically enhance therapeutic outcomes and delay/prevent the emergence of cancer resistance. Clinical evidence highlighting the therapeutic combination of Erlotinib (EGFR inhibitor) with Foretinib (Mesenchymal Epithelial Transition (MET)/VEGFR2 inhibitor) postulated clinical responses in patients with locally advanced or metastatic non-small cell lung cancer (NSCLC) at phase I/II clinical trials (NCT01068587).
Correlating the natural molecules towards the two kinases, it has been reported that both FA and P-CA can down-regulate EGFR expression.30 Apart from its anti-proliferative action, P-CA has been demonstrated to inhibit the expression of the EGFR gene in HCT-15 cells. Furthermore, in the colon tissue of rats treated with DMH, P-CA co-administration reduced the expression of angiogenic proteins (VEGF, PDGF, and bFGF).31 In addition to blocking the AKT and ERK signaling pathways, which are known to be essential for angiogenesis, P-CA also suppressed the tube formation, migration, and sprouting of endothelial cells in rat aortic rings. It was also able to downregulate the mRNA expression levels of the two main angiogenic factors, vascular endothelial growth factor and basic fibroblast growth factor. Collectively, these results show that FA and P-CA acid have strong anticancer effects due to their ability to inhibit EGFR and VEGFR2.32,33 Nonetheless, the physiochemical properties of these parent molecules still represent a significant barrier towards their sole applications. In these regards, we here in our study report the semi-synthetic derivatization of p-CA and FA to furnish novel small molecule analogs with improved properties, as well as capable of dual targeting EGFR/VEGFR2 for inhibition. The anti-proliferative activity against cancer was thoroughly investigated through in vitro and in vivo studies as well as computational approach for shedding the light on their mechanistic activities down to their molecular levels.
One of the most promising approaches to developing novel candidates that could increase affinity and efficacy while overcoming cross-resistance and/or adverse effects in comparison to the parent medications is hybridization.25 Given the significance of hybrid molecules in the management of many cancer kinds and routes.36–38 Herein, we introduce the design of novel FA and P-CA–hydrazone hybrids (Fig. 2) that combine FA or p-CA and hydrazone into a single compact structure, which can target cancer-associated biotargets. We further incorporated within our designed compounds the key pharmacophoric features of both EGFR/VEGFR2 kinases. Typically, such dual inhibitors incorporate structural elements including hinge-binding moieties, aryl hydrophobic scaffolds, and hydrogen bond donors/acceptors that are capable of interacting with the target's DFG motif, which is crucially involved in kinase activation. Aligned with the above structural requirements, the hydrazide–hydrazone moiety possesses polar capabilities (hydrogen bond acceptors/donors) to engage with the amino acids at the kinase hinge region. The presence of a central aromatic core would be relevant for mediating hydrophobic contacts with the kinases' central sub-pocket. The other hydrazide–hydrazone moiety on the other side of the compounds we designed to mediate relevant polar interactions at the DFG-motif which is reported important for potent kinase inhibitors.39 Finally, the aromatic terminal rings were incorporated to satisfy the double hydrophobic site on both sides of the ATP's adenine site. It is worth mentioning that our synthesized analogs also retain the key pharmacophoric characteristics of Sorafenib (Fig. 2), as well-established multi-kinase inhibitor exerting its anticancer activity through hampering several signaling pathways, most notably VEGFR2-mediated angiogenesis, while also suppressing the tumor cell proliferation within EGFR-related signaling pathways. For the SAR analysis of these compounds, the produced compounds have varied replacements with electron-releasing/electron-withdrawing groups at the terminal aromatic moieties.
C), 1667 (C
O), 1248 (C–O–C). EI-MS (m/z, %): 484 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.63 (s, 1H, NH), 8.34 (s, 1H, CH
N), 8.03 (s, 1H, CH
N), 7.71–7.65 (m, 8H, Ar–H), 7.62 (d, J = 16 Hz, 1H, CH
CH), 7.43–6.97 (m, 6H, Ar–H), 6.48 (d, J = 16 Hz, 1H, CH
CH), 5.21 (s, 2H, COO–CH2), 4.74 (s, 1H, NH), 3.70 (s, 2H, O–CH2); 13C NMR (101 MHz, DMSO-d6) δ 168.71 (2C), 166.91, 160.14, 144.27 (2C), 143.95, 133.94, 130.01 (2C), 128.81 (4C), 128.78 (4C), 127.14 (2C), 126.95 (2C), 115.56 (2C), 114.95, 66.43, 64.80. Anal. calcd. for C27H24N4O5: C, 66.93; H, 4.99; N, 11.56; O, 16.51. Found: C, 67.19; H, 5.07; N, 11.78.
C), 1619 (C
O), 1522 (NO2 Asym), 1399 (NO2 Sym), 1245 (C–O–C). EI-MS (m/z, %): 574 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.88 (s, 1H, NH), 8.52 (s, 1H, CH
N), 8.46 (s, 1H, CH
N), 8.28–7.66 (m, 9H, Ar–H), 7.63 (d, J = 16 Hz, 1H, CH
CH), 7.06–6.98 (m, 3H, Ar–H), 6.50 (d, J = 16 Hz, 1H, CH
CH), 5.28 (s, 2H, COO–CH2), 4.78 (s, 1H, NH), 3.72 (s, 2H, O–CH2); 13C NMR (101 MHz, DMSO-d6) δ 169.54 (2C), 167.41, 160.58, 148.73 (2C), 146.12, 144.75 (2C), 133.41 (2C), 130.85 (2C), 130.59 (2C), 130.49 (2C), 127.35, 124.69 (2C), 121.75 (2C), 116.06, 115.45 (2C), 66.82, 65.30. Anal. calcd. for: C27H22N6O9: C, 56.45; H, 3.86; N, 14.63; O, 25.06. Found: C, 56.71; H, 3.98; N, 14.89.
C), 1631 (C
O), 1244 (C–O–C). EI-MS (m/z, %): 544 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.66 (s, 1H, NH), 8.33 (s, 1H, CH
N), 8.01 (s, 1H, CH
N), 7.71–7.67 (m, 3H, Ar–H), 7.63 (d, J = 16 Hz, 1H, CH
CH), 7.38–6.98 (m, 9H, Ar–H), 6.48 (d, J = 16 Hz, 1H, CH
CH), 5.23 (s, 2H, COO–CH2), 4.76 (s, 1H, NH), 3.80 (s, 6H, 2× OCH3), 3.72 (s, 2H, O–CH2). 13C NMR (101 MHz, DMSO-d6) δ 168.78 (2C), 166.92, 164.01 (2C), 159.54, 147.97, 144.27 (2C), 143.81 (2C), 130.00 (2C), 129.89 (2C), 126.85 (2C), 119.62, 116.36 (2C), 115.20 (2C), 115.11, 114.95 (2C), 66.44, 64.85, 55.15 (2C). Anal. calcd. for: C29H28N4O7: C, 63.96; H, 5.18; N, 10.29; O, 20.57. Found: C, 64.15; H, 5.29; N, 10.45.
C), 1653 (C
O), 1248 (C–O–C). EI-MS (m/z, %): 664 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.66 (s, 1H, NH), 8.26 (s, 1H, CH
N), 7.94 (s, 1H, CH
N), 7.72–7.66 (m, 2H, Ar–H), 7.62 (d, J = 16 Hz, 1H, CH
CH), 7.06–6.97 (m, 6H, Ar–H), 6.49 (d, J = 16 Hz, 1H, CH
CH), 5.24 (s, 2H, COO–CH2), 4.75 (s, 1H, NH), 3.83 (s, 12H, 4× OCH3), 3.72 (s, 6H, 2× OCH3), 3.71 (s, 2H, O–CH2); 13C NMR (101 MHz, DMSO-d6) δ 168.79 (2C), 166.94, 160.22, 153.17 (4C), 144.29 (2C), 144.16, 143.78 (2C), 130.12 (2C), 130.02 (2C), 126.83, 115.58, 114.95 (2C), 104.28 (4C), 66.42, 64.91, 60.13 (2C), 55.97 (4C). Anal. calcd. for: C33H36N4O11: C, 59.63; H, 5.46; N, 8.43; O, 26.48. Found: C, 59.80; H, 5.67; N, 8.69.
C), 1550 (C
O), 1229 (C–O–C). EI-MS (m/z, %): 514 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.68 (s, 1H, NH), 8.31 (s, 1H, CH
N), 8.24 (s, 1H, CH
N), 8.07–7.71 (m, 4H, Ar–H), 7.60 (d, J = 16 Hz, 1H, CH
CH), 7.45–6.88 (m, 9H, Ar–H), 6.57 (d, J = 16 Hz, 1H, CH
CH), 5.21 (s, 2H, COO–CH2), 4.71 (s, 1H, NH), 3.85 (s, 3H, OCH3), 3.72 (s, 2H, O–CH2). 13C NMR (101 MHz, DMSO-d6) δ 169.33 (2C), 167.54, 160.21, 148.64, 144.90, 144.58 (2C), 134.57 (2C), 130.82 (2C), 130.63 (4C), 129.41 (4C), 127.77, 127.57, 116.19, 115.82, 115.57, 67.06, 65.43, 51.93. Anal. calcd. for: C28H26N4O6: C, 65.36; H, 5.09; N, 10.89; O, 18.66. Found: C, 65.62; H, 5.19; N, 11.06.
C), 1666 (C
O), 1552 (NO2 Asym), 1335 (NO2 Sym), 1249 (C–O–C). EI-MS (m/z, %): 604 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.86 (s, 1H, NH), 8.50 (s, 1H, CH
N), 8.42 (s, 1H, CH
N), 8.26–8.12 (m, 4H, Ar–H), 7.75–7.71 (m, 2H, Ar–H), 7.59 (d, J = 16 Hz, 1H, CH
CH), 7.41–6.89 (m, 5H, Ar–H), 6.56 (d, J = 16 Hz, 1H, CH
CH), 5.26 (s, 2H, COO–CH2), 4.75 (s, 1H, NH), 3.85 (s, 3H, OCH3), 3.71 (s, 2H, O–CH2); 13C NMR (101 MHz, DMSO-d6) δ 169.13 (2C), 164.63, 149.92, 149.15, 148.35 (2C), 145.64, 144.76 (2C), 141.86 (2C), 133.03 (2C), 130.50 (2C), 128.12, 127.34 (2C), 124.31, 122.63 (2C), 116.04, 111.21, 111.09, 67.23, 65.25, 55.83. Anal. calcd. for C28H24N6O10: C, 55.63; H, 4.00; N, 13.90; O, 26.47. Found: C, 55.49; H, 4.13; N, 14.15.
C), 1657 (C
O), 1259 (C–O–C). EI-MS (m/z, %): 574 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.64 (s, 1H, NH), 8.27 (s, 1H, CH
N), 7.99 (s, 1H, CH
N), 7.60 (d, J = 16 Hz, 1H, CH
CH), 7.41–6.87 (m, 11H, Ar–H), 6.57 (d, J = 16 Hz, 1H, CH
CH), 5.22 (s, 2H, COO–CH2), 4.72 (s, 1H, NH), 3.85 (s, 3H, OCH3), 3.80 (s, 6H, 2× OCH3), 3.72 (s, 2H, O–CH2); 13C NMR (101 MHz, DMSO-d6) δ 168.76 (2C), 167.00, 159.55 (2C), 147.75, 144.69 (2C), 144.51, 143.77 (2C), 135.38, 129.94 (2C), 127.17, 120.09, 119.63 (2C), 115.92 (2C), 115.45, 111.63 (2C), 111.35, 111.00, 65.12, 64.53, 55.20 (2C), 51.36. Anal. calcd. for: C30H30N4O8: C, 62.71; H, 5.26; N, 9.75; O, 22.28. Found: C, 62.88; H, 5.41; N, 9.94.
C), 1603 (C
O), 1257 (C–O–C). EI-MS (m/z, %): 694 (M+); 1H NMR (400 MHz, DMSO-d6): δ 11.65 (s, 1H, NH), 8.21 (s, 1H, CH
N), 7.94 (s, 1H, CH
N), 7.60 (d, J = 16 Hz, 1H, CH
CH), 7.42–6.86 (m, 7H, Ar–H), 6.57 (d, J = 16 Hz, 1H, CH
CH), 5.23 (s, 2H, COO–CH2), 4.71 (s, 1H, NH), 3.87 (s, 3H, OCH3), 3.82 (s, 12H, 4× OCH3), 3.72 (s, 6H, 2× OCH3), 3.70 (s, 2H, O–CH2); 13C NMR (101 MHz, DMSO-d6) δ 169.49 (2C), 167.72, 153.88 (4C), 149.72, 148.61, 145.38 (2C), 145.21, 144.51 (2C), 130.21 (2C), 127.85, 123.21, 116.64, 111.91, 111.70, 104.97 (4C), 65.89, 60.86 (2C), 56.67 (5C), 56.46. Anal. calcd. for C34H38N4O12: C, 58.78; H, 5.51; N, 8.07; O, 27.64. Found: C, 59.05; H, 5.67; N, 8.26.
:
100) and propidium iodide (PI)” at a concentration equals 10 µg mL−1 in the dark for 30 min. Furthermore, the stained cells were collected using a BD FACSCalibur™ Flow Cytometer.46–48
:
100, CST), anti-cleaved caspase-3 (Asp175, 1
:
100, CST), and anti-EGFR (clone 31G7, 1
:
50, Thermo Fisher) were performed according to the reported procedure,51–53 as described in the SI. The experimental protocol was supported in the supplementary, and it was approved by Suez Canal University, Egypt, Faculty of Pharmacy's Ethical Committee which granted clearance for all study procedures (202206M3).The docking parameters were established to ensure 100 exhaustiveness, 20 iterated binding modes, and a maximum free-binding energy difference of 4 kcal mol−1 between the predicted binding modes.57 The optimal projected posture was chosen based on elevated docking scores, a low root-mean-square deviation (RMSD) of less than 2.00 Å from the ligand, and/or shown interactions with critical pocket residues consistent with small molecule kinase inhibitors. PyMol v2.0 was used to display the molecular modeling results and examine compound-kinase interactions and conformations.
N) appeared as two downfield singlets in the range of δ 8.52–7.94. The spectra also showed two sharp singlets corresponding to two (CH2–O) at a range of δ 5.28–5.21 and 3.72–3.70 in addition to two doublets for two protons of (CH
CH) at range of δ 7.65–7.57 and 6.59–6.46. The 1HNMR spectra of compounds 3e–h showed sharp up-field singlet for three protons of (OCH3) of ferulic acid at range of δ 3.87–3.85, while compounds 3c and 3g showed a sharp up-field singlet for their (2× OCH3) at δ 3.80. In addition, the 1HNMR spectra of compounds 3d and 3h showed up-field singlets for their (6× OCH3) in range of δ 3.83–3.72. Finally, 13C NMR spectra of compound 3c–3h showed peaks for carbon of (OCH3) resonating at range of δ 55.15–55.97.
| Code | IC50 µM ± SD | |||
|---|---|---|---|---|
| MCF-7 breast | HepG2 liver | A549 lung | WISH normal | |
| a IC50 values were calculated using the dose–response curves in GraphPad prism. Values are expressed as mean ± SD of three independent trials. | ||||
| 2b | ND | 16.5 ± 0.3 | 34.50 ± 1.2 | 46.50 ± 1.2 |
| 2a | 14.20 ± 0.3 | 21.40 ± 0.7 | 18.70 ± 0.3 | 39.80 ± 1.5 |
| 3a | 15.90 ± 0.2 | ND | ND | 39.80 ± 1.4 |
| 3b | 9.18 ± 0.2 | 10.40 ± 0.3 | 11.60 ± 0.2 | 44.60 ± 1.6 |
| 3c | 25.10 ± 0.8 | ND | 25.40 ± 0.7 | 41.80 ± 1.7 |
| 3d | 1.16 ± 0.05 | 21.30 ± 0.8 | 33.10 ± 1.4 | ≥50 |
| 3e | 14.60 ± 0.3 | 27.60 ± 1.1 | 29.80 ± 0.8 | ≥50 |
| 3f | 1.04 ± 0.2 | 12.13 ± 0.1 | 13.30 ± 0.3 | ≥50 |
| 3g | 13.40 ± 0.3 | 9.80 ± 0.4 | 8.75 ± 0.1 | ≥50 |
| 3h | 1.10 ± 0.05 | 12.70 ± 0.4 | 11.50 ± 0.2 | ≥50 |
| Sorafenib | 3.04 ± 0.1 | 2.93 ± 0.2 | 1.26 ± 0.3 | ≥50 |
It is worth noting that the activity profiles of the synthesized compounds against breast cancer cells were much more prominent on the other investigated ones. Exploring the structure–activity relationships of the synthesized bis-hydrazone acrylate derivatives (3a–h) against the MCF-7 breast cancer cell line would provide great insights guiding future lead optimization and development (Fig. 3). Notably, the SAR analysis revealed a pronounced dependence of the compounds' activity on the position and nature of aromatic substituents at both the terminal benzylidene moieties and phenyl acrylate core. A clear observation was highlighted that varying the substituents on the benzylidene rings showed a consistent activity trend. The unsubstituted benzylidene analog 3a exhibited moderate activity profile (IC50 = 15.9 ± 0.2 µM), while as introducing relevant electron-withdrawing nitro group at the meta-position as seen with compound 3b was assigned with enhanced cytotoxic activity of an IC50 value of 9.18 ± 0.2 µM. The latter observation highlights that the electron-deficient aromatic system of the synthesized compounds would favor an efficient interaction with the biological target. Contrarily, the same meta-position was intolerant to the incorporation of an electron-donating group like the methoxy moiety at 3c where marked reduction within activity was observed (IC50 = 25.10 ± 0.8 µM). This detrimental impact of electron-donating group could possibly reduce binding affinity or sub-optimal electronic distributions. On the other hand, the 3,4,5-trimethoxybenzylidene derivative (3d) depicted the highest activity profile among these drug members, reaching an IC50 of 1.16 ± 0.05 µM that even surpassed that of the reference control, Sorafenib (IC50 of 3.04 ± 0.1 µM). The depicted dramatic enhancement can be attributed to the synergistic impacts of several methoxy moieties that can enhance aromatic π–π stacking, hydrogen bond potentiality, and even lipophilic characteristics for facilitated stronger engagement with intracellular targets.
![]() | ||
| Fig. 3 SAR analysis of the synthesized bis-hydrazone acrylate analogs regarding activity optimization. | ||
Shifting our sight towards the methoxy group substitutions upon the phenyl acrylate main skeleton, this has pinpointed relevant insights regarding the comparative activity profiles among compounds 3e–h. Notably, comparative analysis between 3a and 3e highlighted only a marginal improvement with IC50 of just 14.6 µM for the earlier compound. The latter signifies a marginal influence for the methoxy substitution on the core ring, particularly when combined with an unsubstituted benzylidene scaffold. Nonetheless, a pronounced activity enhancement was observed upon combining the core ring substitution with electron-withdrawing group like nitro, on the benzylidene ring. This was obvious with compound 3f harboring both the methoxy-substituted phenyl core and meta-nitro benzylidene unit, which demonstrated excellent potency of IC50 = 1.04 ± 0.2 µM. This compound represents the most active compound within the entire synthesized series. The later SAR observation suggests a synergistic electronic effect of both the methoxy group and strong electron-withdrawing substituent towards an enhanced molecular orientation and/or target engagement. Similar activity fashion was also depicted with methoxy-harboring benzylidene analogs, like compound 3g possessing moderate activity (IC50 = 13.40 ± 0.3 µM), while compound 3h with triple methoxy benzylidene groups showed a restored high potency (IC50 = 1.10 ± 0.05 µM) in being comparable to 3d (IC50 = 1.16 ± 0.05 µM), yet superior to Sorafenib.
| Compound | IC50 [nM] ± SD | |
|---|---|---|
| EGFR | VEGFR2 | |
| 3f | 75.4 ± 2.9 | 36.2 ± 1.1 |
| 3h | 73.4 ± 2.7 | 38.6 ± 1.3 |
| 3d | 82.3 ± 2.9 | 45.2 ± 1.4 |
| Sorafenib | 69.8 ± 1.9 | 30.1 ± 1.5 |
Following treatment with cytotoxic agents, DNA flow cytometry was used to ascertain the cell population in each cell phase. As seen in (Fig. 5B), treatment with compounds 3f and 3h considerably raised the G1-phase cell population by 79.6% and 84.3%, respectively, compared to the control group's 53.3%, although there was a decline in S and G2/M phase cells. The treatment of MCF-7 cells with compounds 3f and 3h resulted in cell death, halting their proliferation in the G1 phase.
Fig. 9d–f showed apoptotic marker caspase-3 was rarely detected in the untreated group, consistent with low baseline apoptosis in highly proliferative tumors. In contrast, 3f-treated tissues exhibited an increased proportion of caspase-3–positive cells, indicating induction of apoptosis, although the distribution remained heterogeneous. Sorafenib treatment produced the most robust caspase-3 expression, with strong nuclear/cytoplasmic positivity in a larger fraction of tumor cells, confirming activation of apoptotic pathways. Caspase-3 positivity showed the opposite trend, being lowest in untreated tumors and significantly elevated in 3f-treated samples (p < 0.05), with the highest expression observed in the Sorafenib group.
Fig. 9g–i showed in the untreated SEC group strong membranous and cytoplasmic EGFR staining across most tumor cells, consistent with active growth signaling. In the 3f-treated group, EGFR expression remained detectable but was reduced in both staining intensity and percentage of positive cells, suggesting partial inhibition of proliferative signaling. Sorafenib-treated tissues demonstrated markedly diminished EGFR immunoreactivity, with only faint residual membranous staining, reflecting effective suppression of receptor-mediated proliferation. EGFR expression paralleled BCL-2, with the strongest expression in untreated SEC, moderate levels in 3f, and the lowest in Sorafenib-treated tumors.
Treatment with the experimental compound 3f preserved some malignant characteristics, including nuclear atypia and mitotic activity. However, it showed partial structural improvement, including linear tumor cell arrangements and fibrous stromal bands. Immunohistochemically, 3f reduced BCL-2 and EGFR expression while moderately increasing cleaved caspase-3 activity. These changes suggest that 3f interferes with tumor progression by dampening cell survival pathways and triggering apoptosis, though it does not fully normalize tumor architecture.62 Similar outcomes have been reported for other natural and synthetic compounds tested in SEC, which reduced BCL-2 expression and increased caspase-3 activation but often left residual atypia, indicating partial or cytostatic effects rather than complete tumor regression.63
In contrast, Sorafenib treatment produced marked improvements both histologically and immunohistochemically. Tumors in this group exhibited better-organized architecture, reduced cellular crowding, more uniform nuclear features, and enhanced stromal organization. At the immunohistochemical expression level, Sorafenib strongly suppressed BCL-2 and EGFR expression while markedly increasing cleaved caspase-3 positivity. These results support the known mechanism of Sorafenib, which inhibits Raf/MEK/ERK and VEGFR signaling pathways, thereby exerting both anti-proliferative and antiangiogenic effects.64 The significant induction of caspase-3 observed in this study is consistent with previous work of65 demonstrating that Sorafenib promotes apoptosis by blocking pro-survival signaling and activating intrinsic apoptotic pathways.
Overall, these findings demonstrate that untreated SEC tissues maintain the classical profile of an aggressive tumor, while 3f exerts partial inhibitory effects on tumor growth and apoptosis resistance. Sorafenib, on the other hand, produced robust therapeutic responses, restoring tissue organization and shifting the balance toward apoptosis. This highlights the value of BCL-2, caspase-3, and EGFR as reliable biomarkers of therapeutic efficacy in SEC. While 3f showed a measurable activity, its effects are incomplete compared with Sorafenib, suggesting potential utility as an adjunct or in combination therapy.
Typically, both EGFR and VEGFR2 endorse the classic ATP-binding sites that are often located inside the region between the enzyme's amino and carboxy lobes of the catalytic domains (Fig. 10).67 The settlement of an ATP molecule inside the catalytic site is facilitated by a highly conserved Gly-rich loop (VEGFR-2 Gly841–Gly846; EGFR Gly719–Gly724) that aligns over the ATP pocket. Additional significant functional motifs are the activation β-loop (VEGFR-2 Asp1046–Glu1075; EGFR Asp855–Glu884), which contains the residues essential for the control of kinase activity and conformation. A shorter β-loop serves as the catalytic secondary structure (VEGFR-2 His1026–Asn1033; EGFR His835–Asn842), which supports the hydrophilic residues critical for the enzyme's transphosphorylation.68,69 The interaction with the well-known motif (DFG) in the activation loop is linked to potent kinase inhibitors, since this pattern governs the enzyme's conformational transition between active and inactive states.
Despite comparable topology and important secondary structures, the pocket size of VEGFR2 is much more elongated than that of the EGFR enzyme.39 Most of the reported VEGFR2 small molecule inhibitors generally adopt an elongated conformation for extended fitting towards the hydrophobic back cleft behind the gatekeeper residue, Thr916. On the contrary, a quite small and non-linear architecture (flatter) is the common feature of the EGFR inhibitors for fitting at the more compact and polar environment, particularly at the hinge and solvent-exposed pockets where residues such as Lys745, Asp855, and Thr790 contribute to more mixed hydrophobic-polar interactions.70 This was clearly obvious with the differential architecture of the co-crystalline inhibitors of the kinase enzymes, Sorafenib (VEGFR2) and Erlotinib (EGFR) (Fig. 10). This could partially explain why our docked compounds with their elongated architecture managed to predict a higher docking score at VEGFR2 as compared to EGFR. On the other hand, the EGFR's pocket nature at the entrance could be more tolerant towards the polar substituents, that could explain why 3f with its ionizable polar nitro groups, managed to depict higher docking energy at EGFR.
Comparative residue-wise interaction for the docked compounds at VEGFR2 highlighted quite comparable patterns with consistent interactions towards Cys919 (hinge region) and Glu885 residues. However, compound 3f predicted more extended polar network towards the sidechain of Lys838, Pro839, Glu885, and Ile1044 as well as the mainchain of Asp1046 at the DFG motif (Fig. 10). The compound 3f made the advent of polar terminal substitution, NO2, to mediate relevant polar contacts at the entrance of the VEFR2 pocket. This could further add to the preferentially higher docking scores of 3f as compared to the other congers, where fewer polar contacts were predicted. Moving towards the EGFR's binding site, the extended compounds were more occluding the enzyme's pocket rather than accommodating it. The extended structure of the compounds causes them to depict a more non-linear conformation at the EGFR's pocket. Compound 3f via its more polar substituents (NO2) managed to exhibit more extended polar contacts with EGFR's key residues including Met769 (hinge region), Ser696 (glycine-rich loop), and Glu738. Notably, all other derivatives managed to achieve a relevant contact towards the EGFR's hinge region residue, Met769, which has been reported as a crucial anchoring site for potent EGFR inhibitors.71 Collective docking findings showed successful translation of the depicted enzyme inhibition assays at the previous biology investigation section, where compounds-VEGFR2 were of higher docking and IC50 values. The latter validates the docking findings.
Notably, the above-described docking findings provided great explanation of how these compounds exhibit dual inhibitory activity toward EGFR and VEGFR2 down to the molecular level of target-compound interaction patterns at the catalytic pockets. Molecular docking simulations highlighted the following structural features to be responsible for this dual-target activity; (i) the hydrazide–hydrazone moiety provides essential polar capabilities, acting as both hydrogen bond donors and acceptors to serve as relevant Hinge-region binding moieties. Molecular docking confirms these moieties engage with critical kinase amino acids within the hinge side, including EGFR Met769 and VEGFR2 Cys919; (ii) featuring a central aromatic scaffold derived from the parent phenolic acids, allowed the compounds to mediate predicted hydrophobic contacts within the both kinases' central sub-pockets; (iii) harboring a second hydrazide–hydrazone moiety within the synthesized compounds' architecture, strategically positioned on the opposite side of the molecule, allowed them to promote polar contacts with the kinases' DFG-motif. Molecular interaction with this motif is crucial as it governs both enzymes' conformational transition (active/inactive states); (iv) docking simulation highlighted the important role of the terminal aromatic rings to satisfy the requirement for the kinases' double hydrophobic sub-pockets located on both sides of the ATP-adenine binding pocket; (v) the elongated structure of the synthesized compounds has been highlighted to be particularly well-suited for VEGFR2 pocket, which is more elongated than EGFR. This allows the compounds to fit into the hydrophobic back cleft behind the gatekeeper residue (Thr916); (vi) finally, specific substitution such as the electron-withdrawing nitro groups on the terminal rings (e.g., compound 3f), were reasoned to enhance activity. These polar groups predicted a more extended polar network contacting EGFR's Ser696 at Gly-rich loop and VEGFR2's Asp1046 at DFG motif.
The docking process was further validated by redocking the co-crystallized positive controls. The latter technique was used to ensure that the docking procedure and algorithm could predict a binding mode closely aligned in orientation and conformation with the co-crystallized or initial docking pose. The redocking of Erlotinib or Sorafenib at the ATP-binding sites of EGFR or VEGFR2, respectively, demonstrated significant superimposition between the redocked and co-crystallized/initial states, with RMSDs of 1.66 Å for EGFR and 1.04 Å for VEGFR2. Achieving low RMSDs below 2 Å is widely recognized as crucial for validating the used docking methodology in predicting binding modes and, therefore, binding energies with possible bioactivity relevance.72,73 Consequently, it has been highlighted that redocked controls have effectively reproduced their crystalline ligand–target interaction patterns via polar contacts with critical residues, including those in the hinge region, DFG-activation loop, and/or deep hydrophobic pocket. Binding energy of redocked controls were at high negative energies; −10.79 kcal mol−1 for Sorafenib at VEGFR2 and −10.52 kcal mol−1 for Erlotinib at EGFR correlated to the found and reported inhibitory patterns of these reference agents.
S = −5.14 and log
P = 1.94), the thing that would confer a moderate oral bioavailability score and minimal CNS effect (limited blood–brain-barrier permeation). Owing to its large size (M. wt. > 500 g mol−1) and excessive flexibility (>10), compound 3f is not quite aligned with drug-likeness parameters. On the other hand, compound 3f predicted a relevant safety profile since lacking any PAINS (pan-assay interference compounds) alerts, beside inactivity across various nuclear receptor signaling and stress response pathways. The compound further lacked any predictive binding affinity towards a wide-range of toxicity-related biotargets including adenosine receptor A2a (AA2AR), beta-2 adrenergic receptor (ADRB2), androgen receptor (ANDR), amine oxidase [flavin-containing] A (AOFA), corticotropin-releasing factor receptor 1 (CRFR1), D3 dopamine receptor (DRD3), estrogen receptors (ESR1/2), glucocorticoid receptor (GCR), histamine H1 receptor (HRH1), nuclear receptor subfamily 1 group I member 2 (NR1|2), kappa-type opioid receptor (OPRK), mu-type opioid receptor (OPRM), 3′,5′-cyclic-AMP phosphodiesterase 4D (PDE4D), prostaglandin G/H synthase 1 (PGH1), and progesterone receptor (PRGR). Additionally, compound 3f predicted inactivity across several microsomal CYP enzymes (CYP1A2, CYP2C19, CYP2D6, CYP3A4, and CYP2E1), yet low prediction value for potential drug–drug interaction through CYP2C9. All above data suggest its potential enrollment within future lead optimization and development stage for prospective and comprehensive pre-clinical and clinical testing.
Footnote |
| † Ranza Elrayess and Mohamed S. Nafie contributed equally to this study. |
| This journal is © The Royal Society of Chemistry 2026 |