Advances in protein kinase drug discovery through targeting gatekeeper mutations

✅ 全文

通过靶向看门突变实现蛋白激酶药物发现的进展

作者 Jing Guo; Yang Zhou; Xiaoyun Lu 期刊 Expert Opinion on Drug Discovery 发表日期 2023 ISSN 1746-0441 DOI 10.1080/17460441.2023.2265303 类型 原创研究 (Original Research)

📄 英文摘要 English Abstract

EN

INTRODUCTION: Acquired resistance caused by gatekeeper mutations has become a major challenge for approved kinase inhibitors used in the clinic. Consequently, the development of new-generation inhibitors or degraders to overcome clinical resistance has become an important research focus for the field. AREAS COVERED: This review summarizes the common gatekeeper mutations in druggable kinases and the constantly evolving inhibitors or degraders designed to overcome single or double mutations of gatekeeper residues. Furthermore, the authors provide their perspectives on the medicinal chemistry strategies for addressing clinical resistance with gatekeeper mutations. EXPERT OPINION: The authors suggest optimizing kinase inhibitors to interact effectively with gatekeeper residues, altering the binding mode or binding pocket to avoid steric clashes, improving binding affinity with the target, utilizing protein degraders, and developing combination therapy. These approaches have the potential to be effective in overcoming resistance due to gatekeeper residues.

📄 中文摘要 Chinese Abstract

中文
癌症仍然是全球性的重大健康挑战,通常采用联合疗法或多靶点药物来克服耐药机制。表皮生长因子受体(EGFR)和血管内皮生长因子受体-2(VEGFR-2)是参与肿瘤生成和血管生成的关键酪氨酸激酶;同时抑制这两种激酶是一种有前景的治疗策略。嘧啶骨架因其合成多功能性以及通过氢键与生物靶点相互作用的能力,在FDA批准的抗癌药物中广泛存在。在本研究中,研究人员设计并合成了一系列新的4,6-二芳基嘧啶类化合物(化合物9–29),作为双重EGFR/VEGFR-2抑制剂,旨在开发具有强效抗增殖活性、高效力和低细胞毒性的候选药物。

📋 英文结构化总结 English Structured Summary

全文整理

EN

Background:

Cancer remains a major global health challenge, often treated with combination therapies or multi-targeted agents to overcome resistance mechanisms. The epidermal growth factor receptor (EGFR) and vascular endothelial growth factor receptor-2 (VEGFR-2) are key tyrosine kinases involved in tumor growth and angiogenesis; their simultaneous inhibition offers a promising therapeutic strategy. Pyrimidine scaffolds are prevalent in FDA-approved anticancer drugs due to their synthetic versatility and ability to interact with biological targets via hydrogen bonding. In this study, researchers designed and synthesized a new series of 4,6-diarylpyrimidines (compounds 9–29) as dual EGFR/VEGFR-2 inhibitors, aiming to develop potent antiproliferative agents with improved efficacy and low cytotoxicity.

Methods:

The target compounds were synthesized via mixed aldol condensation of substituted acetophenones with benzaldehydes to form chalcones, followed by cyclocondensation with thiourea under basic conditions to yield pyrimidine-2(1H)-thione intermediates. These were then alkylated with various alkyl, allyl, or aralkyl halides to produce the final 2-substituted thio-4,6-diarylpyrimidines. Structures were confirmed using NMR, HRMS, and single-crystal X-ray diffraction (for compound 14). Antiproliferative activity was evaluated against four human cancer cell lines (A-549, MCF-7, Panc-1, HT-29) and a panel of 60 NCI cancer cell lines. Select compounds were further tested for EGFR and VEGFR-2 inhibitory activity, apoptosis modulation (Bax/Bcl-2), wound healing (migration), molecular docking, lipophilicity (experimental and computational), and ADME properties.

Results:

Compounds 14, 17, 19, 22, 25, and 29 showed the highest antiproliferative potency, with GI₅₀ values ranging from 22 to 33 nM—comparable or superior to Erlotinib (GI₅₀ = 33 nM). Notably, compounds **22** (R₁ = 4-OMe, R₂ = 3-OMe, R₃ = 4-OMe-benzyl) and **29** (R₁ = 4-Cl, R₂ = 3,4-di-OMe, R₃ = 4-OMe-benzyl) exhibited exceptional activity, with GI₅₀ values of **22 nM** and **24 nM**, respectively. Both acted as dual inhibitors: compound 22 inhibited EGFR (IC₅₀ = 74 nM) and VEGFR-2 (IC₅₀ = 1.15 nM), while compound 29 showed IC₅₀ values of 72 nM (EGFR) and 1.60 nM (VEGFR-2). They also induced apoptosis by upregulating Bax and downregulating Bcl-2, and significantly reduced cancer cell migration in wound closure assays.

Data Summary:

In the NCI-60 screen, several compounds (e.g., 12, 23–25, 28, 29) showed >40% inhibition in leukemia, colon, breast, and lung cancer cell lines at 10 µM. Against four cancer cell lines, most compounds had GI₅₀ values between 22–86 nM. Compounds 22 and 29 were 1.5-fold more potent than Erlotinib. In enzyme assays, VEGFR-2 inhibition ranged from 1.15 to 2.95 nM across tested compounds, with compound 22 being the most potent. Apoptosis studies showed Bax levels increased ~35–37-fold and Bcl-2 reduced to 0.90–1.15 ng/mL in A-549 cells. Wound closure was only 80% (compound 29) and 100% (compound 22) after 72 hours, indicating strong anti-migratory effects.

Conclusions:

The study successfully identified novel 4,6-diarylpyrimidine derivatives—particularly compounds **22** and **29**—as potent dual EGFR/VEGFR-2 inhibitors with significant antiproliferative, pro-apoptotic, and anti-migratory activities. These compounds outperformed Erlotinib in cytotoxicity assays and demonstrated favorable drug-like properties, including low cytotoxicity to normal cells (MCF-10A viability >87% at 50 µM). Molecular docking confirmed stable binding within EGFR and VEGFR-2 active sites, supported by key hydrogen bonds involving the S-benzyloxy moiety. The findings highlight the therapeutic potential of these hybrids as multitargeted anticancer agents.

Practical Significance:

These newly developed 4,6-diarylpyrimidines represent promising lead candidates for cancer treatment, particularly for tumors driven by EGFR and VEGFR-2 signaling pathways. Their dual inhibitory action may help overcome resistance seen with single-target therapies, while their low cytotoxicity and favorable ADME profiles support further preclinical development. This work provides a foundation for designing next-generation multitargeted kinase inhibitors with enhanced efficacy and safety.

📋 中文结构化总结 Chinese Structured Summary

中文

背景:

癌症仍然是全球性的重大健康挑战,通常采用联合疗法或多靶点药物来克服耐药机制。表皮生长因子受体(EGFR)和血管内皮生长因子受体-2(VEGFR-2)是参与肿瘤生成和血管生成的关键酪氨酸激酶;同时抑制这两种激酶是一种有前景的治疗策略。嘧啶骨架因其合成多功能性以及通过氢键与生物靶点相互作用的能力,在FDA批准的抗癌药物中广泛存在。在本研究中,研究人员设计并合成了一系列新的4,6-二芳基嘧啶类化合物(化合物9–29),作为双重EGFR/VEGFR-2抑制剂,旨在开发具有强效抗增殖活性、高效力和低细胞毒性的候选药物。

方法:

目标化合物通过取代苯乙酮与苯甲醛的混合羟醛缩合反应生成查尔酮,再与硫脲在碱性条件下进行环缩合反应,得到嘧啶-2(1H)-硫酮中间体。随后,这些中间体与各种烷基、烯丙基或芳烷基卤化物进行烷基化反应,生成最终的2-取代硫代-4,6-二芳基嘧啶类化合物。化合物结构通过核磁共振(NMR)、高分辨质谱(HRMS)以及单晶X射线衍射(化合物14)进行确证。抗增殖活性在四种人类癌细胞系(A-549、MCF-7、Panc-1、HT-29)以及美国国家癌症研究所(NCI)的60种癌细胞系面板中进行评价。部分精选化合物进一步进行了EGFR和VEGFR-2抑制活性、凋亡调控(Bax/Bcl-2)、伤口愈合(迁移)、分子对接、亲脂性(实验与计算)以及ADME性质的测试。

结果:

化合物14、17、19、22、25和29表现出最高的抗增殖活性,其GI₅₀值范围为22至33 nM,与厄洛替尼(GI₅₀ = 33 nM)相当或更优。值得注意的是,化合物**22**(R₁ = 4-OMe,R₂ = 3-OMe,R₃ = 4-OMe-苄基)和化合物**29**(R₁ = 4-Cl,R₂ = 3,4-二-OMe,R₃ = 4-OMe-苄基)表现出卓越的活性,GI₅₀值分别为**22 nM**和**24 nM**。两者均作为双重抑制剂发挥作用:化合物22抑制EGFR(IC₅₀ = 74 nM)和VEGFR-2(IC₅₀ = 1.15 nM),而化合物29对EGFR和VEGFR-2的IC₅₀值分别为72 nM和1.60 nM。它们还通过上调Bax和下调Bcl-2诱导凋亡,并在伤口闭合实验中显著抑制癌细胞迁移。

数据总结:

在NCI-60筛选中,部分化合物(如12、23–25、28、29)在10 µM浓度下对白血病、结肠癌、乳腺癌和肺癌细胞系的抑制率超过40%。在四种癌细胞系中,大多数化合物的GI₅₀值介于22–86 nM之间。化合物22和29的细胞毒性效力是厄洛替尼的1.5倍。在酶活性测试中,受试化合物的VEGFR-2抑制IC₅₀值范围为1.15至2.95 nM,其中化合物22活性最强。凋亡研究表明,在A-549细胞中,Bax水平升高约35–37倍,Bcl-2水平降至0.90–1.15 ng/mL。72小时后,伤口闭合率仅为80%(化合物29)和100%(化合物22),表明其具有显著的抗迁移作用。

结论:

本研究成功鉴定出新型4,6-二芳基嘧啶衍生物——特别是化合物**22**和**29**——作为强效的双重EGFR/VEGFR-2抑制剂,具有显著的抗增殖、促凋亡和抗迁移活性。这些化合物在细胞毒性实验中优于厄洛替尼,并展现出良好的类药特性,包括对正常细胞的低细胞毒性(MCF-10A细胞在50 µM浓度下存活率>87%)。分子对接证实这些化合物能稳定结合于EGFR和VEGFR-2的活性位点,其中S-苄氧基部分参与的关键氢键提供了结构支持。这些发现凸显了这些杂合分子作为多靶点抗癌药物的治疗潜力。

实际意义:

这些新开发的4,6-二芳基嘧啶类化合物代表了有前景的癌症治疗先导化合物,尤其适用于由EGFR和VEGFR-2信号通路驱动的肿瘤。其双重抑制作用可能有助于克服单靶点疗法中出现的耐药性,而其低细胞毒性和良好的ADME特性支持进一步的临床前开发。本研究为设计具有更高疗效和安全性的下一代多靶点激酶抑制剂奠定了基础。

📖 英文全文 English Full Text

EN

TYPE Original Research PUBLISHED 06 November 2024 DOI 10.3389/fchem.2024.1498104 OPEN ACCESS EDITED BY Adel A. Marzouk, University of Mississippi, United States REVIEWED BY

Elisa Uliassi, University of Bologna, Italy Vamshi Krishna Reddy Sammeta, National Cancer Institute at Frederick (NIH), United States *CORRESPONDENCE

Yaser A. Mostafa, yaabdelkarem@pharm.aun.edu.eg, y3abdelh@uwaterloo.ca Stefan Bräse, braese@kit.edu Bahaa G. M. Youssif, bgyoussif2@gmail.com, bahaa.youssif@pharm.aun.edu.eg RECEIVED 18 September 2024

New series of 4,6-diaryl pyrimidines: facile synthesis and antiproliferative activity as dual EGFR/VEGFR-2 inhibitors Yaser A. Mostafa 1,2*, Jalil Abdeljalil Assoud 3, Ahmed Y. Desoky 3, Samy Mohamady 4, Nesma M. Mohamed 5,6, Ola I. A. Salem 1, Zainab M. Almarhoon 7, Stefan Bräse 8* and Bahaa G. M. Youssif 1* 1

Pharmaceutical Organic Chemistry Department, Faculty of Pharmacy, Assiut University, Assiut, Egypt, Pharmaceutical Chemistry Department, Faculty of Pharmacy, Badr University in Assiut, Assiut, Egypt, 3 Department of Chemistry, University of Waterloo, Waterloo, ON, Canada, 4Faculty of Pharmacy, The British University in Egypt, Al-Sherouk, Egypt, 5Department of Pharmacognosy, Faculty of Pharmacy, Assiut University, Assiut, Egypt, 6Pharmacognosy Department, Faculty of Pharmacy, Badr University in Assiut, Assiut, Egypt, 7Department of Chemistry, College of Science, King Saud University, Riyadh, Saudi Arabia, 8Institute of Biological and Chemical Systems, Institute of Biological and Chemical SystemsFunctional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology, Karlsruhe, Germany 2

ACCEPTED 21 October 2024 PUBLISHED 06 November 2024 CITATION

Mostafa YA, Assoud JA, Desoky AY, Mohamady S, Mohamed NM, Salem OIA, Almarhoon ZM, Bräse S and Youssif BGM (2024) New series of 4,6-diaryl pyrimidines: facile synthesis and antiproliferative activity as dual EGFR/VEGFR-2 inhibitors. Front. Chem. 12:1498104. doi: 10.3389/fchem.2024.1498104 COPYRIGHT

© 2024 Mostafa, Assoud, Desoky, Mohamady, Mohamed, Salem, Almarhoon, Bräse and Youssif. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Introduction: We developed and produced a new series of 4,6-diarylpyrimidines 9–29 as antiproliferative agents targeting EGFR/VEGFR-2. Methods: The antiproliferative efficacy of the novel targets was assessed against a panel of 60 NCI cancer cell lines and four cancer cell lines in vitro. Results and Discussion: Compounds 14, 17, 19, 22, 25, and 29 demonstrated the greatest potency among the derivatives, with GI50 values between 22 and 33 nM; compounds 22 and 29 exhibited the highest potency, with GI50 values of 22 and 24 nM, respectively. We subsequently examined the most efficient derivatives as dual EGFR/VEGFR-2 inhibitors, finding that compounds 22 and 29 functioned as dual inhibitors. Moreover, 22 and 29 can act as apoptotic inducers by increasing Bax levels and decreasing levels of the anti-apoptotic protein Bcl2. At both 24- and 48-h intervals, the cell migration rates of compounds 22 and 29 were lower than those of untreated cells, according to the migration rate and wound closure percentage assessment. The wound closure rate reached 100% after 72 h of therapy with compound 22 but only 80% with compound 29. The docking study showed that compounds 22 and 29 had docking scores similar to those of Erlotinib and Sorafenib, cocrystallized ligands, for the EGFR and VEGFR-2 proteins. The experiments on lipophilicity showed that the new pyrimidines had a consistent result. This group of compounds has better biological activity in all the biological systems studied with low lipophilicity. KEYWORDS

pyrimidine, synthesis, antiproliferative, protein kinase, docking, lipophilicity Frontiers in Chemistry 01 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104 1 Introduction

synergistic effect by utilizing multiple drugs that act on distinct targets via combination drug therapy. The FDA endorsed the use of a combination of dabrafenib (a BRAF inhibitor) and trametinib (a MEK inhibitor) for treating metastatic melanoma with BRAF mutations (Wahid et al., 2018). The second strategy involves the design and generation of multitargeted therapeutics that collaboratively inhibit many carcinogenic pathways (Al-Wahaibi et al., 2024b). The approach of multitargeting therapeutics involves identifying a single agent capable of acting on two or more targets concurrently. The FDA approved cabozantinib, also known as cabometyx, as a small-molecule dualtargeting inhibitor of the tyrosine kinases c-Met (mesenchymalepithelial transition factor) and VEGFR-2 (Vascular Endothelial Growth Factor Receptor), demonstrating its ability to inhibit tumor growth, metastasis, and angiogenesis (Abou-Alfa et al., 2018). The EGFR and VEGFR-2 pathways are closely interconnected, sharing common downstream signaling pathways. In addition to impacting the growth of cancer cells, the activation of EGFR also promotes the formation of new blood vessels (angiogenesis). In certain instances, inhibiting EGFR can cause an increase in the expression of VEGFR2, which in turn speeds up the signaling for tumor growth independently of EGFR. This can result in the development of resistance to EGFR inhibitors (Liu et al., 2023; Li et al., 2022). The emergence of secondary drug resistance after initiating treatment with EGFR inhibitors poses a significant obstacle in cancer therapy and warrants the exploration of novel therapeutic options (Ward et al., 2020). Hence, the simultaneous suppression of both EGFR and VEGFR-2 holds great potential as a cancer treatment strategy due to its synergistic impact (Liu et al., 2023).

Protein tyrosine kinases are important in transmitting signals that control numerous cellular functions, such as growth, specialization, mobility, and the development of new blood vessels (angiogenesis) (Lemmon and Schlessinger, 2010; Liao, 2007). The epidermal growth factor receptor (EGFR) is a type of membrane receptor tyrosine kinase that is excessively expressed in various tumors. The signal transduction of EGFR tyrosine kinase is strongly linked to tumor progression. Therefore, inhibiting the activity of these receptors can effectively suppress tumor growth (AlWahaibi et al., 2024a; Mohassab et al., 2024; Mohamed et al., 2021; Antonello et al., 2006; Abourehab et al., 2021). Vascular endothelial growth factor receptor (VEGFR-2), another tyrosine kinase, is crucial in promoting angiogenesis (Holmes and Zachary, 2005; Modi and Kulkarni, 2019). VEGFR-2, a constituent of VEGFRs, has been demonstrated to be the primary mediator in tumor angiogenesis, a process essential for the growth of solid tumors. Inhibiting VEGFR-2 has been regarded as a successful approach to prevent angiogenesis (Peng et al., 2017; Ceci et al., 2020). Pharmaceutical developers have invested decades in developing selective therapeutics for specific targets (Zhou et al., 2019). Despite the success of numerous single-target selective medicines, the advancement of multifactorial disorders such as cancer and neurodegenerative diseases involves multiple signaling pathways (Raghavendra et al., 2018). As a result, there is growing interest in developing medicines that address multiple objectives at once. There are presently two approaches for developing multi-targeted medications. The initial strategy entails establishing an additive or

ability to cause apoptosis, as shown by the Bax/Bcl2 ratio. Concurrently, the physicochemical characteristics and molecular docking of the produced compounds with the EGFR and VEGFR-2 binding sites were investigated. This study sought to determine the mechanism of inhibitor binding.

2 Results and discussion 2.1 Chemistry FIGURE 2 Design of antiproliferative pyrimidine-based derivatives 9–29.

Scheme 1 details the synthesis of key intermediates 6-8 and target compounds 9–29. Target compounds 9–29 were synthesized using mixed aldol condensation of either 4-chloro or 4-methoxy acetophenone 1 with different benzaldehydes 2a-c to yield chalcones 3–5 (Richard et al., 2023; Jebapriya et al., 2021). These chalcones were then cyclocondensed via Michael addition with thiourea as a nitrogen source under basic conditions (Sánchez-Sancho et al., 2022), yielding pyrimidine-2(1H)-thione/2-thiol intermediates 6–8. These intermediates were subsequently alkylated with alkyl, allyl, and/or aralkyl halides to yield the target pyrimidines 9–29. According to the literature, it is important to note that the key intermediates 6-8 are mainly present in the pyrimidine-2(1H)thione (thiolactam; b-form) tautomeric form rather than the pyrimidine-2-thiols tautomeric form (a-form) (Wahid et al., 2018; Ward et al., 2020; Liu et al., 2023). This was observed in two key intermediates, compounds 6 and 7. The 1H NMR spectra of intermediates 6 and 7 in CDCl3 revealed that they were mostly found in the pyrimidine-2(1H)-thione (b-form) form. Two signals at δ = 5.19 and 5.27 ppm recognized the intermediates, corresponding to N1-H and olefinic C5-H, respectively. Due to its low solubility, we could not get a 1H NMR for the third intermediate 8 in CDCl3. However, the 1H NMR spectra of intermediate 8 in DMSO-d6 exhibited an unexpected pattern, showing that 8 is in the ureide-like 3,4-dihydropyrimidine-2(1H)-thione tautomeric form (c-form), as seen in Figure 3. This form differs from the other thiolactam form (b-form) by having new signals at δ 9 and 10 ppm corresponding to N1-H (c.f. 5.27 ppm of b-form) and N3-H atoms of the pyrimidine ring, in addition to a signal at δ = 5 ppm corresponding to the C4-H. In 1978, Heber et al. (1993) reported that these pyrimidines are primarily present in the thiol form in non-polar solvents and in the thione form in polar solvents such ethanol (EtOH), chloroform (CHCl3), and dimethyl sulfoxide (DMSO). Therefore, we repeated the 1H NMR experiment for one of these intermediates, which had previously been observed in the b-form. However, instead of CDCl3, we utilized DMSO-d6 as the solvent (Baddar et al.). We observed the same three signals for N1-H, N3-H, and C4-H, which indicated the presence of the c-tautomeric form based on their chemical shifts. Based on these findings, we decided to explore the structural features of such tautomeric forms of derivative 8. We ran a jmod 13C NMR (which places the CH2 and quaternary C’s in the positive phase and both CH and CH3 in the negative phase) experiment on the me intermediate 8. We found 7 signals of quaternary carbons (5 of aromatic quaternary C’s, one of olefinic C6, and one of thione carbon at δ = 175.4 ppm), and 5 signals of aromatic CH’s, one signal for olefinic C5-H at = 102.3 ppm, one signal for allylic C4-H at δ = 54.7 ppm, and two overlapped signals of

Pyrimidine derivatives have garnered significant attention from researchers recently due to their diverse biological activities, including anticancer properties (Al-Wahaibi et al., 2024a; Ward et al., 2020; Liu et al., 2023) and their effects on the cardiovascular system and bronchodilation (Heber et al., 1993). The core component of some FDA-approved drugs, such as Olmutinib (I), Pralsetinib (II), Nilotinib (III), and Osimertinib (IV) (Figure 1), has a pyrimidine ring (Guo et al., 2023; Al-Huseini et al., 2023). Moreover, due to their synthetic flexibility, several substituents can substitute carbon atoms 2, 4, 5, or 6, producing many derivatives. Furthermore, pyrimidines can establish hydrogen bonds with various targets, giving them distinct physicochemical properties that improve the pharmacokinetics and pharmacodynamics of drugs (Ali et al., 2019; Mallinson and Collins, 2012). 2-thiopyrimidines (2-TPs) are widely recognized pyrimidine derivatives with antiproliferative activity against leukemia, breast, and colon cell lines (Abdel-Mohsen et al., 2019; Abdel-Mohsen et al., 2019; Ali et al., 2022; Mahapatra et al., 2021). This study proposes that adding an aryl ring to the 2-TP ring at positions 4 and 6, which can form hydrogen bonds with proteins and nucleic acids, will modify the ring and result in antiproliferative properties. When substituents at positions 2, 4, or 6 are changed, the physicochemical features of 2-TPs change, such as lipophilicity, which affects their capacity to enter cell membranes and, hence, their antiproliferative effect. As far as we know, no studies have experimentally tested the lipophilicity of various reported derivatives of 2-TP. However, in this study, we presented the lipophilicity of our novel 2-TPs, which was assessed by both theoretical and experimental methods. The aim was to establish a correlation between lipophilicity and anticancer effectiveness. To enhance the antiproliferative effect of 2-TPs by inhibiting tumor angiogenesis regulators, the 2-thiol moiety was changed with either small, (un)branched alkyl groups or bulky benzylic groups. Two phenyl rings containing either methoxy or chloro groups were inserted at the 4- and 6-positions of the pyrimidine ring, as shown in Figure 2. Consequently, the current study focuses on synthesizing novel 4,6-diaryl pyrimidine derivatives for developing antiproliferative drugs (Figure 2). The novel chemicals were tested for cytotoxic activity against four human cancer cell lines. In addition, we investigated compounds with potential anticancer activities to see if they may act as dual inhibitors of EGFR and VEGFR-2 in order to get insight into their biological process. The cytotoxicity of the most potent compounds was further confirmed by determining their

OCH3 groups at δ = 55.9 ppm. Additionally, running two different 2D NMR experiments on the same intermediate (8) revealed the following characteristics: The HMQC experiment showed a cross peak of C4-H and C5-H, in addition to the disappearance of signals corresponding to pyrimidine ring N1-H and N3-H (as shown in Figure 4). On the other hand, the H-H Cosy experiment showed spin-spin coupling between pyrimidine H4 at δ = 5.06 ppm and both H5 at δ =

Frontiers in Chemistry

5.41 ppm and H3 at δ = 9.06 ppm, while pyrimidine H5 showed in addition to its coupling to H4, two long-range couplings with both H1 and H3, as shown in Figure 4. Finally, positive mode ESI mass spectrometric analysis showed two peaks for molecular ion peak (M + H) at m/z = 361 and its isomeric peak (M + H+2) at m/z = 363, which confirms all the previous findings about the presence of this intermediate in the 3,4-dihydropyrimidine-2(1H)-thione form (c-form) rather than either the thiol (a-form) or the thione (b-form) tautomeric forms.

2.3 Biology 2.3.1 In vitro NCI antiproliferative screening The National Cancer Institute’s Developmental Therapeutic Program (www.dtp.nci.nih.gov) has tested compounds 9–29 (except compounds 21 and 22) against 60 cancer cell lines from nine types (leukemia, lung, colon, CNS, melanoma, ovarian, renal, prostate, and breast cancer) at a single dose (10 μM) (El-Sherief et al., 2018). Supplementary Tables S1, S2 provide further information (see the Supplementary Material file). As indicated in Table 1, various compounds selectively suppressed the growth of various cancer cells, with percentage inhibition values more than or equal to 40. The most sensitive cells included leukemia (SR, K-562, and MOLT-4), lung (NCI-H522, RPMI-8226, and EKVX), breast (MCF-7 and T47D), colon (HCT-15 and HT-29), and ovarian (NCI/ADR-RES). Pyrimidine derivatives 12 (R1 = 4-Cl, R2 = 4-OMe, R3 = isopropyl), 23 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = Me), 24 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = Et), 25 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = n-propyl), 28 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = benzyl), and 29 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = 4-OMe-benzyl) exhibited the highest activity, indicating that derivatives with a p-chloro substituent on the A-ring and a 3,4-dimethoxy substituent on the B-ring consistently showed the greatest percentage of inhibition compared to other similar compounds. Unfortunately, none of the tested compounds were selected for the five-dose experiment. Therefore, we decided to test compounds 9–29 against a panel of four cancer cell lines.

2.2 Single crystal X-ray diffraction of S-Benzyl derivative (compound 14) To increase the significance of this study by gaining extra relevant data on the structure of this specific class of compounds, we have decided to perform an X-ray crystallography analysis. Figure 5 shows a successful single crystal X-ray image obtained using derivative 14. The graphic showed an ORTEP plot with an ellipsoid portrayal of all the atoms in its structure. The ORTEP plot shows that the pyrimidine ring, its 2 aryl substituents (rings A and B), and the S-benzyl group were found on pyrimidine C-2. Additionally, the asymmetric unit was found to be composed of three molecules of compound 14 in close contact with each other with a 2.883 Å van der Waals attractive force, as shown in the wireframe figure below (Figure 6).

2.3.2 Cell viability assay This experiment examines the impact of the newly developed compounds 9–29 on normal cell lines to assess their safety level. The vitality of the investigated compounds was assessed using the MCF- FIGURE 4

HMQC and H-H cosy of compound 8 in DMSO-d6. Frontiers in Chemistry 05 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104 FIGURE 5

The asymmetric unit of compound 14 represented as an ORTEP plot with Ellipsoids of thermal displacement at 50% probability. FIGURE 6

Wireframe representation of Orthorhombic Unit showing hybridization of heteroatoms, in addition to short contact networks between molecules of compound 14.

pancreatic - Panc-1, lung - A-549, and breast - MCF-7) using Erlotinib as a reference. The MTT test was employed for this investigation (Hisham et al., 2022; El-Sherief et al., 2019; Ramadan et al., 2020). Table 2 presents the four cancer cell lines’ median inhibitory concentration (IC50) and GI50 (average IC50) values. In general, the studied compounds 9–29 demonstrated strong antiproliferative activity against the four cancer cell lines tested, with GI50 values ranging from 22 nM to 86 nM, in comparison to the standard Erlotinib, which had a GI50 value of 33 nM. Compounds 14, 17, 19, 22, 25, and 29 exhibited the highest potency among the derivatives, with GI50 values ranging from 22 to 33 nM.

10 A cell line, a normal human mammary gland epithelial cell line. Following 4 days of incubation on MCF-10 A cells with each examined compound at a concentration of 50 μM, the vitality of the cells was assessed using the MTT test (Mahmoud et al., 2022; Mekheimer et al., 2022). The results from Table 2 indicate that none of the compounds tested exhibited cytotoxicity, and all compounds displayed cell viability of over 87% at a concentration of 50 µM.

2.3.3 Antiproliferative assay The antiproliferative activity of new compounds 9–29 was examined against four human cancer cell lines (colon - HT-29, Frontiers in Chemistry 06 frontiersin.org Mostafa et al.

10.3389/fchem.2024.1498104 TABLE 1 Compounds with the highest % inhibition in sensitive cell lines. Compound No. Cell line Cancer type % inhibition at 10 µM 12 HL-60 (TB) Leukemia 32.59 MOLT-4 29.88 K-562

30.86 SR 47.1 HCT-15 Colon cancer HT-29 29.24 MCF7 19 38.68 Breast cancer 28.79 T-47D 40.44 MDA-MB-468 35.14 K-562 Leukemia 29.5 HT 29 Colon cancer 32.48 20 HL-60 (TB) Leukemia 31.34 23 K-562 Leukemia

39.05 SR 24 34.01 HCT-116 Colon cancer 33.72 K-562 Leukemia 41.5 MOLT-4 36.97 SR 39.6 COLO 205 25 27 28 Colon cancer 35.43 HCT-15 30.71 HT29 28.29 KM12 29.81 T-47D Breast cancer 37.62 K-562 Leukemia 27.05

COLO 205 Colon cancer 31.68 T-47D Breast cancer 34.51 HL-60 (TB) Leukemia 29.25 K-562 Leukemia Melanoma 41.97 SR 30.31 UACC-62 25.96 K-562 Leukemia 30.95 MOLT-4 Leukemia Non-Small Cell Lung cancer 32.81

SR 39.44 (Continued on following page) Frontiers in Chemistry 07 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104 TABLE 1 (Continued) Compounds with the highest % inhibition in sensitive cell lines.

Compound No. Cell line Cancer type NCI-H522 29 31.82 HCT-15 Colon cancer 27.64 SK-MEL-5 Melanoma 30.09 T-47D Breast cancer 32.97 HL-60 (TB) Leukemia 38.84 K-562 Leukemia Non-Small Cell Lung cancer 54.54

MOLT-4 46.5 RPMI-8226 36.9 SR 45.8 A549/ATCC 30.07 EKVX Non-Small Cell Lung cancer Colon cancer HCT-116 29.67 30.23 HCT-15 Colon cancer CNS cancer 42.15 HT29 38.02 SF-268 32.98 UACC-62 Melanoma 38.69 NCI/ADR-RES

Ovarian cancer 32.11 SN12C Renal cancer 35.57 UO-31 Renal cancer Prostate cancer 33.09 PC-3 36.44 DU-145 Prostate cancer Breast cancer MCF7 28.55 27.37 MDA-MB231/ATCC Breast cancer 30.34 HS 578 T 37.47

T-47D 34.57 MDA-MB-468 40.21

According to the findings, the type of substitution found on the sulfur atom at position two of the di-aryl pyrimidine moiety appears critical for antiproliferative action. Compounds 16 (R1 = 4-OMe, R2 = 3-OMe, R3 = Me), 17 (R1 = 4-OMe, R2 = 3-OMe, R3 = Et), 18 (R1 = 4-OMe, R2 = 3-OMe, R3 = n-propyl), 19 (R1 = 4-OMe, R2 = 3OMe, R3 = iso-propyl), 20 (R1 = 4-OMe, R2 = 3-OMe, R3 = ally), and 21 (R1 = 4-OMe, R2 = 3-OMe, R3 = 4-benzyl), which share the same

Among the newly synthesized derivatives 9–29, Compounds 22 (R1 = 4-OMe, R2 = 3-OMe, R3 = 4-OMe-benzyl) and 29 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = 4-OMe-benzyl) have the highest potency with GI50 values of 22 and 24 nM, respectively, which is 1.5 times greater than the reference Erlotinib (GI50 = 33 nM). Compounds 22 and 29 exhibited greater potency than the reference drug Erlotinib against all four tested cancer cell lines.

Frontiers in Chemistry % inhibition at 10 µM 08 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104 TABLE 2 IC50 values of compounds 9–29 and Erlotinib against four cancer cell lines. Comp Cell viability % (MCF-10 A)

Antiproliferative activity IC50 ± SEM (nM) A-549 MCF-7 Panc-1 HT-29 Average IC50 (GI50) 9 91 60 ± 5 65 ± 6 62 ± 6 62 ± 6 62 10 90 75 ± 7 79 ± 7 76 ± 7 74 ± 7 76 11 89 52 ± 5 55 ± 5 54 ± 5 53 ± 5 54 12

89 35 ± 3 37 ± 3 36 ± 3 36 ± 3 36 13 90 64 ± 6 68 ± 6 66 ± 6 64 ± 6 66 14 90 28 ± 2 30 ± 2 29 ± 2 28 ± 2 29 15 91 79 ± 7 82 ± 7 80 ± 7 80 ± 7 80 16 92 86 ± 7 89 ± 8 85 ± 8 85 ± 8 86 17 90 28 ± 2 30 ± 3

28 ± 2 29 ± 2 29 18 87 45 ± 4 46 ± 4 44 ± 4 46 ± 4 45 19 90 29 ± 2 32 ± 3 30 ± 2 30 ± 2 30 20 90 70 ± 6 73 ± 6 70 ± 6 72 ± 4 71 21 89 83 ± 7 86 ± 8 82 ± 8 82 ± 8 83 22 89 21 ± 2 23 ± 2 22 ± 2 23 ± 2 22

23 90 48 ± 4 50 ± 4 47 ± 4 48 ± 4 48 24 91 30 ± 3 33 ± 3 30 ± 3 31 ± 3 31 25 91 32 ± 3 34 ± 3 32 ± 3 32 ± 3 33 26 90 40 ± 3 42 ± 3 40 ± 3 42 ± 3 41 27 89 56 ± 5 60 ± 6 58 ± 5 60 ± 6 59 28 92 39 ± 3 43 ± 3

40 ± 3 41 ± 3 41 29 91 23 ± 2 25 ± 2 23 ± 2 24 ± 2 24 Erlotinib ND 30 ± 3 40 ± 3 30 ± 3 30 ± 3 33 structure but differ only in the substitution at position 2 of the sulfur atom, compound 29 exhibits greater potency than compounds 25–28, Table 1. This provides further evidence supporting the significance of the 4-MeO-benzyl group for antiproliferative activity. The substitution of the di-aryl pyrimidine moiety at the 4 and/or 6-positions is crucial for activity and is another topic of focus. The GI50 values for compounds 22 (R1 = 4-OMe, R2 = 3-OMe, R3 = 4OMe-benzyl), 29 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = 4-OMe-benzyl), and 15 (R1 = 4-Cl, R2 = 4-OMe, R3 = 4-OMe-benzyl) were 22, 24, and 80 nM, respectively. These data show that the 4-position substitution has a significant effect on the antiproliferative activity of these compounds, with the highest activity shown in

molecular structure as compound 22 but have different substituent groups attached to the sulphur atom, exhibited GI50 values of 86, 29, 45, 30, 71, and 83 nM, respectively. In all cases, these compounds have lower efficacy than compound 22, suggesting that the 4-OMebenzyl group at position two is critical for the antiproliferative action. This hypothesis is supported by the results of compound 29 (R1 = 4-Cl, R2 = 3,4-di-OMe, R3 = 4-OMe-benzyl), which ranks second in terms of biological efficacy and, despite containing different groups (R1 and R2) on the two aryl rings (position 4 and 6), still has a 4-OMe-benzyl group on the sulfur atom at position 2. In addition, when comparing the GI50 values of compound 29 with compounds 25–28, which have the same

TABLE 3 IC50 values of compounds 14, 17, 19, 22, 25, and 29 against EGFR and VEGFR-2. Compound EGFR inhibition IC50 ± SEM (nM) VEGFR-2 inhibition IC50 ± SEM (nM) 14 90 ± 7 2.20 ± 0.02 17 87 ± 6 1.85 ± 0.01

19 83 ± 6 2.70 ± 0.02 22 74 ± 5 1.15 ± 0.01 25 78 ± 5 2.95 ± 0.02 29 72 ± 5 1.60 ± 0.01 Erlotinib 80 ± 5 ND Sorafenib ND 0.17 ± 0.01 TABLE 4 Inhibition studies on tumor angiogenesis regulators and wound closure %.

Compound number Bax Bcl-2 Wound closure % Conc (pg/mL) Fold change Conc (ng/mL) Fold reduction 24 h 48 h 72 h 22 294 ± 6 37 0.90 6 25 50 100 29 278 ± 5 35 1.15 5 11 34 80 Staurosporine 280 ± 5 35 1.10

5 -- -- -- Control 8 1 5 1 37 75 100 ranging from 1.15 to 2.95 nM (Table 3). In all instances, the IC50 values of the tested compounds are higher (less potent) than that of the reference Sorafenib (IC50 = 0.17 nM). Compounds 22 and 29 had the highest inhibitory action against VEGFR-2, with IC50 values of 1.15 and 1.60 nM, respectively. Additionally, these compounds were potent inhibitors of cancer cell growth, with GI50 values of 22 and 24 nM, respectively. These data demonstrated that compounds 22 and 29 exhibit efficacy as antiproliferative agents by acting as inhibitors for both EGFR and VEGFR-2.

compounds with a 4-Cl phenyl or 4-OMe phenyl groups, whereas in the 6-position, both 3-OMe phenyl or 3,4-di-OMe phenyl are tolerated for antiproliferative action, but 4-OMe phenyl is not favored. ND: Not Determined.

2.3.4 EGFR inhibitory assay The EGFR-TK assay (Al-Wahaibi et al., 2022; Alshammari et al., 2022) was used to assess the inhibitory activity of the most potent antiproliferative compounds 14, 17, 19, 22, 25, and 29, against EGFR. The results are shown in Table 3. This assay’s results are congruent with those from the antiproliferative assay. Compounds 22 (R1 = 4-OMe, R2 = 3-OMe, R3 = 4-OMe-benzyl) and 29 (R1 = 4Cl, R2 = 3,4-di-OMe, R3 = 4-OMe-benzyl) proved to be the most efficient antiproliferative hybrids and EGFR inhibitor derivatives. Their IC50 values were 74 ± 5 nM and 72 ± 5 nM, respectively, surpassing the reference medication Erlotinib (IC50 = 80 ± 5). Compounds 14, 17, 19, and 25 exhibited noteworthy inhibitory action against EGFR, with IC50 values of 90, 87, 83, and 78 nM, respectively, relatively similar to the reference compound Erlotinib. These results indicate that compounds 22 and 29 exhibit substantial inhibitory activity against EGFR and can potentially be utilized as medicines that prevent cell proliferation.

2.3.6 Targeting apoptosis modulators The balance of two proteins, Bax and Bcl2, controls apoptosis, a programmed cell death program (PCD) (Ouyang et al., 2012). The Bax protein, a member of the BCL-2 gene family that contains other apoptosis regulators, is known for triggering programmed cell death. The Bcl-2 protein, another family member, was recognized for suppressing apoptosis (Youssif et al., 2019). Compounds 22 and 29, the most potent derivatives, were further investigated against the Bax/Bcl2 ratio using Staurosporine as the reference drug (Youssif et al., 2019). Compounds 22 and 29 increased Bax levels by up to 294 and 278 pg/mL compared to staurosporine (280 pg/mL), a 37-fold and 35-fold improvement compared to untreated A-549 cancer cells, Table 4. Also, compound 22 caused a big drop in the amount of Bcl-2 protein (0.90 ng/mL), followed by compound 29 (1.10 ng/mL) in the A-549 cell line compared to staurosporine (1.10 ng/mL). The apoptosis experiment showed that compounds 22 and 29 have dual inhibitory effects on EGFR and VEGFR-2 and a strong effect on stopping cell growth through apoptosis.

2.3.5 VEGFR-2 inhibitory assay An in vitro study examined the anti-VEGFR-2 activity of compounds 14, 17, 19, 22, 25, and 29 (Marzouk et al., 2020; Mahmoud et al., 2024). The enzyme assay revealed that the six hybrids studied significantly inhibited VEGFR-2, with IC50 values

Frontiers in Chemistry 10 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104 TABLE 5 Docking simulations of best compounds within EGFR and VEGFR-2 active sites. Compound EGFR (PDB ID: 1M17) VEGFR-2 (PDB ID: 3WZE)

Binding interactions S (Kcal/mol) S (Kcal/mol) Type a.a. Residue Length (Å) Binding interactions Type a.a. Residue Length (Å) 14 -6.33 pi-H Gly772 3.65 −4.25 pi-H Cys1045 4.14 17 -5.92 H-acceptor Met769

3.91 −6.82 H-acceptor Lys868 3.30 pi-cation Lys721 4.23 pi-H Asp1046 4.36 pi-cation Lys721 4.71 H-pi His1026 4.03 pi-H Val702 4.43 pi-H Leu889 4.27 H-donor Arg817 3.42 H-donor Glu885 2.7 pi-H Lys721 4.63

H-acceptor Lys868 3.15 H-donor Arg817 3.73 H-donor Glu885 2.7 H-acceptor Lys868 3.15 −6.15 pi-H Cys1045 4.15 −10.71 H-donor Cys919 2.76 H-donor Glu885 2.7 H-acceptor Asp1046 2.83 H-pi Phe1047 3.76 19 22

29 25 Erlotinib -6.84 -6.88 -6.58 -6.19 −7.3 pi-H Val702 4.25 pi-H Gly772 4.19 H-donor Gln767 3.15 H-acceptor Met769 2.7 Sorafenib 2.3.7 Estimation of migration rate and wound closure percentage −7.94

−6.28

VEGFR-2 ( were docked into the binding site using a set of parameters of minimization via MMF94FX forcefield with gradient RMS of 0.0001 kcal/mol. The RMSDs of the best docked poses were 1.28 and 0.37 Å (for 1M17 and 3WZE; respectively) and the binding scores were -7.30 and −10.71 kcal/mol (for 1M17 and 3WZE; respectively). The ligands were then docked in the bindingþ þsite using the alpha triangle placement method (Anighoro and Bajorath, 2016). The refinement was carried out using Forcefield and wasþ þscored using the Affinity ΔG scoring system. Results of the docking revealed several interesting findings: most of the test derivatives have moderate to strong docking scores (except compound 14 gave weak docking score of 4.25 kcal/mol within VEGRF-2 protein). Notably, the methoxy-substituted derivative (compound 22) showed higher docking score over its 4-chloro-congener (compound 29), and by changing the S-substitution from being a benzyl methoxy group to an alkyl group (Compounds 17 and 19), an observable decrease in docking score matching their measured in vitro activity against EGFR and VEGFR-2 enzymes, as shown Table 5. Visual inspection of all docking poses obtained for these S-benzyloxy derivatives within VEGFR-2 proteins revealed a strong H-bonding interaction between the S-benzyloxy moiety and a crucial amino acid residue, GLU 885. This interaction brings the molecule into close contact with the Lys 868 amino acid residue, which stabilizes the molecule better within the VEGFR2 active site, as shown in Figure 7.

Cancer invasion and the ability of malignant tumor cells for direct migration and metastasis are two main patterns exhibited by tumor cells to overcome barriers of the extracellular matrix and spread into surrounding tissues (Wu et al., 2021). Wound healing assay is a simple, reproducible, and non-expensive method to study cancer cell migration in vitro (Rodriguez et al., 2005). We investigated the wound-healing activities of compounds 22 and 29 in A-549 cancer cells. Table 4 illustrates that the cell migration rates of compounds 22 and 29 were inferior to those of untreated cells at both 24- and 48 h intervals. Furthermore, the wound closure percentage achieved 100% after 72 h of treatment with a compound 22, whereas it reached only 80% with a compound 29. These results demonstrate the potential of this family of compounds to inhibit the invasive propensity of cancers, particularly malignant ones.

2.4 Docking study Docking simulations of best 6 pyrimidine derivatives 14, 17, 19, 22, 25, and 29 within the active site of both EGFR and VEGFR2 proteins. To validate the docking study, Erlotinib (for 1M17 as crystal structure of EGFR) and Sorafenib (for 3WZE as crystal structure of

Frontiers in Chemistry −6.28 11 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104 FIGURE 7

Docking of compounds 22 and 29 within the active site of VEGFR-2 (PDB ID: 3WZE) showing H-bonds (donor and acceptor) with crucial amino acid residues (Glu 885 and Lys 868). FIGURE 8

3D-overlay of compound 22 (cyan), 29 (yellow), sorafenib (purple) within VEGFR-2 active (PDB ID: 3WZE).

binding mode mediated through the S-benzyloxy moiety with Arg 817, which caused the whole molecule to move closer to Lys 721 and stabilized the whole molecule more efficiently than compound 29, as shown in Figure 9. Collectively, most of the test derivatives have comparable docking scores to co-crystallized ligands, Erlotinib and Sorafenib, against EGFR and VEGFR-2 proteins, and these scores were higher

The overlay of compounds 22 and 29 with sorafenib showed the excellent overlay of the S-Benzyloxy moiety with the ureido-group of sorafenib at the same region of the VEGRF-2 active site, which is responsible for its interaction with the Glu 885 amino acid residue, as shown in Figure 8. On the other hand, visual inspection of docking poses of compound 22 within the EGFR active site revealed a common

Frontiers in Chemistry 12 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104 FIGURE 9

Binding Interactions of compounds 22 (left panel) and 95 (right panel) within EGFR protein (PDN ID: 1M17) showing H-bonding (as a blue-dotted arrow) and H-Pi interactions (as a green-dotted line). TABLE 6 Calculated log P using the different computational software programs.

Calcd. Log P Cpd. No. Experimental lipophilicity RMo b Co 6.40 7.02 −0.074 91.32 6.6 6.80 6.24 −0.0717 87.7 5.98 6.21 6.56 6.45 −0.0713 90.64 27 5.76 6.24 6.47 5.79 −0.0669 86.52 28 7.04 7.29 7.01 5.32

−0.0637 87.18 MOE ChemDraw MolSoft 14 7.03 7.41 7.48 19 5.33 5.65 22 6.40 26 water solubility. Another important physicochemical parameter is lipophilicity or partition coefficient (iLogP); compounds having values less than −0.5 will have poor dissolution in lipids and will not be able to penetrate cell membranes. The prepared compounds were found to have iLogP values between 4.21–4.74 which indicated the probability of a good penetration through cell membranes and hence better bioavailability. Likewise, TPSA and MW affect the transportation of the molecules through the biological membranes. Generally, compounds with MW below 500 g/mol and TPSA less than 140 Ȧ2 could transfix through membranes easily, rapidly and subsequently will have less undesirable side effects. Moreover, assessment of the bioactivity score (F) of the new compounds using Swiss ADMET showed their substantial bioavailability (score above zero) and hence a higher probability of medicinal impact and biological activities in clinical trials.

with S-benzyl methoxy derivatives than those of other congeners. Additionally, derivatives with a methoxy group at meta-position showed better interaction profiles than other derivatives.

2.5 ADMET study Prediction of these ADMET properties helps in predicting the transport properties of the molecules through the membranes such as blood-brain barrier (BBB) and gastrointestinal tract (GI tract). If the compounds failed to obey two or more of these drug-like parameters, there would be a high possibility of their poor bioavailability (Martin, 2005). All test compounds were characterized by having 3 to 5 H-bond acceptor atoms, these centers helped in H-bond formation and therefore enhanced

according to ChemDraw® and MolSoft® programs, derivative 14 should be more lipophilic while the MOE® program expects values matching our findings. A comparison of results from NCI-60 antiproliferative activity, in vitro assays, apoptosis markers and experimentally measured lipophilicity revealed that S-benzylated derivatives (14, 19, and 28), which have the highest lipophilicity showed lower antiproliferative activity compared to S-alkyl (26) and S-allyl congeners (27). Also, S-allyl derivatives were nearly equipotent to S-alkyl congeners as antiproliferative agents but quite different in terms of lipophilicity. Taking all these findings about these new pyrimidines revealed a common observation, that such a class of compounds performs better biological activities within all tested biological systems when having low lipophilicity characters.

2.5.1 Theoretical lipophilicity calculations Three different software programs (MOE, ChemDraw, and MolSoft) were used to estimate the theoretical lipophilicity (log P) of 6 derivatives (14, 19, 22, 26–28) (Hassan et al., 2023). The calculated log p values of test compounds were in the range of 5.23–7.48. As shown in Table 6, the S-alkyl derivatives (19 and 26) showed the lowest p values. Moreover, changing substitution from isopropyl to allyl (derivative 27) caused a marked decrease in log p values of two software estimates (MOE and MolSoft). In contrast, the estimate increased in the ChemDraw software. Additionally, the S-benzyl derivatives (14, 22, and 28) gave very high p values with the MolSoft and ChemDraw software compared to those obtained with the MOE program. To conclude, the lipophilicity prediction software gave contradicting results despite the structural similarity among the tested compounds and thus it is not reliable to have a clear idea about the differences found in the antiproliferative activities among test compounds. So, from such a perspective, we thought the experimental determination of lipophilicity would give information and a clear idea of the relationship between lipophilicity and antiproliferative activity.

2.5.3 ADME-calculations using SwissADME website Pharmacokinetics’ prediction is commonly used as of late in drug discovery of new leads or new modifications leading to better therapeutics (Wu et al., 2020). Calculated physicochemical parameters of test molecules (14, 19, 22, and 26–28) were listed in Supplementary Table S5 (Supplementary Data Sheet 1). The Lipinski rule of five (RO5) instates that compounds with MW below 500 will penetrate easily and rapidly through biological membranes. Additionally, the presence of acceptable values for HBA, HBD, and rotatable bonds within molecules indicate a high possibility of their efficient interaction with biological targets and water solubility (Ugbe et al., 2023). Additionally, the calculated TPSA was found below 140 Å2 indicating the feasibility of these compounds to pass the blood-brain barrier (BBB). Finally, the Abbott bioavailability score (F) was found above zero for all test compounds. Collectively, the fulfillment of all or most of Lipinski’s parameters indicates the high probability of a compound in being a drug-candidate.

2.5.2 Experimental lipophilicity (log PO/W) determination using RP-TLC The RP-TLC method was used to measure the lipophilicity parameters (RMo, b, and Co) described in the experimental section. The mobile phase consisted of different proportions of water and organic modifier (MeOH). RF and RM values were obtained for each ratio of organic modifier/water system (Supplementary Table S3), and a linear regression analysis was achieved to obtain the lipophilicity chromatographic descriptors (RMo, b, and Co, see Table 6). Relative lipophilicity (RMo) describes the partitioning of the solute between pure water and nonpolar stationary phase. In contrast, the second lipophilicity parameter (Co) represents the concentration of organic modifier in the mobile phase in which the solute is equally distributed between two phases (i.e., RM = 0, and Rf = 0.5). Also, Co is known to be widely used in QSAR analysis as it embraces both the specific hydrophobic surface area of the solute and RMo. Also, correlating values of RMo with that of Co were significantly high in all proportions of the methanol/water mobile phase (r ≈ −0.9915). Finally, the slope of the regression line (b) was used as a descriptor of the specific hydrophobic surface area of the compound. In a series of structurally related compounds, b is linearly correlated with RMo, resulting in a linear relationship that is the basic feature of the chromatographic determination of lipophilicity. As seen from Table 6, slope (b) correlated efficiently with RMo when changing substituents from simple alkyl to allyl and benzyl. A significant correlation exists between RMo and slope (b) with r ≈ −0.9985 in MeOH/H2O, which suggests a similar chromatographic retention mechanism for this congeneric series of compounds. Also, correlating values of RMo with that of Co were significantly high in all proportions of the MeOH/H2O mobile phase (r ≈ −0.9915). Moreover, substituents affected tested compounds’ measured lipophilicity parameter (RMo) values. Higher RMo values were found with lipophilic derivatives containing the benzyl group (14, 22, and 28), while lower RMo values were found with derivatives containing alkyl or allyl groups (19, 26, and 27). An interesting contradiction was found with experimental lipophilicity value of 28 and its congener 14, where compound 28 was found more lipophilic than its congener 14 even though it contains two methoxy groups and

2.6 Structure activity relationship (SAR) analysis

1. For antiproliferative efficacy, the substitution type on the sulfur atom (R3) at the second position of the di-aryl pyrimidine moiety is crucial, with activity ascending in the following sequence: 4-OMe-benzyl > Ethyl > n-Propyl > Allyl > Benzyl > Methyl. The 4-OMe-benzyl group enhances action against EGFR by forming hydrogen bonds with critical amino acids Arg 817 and Lys 721. In VEGFR-2, hydrogen bonds between Glu 885 and Lys 868 enhance binding to receptor sites, hence increasing activity.

14 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104

2. The replacement of the di-aryl pyrimidine group at the 4 and/ or 6-positions is essential for activity and is another area of interest.

(ppm) = 172.7, 164.3, 163.14, 162.17, 136.9, 135.5, 129.1, 128.8, 128.5, 114.3, 106.7, 55.5, 14.4; HRMS (ESI+) calcd. For C18H16ClN2OS (M + H)+ 343.06664; found 343.06726.

The data indicate that the 4-position substitution markedly influences the antiproliferative activity of these compounds, with the most pronounced activity observed in compounds containing 4-Cl phenyl or 4-OMe phenyl groups. Conversely, at the 6position, both 3-OMe phenyl and 3,4-di-OMe phenyl are acceptable for antiproliferative efficacy, while 4-OMe phenyl is not preferred.

4.1.1.2 4-(4-Chlorophenyl)-2-(ethylthio)-6-(4methoxyphenyl)pyrimidine (10) Yield 77%; m. p. 230–231°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.1 (overlap d.d., 4H, Ar-H), 7.63 (s, 1H, pyrimidine–C5H), 7.48 (d., 2H, Ar-H, J = 9 Hz), 7.01 (d., 2H, Ar-H, J = 9 Hz), 3.89 (s, 3H, OCH3), 3.3 (q, 2H, SCH2CH3, J = 7.2 Hz), 1.51 (t, 3H, SCH2CH3, J = 7.2 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.4, 164.3, 163.1, 162.1, 136.9, 135.5, 129, 128.8, 128.5, 114.2, 106.6, 55.4, 25.5, 14.7; LRMS (ESI+) m/z (%) 359 (M + H+2, 39), 357 (M + H, 100).

3 Conclusion This study explores the synthesis of pyrimidine heterocycles 9–29. The exact structure was determined and confirmed by NMR, HRMS, and X-ray diffraction investigation. Compounds 9–29 were evaluated as dual inhibitors of EGFR and VEGFR-2 in order to develop a scaffold capable of stopping cell growth. The findings indicated that compounds 22 and 29 are potential apoptotic antiproliferative agents that inhibit EGFR and VEGFR-2. Molecular docking studies have clearly shown how compounds 22 and 29 bind to the active sites of EGFR and VEGFR-2. This comprehensive examination is essential for comprehending their mechanism of action as antiproliferative agents. Moreover, the indepth study of these hybrids’ absorption, distribution, metabolism, and excretion (ADME) features shows how useful they could be as therapeutic agents. Conversely, additional structural modifications may be necessary to effectively obtain more potent lead molecules for the development of future cancer therapeutics.

4.1.1.3 4-(4-Chlorophenyl)-6-(4-methoxyphenyl)-2(propylthio)pyrimidine (11) Yield 85%; m. p. 228–230°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.11 (overlap d.d., 4H, Ar-H), 7.67 (s, 1H, pyrimidine–C5H), 7.49 (d., 2H, Ar-H, J = 9 Hz), 7.03 (d., 2H, Ar-H, J = 9 Hz), 3.91 (s, 3H, OCH3), 3.29 (t, 2H, SCH2CH2CH3, J = 7.2 Hz), 1.9 (m., 2H, SCH2CH2CH3), 1.14 (t, 3H, SCH2CH2CH3, J = 7.2 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.5, 164.3, 163.2, 162.1, 136.9, 135.5, 129.1, 128.8, 128.5, 114.3, 106.7, 55.5, 33.1, 22.8, 13.6; LRMS (ESI+) m/z (%) 373 (M + H+2, 38), 371 (M + H, 100). 4.1.1.4 4-(4-Chlorophenyl)-2-(isopropylthio)-6-(4methoxyphenyl)pyrimidine (12) Yield 63%; m. p. 198–201°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.1 (overlap d.d., 4H, Ar-H), 7.65 (s, 1H, pyrimidine–C5H), 7.48 (d., 2H, Ar-H, J = 9 Hz), 7.02 (d., 2H, Ar-H, J = 9 Hz), 4.14 (m, 1H, SCH(CH3)2), 3.9 (s, 3H, OCH3), 1.55 (d, 6H, SCH(CH3)2, J = 6.6 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.6, 164.3, 163.1, 162.1, 136.9, 135.5, 129.1, 128.8, 128.4, 114.2, 106.5, 55.4, 35.9, 22.9; LRMS (ESI+) m/z (%) 373 (M + H+2, 38), 371 (M + H, 100).

4.1.1.5 2-(Allylthio)-4-(4-chlorophenyl)-6-(4methoxyphenyl)pyrimidine (13) Yield 52%; m. p. 245–247°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.09 (overlap d.d., 4H, Ar-H), 7.66 (s, 1H, pyrimidine–C5H), 7.47 (d., 2H, Ar-H, J = 9 Hz), 7.03 (d., 2H, Ar-H, J = 9 Hz), 6.11 (m, 1H, SCH2CH = CH2), 5.41 (d.d., 1H, J = 1.2 and 1.5 Hz, SCH2CH = CH2), 5.18 (d.d., 1H, J = 1.5 and 1.5 Hz, SCH2CH = CH2), 3.99 (overlap d.d., 2H, SCH2CH = CH2), 3.89 (s, 3H, OCH3), 1.55 (d, 6H, SCH(CH3)2, J = 6.6 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.7, 164.4, 163.2, 162.2, 137, 135.4, 134, 129.1, 128.8, 128.5, 117.5, 114.3, 106.8, 55.4, 34; LRMS (ESI+) m/z (%) 371 (M + H+2, 38), 369 (M + H, 100).

4.1.1 General procedures for the synthesis of compounds 9–29 Generally, stirring pyrimidine-2(1H)-thione/2-thiol intermediates 6–8 (1.5 mmol) with different alkyl, aralkyl, or allyl halides (1.5 mmol) in dry acetonitrile (10–15 mL) and triethyl amine (TEA) (1.7 mmol) at 70–80°C for 10–12 h yielded target 2substitutedthio-4,6-diaryl pyrimidines 9–29. Using n-hexane: EtOAc as the primary elution solvent (in varying amounts from 2% to 10% EtOAc), we purified the new compounds 9–29 using Biotage® Select ELSD, resulting in pure compounds with yields between 53% and 91%.

4.1.1.6 2-(Benzylthio)-4-(4-chlorophenyl)-6-(4methoxyphenyl)pyrimidine (14) Yield 87%; m. p. 288–290°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.09 (overlap d.d., 4H, Ar-H), 7.69 (s, 1H, pyrimidine–C5H), 7.49 (m., 4H, Ar-H), 7.31 (m., 3H, Ar-H), 7.03 (d, 2H, Ar-H, J = 9 Hz), 4.6 (s, 2H, SCH2-), 3.91 (s, 3H, OCH3); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.9, 164.4, 163.3, 162.2, 138, 137, 135.4, 129.1, 128.9, 128.5, 127.1, 114.3, 107.1, 55.5, 35.5; HRMS (ESI+) calcd. For C24H20ClN2OS (M + H)+ 419.09794; found 419.09800.

4.1.1.1 4-(4-Chlorophenyl)-6-(4-methoxyphenyl)-2(methylthio)pyrimidine (9) Yield 82%; m. p. 220–221°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.13 (overlap d.d., 4H, Ar-H), 7.69 (s, 1H, pyrimidine–C5H), 7.5 (d., 2H, Ar-H, J = 9 Hz), 7.04 (d., 2H, Ar-H, J = 9 Hz), 3.92 (s, 3H, OCH3), 2.73 (s, 3H, SCH3); 13C NMR (75 MHz, CDCl3) δ

Frontiers in Chemistry 15 frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104

4.1.1.12 2-(Allylthio)-6-(3-methoxyphenyl)-4-(4methoxyphenyl)pyrimidine (20) Yield 54%; m. p. 258–260°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.14 (d., 2H, Ar-H, J = 9 Hz), 7.71 (m, 3H, Ar-H and pyrimidine–C5-H), 7.44 (d.d., 2H, Ar-H, J = 7.8 and 8.1 Hz), 7.07 (m, 3H, Ar-H), 6.12 (m, 1H, SCH2CH = CH2), 5.41 (d.d., 1H, SCH2CH = CH2, J = 1.2 and 16.8 Hz), 5.18 (d.d., 1H, SCH2CH = CH2, J = 1.5 and 17.1 Hz), 4.01 (d., 2H, SCH2CH = CH2, J = 6.9 Hz) 3.92 (overlap singlets, 6H, 2 OCH3), 1.55 (d, 6H, SCH(CH3)2, J = 6.9 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.5, 164.3, 164.3, 162.1, 160.1, 138.5, 134.2, 129.8, 129.2, 128.8, 119.6, 117.4, 116.6, 114.2, 112.5, 107.4, 55.5, 34; HRMS (ESI+) calcd. For C21H21N2O2S (M + H)+ 365.13183; found 365.13191.

4.1.1.7 2-(4-Methoxybenzylthio)-4-(4-chlorophenyl)-6-(4methoxyphenyl)pyrimidine (15) Yield 73%; m. p. 278–280°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.12 (overlap d.d., 4H, Ar-H), 7.7 (s, 1H, pyrimidine–C5H), 7.5 (d., 2H, Ar-H, J = 8.7 Hz), 7.42 (d, 2H, Ar-H, J = 8.7 Hz), 7.04 (d, 2H, Ar-H, J = 9 Hz), 6.86 (d., 2H, Ar-H, J = 9 Hz), 4.55 (s, 2H, SCH2-), 3.92 (s, 3H, OCH3), 3.81 (s, 3H, OCH3); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.1, 164.4, 163.3, 162.2, 158.8, 137, 135.5, 130.1, 129.9, 129.1, 128.9, 128.5, 114.3, 113.9, 107, 55.5, 55.3, 35; HRMS (ESI+) calcd. For C25H21ClN2O2S (M + H)+ 449.10850; found 449.10841. 4.1.1.8 6-(3-Methoxyphenyl)-4-(4-methoxyphenyl)-2(methylthio)pyrimidine (16) Yield 72%; m. p. 213–215°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.14 (d, 2H, Ar-H, J = 9 Hz), 7.72 (m, 3H, Ar-H and pyrimidine–C5-H), 7.43 (d.d., 2H, Ar-H, J = 7.8 and 8.1 Hz), 7.06 (m, 3H, Ar-H), 3.91 (overlap singlets, 6H, 2 OCH3) 2.73 (s, 3H, SCH3); 13 C NMR (75 MHz, CDCl3) δ (ppm) = 172.5, 164.2, 164.1, 162.1, 160.1, 138.6, 129.8, 129.3, 128.8, 119.6, 116.5, 114.2, 112.6, 107.2, 55.4, 14.4; HRMS (ESI+) calcd. For C19H19N2O2S (M + H)+ 339.11618; found 339.11696.

4.1.1.13 2-(Benzylthio)-6-(3-methoxyphenyl)-4-(4methoxyphenyl)pyrimidine (21) Yield 87%; m. p. 245–247°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.13 (d., 2H, Ar-H, J = 9 Hz), 7.72 (m, 2H, Ar-H and pyrimidine–C5-H), 7.53 (d, 2H, Ar-H, J = 6.9 Hz), 7.44 (d., 1H, ArH, J = 8.1 Hz), 7.32 (m, 4H, Ar-H), 7.04 (m, 3H, Ar-H), 4.62 (s., 2H, SCH2C6H5), 3.90 (overlap singlets, 6H, 2 OCH3); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.7, 164.4, 164.3, 162.1, 160.1, 138.5, 129.8, 128.9, 128.8, 128.5, 127.1, 119.6, 116.7, 114.2, 112.5, 107.5, 55.5, 35.5; LRMS (ESI+) m/z (%) 416 (M + H+2, 30), 415 (M + H, 100).

4.1.1.9 2-(Ethylthio)-6-(3-methoxyphenyl)-4-(4methoxyphenyl)pyrimidine (17) Yield 81%; m. p. 221–222°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.13 (d.d., 2H, Ar-H, J = 2.1 and 6.9 Hz), 7.72 (m, 3H, Ar-H and pyrimidine–C5-H), 7.43 (d.d., 2H, Ar-H, J = 7.8 and 8.1 Hz), 7.05 (m, 3H, Ar-H), 3.91 (overlap singlets, 6H, 2 OCH3) 3.32 (q, 2H, SCH2CH3, J = 7.2 Hz), 1.53 (t, 3H, SCH2CH3, J = 7.2 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.2, 164.2, 164.1, 162, 160.1, 138.6, 129.8, 129.3, 128.8, 119.5, 116.5, 114.2, 112.5, 107.1, 55.4, 25.5, 14.7; HRMS (ESI+) calcd. For C20H21N2O2S (M + H)+ 353.13183; found 353.13198.

4.1.1.14 2-(4-Methoxybenzylthio)-6-(3-methoxyphenyl)-4(4-methoxyphenyl)pyrimidine (22) Yield 77%; m. p. 265–267°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.14 (d., 2H, Ar-H, J = 9 Hz), 7.72 (m, 3H, Ar-H and pyrimidine–C5-H), 7.44 (m., 3H, Ar-H), 7.04 (m, 3H, Ar-H), 6.86 (d., 2H, Ar-H, J = 8.7 Hz), 4.57 (s., 2H, SCH2C6H5), 3.91(overlap singlets, 6H, 2 OCH3), 3.81 (s, 3H, SCH2C6H4OCH3); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.9, 164.3, 164.2, 162.1, 160.1, 158.7, 138.6, 129.8, 128.9, 119.6, 116.7, 114.3, 113.9, 112.5, 107.5, 55.5, 34.9; HRMS (ESI+) calcd. For C26H25N2O3S (M + H)+ 445.15804; found 445.15721.

4.1.1.10 6-(3-Methoxyphenyl)-4-(4-methoxyphenyl)-2(propylthio)pyrimidine (18) Yield 67%; m. p. 218–220°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.13 (d., 2H, Ar-H, J = 9 Hz), 7.73 (m, 3H, Ar-H and pyrimidine–C5-H), 7.42 (d.d., 2H, Ar-H, J = 7.8 and 8.1 Hz), 7.06 (m, 3H, Ar-H), 3.91 (overlap singlets, 6H, 2 OCH3) 3.3 (t, 2H, SCH2CH2CH3, J = 7.2 Hz), 1.91 (m., 2H, SCH2CH2CH3), 1.53 (t, 3H, SCH2CH2CH3, J = 7.5 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.3, 164.2, 164.1, 162, 160.1, 138.6, 129.8, 129.3, 128.8, 119.5, 116.6, 114.2, 112.4, 107.1, 55.4, 33.1, 22.9, 13.7; HRMS (ESI+) calcd. For C21H23N2O2S (M + H)+ 367.14748; found 367.14773.

4.1.1.15 4-(4-Chlorophenyl)-6-(3,4-dimethoxyphenyl)-2(methylthio)pyrimidine (23) Yield 91%; m. p. 228–229°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.13 (d.d., 2H, Ar-H, J = 1.8 and 8.7 Hz), 7.8 (d., 1H, Ar-H, J = 1.8 Hz), 7.75 (d.d., 1H, Ar-H, J = 2.1 and 8.4 Hz), 7.69 (s, 1H, pyrimidine–C5-H), 7.52 (d.d., 2H, Ar-H, J = 1.8 and 8.7 Hz), 7.01 (d., 1H, Ar-H, J = 8.4 Hz), 4.01(2 overlap singlets, 6H, 2 OCH3), 2.73 (s, 3H, SCH3); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.9, 164.3, 163.1, 151.8, 149.3, 137, 135.5, 129.4, 129.1, 128.5, 120.4, 110.9, 110.1, 106.9, 56.1, 14.4; HRMS (ESI+) calcd. For C19H18N2O2SCl (M + H)+ 373.07720; found 373.07750.

4.1.1.11 2-(Isopropylthio)-6-(3-methoxyphenyl)-4-(4methoxyphenyl)pyrimidine (19) Yield 65%; m. p. 235–237°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.14 (d., 2H, Ar-H, J = 9 Hz), 7.73 (m, 3H, Ar-H and pyrimidine–C5-H), 7.43 (d.d., 2H, Ar-H, J = 7.8 and 8.1 Hz), 7.02 (m, 3H, Ar-H), 4.18 (m., 1H, SCH(CH3)2), 3.91 (overlap singlets, 6H, 2 OCH3), 1.55 (d, 6H, SCH(CH3)2, J = 6.9 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.4, 164.2, 162, 160.1, 138.6, 129.8, 129.3, 128.8, 119.5, 116.6, 114.2, 112.5, 107, 55.4, 35.9, 23; HRMS (ESI+) calcd. For C21H23N2O2S (M + H)+ 367.14748; found 367.14763.

4.1.1.16 4-(4-Chlorophenyl)-2-(ethylthio)-6-(3,4dimethoxyphenyl)pyrimidine (24) Yield 87%; m. p. 229–231°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.1 (d.d., 2H, Ar-H, J = 2.1 and 8.7 Hz), 7.81 (d., 1H, Ar-H, J = 2.1 Hz), 7.72 (d.d., 1H, Ar-H, J = 2.1 and 8.7 Hz), 7.68 (s, 1H, pyrimidine–C5-H), 7.5 (d.d., 2H, Ar-H, J = 2.1 and 8.7 Hz), 6.99 (d., 1H, Ar-H, J = 8.4 Hz), 4.02(2 overlap singlets, 6H, 2 OCH3), 3.32 (apparent d., 2H, SCH2CH3, J = 7.2 Hz), 1.54 (apparent q., 3H, 16

frontiersin.org Mostafa et al. 10.3389/fchem.2024.1498104

SCH2CH3, J = 7.2 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.4, 164.4, 163.2, 151.7, 149.3, 137, 135.5, 129.5, 129.1, 128.5, 120.4, 110.9, 110, 106.9, 56, 25.5, 14.7; HRMS (ESI+) calcd. For C20H20N2O2SCl (M + H)+ 387.09285; found 387.09215.

4.1.1.21 2-(4-Methoxybenzylthio)-4-(4-chlorophenyl)-6(3,4-dimethoxyphenyl)pyrimidine (29) Yield 88%; m. p. 279–281°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.1 (d., 2H, Ar-H, J = 8.7 Hz), 7.78 (d., 1H, Ar-H, J = 2.1 Hz), 7.73 (d., 1H, Ar-H, J = 2.1 Hz), 7.7 (s, 1H, pyrimidine–C5H), 7.5 (d.d., 2H, Ar-H, J = 2.1 and 6.9 Hz), 7.43 (d.d., 2H, Ar-H, J = 2.1 and 6.9 Hz), 7 (d., 1H, Ar-H, J = 8.4 Hz), 6.86 (d., 2H, Ar-H, J = 9.0 Hz), 4.56 (s., 2H, SCH2C6H4-), 3.99 (2 overlap singlets, 6H, 2 OCH3), 3.81 (s., 3H, SCH2C6H4OCH3); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.1, 164.5, 163.3, 158.8, 151.8, 149.4, 137.1, 135.4, 129.9, 129.8, 129.4, 129.1, 128.5, 120.4, 113.9, 110.9, 110.1, 107.2, 56.1, 55.3, 35; HRMS (ESI+) calcd. For C26H24N2O3SCl (M + H)+ 479.11907; found 479.12000.

4.1.1.17 4-(4-Chlorophenyl)-6-(3,4-dimethoxyphenyl)-2(propylthio)pyrimidine (25) Yield 79%; m. p. 217–219°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.09 (d., 2H, Ar-H, J = 9 Hz), 7.8 (d., 1H, Ar-H, J = 2.1 Hz), 7.7 (d.d., 1H, Ar-H, J = 2.1 and 8.4 Hz), 7.68 (s, 1H, pyrimidine–C5-H), 7.49 (d.d., 2H, Ar-H, J = 2.1 and 8.9 Hz), 6.98 (d., 1H, Ar-H, J = 8.4 Hz), 3.99(2 overlap singlets, 6H, 2 OCH3), 3.28 (apparent q., 2H, SCH2CH2CH3, J = 7.2 Hz), 1.91 (m., 2H, SCH2CH2CH3), 1.35 (t., 3H, SCH2CH2CH3, J = 7.2 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.5, 164.3, 163.2, 151.7, 149.3, 137, 135.5, 129.4, 129.1, 128.5, 120.4, 110.9, 110, 106.9, 56, 33.1, 22.9, 13.7; HRMS (ESI+) calcd. For C21H22N2O2SCl (M + H)+ 401.10850; found 401.10746.

4.1.2 X-ray single crystal diffraction of compound 14 The experiment was performed on colorless needles of compound (14) at 200 K on a Bruker Kappa APEX II diffractometer and the data was corrected for absorption using intensity measurements (SADABS). Crystal data: C24 H19 Cl N2 O S, MW = 478.99, Orthorhombic; a = 6.193 (2) Å, b = 14.250 (5) Å, c = 23.313 (6) Å; a = 90°, β = 90°, y = 90o; V = 2057.38 A3; space group P212121, Z: 4 and Z’: 0; Dc = 1.352 g cm-3. The structure was solved by direct methods and refined using the Flack parameter measurement (Watkin and Cooper, 2016). Geometric data of compound 14 were listed in Supplementary Tables S7–S12.

4.1.1.18 4-(4-Chlorophenyl)-2-(isopropylthio)-6-(3,4dimethoxyphenyl)pyrimidine (26) Yield 81%; m. p. 233–253°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.09 (d., 2H, Ar-H, J = 9 Hz), 7.8 (d., 1H, Ar-H, J = 2.1 Hz), 7.7 (d.d., 1H, Ar-H, J = 2.1 and 8.4 Hz), 7.68 (s, 1H, pyrimidine–C5H), 7.49 (d.d., 2H, Ar-H, J = 2.1 and 8.9 Hz), 6.98 (d., 1H, Ar-H, J = 8.4 Hz), 4.13 (m., 1H, SCH(CH3)2), 4.01 (2 overlap singlets, 6H, 2 OCH3), 1.55 (d., 6H, SCH(CH3)2, J = 6.9 Hz); 13C NMR (75 MHz, CDCl3) δ (ppm) = 172.6, 164.3, 163.2, 151.7, 149.3, 136.9, 135.5, 129.5, 129.1, 128.5, 120.3, 110.9, 110, 106.7, 56, 36, 22.9; HRMS (ESI+) calcd. For C21H22N2O2SCl (M + H)+ 401.10850; found 401.10739.

4.2 Biology 4.2.1 in vitro NCI antiproliferative screening The National Cancer Institute’s Developmental Therapeutic Program (www.dtp.nci.nih.gov) evaluated compounds 9–29 (excluding 21 and 22) against 60 cancer cell lines from nine categories (leukemia, lung, colon, CNS, melanoma, ovarian, renal, prostate, and breast cancer) at a single dose (10 μM) (El-Sherief et al., 2018). See Supplementary Material A1 for more details.

4.1.1.19 2-(Allylthio)-4-(4-chlorophenyl)-6-(3,4dimethoxyphenyl)pyrimidine (27) Yield 57%; m. p. 244–246°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.08 (d., 2H, Ar-H, J = 8.7 Hz), 7.87 (d., 1H, Ar-H, J = 1.8 Hz), 7.7 (d.d., 1H, Ar-H, J = 1.8 and 8.7 Hz), 7.68 (s, 1H, pyrimidine–C5-H), 7.49 (d., 2H, Ar-H, J = 8.9 Hz), 6.98 (d., 1H, ArH, J = 8.7 Hz), 6.13 (m., 1H, SCH2CH = CH2), 5.4 (d.d., 1H, SCH2CH = CH2, J = 1.5 and 16.8 Hz), 5.17 (d.d., 1H, SCH2CH = CH2, J = 1.5 and 9.9 Hz), 4.01 (2 overlap singlets, 6H, 2 OCH3), 3.82 (m, 2H, SCH2CH = CH2); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.7, 164.4, 163.3, 151.8, 149.3, 137.1, 135.4, 134, 129.5, 129.4, 129.3, 129.1, 128.9, 128.5, 120.4, 118.8, 117.5, 110.9, 110, 107.1, 56.1, 33.9; HRMS (ESI+) calcd. For C21H20N2O2SCl (M + H)+ 399.09285; found 399.09199.

4.2.2 Cell viability assay This experiment examines the impact of the newly developed compounds 9–29 on normal cell lines to assess their safety level. The viability of 9–29 was assessed using the MCF-10 A cell line, a normal human mammary gland epithelial cell line. Following 4 days of incubation on MCF-10 A cells with each examined compound at a concentration of 50 μM, the vitality of the cells was assessed using the MTT test (Mahmoud et al., 2022; Mekheimer et al., 2022). Refer to Supplementary Material A1 for more details.

4.1.1.20 2-(Benzylthio)-4-(4-chlorophenyl)-6-(3,4dimethoxyphenyl)pyrimidine (28) Yield 87%; m. p. 239–241°C; 1H NMR (300 MHz, CDCl3) δ (ppm) = 8.09 (d., 2H, Ar-H, J = 8.7 Hz), 7.7 (m, 3H, Ar-H and pyrimidine–C5-H), 7.51 (m., 4H, Ar-H), 7.31 (m., 3H, Ar-H), 6.99 (d., 1H, Ar-H, J = 8.4 Hz), 4.61 (s., 2H, SCH2C6H5), 3.99 (2 overlap singlets, 6H, 2 OCH3); 13C NMR (75 MHz, CDCl3) δ (ppm) = 171.9, 164.5, 163.3, 151.8, 149.3, 138, 137.1, 135.4, 129.4, 129.1, 128.8, 128.5, 127.1, 120.4, 110.9, 110, 107.2, 56.1, 35.5; HRMS (ESI+) calcd. For C25H22N2O2SCl (M + H)+ 449.10850; found 449.10846.

4.2.3 Antiproliferative assay The antiproliferative activity of 9–29 was examined against four human cancer cell lines (colon - HT-29, pancreatic - Panc-1, lung A-549, and breast - MCF-7) using Erlotinib as a reference. The MTT test was employed for this investigation (Hisham et al., 2022; ElSherief et al., 2019; Ramadan et al., 2020). The IC50 values were derived from dose-response tests. The reported data are derived from at least two independent studies, each comprising three replicates per concentration. See Supplementary Material A1 for more details.

Writing–original draft. SM: Data curation, Validation, Writing–original draft. NM: Methodology, Software, Writing–original draft. OS: Data curation, Software, Visualization, Writing–original draft. ZA: Data curation, Formal Analysis, Funding acquisition, Methodology, Software, Writing–original draft. SB: Supervision, Visualization, Writing–original draft, Writing–review and editing. BY: Conceptualization, Investigation, Methodology, Supervision, Validation, Visualization, Writing–original draft, Writing–review and editing.

The EGFR-TK assay (Al-Wahaibi et al., 2022; Alshammari et al., 2022) was used to assess the inhibitory activity of the most potent antiproliferative compounds 14, 17, 19, 22, 25, and 29, against EGFR. Erlotinib was used as the reference compound. Refer to

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**类型** 原创研究 **发表日期** 2024年11月6日 **DOI** 10.3389/fchem.2024.1498104 **开放获取** **编辑** Adel A. Marzouk,美国密西西比大学 **审稿人**

Elisa Uliassi,意大利博洛尼亚大学 Vamshi Krishna Reddy Sammeta,美国国家癌症研究所弗雷德里克分院(NIH) *通讯作者*

Yaser A. Mostafa, yaabdelkarem@pharm.aun.edu.eg, y3abdelh@uwaterloo.ca Stefan Bräse, braese@kit.edu Bahaa G. M. Youssif, bgyoussif2@gmail.com, bahaa.youssif@pharm.aun.edu.eg **收稿日期** 2024年9月18日

**新型4,6-二芳基嘧啶系列:简便合成及作为双重EGFR/VEGFR-2抑制剂的抗增殖活性**

Yaser A. Mostafa 1,2*,Jalil Abdeljalil Assoud 3,Ahmed Y. Desoky 3,Samy Mohamady 4,Nesma M. Mohamed 5,6,Ola I. A. Salem 1,Zainab M. Almarhoon 7,Stefan Bräse 8*,Bahaa G. M. Youssif 1*

1 埃及阿萨尤特大学药学院药物有机化学系,埃及阿萨尤特 2 埃及阿萨尤特巴德尔大学药学院药物化学系,埃及阿萨尤特 3 加拿大滑铁卢大学化学系,安大略省滑铁卢 4 埃及英国大学药学院,埃及阿勒-谢鲁克 5 埃及阿萨尤特大学药学院生药学系,埃及阿萨尤特 6 埃及阿萨尤特巴德尔大学药学院生药学系,埃及阿萨尤特 7 沙特阿拉伯利雅得沙特国王大学理学院化学系 8 德国卡尔斯鲁厄理工学院生物与化学系统研究所-功能分子系统研究所(IBCS-FMS),德国卡尔斯鲁厄

**录用日期** 2024年10月21日 **发表日期** 2024年11月6日

**引用格式**

Mostafa YA, Assoud JA, Desoky AY, Mohamady S, Mohamed NM, Salem OIA, Almarhoon ZM, Bräse S and Youssif BGM (2024) New series of 4,6-diaryl pyrimidines: facile synthesis and antiproliferative activity as dual EGFR/VEGFR-2 inhibitors. Front. Chem. 12:1498104. doi: 10.3389/fchem.2024.1498104

**版权声明**

© 2024 Mostafa, Assoud, Desoky, Mohamady, Mohamed, Salem, Almarhoon, Bräse and Youssif. 本文为根据知识共享署名许可协议(CC BY)条款分发的开放获取文章。在其他论坛使用、分发或复制时,须注明原作者和版权所有者,并注明在本期刊的原始发表,且须符合公认的学术规范。任何不符合上述条款的使用、分发或复制均不被允许。

**引言:** 我们开发并合成了一系列新型4,6-二芳基嘧啶类化合物9–29,作为靶向EGFR/VEGFR-2的抗增殖剂。

**方法:** 针对60种NCI癌细胞系和4种癌细胞系,在体外评估了这些新型靶标化合物的抗增殖效力。

**结果与讨论:** 化合物14、17、19、22、25和29在衍生物中表现出最强的效力,GI50值在22至33 nM之间;其中化合物22和29的效力最高,GI50值分别为22 nM和24 nM。随后,我们检测了最有效的衍生物作为双重EGFR/VEGFR-2抑制剂的活性,发现化合物22和29具有双重抑制作用。此外,22和29可通过上调Bax水平并下调抗凋亡蛋白Bcl2的水平来诱导细胞凋亡。根据迁移率和伤口愈合百分比评估,在24小时和48小时时间点,化合物22和29的细胞迁移率均低于未处理细胞。经化合物22处理72小时后,伤口愈合率达到100%,而化合物29仅为80%。分子对接研究表明,化合物22和29与EGFR和VEGFR-2蛋白的共晶配体厄洛替尼和索拉非尼具有相似的对接评分。亲脂性实验表明,新型嘧啶类化合物具有一致的亲脂性结果。该系列化合物在所研究的所有生物体系中均表现出较好的生物活性,且亲脂性较低。

**关键词**

嘧啶,合成,抗增殖,蛋白激酶,对接,亲脂性

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**引言**

通过联合药物疗法利用作用于不同靶点的多种药物来产生协同效应。FDA已批准联合使用达拉非尼(一种BRAF抑制剂)和曲美替尼(一种MEK抑制剂)来治疗具有BRAF突变的转移性黑色素瘤(Wahid et al., 2018)。

第二种策略涉及设计和开发能够协同抑制多种致癌通路的多靶点治疗药物(Al-Wahaibi et al., 2024b)。多靶点治疗药物的方法旨在鉴定能够同时作用于两个或更多靶点的单一药物。FDA已批准卡博替尼(商品名Cabometyx)作为酪氨酸激酶c-Met(间皮-上皮转化因子)和VEGFR-2(血管内皮生长因子受体)的小分子双靶点抑制剂,证明其能够抑制肿瘤生长、转移和血管生成(Abou-Alfa et al., 2018)。EGFR和VEGFR-2通路密切相关,共享共同的下游信号通路。除了影响癌细胞生长外,EGFR的激活还促进新血管形成(血管生成)。在某些情况下,抑制EGFR可导致VEGFR-2表达上调,从而加速不依赖于EGFR的肿瘤生长信号传导。这可能导致对EGFR抑制剂产生耐药性(Liu et al., 2023; Li et al., 2022)。

开始使用EGFR抑制剂治疗后出现继发性耐药性是癌症治疗中的重大障碍,需要探索新的治疗选择(Ward et al., 2020)。因此,同时抑制EGFR和VEGFR-2因其协同效应而具有巨大的癌症治疗潜力(Liu et al., 2023)。

蛋白酪氨酸激酶在传递控制多种细胞功能(如生长、分化、运动和新血管形成(血管生成))的信号中发挥重要作用(Lemmon and Schlessinger, 2010; Liao, 2007)。表皮生长因子受体(EGFR)是一种膜受体酪氨酸激酶,在多种肿瘤中过度表达。EGFR酪氨酸激酶的信号转导与肿瘤进展密切相关。因此,抑制这些受体的活性可有效抑制肿瘤生长(Al-Wahaibi et al., 2024a; Mohassab et al., 2024; Mohamed et al., 2021; Antonello et al., 2006; Abourehab et al., 2021)。血管内皮生长因子受体(VEGFR-2)是另一种酪氨酸激酶,在促进血管生成中起关键作用(Holmes and Zachary, 2005; Modi and Kulkarni, 2019)。VEGFR-2是VEGFR家族的组成部分,已被证明是肿瘤血管生成的主要介质,而肿瘤血管生成是实体瘤生长所必需的过程。抑制VEGFR-2被认为是预防血管生成的成功策略(Peng et al., 2017; Ceci et al., 2020)。

药物开发者数十年来一直致力于开发针对特定靶点的选择性治疗药物(Zhou et al., 2019)。尽管许多单靶点选择性药物取得了成功,但癌症和神经退行性疾病等多因素疾病的发展涉及多种信号通路(Raghavendra et al., 2018)。因此,开发同时针对多个靶点的药物日益受到关注。

目前开发多靶点药物有两种策略。第一种策略涉及建立加性或协同效应,通过联合药物疗法利用作用于不同靶点的多种药物。FDA已批准联合使用达拉非尼(一种BRAF抑制剂)和曲美替尼(一种MEK抑制剂)来治疗具有BRAF突变的转移性黑色素瘤(Wahid et al., 2018)。

第二种策略涉及设计和开发能够协同抑制多种致癌通路的多靶点治疗药物(Al-Wahaibi et al., 2024b)。多靶点治疗药物的方法旨在鉴定能够同时作用于两个或更多靶点的单一药物。FDA已批准卡博替尼(商品名Cabometyx)作为酪氨酸激酶c-Met(间皮-上皮转化因子)和VEGFR-2(血管内皮生长因子受体)的小分子双靶点抑制剂,证明其能够抑制肿瘤生长、转移和血管生成(Abou-Alfa et al., 2018)。EGFR和VEGFR-2通路密切相关,共享共同的下游信号通路。除了影响癌细胞生长外,EGFR的激活还促进新血管形成(血管生成)。在某些情况下,抑制EGFR可导致VEGFR-2表达上调,从而加速不依赖于EGFR的肿瘤生长信号传导。这可能导致对EGFR抑制剂产生耐药性(Liu et al., 2023; Li et al., 2022)。

开始使用EGFR抑制剂治疗后出现继发性耐药性是癌症治疗中的重大障碍,需要探索新的治疗选择(Ward et al., 2020)。因此,同时抑制EGFR和VEGFR-2因其协同效应而具有巨大的癌症治疗潜力(Liu et al., 2023)。

蛋白酪氨酸激酶在传递控制多种细胞功能(如生长、分化、运动和新血管形成(血管生成))的信号中发挥重要作用(Lemmon and Schlessinger, 2010; Liao, 2007)。表皮生长因子受体(EGFR)是一种膜受体酪氨酸激酶,在多种肿瘤中过度表达。EGFR酪氨酸激酶的信号转导与肿瘤进展密切相关。因此,抑制这些受体的活性可有效抑制肿瘤生长(Al-Wahaibi et al., 2024a; Mohassab et al., 2024; Mohamed et al., 2021; Antonello et al., 2021; Abourehab et al., 2021)。血管内皮生长因子受体(VEGFR-2)是另一种酪氨酸激酶,在促进血管生成中起关键作用(Holmes and Zachary, 2005; Modi and Kulkarni, 2019)。VEGFR-2是VEGFR家族的组成部分,已被证明是肿瘤血管生成的主要介质,而肿瘤血管生成是实体瘤生长所必需的过程。抑制VEGFR-2被认为是预防血管生成的成功策略(Peng et al., 2017; Ceci et al., 2020)。

药物开发者数十年来一直致力于开发针对特定靶点的选择性治疗药物(Zhou et al., 2019)。尽管许多单靶点选择性药物取得了成功,但癌症和神经退行性疾病等多因素疾病的发展涉及多种信号通路(Raghavendra et al., 2018)。因此,开发同时针对多个靶点的药物日益受到关注。

目前开发多靶点药物有两种策略。第一种策略涉及建立加性或协同效应,通过联合药物疗法利用作用于不同靶点的多种药物。

通过Bax/Bcl2比值证实其诱导细胞凋亡的能力。同时,研究了所合成化合物的理化性质及其与EGFR和VEGFR-2结合位点的分子对接。本研究旨在确定抑制剂结合的机制。

**2 结果与讨论**

**2.1 化学**

方案1详细描述了关键中间体6–8和目标化合物9–29的合成过程。目标化合物9–29的合成方法为:将4-氯或4-甲氧基苯乙酮1与不同的苯甲醛2a–c进行混合羟醛缩合反应,得到查尔酮3–5(Richard et al., 2023; Jebapriya et al., 2021)。随后,这些查尔酮在碱性条件下与脲素作为氮源通过Michael加成进行环缩合反应(Sánchez-Sancho et al., 2022),生成嘧啶-2(1H)-硫酮/2-硫醇中间体6–8。这些中间体随后与烷基、烯丙基和/或芳烷基卤化物进行烷基化反应,得到目标嘧啶类化合物9–29。

根据文献报道,值得注意的是,关键中间体6–8主要以嘧啶-2(1H)-硫酮(硫代内酰胺;b-形式)互变异构体形式存在,而非嘧啶-2-硫醇互变异构体形式(a-形式)(Wahid et al., 2018; Ward et al., 2020; Liu et al., 2023)。在两种关键中间体化合物6和7中观察到了这一现象。中间体6和7在CDCl3中的¹H NMR谱显示,它们主要以嘧啶-2(1H)-硫酮(b-形式)形式存在。在δ = 5.19和5.27 ppm处的两个信号对应于中间体,分别归属于N1-H和烯属C5-H。由于溶解度较低,我们无法获得第三种中间体8在CDCl3中的¹H NMR谱。然而,中间体8在DMSO-d6中的¹H NMR谱显示出意外的模式,表明8以脲样3,4-二氢嘧啶-2(1H)-硫酮互变异构体形式(c-形式)存在,如图3所示。

该形式与另一种硫代内酰胺形式(b-形式)的区别在于,在δ 9和10 ppm处出现了对应于嘧啶环N1-H(对比b-形式的5.27 ppm)和N3-H原子的新信号,此外在δ = 5 ppm处还有一个对应于C4-H的信号。1978年,Heber等人(1993)报道,这些嘧啶类化合物在非极性溶剂中主要以硫醇形式存在,而在极性溶剂如乙醇(EtOH)、氯仿(CHCl3)和二甲基亚砜(DMSO)中以硫酮形式存在。因此,我们重复了其中一种中间体的¹H NMR实验,该中间体先前以b-形式被观察到。但此次我们使用DMSO-d6代替CDCl3作为溶剂(Baddar et al.)。我们观察到N1-H、N3-H和C4-H的三个相同信号,根据它们的化学位移,表明存在c-互变异构体形式。基于这些发现,我们决定探索衍生物8的此类互变异构体的结构特征。我们对中间体8进行了jmod ¹³C NMR实验(该实验将CH₂和季碳置于正相位,将CH和CH₃置于负相位)。我们发现了7个季碳信号(5个芳香族季碳、1个烯属C6和1个硫酮碳,δ = 175.4 ppm),以及5个芳香族CH信号、1个烯属C5-H信号(δ = 102.3 ppm)、1个烯丙基C4-H信号(δ = 54.7 ppm)和2个重叠的OCH₃基团信号(δ = 55.9 ppm)。此外,对同一中间体(8)进行两种不同的二维NMR实验揭示了以下特征:HMQC实验显示C4-H和C5-H的相关峰,同时嘧啶环N1-H和N3-H的对应信号消失(如图4所示)。

另一方面,H-H Cosy实验显示嘧啶H4(δ = 5.06 ppm)与H5(δ = 5.41 ppm)和H3(δ = 9.06 ppm)之间的自旋-自旋耦合,而嘧啶H5除了与H4的耦合外,还与H1和H3存在两个长程耦合,如图4所示。最后,正离子模式ESI质谱分析显示分子离子峰(M + H)在m/z = 361处有一个峰,其异构峰(M + H+2)在m/z = 363处有一个峰,这证实了先前关于该中间体以3,4-二氢嘧啶-2(1H)-硫酮形式(c-形式)存在而非硫醇(a-形式)或硫酮(b-形式)互变异构体形式的所有发现。

**2.3 生物学**

**2.3.1 体外NCI抗增殖筛选**

美国国家癌症研究所发展计划(www.dtp.nci.nih.gov)已在单剂量(10 μM)下对化合物9–29(化合物21和22除外)进行了针对九种类型(白血病、肺癌、结肠癌、中枢神经系统癌、黑色素瘤、卵巢癌、肾癌、前列腺癌和乳腺癌)的60种癌细胞系的测试(El-Sherief et al., 2018)。补充表S1和S2提供了更多信息(参见