Home Life Sciences The apatinib and pemetrexed combination has antitumor and antiangiogenic effects against NSCLC
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The apatinib and pemetrexed combination has antitumor and antiangiogenic effects against NSCLC

  • Ling Zhou , Wenchao Zhang , Yi Xiang , Zijun Qian , Jianping Zhou , Lei Ni , Yun Feng and Beili Gao EMAIL logo
Published/Copyright: March 7, 2023

Abstract

Chemotherapy for advanced non-small-cell lung cancer (NSCLC) remains the first treatment choice. Angiogenesis inhibitors are effective for lung cancer treatment. This study explored whether chemotherapy combined with angiogenesis inhibitors could achieve better efficacy in NSCLC. The zebrafish A549 xenograft model was used to investigate the combined effect of apatinib and chemotherapeutic agents in NSCLC. Apatinib combined with pemetrexed demonstrated the highest antitumor effect compared with apatinib combined with gemcitabine or paclitaxel in vitro. In the zebrafish A549 xenograft model, apatinib and pemetrexed, alone or in combination, showed significant inhibition of tumor growth. Co-treatment with apatinib and pemetrexed demonstrated the best antitumor effects, suggesting that the combination of apatinib and pemetrexed might be a promising alternative therapy for patients with lung cancer. Apatinib combined with pemetrexed had enhanced antitumor effects compared with either one alone in the zebrafish model of NSCLC.

1 Introduction

Lung cancer is one of the most frequent malignancies globally [1,2]. Chemotherapy is the mainstay of treatment for inoperable non-small-cell lung cancer (NSCLC) [3,4,5]. Effective cytotoxic drugs in lung cancer, as supported by guidelines, include gemcitabine, paclitaxel, and pemetrexed in combination with platinum salts [3,4,5]. Although chemotherapeutic drugs kill many tumor cells, the remaining tumor cells can continue to grow, participating in treatment failure or recurrences [6]. Angiogenesis also plays a critical role in cancer by providing nutrient and oxygen supplies to fast-growing tumors, and targeting angiogenesis has become a targeted therapy strategy [7]. These drugs inhibit the effect of the vascular endothelial growth factor (VEGF) on its receptor (VEGFR) and angiogenesis [8]. In addition, these drugs assist in the survival of tumor blood vessels, reduce the pressure between tumor tissues, improve the delivery of chemotherapy drugs to tumor tissues, and improve the chemotherapy effect [8].

Apatinib, also known as YN968D1, is a tyrosine kinase inhibitor that selectively inhibits VEGFR2 [9,10]. It is an orally bioavailable, small molecular agent that inhibits angiogenesis by inhibiting VEGF-mediated endothelial cell migration and proliferation, thus blocking the formation of new blood vessels in tumor tissues [9,10]. Apatinib is effective in patients with NSCLC after failure with other therapies [11,12], as supported by meta-analyses [13,14]. In addition, Apatinib might be useful in increasing the intracellular concentrations of antineoplastic agents in several chemotherapy-resistant cancer cell lines [9,10]. Apatinib is potentially effective when combined with conventional chemotherapeutic agents, especially in cases of resistance to chemotherapy [15].

The Dll4-Notch-hey2 pathway is a critical negative regulator of tumor angiogenesis, restraining excessive VEGF-induced vascular sprouting and angiogenesis. The expression of Dll4 depends on continuous VEGF signaling, but blockage of the VEGF signaling pathway causes a rapid and marked decrease in the expression of Dll4 in the tumor vessels. According to a study, blockage of Dll4 inhibited tumor growth by promoting non-productive angiogenesis [16,17]. The EFNB2A gene regulates the proper spatial activation of VEGFR2 endocytosis in zebrafish [18]. SLIT2 promotes angiogenic activity via the ROBO1-VEGFR2-ERK1/2 pathway [19], and the SLIT3-ROBO4 pathway promotes vascular network formation [20]. The fibroblast growth factor receptor (FGFR) signaling pathway is associated with vascular outgrowth and maintenance of blood vessel integrity [21].

This study explored whether chemotherapy combined with vascular inhibitors can achieve better efficacy in NSCLC.

2 Methods

2.1 Cell culture

The A549 cell line was obtained from the Shanghai Institutes for Biological Sciences (China) and cultured in F12 Nutrient Mix-Kaighns Mod (Invitrogen) medium supplemented with 10% fetal bovine serum (FBS; Invitrogen) and 1% antibiotic/antimycotic (Invitrogen) at 37°C in a humidified atmosphere containing 5% CO2.

2.2 Cell viability

A549 cells were seeded at 5×104 cells/well in 96-well microculture plates and cultured for 12 h. The medium was removed and replaced with a fresh medium with or without cytotoxic agents, apatinib, and apatinib combined with cytotoxic agents. The cells were incubated for 72 h. The medium was removed and replaced with fresh medium. Cell survival was then quantified using the tetrazolium dye methylthiotetrazole assay (MTT). Each experiment was repeated at least thrice.

2.3 Combination index analyses

In this experiment, apatinib and cytotoxic agents (gemcitabine, paclitaxel, and pemetrexed) were used. These cytotoxic agents were selected because they are among the first-line treatment options for NSCLC [3,4,5]. Apatinib was combined with the cytotoxic agents in four proportions (4/5 apatinib + 1/5 cytotoxic agent, 3/5 + 2/5, 2/5 + 3/5, and 1/5 + 4/5). The initial concentration of each agent was chosen based on the IC50 value of these four combination proportions. For the combination of apatinib and gemcitabine, the IC50 value of the apatinib single-agent was 5.384 μM, and the IC50 value of the gemcitabine single-agent was 0.750 μM. We chose 4 μM apatinib + 1 μM gemcitabine, 3 μM apatinib + 2 μM gemcitabine, 2 μM apatinib + 3 μM gemcitabine, and 1 μM apatinib + 4 μM gemcitabine, as initial concentrations in the four combination modes. The cell viability of A549 cells in the apatinib + gemcitabine group was measured by the MTT assay. The final IC50 value of apatinib and that of gemcitabine in the mixture of apatinib + gemcitabine were determined according to the MTT assay. Similarly, in the combination of apatinib + paclitaxel, the IC50 value of the apatinib single-agent was 2.693 μM, and that of the paclitaxel single-agent was 0.408 nM. We used 4 μM apatinib + 0.4 nM paclitaxel, 3 μM apatinib + 0.8 nM paclitaxel, 2 μM apatinib + 1.2 nM paclitaxel, and 1 μM apatinib + 1.6 nM paclitaxel. In the combination of apatinib and pemetrexed, the IC50 value of the apatinib single-agent was 5.275 μM, and that of the pemetrexed single-agent was 0.876 μM. We used 4 μM apatinib + 1 μM pemetrexed, 3 μM apatinib + 2 μM pemetrexed, 2 μM apatinib + 3 μM pemetrexed, and 1 μM apatinib + 4 μM pemetrexed. The A549 cell viability in different treatment groups is presented in Supplementary Material. The IC50 values of apatinib and chemotherapy agents in different groups are presented in Supplementary Material.

2.4 Zebrafish

The zebrafish models were obtained from the Shanghai Research Center of the Southern model organisms. Adult zebrafish were maintained at 28.5°C on a 14 h light/10 h dark cycle. Five to six pairs of zebrafish were set up for mating, and 200–300 embryos were generated on average. The embryos were maintained at 28.5°C in fish water (0.2% instant ocean salt in deionized water). The embryos were washed and staged according to the Kimmel CB’s experience [22]. The zebrafish facility at Shanghai Research Center for Model Organisms is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) International. The study was approved by the Animal Care and Use Committee of the Shanghai Research Center of the Southern model organisms.

  1. Ethical approval: The research related to animal use has been complied with all the relevant national regulations and institutional policies for the care and use of animals.

2.5 Maximum non-lethal concentration (MNLC)

In order to determine the MNLC and LC50 of the compounds, zebrafishes were exposed from 2 days post-fertilization (dpf) through 5 dpf to record the mortality. Dead zebrafishes were defined as those with an absence of heartbeat under a dissection stereomicroscope (Nikon SMZ645; Japan). For the initial tests, the compounds at five concentrations (0.1, 1, 10, 100, and 1,000 μM/L) were used for evaluation. If no MNLC and LC50 were found from the initial tests, additional concentrations of 0.01–2,000 μM/L were used for testing. Mortality curves were generated using GraphPad Prism 5.0 (GraphPad Software, San Diego, CA, USA), and MNLC was determined using logistic regression.

2.6 Angiogenesis

As the cells reach the horizontal myoseptum, the segmental artery tip cell undergoes a single cell division (20.5–23.5 hours post-fertilization (hpf)), and after this, one cell maintains its position and becomes a connector cell, while the tip cell continues to migrate dorsally, forming dorsal longitudinal anastomotic vessel (DLAV, 30–31 hpf). By 2 hpf, the trunk and tail intersegmental vessels (ISVs) for most zebrafish are lumenized and have an active circulation [23,24].

In order to evaluate the formation of blood vessels in zebrafish embryos, 22 hpf embryos were distributed in 12-well plates (30 embryos per well) (BD Falcon) for a treatment period of 26 h. The positive control for this assay was 5 μM PTK787, which is a VEGFR antagonist [25], and the negative control was 0.1% dimethyl sulfoxide (DMSO). Different concentrations of apatinib (1, 2.5, 5, and 10 μM) and PTK787 (5 μM) were diluted in 0.1% DMSO. DMSO containing the drug of interest was soaked in fish water, and zebrafish could take the drug orally. After treatment, the embryos were anesthetized with 0.016% MS-222 (tricaine methanesulfonate, Sigma-Aldrich, St. Louis, MO) and the number of complete ISVs (i.e., the number of ISVs that connect the dorsal aorta (DA) to the DLAV) was counted. The drug effect was then calculated using the following formula:

% Inhibition = 1 ISV amount of experimental group ISV amount of vehicle control × 100 .

2.7 Zebrafish tumor xenograft

Zebrafish embryos were obtained using standard mating conditions and staged for cell xenoplantation at 48 hpf. After cancer cell staining, the embryos were dechorionated using the micro-forceps, anesthetized with 0.0016% tricaine, and then positioned on their right side on a wet 1.0% agarose pad. The cells were stained with 5 μg/mL CM-DiI diluted in phosphate buffered saline (PBS) and washed four times: once with FBS, twice with PBS, and then once with 10% FBS diluted in PBS. The cells were kept on ice before injection. Approximately 200 cancer cells were injected into the yolk sac. The embryos with red fluorescence were moved to 6-well plates and cultured in fish water containing the drugs of interest (5 μmol apatinib with or without 70.5 μmol pemetrexed and 70.5 μmol pemetrexed). Tumor growth on day 4 of post-injection (dpi) was measured by fluorescence microscopy, and the relative fluorescence intensity (RFI) was measured to estimate the volume of tumor xenografts in control and drug-treated animals. Finally, the experiments were terminated, and the animals were euthanized by overexposing to tricaine.

2.8 Image acquisition

The embryos and larvae were analyzed with a Nikon SMZ 1500 Fluorescence microscope and photographed with digital cameras. Quantitative image analyses were performed using image-based morphometric analysis (NIS-Elements D3.1, Japan).

2.9 Quantitative real-time PCR

Total RNA was extracted from 30 to 50 embryos per group using Trizol (Roche) according to the manufacturer’s instructions. RNA was reverse transcribed using the PrimeScript RT reagent Kit with gDNA Eraser (Takara). Quantification of gene expression was performed in triplicates using Bio-rad iQ SYBR Green Supermix (Bio-rad) by detecting on the Realplex system (Eppendorf). The relative gene expression quantification was based on the comparative threshold cycle method (2−ΔΔCt) using ef1 as the endogenous control gene. The primer sequences are provided in Supplementary Material. Three independent experiments were evaluated.

2.10 Statistical analysis

All data are presented as mean value ± SEM. Statistical analysis and graphical representation of the data were evaluated using GraphPad Prism 5.0 (GraphPad Software, San Diego, CA). Statistical significance was evaluated using Student’s t-test, analysis of variance (ANOVA) with the LSD post hoc test, or χ 2 test, as appropriate. P < 0.05 was considered statistically significant, and statistical significance was indicated by *P < 0.05, and ***P < 0.0001.

3 Results

3.1 Synergistic effects of apatinib combined with chemotherapy in A549 cell line

The MTT results showed that apatinib single-agent had a slight inhibitory effect on the viability of A549 lung cancer cells, with an IC50 value ranging from 2.693 to 5.384 μmol. The IC50 value of the apatinib single-agent was higher than that of the three cytotoxic agents (gemcitabine 0.75 μmol, paclitaxel 0.48 nmol, and pemetrexed 0.88 μmol), suggesting that apatinib had low cytotoxicity compared with chemotherapy agents (Supplementary Material).

The combination of apatinib and gemcitabine showed a synergistic effect at 4/5 apatinib + 1/5 gemcitabine (CI = 0.43) and 1/5 apatinib + 4/5 gemcitabine (CI = 0.67). In the combination of apatinib and paclitaxel, a synergistic effect at the proportion of 4/5 apatinib + 1/5 paclitaxel (CI = 0.88) was observed. In the combination of apatinib and pemetrexed, a synergistic effect at the proportion of 4/5 apatinib + 1/5 pemetrexed (CI = 0.52) and 3/5 apatinib + 2/5 pemetrexed (CI = 0.42) was observed (Figure 1). These results suggested that apatinib combined with pemetrexed at the proportion of 3/5 apatinib + 2/5 pemetrexed (CI = 0.42) provided an optimal antitumor effect in vitro. These findings suggest that apatinib combined with the three cytotoxic agents provides a synergistic antitumor effect at rational combination proportions, especially apatinib and pemetrexed.

Figure 1 
                  Combination index of apatinib (A) and gemcitabine (B1), paclitaxel (B2), and pemetrexed (B3) in A549 cell line. There are four combination proportions of apatinib and cytotoxic agents (from 1/5 A + 4/5 B to 4/5 A + 1/5 B). The combination index (CI) was used to estimate the combination effects.
Figure 1

Combination index of apatinib (A) and gemcitabine (B1), paclitaxel (B2), and pemetrexed (B3) in A549 cell line. There are four combination proportions of apatinib and cytotoxic agents (from 1/5 A + 4/5 B to 4/5 A + 1/5 B). The combination index (CI) was used to estimate the combination effects.

3.2 Toxicity and safety of apatinib or pemetrexed in the zebrafish model

The toxicity of apatinib and pemetrexed in zebrafish embryos was concentration-dependent. Compared with pemetrexed, apatinib was less toxic to zebrafish embryos, with an LC50 value of 404.9 μmol and MNLC value of 70.5 μmol (Figure 2a). In the experiment, treatment with 1 μmol apatinib revealed malformed zebrafish, but treatment with 2.5 μmol apatinib for 48 h caused pericardial edema and heart failure in all zebrafish embryos investigated under a microscope (Figure 2b). It is important to note that the complications that occurred here were due to the vascular defects in the subintestinal vein (SIV) rather than direct cardiac toxicity. Pemetrexed at LC50 value of 218.5 μmol and MNLC value of 70.5 μmol remained toxic to zebrafish embryos (Figure 2c). These results confirmed that the LC50 value of apatinib in zebrafish embryos was only half the value of pemetrexed, suggesting that apatinib is a low toxic agent.

Figure 2 
                  Toxicity and safety of apatinib and pemetrexed in the zebrafish model. (a) The number of animal situations observed after apatinib treatment. (b) Treatment with 2.5 μM apatinib for 48 h caused pericardial edema (red arrow) and heart failure in all zebrafish embryos. The complications were caused due to vascular defects in the SIV (white arrow). (c) The number of animal situations observed after pemetrexed treatment. Zebrafish Strain: Tg(fli1a:EGFP)y1. Route of Administration: Soaking in 0.1% DMSO (in fish water). Animal number: Total of 20 embryos for each condition.
Figure 2

Toxicity and safety of apatinib and pemetrexed in the zebrafish model. (a) The number of animal situations observed after apatinib treatment. (b) Treatment with 2.5 μM apatinib for 48 h caused pericardial edema (red arrow) and heart failure in all zebrafish embryos. The complications were caused due to vascular defects in the SIV (white arrow). (c) The number of animal situations observed after pemetrexed treatment. Zebrafish Strain: Tg(fli1a:EGFP)y1. Route of Administration: Soaking in 0.1% DMSO (in fish water). Animal number: Total of 20 embryos for each condition.

3.3 Antiangiogenic effect of apatinib in the zebrafish model

In order to assess the antiangiogenic property of apatinib in vivo, the inhibitory effects of apatinib on blood vessel development were assessed using a fli1a-EGFP and casper transgenic zebrafish model. The results demonstrated that apatinib inhibited angiogenesis in zebrafish in a dose-dependent manner and both apatinib and PTK787 [25] (positive control) dramatically inhibited the development of blood vessels compared with the vehicle-treated embryos, while the DA) and major cranial vessels were not inhibited (Figure 3a, Supplementary Material). Apatinib was administered at 1, 2.5, 5, and 10 μmol, and the inhibitory rates of ISV were 0, 62.68, 94.57, and 100%, respectively. When micro-injected with 10 μmol of apatinib, the number of ISVs was decreased to 0, similar to the PTK787 group (Figure 3b). These results suggested that apatinib strongly inhibited angiogenesis but did not affect the developed and mature vasculature.

Figure 3 
                  Apatinib inhibits angiogenesis in zebrafish in a dose-dependent manner. (a) (a–o) Representative bright field and fluorescent images of zebrafish embryos at 49 hpf treated with 0.1% DMSO control, apatinib (1, 2.5, 5, and 10 μM), or 5 μM PTK787 (positive control) for 26 h were observed. (f–o) Compared with controls, embryos treated with apatinib presented fewer incomplete ISVs and only occasional sprouts (asterisk) of DA. The boxed regions are shown at higher magnification in the right panels. (b) Quantification of the number of complete ISVs showed a significant decrease in the apatinib-treated embryos. The antiangiogenic effect of apatinib in zebrafish embryos was dose-dependent. # ISVs: The number of complete ISVs (the number of ISVs that connect the DA to the DLAV). Error bars, SEM; ***P < 0.0001 (n = 10; ANOVA); ns, not significant. DLAV, dorsal longitudinal anastomotic vessels; ISV, intersegmental vessels; DA, dorsal aorta; PCV, posterior cardinal vein. Zebrafish strain: fli1a-EGFP; casper. Route of administration: soaking in 0.1% DMSO (in fish water). Animal number: 30 embryos for each condition.
Figure 3

Apatinib inhibits angiogenesis in zebrafish in a dose-dependent manner. (a) (a–o) Representative bright field and fluorescent images of zebrafish embryos at 49 hpf treated with 0.1% DMSO control, apatinib (1, 2.5, 5, and 10 μM), or 5 μM PTK787 (positive control) for 26 h were observed. (f–o) Compared with controls, embryos treated with apatinib presented fewer incomplete ISVs and only occasional sprouts (asterisk) of DA. The boxed regions are shown at higher magnification in the right panels. (b) Quantification of the number of complete ISVs showed a significant decrease in the apatinib-treated embryos. The antiangiogenic effect of apatinib in zebrafish embryos was dose-dependent. # ISVs: The number of complete ISVs (the number of ISVs that connect the DA to the DLAV). Error bars, SEM; ***P < 0.0001 (n = 10; ANOVA); ns, not significant. DLAV, dorsal longitudinal anastomotic vessels; ISV, intersegmental vessels; DA, dorsal aorta; PCV, posterior cardinal vein. Zebrafish strain: fli1a-EGFP; casper. Route of administration: soaking in 0.1% DMSO (in fish water). Animal number: 30 embryos for each condition.

3.4 Synergistic effect of apatinib combined with pemetrexed in the zebrafish A549 xenograft model

A549 cells were stained with the red fluorescent cell tracer CM-Dil. A549 cells were microinjected into the yolk sac of the zebrafish embryo without immunosuppressant treatment. The tumor xenografts were evaluated by fluorescence microscopy immediately after injection (Figure 4a). The embryos with red fluorescence were moved to 6-well plates and cultured in fish water containing the drugs of interest (5 μmol apatinib with or without 70.5 μmol pemetrexed). The tumor growth on 4 dpi was evaluated by fluorescence microscopy, and the RFI was measured to estimate the volume of tumor xenografts in control and drug-treated animals (Figure 4b). The quantitative analysis of the inhibitory effects of apatinib, pemetrexed, or their combination on tumor growth showed that apatinib or pemetrexed alone or in combination significantly inhibited tumor growth in 4 dpi zebrafish embryos compared with the vehicle control group (Figure 4c). The inhibitory rates of the tumor mass in the apatinib, pemetrexed, and combination groups were 23.42, 28.87, and 45.71%, respectively (Figure 4c). These results revealed that apatinib had definite antitumor activity and suggested that the combination of apatinib and pemetrexed might be a potential alternative therapy for lung cancer.

Figure 4 
                  Co-administration of apatinib and pemetrexed inhibited tumor growth in vivo. (a) DiI-stained human A549 cells were successfully grafted into the yolk sac of a zebrafish embryo 2 dpf without immunosuppressant treatment. Approximately 200 cells were injected into the yolk sac and assessed by fluorescence microscopy. (b) Tumor growth at 4 dpi was observed by fluorescence microscopy. (c) Quantitative analysis of inhibitory effects of Apatinib, Pemetrexed, or combination concerning tumor growth. Columns, mean; bars, SEM (n = 10; ANOVA; ***P < 0.0001, **P < 0.01, *P < 0.05, compared to vehicle control group; *P < 0.05, compared to combination group). RFI, relative fluorescence intensity; dpi, days post-injection; MNLC, maximum non-lethal concentration. Zebrafish Strain: fli1a-EGFP; casper. Route of Administration: Soaking in 0.1% DMSO (in fish water).
Figure 4

Co-administration of apatinib and pemetrexed inhibited tumor growth in vivo. (a) DiI-stained human A549 cells were successfully grafted into the yolk sac of a zebrafish embryo 2 dpf without immunosuppressant treatment. Approximately 200 cells were injected into the yolk sac and assessed by fluorescence microscopy. (b) Tumor growth at 4 dpi was observed by fluorescence microscopy. (c) Quantitative analysis of inhibitory effects of Apatinib, Pemetrexed, or combination concerning tumor growth. Columns, mean; bars, SEM (n = 10; ANOVA; ***P < 0.0001, **P < 0.01, *P < 0.05, compared to vehicle control group; *P < 0.05, compared to combination group). RFI, relative fluorescence intensity; dpi, days post-injection; MNLC, maximum non-lethal concentration. Zebrafish Strain: fli1a-EGFP; casper. Route of Administration: Soaking in 0.1% DMSO (in fish water).

3.5 Co-treatment of apatinib and pemetrexed synergistically inhibited VEGFR2, EFNB2A, ROBO4, and FGFR4

In order to identify the molecular mechanism of the combinatorial effect of apatinib and pemetrexed in zebrafish, the mRNA expression levels of VEGFaa-VEGFR, Dll4-Notch-Hey2, EFNB2a, SLIT-ROBO, FGFR, PTP-RB, COX-2, VE-cadherin, and PIK3R2 were determined in the different treatment groups, which were the same as the above zebrafish A549 xenograft experiments. As shown in Figure 5a, no remarkable inhibition of the mRNA level of VEGFaa was observed when treated with single-agent or combined treatments. The mRNA expression levels of VEGFR1 (P < 0.0001) and VEGFR2 (P < 0.0001) were suppressed by apatinib treatment. Pemetrexed also suppressed the mRNA level of VEGFR2 (P < 0.01) but did not affect VEGFR1. The results revealed that the mRNA level of VEGFR2 in the co-treatment group was significantly decreased when compared to either the vehicle control group (P < 0.0001) or the single-agent group (P < 0.01), suggesting that apatinib and pemetrexed synergistically inhibited the VEGFR2 pathway.

Figure 5 
                  Effect of apatinib combined with pemetrexed on signaling pathways in zebrafish models. (a) Endogenous VEGFaa, VEGFR2, and VEGFR1 in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). APT, apatinib; PEM, pemetrexed; ns, not significant. (b) Endogenous Dll4, Notch1a, Hey2, and EFNB2A in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). (c) Endogenous SLIT2, SLIT3, ROBO1, ROBO2, and ROBO4 in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). (d) Endogenous FGFR11, FGFR 2, FGFR 3, and FGFR 4 in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). Zebrafish strain: Tg (fli1a:EGFP)y1. Animal number: 90 embryos for each condition.
Figure 5

Effect of apatinib combined with pemetrexed on signaling pathways in zebrafish models. (a) Endogenous VEGFaa, VEGFR2, and VEGFR1 in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). APT, apatinib; PEM, pemetrexed; ns, not significant. (b) Endogenous Dll4, Notch1a, Hey2, and EFNB2A in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). (c) Endogenous SLIT2, SLIT3, ROBO1, ROBO2, and ROBO4 in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). (d) Endogenous FGFR11, FGFR 2, FGFR 3, and FGFR 4 in control and lead compounds treated embryos were assessed by qRT-PCR (n = 10–15 individual embryos). Zebrafish strain: Tg (fli1a:EGFP)y1. Animal number: 90 embryos for each condition.

Apatinib or pemetrexed reduced the mRNA expression level of Dll4 when compared with the vehicle control group (P < 0.05), while apatinib combined with pemetrexed significantly inhibited the expression of Dll4 when compared with apatinib and control groups (P < 0.01), (Figure 5b).

The inhibition of VEGFR2 expression with apatinib induced a compensatory upregulation of the EFNB2A gene in zebrafish (P < 0.01). Pemetrexed did not affect the expression of EFNB2A compared with the vehicle control group, while the combination of apatinib and pemetrexed significantly inhibited the mRNA levels of EFNB2A (P < 0.0001), suggesting that apatinib and pemetrexed synergistically inhibited EFNB2A pathway (Figure 5b).

In this experiment, no remarkable inhibition of the mRNA levels of SLIT3, ROBO1, and ROBO2 was observed in the different treatment groups. The SLIT2 gene expression induced compensatory upregulation in zebrafish embryos treated with apatinib or pemetrexed. Zebrafish embryos, when co-treated with apatinib and pemetrexed, demonstrated suppression of SLIT2 mRNA expression upregulation to some extent but showed no significant difference between the combination group and vehicle group. For ROBO4, both single-agent groups demonstrated no effect on its expression level. However, the mRNA expression level of ROBO4 was significantly reduced in the combination group (P < 0.05), suggesting that apatinib and pemetrexed synergistically inhibited the ROBO4 pathway (Figure 5c).

The expression levels of FGFR1 and FGFR2 showed no significant differences among the four groups. Both apatinib and pemetrexed inhibited the expression of FGFR3, but no synergistic effect was observed. As for FGFR4, apatinib showed no effect on its expression, but pemetrexed inhibited its expression (P < 0.01). In addition, the combination treatment significantly inhibited the expression of FGFR4 (P < 0.0001), suggesting that apatinib and pemetrexed synergistically inhibited the FGFR4 pathway (Figure 5d).

In addition, though PTP-RB, COX-2, VE-cadherin, and PIK3R2 are associated with angiogenesis [26,27,28,29], no remarkable changes in their mRNA levels were observed when treated with single-agents or combined agents (Supplementary Material).

These findings suggested that apatinib combined with pemetrexed had enhanced antitumor effects compared with either one alone in a zebrafish model of NSCLC, which involves the synergistic inhibition of the VEGFR2, EFNB2A, ROBO4, and FGFR4 signaling pathways.

4 Discussion

In this study, we objectively evaluated the combined effects of apatinib and three first-line chemotherapy agents against NSCLC both in vitro and in vivo. In the in vitro experiment, apatinib demonstrated a slight inhibitory effect on the viability of A549 lung cancer cells, but compared with cytotoxic agents, the IC50 value remained higher, suggesting it was a low toxic agent. Apatinib-based chemotherapy strategy had a greater antitumor effect than single-agent treatments. Apatinib combined with pemetrexed had more optimal antitumor effects when compared with gemcitabine or paclitaxel in vitro, suggesting that apatinib and pemetrexed might be an optimal combination treatment.

In the in vivo experiments, the LC50 value of apatinib in zebrafish embryos was only half the value of pemetrexed, suggesting that apatinib is a low toxic and highly safe agent. The inhibitory effects of apatinib on blood vessel development were examined using a transgenic zebrafish model. The 22 hpf embryos were treated with different concentrations of apatinib for 26 h. Apatinib strongly inhibited the formation of ISVs but did not affect the developed DAs, suggesting that apatinib can effectively inhibit angiogenesis in tumors but have little effect on the normal vasculature. It demonstrated the high safety of apatinib.

Considering that the combination of apatinib and pemetrexed can be used to induce an optimal anticancer effect in vitro, the antitumor effect of apatinib combined with pemetrexed was evaluated in the zebrafish A549 xenograft model. Apatinib and pemetrexed, whether alone or in combination, significantly inhibited tumor growth, and their combination yielded the most optimal antitumor effect. It suggested that the combination of apatinib and pemetrexed might be a promising alternative therapy in patients with lung cancer. A study showed that anlotinib plus pemetrexed could be used for platinum-resistant ovarian cancer [30]. Another study also suggested the combination of anlotinib, pemetrexed, and cisplatin as first-line therapy for advanced NSCLC [31]. Although only a few data are available regarding the clinical use of anlotinib plus pemetrexed, the present study supports using this combination in lung cancer. Future studies are necessary to determine the exact benefits and risks of that combination.

The expression of Dll4 was dependent on continuous VEGF signaling. Blockage of the VEGF signaling pathway causes a rapid and marked decrease in the expression of Dll4 by tumor vessels. The Ephrin-B2 gene is the equivalent of the EFNB2A gene in zebrafish. Blocking Ephrin-B2 reverses VEGFR2 signaling and is considered an attractive alternative or combinatorial antiangiogenic therapy strategy for disrupting VEGFR2 function in tumor angiogenesis [18]. SLIT2 promoted the migration of endothelial cells and promoted the angiogenic activity via the ROBO1-VEGFR2-ERK1/2 signaling pathway; current data showed that the SLIT/ROBO pathway could be a promising therapeutic target for cancer [19,20]. FGFR signaling affects vascular outgrowth and is required to maintain blood vessel integrity by ensuring proper cell-cell junctions between endothelial cells. VEGFR inhibitor treatment caused compensatory upregulation of the FGFR pathway, contributing to tumor relapse [21]. The VE-PTP gene is equivalent to the ptp-rb gene in zebrafish, wherein it regulates VEGFR2 activity in stalk cells to establish endothelial cell polarity and lumen formation [26]. Moreover, COX-2 and PIK3R2 genes are also associated with tumor angiogenesis [27,28,29].

In our study, we initially found that apatinib directly inhibited the expression of VEGFR2, and pemetrexed significantly enhanced this inhibitory effect in the zebrafish A549 xenograft model. In addition, due to the antiangiogenic treatment of the zebrafish A549 xenograft model, compensatory upregulation of EFNB2A and SLIT might be associated with antiangiogenic drug resistance and tumor relapse. Surprisingly, when zebrafish embryos were treated with apatinib and pemetrexed, the compensatory upregulation of SLIT2 and EFNB2A mRNA expression showed suppression to some extent. It suggested that apatinib combined with pemetrexed might delay antiangiogenic drug resistance. Finally, apatinib and pemetrexed co-treatment also synergistically inhibited FGFR gene expression, which may enhance the antiangiogenic effect of the apatinib single-agent. Therefore, apatinib combined with pemetrexed has more advantages compared with single-agent treatment.

So far, the known side effects of apatinib mainly include hypertension (69.5%), proteinuria (47.8%), and hand-foot syndrome (45.6%), and some patients have to stop apatinib even though they have benefited from it when intolerance to adverse events occur [32]. Therefore, the tolerance regarding the combination of apatinib and pemetrexed is also an important point that needs to be examined. Our data showed that the combination of apatinib with pemetrexed did not significantly lead to malformation or acute mortality of zebrafish when compared with other single-agents in vivo. In this study, pemetrexed potentiated the effects of apatinib both in vitro and in vivo, making it possible to reduce the dosage of current apatinib and cytotoxic agents by using a drug combination regimen.

We agree that rodent models are closer to humans than zebrafish, but we needed a model that allowed the evaluation of the antiangiogenic effect of apatinib during development and at vessel maturity. In addition, zebrafishes can be used as xenograft models for human cancer cells. In this case, the drugs were tested on the tumors from the A549 cells, not on the zebrafish. Nevertheless, future studies will be performed on rodents [33,34,35].

This study has provided a strong rationale to combine apatinib with current chemotherapeutic agents for treating advanced NSCLC in patients who do not harbor identifiable driver oncogenes. We believe that the combination of apatinib and pemetrexed is a promising therapeutic strategy for patients with advanced NSCLC.


# These authors contributed equally to this work.


Acknowledgements

We thank Mrs. Lian Dong and Mr. Zhihong Jiang for their secretarial assistance. We thank Shanghai Biomodel Organism Science & Technology Development Co, Ltd, for providing us with technical support. We thank Jiang Su Heng Rui Medicine Co, Ltd and Eli Lilly and Company, for providing us with apatinib and pemetrexed.

  1. Funding information: This work was supported by the Shanghai Jiao Tong University translational medicine Program (TM201514), the Natural Science Foundation of China program (81672271), and the Shanghai Jiao Tong University Program (YG2015MS60). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

  2. Author contributions: X.Y. and G.B.L. conceived and supervised the study; F.Y. and X.Y. designed the experiments; C.W., Q.Z.J., and Z.L. performed the experiments; Z.J.P. provided new tools and reagents; Q.Z.J. and Z.W.C. analyzed the data; C.W. and Z.L. wrote the manuscript; X.Y. and F.Y. made the manuscript revisions. All authors reviewed the results and approved the final version of the manuscript.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Received: 2022-01-22
Revised: 2022-05-17
Accepted: 2022-11-02
Published Online: 2023-03-07

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  186. Comparison of the prognostic value of four different critical illness scores in patients with sepsis-induced coagulopathy
  187. Application and teaching of computer molecular simulation embedded technology and artificial intelligence in drug research and development
  188. Hepatobiliary surgery based on intelligent image segmentation technology
  189. Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy
  190. Analysis of early diagnosis methods for asymmetric dementia in brain MR images based on genetic medical technology
  191. Early diagnosis for the onset of peri-implantitis based on artificial neural network
  192. Clinical significance of the detection of serum IgG4 and IgG4/IgG ratio in patients with thyroid-associated ophthalmopathy
  193. Forecast of pain degree of lumbar disc herniation based on back propagation neural network
  194. SPA-UNet: A liver tumor segmentation network based on fused multi-scale features
  195. Systematic evaluation of clinical efficacy of CYP1B1 gene polymorphism in EGFR mutant non-small cell lung cancer observed by medical image
  196. Rehabilitation effect of intelligent rehabilitation training system on hemiplegic limb spasms after stroke
  197. A novel approach for minimising anti-aliasing effects in EEG data acquisition
  198. ErbB4 promotes M2 activation of macrophages in idiopathic pulmonary fibrosis
  199. Clinical role of CYP1B1 gene polymorphism in prediction of postoperative chemotherapy efficacy in NSCLC based on individualized health model
  200. Lung nodule segmentation via semi-residual multi-resolution neural networks
  201. Evaluation of brain nerve function in ICU patients with Delirium by deep learning algorithm-based resting state MRI
  202. A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis
  203. Markov model combined with MR diffusion tensor imaging for predicting the onset of Alzheimer’s disease
  204. Effectiveness of the treatment of depression associated with cancer and neuroimaging changes in depression-related brain regions in patients treated with the mediator-deuterium acupuncture method
  205. Molecular mechanism of colorectal cancer and screening of molecular markers based on bioinformatics analysis
  206. Monitoring and evaluation of anesthesia depth status data based on neuroscience
  207. Exploring the conformational dynamics and thermodynamics of EGFR S768I and G719X + S768I mutations in non-small cell lung cancer: An in silico approaches
  208. Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer
  209. Incidence of different pressure patterns of spinal cerebellar ataxia and analysis of imaging and genetic diagnosis
  210. Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model
  211. Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders
  212. From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology
  213. Ecology and Environmental Science
  214. Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem
  215. Comparing the differences of prokaryotic microbial community between pit walls and bottom from Chinese liquor revealed by 16S rRNA gene sequencing
  216. Effects of cadmium stress on fruits germination and growth of two herbage species
  217. Bamboo charcoal affects soil properties and bacterial community in tea plantations
  218. Optimization of biogas potential using kinetic models, response surface methodology, and instrumental evidence for biodegradation of tannery fleshings during anaerobic digestion
  219. Understory vegetation diversity patterns of Platycladus orientalis and Pinus elliottii communities in Central and Southern China
  220. Studies on macrofungi diversity and discovery of new species of Abortiporus from Baotianman World Biosphere Reserve
  221. Food Science
  222. Effect of berrycactus fruit (Myrtillocactus geometrizans) on glutamate, glutamine, and GABA levels in the frontal cortex of rats fed with a high-fat diet
  223. Guesstimate of thymoquinone diversity in Nigella sativa L. genotypes and elite varieties collected from Indian states using HPTLC technique
  224. Analysis of bacterial community structure of Fuzhuan tea with different processing techniques
  225. Untargeted metabolomics reveals sour jujube kernel benefiting the nutritional value and flavor of Morchella esculenta
  226. Mycobiota in Slovak wine grapes: A case study from the small Carpathians wine region
  227. Elemental analysis of Fadogia ancylantha leaves used as a nutraceutical in Mashonaland West Province, Zimbabwe
  228. Microbiological transglutaminase: Biotechnological application in the food industry
  229. Influence of solvent-free extraction of fish oil from catfish (Clarias magur) heads using a Taguchi orthogonal array design: A qualitative and quantitative approach
  230. Chromatographic analysis of the chemical composition and anticancer activities of Curcuma longa extract cultivated in Palestine
  231. The potential for the use of leghemoglobin and plant ferritin as sources of iron
  232. Investigating the association between dietary patterns and glycemic control among children and adolescents with T1DM
  233. Bioengineering and Biotechnology
  234. Biocompatibility and osteointegration capability of β-TCP manufactured by stereolithography 3D printing: In vitro study
  235. Clinical characteristics and the prognosis of diabetic foot in Tibet: A single center, retrospective study
  236. Agriculture
  237. Biofertilizer and NPSB fertilizer application effects on nodulation and productivity of common bean (Phaseolus vulgaris L.) at Sodo Zuria, Southern Ethiopia
  238. On correlation between canopy vegetation and growth indexes of maize varieties with different nitrogen efficiencies
  239. Exopolysaccharides from Pseudomonas tolaasii inhibit the growth of Pleurotus ostreatus mycelia
  240. A transcriptomic evaluation of the mechanism of programmed cell death of the replaceable bud in Chinese chestnut
  241. Melatonin enhances salt tolerance in sorghum by modulating photosynthetic performance, osmoregulation, antioxidant defense, and ion homeostasis
  242. Effects of plant density on alfalfa (Medicago sativa L.) seed yield in western Heilongjiang areas
  243. Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
  244. Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture
  245. Animal Sciences
  246. Effect of ketogenic diet on exercise tolerance and transcriptome of gastrocnemius in mice
  247. Combined analysis of mRNA–miRNA from testis tissue in Tibetan sheep with different FecB genotypes
  248. Isolation, identification, and drug resistance of a partially isolated bacterium from the gill of Siniperca chuatsi
  249. Tracking behavioral changes of confined sows from the first mating to the third parity
  250. The sequencing of the key genes and end products in the TLR4 signaling pathway from the kidney of Rana dybowskii exposed to Aeromonas hydrophila
  251. Development of a new candidate vaccine against piglet diarrhea caused by Escherichia coli
  252. Plant Sciences
  253. Crown and diameter structure of pure Pinus massoniana Lamb. forest in Hunan province, China
  254. Genetic evaluation and germplasm identification analysis on ITS2, trnL-F, and psbA-trnH of alfalfa varieties germplasm resources
  255. Tissue culture and rapid propagation technology for Gentiana rhodantha
  256. Effects of cadmium on the synthesis of active ingredients in Salvia miltiorrhiza
  257. Cloning and expression analysis of VrNAC13 gene in mung bean
  258. Chlorate-induced molecular floral transition revealed by transcriptomes
  259. Effects of warming and drought on growth and development of soybean in Hailun region
  260. Effects of different light conditions on transient expression and biomass in Nicotiana benthamiana leaves
  261. Comparative analysis of the rhizosphere microbiome and medicinally active ingredients of Atractylodes lancea from different geographical origins
  262. Distinguish Dianthus species or varieties based on chloroplast genomes
  263. Comparative transcriptomes reveal molecular mechanisms of apple blossoms of different tolerance genotypes to chilling injury
  264. Study on fresh processing key technology and quality influence of Cut Ophiopogonis Radix based on multi-index evaluation
  265. An advanced approach for fig leaf disease detection and classification: Leveraging image processing and enhanced support vector machine methodology
  266. Erratum
  267. Erratum to “Protein Z modulates the metastasis of lung adenocarcinoma cells”
  268. Erratum to “BRCA1 subcellular localization regulated by PI3K signaling pathway in triple-negative breast cancer MDA-MB-231 cells and hormone-sensitive T47D cells”
  269. Retraction
  270. Retraction to “Protocatechuic acid attenuates cerebral aneurysm formation and progression by inhibiting TNF-alpha/Nrf-2/NF-kB-mediated inflammatory mechanisms in experimental rats”
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