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ORIGINAL RESEARCH article

Front. Pharmacol. , 20 February 2025

Sec. Pharmacology of Anti-Cancer Drugs

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1509568

This article is part of the Research Topic Metabolic reprogramming in cancer View all 13 articles

β-lapachone suppresses carcinogenesis of cervical cancer via interaction with AKT1

Pan Du&#x;Pan Du1Yue Li&#x;Yue Li2Anna HanAnna Han1Mengying WangMengying Wang1Jiajing LiuJiajing Liu1Yingshi Piao,Yingshi Piao1,3Liyan Chen,
Liyan Chen1,3*
  • 1Key Laboratory of Pathobiology (Yanbian University), State Ethnic Affairs Commission, Yanji, China
  • 2Changchun Center for Disease Control and Prevention, Changchun, China
  • 3Cancer Research Center, Yanbian University, Yanji, China

Introduction: Cervical cancer is one of the most prevalent malignant tumors affecting women worldwide, and affected patients often face a poor prognosis due to its high drug resistance and recurrence rates. β-lapachone, a quinone compound originally extracted from natural plants, is an antitumor agent that specifically targets NQO1.

Methods: CC cells were treated with varying concentrations of β-lapachone to examine its effects on glucose metabolism, proliferation, metastasis, angiogenesis, and EMT in vitro. The targets and action pathways of β-lapachone were identified using network pharmacology and molecular docking, with KEGG pathway enrichment analysis. Its effects and toxicity were verified in vivo using a nude mouse xenograft model.

Results: β-lapachone significantly inhibited the proliferation and metastasis of cervical cancer cells by regulating glucose metabolism, reducing tumor angiogenesis, and suppressing epithelial-mesenchymal transition (EMT) in cells with high NQO1 expression. Furthermore, we identified the inactivation of the PI3K/AKT/mTOR pathway as the key mechanism underlying these effects. AKT1 was identified as a potential target of β-lapachone in modulating glucose metabolism and EMT in cervical cancer cells.

Conclusion: These findings suggest that β-lapachone inhibits the malignant progression of cervical cancer by targeting AKT1 to regulate glucose metabolism in NQO1-overexpressing cells, providing a theoretical basis for developing novel therapeutic strategies for cervical cancer.

Introduction

Cervical cancer (CC) remains one of the leading causes of cancer-related mortality among women worldwide, particularly in young and middle-aged populations (Siegel et al., 2024). Recent data indicate that by 2050, the World Health Organization (WHO) predicts CC will result in over 1 million deaths annually (Feng et al., 2019). While radiotherapy is a commonly used treatment, it often lacks specificity and is associated with significant side effects, leading to poor prognosis and high recurrence rates (Woo and Kim, 2022; Vaccarella et al., 2013). Therefore, it is crucial to identify novel targeted drugs with minimal side effects to treat CC.

β-lapachone, a 1,2-naphthoquinone compound first isolated from the lapacho tree (Tabebuia avellanedae) (Yu et al., 2014), has demonstrated diverse biological activities, including anti-inflammatory, antiviral, and antipsoriatic effects (Sanajou et al., 2021; Kee et al., 2017). In recent years, β-lapachone has gained attention for its selective antitumor activity in various cancers, including hepatocellular carcinoma, gastric carcinoma, and breast cancer (Zhou et al., 2021; Zheng et al., 2021a; Yang et al., 2017). Its effects are closely tied to NAD(P)H: quinone oxidoreductase 1 (NQO1), an enzyme that catalyzes the conversion of β-lapachone into unstable hydroquinone. This compound undergoes rapid autoxidation, producing large amounts of reactive oxygen species (ROS) that cause oxidative DNA damage. This, in turn, hyperactivates poly (ADP-ribose) polymerase-1 (PARP1), leading to depletion of NAD+/ATP and ultimately inducing cell death (Huang et al., 2016; Lamberti et al., 2018). Despite the established importance of β-lapachone–NQO1 interactions in various cancers, its therapeutic potential in CC remains unclear.

Reprogramming of glucose metabolism serves as a distinguishing feature of tumor cells, which provides sustained energy for tumor growth and metastasis (DeBerardinis et al., 2008; Dong et al., 2022). To achieve sustained proliferation, tumor cells usually adjust their metabolism and nutrient acquisition. Tumor cells are usually dependent on an environment in which aerobic glycolysis produces large amounts of ATP and lactate even when oxygen is sufficient. This cellular switch from the normal respiratory pathway to aerobic glycolysis is known as the Warburg effect (Wu et al., 2016; Gu et al., 2017; Christofk et al., 2008). Moreover, in addition to serving as an energy source for cancer cells, aerobic glycolysis promotes local tumor invasion and metastasis and facilitates tumor immune escape (Tamada et al., 2012; Kitamura et al., 2011). Therefore, the development of antitumor drugs targeting the glucose metabolism pathway has the potential to provide an effective approach to cancer treatment.

In this study, we demonstrated that β-lapachone exhibits significant antitumor effects against NQO1-overexpressing CC cells in vitro and in vivo. Mechanistic studies revealed that β-lapachone inhibits cell proliferation, metastasis, glucose metabolism, tumor angiogenesis, and EMT by targeting AKT1 to inactivate the PI3K/AKT/mTOR pathway.

Materials and methods

Chemical compounds and cell culture

β-lapachone was purchased from Medchem Express (HY-13555, United States) and was dissolved in dimethyl sulfoxide (DMSO, D8371, Solarbio, China) to prepare a stock solution of 10 mM and stored at −20°C. 740 Y-P was purchased from Medchem Express (HY-P0175, United States). Human cervical cancer cell lines SiHa, HeLa, C33a and HcerEpic were provided by the Oncology Research Center of Yanbian University, China. HeLa, C33a, HcerEpic, and SiHa cells were cultured in Dulbecco’s modified Eagle Medium (DMEM) supplemented with 1% penicillin-streptomycin and 10% fetal bovine serum (FBS). The cells were kept at a steady temperature of 37°C and exposed to 5% CO2.

MTT assay

Cells were inoculated in 96-well plates and treated with different concentrations of β-lapachone for 24, 48 and 72 h. Subsequently, 100 μL of MTT (1 μg/mL) was introduced to each well and left to incubate away from light for 4 h. Finally, 100 μL of DMSO was introduced to each well, and the cells were incubated away from light for 10 min. The absorbance measurement at 490 nm was used to determine the OD value.

Colony-formation assay

The cells were placed in 6-well plates at a concentration of 1,000 cells per well for the purpose of colony formation analysis. Subsequent to subjecting the cells to diverse concentrations of β-lapachone for a duration of 24 h on the subsequent day, the culture was sustained for a period of 10–14 days by substituting the drug-free DMEM medium. After the culture was finished, the cells were put in a 4% paraformaldehyde solution for 15 min, while Giemsa was stained for 30 min. Ultimately, a count of all the colonies was made, and pictures were acquired. We conducted three replications of each experiment.

Wound healing assay

After seeding the cells into 6-well plates, we scratched the middle of each well with a 200 µL pipette tip the next day, once the cells had fully fused. Following PBS washing and incubation in DMEM medium containing varying β-lapachone concentrations, measurements of the wound’s distance were made and photos were taken at predetermined intervals.

Transwell invasion and migration assays

For migration assay, the cells were routinely digested to prepare a cell suspension, and a serum-free DMEM culture with a cell density of 1 × 105 was added to 200 µL in the upper chamber. The corresponding lower section was incubated with 800 µL of DMEM medium containing 10% FBS in a 37°C, 5% CO2 incubator. On the following day, the serum-free DMEM medium containing different concentrations of β-lapachone was added to the upper chamber, the liquid in the lower chamber was discarded, and 800 µL of DMEM medium containing 10% FBS was re-added to continue the culture. The upper chamber was fixed with cold 4% paraformaldehyde at room temperature for 20 min, followed by staining with hematoxylin for 10 min. Remove the non-migrating cells from the bottom of the upper chamber with a cotton swab. The stained cells were observed under a light microscope and processed for blocking, and the number of stained cells was measured and analyzed using ImageJ software. In the invasion assay, the bottom of the transwell was coated with matrigel (matrigel and DMEM culture solution in a 1:6 ratio) 1 day in advance. The remaining experimental procedures were the same as for the migration experiments.

ATP, lactate and glucosen level assays

Cells were plated in 6-well plates and then treated with different doses of β-lapafenone for 24 h. The cells and supernatants were collected separately, and then ATP, lactate, and glucose levels were measured according to the requirements related to the Glucose assay kit (Applygen, E1011), ATP assay kit and Lactate assay kit (Njjcbio, A095/A019-2, China).

Tube formation assay

The 96-well plate was pre-chilled with 25 µL of matrigel in a 1:1 ratio and incubated at 37°C. Siha and C33a cells were treated with different concentrations of β-lapachone, and the supernatant was extracted and set aside after 6 h of incubation. Prepare HUVEC cell suspension with a density of 3 × 104, 50 µL/well. The extracted 150 µL of supernatant and HUVEC cell suspension were mixed and added to a 96-well plate and incubated at 37°C in a 5% CO2 incubator. The tube formation was imaged at 30 min intervals with a microscope (BX71, Olympus, Japan), and the resulting pictures were evaluated using ImageJ’s Angiogenesis Analyzer plugin.

Plasmids and transfection

The siRNA molecules targeting AKT1 were synthesized, purified and purchased by Hippobio (zhejiang, China). All plasmids were transfected with Lipofectamine™ 3000 transfection reagent (#L3000015, ThermoFisher, shanghai, China) following the manufacturer’s instructions. The siRNA sequences used were as follows: siAKT1#1: 5′-GGA CAA GGA CGG GCA CAU UAA TT-3’; siAKT1#2: 5′-CUA UGG CGC UGA GAU UGU GUC TT-3’; siAKT1#3: 5′-CGC CUC ACC AUG AAC GAG UUU TT-3’.

Western blot analysis

Cells were treated with different concentrations of β-lapachone for 24 h. The RIPA lysate, protease inhibitor, and phosphatase inhibitor were combined with the entire cell lysate in a ratio of 100:1:1, and the BCA kit (Beyotime, China) was used to measure the protein concentration. Through the utilization of sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), an equal proportion of the overall 40 μg protein was extracted, isolated, and subsequently transferred onto PVDF membranes (Millipore, United States). Following 1 h of blocking with 5% skimmed milk, a primary antibody was subjected to an overnight incubation at 4°C with the PVDF membrane. The primary antibodies used in this study were as follows: anti-AKT (CST, #4060, 1:1000), anti-E-cadherin (Proteintech, #20874, 1:1000), anti-G6PC (Proteintech, #22169, 1:1000), anti-GADPH (CST, #5174, 1:1000), anti-mTOR (CST, #2983, 1:1000), anti-NQO1 (CST, #3187, 1:1000), anti-PKM2 (Proteintech, #15822, 1:1000), anti-Snail (Proteintech, #13099, 1:1000), anti-Vimentin (Proteintech, #10366, 1:1000), anti-VEGF (Proteintech, #19003, 1:1000), anti-β-actin (Cwbio, #CW0264, 1:1000). The membranes were treated with a secondary antibody for one hour at room temperature the following day after being rinsed with TBST. Protein bands were examined using electrochemiluminescence (ECL) imaging equipment (Amersham imager 600, United States), and the bands were analyzed using Image Lab software.

Xenegraft model

The Experimental Animal Center of Yanbian University provided us with female BALB/C nude mice that were 4 weeks old. The Animal Research Ethics Committee granted approval to all experiments, and all creatures were kept in a sterile atmosphere (Registration Number: YD20231120001; Approval Date: 20 November 2023). For the in vivo xenograft model, SiHa cells (5 × 106) and matrigel were combined proportionately and subcutaneously into the lower dorsal side of naked mice. Following the injection, the mice were allocated into two sets of six in a random manner. During the intraperitoneal injection of β-lapachone (5 mg/kg) every other day for a duration of 14 days, measurements were taken for body weight and tumor size. After the experiment, the mice were euthanized, all tumor samples were collected, recorded, and further examined.

Rescue experiments

In accordance with the instructions provided by the manufacturer, the PI3K activator 740 Y-P was dissolved in DMSO until it reached a final concentration of 5 μM. Siha cells underwent a 24 h treatment with β-lapachone at a concentration of 4 μM, while C33a cells were subjected to a 24 h treatment at a concentration of 6 μM prior to receiving 740 Y-P for the same duration. A western blot was employed to ascertain the expression of AKT, p-AKT, mTOR, p-mTOR, and EMT-related proteins.

Online database extraction

The GEPIA online database (http://gepia.cancer-pku.cn/) was utilized to analyze the expression of NQO1 in cervical cancer patients (Tang et al., 2017). Through the utilization of the websites Pharm Mapper and Gene Cards, it is possible to ascertain the target genes for β-lapachone in cervical cancer (https://www.lilab-ecust.cn/pharmmapper/, https://www. genecards. org/). Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted on the target genes for β-lapachone using the KOBAS tool (Bu et al., 2021).

Molecular docking

The 3D structure of AKT1 protein (PDB ID:1UNQ) was first obtained by searching from the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, http://www.rcsb.org/pdb/). The SDF format of β-lapachone was obtained from pubchem database (https://pubchem.ncbi.nlm.nih.gov) and converted to PDB format by Open Babel. Proteins were dehydrogenated, hydrogenated to calculate charge and converted to pdbqt format using AutoDocktools 1.5.7 software, ligands were hydrogenated, torsional forces were determined and converted to pdbqt format. Docking box coordinates were determined and molecular docking operations were performed using Autodock vina software. And PyMOL 2.1.0 was used to visualize the presentation and obtain the 3D analytical maps; Discovery studio software was used to visualize the interactions between the tested compounds and key residues.

Statistical analysis

Data from the experiment were statistically analyzed using Graphpad Prism 10.0. The standard deviation is used to ± express the data as means. The data was compared among different groups using either a one-way ANOVA or a paired student t-test. All results were performed in at least three independent experiments. P < 0.05 showed that the difference was statistically significant.

Results

β-lapachone inhibits the proliferation of cervical cancer cells with high NQO1 expression

To investigate the effects of β-lapachone (Figure 1A) on CC, we first analyzed NQO1 expression in CC tissues using the GEPIA online database. The results indicated that NQO1 expression is significantly higher in CC tissues compared to normal tissues (Figure 1B). Western blotting further confirmed elevated NQO1 levels in cervical CC lines (SiHa and C33a) compared to normal cervical epithelial cells (HcerEpic). Among these, SiHa and C33a cells, which exhibited the highest NQO1 expression, were selected for subsequent experiments in which they were treated with varying concentrations of β-lapachone (Figure 1C). MTT assays revealed that β-lapachone significantly inhibited the survival of SiHa and C33a cells (Figure 1D). Then, we screened the optimal concentration of β-lapachone for drug action on CC cells, revealing that treatment with β-lapachone also reduced NQO1 expression levels in these cells (Figure 1E). Furthermore, colony formation assays demonstrated that β-lapachone dose-dependently suppressed the colony-forming ability of CC cells compared to the control group (Figure 1F). Collectively, these findings highlight the inhibitory effects of β-lapachone on CC cell proliferation.

Figure 1
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Figure 1. β-Lapachone inhibits the proliferation of cervical cancer cells. (A) Chemical structures of β-lapachone. (B) Expression of NQO1 in cervical cancer and normal tissues were analyzed by GEPIA database. (C) NQO1 protein levels in cancer cell lines and normal cells were detected by Western blot. (D) Cell viability was detected by MTT assay after treatment of cervical cancer cells with different concentrations of β-lapachone. (E) The expression of NQO1 protein in SiHa and C33a cells treated with β-lapachone for 24 h. (F) The effect of β-lapachone on cell proliferation was detected by colony formation assay. Error bars represent the means ± SD of three independent experiments. *P < 0.05, **P < 0.01 vs. 0 μM β-lapachone group.

β-lapachone attenuates cervical cancer cell migration, invasion, EMT, and angiogenesis

Tumor cell proliferation and metastasis are critical processes in cancer progression. We evaluated the effects of β-lapachone on CC cell migration and invasion using wound healing and Transwell assays. Wound healing assays showed that β-lapachone significantly reduced the wound closure rates for SiHa and C33a cells after 12 h (Figures 2A, B). Similarly, Transwell assays assessing longitudinal migration revealed that β-lapachone markedly decreased the number of migratory cells (Figures 2C, D). Consistent with this, β-lapachone treatment led to a notable reduction in the quantity of invasive cells. Therefore, these findings suggest that β-lapachone can attenuate the migration and invasion of CC cells.

Figure 2
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Figure 2. β-Lapachone attenuated cervical cancer cell migration, invasion, EMT and angiogenesis. (A, B) Wound healing assay was used to reflect the migration ability of SiHa and C33a cells after treatment with the indicated concentrations (0–6 µM) of β-lapachone. (C, D) Transwell assay was used to detect the effect of the indicated concentrations of β-lapachone treatment on the migration and invasion ability of CC cells. (E, F) Cells were treated with β-lapachone (0–6 µM) for 24 h, and protein levels of E-cadherin, Vimentin, and Snail were analyzed by Western blot. (G) The supernatant from cells treated with β-lapachone (0–6 μM) for 24 h was collected for the tube formation assay. (H) After treating cells with β-lapachone (0–6 µM), VEGF protein expression was detected by Western blot. Error bars represent the means ± SD of three independent experiments. *P < 0.05, **P < 0.01 vs. 0 μM β-lapachone group.

The epithelial-mesenchymal transition (EMT) is essential for the development of tumors. To delve deeper into the potential involvement of the EMT process in the impact of β-lapachone on CC cells, we analyzed the expression of EMT-related markers via Western blotting. The results showed that the expression level of the epithelial marker E-cadherin was significantly elevated in CC cells after β-lapachone treatment. In contrast, there was a marked decrease in the expression of the mesenchymal markers Vimentin and Snail (Figures 2E, F). To further elucidate the mechanisms by which β-lapachone inhibits CC metastasis, supernatants from β-lapachone-treated CC cells were collected and used to culture HUVECs. Microscopic observation of tube formation assay results revealed that β-lapachone significantly inhibited the angiogenic capacity of HUVECs in a concentration-dependent manner (Figure 2G). Additionally, Western blotting showed that β-lapachone substantially suppressed the expression of the angiogenesis-related protein VEGF in treated cells (Figure 2H). These findings collectively suggest that β-lapachone inhibits CC metastasis and progression by suppressing angiogenesis and EMT induction.

β-lapachone regulates glucose metabolism reprogramming in cervical cancer cells

Metabolic reprogramming is a hallmark of cancer, sustaining tumor cell growth, metastasis, survival, and treatment resistance. To evaluate the effect of β-lapachone on glucose metabolism in CC cells, we measured ATP, lactate, and glucose levels after treatment. The results showed a significant increase in intracellular glucose levels and a reduction in ATP and lactate dehydrogenase (LDH) levels following β-lapachone treatment (Figures 3A, B). To further investigate the molecular mechanisms underlying the effects of β-lapachone, we analyzed the expression of the glucose metabolism-associated proteins G6PC and PKM2 in CC cells. Western blotting revealed a significant reduction in G6PC and PKM2 expression levels in β-lapachone-treated SiHa and C33a cells, with more pronounced effects observed in C33a cells (Figures 3C, D). These findings suggest that β-lapachone disrupts glucose metabolism, thereby preventing CC progression.

Figure 3
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Figure 3. β-lapachone regulates glucose metabolism reprogramming in cervical cancer cells. (A, B) SiHa and C33a cells were treated with the indicated concentrations of β-lapachone (0–6 µM) for 24 h. Relative levels of ATP, Lactate and Glucose were determined. (C, D) After treating cells with β-lapachone (0–6 µM), PKM2 and G6PC protein expression was detected by Western blot. Error bars represent the means ± SD of three independent experiments. *P < 0.05, **P < 0.01 vs. 0 μM β-lapachone group.

β-lapachone inhibits cervical cancer progression and metastasis via the PI3K/AKT/mTOR signaling pathway

Using the GeneCards and PharmMapper databases, we identified 94 potential common targets of β-lapachone and CC (Figure 4A). KEGG pathway enrichment analysis of these targets suggested that the PI3K/AKT/mTOR signaling pathway plays a pivotal role in the inhibitory effects of β-lapachone on CC (Figure 4B). To validate this prediction, we analyzed the expression levels of proteins related to the PI3K/AKT/mTOR signaling pathway in β-lapachone-treated CC cells. Western blotting revealed a significant reduction in p-mTOR/mTOR and p-AKT/AKT levels following β-lapachone treatment (Figure 4C).

Figure 4
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Figure 4. β-lapachone inhibits cervical cancer progression and metastasis via the PI3K/AKT/mTOR signaling pathway. (A) Prediction of β-lapachone related target genes in cervical cancer. (B) KEGG pathway enrichment analysis. (C) After treating cells with β-lapachone (0–6 µM), p-AKT/t-AKT, p-mTOR/t-mTOR protein expression was detected by Western blot. (D) The expression of proteins related to the PI3K/AKT/mTOR pathway and EMT process in CC cells was detected by Western blot after treating with β-lapachone and the pathway activator 740 Y-P. Error bars represent the means ± SD of three independent experiments. *P < 0.05, **P < 0.01 vs. DMSO group, #P < 0.05, ##P < 0.01 vs. β-lapachone group.

To confirm the involvement of the PI3K/AKT/mTOR pathway in the tumor-suppressive effects of β-lapachone, we conducted rescue experiments using the PI3K pathway activator 740Y-P. Treatment with 740Y-P reversed the β-lapachone-induced suppression of p-AKT and p-mTOR expression. Additionally, 740Y-P restored β-lapachone-induced changes in EMT markers, including E-cadherin, Snail, and Vimentin (Figure 4D). Collectively, these results indicate that β-lapachone suppresses CC progression and metastasis by inactivating the PI3K/AKT/mTOR signaling pathway.

β-lapachone inhibits glucose metabolism and EMT induction in cervical cancer cells by targeting AKT1

To identify the specific candidate target proteins of β-lapachone involved in inhibiting CC progression, we combined target prediction results with pathway analysis and hypothesized that AKT1, a key protein in the PI3K/AKT/mTOR pathway, is involved in β-lapachone’s regulation of CC cells. Molecular docking using AutoDock Vina revealed strong binding between β-lapachone and AKT1, with a binding free energy of −6.7 kcal/mol and the formation of two hydrogen bonds at residues LYS39 and LEU52 (Figure 5A). To validate the role of AKT1, we knocked down AKT1 expression in CC cells (Figure 5B). AKT1 knockdown significantly attenuated the inhibitory effects of β-lapachone on the glucose metabolism markers PKM2 and G6PC. Similarly, the regulation of the EMT-related proteins E-cadherin, Snail, and Vimentin by β-lapachone was also abrogated by AKT1 knockdown (Figures 5C, D). These findings thus suggest that β-lapachone inhibits glucose metabolism and the EMT process in CC cells by targeting AKT1.

Figure 5
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Figure 5. β-lapachone inhibits glucose metabolism and EMT process in CC cells by targeting AKT1. (A) Docking analysis for predicting the binding mode of β-lapachone to AKT1. (B) Western blot analysis of AKT1 in CC cells transfected with siRNA-control, siRNA-AKT1-1、siRNA-AKT1-2 and siRNA-AKT1-3. (C, D) CC cells with AKT1 knockdown were treated with β-lapachone for 24 h, and protein expression levels were analyzed by Western blot. *P < 0.05, **P < 0.01 vs. β-lapachone group.

β-lapachone inhibits the progression of cervical cancer in vivo

Finally, a nude mouse xenograft tumor model was established to examine the inhibitory effect of β-lapachone on CC in vivo. β-lapachone (5 mg/kg) was injected intraperitoneally every other day. The mice were euthanized 2 weeks after initiating treatment. Compared with those in the control group, the tumor weights and volumes in the treatment groups were significantly reduced (Figures 6A–C). In addition, no morphological changes were observed in the kidneys, lungs, and livers of mice in the β-lapachone treatment group. Immunohistochemical analysis of the tumor tissues from these nude mice revealed that the expression of the proliferation-associated antigen Ki67 was reduced in the β-lapachone-treated group relative to the control group (Figure 6D). Together, these findings demonstrate that β-lapachone exhibits a substantial inhibitory effect on the proliferation of CC tumors in vivo with no obvious toxicity.

Figure 6
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Figure 6. β-Lapachone inhibits tumor growth in vivo. (A) Images of subcutaneous xenograft tumors in the treatment group β-lapachone and control group. (B) Weight statistics of subcutaneous xenograft tumors in the treatment and control groups. (C) Growth volume statistics of subcutaneous xenograft tumors in the treatment and control groups during treatment with β-lapachone. (D) Representative immunohistochemical staining images of Ki67 expression in grafted tumor tissues from various groups of mice; Representative H&E stained images of liver, kidney and lung tissues from each group of mice. Scale bar: 50 μm *P < 0.05, **P < 0.01.

Discussion

β-lapachone, as a natural product, has attracted attention for its therapeutic potential in a variety of tumors (Gomes et al., 2021; Gong et al., 2021). Recent studies have shown that β-lapachone exerts its antitumor effects by inducing NQO1-mediated redox cycling, forming peroxides that damage DNA and lead to the overactivation of PARP, which in turn leads to ATP depletion. Tumors with high NQO1 expression, such as hepatocellular carcinoma, pancreatic cancer, and breast cancer, are thus particularly sensitive to β-lapachone (Yang et al., 2017; Li et al., 2011; Zhao et al., 2021; Qadir et al., 2022). In this study, we explored the potential anti-tumor effects of β-lapachone in CC in vitro and in vivo. The GEPIA database analysis revealed that NQO1 is highly expressed in CC, a finding further confirmed by the significantly higher expression of NQO1 in CC cells compared to normal cervical epithelial cells. Further investigation demonstrated that β-lapachone effectively inhibited CC cells with high NQO1 expression, exhibiting selective targeting properties. Additionally, β-lapachone showed low toxicity to HcerEpic cells (Supplementary Figure S1). Significant reductions in HcerEpic cell viability were observed only at high β-lapachone concentrations, highlighting the importance of selecting appropriate therapeutic doses to maximize anticancer efficacy. β-lapachone treatment resulted in a dose-dependent reduction in CC cell viability and colony-forming ability, particularly in cells with higher levels of NQO1 expression. Consistent with these findings, a xenograft model demonstrated that β-lapachone significantly reduced tumor weight and volume without apparent toxicity, aligning with the in vitro results. We hypothesize that the primarily cytostatic, rather than cytotoxic, effects of β-lapachone may stem from differences in NQO1 expression between normal and tumor tissues and that β-lapachone exerts its oncostatic effects mainly through the generation of peroxides via NQO1-mediated redox cycling, which then affects the DNA damage repair mechanism rather than inducing cell death directly.

Aberrant cellular metabolism is a hallmark of cancer, with tumor cells requiring large amounts of glucose to produce lactic acid via aerobic glycolysis. This unique metabolic process supports cancer cell energy needs and promotes survival (Huang et al., 2021; Bose and Le, 2018). Research has shown increased glycogen levels in various cancers, such as breast and ovarian cancers, with glycogen levels being inversely correlated with replication rates (Yang et al., 2016). In our study, we observed significantly elevated glucose levels in CC cells treated with β-lapachone, accompanied by marked reductions in ATP and lactate levels. These findings suggest that β-lapachone disrupts the aerobic glycolytic pathway critical for CC cell survival. PKM2, a key enzyme in the Warburg effect, catalyzes the final stage of aerobic glycolysis and often exists as a low-activity dimer in tumor cells (Sun et al., 2011; Liu et al., 2017). PKM2 facilitates cancer cell growth by enhancing macromolecular synthesis through the pentose phosphate pathway (Zhu et al., 2022). In addition, G6PC, a key enzyme in glucose homeostasis, plays a crucial role in gluconeogenesis and glycogenolysis, with its inhibition significantly slowing CC growth (Zhu et al., 2021; Singh et al., 2018). β-lapachone produces ROS, which are converted to hydrogen peroxide, leading to excessive DNA damage (Ross and Siegel, 2017; Hong et al., 2019). This overactivates PARP1, resulting in the depletion of NAD+ and ATP, ultimately impairing glycolysis, redox balance, and downstream metabolic processes (Silvers et al., 2017). Previous studies have also shown that β-lapachone regulates glucose metabolism in tumor types such as lung, pancreatic, and colorectal cancers (Huang et al., 2016; Mahar et al., 2021). Consistent with these findings, we observed the downregulation of PKM2 and G6PC expression in CC cells treated with β-lapachone. Collectively, our results confirm that β-lapachone reduces ATP and LDH levels by modulating PKM2 and G6PC expression, thereby preventing CC progression.

EMT induction is a biological process wherein epithelial cells lose their characteristics and acquire mesenchymal traits, enhancing metastatic potential and promoting cancer progression (Li et al., 2019; Hisano and Hla, 2019). Western blotting in this study demonstrated that β-lapachone downregulated mesenchymal markers Vimentin and Snail while upregulating the epithelial marker E-cadherin. This suggests that β-lapachone inhibits CC cell migration and invasion by suppressing EMT activity. Angiogenesis, another critical factor in tumor growth, facilitates metastasis by promoting endothelial cell proliferation and new tumor vessel formation (Lugano et al., 2020; Plate et al., 2012; Shibuya, 2011). VEGF and its receptor VEGFR play a pivotal role in angiogenesis, making them key targets for anti-angiogenic cancer therapies (Sharma et al., 2017). Consistent with these observations, our study revealed that β-lapachone significantly suppressed VEGF protein expression in CC cells, reducing microtubule formation in HUVECs. These findings suggest that β-lapachone inhibits CC progression by targeting both angiogenesis and EMT induction.

The PI3K/AKT/mTOR signaling pathway regulates cell proliferation, survival, and metabolism, with its dysregulation frequently observed in tumors (Reddy et al., 2020; Zheng et al., 2021b). This pathway is an attractive therapeutic target in various cancers, including CC (Yang et al., 2019). In this study, KEGG pathway enrichment analysis indicated that β-lapachone exerts its effects on CC cells through the PI3K/AKT/mTOR pathway. We verified the predicted results via Western blotting, revealing a significant reduction in p-AKT and p-mTOR levels in CC cells. Subsequently, we performed rescue experiments using the pathway activator 740Y-P and found that the expression of proteins related to the PI3K/AKT/mTOR signaling pathway and EMT process was significantly reversed by β-lapachone treatment in CC cells. More importantly, network pharmacology and molecular docking studies identified AKT1 as a potential β-lapachone target, and AKT1 knockdown significantly attenuated the inhibitory effects of β-lapachone on glucose metabolism and EMT in CC cells. These findings suggest that β-lapachone inhibits CC progression by targeting the PI3K/AKT/mTOR signaling pathway.

In conclusion, our study demonstrates that β-lapachone, an antitumor therapeutic agent targeting high NQO1 expression, modulates glucose metabolism, suppresses angiogenesis, and inhibits the EMT process by targeting AKT1. These effects collectively prevent the malignant progression of cervical cancer (Figure 7). Together, this work provides a theoretical foundation for developing β-lapachone as a therapeutic agent for cervical cancer.

Figure 7
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Figure 7. Schematic illustration of the mechanisms by which β-lapachone regulates glucose metabolism, EMT process and angiogenesis in cervical cancer through the PI3K/AKT/mTOR signaling pathway.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics statement

Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used. The animal study was approved by Yanbian University Experimental Animal Welfare Ethics Committee. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

PD: Conceptualization, Data curation, Formal Analysis, Methodology, Resources, Writing–original draft, Writing–review and editing. YL: Conceptualization, Data curation, Formal Analysis, Software, Writing–original draft. AH: Data curation, Formal Analysis, Software, Writing–review and editing. MW: Methodology, Software, Writing–review and editing. JL: Data curation, Formal Analysis, Software, Writing–review and editing. YP: Conceptualization, Data curation, Formal Analysis, Writing–review and editing. LC: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Methodology, Resources, Software, Writing–original draft, Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by the National Natural Science Foundation of China (No. 82160695), the Projects of Science and Technology Department of Jilin Province (No. 20210101422JC).

Acknowledgments

We thank LetPub (www.letpub.com.cn) for its linguistic assistance during the preparation of this manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2025.1509568/full#supplementary-material

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Keywords: β-lapachone, glucose metabolism, AKT1, EMT, cervical cancer

Citation: Du P, Li Y, Han A, Wang M, Liu J, Piao Y and Chen L (2025) β-lapachone suppresses carcinogenesis of cervical cancer via interaction with AKT1. Front. Pharmacol. 16:1509568. doi: 10.3389/fphar.2025.1509568

Received: 11 October 2024; Accepted: 31 January 2025;
Published: 20 February 2025.

Edited by:

Elisa Giovannetti, VU Medical Center, Netherlands

Reviewed by:

Parmanand Malvi, University of Alabama at Birmingham, United States
Chao Ma, Shanghai University of Traditional Chinese Medicine, China

Copyright © 2025 Du, Li, Han, Wang, Liu, Piao and Chen. 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.

*Correspondence: Liyan Chen, bHljaGVuQHlidS5lZHUuY24=

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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