Shikonin inhibits the Warburg effect, cell proliferation, invasion and migration by downregulating PFKFB2 expression in lung cancer
- Authors:
- Published online on: June 4, 2021 https://doi.org/10.3892/mmr.2021.12199
- Article Number: 560
-
Copyright: © Sha et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Lung cancer is one of the most common causes of cancer-related mortality, accounting for 18.4% of cancer-related deaths worldwide (1). In total, ~85% of lung cancer cases are diagnosed as non-small cell lung cancer (NSCLC) and ~15% of lung cancer cases are diagnosed as small cell lung cancer (2). At present, the most common treatment methods for lung cancer include surgical resection, chemotherapy, radiotherapy, immunotherapy and targeted drugs (3). Although targeted therapies, such as EGFR inhibitors, and immunotherapy drugs, such as anti-programmed cell death protein 1/programmed death-ligand 1, have significantly improved the treatment of lung cancer, only a small number of patients are eligible to be treated with targeted therapies, thus the global 5-year survival rate of lung cancer remains at ~20% (4–8). Therefore, identifying specific and sensitive prognostic markers, therapeutic targets and devising novel therapeutic drugs to improve the survival time and quality of life of patients with lung cancer remains a priority.
The Warburg effect is defined by the altered metabolism of glucose, whereby tumor cells produce large amounts of lactate, even in the presence of oxygen and fully functioning mitochondria (9). The intrinsic mechanism of the Warburg effect is complex, and is associated with the activation of numerous oncogenes, inactivation of numerous tumor suppressor genes, the abnormal expression of glycosylase and changes in the tumor microenvironment, amongst other factors (10–12). However, the specific mechanism requires further investigation. It is well established that the cell death program (apoptosis) exerts an anticancer effect (13). The Warburg effect is closely associated with the occurrence and development of cancer, as it provides a growth advantage to tumor cells, helping them to escape apoptosis and create a suitable environment for tumor metastasis to occur (14–16). The inhibition of the Warburg effect promotes cell apoptosis and inhibits tumor proliferation and metastasis (17). Several key metabolic enzymes [pyruvate kinase M2 (PKM2), pyruvate dehydrogenase kinase 1 (PDK1) and hexokinase 2] have been found to play an important role in the Warburg effect (18–20). The changes in key enzymes can lead to an enhanced glycolytic ability, promote glucose uptake into tumor cells and increase the accumulation of lactic acid, thus further supporting tumor growth and development (21). 6-Phosphofructo-2-kinase/fructose-2,6-biphosphatase (PFKFB2) is an enzyme that regulates the synthesis and degradation of fructose-2,6-bisphosphate (Fru-2, 6-P2), which is widely expressed in a variety of cancer cells, such as ovarian, breast and pancreatic cancer cells (22,23). By regulating the expression of Fru-2, 6-P2 (a signaling metabolite that participates in glycolysis), the PFKFB family has been found to regulate intracellular glycolysis in cancer by acting as an oncogene (24,25).
Shikonin is a naphthalene quinone compound extracted from Lithospermum erythrorhizon (an herbaceous plant), which has demonstrated anti-inflammatory, antiviral, antitumor and wound healing potential, amongst other biological activities (26). The present study aimed to investigate the effects of shikonin on cell proliferation, migration, invasion, apoptosis and aerobic glycolysis in lung cancer cells, and further determined the potential underlying molecular mechanisms of shikonin. The current findings may provide a foundation for the clinical use of shikonin in the treatment of lung cancer.
Materials and methods
Patient studies
A total of 20 NSCLC and adjacent normal tissues were obtained from patients (10 women and 10 men; age range, 50–79 years) who underwent surgical resection at The Affiliated Hospital of Qingdao University (Qingdao, China) between January 2019 and December 2019. Patients who had received chemotherapy or radiotherapy prior to surgery were excluded from the study. Patients who were diagnosed by positron emission tomography/CT scan and were eligible for radical surgery were included in the study. All samples were stored at −80°C until required for RNA extraction. The study protocols were approved by the Ethics Committee of The Affiliated Hospital of Qingdao University, and written informed consent was obtained from all patients prior to participation.
Cell lines and culture
The Beas-2B lung epithelial cell line and lung cancer cell lines, A549 and H446, were obtained from The Cell Bank of Type Culture Collection of The Chinese Academy of Sciences. All cells were cultured at 37°C (5% CO2) in DMEM (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.) and 1% penicillin/streptomycin (Gibco; Thermo Fisher Scientific, Inc.).
Cell transfection
Small interfering RNA (siRNA)-negative control (NC) (sense, 5′-UUCUCCGAACGUGUCACGUTT-3′ and antisense, 5′-ACGUGACACGUUCGGAGAATT-3′), siRNA-PFKFB2 (sense, 5′-AUUGUCAUGCCGAAAGAAGUC-3′ and antisense, 5′-CUUCUUUCGGCAUGACAAUGA-3′), pcDNA3.1-PFKFB2 and pcDNA3.1-NC (all Shanghai GenePharma Co., Ltd.) were used to knockdown or overexpress PFKFB2, respectively. Cells were transfected with siRNA (30 nM) or overexpression vectors (1 µg) using Lipofectamine® 2000 reagent (Invitrogen; Thermo Fisher Scientific, Inc.) for 48 h at 37°C. Cells were harvested 48 h post-transfection for use in subsequent experiments.
Reverse transcription-quantitative PCR (RT-qPCR)
Transfected or untransfected A549 and H446 cells were treated with or without 50 µM shikonin (Shanghai Yuanye Biotechnology Co., Ltd.) for 24 h at 37°C. Total RNA was extracted from clinical specimens or cells using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.), according to the manufacturer's protocol. Total RNA was reverse transcribed into cDNA using a PrimeScript RT kit (Takara Biotechnology Co., Ltd.), according to the manufacturer's protocol. qPCR was subsequently performed on an ABI 7500 Real-Time PCR system (Applied Biosystems; Thermo Fisher Scientific, Inc.) using a SYBR® Premix Ex Taq™ kit (Takara Biotechnology Co., Ltd.). The following thermocycling conditions were used for the qPCR: Initial denaturation at 95°C for 3 min; followed by 40 cycles at 95°C for 5 sec and 60°C for 30 sec. The following primers pairs (Sangon Biotech Co., Ltd.) were used for the qPCR: PFKFB2 forward, 5′-GCTGCTTGGTGGGAGTGATAA-3′ and reverse, 5′-TGAGAAGCCAAGTGTCAGGG-3′; and β-actin forward, 5′-GAGGACCCTGGATGTGACAG-3′ and reverse, 5′-AAGACCTGTACGCCAACACA-3′. Relative mRNA expression levels were quantified using the 2−ΔΔCq method (27) and normalized to β-actin.
Western blotting
A549 and H446 cells were treated with shikonin [0 (control), 10, 20 or 50 µM] for 24 h at 37°C, then total protein was extracted from cells using RIPA lysis buffer (Santa Cruz Biotechnology, Inc.) supplemented with protease and phosphatase inhibitor mixture. Total protein was quantified using a BCA assay and 50 µg protein/lane was separated via 10% SDS-PAGE. The separated proteins were subsequently transferred onto PVDF membranes (EMD Millipore) and blocked with 5% skim milk for 2 h at room temperature. The membranes were then incubated with the following primary antibodies at 4°C overnight: Anti-PFKFB2 (1:1,000; cat. no. ab234865; Abcam), anti-PDK1 (1:2,000; cat. no. ab202468; Abcam), anti-glucose transporter 1 (GLUT1; 1:200; cat. no. ab150299; Abcam), anti-phosphoglycerate kinase 2 (PGK2; 1:1,000; cat. no. ab183031; Abcam), anti-lactate dehydrogenase A (LDHA; 1:1,000; cat. no. ab101562; Abcam), anti-PKM2 (1:1,000; cat. no. ab137852; Abcam), anti-GLUT3 (1:8,000; cat. no. ab41525; Abcam), anti-pyruvate dehydrogenase (PDH; 1:1,000; cat. no. 3205; Cell Signaling Technology, Inc.), phosphorylated (p)-PDH (1:1,000; cat. no. 31866; Cell Signaling Technology, Inc.) and anti-GAPDH (1:2,500; cat. no. ab9485; Abcam). Following the primary antibody incubation, the membranes were incubated with an anti-rabbit HRP-conjugated secondary antibody (1:5,000; cat. no. sc-2357; Santa Cruz Biotechnology, Inc.) for 1 h at room temperature. Protein bands were visualized using an enhanced chemiluminescence kit (EMD Millipore).
Cell proliferation assay
Following transfection, A549 and H446 cells were plated into 96-well plates at a density of 2×103 cells/well and cultured in DMEM supplemented with 10% FBS. For certain experiments, cells were also treated with shikonin [0, 10, 20 or 50 µM] for 24, 48, 72 or 96 h at 37°C. At each time point, Cell Counting Kit-8 (CCK-8) reagent (Dojindo Molecular Technologies, Inc.) was added to each well and incubated for 2 h at 37°C. The optical density (OD) value was measured at a wavelength of 450 nm using a microplate reader (Thermo Fisher Scientific). The experiment was repeated in triplicate.
Wound healing assay
A549 and H446 cells were digested using 0.25% trypsin solution (Gibco; Thermo Fisher Scientific, Inc.) and cultured in a 6-well plate at a density of 5×105 cells/well overnight at 37°C. Upon cells reaching 90% confluence, a single vertical scratch was made in the cell monolayer with a 10-µl micropipette tip. The cells were washed with PBS thrice to remove the detached cells. Subsequently, A549 and H446 cells were cultured in serum-free DMEM with/without shikonin (0, 10, 20 or 50 µM) at 37°C or transfected A549 cells were cultured in serum-free DMEM with 50 µM shikonin at 37°C with 5% CO2 in an incubator. At 0 h and following 24 h of incubation, the wound area was visualized and photographed using a light microscope (magnification, ×100) and the migration was analyzed using ImageJ software (version 1.8.0; National Institutes of Health).
Colony formation assay
After transfection for 48 h, A549 and H446 cells were plated into 6-well plates at a density of 0.5–1×103 cells/well; three wells were plated for each experimental condition. The cells were cultured in complete medium supplemented with 30% FBS in an incubator with 37°C for 14 days; the medium was changed every 3 days. During the incubation, the cell state and colony size were observed under a light microscope (magnification, ×100). After culture, cells were washed with PBS, fixed with 4% paraformaldehyde for 20 min at room temperature and stained with 0.2% crystal violet for 5 min at room temperature. The cells were then washed with water, dried, photographed and counted using ImageJ software; >50 cells counted as a colony.
Transwell assay
Transwell assay was used to analyze cell invasion and migration. Transwell chambers (Corning, Inc.) were precoated with (invasion) or without (migration) Matrigel (Becton, Dickinson and Company) at 37°C for 30 min. Following cell digestion using 0.25% trypsin solution, the culture medium was discarded by centrifugation (300 × g for 5 min at 37°C) and the cell pellet was washed with PBS 1–2 times. A549 cells were treated with shikonin (0, 10, 20 or 50 µM) for 24 h at 37°C. Next, cells were incubated in serum-free DMEM at a density of 5×105 cells/ml for 24 h at 37°C, then 100 µl cell suspension was added to the upper chamber of the Transwell plate. A total of 600 µl medium supplemented with 20% FBS was plated into the lower chambers. Following incubation for 24 h at 37°C, the cells were fixed with 4% paraformaldehyde for 10 min at room temperature and stained with 0.1% crystal violet for 10 min at room temperature. Finally, the cell numbers were counted under a light microscope (magnification, ×200) using ImageJ software.
Flow cytometric analysis of apoptosis
Cell apoptosis was analyzed using an Annexin V-FITC/propidium iodide (PI) staining kit (Invitrogen; Thermo Fisher Scientific, Inc.). Briefly, A549 cells were treated with shikonin (0, 10, 20 or 50 µM) for 24 h at 37°C or transfected A549 cells were treated with 50 µM shikonin for 24 h at 37°C and collected by centrifugation (300 × g for 5 min at 37°C). Cells (1×105 cells/well) were then washed with cold (4°C) PBS twice and resuspended in 1X binding buffer (200 µl). Cells were subsequently incubated with 5 µl Annexin V-FITC/PI at room temperature in the dark for 15 min. Apoptotic cells (early and late apoptotic cells) were visualized using a flow cytometer (Accuri™ C6 Plus; BD Biosciences).
Measurement of lactic acid production, glucose uptake and cellular ATP levels
A549 and H446 cells (1×104 cells/well) were seeded into 6-well plates and cultured in DMEM. A549 and H446 cells were treated with shikonin (0, 10, 20 or 50 µM) for 24 h at 37°C or transfected A549 cells were treated with 50 µM shikonin for 24 h at 37°C, then cell culture medium was subsequently collected and centrifuged at 8,000 × g for 5 min at room temperature. The supernatant was used to measure lactate or glucose concentrations, or cellular ATP levels. Extracellular lactate levels were measured using a lactate analysis kit (cat. no. E4341; BioVision, Inc.) according to the manufacturer's protocol. Cell lysates were used to measure glucose levels using a glucose assay kit (cat. no. K686; BioVision, Inc.) according to the manufacturer's protocol. ATP levels were measured using the CellTiter-Glo® luminescent cell activity assay kit (cat. no. G7572; Promega Corporation) according to the manufacturer's protocol. The relative value of lactate, glucose uptake and ATP levels were normalized to the control group (set to 1).
Statistical analysis
Statistical analysis was performed using SPSS 21.0 software (IBM Corp.) and data are expressed as the mean ± SEM of at least three independent experiments. Statistical differences between groups were determined using a one-way ANOVA followed by a Tukey's post hoc test. A paired Student's t-test was used to analyze the mRNA expression levels of PFKFB2 between NSCLC and adjacent normal tissues. P<0.05 was considered to indicate a statistically significant difference.
Results
Shikonin inhibits the proliferation, invasion and migration of A549 cells
To investigate the antitumor effects of shikonin, the inhibitory effect of shikonin was determined using cellular functional experiments. The results of the cell proliferation experiment revealed that shikonin (10, 20 or 50 µM) could inhibit the proliferation of A549 cells in a dose-dependent manner compared with the control group (all P<0.05; Fig. 1A). The results from the wound healing assay demonstrated that 10, 20 or 50 µM shikonin could significantly inhibit the migration of A549 cells compared with the control group (all P<0.05; Fig. 1B). The results of the Transwell assays showed that 10, 20 or 50 µM shikonin could significantly inhibit the migration and invasion of A549 cells in a dose-dependent manner compared with the control group (all P<0.05; Fig. 1C). Analysis of cell apoptosis revealed that 10, 20 or 50 µM shikonin increased the apoptosis of A549 cells compared with the control group (all P<0.05; Fig. 1D).
Shikonin inhibits the Warburg effect in a dose-dependent manner and regulates glucose metabolism in A549 and H446 cells
To further determine the underlying mechanism of the effect of shikonin on lung cancer cells, the effect of shikonin on the Warburg effect and glucose metabolism was investigated in A549 and H446 cells. The results found that 10, 20 or 50 µM shikonin could dose-dependently reduce glucose uptake, lactate and ATP levels in A549 cells compared with the control group (all P<0.05; Fig. 2A-C). Similar results were obtained for H446 cells (all P<0.05; Fig. 2D-F). These data indicated that shikonin may inhibit the Warburg effect and regulate glucose metabolism in lung cancer cells.
PFKFB2 expression is regulated by shikonin
To determine the mechanism through which shikonin inhibits glycolysis and the migration, proliferation and invasion of tumor cells, the protein expression levels of key enzymes involved in aerobic glucose metabolism were analyzed in A549 and H446 cells treated with shikonin. As shown in Fig. 3A, western blotting analysis revealed that shikonin downregulated the protein expression levels of PFKFB2 in a dose-dependent manner in A549 and H446 cells, while the expression levels of the other proteins (PDK1, GLUT1, PGK2, LDHA, PKM2, GLUT3, PDH and p-PDH) were not altered by shikonin treatment. These findings indicated that PFKFB2 expression may be regulated by shikonin. In addition, RT-qPCR analysis was performed to analyze the mRNA expression levels of PFKFB2 in A549 and H446 cells treated with 50 µM shikonin. The results revealed that treatment with shikonin significantly downregulated the mRNA expression levels of PFKFB2 compared with the control group (both P<0.05; Fig. 3B).
Expression levels of PFKFB2 are upregulated in lung cancer tissues, and the overexpression of PFKFB2 promotes proliferation, migration and the Warburg effect in lung cancer cells
To investigate the role of PFKFB2, the expression levels of PFKFB2 were first analyzed in 20 NSCLC and adjacent normal tissues. The results demonstrated that PFKFB2 expression levels were significantly upregulated in NSCLC tissues compared with the adjacent normal tissues (P<0.05; Fig. 4A). The expression levels of PFKFB2 were also significantly upregulated in lung cancer cells (A549 and H446) compared with Beas-2B normal lung epithelial cells (both P<0.05; Fig. 4B). In addition, RT-qPCR analysis found that PFKFB2 mRNA expression levels were significantly downregulated in A549 and H446 cells transfected with siRNA-PFKFB2 compared with siRNA-NC (both P<0.05) and significantly upregulated in A549 and H446 cells transfected with pcDNA3.1-PFKFB2 compared with pcDNA3.1-NC (both P<0.05) (Fig. 4C), which indicated that the cell transfections were successful. The results of the CCK-8 and colony formation assays revealed that the overexpression of PFKFB2 significantly increased the proliferation of A549 and H446 cells compared with the pcDNA3.1-NC group, while the knockdown of PFKFB2 significantly inhibited the proliferation of A549 and H446 cells compared with the siRNA-NC group (all P<0.05; Fig. 4D and E). The results of the wound healing assay demonstrated that the overexpression of PFKFB2 significantly promoted the migration of A549 and H446 cells compared with the pcDNA3.1-NC group, while the knockdown of PFKFB2 significantly inhibited the migration of A549 and H446 cells compared with the siRNA-NC group (all P<0.05; Fig. 4F).
Subsequently, whether PFKFB2 regulated the glycometabolic activity in A549 and H446 cells was investigated. The overexpression of PFKFB2 in A549 cells significantly increased glucose uptake, lactate and ATP levels compared with the control and pcDNA3.1-NC groups (all P<0.05; Fig. 5A-C). Similar results were obtained for H446 cells (all P<0.05; Fig. 5D-F).
PFKFB2 participates in shikonin-induced glycolysis, apoptosis and migration in lung cancer cells
Whether PFKFB2 participated in shikonin-induced aerobic glycolysis, cell apoptosis and migration was subsequently investigated. As shown in Fig. 6A-D, the knockdown of PFKFB2 or treatment of shikonin significantly inhibited glucose uptake, lactic acid production, ATP levels and migration in A549 cells compared with the control group (all P<0.05). Notably, there were no significant differences in glucose uptake, lactate levels, ATP production and migration between A549 cells with knocked down PFKFB2 or treated with shikonin and the knockdown of PFKFB2 in A549 cells treated with shikonin, suggesting that shikonin-mediated glycolysis and migration may be regulated by PFKFB2 in lung cancer cells. In addition, the knockdown of PFKFB2 or treatment of shikonin significantly increased cell apoptosis compared with the control group (P<0.05), while the knockdown of PFKFB2 in shikonin-treated cells did not significantly alter the apoptosis compared with treatment of shikonin or the knockdown of PFKFB2 (Fig. 6E).
Discussion
Lung cancer has become the most commonly diagnosed cancer worldwide, accounting for 11.6% of total cancers diagnosed (1). Currently, due to the lack of effective tumor molecular markers available to guide clinical diagnosis and treatment, the rate of successful treatment in patients with lung cancer remains poor; therefore, it remains an urgent priority to develop novel therapeutic drugs (28). Traditional Chinese medicine has long been used for the treatment of lung cancer and has demonstrated considerable clinical value, such as inhibiting metastasis, enhancing the host immune response and reducing the adverse effects of chemotherapy (29–31). The results of the present study revealed that shikonin inhibited cell proliferation, invasion, and migration, reduced glucose uptake, lactate and ATP levels, increased apoptosis and downregulated the expression levels of PFKFB2 in lung cancer cells.
Shikonin, a natural naphthoquinone compound, is extracted and separated from the dry roots of Lithospermum erythrorhizon and has been found to play roles in numerous biological activities, including exerting anti-inflammatory, antiviral and antitumor effects, immune system regulation, promoting wound healing and protecting against multi-drug resistance (32–34). Among these biological activities, the anticancer effect of shikonin has been well reported. For example, a previous study reported that shikonin reduced the tumor diameter by 25% and increased the 1-year survival rate by 47.3% in patients with lung cancer (35). In addition, Zhang et al (36) demonstrated that shikonin inhibited the migration and invasion of thyroid cancer cells. Guo et al (37) also found that shikonin inhibited cell proliferation and induced apoptosis in glioma. Wang et al (38) reported that shikonin inhibited the proliferation and promoted apoptosis of breast cancer cells. The results of the present study demonstrated that shikonin could inhibit proliferation, migration and invasion, and increase the apoptosis of A549 cells in a dose-dependent manner, which were consistent with the findings of previous studies (36–38). However, the results of the present study showed a lower apoptosis rate, which is different to the results obtained in the aforementioned studies. Taken together, these results indicated that shikonin might exert antitumor effects in lung cancer.
Cancer cells do not use mitochondrial oxidative phosphorylation, even in the presence of oxygen, but instead use aerobic glycolysis, a phenomenon termed the Warburg effect (39,40). The Warburg effect has been reported to permit tumor cells to overcome metabolic stress and promote energy replenishment, which is vital for the proliferation and survival of cancer cells (41,42). In addition, the Warburg effect was suggested to impact the microenvironment and promote chemoresistance, angiogenesis and metastasis (43,44). Hence, investigating the Warburg effect may be crucial for determining the underlying mechanisms of the development and progression of NSCLC. The results of the present study found that shikonin could dose-dependently reduce glucose uptake, lactate and ATP levels in lung cancer cells. These data indicated that shikonin may inhibit the malignant evolution of lung cancer by inhibiting the Warburg effect.
PFKFB is an important regulator of glycolysis in cancer, and it was previously reported that the PFKFB family served an important role in the development and progression of numerous tumor types, such as lung, pancreatic and gastric cancer (45–47). Previous studies demonstrated that the expression levels of PFKFB2 were upregulated in melanoma, osteosarcoma and thyroid carcinoma (48–50). Furthermore, Liu et al (51) reported that microRNA-613 inhibited cell proliferation, invasion and the Warburg effect by regulating PFKFB2 expression in gastric cancer. Ozcan et al (22) also found that PFKFB2 inhibited glycolysis and proliferation in pancreatic cancer cells. The present study results showed that the expression levels of PFKFB2 were significantly upregulated in human NSCLC tissues and lung cancer cell lines, and that the overexpression of PFKFB2 increased cell proliferation, migration, glucose uptake, lactate and ATP levels in lung cancer cells. In addition, shikonin treatment downregulated the expression levels of PFKFB2. Furthermore, there were no significant differences in glucose uptake, lactate levels, ATP production, apoptosis and migration between the knockdown of PFKFB2 or treatment of shikonin and the knockdown of PFKFB2 in cells treated with shikonin. These results indicated that PFKFB2 may play an important role in the effects of shikonin treatment in lung cancer.
To the best of our knowledge, the present study was the first to demonstrate that shikonin inhibited lung cancer cell migration and the Warburg effect by regulating PFKFB2 expression, which may provide a novel insight into the mechanism underlying the anticancer effects of shikonin. However, it is important to note the limitations of the present study. For example, the proportion of apoptotic cells was too low to ascertain that shikonin induced apoptosis. In addition, the current study did not block the Warburg effect to further validate the effect of shikonin on cell proliferation, apoptosis and migration. The above limitations may weaken the conclusions of the present study; therefore, koningic acid, an irreversible and selective inhibitor of GAPDH (a rate-controlling glycolytic enzyme during the Warburg effect) will be used in future studies to block the Warburg effect to further validate the mechanism of shikonin in lung cancer (52).
In conclusion, the results of the present study suggested that shikonin inhibited the metabolism, migration and proliferation of lung cancer cells. In lung cancer tissues, PFKFB2 expression levels were upregulated and promoted the progression of lung cancer. In addition, PFKFB2 was found to participate in the shikonin-induced effects on the glycolysis and migration of lung cancer cells. These data suggested that treatments targeting PFKFB2 may benefit patients with lung cancer. In addition, shikonin may represent a potential novel compound for the treatment of lung cancer.
Acknowledgements
Not applicable.
Funding
No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
HZ conceived and designed the study; LS, ZL and XS performed the experiments; TW, YL and YZ analyzed and interpreted the data; and all authors wrote the manuscript. All authors read and approved the final manuscript. LS and HZ confirm the authenticity of all the raw data.
Ethics approval and consent to participate
The study protocols were approved by the Ethics Committee of The Affiliated Hospital of Qingdao University, and written informed consent was obtained from all patients prior to participation.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA and Jemal A: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 68:394–424. 2018. View Article : Google Scholar : PubMed/NCBI | |
Blandin Knight S, Crosbie PA, Balata H, Chudziak J, Hussell T and Dive C: Progress and prospects of early detection in lung cancer. Open Biol. 7:1700702017. View Article : Google Scholar : PubMed/NCBI | |
Rossi A, Tay R, Chiramel J, Prelaj A and Califano R: Current and future therapeutic approaches for the treatment of small cell lung cancer. Expert Rev Anticancer Ther. 18:473–486. 2018. View Article : Google Scholar : PubMed/NCBI | |
King-Kallimanis BL, Kanapuru B, Blumenthal GM, Theoret MR and Kluetz PG: Age-related differences in patient-reported outcomes in patients with advanced lung cancer receiving anti-PD-1/PD-L1 therapy. Semin Oncol. 45:201–209. 2018. View Article : Google Scholar : PubMed/NCBI | |
Shukuya T and Carbone DP: Predictive markers for the efficacy of anti-PD-1/PD-L1 antibodies in lung cancer. J Thorac Oncol. 11:976–988. 2016. View Article : Google Scholar : PubMed/NCBI | |
Festino L, Botti G, Lorigan P, Masucci GV, Hipp JD, Horak CE, Melero I and Ascierto PA: Cancer treatment with Anti-PD-1/PD-L1 agents: Is PD-L1 expression a biomarker for patient selection? Drugs. 76:925–945. 2016. View Article : Google Scholar : PubMed/NCBI | |
Zhong W, Chen S, Qin Y, Zhang H, Wang H, Meng J, Huai L, Zhang Q, Yin T, Lei Y, et al: Doxycycline inhibits breast cancer EMT and metastasis through PAR-1/NF-κB/miR-17/E-cadherin pathway. Oncotarget. 8:104855–104866. 2017. View Article : Google Scholar : PubMed/NCBI | |
Zhong W, Chen S, Zhang Q, Xiao T, Qin Y, Gu J, Sun B, Liu Y, Jing X, Hu X, et al: Doxycycline directly targets PAR1 to suppress tumor progression. Oncotarget. 8:16829–16842. 2017. View Article : Google Scholar : PubMed/NCBI | |
Liberti MV and Locasale JW: The Warburg effect: How does it benefit cancer cells? Trends Biochem Sci. 41:211–218. 2016. View Article : Google Scholar : PubMed/NCBI | |
Bi YH, Han WQ, Li RF, Wang YJ, Du ZS, Wang XJ and Jiang Y: Signal transducer and activator of transcription 3 promotes the Warburg effect possibly by inducing pyruvate kinase M2 phosphorylation in liver precancerous lesions. World J Gastroenterol. 25:1936–1949. 2019. View Article : Google Scholar : PubMed/NCBI | |
Luo Y, Medina Bengtsson L, Wang X, Huang T, Liu G, Murphy S, Wang C, Koren J III, Schafer Z and Lu X: UQCRH downregulation promotes Warburg effect in renal cell carcinoma cells. Sci Rep. 10:150212020. View Article : Google Scholar : PubMed/NCBI | |
Martinez-Outschoorn UE, Lin Z, Trimmer C, Flomenberg N, Wang C, Pavlides S, Pestell RG, Howell A, Sotgia F and Lisanti MP: Cancer cells metabolically ‘fertilize’ the tumor microenvironment with hydrogen peroxide, driving the Warburg effect: Implications for PET imaging of human tumors. Cell Cycle. 10:2504–2520. 2011. View Article : Google Scholar : PubMed/NCBI | |
Gregory CD and Paterson M: An apoptosis-driven ‘onco-regenerative niche’: Roles of tumour-associated macrophages and extracellular vesicles. Philos Trans R Soc Lond B Biol Sci. 373:201700032018. View Article : Google Scholar : PubMed/NCBI | |
Chen Z, Zuo X, Yao Z, Han G, Zhang L, Wu J and Wang X: MiR-3662 suppresses hepatocellular carcinoma growth through inhibition of HIF-1α-mediated Warburg effect. Cell Death Dis. 9:5492018. View Article : Google Scholar : PubMed/NCBI | |
Wang S, Zhang Y, Cai Q, Ma M, Jin LY, Weng M, Zhou D, Tang Z, Wang JD and Quan Z: Circular RNA FOXP1 promotes tumor progression and Warburg effect in gallbladder cancer by regulating PKLR expression. Mol Cancer. 18:1452019. View Article : Google Scholar : PubMed/NCBI | |
Li J, Zhang J, Xie F, Peng J and Wu X: Macrophage migration inhibitory factor promotes Warburg effect via activation of the NF-κB/HIF-1α pathway in lung cancer. Int J Mol Med. 41:1062–1068. 2018.PubMed/NCBI | |
Lu J, Tan M and Cai Q: The Warburg effect in tumor progression: Mitochondrial oxidative metabolism as an anti-metastasis mechanism. Cancer Lett. 356:156–164. 2015. View Article : Google Scholar : PubMed/NCBI | |
Feng Y, Liu J, Guo W, Guan Y, Xu H, Guo Q, Song X, Yi F, Liu T, Zhang W, et al: Atg7 inhibits Warburg effect by suppressing PKM2 phosphorylation resulting reduced epithelial-mesenchymal transition. Int J Biol Sci. 14:775–783. 2018. View Article : Google Scholar : PubMed/NCBI | |
Xu L, Li Y, Zhou L, Dorfman RG, Liu L, Cai R, Jiang C, Tang D, Wang Y, Zou X, et al: SIRT3 elicited an anti-Warburg effect through HIF1α/PDK1/PDHA1 to inhibit cholangiocarcinoma tumorigenesis. Cancer Med. 8:2380–2391. 2019. View Article : Google Scholar : PubMed/NCBI | |
Zhu W, Huang Y, Pan Q, Xiang P, Xie N and Yu H: MicroRNA-98 suppress Warburg effect by targeting HK2 in colon cancer cells. Dig Dis Sci. 62:660–668. 2017. View Article : Google Scholar : PubMed/NCBI | |
Khan MA, Zubair H, Anand S, Srivastava SK, Singh S and Singh AP: Dysregulation of metabolic enzymes in tumor and stromal cells: Role in oncogenesis and therapeutic opportunities. Cancer Lett. 473:176–185. 2020. View Article : Google Scholar : PubMed/NCBI | |
Ozcan SC, Sarioglu A, Altunok TH, Akkoc A, Guzel S, Guler S, Imbert-Fernandez Y, Muchut RJ, Iglesias AA, Gurpinar Y, et al: PFKFB2 regulates glycolysis and proliferation in pancreatic cancer cells. Mol Cell Biochem. 470:115–129. 2020. View Article : Google Scholar : PubMed/NCBI | |
Yang H, Shu Z, Jiang Y, Mao W, Pang L, Redwood A, Jeter-Jones SL, Jennings NB, Ornelas A, Zhou J, et al: 6-Phosphofructo-2-kinase/fructose-2,6-biphosphatase-2 regulates TP53-dependent paclitaxel sensitivity in ovarian and breast cancers. Clin Cancer Res. 25:5702–5716. 2019. View Article : Google Scholar : PubMed/NCBI | |
Pape MR, Prokop C and Hedrich HJ: Localization of the Pfkfb 2 gene on rat Chromosome 13. Mamm Genome. 7:5591996. View Article : Google Scholar : PubMed/NCBI | |
Novellasdemunt L, Tato I, Navarro-Sabate A, Ruiz-Meana M, Méndez-Lucas A, Perales JC, Garcia-Dorado D, Ventura F, Bartrons R and Rosa JL: Akt-dependent activation of the heart 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB2) isoenzyme by amino acids. J Biol Chem. 288:10640–10651. 2013. View Article : Google Scholar : PubMed/NCBI | |
Jeung YJ, Kim HG, Ahn J, Lee HJ, Lee SB, Won M, Jung CR, Im JY, Kim BK, Park SK, et al: Shikonin induces apoptosis of lung cancer cells via activation of FOXO3a/EGR1/SIRT1 signaling antagonized by p300. Biochim Biophys Acta. 1863:2584–2593. 2016. View Article : Google Scholar : PubMed/NCBI | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI | |
Barta JA, Powell CA and Wisnivesky JP: Global epidemiology of lung cancer. Ann Glob Health. 85:82019. View Article : Google Scholar : PubMed/NCBI | |
Li L, Wang S, Yang X, Long S, Xiao S, Wu W and Hann SS: Traditional Chinese medicine, Fuzheng Kang-Ai decoction, inhibits metastasis of lung cancer cells through the STAT3/MMP9 pathway. Mol Med Rep. 16:2461–2468. 2017. View Article : Google Scholar : PubMed/NCBI | |
Liao YH, Li CI, Lin CC, Lin JG, Chiang JH and Li TC: Traditional Chinese medicine as adjunctive therapy improves the long-term survival of lung cancer patients. J Cancer Res Clin Oncol. 143:2425–2435. 2017. View Article : Google Scholar : PubMed/NCBI | |
Yang J, Zhu X, Yuan P, Liu J, Wang B and Wang G: Efficacy of traditional Chinese medicine combined with chemotherapy in patients with non-small cell lung cancer (NSCLC): A meta-analysis of randomized clinical trials. Support Care Cancer. 28:3571–3579. 2020. View Article : Google Scholar : PubMed/NCBI | |
Andújar I, Ríos JL, Giner RM and Recio MC: Pharmacological properties of shikonin-a review of literature since 2002. Planta Med. 79:1685–1697. 2013. View Article : Google Scholar | |
Wang F, Yao X, Zhang Y and Tang J: Synthesis, biological function and evaluation of shikonin in cancer therapy. Fitoterapia. 134:329–339. 2019. View Article : Google Scholar : PubMed/NCBI | |
Wei PL, Tu CC, Chen CH, Ho YS, Wu CT, Su HY, Chen WY, Liu JJ and Chang YJ: Shikonin suppresses the migratory ability of hepatocellular carcinoma cells. J Agric Food Chem. 61:8191–8197. 2013. View Article : Google Scholar : PubMed/NCBI | |
Guo XP, Zhang XY and Zhang SD: Clinical trial on the effects of shikonin mixture on later stage lung cancer. Zhong Xi Yi Jie He Za Zhi. 11:598–599, 580. 1991.(In Chinese). PubMed/NCBI | |
Zhang Y, Sun B, Huang Z, Zhao DW and Zeng Q: Shikonin inhibites migration and invasion of thyroid cancer cells by downregulating DNMT1. Med Sci Monit. 24:661–670. 2018. View Article : Google Scholar : PubMed/NCBI | |
Guo N, Miao R, Gao X, Huang D, Hu Z, Ji N, Nan Y, Jiang F and Gou X: Shikonin inhibits proliferation and induces apoptosis in glioma cells via downregulation of CD147. Mol Med Rep. 19:4335–4343. 2019.PubMed/NCBI | |
Wang W, Wu Y, Chen S, Liu X, He J, Wang S, Lu W, Tang Y and Huang J: Shikonin is a novel and selective IMPDH2 inhibitor that target triple-negative breast cancer. Phytother Res. 35:463–476. 2021. View Article : Google Scholar : PubMed/NCBI | |
Yu Z, Huang L, Qiao P, Jiang A, Wang L, Yang T, Tang S, Zhang W and Ren C: PKM2 Thr454 phosphorylation increases its nuclear translocation and promotes xenograft tumor growth in A549 human lung cancer cells. Biochem Biophys Res Commun. 473:953–958. 2016. View Article : Google Scholar : PubMed/NCBI | |
Rong F, Tian X, Fang Z, Sun Y, Li F, Gao Y, Feng Y, Li L, Wang Y, Liu X, et al: MicroRNA-143 (miR-143) regulates cancer glycolysis via targeting hexokinase 2 gene. J Biol Chem. 287:23227–23235. 2012. View Article : Google Scholar : PubMed/NCBI | |
DeBerardinis RJ, Lum JJ, Hatzivassiliou G and Thompson CB: The biology of cancer: Metabolic reprogramming fuels cell growth and proliferation. Cell Metab. 7:11–20. 2008. View Article : Google Scholar : PubMed/NCBI | |
Schild T, Low V, Blenis J and Gomes AP: Unique metabolic adaptations dictate distal organ-specific metastatic colonization. Cancer Cell. 33:347–354. 2018. View Article : Google Scholar : PubMed/NCBI | |
Shamsi M, Saghafian M, Dejam M and Sanati-Nezhad A: Mathematical modeling of the function of Warburg effect in tumor microenvironment. Sci Rep. 8:89032018. View Article : Google Scholar : PubMed/NCBI | |
Hussain A, Qazi AK, Mupparapu N, Guru SK, Kumar A, Sharma PR, Singh SK, Singh P, Dar MJ, Bharate SB, et al: Modulation of glycolysis and lipogenesis by novel PI3K selective molecule represses tumor angiogenesis and decreases colorectal cancer growth. Cancer Lett. 374:250–260. 2016. View Article : Google Scholar : PubMed/NCBI | |
Yalcin A, Telang S, Clem B and Chesney J: Regulation of glucose metabolism by 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatases in cancer. Exp Mol Pathol. 86:174–179. 2009. View Article : Google Scholar : PubMed/NCBI | |
Minchenko OH, Ogura T, Opentanova IL, Minchenko DO, Ochiai A, Caro J, Komisarenko SV and Esumi H: 6-Phosphofructo-2-kinase/fructose-2,6-bisphosphatase gene family overexpression in human lung tumor. Ukr Biokhim Zh. 77:46–50. 1999.PubMed/NCBI | |
Minchenko OH, Tsuchihara K, Minchenko DO, Bikfalvi A and Esumi H: Mechanisms of regulation of PFKFB expression in pancreatic and gastric cancer cells. World J Gastroenterol. 20:13705–13717. 2014. View Article : Google Scholar : PubMed/NCBI | |
Houles T, Gravel SP, Lavoie G, Shin S, Savall M, Méant A, Grondin B, Gaboury L, Yoon SO, St-Pierre J and Roux PP: RSK regulates PFK-2 activity to promote metabolic rewiring in melanoma. Cancer Res. 78:2191–2204. 2018. View Article : Google Scholar : PubMed/NCBI | |
Zhao SJ, Shen YF, Li Q, He YJ, Zhang YK, Hu LP, Jiang YQ, Xu NW, Wang YJ, Li J, et al: SLIT2/ROBO1 axis contributes to the Warburg effect in osteosarcoma through activation of SRC/ERK/c-MYC/PFKFB2 pathway. Cell Death Dis. 9:3902018. View Article : Google Scholar : PubMed/NCBI | |
Camargo Barros-Filho M, Barreto Menezes de Lima L, Bisarro Dos Reis M, Bette Homem de Mello J, Moraes Beltrami C, Lopes Pinto CA, Kowalski LP and Rogatto SR: PFKFB2 promoter hypomethylation as recurrence predictive marker in well-differentiated thyroid carcinomas. Int J Mol Sci. 20:13342019. View Article : Google Scholar : PubMed/NCBI | |
Liu H, Chen K, Wang L, Zeng X, Huang Z, Li M, Dong P and Chen X: miR-613 inhibits Warburg effect in gastric cancer by targeting PFKFB2. Biochem Biophys Res Commun. 515:37–43. 2019. View Article : Google Scholar : PubMed/NCBI | |
Liberti MV, Allen AE, Ramesh V, Dai Z, Singleton KR, Guo Z, Liu JO, Wood KC and Locasale JW: Evolved resistance to partial GAPDH inhibition results in loss of the Warburg effect and in a different state of glycolysis. J Biol Chem. 295:111–124. 2020. View Article : Google Scholar : PubMed/NCBI |