Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. Lenvatinib is approved as a first-line treatment for unresectable HCC. The therapeutic duration of lenvatinib is limited by resistance, but the underlying mechanism is unclear. To establish lenvatinib-resistant cells, Hep3B cells were initially treated with 3 µM lenvatinib. The concentration was gradually increased by 1 µM or 0.5 µM per week and it reached to 7.5 µM 2 months after the initial exposure to lenvatinib. The biological characteristics of these cells were analyzed by ERK activation in the MAPK signaling pathway and a human phospho‐receptor tyrosine kinase (RTK) antibody array. Factors possibly related to lenvatinib resistance were analyzed using inhibitors, and cell proliferation was analyzed. We established lenvatinib-resistant HCC cells (LR cells) by long-term exposure to lenvatinib. Lenvatinib reduced ERK activation in the parent cells, but not in the LR cells. RTK array analysis showed that the activities of EGFR and insulin-like growth factor 1 receptor (IGF1R)/insulin receptor (INSR) were significantly increased in LR cells, whereas the activities of other RTKs were unchanged. Erlotinib, a widely used EGFR inhibitor, downregulated ERK activation in LR cells. The proliferation of LR cells will also be affected when lenvatinib is combined with erlotinib to treat LR cells. In contrast, inhibition of IGFR/INSR did not affect ERK activation or cell proliferation. Scavenging of reactive oxygen species (ROS) ameliorated the enhanced EGFR activation in LR cells. Lenvatinib resistance was induced by enhanced EGFR activation, possibly via ROS accumulation, in lenvatinib- resistant cells. These findings may enable the development of lenvatinib combination therapies for HCC.
Subject terms: Cancer, Gastroenterology
Introduction
Liver cancer is the second leading cause of cancer death, after lung cancer. It caused approximately 781,000 deaths worldwide in 2018; in that year, hepatocellular carcinoma (HCC) comprised approximately 90% of primary liver cancers1,2. Although the incidences of HCC are lower in Europe and the United States than in Asia and Africa, they have gradually increased in recent years3. The causes may include non-alcoholic fatty liver disease and non-alcoholic steatohepatitis, as well as hepatitis C4,5. Early HCC can be treated by radiofrequency ablation, surgical resection, or liver transplantation, but it has a high recurrence rate and low postoperative survival rate6–8. Most patients with liver cancer exhibited advanced disease at the time of diagnosis. Because of their decreased liver function, the above-mentioned treatment options are unsuitable for these patients9.
Although the multi-target tyrosine kinase inhibitor, sorafenib, was approved in 2007 as a first-line drug for unresectable HCC and has been used clinically, it has few clinical benefits; moreover, the 5-year relative survival rate of unresectable HCC patients is low after sorafenib treatment10,11. As a multi-target tyrosine kinase inhibitor, lenvatinib affects tumor cell proliferation and blood vessel formation by selectively inhibiting receptor tyrosine kinases (RTKs) such as vascular endothelial growth factor receptors 1–3, fibroblast growth factor receptors 1–4, and platelet-derived growth factor receptor α12. In the REFLECT trial, the use of lenvatinib as a first-line treatment for advanced HCC demonstrated non-inferiority, compared to sorafenib. This led to the approval of lenvatinib as a front-line treatment for advanced HCC13. Because of primary or adaptive drug resistance, the drug resistance of targeted therapy is not negligible, thus hindering the treatment of advanced HCC14,15. Accordingly, it is important to explore approaches for overcoming resistance of advanced HCC to lenvatinib by combination therapies or other methods.
Here, we reveal that epidermal growth factor receptor (EGFR) is highly activated in lenvatinib-resistant HCC cells, compared with the parent HCC cells. Treatment of cells with erlotinib, an inhibitor of EGFR, reversed lenvatinib resistance in drug-resistant HCC cells. These data provide evidence for improving or overcoming lenvatinib resistance; they may also provide insights regarding the potential mechanism of lenvatinib resistance.
Materials and methods
Materials
HepG2, Hep3B, and Huh-7 HCC cells were acquired from ATCC; JHH-4 and Huh-6 cells were acquired from the JRCB bank. Erlotinib, linsitinib, and lenvatinib were obtained from Selleck. Dulbecco’s Modified Eagle Medium (043-30085) and MEMα (135-15175) were purchased from Wako. Penicillin–streptomycin solution (× 100) (168-23191), 100 mmol/L sodium pyruvate solution (× 100) (190-14881), MEM non-essential amino acids solution (× 100)(139-15651), and 0.25 w/v% trypsin-1 mmol/L EDTA·4Na solution with phenol red (201-16945) were also purchased from Wako.
Cell culture
HepG2, JHH-4, Huh6, and Huh7 cells were cultured in Dulbecco’s Modified Eagle Medium supplemented with 10% fetal bovine serum, and 1 × penicillin- streptomycin. Hep3B cells were cultured in MEMα supplemented with the above additives, also add 1 × sodium pyruvate, and 1 × MEM non-essential amino acids. The cell lines were maintained in an incubator in a humidified atmosphere containing 5% CO2 at 37 °C.
Cell proliferation
Cell proliferation was measured by Cell Counting Kit-8 (CCK-8, Dojindo, Japan) assays. In accordance with the standard protocol, 4000 cells were seeded into 96-well palates with four replicates. Next, the cells were treated with lenvatinib and/or linsitinib, or erlotinib alone, for 24–96 h at 37 °C in 5% CO2. Next, 10 µL of CCK-8 solution were added to each well and incubated for 30 min. OD at 450 nm values were determined using a microplate reader. IC50 values were defined by non-linear regression (curve fit) analysis using GraphPad Prism 9.3.1 (350) Macintosh Version by Software MacKiev © 1994–2021 GraphPad Software, LLC for macOS.
Development of lenvatinib-resistant cell lines
To establish lenvatinib-resistant cells, parental cells were treated with 3 µM lenvatinib. The lenvatinib concentration was increased by 1 or 0.5 µM per week, reaching 7.5 µM after 2 months of initial exposure. Finally, a lenvatinib-resistant (LR) cell line was established. LR cells were continuously maintained in the presence of 7.5 µM lenvatinib.
Immunoblotting
Cells were washed and lysed with 2 × sodium dodecyl sulfate sample buffer. Next, proteins were separated by 5–20% sodium dodecyl sulfate–polyacrylamide gel electrophoresis, then transferred to a polyvinylidene difluoride membrane. The membrane was incubated with the indicated primary antibodies at 4 °C overnight. After incubation with a horseradish peroxidase-linked secondary antibody, immunoreactive bands were detected using an imaging system (ChemiDoc Touch). The primary antibodies were an anti-EGFR antibody (A11351; ABclonal), anti-β-actin (ACTB) antibody (9126; Cell Signaling Technology), anti-β-tubulin (TUBB) antibody (014-25041; Wako), anti-p44/42 MAPK (Erk1/2) antibody (#4695; Cell Signaling Technology), anti-phospho- p44/42 MAPK (Erk1/2) antibody (#4370; Cell Signaling Technology), anti-phospho-EGFR antibody (Y1068) (AP0301; ABclonal), and anti-phospho-insulin receptor antibody (AP0046; ABclonal). And the protein bands were semi-quantification using Image J software with p-protein/total protein or p-protein/internal control ratios (Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, https://imagej.nih.gov/ij/, 1997–2018).
Human phospho‐RTK antibody array
Hep3B cells and lenvatinib-resistant cells (LR7.5-3B) cells were treated with vehicle or lenvatinib. The cells were harvested and lysed with lysis buffer containing a protease and phosphatase inhibitor cocktail. Protein quantification was performed using a Standard BCA Protein Assay Kit (Thermo Scientific, Fremont, CA, USA), followed by analysis using a Human Phospho-RTK Antibody Array Kit (ARY001B; R&D Systems), in accordance with the manufacturer’s instructions. Array images were visualized by a chemiluminescence detection kit (Millipore, Billerica, MA, USA) and analyzed by Image Lab Software (Bio‐Rad).
RT-qPCR
Hep3B and LR7.5-3B cells were treated with vehicle or 3 μM lenvatinib for 4 h. Isogen with a Spin Column (314-07513) from Nippon Gene was used to extract total RNA. cDNA synthesis was performed using ReverTra Ace qPCR RT Master Mix (FSQ-201) from Toyobo. The qPCR reaction was prepared using KOD SYBR qPCR Mix (QKD-201T) also from Toyobo. Experiments were performed in accordance with the manufacturer’s instructions.
Detection of ROS
To quantitatively assess reactive oxygen species (ROS), we used the 2′,7′-dichlorofluorescin diacetate (DCFH-DA) assay, which is based on the diffusion of DCFH-DA into cells. The diffused DCFH-DA is deacetylated by cellular esterases to produce a non-fluorescent compound, which is oxidized by ROS into 2′,7′-dichlorofluorescein (DCF). DCF is highly fluorescent and can be detected by fluorescence spectroscopy with excitation/emission at 485/535 nm.
Statistical analysis
Data are expressed as the mean ± standard deviation (SD). Significant differences were determined using Student's t-test. p values ≤ 0.05 were considered significant.
Consent to publish
All authors contributed to the interpretation of the data and reviewed and approved the manuscript.
Results
Effect of lenvatinib on the MAPK signaling pathway
Most RTK-mediated signaling activates the mitogen-activated protein kinase (MAPK) cascade, comprising the Raf, MEK, and extracellular signal-regulated kinase (ERK). Therefore, we examined the effects of lenvatinib on ERK activation in Hep3B, Huh7, JHH-4, Huh6, and HepG2 HCC cells by immunoblotting analysis. Treatment with lenvatinib at 0,1, and 3 μM for 1,4, and 24 h significantly downregulated ERK phosphorylation in Hep3B and Huh7 cells (Fig. 1A,B). We also observed inhibition in JHH-4 and Huh6 cells that had been treated with 3 µM lenvatinib for 4 h (Fig. 1C). When HepG2 cells were treated with 3 µM lenvatinib for 4 h, ERK phosphorylation was not inhibited (Fig. 1D). Therefore, lenvatinib significantly downregulated the phosphorylation of ERK in the MAPK signaling pathway in most HCC cell lines (Fig. 1A–D).
Establishment of a lenvatinib-resistant HCC cell line
To explore the mechanism of HCC resistance to lenvatinib, parental cells were initially treated with 3 µM of lenvatinib. The concentration was gradually increased by 1 µM or 0.5 µM per week and it reached to 7.5 µM. When the HCC cell line was able to tolerate a higher dose of lenvatinib (cell proliferation was not inhibited by lenvatinib for 72 h), compared with the parent cells, we regarded this as successful generation of a resistant Hep3B cell line (LR7.5-3B); this process required 2 months of culture. In LR7.5-3B cells, lenvatinib enhanced ERK phosphorylation, rather than the initially observed inhibition (Fig. 2A). The IC50 of Hep3B and LR7.5-3B were 2.8 µM and > 30 µM, respectively (Fig. S1). We were unable to establish lenvatinib-resistant, JHH-4 and Huh6 cells (Fig. 2B). Lenvatinib did not inhibit the proliferation of LR7.5-3B cells, whereas it significantly inhibited the proliferation of Hep3B cells (Fig. 2C,D). Therefore, Hep3B and LR7.5-3B cells were used in subsequent analyses.
Enhanced activation of EGFR and IGF1R/INSR in lenvatinib-resistant cells
Using the Proteome Profiler Human Phospho-RTK Array Kit, we found that the phosphorylation levels of EGFR and insulin-like growth factor 1 receptor (IGF1R)/insulin receptor (INSR) were higher in LR7.5-3B cells than in Hep3B cells (Fig. 3A,B). These results were confirmed by immunoblotting analysis (Fig. 3E,F). Lenvatinib slightly reduced the activation of EGFR and IGF1R/INSR in Hep3B cells (Fig. 3A,C), but it did not affect or slightly increased the activation levels of these receptors in LR7.5-3B cells (Fig. 3B,D).
Erlotinib inhibits the phosphorylation of ERK and reverses resistance to lenvatinib
EGFR activation was increased in LR7.5-3B cells, compared with their parent cells; therefore, we tested the effects of EGFR inhibition. Erlotinib, as an inhibitor of the tyrosine kinase receptor EGFR (Fig. S6), is used to treat non-small cell lung cancer and pancreatic cancer16,17. ERK activation was slightly attenuated in Hep3B cells upon treatment with erlotinib alone. In contrast, increased ERK activation in LR7.5-3B cells was inhibited by erlotinib in a dose-dependent manner (Fig. 4A). To measure the proliferation of the cells, we used 0.5 µM erlotinib, because this concentration is started to inhibit ERK activity in LR7.5-3B. Erlotinib (0.5 µM) alone did not inhibit the proliferation of Hep3B or LR7.5-3B cells (Fig. 4B,C). Erlotinib and lenvatinib synergistically reduced ERK phosphorylation in Hep3B and LR7.5-3B cells (Fig. 4D). Furthermore, the proliferation of LR7.5-3B cells was inhibited by combination treatment (Fig. 4E,F), but it was not inhibited by lenvatinib alone (Fig. 2D). Therefore, enhanced EGFR activation is involved in lenvatinib resistance in LR7.5- 3B cells, and it can be reversed by the addition of erlotinib.
The IGF1R/INSR inhibitor linsitinib did not affect ERK phosphorylation or cell proliferation
Linsitinib, as an inhibitor of INSR and IGF1R, is often used as an experimental drug candidate for the treatment of various types of cancer18 (Fig. S6). Linsitinib alone did not inhibit ERK phosphorylation or proliferation in Hep3B and LR7.5-3B cells (Fig. 5A–C). Linsitinib and lenvatinib in combination did not affect ERK phosphorylation in LR7.5-3B cells (Fig. 5D). Additionally, cell proliferation was not inhibited by the addition of linsitinib (Fig. 5E,F). Therefore, enhanced INSR and IGF1R activation was not involved in lenvatinib resistance in LR7.5-3B cells.
Increased ROS production has a critical role in EGFR/ERK activation in lenvatinib-resistant cells
Reactive oxygen species (ROS) are byproducts of aerobic metabolism and are related to oxidative stress19. Endogenous ROS elevation can increase EGFR autophosphorylation20,21. Therefore, to analyze the involvement of ROS in the increased EGFR activation in resistant cells, we assayed the ROS content in Hep3B and LR7.5-3B cells with DCFH-DA assays. The ROS content was higher in LR7.5-3B cells than in Hep3B cells (Fig. 6A). Furthermore, Gpx1, Gpx2, and Gpx3 mRNA expression levels were increased in LR7.5-3B cells, compared with Hep3B cells, suggesting that the increased ROS production induced antioxidant enzyme expression to scavenge ROS (Fig. 6B). The antioxidant N-acetylcysteine (NAC) is used for investigating ROS in biological processes22. NAC inhibited ERK and EGFR phosphorylation in LR7.5-3B cells; in Hep3B cells, NAC slightly inhibited ERK phosphorylation and did not inhibit EGFR phosphorylation (Fig. 6C). Therefore, increased ROS production may have a key role in the activation of EGFR/ERK in lenvatinib-resistant cells.
Discussion
Although sorafenib has been approved as a first-line treatment for HCC, its clinical benefit is not significant10,11. Compared with sorafenib, lenvatinib has demonstrated non-inferiority and can improve clinical efficacy, although its median overall survival is limited to approximately 1 year13. Patients with advanced HCC may develop resistance to lenvatinib14,15. To explore the mechanisms underlying acquired lenvatinib resistance and the recovery of lenvatinib sensitivity, we developed a human HCC cell line with lenvatinib resistance via long-term exposure to lenvatinib.
Enhanced EGFR activation is a mechanism of lenvatinib resistance. In this study, we found that only Hep3B cells were amenable to the creation of resistant lines. This is presumably because many cells are resistant to lenvatinib before treatment, hampering the creation of a resistant strain. Indeed, the activation level of EGFR is reportedly related to susceptibility to lenvatinib23.
The activation of other RTKs comprises a mechanism of tyrosine kinase inhibitor resistance. This feedback system provides common signals (e.g., MAPK, downstream of RTK) that facilitate the survival of cancer cells. Various factors may be involved, such as gene mutations and epigenetic alterations24. In this study, an RTK array was used to screen for other RTK activations in resistant cells. The activated states of EGFR and IGF1R were consistently enhanced. Notably, EGFR inhibition reversed lenvatinib resistance and reduced ERK activation in resistant cells. Therefore, lenvatinib-resistant cells may have increased dependence on EGFR, compared with their parent cells.
The EGFR system is a “signal hub” where extracellular growth and survival signals converge25. EGFR is important in cell proliferation, survival, and migration25. EGFR positivity is observed in 68% of HCC patients, and its overexpression is related to aggressive tumors, metastasis, and poor survival26,27. In HCC, activation of the downstream MAPK/ERK signaling pathway promotes cell proliferation, movement, and survival; it also supports tumor progression by promoting tumor growth, invasiveness, and angiogenesis28,29.
Erlotinib alone decreased ERK activation in LR7.5-3B, but the cell proliferation was not inhibited by erlotinib alone. It was very interesting. We suppose that ERK activation is an important marker for the proliferation. However, in addition to ERK activation, other than ERK activation is necessary for the cell proliferation. So far, we could not identify the putative factors. In lenvatinib-sensitive cells, lenvatinib may inhibit ERK/MAPK as well as other putative factors, whereas in the resistant cells, both erlotinib and lenvatinib inhibited ERK/MAPK, but may be still need to lenvatinib for inhibition the putative factors (Fig. S7).
One of the putative mechanisms for increased EGFR activation in lenvatinib-resistant cells is that autocrine production of EGFR ligand is increased. Thus, we measured the mRNA levels of EGFR ligand, such as EGF, TGFα, HB-EGF, EREG and EPGN, in Hep3B and LR7.5-3B cells. but the mRNA expression levels of EGF, TGFα, and HB-EGF were very small, and no difference was found between lenvatinib sensitive (Hep3B) and resistant cells (LR7.5-3B). Although mRNA expression levels of EREG and EPGN were detectable with higher amount, there was no difference between Hep3B and LR7.5-3B. According to those results, we concluded the autocrine production was not clear in the resistant cells. Our findings suggest that ROS cause enhanced EGFR activation in lenvatinib-resistant cells. Additional experiments (data not shown) involving RNA-seq analysis indicated changes in the expression levels of glutathione peroxidases, which remove ROS; these changes were verified by real-time PCR. The ROS levels were increased in resistant cells; removal of ROS by NAC led to reduced EGFR activation. EGFR is activated by ROS via oxidation20. The mechanism by which lenvatinib increases intracellular ROS is unclear.
Increased IGF1R activation by resistant cells was also observed in this study. Linsitinib, an inhibitor of INSR and IGF1R, is currently used as an experimental drug candidate for the treatment of various types of cancer18. The direct involvement of IGF1R in linsitinib resistance is unclear because this resistance could not be reversed. IGF1R is activated when tyrosine kinase inhibitors are used in lung cancer30, which may lead to resistance. When EGFR inhibition occurs in patients with lenvatinib-resistant HCC, IGF1R may be involved in the acquisition of further resistance.
In conclusion, the expression levels of RTKs—EGFR, IGF1R, and InsulinR—were increased in lenvatinib- resistant Hep3B cells. In addition, erlotinib downregulated abnormally activated ERK in lenvatinib-resistant Hep3B cells. When used in combination with lenvatinib, erlotinib restored lenvatinib sensitivity to drug-resistant HCC cell lines. These findings suggest a potential combination therapy approach for HCC.
Supplementary Information
Acknowledgements
The authors thank all investigators and staff of the participating institutions.
Abbreviations
- ACTB
β-Actin
- EGFR
Epidermal growth factor receptor
- IGF1R
Insulin-like growth factor 1 receptor
- INSR
Insulin receptor
- NAC
N-acetylcysteine
- ROS
Reactive oxygen species
- RTK
Receptor tyrosine kinase
- TUBB
β-Tubulin
Author contributions
X.H., Y.H., and S.M. conceived and designed the study. X.H., Y.H., Y.S., Y.N., and Y.K. contributed significantly to analysis and manuscript preparation. M.S. and T.S. performed the data analysis and wrote the manuscript. A.N. and M.C. helped to perform the analysis with constructive discussions. All authors read and approved the manuscript.
Funding
This work was supported by Grants-in-Aid from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (#19K08425 and 21K07899).
Data availability
Authors can confirm that all relevant data are included in the article. We agree with the policy in the journal.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-022-12076-w.
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Data Availability Statement
Authors can confirm that all relevant data are included in the article. We agree with the policy in the journal.