Abstract
Ferroptosis is a new type of cell death that has been recognized in recent years and is different from apoptosis, autophagy, and necrosis. It is mainly due to cellular iron homeostasis and lipid peroxidation of iron metabolism caused by large accumulation. There is a close correlation between ferroptosis and hepatocellular carcinoma (HCC). This study shows that the expression of the long noncoding RNA HEPFAL was reduced in HCC tissues. We found that lncRNA HEPFAL can promote ferroptosis by reducing the expression of solute carrier family 7 member 11 (SLC7A11) and increasing the levels of lipid reactive oxygen species (ROS) and iron (two surrogate markers of ferroptosis). In addition, we found that lncRNA HEPFAL increases the sensitivity of erastin-induced ferroptosis, which may be related to mTORC1, and lncRNA HEPFAL can promote the ubiquitination of SLC7A11 and reduce the stability of the SLC7A11 protein, resulting in decreased expression. Understanding these mechanisms indicates that lncRNAs related to ferroptosis are essential for the occurrence and treatment of HCC.
Subject terms: Liver cancer, Cell death
Introduction
The most common type of primary liver cancer in the world is hepatocellular carcinoma (HCC), which accounts for more than 80% of all cases. Liver cancer is the sixth most common cancer in the world and the fourth most common cancer cause of death [1]. Although significant progress has been made in the diagnosis and treatment of liver cancer and the global age-standardized incidence rate of liver cancer is slowly decreasing, the overall burden of liver cancer worldwide has increased over time, and the five-year survival rate is low at 12% [2]. The development mechanisms of HCC have gradually been discovered, and researchers have made great progress in characterizing cancer heterogeneity [3].
Long noncoding RNA is a type of transcript encoded by the genome, but most lncRNAs do not translate into protein [4]. LncRNAs in cancer mutations and disorders play a vital role in the occurrence and development of cancer. For example, lncRNAs PCA3, PCGEM1, and PCAT-1 are highly specific to prostate cancer, while more lncRNAs involved in lung cancer [5]. Studies have also shown that in HCC, lncRNAs play an important role. Various proteins related to HCC exhibit abnormal expression and interact with lncRNAs to regulate the cancer phenotype [6]. Therefore, lncRNAs have great potential as new cancer markers and therapeutic targets.
Ferroptosis is a new type of iron-dependent programmed cell death discovered by Dixon et al. [7], which is different from other forms of cell death and mainly manifests with high mitochondrial density. The cystine-glutamate antiporter system (system Xc-) and glutathione peroxidase 4 (GPX4) are critical regulators of ferroptosis [8]. System Xc- can maintain the activity of GPX4 through cystine transport [9, 10]. When ferroptosis occurs, glutathione (GSH) in the cell is consumed, leading to the inactivation of GPX4, which ultimately leads to lipid peroxidation and the production of a large number of reactive oxygen species, constituting the main mechanism leading to cell ferroptosis [11–13]. As an essential part of the Xc- system, SLC7A11 has been confirmed to be highly expressed in some cancer cells and can attenuate the ferroptosis effect caused by erastin [14]. In HCC, erastin has been verified to have anti-tumor effects, and SLC7A11 is closely related to the occurrence and development of HCC [15].
Ferroptosis plays a vital role in the occurrence and development of cancer, but its molecular mechanism in epigenetics is not yet fully understood. Ferroptosis has been confirmed to be associated with oncogenes, such as RAS and TP53 [8, 16]. Studies have shown that LINC00336 can inhibit ferroptosis in lung cancer by acting as a competitive endogenous RNA [17], LINC00618 can reduce the expression of SLC7A11 by interacting with LSH, which leads to ferroptosis of cells [18], and lncRNA P53RRA in the cytoplasm can promote the occurrence of ferroptosis by activating the P53 pathway [19]. Currently, studies on the regulation of ferroptosis by lncRNAs in tumors have only been confirmed in lung cancer [20], and there is still a lack of relevant studies in other tumors. This study aims to investigate how lncRNA HEPFAL mediates the occurrence of ferroptosis in HCC.
Materials and methods
Cell culture and transfection
HEK293T cells and PLC/PRF/5 cells were purchased from Shanghai Chinese Academy of Sciences (Shanghai, China), and HCCLM3 cells were purchased from the Cell Storage Center of Wuhan University (Wuhan, China). Cells were placed in DMEM (Gibco, #11960-044) at 37 °C in a 5% CO2 incubator with 10% fetal bovine serum (Gibco, #10099141) and 1% penicillin and streptomycin (Gibco, #15070-063). Lipofectamine 3000 (Invitrogen, #L3000-015) was used for transfection according to the product instructions.
Immunohistochemistry and HCC patient samples
The sample was cut into 4 mm sections, hybridized with an anti-SLC7A11 antibody (Proteintech, #26864-1-AP) at 4 °C, and then a DAB chromogenic kit (ZSGB-BIO, #ZLI-9018) was used to detect protein expression. Samples of HCC patients came from the First Affiliated Hospital of Wenzhou Medical University (WMU). All samples were obtained with written informed consent and passed ethical review. To ensure the balance of the number of patients with different stages of HCC and the reliability of the results, the inclusion and exclusion criteria were strictly controlled. The details are as follows. Inclusion criteria are: 1) Accurate pathological diagnosis of primary hepatocellular carcinoma; 2) Obtain complete clinicopathological and follow-up data; 3) Mainly surgical resection; 4) Willing to sign informed consent. The exclusion criteria are (1) perioperative death; (2) undergo palliative surgery; (3) have been treated with chemotherapy drugs; (4) combined with other cancers.
Western blot analysis and antibodies
The sample was added to a 10% gel for electrophoresis. After electrophoresis, the protein was transferred to the membrane (Millipore, #IPVH00010) and then hybridized with the antibody. Finally, the signal on the membrane was detected by an ECL kit (Thermo, #34096). Antibodies: GPX4 (Abcam, #ab125066), SLC7A11 (Abcam, #ab175186), ACSL4 (Abcam, #ab155282), NRF2 (Proteintech, #16396-1-AP), FSP1 (Proteintech, #20886-1-AP), β-actin (CST, #4970s), PI3K (CST,#4249s), AKT (CST,#9272s), P-AKT (CST,#4060s), and mTOR (CST,#2983s).
qRT-PCR
TRIzol reagent (Thermo, Ambion) was used to lyse the sample, total RNA was obtained, and a cDNA synthesis kit (Thermo, #K1622) was used to perform reverse transcription according to the product specification. The primer sequences are present in Table S1.
Measurement of GSH levels, ROS, and Fe2+
The GSH-Glo Glutathione Assay Kit (Promega, #V6911) was used to detect the GSH levels according to the product instructions. Dihydroethidium (Beyotime, #S0063) ROS red dye was used as a molecular probe, and FerroOrange (DOJINDO, #F374) was measured with a flow cytometer or observed under a fluorescence microscope.
Transwell migration and invasion assay
Transwell (Costar, #3422) assays were used to detect cell migration and invasion ability.
Transmission electron microscopy
A standard procedure was followed using the transmission electron microscope of Wenzhou Medical University.
Protein degradation assay
MG-132 (MCE, #HY-13259) is a proteasome inhibitor that can effectively inhibit protein degradation. CHX (MCE, #HY-12320) can hinder protein synthesis.
Construction of lentivirus and xenograft mouse models
HEPFAL overexpression lentiviruses were constructed based on the lentiviral vector pLenti-CMV-GFP-Puro, and the pLenti-CMV-GFP-Puro empty vector was used as control after transfection of cell lines for subsequent experiments. The mouse strain we used was male nude mice, six weeks old. The operation of animals was approved by the Experimental Animal Center of Wenzhou Medical University, which is in line with animal ethics.
Statistical analysis
Data analysis was performed using GraphPad Prism 8.0 and the R program (version 4.1.3). Continuous variables are presented as the mean ± standard deviation (SD) or median (interquartile range, [IQR]), while categorical variables are described as frequency(percentage). Each experiment was repeated three times. The student’s t-test or Wilcoxon rank-sum test was conducted to compare the differences between the two groups for continuous variables. One-way ANOVA or Kruskal–Wallis test was used to determine differences among more than two groups. Chi-square test or Fisher’s exact test were performed for categorical variables. Overall survival (OS) analysis was used the Kaplan–Meier (K–M) method. P < 0.05(two-tailed) indicated statistically significant.
Results
The expression of HEPFAL is correlated with SLC7A11 in HCC
The lncRNA data were downloaded through the TCGA data portal (https://portal.gdc.cancer.gov/). We performed differential expression analysis on 368 tumor tissues and 50 matched adjacent tissues by DEseq and edgeR R package and obtained 416 differentially expressed lncRNAs in HCC (Fig. S1). Subsequently, we obtained 40 ferroptosis-related genes from MalaCards (http://pathcards.genecards.org/card/ferroptosis) and obtained seven genes through differential expression analysis (Fig. S2). Through prognostic analysis of clinical data, we finally chose SLC7A11. Then, we analyzed the correlation between 416 lncRNAs and SLC7A11, and we obtained lncRNA KB-68A7.1 (ENSG00000274225.1), which is most significantly related to the key ferroptosis protein SLC7A11 in HCC. For this reason, we named it lncRNA HEPFAL (hepatocellular carcinoma ferroptosis associative lncRNA). At the same time, we analyzed the ferroptosis key protein SLC7A11 in the TCGA database and found that SLC7A11 is highly expressed in cancer tissues, and its expression is related to the prognosis of patients (Fig. S3). We found that the expression of lncRNA HEPFAL in tumor tissues was significantly lower than that in normal tissues, while SLC7A11 expression was higher in tumor tissues (Fig. 1A, B). Further, we ascertained the relationships between the expression levels of lncRNA HEPFAL and the clinicopathologic characteristics of HCC patients (Table 1). Through K–M analysis of HCC patients in TCGA, we found that the OS of patients with high expression of lncRNA HEPAL was longer than that of patients with low expression (Fig. 1C), which was consistent with the expression trend of lncRNA HEPFAL in tumor and normal tissues.
Table 1.
Characteristics total | HEPFAL Expression | P-value | ||
---|---|---|---|---|
Low (n = 184) | High (n = 184) | |||
Gender | 0.396 | |||
Female | 119 (32.34) | 64 (34.78) | 55 (29.89) | |
Male | 249 (67.66) | 120 (65.22) | 129 (70.11) | |
Age(year) | 0.535 | |||
<=60 | 175 (47.55) | 91 (49.46) | 84 (45.65) | |
>60 | 193 (52.45) | 93 (50.54) | 100 (54.35) | |
BMI | 0.302 | |||
<18.5 | 21 (6.29) | 13 (7.93) | 8 (4.71) | |
18.5-24.9 | 157 (47.0) | 80 (48.78) | 77 (45.29) | |
>=25 | 156 (46.7) | 71 (43.29) | 85 (50.00) | |
NA | 34 | |||
Adjacent Inflammation | 0.031 | |||
None | 117 (50.21) | 68 (57.14) | 49 (42.98) | |
Mild | 99 (42.49) | 44 (36.98) | 55 (48.25) | |
Severe | 17 (7.30) | 7 (5.88) | 10 (8.77) | |
NA | 135 | |||
T Stage | 0.001 | |||
T1 | 181 (49.4) | 75 (41.21) | 106 (57.61) | |
T2 | 92 (25.14) | 50 (27.47) | 42 (22.83) | |
T3 | 80 (21.86) | 50 (27.47) | 30 (16.30) | |
T4 | 13 (3.55) | 7 (3.85) | 6 (3.26) | |
NA | 2 | |||
Lymph Node Stage | 1.000 | |||
N0 | 252 (98.4) | 130 (98.48) | 122 (98.39) | |
N1 | 4 (1.56) | 2 (1.52) | 2 (1.61) | |
NA | 112 | |||
M Stage | ||||
M0 | 266 (98.5) | 133 (98.52) | 133 (98.52) | |
M1 | 4 (1.48) | 2 (1.48) | 2 (1.48) | |
NA | 98 | |||
TNM Stage | 0.001 | |||
Stage I | 171 (49.42) | 72 (41.38) | 99 (57.56) | |
Stage II | 85 (24.57) | 44 (25.29) | 41 (23.84) | |
Stage III | 85 (24.57) | 55 (31.61) | 30 (17.44) | |
Stage IV | 5 (1.44) | 3 (1.72) | 2 (1.16) | |
NA | 22 | |||
Histologic Grade | <0.0001 | |||
G1 | 55 (15.07) | 16 (8.79) | 39 (21.31) | |
G2 | 177 (48.49) | 85 (46.70) | 92 (50.27) | |
G3 | 121 (33.15) | 72 (39.56) | 49 (25.78) | |
G4 | 12 (3.29) | 9 (4.95) | 3 (1.64) | |
NA | 3 | |||
Vascular Invasion | 0.741 | |||
None | 206 (65.60) | 104 (67.53) | 102 (63.75) | |
Micro | 92 (29.30) | 42 (27.27) | 50 (31.25) | |
Macro | 16 (5.10) | 8 (5.20) | 8 (5.00) | |
NA | 54 | |||
Family History of Cancer | 0.650 | |||
NO | 207 (64.89) | 109 (66.06) | 98 (63.64) | |
YES | 112 (35.11) | 56 (33.94) | 56 (36.36) | |
NA | 49 | |||
History of Risk Factor | 0.433 | |||
Alcohol Consumption | 68 (35.60) | 36 (38.72) | 32 (32.65) | |
Hemochromatosis | 5 (2.62) | 4 (4.30) | 1 (1.02) | |
Hepatitis B | 75 (39.27) | 33 (35.48) | 42 (42.86) | |
Hepatitis C | 32 (16.76) | 16 (17.20) | 16 (16.33) | |
NAFLD | 11 (5.75) | 4 (4.30) | 7 (7.14) | |
NA | 177 | |||
Ablation Embolization | 0.491 | |||
NO | 232 (94.69) | 112 (95.73) | 120 (93.75) | |
YES | 13 (5.31) | 5 (4.27) | 8 (6.25) | |
NA | 123 | |||
Postoperative Radiotherapy | 0.829 | |||
NO | 222 (93.67) | 110 (94.02) | 112 (93.33) | |
YES | 15 (6.33) | 7 (5.98) | 8 (6.67) | |
NA | 131 | |||
Recurrence | 0.871 | |||
Extrahepatic Recurrence | 42 (23.87) | 19 (22.35) | 23 (25.28) | |
Locoregional Recurrence | 52 (29.54) | 27 (31.76) | 25 (27.47) | |
Intrahepatic Recurrence | 72 (40.91) | 35 (41.18) | 37 (40.66) | |
New Primary Tumor | 10 (5.68) | 4 (4.71) | 6 (6.59) | |
NA | 192 | |||
Cancer status | 0.380 | |||
With tumor | 150 (42.74) | 78 (45.09) | 72 (40.45) | |
Tumor free | 201 (57.26) | 95 (54.91) | 106 (59.55) | |
NA | 17 | |||
SLC7A11 Expression | 368 | 0.460 (1.209) | 0.145 (0.332) | 0.001 |
Values are presented as number (%) or median (IQR).
NA not available, NAFLD non-alcohol fatty liver disease.
To further clarify the role of lncRNA HEPFAL and SLC7A11 in HCC, we collected tumor and normal tissue samples from 60 HCC patients at WMU hospital. The expression of lncRNA HEPFAL was determined by real-time PCR, and the results were consistent with the TCGA database (Fig. 1D, E). According to K–M analysis, the OS of patients with high expression of lncRNA HEPFAL was longer than that of patients with low expression (Fig. 1F).
Then, we selected eight matched samples to detect the expression of SLC7A11 by real-time PCR and western blot, and the results showed that the samples with high expression of lncRNA HEPFAL had lower expression of SLC7A11 (Fig. 1G–I, Fig. S8). We also confirmed this by immunohistochemistry (IHC) of paired tissues (Fig. 1J). The above results indicate that the expression of SLC7A11 in HCC is related to lncRNA HEPFAL.
The overexpression of HEPFAL decreases SLC7A11 expression and inhibits tumor proliferation and migration ability
To verify the regulation of lncRNA HEPFAL on SLC7A11, we detected the expression levels of lncRNA HEPFAL and SLC7A11 in liver cancer cell lines (Fig. 2A–C, Fig. S9). Based on the above results, we chose LM3 and PLC cells for further research. To reveal the biological effects of HEPFAL, we used lentiviral vectors to stably overexpress HEPFAL in LM3 and PLC cells and then tested the efficiency of overexpression (Fig. 2D–H, Fig. S4). We found that after overexpression of HEPFAL, the expression of SLC7A11 in cells decreased (Fig. 2F, I, Fig. S10, 11). In addition, we performed wound healing experiments and transwell assays. The results showed that cells have strong migration and invasion abilities in the case of empty vectors (Fig. 2K). Wound healing experiments also showed the same result (Fig. 2J). The number of colonies of LM3 and PLC cells stably overexpressing lncRNA HEPFAL was less than that of the control group (Fig. S6). The above results indicate that HEPFAL may regulate ferroptosis through SLC7A11 and inhibit tumor proliferation and migration.
The overexpression of HEPFAL promotes ferroptosis
As mentioned earlier, HEPFAL may induce changes in the tumor phenotype through ferroptosis. The accumulation of lipid ROS in cells is one of the characteristic manifestations of ferroptosis [21]. After overexpression of HEPFAL, we used a superoxide anion fluorescent probe and found that HEPFAL increased the total ROS level in cells (Fig. 3A). The uptake of extracellular cystine is mainly mediated by SLC7A11, and cystine is used as a synthetic raw material for glutathione (GSH), a reducing substance in cells [22]. Therefore, we tested the GSH level in the cells and found that after transfection of the HEPFAL overexpression vector, the level of GSH in the cells decreased (Fig. 3B, C). We observed that the cells overexpressing HEPFAL showed changes in mitochondrial morphology compared to the empty vector and normal cells, including smaller size, the disappearance of mitochondrial cristae, and increased density of mitochondrial membrane, and the nuclear membrane was still intact (Fig. 3D). Meanwhile, the western blot results showed that the levels of the ferroptosis inhibitors SLC7A11 and GPX4 were decreased in cells stably overexpressing HEPFAL. Ferroptosis promoters, including acyl-coenzyme A synthetase long-chain family member 4 (ACSL4) and nuclear factor erythrid-2 related factor (NRF2), were increased due to overexpression of HEPFAL, and the change in ferroptosis suppressor protein 1 (FSP1) was not obvious (Fig. 3E, Fig. S12). These results indicate that the overexpression of HEPFAL impairs the activity of SLC7A11 in the cell and leads to the accumulation of lipid ROS, ultimately leading to ferroptosis.
The overexpression of HEPFAL makes cells susceptible to ferroptosis
Erastin is a small molecule compound that can induce ferroptosis, mainly through system Xc- [23]. After treating cells with erastin, we found cell death in both groups, but the survival rate of cells overexpressing HEPFAL was significantly lower than that of empty vector (Fig. 4A). Subsequently, we detected the level of GSH in the cell. It is worth noting that the glutathione level in the cells was lower in the cells overexpressing HEPFAL (Fig. 4C, D). We also tested the total intracellular ROS levels. The results show that the overexpression of HEPFAL increased the ROS levels induced by erastin (Fig. 4E, F). The process of cell ferroptosis is accompanied by the accumulation of many iron ions. Fe3+ enters the cell through TfR and is reduced to Fe2+ and stored in ferritin. Excess iron ions can generate ROS through the Fenton reaction [24]. In LM3 cells overexpressing HEPFAL, Fe2+ presented a higher level (Fig. 4G). This shows that after overexpression of HEPFAL, cells are more prone to ferroptosis. Transmission electron microscope also showed the same result (Fig. 4B). Recently, a study showed that inhibiting PI3K-AKT-mTOR signaling can increase the ferroptosis sensitivity of RSL3 to cancer cells [25]. Therefore, we detected the expression level of the PI3K-AKT-mTOR signaling pathway. The results showed that the PI3K-AKT-mTOR signaling pathway was inhibited after the cells overexpressing HEPFAL were treated with erastin (Fig. 4H, Fig. S13), which indicates that lncRNA HEPFAL increases sensitivity to erastin-induced ferroptosis and may be related to the PI3K-AKT-mTOR signaling pathway. To determine the complexes associated with ferroptosis, we tested the effects of cells on erastin-induced ferroptosis by CCI-779 (mTORC1 inhibitor) and JR-AB2-011 (mTORC2 inhibitor). The results showed that the ferroptosis of cells treated with CCI-779 was more serious than that of the control group and JR-AB2-011 group (Fig. S5). The level of GSH content and the level of total intracellular ROS shows the same results (Fig. 4I–L). The above results suggest that the increased sensitivity to erastin-induced ferroptosis caused by lncRNA HEPFAL may be mediated by mTORC1.
HEPFAL regulates ferroptosis by SLC7A11
As mentioned earlier, we found that overexpression of HEPFAL downregulated the gene and protein levels of SLC7A11. Therefore, we transfected the vector overexpressing SLC7A11 into cells stably overexpressing HEPFAL. Consistent with the previous results, the migration and invasion ability of cells overexpressing HEPFAL decreased, while the migration and invasion ability of cells overexpressing HEPFAL and SLC7A11 was significantly restored (Fig. 5B). The same result was also shown in the wound healing experiment (Fig. 5A). In addition, the cells overexpressing HEPFAL and SLC7A11 demonstrated an increased number of colonies (Fig. S6). The results of total intracellular ROS levels (Fig. 5C, D) and GSH levels (Fig. 5E, F) also showed the same trend. Moreover, in the cells overexpressing HEPFAL and SLC7A11, the Fe2+ level was reduced to a certain extent (Fig. 5G). Western blot analysis showed that after overexpression of HEPFAL and SLC7A11, the expression of NRF2 and ACSL4 increased, while the expression of GPX4 decreased, and the changing trend of FSP1 was not obvious (Fig. 5H, Fig. S14). The above results indicate that the ferroptosis caused by overexpression of HEPFAL is mediated by SLC7A11.
HEPFAL regulates SLC7A11 through ubiquitination
To explore the specific mechanism by which HEPFAL regulates SLC7A11, we used SLC7A11 immunofluorescence and found that SLC7A11 is localized in the cytoplasm. Consistent with previous results, SLC7A11 expression was lower in cells overexpressing HEPFAL (Fig. 6A). We predicted the subcellular location of HEPFAL through the lncLocator website (http://www.csbio.sjtu.edu.cn/bioinf/lncLocator/) and found that the predicted location of HEPFAL was in the cytoplasm (Fig. S7). LncRNAs regulate protein levels by interacting with proteins [26]. Then we detected by western blot that the expression of SLC7A11 was reduced in cells overexpressing HEPFAL that were not treated with MG-132, and interestingly, in the overexpressing HEPFAL cells treated with MG-132, the expression of SLC7A11 returned to the same level as that in normal cells (Fig. 6B, Fig. S15). This interesting result suggests that HEPFAL may modulate the expression of SLC7A11 through ubiquitination. To further verify this conjecture, we performed an immunoprecipitation experiment to extract the endogenous SLC7A11 protein from cells (Fig. 6C, Fig. S16) and detected the ubiquitination of the SLC7A11 protein (Fig. 6D, Fig. S17). We found that in cells overexpressing HEPFAL, the ubiquitination of endogenous SLC7A11 protein increased. This proves our previous conjecture that overexpression of HEPFAL resulted in a decrease in the expression of SLC7A11, which may be caused by ubiquitination modification. Then, we measured the half-life of the SLC7A11 protein (Fig. 6E, F, Fig. S18) and found that the half-life (7.6 h) of SLC7A11 protein-overexpressing HEPFAL cells was lower than that of normal cells (9.8 h). In summary, these findings indicate that HEPFAL regulates SLC7A11 through ubiquitination modification, which affects the stability of the SLC7A11 protein. However, its specific mechanism of action is still unclear.
HEPFAL inhibits tumor growth of cell xenografts in nude mice
The tumor volume and weight of the HEPFAL overexpression group were significantly reduced (Fig. 7A–C). In addition, we found that the expression level of SLC7A11 in the overexpressing HEPFAL group was lower than that of the control group, and the number of tumor cells in the overexpression HEPFAL group was the lowest. In contrast, the number of tumor cells in the control group was higher (Fig. 7G). As an essential part of ferroptosis research, erastin treated the mouse models of subcutaneous tumors in the control and HEPFAL group. The results showed that the mice in the control group and the HEPFAL overexpression group both had therapeutic effects on the tumor (Fig. 7D, E). However, the tumor treatment effect of the group of HEPFAL overexpression was more significant (Fig. 7F), which also verified our previous in vivo experiments that HEPFAL can increase the sensitivity of erastin-induced ferroptosis. The western blot results showed that compared with the control group, the expression levels of SLC7A11 and GPX4 decreased, while the expression levels of NRF2 and ACSL4 increased, and there was no significant change in FSP1 (Fig. 7H, I, Fig. S19, 20). These results are consistent with the above in vitro experimental results.
Discussion
LncRNAs have a dynamic role in the process of transcription and translation and are closely related to cancer progression [27]. This study reported that lncRNA HEPFAL, upstream of the key ferroptosis gene SLC7A11, regulates ferroptosis in liver cancer cells. We found in the TCGA database that lncRNA HEPFAL is significantly lower in HCC tissues than in normal tissues. Through the analysis of differences, we found that it is significantly related to cell ferroptosis. Therefore, we collected 60 patient samples with cancer and normal tissues and found that the expression of lncRNA HEPFAL in HCC tissues was lower than that in normal liver tissues, which was in line with the trend in the TCGA database. In addition, in vitro and in vivo experiments verified that lncRNA HEPFAL reduces the migration and invasion of liver cancer cells and promotes ferroptosis of liver cancer cells. This indicates that lncRNA HEPFAL is directly related to ferroptosis and its molecular mechanism. Recent studies have found that ferroptosis suppressor protein (FSP1) plays a role in ferroptosis and that FSP1 can inhibit ferroptosis by reducing CoQ [28, 29]. However, in our study, the expression of FSP1 did not appear to have changed significantly. This may be because FSP1 inhibits ferroptosis in parallel with the SLC7A11-GPX4 axis, and the lncRNA HEPFAL may mainly act on SLC7A11. The changes in NRF2, ACSL4, and GPX4 revealed the influence of lncRNAs on the ferroptosis process. In addition, we found that lncRNA HEPFAL can increase the sensitivity of cells to erastin-induced ferroptosis. Erastin is a ferroptosis inducer that mainly acts on system Xc-, and this result further explains the regulatory effect of lncRNA HEPFAL on SLC7A11. In normal cells, system Xc- acts as a cystine/glutamate transporter, transporting a cysteine molecule into the cell to exchange for a glutamate molecule in the cell [30]. SLC7A11 is an important part of system Xc-. Cystine taken up into cells by SLC7A11 is converted into cysteine by a reduction reaction that consumes NADPH, and cysteine is a synthetic raw material for GSH [31, 32]. Our study found that lncRNA HEPFAL acts on SLC7A11 and reduces its expression, which leads to a decrease in the amount of cystine transported into the cell, resulting in a decrease in the level of GSH in the cell and thereby effectively inhibiting the ferroptotic function of GPX4 and eventually leading to the ferroptosis of tumor cells. In addition, we found that the PI3K-AKT-mTOR signaling pathway plays a role in this process. We believe that PI3K can activate AKT through downstream molecules and that AKT can activate mTOR through phosphorylation. mTOR contains two complexes, mTORC1 and mTORC2. mTORC1 activated by AKT mainly regulates various molecules, such as SLC7A11, GPX4 and ferroportin, through NRF2 to regulate ferroptosis. We found that erastin-induced ferroptosis may occur mainly through mTORC1, which may be related to the effect of mTORC1 on SLC7A11 and GPX4. Based on the above experimental results, we speculate that lncRNA HEPFAL activates mTORC1 through the PI3K-AKT-mTOR signaling pathway to act on SLC7A11, increasing the sensitivity to erastin-induced ferroptosis. The specific mechanism needs further experimental verification. Recent studies have pointed out that P53 can promote ferroptosis by transcriptionally inhibiting the expression of SLC7A11. Further research showed that P53 might suppress the expression of SLC7A11 by downregulating the H2Bub1 level of its gene regulatory region. These studies indicate that the regulation of SLC7A11 may be related to modifications such as methylation, acetylation, and ubiquitination [16, 33, 34]. In addition, studies have pointed out that P53-mediated ferroptosis is related to lncRNAs [19]. LncRNAs exert their effects by interacting with proteins [35–37]. In this study, we found that the lncRNA HEPFAL was localized in the cytoplasm and decreased in the expression level of the transmembrane protein SLC7A11. Therefore, we speculated that SLC7A11 might undergo protein degradation at the translation level. The expression level of endogenous SLC7A11 in cells was detected, and it was found that there was no difference in the expression level of SLC7A11 after the application of the proteasome inhibitor MG-132, while the ubiquitination site was detected. The protein level of SLC7A11 was significantly increased, which indicated that SLC7A11 was probably degraded by ubiquitination under the action of lncRNA. After applying CHX, we also verified that the stability of SLC7A11 protein in cells overexpressing lncRNA HEPFAL decreased and was more prone to degradation, indicating that lncRNA HEPFAL may be degraded by ubiquitination-mediated SLC7A11 protein. The specific molecular mechanism needs to be further studied. In addition, some lncRNAs have also been shown to be independent biomarkers for the prognosis of HCC patients, such as lncRNA PICSAR, LINC01093, and lncRNA H19 [38–40]. Our above experiments show that lncRNA HEPFAL is closely related to the occurrence and development of ferroptosis in HCC and affects the occurrence and development of tumors. Therefore, we believe that with the further deepening of molecular mechanisms, lncRNA HEPFAL has great potential as a therapeutic target.
In general, our research found that lncRNA HEPFAL promotes the ubiquitination of SLC7A11, resulting in a decrease in GSH production, which in turn affects the activity of GPX4 and ultimately leads to the occurrence of ferroptosis (Fig. 8). We discovered a novel lncRNA and verified its significant correlation with patient prognosis in hepatocellular carcinoma. It also explained that the lncRNA HEPFAL mediates ferroptosis in hepatoma cells by regulating the ferroptosis key protein SLC7A11 through ubiquitination modification. This provides a new understanding of hepatocellular carcinoma’s occurrence and development mechanism. LncRNA HEPFAL has the potential as a target for the diagnosis and treatment of HCC.
Availability of data and materials
The data used to support the findings of this study are available from the corresponding author upon request.
Supplementary information
Acknowledgements
This study was supported by grants from the National Natural Science Foundation of China (82072685, 81770409, 81703310). The results shown here are in whole or part based upon data generated by the TCGA Research Network (https://www.cancer.gov/tcga).
Author contributions
B.Z.: Data curation; Investigation; Writing-original draft; Formal analysis. W.B.: Data curation; Investigation; Formal analysis. S.Z.: Investigation; Formal analysis. B.C.: Methodology; Resources. Xiang Zhou.: Methodology; Resources. J.Z.: Methodology; Resources. Z.S.: Methodology; Resources. T.Z.: Methodology; Resources. Z.C.: Methodology; Resources. L.W.: Methodology; Resources. Y.W.: Conceptualization; Funding acquisition; Supervision; Writing—review & editing. Xiangtao Zheng: Conceptualization; Funding acquisition; Supervision; Formal analysis; Writing—review & editing. G.C.: Conceptualization; Funding acquisition; Supervision; Formal analysis; Writing—review & editing.
Competing interests
The authors declare no competing interests.
Footnotes
Edited by George Calin
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Xiangtao Zheng, Email: vaszhengxiangtao@126.com.
Gang Chen, Email: chen.gang@wmu.edu.cn.
Yi Wang, Email: wang.yi@wmu.edu.cn.
Supplementary information
The online version contains supplementary material available at 10.1038/s41419-022-05173-1.
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Supplementary Materials
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.