Summary
This study was designed to explore the roles of CREB3L4 in the pathogenesis and drug resistance of hepatocellular carcinoma (HCC). The proliferation of HCC lines was determined in the presence of CREB3L4 over-expression and silencing. Chromatin immunoprecipitation (ChIP) assay and dual-luciferase reporter assay were performed to screen the potential target of CREB3L4 on mTORC1. Xenografted tumor model was established to define the regulatory effects of CREB3L4 in the tumorigenesis. Then we evaluated the roles of CREB3L4 in chemosensitivity to sorafenib treatment. CREB3L4 significantly induced the HCC cell proliferation by modulating the activation of mTROC1-S6K1 signaling pathway via binding with RHEB promoter. Moreover, CREB3L4 dramatically inhibited the chemosensitivity to sorafenib treatment via up-regulating RHEB-mTORC1 signaling. CREB3L4 promoted HCC progression and decreased its chemosensitivity to sorafenib through up-regulating RHEB-mTORC1 signaling pathway, indicating a potential treatment strategy for HCC through targeting CREB3L4.
Subject areas: Drugs, Molecular biology, Cancer
Graphical abstract
Highlights
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CREB3L4 is associated with poor prognosis in HCC
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CREB3L4 promotes proliferation of HCC through RHEB/mTORC1 axis
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CREB3L4 reduces chemosensitivity of sorafenib in HCC through RHEB/mTORC1 axis
Drugs; Molecular biology; Cancer
Introduction
The main pathways involved in the pathogenesis of hepatocellular carcinoma (HCC) include Hedgehog, vascular endothelial growth factor (VEGF), hepatocyte growth factor/c-MET, WNT/b-catenin, mitogen-activated protein kinase (MAPK)/ERK, as well as PI3K/AKT/mTOR.1,2 Among these pathways, particular interests have been paid to the PI3K/AKT/mTOR pathway because there is constitutive activation in many HCC patients with aggressive tumor progression and reduced survival.3 Moreover, it may decrease the susceptibility of HCC cells to the sorafenib-based target therapy.4 Up to now, several upstream elements have been reported to regulate the mTORC1 pathway including RHEB and TSC1/TSC2 complex. TSC1/TSC2 complex, as the upstream of RHEB, could inhibit the RHEB-mediated phosphorylation of mTORC1,5 which was crucial for HCC pathogenesis and progression, as well as drug resistance.
Cyclic AMP response element binding (CREB) protein, first identified in 1987 during the investigation for nuclear proteins binding to a stretch of DNA, is over-expressed in many cancers by acting as a transcriptional factor entailing the protein-DNA and protein-protein interactions in a certain signaling pathways (e.g., Ras/MAPK, PKA, and PI3K/AKT).6 Recently, CREB3 family comprised five members in mammals including CREB3, CREB3L1, CREB3L2, CREB3L3, and CREB3L4 have been reported to involve in an overall range of functions such as metabolism, survival, differentiation and tumorigenesis.7 Among these members, CREB3L4, also known as CREB4, was first described in 2002 by two independent research groups.8,9 Its main function is related to the proliferation of prostate cancers promoted by androgen receptor and IRE1-ɑ. In addition, downstream target genes of CREB3L4 were closely associated with the cellular proliferation, which then resulted in the tumorigenesis.10 Aberrant CREB3L4 expression had been observed in prostate cancer and gastric cancer. However, rare studies have focused on the mechanism of how CREB3L4 involves in the HCC except one study, in which Wang et al. indicated that CREB3L4 promoted the angiogenesis of tumor progression in gastric cancer via regulating vascular endothelial growth factor A (VEGFA).11
Sorafenib is one of the main targeted drugs for the systemic treatment of advanced HCC. However, only one-third of patients respond to sorafenib, with the majority showing recurrence within 6 months.12 To date, HCC sensitivity to sorafenib involves hypoxia-related pathway, energy metabolism, natural compounds and nano-particles, autophagy as well as microRNAs.13,14,15,16 Nevertheless, no studies have focused on the effects of CREB3L4 on the sorafenib sensitivity in HCC. This study was designed to investigate the roles of CREB3L4 expression in the pathogenesis and drug resistance of HCC cells, and the function of the mTORC1 pathway in this process.
Results
CREB3L4 up-regulation was positively correlated with a poor prognosis among HCC patients
The Cancer Genome Atlas (TCGA) database showed significant up-regulation of CREB3L4 mRNA in HCC tissues compared with non-cancerous liver tissues (Figure 1A). Western blot analysis and IHC results showed that the CREB3L4 protein was also significantly up-regulated in HCC tissues compared with the matched normal tissues (Figures 1B–1F). In addition, IHC results further confirmed a positive association between CREB3L4 expression and the TNM stages of HCC (Figure 1G). Meanwhile, HCC patients with a high CREB3L4 expression showed a shorter overall survival than the counterparts with low CREB3L4 expression (Figure 1H).
CREB3L4 promoted cellular proliferation and colony formation of HUH7 cells and Hep3B cells
To investigate the roles of CREB3L4 in HCC progression, we determined its basal expression in HUH7 and Hep3B cells (Figures S2A and S2B). Loss-of-function and gain-of-function cellular models of CREB3L4 were established based on HCC cells using shCREB3L4 plasmid and CREB3L4 plasmid, respectively. The construction of loss-of-function model (Figures 2A and 2B) and gain-of-function (Figures 2C and 2D) were verified by real-time PCR and western blot analysis. CCK-8 assay (Figure 2E), EdU staining (Figure 2G), and colony formation assay (Figure 2I) showed dramatical decrease in the proliferation of HCC cells in CREB3L4 loss-of-function cellular model. The proliferation of HUH7 and Hep3B cells was significantly increased in the presence of CREB3L4 over-expression in HCC cells (Figures 2F, 2H, and 2J). Both the loss-of-function and gain-of-function of CREB3L4 cellular models demonstrated that CREB3L4 promoted the proliferation of HUH7 and Hep3B cells.
CREB3L4 promoted the HCC proliferation by up-regulating mTORC1 signaling pathway in HCC cells
To investigate the signaling pathway participated in the cellular proliferation induced by CREB3L4, we determined the protein expression in the classical signaling pathways implicated with cellular proliferation (i.e., AKT, MAPK and mTORC1). Our data showed that CREB3L4 over-expression did not activate the AKT and MAPK signaling pathway (data not shown). Whereas, its over-expression could significantly up-regulate the phosphorylation of mTROC1 and its downstream elements such as S6K1, S6 and 4E-BP1 (Figure 3A). Consistently, CREB3L4 knockdown triggered significant inhibition in mTROC1 signaling pathway and the downstream elements (Figure 3B). To investigate how CREB3L4 modulated the activation of mTORC1 signaling pathway, HUH7 and Hep3B cells were incubated with the rapamycin serving as a specific inhibitor for blocking the mTORC1 signaling pathway. Up-regulation of mTORC1 signaling pathway mediated by CREB3L4 was significantly inhibited in the presence of rapamycin (Figure 3C). In addition, rapamycin pre-treatment could reverse the proliferation of HCC cells promoted by CREB3L4, which was featured by decreased cellular viability (Figure 3D) and colony formation (Figure 3E). IHC indicated no significant differences between the EdU-stained cell number between the mock group treated with rapamycin and the CREB3L4 group treated with rapamycin (Figure 3F). Combination index values confirmed that CREB3L4 knockdown showed synergistic effects on rapamycin (Figure S3A). All these confirmed that CREB3L4 promoted the proliferation of HCC cells via up-regulating the mTORC1 signaling pathway.
CREB3L4 up-regulated mTORC1 signaling pathway via enhancing the transcriptional activity of RHEB
It has been well known that mTORC1 is activated by small GTPase RHEB as the active GTP-bound form of RHEB could interact with mTORC1 and allosterically switch on mTOR kinase activity (22). Besides, based on the TCGA database, we found a positive correlation between RHEB and CREB3L4 (data not shown). Therefore, we speculated that RHEB gene was the target of CREB3L4 in HCC cell lines. To our expectation, RHEB mRNA and protein expression showed significant up-regulation in the presence of CREB3L4 over-expression, while CREB3L4 knockdown significantly down-regulated the expression of RHEB mRNA and protein (Figures 4A–4D). As CREB3L4 is a transcriptional regulator, we then investigated the regulation of CREB3L4 on the transcriptional activity of RHEB. The binding motif of CREB3L4 at the promoter of RHEB and the primer sequences for chromatin immunoprecipitation (ChIP) assay were showed in Figure 4E. ChIP assay indicated that CREB3L4 could bind with the promoter of RHEB (Figure 4F). Besides, dual-luciferase assay showed that CREB3L4 could significantly up-regulate the transcriptional activity of RHEB in HCC cells (Figure 4G). Finally, RHEB knockdown reversed the promoting effects of CREB3L4 on the proliferation of cancer cells (Figures S4A and S4B). All these indicated that CREB3L4 promoted the activation of mTORC1 signaling pathway through up-regulating the transcriptional activity of RHEB.
CREB3L4 decreased the chemosensitivity of HUH7 cells and Hep3B cells to sorafenib by up-regulating RHEB-mTORC1 axis
CREB3L4 over-expression dramatically reduced the HCC cell chemosensitivity to sorafenib, while CREB3L4 silencing significantly increased the chemosensitivity of HCC cells to sorafenib (Figures 5A–5D). Similarly, the sorafenib-treated HCC cells with overexpression of CREB3L4 showed significant increase in cell proliferation and colony formation compared with the mock-Sorafenib or shNC-Sorafenib group. HCC cells with CREB3L4 silencing showed significant decrease in cell proliferation and colony formation compared with the mock-Sorafenib or shNC-Sorafenib group (Figures 5E and 5F). Combination index values confirmed that CREB3L4 knockdown showed synergistic effects on sorafenib (Figure S5A). To investigate the potential mechanisms involved in the decreased chemosensitivity of HCC cells to sorafenib, we then determined the expression of proteins in the RHEB-mTORC1 signaling axis. Western blot showed remarkable down-regulation in the expression of RHEB, phosphorylation of mTORC1, S6K1 and S6 in sorafenib-treated HCC cells with CREB3L4 knockdown (Figures 5G and 5H). Thus, CREB3L4 decreased HCC chemosensitivity to sorafenib treatment through up-regulating RHEB-mTORC1 axis.
CREB3L4 promoted tumorigenesis and decreased chemosensitivity of HCC to sorafenib in xenografted tumor models
To further verify the roles of CREB3L4 in progression and chemosensitivity of HCC under in vivo conditions, we constructed HCC xenografted tumor models based on LV-shCREB3L4 and LV-shNC HCC cell lines. HCC xenografted models established based on LV-shCREB3L4 transfected cells showed significant decrease in the tumor volume and tumor weight compared with those with models established based on LV-shNC transfected cells (Figure 6A). Knockdown of CREB3L4 in the xenografts models based on injection of LV-shCREB3L4 transfected cells could significantly inhibit the proliferation of HCC cells (Figure 6B). RHEB-mTORC1 axis was significantly down-regulated in LV-shCREB3L4 xenografted models compared with that of LV-shNC xenografted models (Figure 6C). Besides, compared with the non-cancerous liver tissues, the expression of CREB3L4 and RHEB/mTORC1 was significantly up-regulated in human HCC specimens (Figure 6D). All these data showed that CREB3L4 may promote HCC tumorigenesis through up-regulating RHEB-mTORC1 axis.
To determine the effects of CREB3L4 on the HCC chemosensitivity to sorafenib in vivo, the xenografted LV-shCREB3L4 or LV-shNC tumor models were treated with sorafenib or PBS, respectively. Our data showed that CREB3L4 could significantly decrease the chemosensitivity of HCC to sorafenib, which was featured by significant decrease in the tumor volume and tumor weight in the shCREB3L4-Sorafenib group compared with the other three groups, especially the shNC-Sorafenib group (all p < 0.05, Figure 6E).
Discussion
Aberrant CREB3L4 expression is associated with the pathogenesis of HCC, prostate cancer and gastric cancer, but its targets in the pathogenesis of these cancers are still not well defined. Up to now, only one study indicated that CREB3L4 involved in the tumor progression in gastric cancer via modulating VEGFA expression.11 Our study, for the first time, showed that CREB3L4 could bind with the promoter of RHEB in the nucleus of HCC cells, which then induced the transcriptional activity of RHEB and subsequent activation of mTORC1-S6K1 axis. This process was proved to be crucial for HCC tumorigenesis and decreased chemosensitivity to sorafenib.
CREB3L4, as a member of the basic leucine zipper (bZIP) transcription factor, is reported to involve in many physiological and pathological processes by regulating the transcriptional activity of target genes.17 It has been recognized as a marker for predicting the prognosis of human cancers because of its high expression in prostate cancer, gastric cancer, and HCC, triggering excessive proliferation of cancer cells.18 In prostate cancer, CREB3L4 is considered to facilitate the prostatic cancer cell proliferation via interacting with the androgen receptor.19 Besides, high CREB3L4 is overexpressed in prostate cancer and gastric cancer patients with a poor overall survival.8 Consistent with these literatures, our data showed that over-expression of CREB3L4 enhanced the cell growth of HUH7 and Hep3B cells, while its knockdown impeded cell proliferation and attenuated cell motility. Our data showed that CREB3L4 expression was significantly up-regulated in HCC tissues compared with matched non-cancerous liver tissues. In addition, exogenous CREB3L4 inhibition in vivo significantly inhibited the proliferation of HCC cells, indicating that CREB3L4 could function as a tumor promoter in HCC.
The exact mechanisms of how CREB3L4 involves in the pathogenesis of malignancies are still not well defined, due to a lack of outstanding researches. Qi et al. reported that the CREB highly expressed in prostate tumors associated with the androgen receptor signaling pathway.8 For the mechanism, the CREB3L4 could bind to the promoter of VEGFA gene.8,11 Indeed, VEGF is one of the main pathways involved in the pathogenesis of HCC as it triggers the angiogenesis and vascular permeability of cancer cells, as well as cellular proliferation.20 In our study, we focused on the potential association between CREB3L4 and PI3K/AKT/mTOR pathway in the HCC pathogenesis as it is constitutively activated in a significant proportion of HCC patients, together with significant upregulation in the HCC tissues compared with the adjacent tissues according to our clinical experience and bioinformatic analysis. Therefore, we established over-expression and silencing of CREB3L4 cellular and animal models, and then investigated the potential regulation on the mTORC1 signaling pathway.
Cytoplasmic intermediates (e.g., AKT/MTOR and RAS/MAPK) and differentiation cascades (e.g., Wnt/beta catenin and Notch) have been reported to be deregulated in human HCC.21 The mTORC1 signaling pathway is essential for the HCC progression as its over-activation can trigger excessive proliferation and metastasis.22 The phosphorylation of the key substrate molecules of mTORC1 (i.e., S6K1 and the eukaryotic translation initiation protein 4E-BP1) is crucial for the protein translation for cellular proliferation, metabolism, and metastasis of HCC cancer cells.23,24 Therefore, inhibiting the activation of mTORC1 signaling pathway in HCC cells can effectively inhibit the tumorigenesis of HCC. It has been well acknowledged that PI3K/Akt signaling pathway is a crucial upstream signaling pathway for mTOR1.25 AKT signaling pathway-mediated protein synthesis and cellular proliferation could reach the GTPase-activating protein (GAP) TSC1/2.26 The phosphorylation of TSC2 would trigger the deactivation of TSC complex, which was designated as a GAP complex consisting of TRE2-BUB2-CDC16 domain family member 7 (TBC1D7) and TSC1/2. In contrast, the inactivation of TSC2 would enhance the activation of RHEB that directly switched on the assembly of mTORC1, which then triggered the protein synthesis that may involve in the pathogenesis and progression of HCC. Our data showed that CREB3L4 could enhance the transcriptional activity of RHEB by targeting the promoter of RHEB gene. Upon the activation of RHEB, the mTORC1 signaling pathway was significantly up-regulated, yielding more synthesized protein for the proliferation of HCC cells (Figure 6F). Previous study showed that CREB3L4 promoted the migration and invasion of gastric cancer and prostate cancer.27 However, in our preliminary experiments, the effects of CREB3L4 on the migration and invasion of HCC were not stable. In the future, more attempts should be given to it.
As a multi-kinase inhibitor that induces apoptosis, attenuates angiogenesis and inhibits tumor cell proliferation,28 sorafenib has been commonly used as the first-line chemotherapy drug for advanced HCC treatment.29 However, the effect of most patients with sorafenib treatment is unsatisfactory due to chemoresistance.30,31 One of the major mechanisms is the over-activation of PI3K/AKT/mTOR signaling pathway.14 Previous studies showed that sorafenib combined with mTORC1 inhibitor therapy can significantly enhance chemosensitivity in HCC patients.32,33 This implied that mTORC1 pathway played a pivotal role in the chemoresistance of HCC cells to sorafenib. In this study, CREB3L4 could significantly promote the activation of mTORC1 signaling pathway. Thus, we further investigated the regulatory effects of CREB3L4 on the chemosensitivity of HCC cells treated with sorafenib. Our study showed that CREB3L4 can significantly decrease the chemosensitivity of HCC cells to sorafenib. This indicated that the combination of CREB3L4 and sorafenib may benefit to the HCC patients, as CREB3L4 may yield to increased chemosensitivity of HCC cells to the sorafenib. In the future, more studies are required to identify the efficiency of CREB3L4 as a new therapeutic target of HCC, together with the appropriate application of anti-cancer therapy for the patients with high CREB3L4 expression.
Conclusions
CREB3L4 was significantly up-regulated in HCC tissues and cell lines. High CREB3L4 expression was correlated with poor prognosis in HCC. CREB3L4 promoted tumorigenesis of HCC by up-regulating RHEB-mTORC1 axis. In addition, CREB3L4 significantly decreased the HCC chemosensitivity to sorafenib via activating RHEB-mTORC1 axis under in vitro and in vivo conditions. Therefore, CREB3L4 may serve as a new therapeutic target of HCC, which provides a novel treatment strategy for HCC by inhibiting CREB3L4/RHEB/mTORC1 axis.
Limitations of the study
For the limitation of the study, we did not utilize the inhibitor of mTORC1 signaling pathway in the animal models, with which to investigate whether CREB3L4 could facilitate malignancy through activating mTORC1 pathway, or reduce the sensitivity of cancer cells to sorafenib. In addition, there is a lack of molecular validation on the roles of mTORC1 signaling pathway in HCC patients with or without sorafenib resistance. In the future, we will focus on this.
STAR★Methods
Key resources table
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
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Antibodies | ||
Phospho-mTOR (Ser2448) | Cell Signaling Technology | Cat#5536S; RRID: AB_2792875 |
mTOR | Cell Signaling Technology | Cat#2983S; RRID: AB_2105650 |
Phospho-Drosophila p70 S6 Kinase (Thr398) | Cell Signaling Technology | Cat#9209S; RRID: AB_2269804 |
p70 S6 Kinase | Cell Signaling Technology | Cat#2708S; RRID: AB_562183 |
Phospho-S6 Ribosomal Protein (Ser235/236) | Cell Signaling Technology | Cat#4858S; RRID: AB_2146236 |
S6 | Cell Signaling Technology | Cat#2317S; RRID: AB_2238583 |
RHEB | Cell Signaling Technology | Cat#13879S; RRID: AB_2721022 |
Phospho-4E-BP1 (Thr37/46) | Cell Signaling Technology | Cat#2855S; RRID: AB_560835 |
4E-BP1 | Cell Signaling Technology | Cat#9644S; RRID: AB_2097841 |
CREB3L4 | Proteintech | Cat No. 13630-1-AP; RRID: AB_2276550 |
HA | Proteintech | Cat No. 51064-2-AP; RRID: AB_11042321 |
Ki67 | Proteintech | Cat No. 27309-1-AP; RRID: AB_2756525 |
GAPDH | Proteintech | Cat No. 60004-1-Ig; RRID: AB_2107436 |
Bacterial and virus strains | ||
Lentivirus-shCREB3L4 | Vigene Biology (Jinan, China) | N/A |
Lentivirus-shNC | Vigene Biology (Jinan, China) | N/A |
Biological samples | ||
Human HCC tissues and matched adjacent tissues | Shandong Provincial Qianfoshan Hospital |
N/A |
HCC tissue chip | Outdo Biotech (Shanghai, China) | HLiv-HCC180Sur-03 |
Chemicals, peptides, and recombinant proteins | ||
Rapamycin | MedChemExpress | HY-10219 |
Puromycin | MedChemExpress | HYB1743A |
Sorafenib | MedChemExpress | HY-10201 |
Critical commercial assays | ||
Cell Counting Kit-8 | DOJINDO | CK04 |
BeyoClick™ EdU Cell Proliferation Kit with Alexa Fluor 488 | Beyotime Biotechnology | C0071S |
SimpleChIP® Plus Enzymatic Chromatin IP Kit | Cell Signaling Technology | 9005 |
Dual-Luciferase® Reporter Assay System | Promega | E1910 |
Deposited data | ||
CREB3L4 mRNA expression of HCC | GEPIA | http://gepia.cancer-pku.cn/ |
Experimental models: Cell lines | ||
Cell line: HUH7 | Procell Life Science&Technology | CL0120; RRID:CVCL_0336 |
Cell line: Hep3B | Procell Life Science&Technology | CL0102; RRID:CVCL_0326 |
Experimental models: Organisms/strains | ||
Mouse: BALB/c Nude Crlj | Charles River Biotech | 409 |
Oligonucleotides | ||
Primers for qRT-PCR | This paper | N/A |
siRNA targeting sequence for RHEB | This paper | N/A |
Recombinant DNA | ||
Plasmid: Lentivirus-shCREB3L4 | Vigene Biology | N/A |
Plasmid: Lentivirus-shNC | Vigene Biology | N/A |
Plasmid: CREB3L4 | Vigene Biology | N/A |
Software and algorithms | ||
SPSS (version 24.0) | IBM | https://www.ibm.com/cn-zh/spss |
ImageJ | National Institutes of Health | https://imagej.net |
Compusyn | ComboSyn, Inc. | https://www.combosyn.com/ |
Resource availability
Lead contact
Further information and request for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Xiaomin Ma (15910098683@163.com); Sanyuan Hu(drsanyuanhu@163.com).
Materials availability
This study did not generate new unique reagents.
Data and code availability
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All data generated or analyzed during this study are included in this article. Further enquiries can be directed to the lead contact.
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This paper does not report original code.
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Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
Experimental model and study participant details
Clinical samples
One hundred and three pairs of HCC tissues and matched adjacent tissues were obtained from the HCC patients admitted to our hospital for treatment. HCC patients underwent chemotherapy, radiotherapy and target therapy were excluded from this study. Patients’ characteristics were summarized in Table S1. Cohort 1 involved 83 patients, and their HCC tissue chips were prepared by Outdo Biotech (Shanghai, China). Cohort 2 involved 20 HCC patients admitted to our hospital for treatment. All patients signed informed consent forms and all experimental protocols were consistent with Declaration of Helsinki. The study protocols were approved by the Ethics Committee of Shandong Provincial Qianfoshan Hospital (2021-S202).
Mice
Male BALB/c nude mice (5 weeks old, 15-20g) purchased from Charles River Biotech (Beijing, China) were raised under specific pathogen-free conditions (temperature 24°C; relative humidity 40–60%; 12-h light/dark cycles). The study protocols were approved by the Ethics Committee of Shandong Provincial Qianfoshan Hospital [2021-S199].
Cell lines
HUH7 (RRID:CVCL_0336) and Hep3B (RRID:CVCL_0326) cells purchased from ATCC (Shanghai, USA) were cultured in DMEM medium (Beyotime, Hangzhou, China) and MEM (Basalmedia, Shanghai, China), respectively. The medium was supplemented with 1% streptomycin and penicillin (Sigma-Aldrich) and 10% fetal bovine serum (FBS, Sigma-Aldrich), which was cultured in a humidified incubator containing 5% CO2 at 37°C. All cell lines have been authenticated in the past three years. Cell line authentication process was conducted by CellCook Biotech (Guangzhou, China). All the experiments were conducted using mycoplasma-free cells.
Method details
Cell transfection
Short hairpin RNAs (shRNAs) plasmid against CREB3L4 purchased from Vigene Biology (Jinan, China) was utilized to induce CREB3L4 silencing, while the HA-CREB3L4 plasmid was utilized to induce CREB3L4 over-expression. The transfection was performed using Lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA). HCC cells transfected with shCREB3L4 or HA-CREB3L4 related vector plasmids served as mock control.
Real-Time PCR
RNAfast200 kit (Fastagen, Shanghai, China) was utilized to extract total RNA from clinical samples and HCC cell lines. The cDNA was synthesized using PrimeScripttmRT reagent Kit with gDNA Eraser (Takara, Shiga, Japan) according to the manufacturer’s instructions. Quantitative PCR was performed using FastStart Universal SYBR Green Master on an Applied Roche LightCycler 480 II system.
Cell viability and colony formation assays
About 24 h after transfection, cells (1 × 104 cells) were seeded into 96-well plates. Then cell counting kit-8 (CCK-8) assay and EdU assay were performed to test the cellular proliferation at 0, 24 h, 48 h and 72 h, respectively. Then we evaluated the colony formation ability of HCC cells. Briefly, 24 h after transfection, the transfected HCC cells (1 × 103 cells per well) were seeded into 6-well plates. After culturing for additional 14 days, cells were fixed and stained with 1% crystal violet (Solarbio, Beijing, China), followed by counting and normalization of the number of colonies to corresponding control cells.
Chromatin immunoprecipitation assay (ChIP)
Chromatins extracted from transfected HUH7 cells were fixed and immunoprecipitated per the manufacturer’s instructions (9005, Cell Signaling Technology). Then anti-HA (2 μg) was used to purify the chromatins. The binding between CREB3L4 and RHEB promoter was assessed by PCR. Sonicated DNA fragments used for immunoprecipitation showed a length of 200 bp based on ethidium bromide gel electrophoresis.
Dual-luciferase reporter assay
HUH7 cells were seeded overnight in 12-well plates, followed by co-transfection with firefly luciferase plasmid (0.5 μg) expressing the wild-type RHEB promoter, or RHEB mutation promoter (0.5 μg) and Renilla luciferase expressing plasmid (0.01 μg, Vigene Biology, Jinan, China). About 48 h after transfection, luciferase activity was performed to the harvested cells using a Dual-Luciferase Reporter Assay System (E1910, Promega), according to the manufacturer’s instructions. Firefly luciferase data were then normalized to Renilla luciferase data that were presented as the fold change relative to the control. In each group, six replicates were set for the dual-luciferase reporter assay, and each test was performed at least in triplicate. A sequence with a length of 600 bp (from −1 to −600 position) was linked to the pGL3-basic vector, based on the SacI-XhoI restriction sites. Additionally, mutation vectors were also constructed to mutate the two site sequences into ‘TTGTTATATTAA’ and ‘CTAATTTGTTAT’. Similarly, these sequences were linked to the pGL3-basic vector, to determine the expression of luciferase in the wild type and mutation.
Construction of stable infection of HUH7 cells with Lentivirus (LV)-shCREB3L4 plasmid
LV-shCREB3L4 and LV-shNC plasmids were purchased from Vigene Biology (Jinan, China). A stable CREB3L4 knockdown HUH7 cell line was established using viral loads with a viral MOI of 10 or 20. The results showed that cells were transfected for 48 h with the highest transfection efficiency in the presence of a MOI of 20 (Figure S1A). After 72 h culture, cells were stimulated with puromycin (5 μg/mL), and puromycin was replaced every 3 days for 2 weeks to obtain the stable CREB3L4 knockdown HUH7 cell line.
Introduction of xenograft tumor model
Then the animals were randomly divided into two group (n = 6 per group), underwent subcutaneous injection of LV-shCREB3L4 plasmid transfected HUH7 cells (8 × 106 cells/100 μL) (designated as shNC group) or LV-shNC plasmid transfected HUH7 cells (8 × 106 cells/100 μL) (designated as shCREB3L4 group), respectively. We also propagated it in vitro for the same duration, and then regularly detected the expression of mRNA (Figure S1B). After the in vivo experiment, the target gene mRNA was detected and combined with the Western blot of tumor samples to ensure high transfection efficiency (Figure S1C). The tumor volume and tumor weight were determined in each group in the presence of CREB3L4 silencing according to the previous description.34
Chemosensitivity assay
Both in vitro and in vivo tests were performed to analyze the effects of CREB3L4 on chemosensitivity. For the in vitro test, HUH7 cells and Hep3B cells were subjected to sorafenib with a concentration of 0, 0.01 μM, 0.1 μM, 1 μM, 10 μM, 100 μM about 48 h after transfection. Upon the selection of IC50, the cells were treated with 10 μM sorafenib for 48 h to determine the chemosensitivity assay by CCK-8 assay. For the in vivo test, upon presence of visible tumors, animals in the shCREB3L4 group and shNC groups were divided into the following groups: (a) shNC-PBS group (n = 4), treated with PBS solution; (b) shNC-Sorafenib group (n = 4), treated with sorafenib (5 mg/kg); (c) shCREB3L4-PBS group (n = 4), treated with PBS; and (d) shCREB3L4-Sorafenib group, treated with sorafenib (5 mg/kg). Each treatment was given every 4 days. The mice were sacrificed 5 weeks after treatment in each group, followed by isolation of tumor masses for further analysis.
Immunohistochemistry and Western blot
IHC was performed based on the tissue chip and the tumor mass from the animals. Western blot was conducted based on 20 HCC samples, tumor mass from animals and the cell lines. Both IHC and Western blot assays were carried out according to the previous study.35 IHC data were quantitatively analyzed using ImageJ software as previously described.36,37
Quantification and statistical analysis
SPSS (version 24.0) was used for the data analysis. All data were represented as mean ± standard deviation. The one-way ANOVA and/or unpaired Student’s t test was used for the data comparison. Log Rank test was performed for the survival analysis. All tests were two-tailed, and a P of less than 0.05 was considered to be statistically significant. p values are denoted in figures as follows: ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.
Additional resources
Not applicable.
Acknowledgments
This work was supported by the Natural Science Foundation of Shandong Province (No. ZR2021QH308) and the National Natural Science Foundation of China (No. 82070869).
Author contributions
Z.J.: experimental operation, data curation, methodology, software, writing – original draft. B.S.: experimental operation, software, writing – original draft. Y.Z.: experimental operation, data curation, software. T.Y.: xperimental operation, formal analysis. Y.C.: experimental operation. J.Z.: data curation. G.Z.: formal analysis. M.Z.: data curation. X.M.: conceptualization, methodology, supervision, writing – review & editing. S.H.: conceptualization, methodology, supervision, writing – review & editing, project administration.
Declaration of interests
The authors declare no competing interests.
Published: January 9, 2024
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.isci.2024.108843.
Contributor Information
Sanyuan Hu, Email: drsanyuanhu@163.com.
Xiaomin Ma, Email: 15910098683@163.com.
Supplemental information
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
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All data generated or analyzed during this study are included in this article. Further enquiries can be directed to the lead contact.
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This paper does not report original code.
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Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.