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A specific super-enhancer actuated by berberine regulates EGFR-mediated RAS–RAF1–MEK1/2–ERK1/2 pathway to induce nasopharyngeal carcinoma autophagy

Abstract

Nasopharyngeal carcinoma (NPC), primarily found in the southern region of China, is a malignant tumor known for its highly metastatic characteristics. The high mortality rates caused by the distant metastasis and disease recurrence remain unsolved clinical problems. In clinic, the berberine (BBR) compound has widely been in NPC therapy to decrease metastasis and disease recurrence, and BBR was documented as a main component with multiple anti-NPC effects. However, the mechanism by which BBR inhibits the growth and metastasis of nasopharyngeal carcinoma remains elusive. Herein, we show that BBR effectively inhibits the growth, metastasis, and invasion of NPC via inducing a specific super enhancer (SE). From a mechanistic perspective, the RNA sequencing (RNA-seq) results suggest that the RAS–RAF1–MEK1/2–ERK1/2 signaling pathway, activated by the epidermal growth factor receptor (EGFR), plays a significant role in BBR-induced autophagy in NPC. Blockading of autophagy markedly attenuated the effect of BBR-mediated NPC cell growth and metastasis inhibition. Notably, BBR increased the expression of EGFR by transcription, and knockout of EGFR significantly inhibited BBR-induced microtubule associated protein 1 light chain 3 (LC3)-II increase and p62 inhibition, proposing that EGFR plays a pivotal role in BBR-induced autophagy in NPC. Chromatin immunoprecipitation sequencing (ChIP-seq) results found that a specific SE existed only in NPC cells treated with BBR. This SE knockdown markedly repressed the expression of EGFR and phosphorylated EGFR (EGFR-p) and reversed the inhibition of BBR on NPC proliferation, metastasis, and invasion. Furthermore, BBR-specific SE may trigger autophagy by enhancing EGFR gene transcription, thereby upregulating the RAS–RAF1–MEK1/2–ERK1/2 signaling pathway. In addition, in vivo BBR effectively inhibited NPC cells growth and metastasis, following an increase LC3 and EGFR and a decrease p62. Collectively, this study identifies a novel BBR-special SE and established a new epigenetic paradigm, by which BBR regulates autophagy, inhibits proliferation, metastasis, and invasion. It provides a rationale for BBR application as the treatment regime in NPC therapy in future.

Introduction

Nasopharyngeal carcinoma (NPC) is a prevalent malignant tumor of the head and neck, particularly in the southern region of China [1]. At present, patients with NPC are treated by radiotherapy or chemotherapy [2], but drug resistance, hepatotoxicity, and recurrence after treatment is a big problem in patients with NPC [3,4,5]. Hence, there is an urgent need to discover novel medications and investigate new mechanisms for the treatment of NPC. The report shows that various active ingredients extracted from Chinese medicine herbs, for instance, gambogic acid, luteolin, ginkgolic acids, curcumin, maackiain, etc., have little toxicity and stable curative effects for NPC [6,7,8,9,10]. Hence, natural small molecule drugs are getting more and more attention from researchers because of their high efficacy and low side effects.

Chinese medicine monomers are the natural small molecule drug with anticancer properties [11,12,13]. Berberine (BBR) (from Coptis chinensis Franch), possesses multiple pharmacological effects, for example, antiheart failure, anticancer, and antimicrobial effects [14]. Studies have shown that BBR inhibits cell growth, metastasis, and invasion of different cancers through induces autophagy and reduces drug resistance [15,16,17,18]. BBR has attracted more and more attention because it reduces drug resistance and reveals significant clinical benefits [19]. The precise mechanism by which BBR inhibits the growth and spread of NPC is still not fully understood.

Autophagy plays a critical role in tumor development, characterized by its capacity to generate double-membrane autophagosomes and induce cellular apoptosis [20]. Autophagy is a double-edged sword. In anticancer therapies, induction of autophagy can promote organelle degradation to inhibit tumor growth [21]. Autophagy not only induces cell death but also reduces resistance to anticancer drugs [22]. Natural small molecule drugs are effective in clinical cancer treatment by inducing autophagy of tumor cells, and the autophagy induced by Chinese medicine monomers are expected to both minimizing toxicity [23]. For example, kaempferol induces autophagy in tumor cells and exerts a significant inhibitory effect on non-small cell lung cancer cells (NSCLC) [24]. Saikosaponin A triggers cancer cell death by increasing autophagy through inactivation of the Akt–mechanistic target of rapamycin (mTOR) signaling pathway [25]. Sophflarine A has the ability to induce autophagy-mediated cell death in NSCLC cells by inhibiting the PI3K/AKT/mTOR signaling pathway [26]. Therefore, search for anticancer drugs to induce tumor cells autophagy had been become a hotspot and is regarded as a new strategy for cancers treatment.

In this study, BBR as a Chinese medicine monomer against NPC displayed obvious NPC inhibition in vitro and vivo. Mechanistically, in combination with the results of chromatin immunoprecipitation (CHIP-seq) and RNA sequencing (RNA-seq) analysis, we have confirmed that the BBR-specific super enhancer (SE) is capable of inducing autophagy in NPC cells by promoting the epidermal growth factor receptor (EGFR) and enhancer the activation of downstream pathways. Therefore, this study identifies a novel mechanism of BBR with potential anti-NPC activity.

Materials and methods

Reagents and antibodies

BBR was provided by Cayman Chemicals (10006427, Ann Arbor, Michigan) and has a purity of ≥ 95%. The antibodies including anti-EGFR (ab52894), anti-EGFR-p (ab40815), anti-rapidly accelerated fibrosarcoma (RAF1) (ab181115), and anti-RAS type GTPase family (RAS) (ab52939) were procured from Abcam based in Cambridge, UK. The antibodies including antimicrotubule associated protein 1 light chain 3 (anti-LC3) (14600), anti-p62 (18420), antimitogen-activated protein kinase 3 (anti-ERK1/2) (11257), anti-phosphorylated ERK1/2 (28733), antimitogen-activated protein kinase kinase 2 (anti-MEK1/2) (11049), and antiphosphorylated MEK1/2 (28955) were purchased from Proteintech (Wuhan, China).

Cell lines and cell culture condition

The human NPC cell lines S18 (cat. number MZ-2715) and 5-8F (cat. number MZ-2346), derived from CNE-2 and CNE-1 cell lines, were obtained from the Shanghai cell Bank. The C666-1 cell line was generously provided to our research group by the Central Laboratory of Hunan Cancer Hospital. The NPC cells were cultured in 50 ml RPMI-1640 medium supplemented with 5 ml fetal bovine serum (Gibco) and 500 µl penicillin–streptomycin.

CCK-8 assay and detection of LDH

The cell counting kit-8 (CCK-8) assay utilized to assess the impact of drugs on cell proliferation inhibition, and the instructions provided by Biosharp (Bs350A; Anhui, China) were strictly followed [27]. The cells were inoculated into 96-well plates. After the cells were attached to the wall, BBR with different concentration gradients was added for treatment, and a blank control hole was set up. After 1 day, incubate the CCK-8 reaction solution for 1 h, and then, the absorbance is determined and recorded. The detection of lactate dehydrogenase (LDH) test kit (C0016) was purchased from Biyuntian Co. (Shanghai, China) and operated in accordance with the specified requirements [28]. In brief, 45 μl of LDH working solution was added to the cells for detection. Following a 30-min incubation, absorbance was measured, and cell mortality was calculated.

Wound-healing and transwell assays

A wound-healing experiment was performed by marking a scratch wound with the tip of a pipette, and the photographs were taken using the phase-contrast microscope (Olympus, Japan). Transwell experiments were conducted following the methods described in literature [29].

Colony formation assays

The cells were inoculated in 6-cm cell culture dish, treated with BBR drugs after the cells had attached to the wall, and cultured for 5 days. Fixed staining was performed to facilitate the observation of the number of cell clusters [30].

Transmission electron microscopy (TEM)

The samples were treated in accordance with the literature description [31]. After discarding the culture medium from the cells, an adequate amount of 2.5% glutaraldehyde was swiftly added for fixation. After 1 h, the cells were transferred to a centrifuge tube using a cell scraper and then centrifuged at 500 rpm for 10 min. The cells were gently resuspended before being transferred to a 1.5-ml EP tube. After standing vertically for 1 h, the supernatant was carefully aspirated. Subsequently, 1 ml of new glutaraldehyde was added along the wall of the tube before storing it in the refrigerator at 4 ℃ for fixed storage.

Autophagy staining assay kit with monodansylcadaverine (MDC)

The MDC test kit (C3018S, Shanghai, China) was purchased from Biyuntian Biological Co. and employed following established protocols [32]. The culture medium of the cells was aspirated, and then 1 ml of MDC staining solution was added to each well. After 30 min, the MDC dye was blotted, followed by three washes with assay buffer. Finally, the results were captured using a fluorescence microscope.

Quantitative real-time polymerase chain reaction (qRT–PCR)

Total RNA was extracted from the cells, and the concentration of RNA was determined. Subsequently, a cDNA template was synthesized through reverse transcription. The amplification reaction system was then configured according to different primers, followed by the performance of the amplification reaction [33]. The primers were tested in accordance with the sequence provided in Supplementary data. Transcription data were analyzed by the 2Ct method.

CRISPR interference

Two active SE regions in NPC cells were targeted and eliminated using clustered regularly interspaced short palindromic repeats (CRISPR)–CRISPR-associated protein 9 (Cas9) [34]. The primers were tested in accordance with the sequence provided in supplementary data.

ChIP assays

S18 and S18 cells treated with BBR were processed at the Epibiotek Laboratory (Guangzhou Epibiotek Co., China) for ChIP-seq on H3K27ac marks [35].

RNA-seq assays

The detection of RNA-seq was conducted in accordance with previous reports [36]. The samples with three biological replicates were sequenced at the Epibiotek Laboratory (Guangzhou Epibiotek Co., China) using the Illumina HiSeq2000 platform.

Western blotting (WB) analysis

The WB assay was carried out in accordance with the findings documented on existing literature [37]. In brief, the denaturation of protein occurred following the extraction of cell sample protein. Subsequently, a protein gel electrophoresis experiment was conducted. The membrane transfer and chemiluminescence were then performed, followed by statistical analysis of the protein bands.

Lentivirus transfection

Cell transfection were performed as previously reported [38]. The EGFR lentiviral vectors (LV-EGFR) and its negative control virus (LVCON313) were both procured from Genechem Co. (Shanghai, China).

Animal studies

Nude mice were provided by SJA Company (Changsha, China). The animal experiment protocol was approved by the Ethics Committee of Medical College of the Affiliated Cancer Hospital of Xiangya School of Medicine (KNZY-202210). Subcutaneous xenograft assays were performed using nude mice (female, 4–6 weeks old, SPF). The mice were injected with S18 cells (1 × 106) subcutaneously and then randomly divided into two groups of five mice each. The BBE group was administered a dose of 15 mg/kg/day for 25 consecutive days, while the control group received 10% dimethyl sulfoxide (DMSO). The dimensions of the tumors in the mice were measured at 5-day intervals. After 4 weeks, the mice were euthanized by inhaling 30% vol/min CO2 in accordance with ethical guidelines, and the tumors were excised for photographic documentation. S18 cells (2 × 106) were intravenously injected into mice to establish a lung metastatic tumor model of NPC in nude mice. The mice were randomly divided into two groups: a control group and a BBR group (five mice per group). After 30 days, lung metastases tumors in mice were quantified using multimode in vivo animal imaging (AniView100).

Immunohistochemistry

Immunohistochemical tests were conducted following the procedures outlined in literature [39]. The tumor tissues of nude mice were fixed, followed by paraffin sectioning and dewaxing with xylene and gradient concentration alcohol. An antigen repair was then performed, followed by sealing with serum. Subsequently, primary and secondary antibody incubation took place, along with the addition of a color development agent and redyeing. Dehydration was carried out before final sealing, after which photographs were taken under the microscope.

Statistical analysis

The statistical analysis employed either an analysis of variance (ANOVA) test or Student’s t-test, with a minimum of three biological replicates conducted for each experiment. The Prism software (version 9.0) is utilized for the analysis and visualization of experimental data. A P value < 0.05 was considered to be statistically significant.

Results

The effect of BBR on NPC cells growth and its noncytotoxic concentration

The CCK-8 assay was utilized to evaluate the impact of BBR on the growth of NPC cells. The NPC cells were incubated with BBR of 10–160 μM concentrations for 24 or 48 h, respectively. The 24-h concentration at which a substance exerts half of its maximal inhibitory effect (IC50) values of S18 cells and 5–8F cells were 91.84 and 95.02, and BBR significant inhibited the growth of NPC cells in a time- and dose-dependent manner (Fig. 1A). The results revealed a significant increase in LDH values when the BBR concentration more than 80 μM (Fig. 1B). The findings indicated that a BBR ≤ 80 μM was the noncytotoxic concentrations to inhabit the growth of NPC cells, and in subsequent experiments, a BBR of 40 and 80 μM was applied. The colony forming array was utilized to observe the long-term therapeutic effect of BBR on NPC cells. With increasing concentrations of BBR, the colony formation capacity of both cells decreased significantly, as compared with controls (Fig. 1C). The results indicated that BBR significantly suppressed the proliferation of NPC cells. To explore the impact of BBR on metastasis of NPC in vitro, the cells treated with DMSO, 40 μM BBR, and 80 μM BBR were used for the wound-healing assay, migration assay, and invasion assay, respectively. The results demonstrated a significant inhibitory effect of BBR on the migratory and invasive capabilities of NPC cells (Fig. 1D–F).

Fig. 1
figure 1

BBR inhibits NPC cell growth and migration. S18 and 5-8F cells were treated with BBR at 10, 20, 40, 80, 120, and 160 μM for 24 or 48 h and subjected to CCK-8 assay for cell viability (A). After BBR treatment for 24 h, LDH was detected with LDH assay (B) (**P < 0.01 versus BBR 80 μM). Cell proliferation was tested with cell colony growth (C). Quantitative analyses of colony numbers are shown (**P < 0.01 versus the control group). A wound-healing assay was used to detect cell migration (D). Representative pictures of S18, 5-8F, and C666-1 cells cultured with the different concentrations of BBR in 12 h or 24 h, and the relative migration values were presented as the means ± standard error of the mean (s.e.m.). The Transwell migration and invasion assays were used to detect the migratory and invasive capabilities of S18, 5-8F, and C666-1 cells treated with 40 and 80 μM, and the number of migrated and invaded cells were presented as the means ± s.e.m. (E, F). All experiments were done more than three times independently and statistically analyzed with one-way analysis of variance (**P < 0.01 versus the control group)

BBR induces autophagy in NPC cells

Autophagy has emerged as a crucial mechanism of tumor cell death triggered by numerous anticancer drugs [40, 41]. TEM is considered the definitive method for assessing autophagy in cells through direct visualization of autophagosome formation, making it the gold standard in research [42, 43]. S18 and 5-8F cells exhibited typical characteristics of autophagy with autophagosomes and autolysosomes after treated with BBR for 24 h (Fig. 2A, B). LC3 is an autophagosomal marker protein [44]. LC3-II protein accumulates during autophagy, and detection of LC3-II has become an effective method to monitor cells autophagy [45]. When autophagy occurs in cells, the levels of the p62 protein decrease significantly [46]. The findings demonstrated an increase in LC3-II protein levels after BBR treatment, and there was a decrease in p62 protein levels, (Fig. 2C–E). The MDC staining technique was employed to examine the alterations in autophagy in NPC cells following treatment with BBR. There was an increase in the number of MDC-positive cells in the BBR treatment group. (Fig. 2E–H). These findings suggest that BBR may effectively induce autophagy in NPC cells.

Fig. 2
figure 2

BBR induces autophagy in NPC cells. TEM was used to observe autophagy in S18 and 5-8F cells, and the scale bar represents 2 µM and 1 µM (A, B). The expressions of LC3 and p62 protein in S18, 5-8F, and C666-1 cells treated with BBR were examined by western blotting (CE). MDC-positive staining cells were observed by inverted fluorescence microscope (FH). All experiments were done more than three times independently and statistically analyzed with one-way analysis of variance (**P < 0.01 versus the control group)

Decreased-autophagy attenuates BBR-induced the inhibition of proliferation and metastasis of NPC cells

To investigate the role of the autophagy in BBR-mediated antinasopharyngeal carcinoma effects, we employed autophagy inhibitors [3-methyladenine (3-MA) and chloroquine (CQ)] to block autophagic flux and subsequently evaluated the suppressive efficacy of BBR on NPC cells. The results indicated that treatment with 3-MA or CQ significantly rescued the mortality of BBR-induced NPC cell death. (Fig. 3A, B). Wound-healing assay results showed that treatment with 3-MA significantly rescued the suppression effect of BBR on NPC cell metastasis. (Fig. 3C–E). Transwell assay results demonstrated that treatment with 3-MA attenuated the inhibitory effect of BBR on the invasion of NPC cells (Fig. 3F). Moreover, BBR-induced MDC levels were inhibited by 3-MA, and alone, 3-MA had no influence on MDC staining (Fig. 3G–I). Furthermore, western blotting analysis revealed that 3-MA significantly rescued BBR-induced LC3-II and the inhibition on p62 (Fig. 3J–L). The results implied that BBR induces autophagy could be the main mechanism of its anti-NPC effect.

Fig. 3
figure 3

The decreased-autophagy attenuates BBR-induced inhibition on the proliferation and metastasis of NPC cells. S18, 5-8F, and C666-1 cells were treated with BBR with or without CQ, 3-MA for 24 h, and the inhibition of growth was assayed (A, B) (** P < 0.01, versus the control group). A wound-healing assay was used to detect cell migration. Representative pictures of S18, 5-8F, and C666-1 cells were treated with BBR with or without CQ or 3-MA for 24 h are shown, and the relative migration values were presented as the means ± s.e.m. (CE). The transwell invasion assays were used to detect the invasive capabilities of NPC cells. The S18, 5-8F, and C666-1 cells were treated with BBR with or without 3-MA for 24 h, and the number of invaded cells were presented as the means ± s.e.m. (F). The MDC-positive staining cells were observed by inverted fluorescence microscope (GI). The expressions of LC3 and p62 protein in S18, 5-8F, and C666-1 cells treated with BBR with or without 3-MA for 24 h was examined by western blotting (JL). All experiments were done more than three times independently and statistically analyzed with one-way analysis of variance (**P < 0.01 versus the control group)

BBR induces autophagy by promoting EGFR and its downstream signaling pathway activation

The molecular mechanism underlying BBR-induced autophagy in NPC cells was elucidated through RNA-seq. The results revealed that, in comparison with the control group, there were 1163 differentially expressed genes in the BBR treatment group (P ≤ 0.05, FC ≥ 2) (Fig. 4A). Additionally, the Kyoto Encyclopedia of Genes and Genomes (KEGG) database was employed to ascertain activated pathways in BBR-treated S18 cells, aiming to unveil regulatory factors associated with autophagy. The various autophagy related pathways (TGF-β, PI3K-AKT-mTOR, TNF, and MAPK pathway) were found to be enriched during BBR treatment (Fig. 4B). The mRNA expression levels of autophagy-related genes EGFR, MAPLC3B, and ULK1 were significantly upregulated in the BBR treatment group. The qRT–PCR results demonstrated a significant upregulation in the expression level of EGFR, MAPLC3B, and ULK1 mRNA following BBR treatment (Fig. 4C–E). As EGFR is involved in the MAPK signaling pathway, our results demonstrate that treatment with BBR led to increased levels of EGFR, RAS, RAF1, and phosphorylated EGFR (EGFR-p), MEK1/2 and ERK1/2 (Fig. 4F–H). Hence, following BBR treatment, the MAPK signaling pathway is activated in NPC cells. To further validate whether this finding is related to BBR-induced NPC cell autophagy, the siRNA targeting EGFR was designed to silence EGFR, the knockout of EGFR reversed the BBR-induced increase in LC3-II increase and decrease in p62 in the NPC cells (Fig. 4O–T). Simultaneously, the MDC staining by the flow cytometry assay results also confirmed that knockdown of EGFR reversed BBR-induced MDC increase (Fig. 4I–N), indicating that EGFR plays a pivotal role in BBR-induced autophagy of NPC cells.

Fig. 4
figure 4

BBR induces autophagy by mediating EGFR and downstream signaling pathway activation. A the volcano plots of RNA-seq data (S18-BBR versus S18), FC represents fold change, and FDR represents false discovery rate. B Scatter plot of KEGG enrichment of differentially expressed genes in S18 and S18-BBR cells, rich factor represents the number of differential genes located in the KEGG/the total number of genes located in the KEGG. The expression of ULK1, microtubule-associated protein 1 light chain 3 beta (MAP1LC3B), and EGFR mRNA in S18, 5-8F, and C666-1 cells treated with BBR was examined by qRT–PCR. (n = 3–5 independent experiments) (CE). Data are expressed as mean ± s.e.m.; **P < 0.01. The expressions of EGFR, EGFR-p, RAS, RAF1, MEK1/2, MEK1/2-p, ERK1/2, and ERK1/2-p proteins in S18, 5-8F, and C666-1 cells treated with BBR were examined by western blotting (FH). The MDC-positive staining cells level in S18, 5-8F, and C666-1 cells treated with BBR were analyzed by a flow cytometer (IN). The expressions of LC3, p62 protein in S18, 5-8F, and C666-1 cells with knockout of EGFR or treated with BBR were examined by western blotting (OT)

EGFR is driven by a BBR-specific super-enhancer

SE exerts a robust regulatory influence on the expression of target genes [47]. To understand whether the aberrant transcription of EGFR-mediated BBR was propelled by SEs, ChIP-seq was used to screen the different SEs of S18 cell treated with BBR (S18-BBR) based on the H3K27ac signal strength. The results showed that a total of SEs in S18 and S18-BBR cells were respectively 816 and 535, and 186 of 535 SEs were specifically generated after BBR treatment (Fig. 5A–E). Next, the gene transcriptome and SE landscapes of S18-BBR cells were established by RNA-seq and H3K27ac ChIP-seq. The ROSE algorithm results showed that EGFR may be a SE-driven gene mediated by BBR. Unlike S18 cells, the upstream region of EGFR in S18-BBR cells has a high level of H3K27ac modification, (Fig. 5F, G). The deletion of this SE using CRISPR–Cas9 (Fig. 6A, B) led to decreased the level of EGFR mRNA and protein (Fig. 6C, D). These findings indicate that the SE plays a significant role in BBR’s impact on EGFR transcription and expression in NPC cells.

Fig. 5
figure 5

A, B EGFR is driven by BBR-specific SE. H3K27ac signal in SE regions S18 cells with (A) or without BBR (B). C, D The numbers of identified SEs and the H3K27ac signal at enhancers in S18 (C) and S18-BBR cells (D). E the numbers of identical and distinct SEs in S18 and S18-BBR cells were analyzed. F Heatmap showed the normalized expression of significantly upregulated genes between S18 and S18-BBR cells. G the locations of the S18-BBR specific SE, and the active SE regions were visualized by IGV

Fig. 6
figure 6

Deletion of BBR-specific SE reverses BBR-induced NPC proliferation and metastasis in vitro. The SE upstream of EGFR promoter was deleted using CRISPR interference, the nested PCR was used to verify the knockout efficiency (A, B). EGFR mRNA and protein expression in ΔSE S18 cells and vector cells (C, D). ΔSE S18 cells treated with BBR binding SE deletion (n = 3–5 independent experiments). Data are expressed as mean ± s.e.m.; **P < 0.01. Cell viability in ΔSE S18 and 5-8F cells treated with BBR was detected by CCK-8 assay (E, F), (**P < 0.01 versus vector–BBR group). Transwell migration and invasion assay were used to detect the migratory and invasive capabilities of ΔSE S18 and 5-8F cells treated with BBR, and the number of migrated and invaded cells were presented as the means ± s.e.m. (GJ) (**P < 0.01 versus vector–BBR group)

Deletion of BBR-specific SE reverses BBR-induced NPC proliferation and metastasis in vitro

To investigate the impact of BBR-specific small molecules on in vitro metastasis and growth of NPC, NPC cells treated with DMSO or BBR and NPC cells with SE deletion treated with DMSO or BBR were used by CCK-8 assay, respectively. These assays demonstrated that the deletion of SE effectively reversed the BBR-induced cell death in NPC cells (Fig. 6E, F). Additionally, the results of the Transwell assay showed that the absence of SE reversed the inhibitory effect of BBR treatment on the migration and invasion of NPC cells (Fig. 6G–J), This suggests that BBR-specific SE could effectively inhibit the migration and invasion of NPC by inducing autophagy.

BBR inhibits NPC growth and metastasis in vivo

The subsequent steps involved investigating the potential of BBR for in vivo metastasis of NPC cells. The mice model of metastatic lung tumors from nasopharyngeal carcinoma was established via tail vein injection, followed by intervention therapy with BBR. The results indicated that, compared with the control group, the BBR treatment group exhibited a reduction in the area of lung metastases in nude mice (Fig. 7 A). Furthermore, the immunohistochemical results demonstrated a concordance between the alterations in autophagy-related protein levels observed in the group treated with BBR and those observed in vitro experiments. Specifically, there was an increase in LC3-II and EGFR protein levels, while p62 protein levels exhibited a decrease (Fig. 7B). To investigate the potential of BBR in inhibiting the proliferation of nasopharyngeal carcinoma in vivo, we subcutaneously injected S18 cells into nude mice and administered BBR drug intervention. BBR treatment could remarkably inhibit NPC growth in vivo (Fig. 7C–F). Immunohistochemical staining revealed an upregulation in LC3-II and EGFR protein levels, accompanied by a notable downregulation of p62 protein levels in the BBR treatment group (Fig. 7G). In conclusion, BBR effectively suppresses the growth and metastasis of nasopharyngeal carcinoma cells both in vivo and in vitro by promoting tumor cell autophagy.

Fig. 7
figure 7

BBR inhibits NPC growth and metastasis in vivo. A The S18 cells were injected into the tail vein of nude mice (n = 5). The mice were subjected to BBR (15 mg/kg/day) by intraperitoneal injection for 30 day (n = 5). The luminescence intensity of lung metastases was analyzed in vivo using an in vivo small animal imaging system (**P < 0.01 versus the control group). B Hematoxylin–eosin (HE) staining was used to detect the percent of tumor metastases per lung. The expression of LC3, p62, and EGFR in NPC lung metastatic tissues and NPC primary tissues were measured by IHC staining. C, D Gross image of subcutaneous tumors and tumor weight in control and BBR group (**P < 0.01 versus the control group). Tumor volume and body weight curve was measured every 5 days, (**P < 0.01 versus day 0) (E, F). G HE staining of the implanted tumors. The expressions of LC3, p62, and EGFR in NPC subcutaneous tumors were measured by IHC staining (**P < 0.01 versus the control group)

Discussion

NPC in clinic-alone chemoradiotherapy appears as a severe recurrence and metastasis, so clinicians struggle to find a novel strategy to decrease the recurrence and metastasis of patients with NPC and improve curative effect [48]. In China, the widespread application of Chinese herbal medicine has contributed to survival of patients with tumor including NPC through reducing recurrence. Compared with chemotherapeutic drugs, the use of TCM monomer therapy can result in fewer adverse reactions. BBR is extracted from Coptis chinensis and extensively utilized in the treatment of inflammatory and neoplastic diseases [49]. BBR can be used to treat many diseases and has shown beneficial therapeutic effects on pancreatic [50], gastric [51], and ovarian cancer [52].

Research showed that BBR could suppress the growth of NPC cells [53, 54]. This research showed that BBR suppressed NPC growth in a dose-dependent manner and caused remarkable inhibition effect on NPC metastasis in mice xenograft model. These are consistent with the previous reports [53, 54], and BBR has an anti-NPC effect, especially an antimetastasis effect, on NPC.

An accumulating a body of evidence has substantiated the pivotal role of autophagy in pharmacotherapy for NPC [55]. In recent years, it has been discovered that BBR, functioning as an autophagy regulator, exerts inhibitory effects on the proliferation and metastasis of various cancers by inducing autophagy [56,57,58,59,60]. In this study, we demonstrate that BBR induces autophagy in NPC cells in a dose-dependent manner. The study reveals that an elevated level of LC3-II may indicate the occurrence of autophagy [61]. Additionally, it is observed that p62 is degraded during autophagy through its interaction with the LC3-interacting region (LIR) [62]. In the present study, BBR treatment increases LC3-II protein expression and degraded p62 in vitro and in vivo, as well as induces autophagy flux in NPC cells. BBR exerts anti-NPC effect through inducing autophagy.

The question of whether induction of autophagy can inhibit tumor cell growth remains a topic of controversy in the field. Studies have shown that BBR inhibits the growth of tumor cells by inducing autophagy [56]. Conversely, the findings from the reports indicate that inhibition of autophagy enhances BBR-induced cell death, thereby highlighting the cytoprotective role played by autophagy [63]. The inhibitory effects of BBR on growth, metastasis, and invasion were partially reversed by autophagy-specific inhibitors in the present study, thereby confirming the anticancer effect of BBR-induced autophagy. These findings suggest that BBR has the potential to inhibit the proliferation and metastasis of nasopharyngeal carcinoma by inducing autophagy.

To elucidate the molecular mechanisms underlying berberine (BBR)-induced autophagy in NPC cells, we utilized RNA-seq to interrogate the transcriptome of cells treated with BBR, revealing a significant upregulation of EGFR mRNA expression. At the same time, we observed that EGFR downstream molecules RAS–RAF1–MEK1/2–ERK1/2 were aberrant activated. EGFR regulates cellular growth, proliferation, and differentiation [64]. EGFR signaling can regulate tumor cell growth, and targeting the EGFR pathway for anticancer drugs is considered a promising strategy. Significantly, the epidermal growth factor receptor (EGFR) or its downstream signaling pathways have been shown to play a crucial role in determining whether autophagy results in cytoprotective or cytotoxic effects [65,66,67]. Xu Wang et al. revealed that PTBP1-mediated enhancement of breast cancer cell proliferation and invasiveness is facilitated through autophagy induction via the PI3K/Akt signaling pathway [68]. The autophagic apoptosis in NPC cells was found to be induced by sodium butyrate (NaBu) through the inhibition of the AKT/mTOR pathway, as reported by Huang et al. [69]. The bidirectional impact of autophagy on EGFR-targeted tumor therapeutic responses underscores the intricate and uncertain nature of cancer treatment. The EGFR-mediated RAS/ERK signaling pathway has the potential to impact cell growth or apoptosis [70]. At present, our results show that RAF1-mediated MEK/ERK activation increased LC3 levels, which is enough to trigger an variation of autophagic flux, indicating the occurrence of autophagy [71]. Pinghu Zhang et al. reported that w09, a novel autophagy enhancer, activated the EGFR-mediated RAS–RAF1–MEK1/2–ERK1/2 signaling cascade to induce autophagy in gastric cancer cells. Jinhua Chen et al. demonstrated that chaetoglobosin G inhibited NSCLC cell proliferation by inducing autophagy through EGFR/MEK/ERK/LC3 pathway to exert an antitumor role. In our study, the EGFR, EGFR-p, RAS, RAF1, MEK1/2, and ERK1/2 proteins were elevated in BBR treatment groups. BBR-induced NPC cell autophagy was partly reversed by EGFR gene knockout. Therefore, EGFR may be used as a pivotal target of BBR-induced autophagy in NPC cells. Subsequently, we investigated the underlying mechanism by which BBR induces an elevation in EGFR levels in NPC cells.

SEs play a pivotal role in orchestrating cell-type-specific gene expression through intricate interactions with master transcription factors (TFs), cofactors, RNA polymerase II, and noncoding RNAs [72]. In this work, BBR-specific SE was identified using H3K27ac ChIP-seq, and knockout SE by CRISPR–Cas9 resulted in downregulation of EGFR and EGFR-p. Reversal of the inhibition of proliferation, metastasis, and invasion mediated by BBR treatment in NPC cells was observed upon knockout of SE. When BBR is present at a low concentration (1 μM), it initially accumulates in the cell mitochondria and plays a role. However, when BBR is in high concentrations (10–100 μM), it will accumulate in the nucleus and play a role [73]. However, SE-driven cell-type-specific genes can form transcriptional condensates in the nucleus [74], and the small-molecule drugs (such as cisplatin) may concentrate in certain condensates and modifies SE DNA [75]. Therefore, a small molecule drug bonding with concentrate preferentially may contribute to enhancement of the pharmacological properties of these drugs. Therefore, we were supposed that BBR may bond with SE concentrate in NPC cell nucleus and promoted EGFR transcription.

Conclusion

This study indicated that BBR exerts inhibitory effects on the growth and metastasis of NPC by inducing autophagy, and this autophagy is regulated by BBR-specific SE. BBR-specific SE regulates the EGFR-mediated RAS–RAF1–MEK1/2–ERK1/2 pathway to induce NPC cell autophagy (Fig. 8). These findings provide novel evidence supporting the potential efficacy of BBR as a promising therapeutic agent for NPC.

Fig. 8
figure 8

Schematic diagram of berberine-actuated SE regulating EGFR to induce NPC autophagy

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Abbreviations

NPC:

Nasopharyngeal carcinoma

BBR:

Berberine

NSCLC:

Non-small cell lung cancer cells

SE:

Super enhancer

CCK-8:

Cell counting kit-8

LDH:

Detection of lactate dehydrogenase

TEM:

Transmission electron microscopy

MDC:

Monodansylcadaverine

qRT–PCR:

Quantitative real-time polymerase chain reaction

WB:

Western blotting

SQSTM1:

Sequestosome 1

3-MA:

3-Methyladenine

CQ:

Chloroquine

KEGG:

Kyoto Encyclopedia of Genes and Genomes

LIR:

LC3-interacting region

RNA-seq:

RNA sequencing

EGFR:

Epidermal growth factor receptor

NaBu:

Sodium butyrate

TFs:

Transcription factors

DMSO:

Dimethyl sulfoxide

LC3:

Microtubule associated protein 1 light chain 3

MAP1LC3B:

Microtubule-associated protein 1 light chain 3 beta

MEK1/2:

Mitogen-activated protein kinase kinase 2

ERK1/2:

Mitogen-activated protein kinase 3

MTOR:

Mechanistic target of rapamycin

RAS:

RAS type GTPase family

RAF1:

Rapidly accelerated fibrosarcoma

References

  1. Wong KCW, Hui EP, Lo KW, Lam WKJ, Johnson D, Li L, et al. Nasopharyngeal carcinoma: an evolving paradigm. Nat Rev Clin Oncol. 2021;18(11):679–95.

    Article  CAS  PubMed  Google Scholar 

  2. Guan S, Wei J, Huang L, Wu L. Chemotherapy and chemo-resistance in nasopharyngeal carcinoma. Eur J Med Chem. 2020;207: 112758.

    Article  CAS  PubMed  Google Scholar 

  3. Gong L, Kwong DL, Dai W, Wu P, Wang Y, Lee AW, et al. The stromal and immune landscape of nasopharyngeal carcinoma and its implications for precision medicine targeting the tumor microenvironment. Front Oncol. 2021;11: 744889.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Jiang J, Ying H. Revealing the crosstalk between nasopharyngeal carcinoma and immune cells in the tumor microenvironment. J Exp Clin Cancer Res. 2022;41(1):244.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Tan R, Phua SKA, Soong YL, Oon LLE, Chan KS, Lucky SS, et al. Clinical utility of Epstein-Barr virus DNA and other liquid biopsy markers in nasopharyngeal carcinoma. Cancer Commun (Lond). 2020;40(11):564–85.

    Article  PubMed  Google Scholar 

  6. Ren T, Bai XY, Yang MZ, Xu N, Guo XZ, Qin LJ, et al. Gambogic acid suppresses nasopharyngeal carcinoma via rewiring molecular network of cancer malignancy and immunosurveillance. Biomed Pharmacother. 2022;150: 113012.

    Article  CAS  PubMed  Google Scholar 

  7. Xiong Y, Zhong W, Liu J, Cheng B, Fan J, Zhou F, et al. Luteolin isolated from polygonum cuspidatum is a potential compound against nasopharyngeal carcinoma. Biomed Res Int. 2022;2022:9740066.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Li HM, Ma H, Sun X, Li B, Cao C, Dai Y, et al. Anti-cancer properties of ginkgolic acids in human nasopharyngeal carcinoma CNE-2Z cells via inhibition of heat shock protein 90. Molecules. 2021;26(21):6575.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Jiang X, Yang X, Shi Y, Long Y, Su W, He W, et al. Maackiain inhibits proliferation and promotes apoptosis of nasopharyngeal carcinoma cells by inhibiting the MAPK/Ras signaling pathway. Chin J Nat Med. 2023;21(3):185–96.

    CAS  PubMed  Google Scholar 

  10. Koon H, Leung AW, Yue KK, Mak NK. Photodynamic effect of curcumin on NPC/CNE2 cells. J Environ Pathol Toxicol Oncol. 2006;25(1–2):205–15.

    Article  CAS  PubMed  Google Scholar 

  11. Guo TH, Li YY, Hong SW, Cao QY, Chen H, Xu Y, et al. Evidence for anticancer effects of chinese medicine monomers on colorectal cancer. Chin J Integr Med. 2022;28(10):939–52.

    Article  PubMed  Google Scholar 

  12. Xu J-Y, Liu F-Y, Liu S-X, Xie L-Z, Li J, Ma Y-T, et al. Plant-derived Chinese medicine monomers on ovarian cancer via the Wnt/β-catenin signaling pathway: review of mechanisms and prospects. J Oncol. 2021;2021:6852867.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Liu F, Xu J, Yang R, Liu S, Hu S, Yan M, et al. New light on treatment of cervical cancer: Chinese medicine monomers can be effective for cervical cancer by inhibiting the PI3K/Akt signaling pathway. Biomed Pharmacother. 2023;157:114084.

    Article  CAS  PubMed  Google Scholar 

  14. Wang K, Feng X, Chai L, Cao S, Qiu F. The metabolism of berberine and its contribution to the pharmacological effects. Drug Metab Rev. 2017;49:139–57.

    Article  PubMed  Google Scholar 

  15. Yao Z, Wan Y, Li B, Zhai C, Yao F, Kang Y, et al. Berberine induces mitochondrial-mediated apoptosis and protective autophagy in human malignant pleural mesothelioma NCI-H2452 cells. Oncol Rep. 2018;40(6):3603–10.

    CAS  PubMed  Google Scholar 

  16. Yu R, Zhang ZQ, Wang B, Jiang HX, Cheng L, Shen LM. Berberine-induced apoptotic and autophagic death of HepG2 cells requires AMPK activation. Cancer Cell Int. 2014;14:49.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Zhang D, Ke L, Ni Z, Chen Y, Zhang LH, Zhu SH, et al. Berberine containing quadruple therapy for initial Helicobacter pylori eradication: an open-label randomized phase IV trial. Medicine (Baltimore). 2017;96(32): e7697.

    Article  CAS  PubMed  Google Scholar 

  18. Zhang Q, Bian H, Guo L, Zhu H. Pharmacologic preconditioning with berberine attenuating ischemia-induced apoptosis and promoting autophagy in neuron. Am J Transl Res. 2016;8(2):1197–207.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Devarajan N, Jayaraman S, Mahendra J, Venkatratnam P, Rajagopal P, Palaniappan H, et al. Berberine—a potent chemosensitizer and chemoprotector to conventional cancer therapies. Phytother Res. 2021;35:3059–77.

    Article  CAS  PubMed  Google Scholar 

  20. Kimmelman AC, White E. Autophagy and tumor metabolism. Cell Metab. 2017;25(5):1037–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Gao W, Wang X, Zhou Y, Wang X, Yu Y. Autophagy, ferroptosis, pyroptosis, and necroptosis in tumor immunotherapy. Signal Transduct Target Ther. 2022;7:196.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Camuzard O, Santucci-Darmanin S, Carle GF, Pierrefite-Carle V. Autophagy in the crosstalk between tumor and microenvironment. Cancer Lett. 2020;490:143–53.

    Article  CAS  PubMed  Google Scholar 

  23. Law Yuen Kwan B, Wong Kam Wai V. Autophagy in multidrug-resistant cancers. IntechOpen; 2016.

    Google Scholar 

  24. Wang R, Deng Z, Zhu Z, Wang J, Yang X, Xu M, et al. Kaempferol promotes non-small cell lung cancer cell autophagy via restricting Met pathway. Phytomedicine. 2023;121: 155090.

    Article  CAS  PubMed  Google Scholar 

  25. Feng J, Xi Z, Jiang X, Li Y, Nik Nabil WN, Liu M, et al. Saikosaponin A enhances Docetaxel efficacy by selectively inducing death of dormant prostate cancer cells through excessive autophagy. Cancer Lett. 2023;554: 216011.

    Article  CAS  PubMed  Google Scholar 

  26. Luo D, Dai X, Tian H, Fan C, Xie H, Chen N, et al. Sophflarine A, a novel matrine-derived alkaloid from Sophora flavescens with therapeutic potential for non-small cell lung cancer through ROS-mediated pyroptosis and autophagy. Phytomedicine. 2023;116: 154909.

    Article  CAS  PubMed  Google Scholar 

  27. Yang X, Zhong Y, Wang D, Lu Z. A simple colorimetric method for viable bacteria detection based on cell counting Kit-8. Analy Methods. 2021;13:5211–5.

    Article  CAS  Google Scholar 

  28. Zhou Y, Qi M, Yang M. Current status and future perspectives of lactate dehydrogenase detection and medical implications: a review. Biosensors (Basel). 2022;12(12):1145.

    Article  CAS  PubMed  Google Scholar 

  29. Sun X, Chen P, Chen X, Yang W, Chen X, Zhou W, Huang D, Cheng Y. KIF4A enhanced cell proliferation and migration via Hippo signaling and predicted a poor prognosis in esophageal squamous cell carcinoma. Thorac Cancer. 2020;12:512–24.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kabakov AE, Gabai VL. Cell death and survival assays. Methods Mol Biol. 2018;1709:107–27.

    Article  CAS  PubMed  Google Scholar 

  31. Tizro P, Choi C, Khanlou N. Sample preparation for transmission electron microscopy. Methods Mol Biol. 2019;1897:417–24.

    Article  CAS  PubMed  Google Scholar 

  32. Zhang Y, Zhang ZN, Li N, Zhao LJ, Xue Y, Wu HJ, et al. Nbr1-regulated autophagy in Lactoferrin-induced osteoblastic differentiation. Biosci Biotechnol Biochem. 2020;84(6):1191–200.

    Article  CAS  PubMed  Google Scholar 

  33. Jozefczuk J, Adjaye J. Quantitative real-time PCR-based analysis of gene expression. Methods Enzymol. 2011;500:99–109.

    Article  CAS  PubMed  Google Scholar 

  34. Larson MH, Gilbert LA, Wang X, Lim WA, Weissman JS, Qi LS. CRISPR interference (CRISPRi) for sequence-specific control of gene expression. Nat Protoc. 2013;8(11):2180–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Liu M, Cao S, He L, Gao J, Arab JP, Cui H, et al. Super enhancer regulation of cytokine-induced chemokine production in alcoholic hepatitis. Nat Commun. 2021;12(1):4560.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Withanage MHH, Liang H, Zeng E. RNA-Seq experiment and data analysis. Methods Mol Biol. 2022;2418:405–24.

    Article  CAS  PubMed  Google Scholar 

  37. Pillai-Kastoori L, Schutz-Geschwender AR, Harford JA. A systematic approach to quantitative Western blot analysis. Anal Biochem. 2020;593: 113608.

    Article  CAS  PubMed  Google Scholar 

  38. Benskey MJ, Manfredsson FP. Lentivirus production and purification. Methods Mol Biol. 2016;1382:107–14.

    Article  CAS  PubMed  Google Scholar 

  39. Sukswai N, Khoury JD. Immunohistochemistry innovations for diagnosis and tissue-based biomarker detection. Curr Hematol Malig Rep. 2019;14(5):368–75.

    Article  PubMed  Google Scholar 

  40. Xiaokaiti Y, Li X. Natural product regulates autophagy in cancer. Adv Exp Med Biol. 2020;1207:709–24.

    Article  CAS  PubMed  Google Scholar 

  41. Ariosa AR, Lahiri V, Lei Y, Yang Y, Yin Z, Zhang Z, et al. A perspective on the role of autophagy in cancer. Biochim et Biophys Acta BBA Mol Basis Dis. 2021;1867:166262.

    Article  CAS  Google Scholar 

  42. Petibone DM, Majeed W, Casciano DA. Autophagy function and its relationship to pathology, clinical applications, drug metabolism and toxicity. J Appl Toxicol. 2017;37(1):23–37.

    Article  CAS  PubMed  Google Scholar 

  43. Wright KL. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Authophagy. 2016;12:1–222.

    Article  Google Scholar 

  44. Tanida I, Ueno T, Kominami E. LC3 and autophagy. Methods Mol Biol. 2008;445:77–88.

    Article  CAS  PubMed  Google Scholar 

  45. Galluzzi L, Green DR. Autophagy-independent functions of the autophagy machinery. Cell. 2019;177(7):1682–99.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Bjørkøy G, Lamark T, Pankiv S, Øvervatn A, Brech A, Johansen T. Chapter 12 monitoring autophagic degradation of p62/SQSTM1. Elsevier; 2009.

    Book  Google Scholar 

  47. Whyte WA, Orlando DA, Hnisz D, Abraham BJ, Lin CY, Kagey MH, et al. Master transcription factors and mediator establish super-enhancers at key cell identity genes. Cell. 2013;153:307–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Lee A, Ng W, Chan J, Corry J, Mäkitie A, Mendenhall M, et al. Management of locally recurrent nasopharyngeal carcinoma. Cancer Treat Rev. 2019;79:101890.

    Article  PubMed  Google Scholar 

  49. Song D, Hao J, Fan D. Biological properties and clinical applications of berberine. Front Med. 2020;14(5):564–82.

    Article  PubMed  Google Scholar 

  50. Vlavcheski F, O’Neill EJ, Gagacev F, Tsiani E. Effects of berberine against pancreatitis and pancreatic cancer. Molecules. 2022;27(23):8630.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Liu Q, Tang J, Chen S, Hu S, Shen C, Xiang J, et al. Berberine for gastric cancer prevention and treatment: multi-step actions on the Correa’s cascade underlie its therapeutic effects. Pharmacol Res. 2022;184: 106440.

    Article  CAS  PubMed  Google Scholar 

  52. Liu L, Fan J, Ai G, Liu J, Luo N, Li C, et al. Berberine in combination with cisplatin induces necroptosis and apoptosis in ovarian cancer cells. Biol Res. 2019;52(1):37.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Ortiz LG, Lombardi P, Tillhon M, Scovassi A. Berberine, an epiphany against cancer. Multidisciplinary Digital Publishing Institute; 2014.

    Google Scholar 

  54. Rad SZK, Rameshrad M, Hosseinzadeh H. Toxicology effects of Berberis vulgaris (barberry) and its active constituent, berberine: a review. Iran J Basic Med Sci. 2017;20(5):516–29.

    PubMed  PubMed Central  Google Scholar 

  55. Xu S, Zhou Z, Peng X, Tao X, Zhou P, Zhang K, et al. EBV-LMP1 promotes radioresistance by inducing protective autophagy through BNIP3 in nasopharyngeal carcinoma. Cell Death Dis. 2021;12(4):344.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Zhang Q, Wang X, Cao S, Sun Y, He X, Jiang B, et al. Berberine represses human gastric cancer cell growth in vitro and in vivo by inducing cytostatic autophagy via inhibition of MAPK/mTOR/p70S6K and Akt signaling pathways. Biomed Pharmacother. 2020;128: 110245.

    Article  CAS  PubMed  Google Scholar 

  57. Han B, Wang K, Tu Y, Tan L, He C. Low-dose berberine attenuates the anti-breast cancer activity of chemotherapeutic agents via induction of autophagy and antioxidation. Dose Response. 2020;18(4):1559325820939751.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. La X, Zhang L, Li Z, Yang P, Wang Y. Berberine-induced autophagic cell death by elevating GRP78 levels in cancer cells. Oncotarget. 2017;8(13):20909–24.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Wang J, Qi Q, Feng Z, Zhang X, Huang B, Chen A, et al. Berberine induces autophagy in glioblastoma by targeting the AMPK/mTOR/ULK1-pathway. Oncotarget. 2016;7(41):66944–58.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Huang J, Feng W, Li S, Tang H, Qin S, Li W, et al. Berberine exerts anti-cancer activity by modulating adenosine monophosphate- activated protein kinase (AMPK) and the phosphatidylinositol 3-kinase/ protein kinase B (PI3K/AKT) signaling pathways. Curr Pharm Des. 2021;27(4):565–74.

    Article  CAS  PubMed  Google Scholar 

  61. Schaaf MBE, Keulers TG, Vooijs MA, Rouschop KMA. LC3/GABARAP family proteins: autophagy-(un) related functions. FASEB J. 2016;30:3961–78.

    Article  CAS  PubMed  Google Scholar 

  62. Pankiv S, Clausen TH, Lamark T, Brech A, Bruun JA, Outzen H, et al. p62/SQSTM1 binds directly to Atg8/LC3 to facilitate degradation of ubiquitinated protein aggregates by autophagy. J Biol Chem. 2007;282(33):24131–45.

    Article  CAS  PubMed  Google Scholar 

  63. Sengupta P, Raman S, Chowdhury R, Lohitesh K, Saini H, Mukherjee S, et al. Evaluation of apoptosis and autophagy inducing potential of Berberis aristata, Azadirachta indica, and their synergistic combinations in parental and resistant human osteosarcoma Cells. Front Oncol. 2017;7:296.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Talukdar S, Emdad L, Das SK, Fisher PB. EGFR: an essential receptor tyrosine kinase-regulator of cancer stem cells. Elsevier; 2020.

    Google Scholar 

  65. Jutten B, Rouschop K. EGFR signaling and autophagy dependence for growth, survival, and therapy resistance. Cell Cycle. 2014;13:42–51.

    Article  CAS  PubMed  Google Scholar 

  66. Sooro MA, Zhang N, Zhang P. Targeting EGFR-mediated autophagy as a potential strategy for cancer therapy. Int J Cancer. 2018;143:2116–25.

    Article  CAS  PubMed  Google Scholar 

  67. Henson E, Chen Y, Gibson S. EGFR family members’ regulation of autophagy is at a crossroads of cell survival and death in cancer. Multidisciplinary Digital Publishing Institute; 2017.

    Book  Google Scholar 

  68. Wang X, Li Y, Fan Y, Yu X, Mao X, Jin F. PTBP1 promotes the growth of breast cancer cells through the PTEN/Akt pathway and autophagy. J Cell Physiol. 2018;233:8930–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Huang W, Zeng C, Liu J, Yuan L, Liu W, Wang L, et al. Sodium butyrate induces autophagic apoptosis of nasopharyngeal carcinoma cells by inhibiting AKT/mTOR signaling. Biochem Biophys Res Commun. 2019;514:64–70.

    Article  CAS  PubMed  Google Scholar 

  70. Knight T, Irving JA. Ras/Raf/MEK/ERK pathway activation in childhood acute lymphoblastic leukemia and its therapeutic targeting. Front Oncol. 2014;4:160.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Kim J-H, Hong S-K, Wu P-K, Richards AL, Jackson WT, Park J-I. Raf/MEK/ERK can regulate cellular levels of LC3B and SQSTM1/p62 at expression levels. Exp Cell Res. 2014;327:340–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Pta B. Super-enhancers in cancer—ScienceDirect. Pharmacol Ther. 2019;199:129–38.

    Article  Google Scholar 

  73. Sakaguchi M, Kitaguchi D, Morinami S, Kurashiki Y, Hashida H, Miyata S, et al. Berberine-induced nucleolar stress response in a human breast cancer cell line. Biochem Biophys Res Commun. 2020;528:227–33.

    Article  CAS  PubMed  Google Scholar 

  74. Hnisz D, Abraham BJ, Lee TI, Lau A, Saint-André V, Sigova AA, et al. Super-enhancers in the control of cell identity and disease. Cell Cambridge MA. 2013;155(4):934–47.

    CAS  Google Scholar 

  75. Klein I, Boija A, Afeyan L, Hawken S, Young R. Partitioning of cancer therapeutics in nuclear condensates. J Clin Oncol. 2021;39(15_suppl):3131.

    Article  Google Scholar 

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Acknowledgements

We thank the members in Clinical Laboratory of Hunan Hospital and Xiangya Medical School University for contributions.

Funding

This work was supported in part by the Major Science and Technological Innovation Project of Hunan Province (2021SK1020-4) and the Pandeng Project of Hunan Cancer Hospital (YF2020001).

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Authors and Affiliations

Authors

Contributions

Y.W performed the experiments. Q.J. and Q.T. performed bioinformatic analyses of sequence data. Y.W. prepared all the figures and wrote the manuscript. F.T. supervised the project. Y.W., Q.J., Y.H., H.D., and F.T. convinced whole project. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Faqing Tang.

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All animal protocols in this study were performed in accordance with the Basel Declaration and the approval of the Ethics Committee of Medical College of the Affiliated Cancer Hospital of Xiangya School of Medicine (approval no. KNZY-202210, 8 July 2022).

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Wu, Y., Jia, Q., Tang, Q. et al. A specific super-enhancer actuated by berberine regulates EGFR-mediated RAS–RAF1–MEK1/2–ERK1/2 pathway to induce nasopharyngeal carcinoma autophagy. Cell Mol Biol Lett 29, 92 (2024). https://doi.org/10.1186/s11658-024-00607-4

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