Saikosaponin D exhibits anti-leukemic activity by targeting FTO/m⁶A signaling

Abstract

Purpose: The implementation of targeted therapies for acute myeloid leukemia (AML) has been challenging. Fat mass and obesity associated protein (FTO), an mRNA N⁶-methyladenosine (m⁶A) demethylase, functions as an oncogene that promotes leukemic oncogene-mediated cell transformation and leukemogenesis. Here, we investigated the role of Saikosaponin-d (SsD) in broad anti-proliferation effects in AML and evaluated the m⁶A demethylation activity by targeting FTO of SsD.

Methods: It was examined whether and how SsD regulates FTO/m⁶A signaling in AML. The pharmacologic activities and mechanisms of actions of SsD in vitro, in mice, primary patient cells, and tyrosine kinase inhibitors-resistant cells were determined.

Results: SsD showed a broadly-suppressed AML cell proliferation and promoted apoptosis and cell-cycle arrest both in vitro and in vivo. Mechanistically, SsD directly targeted FTO, thereby increasing global m⁶A RNA methylation, which in turn decreased the stability of downstream gene transcripts, leading to the suppression of relevant pathways. Importantly, SsD also overcame FTO/m⁶A-mediated leukemia resistance to tyrosine kinase inhibitors.

Conclusion: Our findings demonstrated that FTO-dependent m⁶A RNA methylation mediated the anti-leukemic actions of SsD, thereby opening a window to develop SsD as an epitranscriptome-base drug for leukemia therapy.

Introduction

Acute myeloid leukemia (AML) is a malignant disorder of hematopoietic stem cells which is characterized by clonal expansion of abnormally differentiated blasts of myeloid lineage ^{1, 2}. Regarding AML treatment, small molecule inhibitors against each mutant target are widely used in clinical practice ³. The first targeted therapy for AML was used in patients with rearrangement of the retinoic acid receptor ⁴. Recently, several small-molecule inhibitors have been developed. Midostaurin, a broad-spectrum FLT3 inhibitor, was approved for use in newly diagnosed AML patients with FLT3 mutations, in combination with standard-of-care chemotherapy ⁵. IDH2 inhibitor, enasidenib ⁶, and the IDH1 inhibitor, ivosidenib ⁷, respectively inhibit mutant IDH2 and IDH1. Mubritinib, a known ERBB2 inhibitor, has shown strong anti-leukemic effects both in vitro and in vivo ⁸. Venetoclax, a selective BCL-2 inhibitor, has received FDA approval for the treatment of AML ⁹. However, prolonged treatment with this inhibitor results in drug resistance ¹⁰. Even then, the clinical outcomes for AML patients remain unsatisfactory with high mortality rates and therefore, necessitate using the novel genetic and epigenetic information to develop improved and more-targeted therapies ¹¹.

M⁶A modification is the methylation of the adenosine base at the nitrogen-6 position of mRNA ^{12, 13}. It is the most prevalent internal chemical modification of mRNAs in eukaryotes ¹⁴. Accruing evidence shows that m⁶A RNA methylation has an outsize effect on RNA production/metabolism and participates in the pathogenesis of multiple diseases including cancers ^{15, 16}. The m⁶A levels depend on the functional interplay among several proteins. The fat mass and obesity (FTO)-associated gene, which belongs to the Fe²⁺- and 2-oxoglutarate (2OG)-dependent AlkB dioxygenase family, predominantly catalyze m⁶A demethylation ¹⁷. FTO is involved in various disease processes and has also been shown to be upregulated in several subtypes of AML ¹⁸. The discovery of small-molecule FTO inhibitors enables temporal intervention of mRNA methylation. The natural product rhein, an FTO inhibitor that competitively binds to the FTO active site in vitro, generally increases the cellular m⁶A on mRNA ¹⁹. Meclofenamic acid (MA), an anti-inflammatory drug, is a selective inhibitor of FTO demethylation of m⁶A rather than demethylase ALKBH5. In addition, MA is another key gene that is sensitive to the function of the m⁶A modulator, and can give rise to a significant change in phenotype. Due to substrate binding competition, MA inhibits FTO both selectively and efficiently ²⁰. Structurally, oncometabolite R-2-hydroxyglutarate (R-2HG) is close to α-ketoglutarate (α-KG) and competitively inhibits a series of Fe(II)/α-KG-dependent dioxygenases. In addition, R-2HG also inhibits FTO activity, thereby increasing global N⁶-methyladenosine (m⁶A) RNA modification in R-2HG-sensitive leukemia cells ²¹. Other FTO inhibitors, such as FB23 and FB23-2 were developed using a structure-based rational design based on MA. These FTO inhibitors directly bind to FTO and thereby selectively inhibit its m⁶A demethylase activity ¹⁷.

Triterpenoids are chemical compounds with 30 carbon atoms made up of six isoprene units (C₅H₈). These are natural compounds with a variety of biological activities, mainly with anti-cancer and anti-viral effects ²². Other than these, triterpenoid saponins have also been highlighted for several other bioactivities, including anti-inflammatory, anti-allergic, anti-cancer effects, treatment of leukemia, and anti-viral activities ²³. However, the underlying molecular mechanisms of its action are still unclear. Saikosaponin-d (SsD) is a triterpenoid saponin compound that is extracted from Radix Bupleuri, the dried root from the plant Bupleurum falcatum. SsD has been reported to exert multiple biological effects, including anti-cancer activity. In liver cancer treatment, SsD functions by suppressing cyclooxygenase (COX)-2 via the intermediary p-STAT3/C/EBPβ signaling pathway ²⁴. Furthermore, in hepatoma cells, SsD has shown to reverse hypoxia promoted effects by activating the sentrin/small ubiquitin-like modifier (SUMO)-specific protease 5 (SENP5), which leads to the inhibition of SUMO1 and Gli ²⁵. SsD has also been reported as a novel SERCA inhibitor that promotes autophagic cell death in apoptosis-defective cells ²⁶. Moreover, SsD has shown to suppress cell growth in triple-negative breast cancer by targeting β-catenin signaling ²⁷. However, there is a lack of knowledge elucidating the effect of SsD in leukemia.

Here, we showed that SsD displayed broad and intrinsic anti-tumor activity in leukemia both in vivo and in vitro by targeting FTO and its downstream pathways. These effects were due to altered mRNA m⁶A modification in the target RNAs. Thus, our findings revealed a previously unrecognized link between FTO/m⁶A-modification signaling and elucidated the function of SsD in AML.

Methods

Cell culture

The cell culture for leukemia cells was performed as our previous reports ²⁸. Human leukemia cell lines NB4, Kasumi-1, K562, U937, HL60, SKNO-1, MV4-11, MOLM13, MOLM14, and mouse C1498 cells were obtained from the American Type Culture Collection (Manassas, VA, USA). NB4, K562, U937, HL60, MV4-11, MOLM13, and MOLM14 cells were cultured in RPMI1640 medium containing 10% fetal bovine serum (FBS) (Life Technology, New York, USA). Kasumi-1 and SKNO-1 cells were cultured in RPMI1640 with 20% FBS. C1498 cells were maintained in Dulbecco's Modified Eagle's Medium (DMEM) with 10% FBS.

Cell proliferation, cell cycle, and cell apoptosis assays

To study the effects of SsD on cell viability, cells were seeded in triplicate in 96-well plates at a concentration of 5,000-10,000 cells per well. Cell proliferation and viability were assessed using the Cell Counting Kit-8 (CCK8; Dojindo Molecular Technologies) as per manufacturer's instructions. For cell cycle analysis, the Cell Cycle and Apoptosis Analysis Kit (Beyotime, Shanghai, China) was used. Cells were washed three times with ice-cold PBS, and were fixed in 70% ethanol in PBS at -20 °C for 12 h. After fixation, cells were washed with ice-cold PBS and stained with 0.5 mL of propidium iodide (PI) staining buffer, containing 200 mg/mL RNase A and 50 µg/mL PI, at 37 °C for 30 min in the dark. Finally, cells were analyzed using flow cytometry. For cell apoptosis analysis, cells were centrifuged (4 °C, 1000 rpm, 3 min), washed with PBS, stained using the Annexin V-FITC Apoptosis Detection Kit (Beyotime), and analyzed by flow cytometry. Analyses were performed on the BD LSR flow cytometer (BD Biosciences, New Jersey, USA). All experiments were performed in triplicate.

Colony-forming assays

Colony-forming assays were performed using the MethoCult® mixture (Stem Cell Technologies, Canada) as per the manufacturer's guidelines described in a previous report ^{28, 29}. Briefly, cells treated with different concentrations of SsD were suspended in 0.3 mL of IMDM plus 2% FBS (Stem Cell Technologies), mixed with MethoCult® medium, and then seeded into 35-mm dishes. Colonies were counted after 9-14 days.

RNA-seq

RNA-seq was performed according to our previous report ³⁰. Briefly, total RNA samples were extracted from NB4 cells treated with SsD or control for 48 h using a miRNeasy mini kit (Qiagen, Germany). Libraries were constructed on an Illumina Hiseq system. Differential gene expression was analyzed following a standard Illumina sequence analysis pipeline. Subsequently, Gene Set Enrichment Analysis (GSEA) was used to analyze the enriched signaling pathways.

Molecular docking

The three-dimensional structure of SsD (PubChem CID:119307) was obtained from the NCBI Pubchem Compound database (http://www.ncbi.nlm.nih.gov/pccompound) by ChemDraw software, and the crystal structure of FTO (PDB ID: 2HYU6AKW) was obtained from the RCSB Protein Data Bank (http:// www.rcsb.org/pdb). Molecular docking was performed using AutoDock tools (version 4.2.6) at the default setting, based on the Lamarckian Genetic Algorithm (Scripps Research Institute, La Jolla, CA, USA). Hydrogens were added and all H₂O₂ molecules were removed using the Protein Preparation Wizard in Maestro v9.2. Then, the structure was energy-minimized. The chemical structure of SsD was prepared using LigPrep v2.5, then AMSOL partial atomic charges were assigned. The program Glide v5.7 was used for ligand docking. Flexible Docking was performed with extra precision mode. The number of poses per ligand was set to 10 in post-docking minimization and the best 5 poses were output. The other parameters were kept as default. The molecular structures were generated using PyMOL 1.6.x. We processed the optimum structure of the complex with the Discovery Studio 4.0 Visualizer (BIOVIA, San Diego, CA, USA).

Cellular thermal shift assay (CETSA)

CETSA was conducted as described previously ³¹. NB4 and Kas-1 cells were harvested and lysed in 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, and 2 mM DTT. To the supernatant, 10 μM SsD or DMSO was added and incubated at 25 °C for 25 min. After heat denaturing for 5 min, samples were centrifuged (4 °C, 12000 g, 10 min), and the supernatants were analyzed by Western blot analysis. All experiments were performed in triplicate.

Nuclear magnetic resonance (NMR) titration

NMR data was acquired using phosphate buffer (20 mM sodium phosphate (pH 7.4), 100 mM NaCl, 5% DMSO) on a Bruker Avance NEO-400 MHz spectrometer equipped with a cryogenically cooled probe (Bruker biospin, Germany) at 25 °C. Experimental samples contained 100 μM SsD along with FTO or BSA protein at 0 μM, 1 μM, and 2 μM, respectively.

Quantitation of SsD in AML cells

NB4 and Kas-1 cells were treated with 1 μM SsD for 48 h, respectively. Using 0.1% trypan blue, viable cells were stained, counted, and harvested after three times washings with PBS. Cells were diluted to 100 μL with 50% (v/v) water/methanol and subjected to three times shock freeze-thaw cycles for cell lysis. Supernatants were collected for HPLC (Agilent Technologies, Santa Clara, CA, USA) analysis using a HC-C18 column (Agilent) at 30 °C, and the absorbance was detected at 203 nm. The mobile phase consisted of acetonitrile and 0.1% phosphoric acid water and the flow rate was set to 1.0 mL/min.

HPLC-based assay to measure the inhibition of m⁶A demethylation

Based on previously-published HPLC-based protocol ³², the reactions were performed in 50 mM Tris-HCl (pH 7.5-8.0) that contained 0.25 μM FTO_△N31, 5 μM 15-mer ssRNA (5'-AUUGUCA(m⁶A)CAGCAGC-3'), 300 μM 2OG, 280 μM (NH₄)₂Fe(SO₄)₂, 2 mM L-ascorbic acid, and corresponding inhibitors at the indicated concentrations. Reactions were incubated at 25 °C for 30 min and terminated by heat denaturation at 90 °C for 5 min. Furthermore, the reaction mixtures were subjected to digestion with nuclease P1 (N8630, Sigma-aldrich) and alkaline phosphatase (P5931, Sigma). The half-maximal inhibitory concentration (IC₅₀) values were obtained based on the inhibitory percentages of m⁶A demethylation for the corresponding inhibitor at the indicated concentrations, using nonlinear regression and dose-response fit in GraphPad Prism 5.0^TM software. All reactions were performed in triplicate.

Detection of FTO enzymatic activity in a cell-free system using dot blot assays

The FTO demethylation activity was measured following a dot blot assay described previously ³³. Recombinant human FTO protein was obtained from Abcam (ab109039). Single-stranded RNA with m⁶A modification, having the sequence 5'-AUUGUCA(m⁶A)CAGCAGC-3', was synthesized by Sangon Biotech (Shanghai). Demethylation activity assays were conducted in a 20 μL reaction mixture containing the indicated concentration of octyl ester modified SsD, 0.1 nmol ssRNA, 200 nM FTO, 283 μM of (NH₄)₂(SO₄)₂•6H₂O (203505, Sigma-Aldrich), 75 μM of a-KG (K1128, Sigma-Aldrich), 2 mM of L-ascorbic acid (A0278, Sigma-Aldrich), 50 μg/mL of BSA (A2058, Sigma-Aldrich), and 50 mM of HEPES buffer, pH 7.0. The reactions were incubated at 37 °C for 3 h and quenched by the addition of 5 mM EDTA. This was followed by inactivation of the FTO enzyme by heating at 95 °C for 5 min. The ssRNAs were precipitated using one-tenth of a volume of 3 M sodium acetate (pH 5.2), glycogen (500 μg/mL, final concentration), and 2.5 volumes of 100% ethanol, and overnight incubation at -80°C. The RNA pellet was resuspended in 10 μL of RNase-free water and directly subjected to an m⁶A dot blot assay to determine m⁶A levels.

RNA extraction and quantitative RT-PCR analysis

Total RNA was extracted using a miRNAeasy Kit (217004, Qiagen, Germany) and transcribed into cDNA by SuperScript III First-Strand Synthesis System (18080-051, Invitrogen, Canada) as per the manufacturer's guidelines ²⁸. The qRT-PCR was performed with SYBR-Green (4309155) master mix on an ABI Prism 7000 sequence detection system (Applied Biosystems, Thermo Fisher Scientific). The expression of target genes, including MYC, RARA, and ASB2 was normalized to 18 S expression levels. Relative gene expression levels were quantified using the 2^-ΔΔCT method. Gene-specific primer sequences are listed in Table S7.

HPLC-MS/MS quantitation of m⁶A in AML cells

NB4 and Kas-1 cells were cultured with DMSO or SsD for 48 h, then mRNA was extracted and purified by the GenElute™ mRNA Miniprep Kit (Sigma #MRN70) as per the manufacturer's guidelines. A total of 1 μg of mRNA was digested using 2 U nuclease P1 (Sigma) in 40 μL buffer (10 mM Tris-HCl pH 7.0, 100 mM NaCl, 2.5 mM ZnCl₂) at 37 °C for 12 h, followed by incubation with 1 U alkaline phosphatase at 37 °C for 2 h. The RNA solution was diluted 10-fold and 10 μL of the solution was injected into the system. Cellular levels of A, m⁶A were quantified using the HPLC (Ultimate 3000 system) coupled with a TSQ Quantiva mass spectrometer (Thermo, USA). Samples were centrifuged and loaded onto a Syncronis aQ C18 column (100 mm×2.1 mm, 1.7 μm, Thermo Scientific, USA) and eluted by the gradient methanol. The parent-to-product ions for quantification of A and m⁶A were at m/z 268.1/136.1 (A) and 282.1/150.1 (m⁶A), respectively.

Plasmid and shRNA transfection

Human FTO (GeneID: 79068) gene sequences were cloned into the pCDNA3 vector, and the respective shRNA constructs were cloned in the pSUPER vector (three shRNAs per gene). The cells were seeded into 6-well plates at a density of 1 × 10⁶ cells/well, and were cultured overnight, followed by transfection with 2 µg plasmid or shRNA and the respective empty vectors using Lipofectamine™ 3000 (Invitrogen, California, USA) according to the manufacturer's guidelines.

m⁶A dot blot analysis

Total RNA was extracted and purified using the miRNeasy Mini Kit (Qiagen #217004) and the GenElute™ mRNA Miniprep Kit (Sigma #MRN70), respectively. For control experiments (NB4, Kas-1), the rRNA was cleaned using the RiboMinus Transcriptome Isolation Kit (Invitrogen #K155002). In brief, mRNA was denatured and subjected to dot blot analysis using anti-m⁶A antibodies (1:2000, Synaptic Systems), as described previously ³⁰. As a loading control, RNA spotted membrane was stained with 0.02% methylene blue (Sigma #1808) in 0.5 M sodium acetate (pH 5.0).

Western blot analysis

Cells were washed twice with ice-cold PBS and lysed using ice-cold RIPA lysis buffer containing proteases. Western blot analysis of the cell protein lysates was performed as described previously ³⁴. The following antibodies were purchased respectively from Cell Signaling Technology: anti-FTO (#31687), anti-RARA (#2554), anti-MYC (#9402), anti-METTL3 (#86132), anti-YTHDF2 (#80014), anti-FLT3 (#3462), anti-Bcl-2 (#15071), anti-Stat3 (#9139); from Abcam: anti-ALKBH5 (ab244296); from Santa Cruz: Anti-β-Actin (#sc47778); and from Thermo Fisher: Anti-puromycin (#BP2956).

mRNA degradation and protein translation assays

The transfected and drug-treated cells were treated with 5 µg/mL actinomycin-D (Cayman Chemical #11421) for the indicated time points. Total RNA was purified using TRIzol® RNA isolation reagent (Invitrogen #15596018). The value was recorded as the percentage of mRNA remaining compared with the amount before actinomycin-D (Cayman Chemical #11421) treatment. Data were normalized to the levels of β-actin. For protein translation assays, NB4 and Kas-1 cells were treated with 200 ng/mL puromycin (Thermo Fisher #BP2956) and further incubated for the indicated time points. Then, cells were lysed for Western blot analysis and the relative protein expression was normalized to β-actin (1:1000, Santa Cruz #sc47778).

Gene-specific m⁶A qPCR

To assess the relative abundance of specific mRNA transcripts in m⁶A IP and input groups, qPCR was performed. m⁶A RNA immunoprecipitation (MeRIP) was performed with Methylated RNA Immunoprecipitation (MeRIP) Kit (Bes5203, BersinBio) according to the manufacturer's guidelines. Reverse transcription and qPCR were performed with a QIAGEN's RT kit and 2 × SYBR green qPCR Master Mix. Cycle threshold (Ct) values were used to determine the relative enrichment of mRNA.

AML patient samples

Diagnoses of AML were made according to the criteria of World Health Organization. For in vivo treatment, primary cells from AML and CML patients with >80% blasts were cultured in RPMI-1640 containing 20% FBS. All patients signed informed consent, which was approved by the Institutional Review Board before entering the study.

Animal experiments

C57BL/6N mice, NU/NU Nude mice and immunodeficient NOD SCID mice (all male, 4-6 weeks old) were purchased from the Beijing Charles River Company (Beijing, China). All animals were managed as per the Guide for the Care and Use of Laboratory Animals. Animal experiments were approved by the Animal Care and Use Committee of the Changchun University of Chinese Medicine. Animal models were established as described previously ^{29, 35}. In brief, for C1498 and FLT3+ models 0.5×10⁶ C1498 cells or transfected FLT3+ cells were injected into the tail-vein of C57BL/6N mice for the development of leukemic disease. For the “human in mouse” model, primary AML cells (10×10⁶) were injected into the tail-vein of NOD SCID mice. Upon the development of leukemic disease (established using a white blood cell (WBC) count), 0.1 mg/kg or 0.5 mg/kg of SsD was intraperitoneally injected three times per week for three consecutive weeks. For the WBC count, 2 μL of mouse tail-vein blood was mixed with 38 μL of Turk blood dilution fluid (Ricca Chemical, Arlington) and WBCs were counted under a microscope. For survival studies, mice were sacrificed when they showed any sign of distress, such as breathing disorders, weight loss, or immobility. Spleen weight and number of metastatic nodules were determined at the end of each experiment. For the Kas-1 nilotinibR animal model, parental or resistant cells were subcutaneously injected into the right flanks of nude mice. Then, tumor-bearing mice received three intraperitoneal injections of either 0.5 mg/kg nilotinib or 1 mg/kg SsD per week. Mice were sacrificed on the indicated day after resistant cell inoculation and tumors were harvested for H&E and IHC staining as well as a dot blot assay.

Hematoxylin and Eosin (H&E), Immunohistochemical (IHC) and Giemsa staining

Histopathological staining was performed as previously described ³⁶. Briefly, tissues collected during animal studies were fixed with 10% neutral buffered formalin and embedded in paraffin. The paraffin-embedded tissue specimens were sectioned into the size of 5 μM and stained with H&E. For IHC staining, the anti-PCNA primary antibody (Cell Signaling Technology, #12727) was used. Images were analyzed using Image-Pro Plus software. Giemsa staining assay was performed as previously described ²⁹.

Statistical analysis

All quantitative data are presented as the mean ± standard deviation (SD) of at least three independent experiments. The statistical analysis was performed using the Student's t-test. Survival curves were estimated using the Kaplan-Meier method, and significant differences between the survival curves were assessed by the Log-rank test. All analyses were performed using GraphPad Prism 7 software. A two-sided p-value of < 0.05 was considered statistically significant.

Results

SsD exhibits anti-proliferation activity in AML

To elucidate the pharmacological effect of SsD in leukemia, we explored the effects of a series of SsD concentrations in 10 human leukemia cell lines. We found that SsD inhibits cell viability in a dose-dependent manner in most of these leukemia cell lines (Figures 1A). To further examine this inhibitory effect of SsD in leukemia, the colony assay in four leukemia cell lines, NB4, Kas-1, MV4-11, and U937 (top four sensitive cells to SsD) was carried out. Similar to the cell viability results, SsD significantly suppressed both colony number and size in the cell lines tested (Figures 1B-E). Interestingly, the SsD-induced inhibition of cell proliferation and viability was likely due to cell-cycle arrest in the G1 stage and increased apoptosis in NB4 cells (Figure 1F-G, and Figure S1A).

Figure 1.

SsD exhibits anti-proliferation activity and promotes myeloid differentiation and apoptosis. (A) CCK-8 assays in SsD-treated AML cells after 48 h of treatment. (B) Colony-forming assays in NB4, Kas-1, MV4-11, and U937 cells, treated with different concentrations of SsD. Images show representative plates and (D) clones. (C) Graphs showing the colonies numbers from 3 independent experiments and (E) quantification of clone sizes from 10 clones. Data are the mean ± SD; *P < 0.05, **P < 0.01, ***P < 0.001. (F-G) Determination of the effect of SsD on cell-cycle arrest and apoptosis using FACS based on PI staining in NB4 cells after 48 h of treatment.

Identification of SsD response-associated genes and pathways

To further determine the potential target that could be related to SsD sensitivity in leukemic cells, we performed RNA sequencing (RNA-seq) in SsD-treated NB4 cells which is the most sensitive leukemia cell line. Differentially-expressed genes (DEGs) were identified. Genes with a fold change of > 2 were classified as DEGs. Based on this criterion, we found a total of 3732 upregulated and 3442 downregulated genes (Figure 2A and Table S1). To reveal the potential underlying mechanisms of SsD, we next performed enrichment analyses and investigated the DEG-related pathways. We screened for the top ten pathways that were enriched with up-regulated and down-regulated genes (Figure 2B and Table S2). In addition, GSEA was used to investigate the signaling pathways affected by SsD treatment (Figure 2C and Table S3). Our data revealed that SsD treatment caused significant suppression of MYC targets, E2F targets, and G2M checkpoint signal cascades. Interestingly, these findings agreed with the suppressed signaling pathway by FTO inhibitors and the knockdown of endogenous FTO (FTO KD). Therefore SsD inhibitory effects may contribute to FTO inhibition on the cell cycle and proliferation (Figure 2D-E and Table S4). Furthermore, the vast majority of pathways upregulated by FTO knockdown were enriched for SsD, and similarly, the majority of SsD-suppressed signaling pathways were also inhibited by FTO knockdown (Figure 2F and Table S5). More importantly, SsD mediated changes in m⁶A-related genes (downregulated or upregulated) were significantly consistent (Figure 2G and Table S6). Overall, these findings indicated that the SsD might be involved in the FTO-mediated m⁶A RNA methylation pathway.

Figure 2.

Identification of genes and pathways related to the SsD response. (A) Representative scatter plot of 7174 genes in control vs SsD-treated NB4 cells, 3732 upregulated genes are marked in red while 3442 downregulated genes are marked in blue. (B) KEGG pathway analysis of both downregulated and upregulated genes (based on the RNA-seq results) in control vs SsD-treated NB4 cells. P-value was corrected by FDR, and the FDR < 0.01 was considered significantly enriched. (C) Similarly, Gene Set Enrichment Analysis (GSEA) of pathways for the downregulated and upregulated genes in control vs SsD-treated NB4 cells. The P-value was corrected by FDR, and the FDR < 0.01 was considered significantly enriched. (D) Venn diagram showing the core genes of SsD-suppressed signaling pathways and the four shared signaling pathways in MSigDB database. (E) The top four signaling pathways suppressed by SsD in NB4 cells. (F) Venn diagram showing up- or downregulated genes in signaling pathways after SsD treatment or knockdown-mediated FTO inhibition. (G) Heat map analysis for significantly down-regulated or up-regulated gene in SsD treated NB4 cells.

FTO is a direct target of SsD

Based on gene microarray data that SsD-mediated inhibition of leukemogenesis was mainly due to the m⁶A pathway, we hypothesized that SsD might modulate m⁶A RNA methylation in leukemia. Previously it was reported that FTO plays the ontogenetic role in leukemogenesis ³⁷, therefore, we examined FTO expression in all ten cell lines used in this study (Figure S1B). We found that FTO expression in these cell lines was consistent with the sensitivity of the cell growth inhibition by SsD. To validate the direct binding of SsD to FTO, we firstly performed molecular docking analysis based on the published crystal structure of FTO (PDB ID: 6AKW). The optimum binding site for SsD showed an extraordinary shape that was complementary with the substrate-binding site, occupying the entire binding pocket (Figure 3A-B). Four amino acid residues (R96, K216, E234, R332) were involved in the interaction with SsD (Figure 3C), which plays key roles in the inhibition of FTO activity as previously reported ³⁸. Next, we investigated the interaction between FTO and SsD by a variety of biochemical experiments. Cellular thermal shift assays (CETSAs) data suggested that SsD binds to FTO rather than ALKBH5 (Figure S1C-D). In NB4 and Kas-1 AML cells, SsD binding to FTO protein induced an obvious thermal shift, suggesting protection from the thermal degradation (Figure 3D). We also verified the activity of SsD against ALKBH5 in a cell-free system by dot blot analysis. As shown in Figure S1E, we did not find a considerable SsD-mediated change of ALKBH5 activity. The interaction between FTO and SsD was further investigated using NMR where a dose-dependent attenuation of signals was observed in titrations (Figure 3E), and negative saturation transfer difference signals were also detected (Figure S1F). These results indicated that FTO interfered with the state of SsD. Next, we analyzed the cellular uptake of SsD using LC-MS/MS quantitation (Figure 3F), notably, SsD was detected around 0.05-0.14 nmol/million cells in NB4 and Kas-1 cells. Inhibitory activity of SsD on FTO demethylation in vitro is shown using HPLC (Figure 3G). Furthermore, in a cell-free system, dot blot assays verified the SsD-mediated competitive suppression of FTO activity (Figure 3H). Collectively, the aforementioned results strongly indicated that FTO is a direct target of SsD and could be the main mediator of SsD-induced growth-suppressive effects in leukemic cells.

Figure 3.

FTO is a direct target of SsD. (A) The molecular structure of SsD is shown. (B) Molecular docking illustrations showing the potential binding pocket of SsD in FTO. (C) Structural complex of FTO bound with SsD. The surrounding amino acids and α-KG are shown. (D) Western blots showing the effects of 1 µM SsD on the thermal stabilization of FTO protein. CETSA was assayed in cell lysates. The results were derived from three biological replicates. (E) NMR measurement of SsD interaction with FTO. (F) Determination of cellular uptake of SsD by LC-MS/MS quantitation. AML cells were treated with 1 µM SsD for 48 h. (G) In vitro quantification of inhibition by SsD on FTO demethylation activity of m⁶A in RNA using HPLC. (H) In a cell-free system, dot blot analysis of m⁶A abundance in the presence of various SsD concentrations and FTO protein is shown.

SsD induces m⁶A modification by directly inhibiting FTO m⁶A demethylation activity

To test the changes in m⁶A on RNA, we performed the m⁶A dot blot assay in SsD treated leukemia cells. As shown in Figure 4A and S2A, SsD substantially increased the abundance of m⁶A in transcriptomes. Furthermore, HPLC-MS/MS quantitation confirmed the increase of cellular m⁶A in mRNA of SsD-treated NB4 and Kas-1 cells (Figure 4B and S2B). Next, we checked the expression of MYC and RARA, two direct targets of FTO in SsD-treated cells. SsD notably downregulated MYC but upregulated RARA in NB4 and Kas-1 cells both at the mRNA and protein level (Figure 4C-D). Interestingly, an SsD-dependent decrease in MYC and RARA was due to decreased mRNA and protein stability in FTO-overexpressed cells (Figure 4E-4H). Gene-specific m⁶A qPCR to detect the m⁶A methylation status of MYC and RARA was performed and the results indicated that a decrease of MYC and RARA mRNAs stability was a consequence of an alteration of m⁶A methylation in these genes (Figure S2C). We also observed that FTO overexpression rescued RARA upregulation and MYC suppression by SsD treatment, thereby indicating that MYC and RARA are the FTO-dependent downstream targets of SsD (Figure S2D). There was no change in the stability of ALKBH5, METTL3, YTHDF2 proteins (Figure S2E). Altogether, these results further demonstrated that FTO and its downstream targets (e.g., MYC, RARA) are the major effectors of SsD in FTO overexpressed leukemia cells. We also showed that small hairpin RNAs (shRNAs) based on FTO knockdown reinstated the effects of SsD on increasing global m⁶A levels of cellular poly(A)+ RNA in NB4 cells (Figure S2F). Of note, forced expression of wild-type FTO, but not mutant FTO significantly promoted the sensitivity of Thp1 cells to R-2HG, which indicated that R96, K216, E234, and R332 mutations could disrupt the enzymatic activity of FTO (Figure S2G and S2H). The panel experiments of pharmacological or genetic inhibition by FTO inhibitor R-2HG or shRNA confirmed that SsD treatment had similar phenotypes (Figure S2I-N). These results further strengthened the idea that SsD possessed FTO-mediated m⁶A RNA methylation activity.

Figure 4.

SsD induces m⁶A modification. (A) m⁶A dot blots of indicated cells treated with SsD are shown. MB (methylene blue) represents the loading control of RNA samples. (B) TSQ traces of FTO demethylation of m⁶A in ssRNA in the absence and presence of the SsD in NB4 and Kas-1 cells are shown, respectively. (C) Expression levels of indicated genes in cells treated with SsD measured using qPCR. Data represent three independent experiments. (D) Western blot analysis of the protein levels of indicated genes in SsD treated cells. (E-F) qPCR analysis of NB4 and Kas-1 cells treated with SsD for 24 h, followed by 5 µg/mL actinomycin-D treatment for the indicated time points. Gene expression was normalized to GAPDH. (G-H) Western blot analysis for protein stability in cells treated with SsD for 24 h, followed by 200 nM puromycin treatment for the indicated time points. Graphs are showing the quantification of Western blot analysis normalized to β-actin; Data represent three independent experiments and present the mean ± SD; *p < 0.05, **p < 0.01, ***p < 0.001.

SsD significantly inhibits progression of AMLs in vivo

To investigate the therapeutic efficiency of SsD against leukemia in vivo, C1498, and FLT3+ leukemia mouse models were established (Figure 5A and S3A-B). The vehicle group showed rapid WBC growth, and total WBC in this group expanded to 250 ± 10×10⁹/L in C1498 mice or 272 ± 13×10⁹/L in FLT3+ mice within 30 days. Administration of 0.1 mg/kg or 0.5 mg/kg doses of SsD significantly inhibited WBC growth to an average WBC of 154 ± 17×10⁹/L and 160 ± 11×10⁹/L, or 10⁷ ± 11×10⁹/L and 122 ± 7×10⁹/L respectively (Figure 5B). Consistent with the inhibitory effects on WBC, SsD also efficiently impaired the bone marrow (BM) clonogenic potential (blast %) (Figure 5C and 5D). Moreover, spleens isolated from the SsD-treated group weighed less compared to those from control groups, indicating that SsD treatment markedly reversed the splenomegaly and suppressed the metastatic tumor cells in the spleen (C1498 mice: vehicle, 713 ± 62 mg; 0.1 mg/kg, 580 ± 51 mg; 0.5 mg/kg, 424 ± 34 mg; FLT3+ mice: vehicle, 691 ± 68 mg; 0.1 mg/kg, 581 ± 104 mg; 0.5 mg/kg, 457 ± 91 mg) (Figure 5C and 5E). Furthermore, lung metastatic nodules in the SsD group were significantly lower (in numbers) than that of other groups (C1498 mice: vehicle, 15 ± 3.0; 0.1 mg/kg, 8.7 ± 2.2; 0.5 mg/kg, 4.3 ± 2.3; FLT3+ mice: vehicle, 14.5 ± 1.9; 0.1 mg/kg, 8.8 ± 2.8; 0.5 mg/kg, 4.8 ± 1.6), further indicating the less aggressive leukemic growth in lung (Figure S3C and S3D). Evidently, in agreement with the pathological phenotype, SsD-treated mice also had a significantly longer survival time (Figure 5F). However, we did not observe obvious alterations in mouse body weight (Figure S3E), food intake, or mobility, suggesting minimal side effects of SsD in the tested settings. Mechanistically, the anti-leukemic effects of SsD in vivo were mediated by its m⁶A RNA methylation activities (Figure 5G); since BM from SsD-treated mice had increased m⁶A RNA methylation leading to modulate target genes (Figure 5H). Next, to test the in vivo toxicity of SsD, we administrated normal mice with PBS or SsD. No death or unusual behaviors were observed in SsD-treated mice during the entire experiment. Also, all major organs of mice in the SsD group, including heart, liver, spleen, lung, and kidney showed no pathological changes even after one month-administration of SsD at a high dose of 0.5 mg/kg (Figure S4).

Figure 5.

SsD significantly inhibits the progression of sensitive AMLs in vivo. (A) Leukemic mice were developed by intravenous injection of C1498 and FLT3+ cells into 4 weeks old C57BL/6 mice. The WBC count was used as an indicator for the development of leukemic disease. SsD or vehicle was injected 3 times a week for 3 weeks. (B) WBC count of leukemia-bearing mice (n = 8) is shown. (C) Images show representative external views of the spleen with histological analysis of H&E-stained spleen sections (Scale bars, 1 cm, lower) and Wright-Giemsa-stained bone marrow (BM) cells (upper). (D-E) The quantification for blast cells and spleen weight is shown. (F) The survival curve of leukemia-bearing mice was calculated by Kaplan-Meier survival analysis (n = 8). (G) Using the dot blot assay, m⁶A abundance was determined in the RNA samples in SsD-treated primary BM cells at 48 h. The results were obtained from two biological replicates. (H) qPCR expression analysis of MYC, CEBPA, ASB2, and RARA in BM. Data are the mean ± SD; *P < 0.05, **P < 0.01.

SsD inhibits patient primary cells

Next, peripheral blood from AML patients (n=3) was obtained from the Tumor Tissue/Biospecimen Bank of the First Hospital of Jilin University (Changchun City, Jilin Province, China) to further evaluate the effect of SsD on leukemia progression. The primary cells were handled and cultured as previously described ³⁹. In agreement with the results obtained from cell lines experiments, here too, SsD significantly suppressed the leukemia cell proliferation (Figure 6A), colony-formation ability (Figure 6B), induced cell-cycle arrest (Figure 6C) and increased cell apoptosis (Figure S5A-C). Mechanistically, this was regulated by FTO-mediated m⁶A RNA methylation and its targets in SsD-treated primary cells (Figure 6D-G and S5D). More importantly, when we used “human-in-mouse” xeno-transplantation leukemic models to evaluate the effect of SsD on leukemia progression in vivo (Figure 6H), similarly as above, treatment with SsD significantly inhibited AML progression, including a lower WBC, decreased leukemic blasts in BM, reduced splenomegaly, inhibited lung metastasis, and prolonged survival in mice xenotransplanted with AML primary cells (Figure 6I-N). Moreover, we did not observe any obvious alterations in mouse body weight (Figure S5E). Thus, these in vivo findings suggested that SsD holds therapeutic potential to treat FTO-mediated AML.

Figure 6.

SsD inhibits patient primary cells. (A) CCK-8 assays in the cells derived from two patients treated with SsD for 48 h. (B) Colony-forming assays of patient cells treated with SsD. Graphs showing the colony number from 3 independent experiments. Data are the mean ± SD; *P < 0.05, **P < 0.01. (C) Effect of SsD on cell-cycle arrest was determined using FACS based on PI staining in patient cells after 48 h of treatment. (D) After 48 h of SsD treatment, m⁶A abundance in the RNA samples was determined in primary patient cells using a dot blot assay. (E) TSQ traces of FTO demethylation of m⁶A in ssRNA in the absence and presence (1 µM SsD for 48 h) of SsD in patient cells. (F) qPCR expression analysis of the indicated genes in patients' SsD-treated cells. Data represent three independent experiments. (G) Western blot analysis of the indicated genes in patients' SsD-treated cells. (H) Leukemia-bearing mice were developed by intravenous injection of patient cells into 4-week old NSG mice. (I) WBC count of leukemia-bearing mice (n = 3) is shown. (J) Images show representative external views of the spleen with the histological analysis of H&E-stained spleen sections (Scale bars, 1 cm, middle), Wright-Giemsa-stained bone marrow (BM) cells (left), and external views of the lung with H&E-stained sections (right) from leukemia-bearing mice. (K-M) The quantification of blast cells (K), spleen weight (L), and tumor growing nodules on lung (M) are shown. (N) The survival curve of leukemia-bearing mice calculated by Kaplan-Meier survival analysis (n = 5) is shown.

SsD overcomes N⁶-methyladenosine-mediated leukemia resistance to tyrosine kinase inhibitors

Incapacitating the requirement of FTO-dependent m⁶A demethylation could yield a therapeutic opportunity to prevent the development of TKI resistant phenotypes. Since FTO inhibition sensitizes resistant cells to TKI treatment, we examined the efficacy of SsD in TKI-resistant cells. For in vitro examination, Kas-1 nilotinib resistant cells (Kas-1NR) and MV4-11 PKC412 (MV4-11PR) were established as reported previously ³⁰. Initially, these cells were exposed to 1 μM SsD for 6 h to suppress FTO activity, followed by 72 h treatment with nilotinib or PKC412. We found that SsD in combination with nilotinib or PKC412 was much more effective in lowering cell viability (Figure 7A), indicating that SsD induced pronounced inhibition of cell proliferation in Kas-1NR and MV4-11PR cells. Molecular characterization of cells also revealed that TKIs-mediated m⁶A hypomethylation was rescued (Figure 7B-C, and S6A). Though SsD did not change the protein levels of ALKBH5, METTL3, YTHDF2 in Kas-1NR, and MV4-11PR cells (Figure 7D), TKIs-upregulated expression of m⁶A-associated genes, MerTK, BCL-2, and STAT3, was impaired (Figure 7E and S6B). Consistent with the above-mentioned results, MerTK, BCL-2, and STAT3 were found to more stable both at mRNA and protein levels in TKI-resistant cells. However, SsD treatment decreased the stability of MerTK and BCL-2 transcripts, which subsequently led to their decreased translation (Figure 7F and 7G). Gene-specific m⁶A qPCR confirmed that changes in RNA or protein levels of MerTK, BCL-2, and STAT3 were caused by m⁶A-mediated mRNA stability. To examine these effects in vivo, we engrafted nude mice with Kas-1 nilotinib resistant cells. After cell inoculation, to retain resistance phenotypes, we continued administrating nilotinib intraperitoneally twice a week until the tumor volume approached 100 mm³. Then, randomized groups were treated with suboptimal doses of SsD (0.1 mg/kg, 0.5 mg/kg) (Figure 7H). SsD itself marginally slowed down resistant tumor growth, as demonstrated by the smallest tumor volume (Kas-1, 639 ± 49 mm³; Vehicle, 611 ± 45 mm³; 0.1 mg/kg, 348 ± 42 mm³; 0.5 mg/kg, 20 ± 8 mm³) (Figure 7I and 7J). Mechanistically, we observed an overall increase in mRNA m⁶A methylation (Figure 7K). Furthermore, PCNA-stained sections were evaluated to confirm the anti-cancer efficiency of SsD (Figure S6D). As previously, we did not observe any alterations in mouse body weight (Figure S6E).

Figure 7.

SsD overcomes N6-methyladenosine-mediated leukemia resistance to tyrosine kinase inhibitors. (A) CCK-8 assays in resistant cells treated with SsD for 24 h. (B) Dot blot analysis of m⁶A abundance in the RNA samples in parental resistant cells after 48 h of SsD treatment is shown. (C) Quantitation of m⁶A/A in mRNA in resistant cells treated with 1 µM SsD for 48 h was performed using LC-MS/MS. (D) Western blot analysis of indicated genes in resistant cells treated with SsD is shown. (E) qPCR expression analysis of indicated genes in resistant cells treated with SsD is shown. Data represent three independent experiments. (F) qPCR analysis of Kas-1NR and MV4-11PR cells treated with SsD for 24 h, followed by 5 µg/mL actinomycin-D treatment for the indicated time points is shown. The gene expression levels were normalized to GAPDH. (G) Western blot analysis of anti-puromycin in cells treated with SsD for 48 hours, followed by 200 nM puromycin treatment for the indicated time points is shown. Graphs are the quantitative representation of Western blot results normalized to β-actin. (H) Leukemia-bearing mice were developed by intravenous administration of Kas-1 or Kas-1NR (0.5×10⁶) cells into 4-week old mice (three times a week for three weeks). (I) Images of tumors and (J) quantification of tumor growth are shown. (K) m⁶A dot blot analysis in tumors is presented.

Saikosaponin A (SsA) exerts similar effects to SsD

SsA, the enantiomer of SsD is also one of the major active components of Bupleurum falcatum, which is structurally and chemically related to SsD (Figure S7A). Similarly, it possesses numerous pharmacological activities, including immunoregulatory, anti-inflammatory, and hepatoprotective activities ⁴⁰. We studied whether it had effects that were identical on AML as SsD in vivo and in vitro. As shown, SsA also inhibited colony number and induced cell-cycle arrest at the G1 stage and apoptosis (Figures S7B-D), but compared with SsD, it was less powerful. In terms of the mechanism of action, SsA increased global m⁶A modification by directly inhibiting the demethylation activity of FTO (Figures S7E-H). We found that SsA also displayed a growth-suppressive effect in AML cells both in vitro and in vivo (Figures S7I-O). However, significantly inhibitory effects on AML proliferation were observed with SsD compared to SsA.

Discussion

AML is one of the most common leukemias, characterized by differentiation arrest and uncontrolled proliferation of malignant blasts. The treatment of AML is still limited due to drug resistance and side effects of existing drug, and novel therapeutic strategies are urgently needed ²⁸. Numerous natural products originated from Chinese herbal medicine exhibit anti-cancer activities. Epigallocatechin gallate (EGCG), Berberine, and Triptolide are reported to have a therapeutic effect in leukemia ⁴¹. SsD, an effective component of Radix Bupleuri, exhibits a promising anti-tumor effect in various types of cancer, including lung cancer, liver cancer, breast cancer, prostate cancer, etc. Recently, we reported that SsD-loaded by a nanocomposite effectively inhibited tumor growth and metastasis of breast cancer in vitro and in vivo through VEGFR, AKT, and ERK related to the angiogenic pathway ³⁴. However, therapeutic effect and molecular mechanism of SsD in AML have rarely been reported. Here, we explored SsD as a potential treatment in leukemia. In agreement with our hypothesis, we found that SsD significantly inhibited AML leukemogenesis in a relative lower dose-dependent manner (0.5 to 1 µM).

We performed RNA sequencing in SsD-treated NB4 cells to determine the potential target that could be involved. Fascinatingly, we found that SsD treatment caused the significant suppression of MYC targets, E2F targets, and G2M checkpoint signal cascades, consistent with the downregulated signaling pathway by FTO inhibitors and FTO knockdown. More importantly, SsD significantly regulated downstream targets of FTO/m⁶A, such as MYC, CEBPA, ASB2, RARA, etc. These findings indicated that SsD could be involved in the FTO-mediated m⁶A RNA methylation pathway. Therefore, we speculated whether SsD could be used as a small molecule inhibitor targeting FTO to regulate the RNA methylation of m⁶A. FTO inhibitors have been reported to significantly promote the methylation of m⁶A, thereby inhibiting the proliferation of leukemia cells. The SsD/FTO binding experiments, such as AutoDock assay, CETSA, NMR measurement, FTO activity assay, to validate our hypothesis of using SsD as a target inhibitor of FTO.

Leukemia is frequently associated with activating mutations of receptor tyrosine kinases (RTKs), including BCR/ABL, KIT, FLT3, etc. To examine the effect of SsD in vivo, we performed studies in leukemia animal models as presented in our previous reports ³⁵. C1498 is a typical AML model. FMS-like tyrosine kinase 3 (FLT3) is a receptor tyrosine kinase that is exclusively expressed in the hematopoietic compartment. One of the most common mutations in AML involves the internal tandem duplication (ITD) of FLT3, which occurs in ~25% of all newly diagnosed cases of AML with a poor prognosis ⁴². In this study, we also showed that SsD has a good effect on FLT3-ITD mutations bearing AML cells. This indicated that FLT3-ITD mutations might be positively correlated with FTO expression, which is consistent with the data presented in a previous report ¹⁸. In preclinical testing, these results suggest utilizing SsD against the FLT3-ITD mutant genetic AML subtype. The mechanism-based rationale for the correlation between FLT3 and FTO must be investigated further.

On the other hand, drug resistance is a major problem that must be resolved. Many tyrosine kinase inhibitors (TKIs) rapidly acquired resistance to TKIs presenting a major hurdle for successful leukemia treatment. Our findings emphasized the TKI-independent mechanism for the development of drug resistance in leukemia ⁴³. Previously, we showed that the developing resistant phenotypes during TKI therapy depend on m⁶A reduction resulting from FTO overexpression in leukemia cells. Mechanistic investigations revealed that the FTO dependent m⁶A demethylation enhances mRNA stability of proliferation/survival transcripts bearing m⁶A and subsequently leads to increased protein synthesis. FTO inhibitor rhein or MA induced more pronounced inhibition of cell proliferation in TKI-resistant cells through enhancing m⁶A methylation with barely detectable changes in FTO protein expression leading to impaired expression of COL18A1, CTSB, CITED2, MERTK, MTHFR, and BCL-2 ³⁰. In the present study, SsD sensitized MV4-11 or Kas-1 resistant cells to nilotinib and PKC412 via rescuing FTO-mediated m⁶A hypomethylation, which in turn decreased the stability of MTHFR and BCL-2 transcripts and proteins, thereby supporting SsD as FTO inhibitor that overcomes TKI-independent-based resistance.

In conclusion, our studies reveal a previously unrecognized link between FTO/m⁶A-modification signaling and elucidate the function of SsD in AML. It is of importance to further test the combination of SsD with other molecule inhibitors in the clinic against AML, such as other FTO inhibitors, DNA hypomethylating agents, histone acetyltransferase/methyltransferase/deacetylase inhibitors, tyrosine kinase inhibitors or other cytotoxic chemotherapy drugs. We anticipate that this study may provide insight into a promising strategy for target FTO/m⁶A-based epitranscriptome and highlights the clinical potential of Saikosaponin for leukemia therapy.

Supplementary Material

Supplementary figures.

Supplementary table S1.

Supplementary table S2.

Supplementary table S3.

Supplementary table S4.

Supplementary table S5.

Supplementary table S6.

Supplementary table S7.

Abbreviations

SsD

Saikosaponin-d

m⁶A

N⁶-methyladenosine

AML

Acute Myeloid Leukemia

FTO

fat mass and obesity-associated protein

TKI

Tyrosine Kinase Inhibitor

FLT3

FMS-Like Tyrosine Kinase 3

IDH2

Isocitrate Dehydrogenase 2

IDH1

Isocitrate Dehydrogenase 1

ERBB2

EGFR/EGF receptor 2

BCL-2

B Cell Lymphoma-2

FDA

Food and Drug Administration

ALKBH5

alkB homolog 5

R-2HG

R-2-hydroxyglutarate

COX

cyclooxygenase

SUMO

sentrin/small ubiquitin-like modifier

SENP5

specific protease 5

Gli1

glioma-associated oncogene homolog 1

SERCA

sarco endoplasmic reticulum calcium adenosine triphosphatase

CEBPA

CCAAT/enhancer binding protein alpha

PI

propidium iodide

DMSO

Dimethyl Sulfoxide

DTT

Dithiothreitol

PBS

Phosphate-Buffered Saline

BSA

Bovine Serum Albumin

HPLC

High-Performance Liquid Chromatography

IC50

half maximal inhibitory concentration

ssRNA

single-stranded RNA

EDTA

Ethylenediaminetetraacetic acid disodium salt

RARA

retinoic acid receptor α

SDS-PAGE

sodium dodecyl sulfate polyacrylamide gel electrophoresis

PVDF

polyvinylidene difluoride

RT

room temperature

WBC

white blood cell

H&E

Hematoxylin and Eosin

IHC

Immunohistochemical

DEGs

differentially expressed genes

CETSAs

Cellular thermal shift assays

MERTK

Mer proto-oncogene tyrosine kinase

STAT3

Signal Transducer and Activator of Transcription 3

FLT3-ITD

FMS-like Tyrosine Kinase 3 -internal tandem duplication

BRD4

Bromodomain-containing protein 4

SOCS2

suppressor of cytokine signaling 2

EGFR

epidermal growth factor receptor

SsA

Saikosaponin A

ShRNAs

small hairpin RNAs

GSEA

Gene Set Enrichment Analysis

YTHDF2

YTH-domain family 2

BM

bone marrow

PI

propidium iodide

DAPI

4',6-diamidino-2-phenylindole

R-2HG

R-2-hydroxyglutarate