Literature DB >> 36032766

Allosteric Regulation of IGF2BP1 as a Novel Strategy for the Activation of Tumor Immune Microenvironment.

Yang Liu1,2, Qiang Guo1, Heng Yang1, Xiao-Wen Zhang1, Na Feng1, Jing-Kang Wang1, Ting-Ting Liu1, Ke-Wu Zeng1, Peng-Fei Tu1.   

Abstract

Tumor immune microenvironment (TIME) regulators are promising cancer immunotherapeutic targets. IGF2BP1, as a crucial N 6-methyladenosine (m6A) reader protein, recognizes m6A target transcripts, ultimately leading to cancer development. However, currently, the biological function of IGF2BP1 in regulating the TIME is not well-understood. In this study, we report that IGF2BP1 knockdown induces cancer cell apoptosis, thereby significantly not only activating immune cell infiltration including CD4+, CD8+ T cells, CD56+ NK cells, and F4/80+ macrophage but also decreasing PD-L1 expression in hepatocellular carcinoma (HCC). Then, chemical genetics identifies a small-molecule cucurbitacin B (CuB), which directly targets IGF2BP1 at a unique site (Cys253) in the KH1-2 domains. This leads to a pharmacological allosteric effect to block IGF2BP1 recognition of m6A mRNA targets such as c-MYC, which is highly associated with cell apoptosis and immune response. In vivo, CuB exhibits an obvious anti-HCC effect through inducing apoptosis and subsequently recruits immune cells to tumor microenvironment as well as blocking PD-L1 expression. Collectively, IGF2BP1 may serve as a novel pharmacological allosteric target for anticancer therapeutics via mediating TIME.
© 2022 The Authors. Published by American Chemical Society.

Entities:  

Year:  2022        PMID: 36032766      PMCID: PMC9413439          DOI: 10.1021/acscentsci.2c00107

Source DB:  PubMed          Journal:  ACS Cent Sci        ISSN: 2374-7943            Impact factor:   18.728


Introduction

The components of the immune system play a crucial role in combating tumors.[1,2] Despite the firm efforts of these components in the elimination of tumors, tumor cells cleverly escape the surveillance process of the immune system by adopting several immune evasion mechanisms, such as immunosuppression.[3−5] Immune checkpoint inhibitor (ICI) therapy is emerging as a promising therapeutic option for cancer treatment.[6−8] Meanwhile, modulating the immune system with ICIs still faces obstacles with severe immunogenic side effects and a lack of response against many cancer types.[9,10] Therefore, developing small-molecule drugs that trigger antitumor immunity will provide new insight into cancer therapeutics. As the most abundant messenger RNA (mRNA) modification, N6-methyladenosine (m6A) plays diverse roles in various biological processes in eukaryotes.[11,12] Recently, m6A reader proteins from a distinct family—insulin-like growth factor-2 mRNA-binding proteins (IGF2BPs)—have been reported to directly recognize m6A modification, thereby promoting the stability and storage of m6A-modified mRNA by recruiting the cofactors, including ELAV-like RNA binding protein 1 (ELAVL1, also called HuR) and matrin 3 (MATR3).[13] IGF2BPs belong to a highly conserved family of RNA-binding proteins and comprise three major members including IGF2BP1, IGF2BP2, and IGF2BP3. Functionally, IGF2BP1–3 fortify the stability and increase the translation efficiency of m6A-modified mRNAs, further leading to tumor cell proliferation, invasion, and metastasis.[14−17] However, whether IGF2BPs contribute to tumor immune microenvironment (TIME) regulation is still poorly understood. IGF2BP1 has been identified to play important roles in regulating mRNA targets, such as PTEN, ACTB, MAPK4, c-MYC, and CD44, in an m6A-dependent manner.[18−20] Aberrant IGF2BP1 overexpression in many cancers, particularly in hepatocellular carcinoma (HCC), gallbladder cancer (GC), and breast cancer (BC), is associated with a poor prognosis and shorter survival.[21,22] Therefore, IGF2BP1 is considered to be a promising therapeutic target for cancer treatment. Structurally, IGF2BP1 consists of six canonical RNA-binding domains, including four K homology (KH) domains and two RNA recognition motifs (RRMs).[23] Although the RRM domains of IGF2BP1 can potentially contribute to the stabilization of IGF2BP1-RNA complexes in a target-dependent manner, previous studies indicate that RNA binding is majorly facilitated by the KH domains.[24−26] However, it remains unknown whether there are druggable domains in IGF2BP1. In this study, we utilized a chemical genetics strategy to discover a small-molecule cucurbitacine B (CuB) as a probe specially targeting IGF2BP1. We found that CuB covalently modified IGF2BP1 at a unique Cys253 site, further blocking IGF2BP1–m6A interaction via an allosteric effect on its KH1–2 domains. Then, CuB promoted IGF2BP1-dependent target mRNA instability to induce tumor cell apoptosis, thereby recruiting immune cells to the tumor microenvironment. Collectively, our study reveals that IGF2BP1 serves as a valuable allosteric target for cancer therapeutics by reshaping TIME.

Results

IGF2BP1 Knockdown Inhibits HCC Progression Via Activation of Immune Cell Recruitment and Decrease in PD-L1 Expression in TIME

To explore the potential function of IGF2BP1 in different cancers, we explored clinical samples from the The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Transcriptomics studies in the TCGA database showed that IGF2BP1 mRNA expression was highly increased in a variety of malignancies, especially in liver hepatocellular carcinoma (LIHC) tissues, compared with normal tissues (Figure A). Additionally, IGF2BP1 expression was positively associated with an advanced tumor stage, especially in patients with stage 4 (Figures B and S1A). Patient tissue biopsy specimens further confirmed that IGF2BP1 expression was increased in LIHC tissues compared with adjacent normal tissues (Figures C and S1B), suggesting that IGF2BP1 may be positively associated with LIHC progression. We therefore hypothesized that IGF2BP1 could serve as a therapeutic target for HCC treatment.
Figure 1

IGF2BP1 knockdown inhibits HCC progression via activating immune cell recruitment and decreasing PD-L1 expression in TIME. (A) IGF2BP1 expression profile across a variety of malignancies compared with normal tissues from the GEPIA database. (B) IGF2BP1 expression levels in LIHC were positively associated with advanced tumor stage determined by TCGA database using UALCAN database. (C) IGF2BP1 expression levels were increased in tumor tissues (n = 90) compared with their matched adjacent nontumoral tissues (n = 90), as shown in representative immunohistochemical images and mean staining scores. Black arrows indicate IGF2BP1 positive staining cells. (D) Images of tumor tissues in IGF2BP1-silenced H22 tumor-bearing mice compared to the shNC group (n = 6). (E) The weight of subcutaneous xenograft tumors (n = 6). (F) The dynamic change of tumor volume in subcutaneous models was shown at two weeks after injection. (G) Representative histological analysis of tumor specimen stained by H&E, Ki-67, and TUNEL (scale bars = 100 μm). Quantification of Ki-67 and TUNEL is shown (n = 6). (H) Representative images of IHC staining for CD4, CD8, F4/80, CD56, and PD-L1 in tumor tissues (scale bars = 100 μm). Quantification of IHC staining is shown (n = 6). Black arrows indicate positive staining cells. Data are shown as mean ± SD. *P < 0.05, **P < 0.01 and ***P < 0.001 vs shNC group.

IGF2BP1 knockdown inhibits HCC progression via activating immune cell recruitment and decreasing PD-L1 expression in TIME. (A) IGF2BP1 expression profile across a variety of malignancies compared with normal tissues from the GEPIA database. (B) IGF2BP1 expression levels in LIHC were positively associated with advanced tumor stage determined by TCGA database using UALCAN database. (C) IGF2BP1 expression levels were increased in tumor tissues (n = 90) compared with their matched adjacent nontumoral tissues (n = 90), as shown in representative immunohistochemical images and mean staining scores. Black arrows indicate IGF2BP1 positive staining cells. (D) Images of tumor tissues in IGF2BP1-silenced H22 tumor-bearing mice compared to the shNC group (n = 6). (E) The weight of subcutaneous xenograft tumors (n = 6). (F) The dynamic change of tumor volume in subcutaneous models was shown at two weeks after injection. (G) Representative histological analysis of tumor specimen stained by H&E, Ki-67, and TUNEL (scale bars = 100 μm). Quantification of Ki-67 and TUNEL is shown (n = 6). (H) Representative images of IHC staining for CD4, CD8, F4/80, CD56, and PD-L1 in tumor tissues (scale bars = 100 μm). Quantification of IHC staining is shown (n = 6). Black arrows indicate positive staining cells. Data are shown as mean ± SD. *P < 0.05, **P < 0.01 and ***P < 0.001 vs shNC group. To evaluate the potential role of IGF2BP1 in LIHC progression, we initially established an H22 tumor-bearing model in mice and found that IGF2BP1 knockdown significantly suppressed xenograft tumor growth in BALB/c mice with no obvious change in body and organ weight (Figures D–F and S1C,D). As shown in Figure G, IGF2BP1 knockdown effectively compromised the structure of HCC cells and reduced Ki-67 positive cell counts, indicating that IGF2BP1 contributed to major effects in tumor cell survival. Terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) assays revealed that IGF2BP1 knockdown also induced tumor cell apoptosis. Considering that cancer cells undergoing apoptosis usually induce an immune response, we next evaluated the relationship between IGF2BP1 expression and the tumor-infiltrating immune cell response in HCC. Immunohistochemistry (IHC) revealed that IGF2BP1 knockdown resulted in higher percentages of infiltrating CD4+ and CD8+ T cells as well as CD56+ NK cells and F4/80+ macrophage infiltration in tumors (Figure H). Since the PD-L1 immune checkpoint also played a crucial role in TIME, we then detected PD-L1 expression. As expected, IGF2BP1 knockdown significantly suppressed PD-L1 expression (Figure H). Collectively, these data suggested that IGF2BP1 dysfunction caused cancer apoptosis, thereby leading to antitumor immunity by recruiting tumor-infiltrating immune cells and blocking immunosuppressive factor PD-L1 expression.

Discovery of CuB as an IGF2BP1-Targeting Small Molecule

Our exploration of public databases showed that IGF2BP1 was commonly upregulated in numerous cancer types, which can act as an oncogene by promoting the stability, localization, and translation of cancer-related mRNA targets in an m6A-dependent manner. In light of these findings, we therefore sought to identify small molecules that could selectively disrupt the interaction between IGF2BP1 and m6A targets. To this end, we established a high-throughput screening system (Figure A). First, we synthesized a methylated single-stranded RNA bait (ss-m6A), with a GG(m6A)CU consensus sequence and an unmethylated control RNA (ss-A) for surface plasmon resonance (SPR) analysis.[27,28] Results showed that the ss-m6A probe specifically bound to IGF2BP1 with a dissociation constant (KD) of 18.3 nM, almost 13-fold lower than the ss-A probe (Figure S2A,B). Then, high-throughput screening identified six candidates with its inhibitory effect over 70% (Figures B and S2C) from a previously established Medicinal Natural Products Library (a total of 889 compounds). A subsequent round of antiproliferative assay on Huh7 cells identified cucurbitacin B (CuB), with a half-maximal inhibitory concentration (IC50) of 4.1, 1.7, and 1.0 μM for 24, 48, and 72 h, respectively (Figure S2D,E). The SPR quantification analysis revealed the strong binding ability of CuB with IGF2BP1 with a dissociation constant (KD) of 1.2 μM (Figure C). We also used isothermal titration calorimetry (ITC) to confirm that CuB directly interacted with IGF2BP1 (KD = 2.5 μM in a 1:1 ratio; Figure D).
Figure 2

Antihepatocellular carcinoma efficacy of CuB is IGF2BP1-dependent. (A) Schematic diagram of SPR screening for small-molecule disruptors of IGF2BP1-m6A RNA recognition. (B) Inhibition rate of 889 compounds obtained by SPR screening at 10 μM. Black line indicates the criteria (70%). Red points indicate the “hit” candidates of the dose concentrations. Blue points indicate unselected compounds. (C) IGF2BP1 exhibited a potent binding ability with CuB determined by an SPR assay. The kinetic parameter of KD is derived by fitting to a 1:1 Langmuir binding model. (D) ITC thermograms for the interaction between IGF2BP1-KH1–2 with CuB. (E) CuB promoted the resistance of IGF2BP1 to different temperature gradients by CETSA in Huh7 cells. (F) CuB promoted the resistance of IGF2BP1 to proteases by DARTS in Huh7 cells. (G) Biotin-CuB conjugated beads were incubated with Huh7 cells lysates in the presence or absence of excess CuB. (H) Co-localization of Biotin-CuB (green) and IGF2BP1 (red) by immunofluorescence analysis (bar = 25 μm). White arrows indicate overlapped signals. (I) IGF2BP1 knockdown attenuated the antiproliferative effect of CuB in Huh7 cells. (J) IGF2BP1 knockdown blocked the antiproliferative effect of CuB in BALB/c mice bearing H22 xenografts (n = 6). (K) The dynamic change of tumor volume in subcutaneous models was shown at two weeks after injection. Data are shown as mean ± SD. ***P < 0.001 vs shNC-vehicle group. ns, not significant.

Antihepatocellular carcinoma efficacy of CuB is IGF2BP1-dependent. (A) Schematic diagram of SPR screening for small-molecule disruptors of IGF2BP1-m6A RNA recognition. (B) Inhibition rate of 889 compounds obtained by SPR screening at 10 μM. Black line indicates the criteria (70%). Red points indicate the “hit” candidates of the dose concentrations. Blue points indicate unselected compounds. (C) IGF2BP1 exhibited a potent binding ability with CuB determined by an SPR assay. The kinetic parameter of KD is derived by fitting to a 1:1 Langmuir binding model. (D) ITC thermograms for the interaction between IGF2BP1-KH1–2 with CuB. (E) CuB promoted the resistance of IGF2BP1 to different temperature gradients by CETSA in Huh7 cells. (F) CuB promoted the resistance of IGF2BP1 to proteases by DARTS in Huh7 cells. (G) Biotin-CuB conjugated beads were incubated with Huh7 cells lysates in the presence or absence of excess CuB. (H) Co-localization of Biotin-CuB (green) and IGF2BP1 (red) by immunofluorescence analysis (bar = 25 μm). White arrows indicate overlapped signals. (I) IGF2BP1 knockdown attenuated the antiproliferative effect of CuB in Huh7 cells. (J) IGF2BP1 knockdown blocked the antiproliferative effect of CuB in BALB/c mice bearing H22 xenografts (n = 6). (K) The dynamic change of tumor volume in subcutaneous models was shown at two weeks after injection. Data are shown as mean ± SD. ***P < 0.001 vs shNC-vehicle group. ns, not significant. Small molecules may increase the protein stability via forming a ligand–protein complex.[29] To determine the effect of CuB on IGF2BP1 stability, we performed cellular thermal shift assays (CETSA) and found that CuB increased IGF2BP1 thermotolerance in a temperature gradient (37–64 °C) (Figure E). We next conducted a drug-affinity responsive target stability (DARTS) assay, which revealed that incubation with CuB led to a concentration-dependent increase in IGF2BP1 proteolysis (Figure F). To investigate the drug-target engagement of IGF2BP1 in Huh7 cells, we synthesized a biotin-labeled probe (Biotin-CuB) for affinity purification and fluorescent labeling (Figure S2F–I). We found that Biotin-CuB retained the robust inhibition of Huh7 cell viability, indicating that the biotin modification did not affect CuB antitumor activity (Figure S2J). A pull-down assay demonstrated that Biotin-CuB could effectively capture native IGF2BP1 from cell lysates (Figure G). Further immunofluorescence staining showed obvious overlap (yellow) between the IGF2BP1 (red) and Biotin-CuB (green) signals, indicating a direct interaction of CuB-IGF2BP1 in cells (Figure H). In addition, IGF2BP1 knockdown markedly abolished CuB-mediated inhibition of tumor cell proliferation both in vitro and in vivo (Figures I–K and S2K). We also evaluated the proteome-wide selectivity of IGF2BP1 with CuB in cells. A pull-down assay coupled with silver staining and a liquid chromatography-mass spectrometry (LC-MS) analysis demonstrated that IGF2BP1 served as a specific CuB-binding protein in the proteome-wide scale (Figure S2L, Table S1). Collectively, these findings suggested that CuB directly targeted IGF2BP1 in Huh7 cells.

Cys253 Serves as a Covalent Modification Site of CuB

To investigate the residues involved in CuB interaction with IGF2BP1, we first tested whether CuB could covalently bind with IGF2BP1. Western blots revealed that IGF2BP1 was pulled down by Biotin-CuB bound beads, which was abolished by cotreatment with free CuB (Figure A). However, when IGF2BP1 was preincubated with Biotin-CuB beads, post-treatment with an excess of free CuB did not affect IGF2BP1 binding to the beads, indicating the formation of covalent bonds between CuB and IGF2BP1 protein (Figure B). Considering that CuB contains an α,β-unsaturated carbonyl group, which potentially reacts with the thiol of cysteine on IGF2BP1, we next incubated IGF2BP1 with Biotin-CuB beads in the presence or absence of β-mercaptoethanol (BME)/dithiothreitol (DTT) to investigate whether there was a competitive binding with IGF2BP1 via thiols. As shown in Figure C, BME or DTT significantly attenuated IGF2BP1 binding to Biotin-CuB beads, which suggested that CuB could covalently bind to the thiols of cysteine.
Figure 3

Cys253 is a covalent binding site of IGF2BP1. (A) The recombinant IGF2BP1 protein was incubated with Biotin-CuB beads in the absence or presence of CuB for competitive binding. (B) The recombinant IGF2BP1 protein was preincubated with Biotin-CuB beads for 12 h and then further incubated with or without CuB for competitive binding. (C) Covalent binding of CuB to IGF2BP1. The recombinant IGF2BP1 protein was preincubated with DTT (1 mM) or BME (1 mM) for 2 h (Δ, thermal denaturation) and then further incubated with Biotin-CuB beads at 4 °C for 12 h. (D) Diagrams of IGF2BP1 domains and deletion mutants. (E) CuB interacted with KH domain of IGF2BP1. Recombinant IGF2BP1 mutants were incubated with Biotin-CuB beads at 4 °C for 12 h, and the proteins bound to Biotin-CuB beads were detected by a western blot. (F) CuB interacted with the KH1–2 domain of IGF2BP1. Recombinant IGF2BP1 mutants were incubated with Biotin-CuB beads at 4 °C for 12 h, and the proteins bound to Biotin-CuB beads were detected by a western blot. (G) Typsin-digest LC-MS/MS analysis indicated modification of IGF2BP1 by CuB at residue Cys253. Recombinant IGF2BP1-KH1–2 protein was incubated in the absence (left) or presence (right) of CuB at 4 °C for 12 h. (H) Cys253 mutation blocked the interaction of CuB with IGF2BP1. Recombinant IGF2BP1-KH1–2 protein and its mutants were incubated with Biotin-CuB beads at 4 °C for 12 h. (I) Molecular docking of CuB toward IGF2BP1-KH1–2 (PDB: 6QEY).

Cys253 is a covalent binding site of IGF2BP1. (A) The recombinant IGF2BP1 protein was incubated with Biotin-CuB beads in the absence or presence of CuB for competitive binding. (B) The recombinant IGF2BP1 protein was preincubated with Biotin-CuB beads for 12 h and then further incubated with or without CuB for competitive binding. (C) Covalent binding of CuB to IGF2BP1. The recombinant IGF2BP1 protein was preincubated with DTT (1 mM) or BME (1 mM) for 2 h (Δ, thermal denaturation) and then further incubated with Biotin-CuB beads at 4 °C for 12 h. (D) Diagrams of IGF2BP1 domains and deletion mutants. (E) CuB interacted with KH domain of IGF2BP1. Recombinant IGF2BP1 mutants were incubated with Biotin-CuB beads at 4 °C for 12 h, and the proteins bound to Biotin-CuB beads were detected by a western blot. (F) CuB interacted with the KH1–2 domain of IGF2BP1. Recombinant IGF2BP1 mutants were incubated with Biotin-CuB beads at 4 °C for 12 h, and the proteins bound to Biotin-CuB beads were detected by a western blot. (G) Typsin-digest LC-MS/MS analysis indicated modification of IGF2BP1 by CuB at residue Cys253. Recombinant IGF2BP1-KH1–2 protein was incubated in the absence (left) or presence (right) of CuB at 4 °C for 12 h. (H) Cys253 mutation blocked the interaction of CuB with IGF2BP1. Recombinant IGF2BP1-KH1–2 protein and its mutants were incubated with Biotin-CuB beads at 4 °C for 12 h. (I) Molecular docking of CuB toward IGF2BP1-KH1–2 (PDB: 6QEY). We further wondered which domain of IGF2BP1 interacted with CuB. IGF2BP1 consists of six functional domains, including RRM1–2 and KH1–4 (Figure D). In order to identify the specific CuB binding site on IGF2BP1, we performed pull-down assays with IGF2BP1 variants harboring truncations of the two RRM or four KH domains. These results revealed that IGF2BP1 could still interact with Biotin-CuB beads despite deletion of both N-terminal RRM domains. However, deletion of the C-terminal KH domains abolished its binding with the Biotin-CuB beads (Figure E). Successive truncations showed that the KH1–2 domains, but not KH3–4 domains, were indispensable for interaction with CuB (Figure F). A basic local alignment search tool (BLAST) analysis using the IGF2BP1-KH1–2 protein sequence as a query revealed four cysteine residues. To determine which cysteine residue was attacked by CuB, we incubated recombinant IGF2BP1 with or without CuB and then conducted an LC-MS/MS analysis to determine which tryptic peptides contain a CuB modification. This analysis identified a peptide with a calculated mass of 2347.0571 Da, which was 558.3156 Da larger than the Cys253-containing peptide ENAGAAEKAISVHSTPEGCSSACK (2905.3727 Da) (Figure G, Table S2). This mass difference of 558.3156 Da exactly matched the molecular weight of the CuB. The mass shift was not observed in fragment ion y2+, indicating that the cysteine in this peptide (Cys253 in IGF2BP1) was covalently modified by CuB. To test whether this residue was indeed the relevant site for CuB binding, we next introduced nonsynonymous mutations that converted four cysteine residues to serines in the KH1–2 domains. Pull-down assays further supported that CuB covalently modified Cys253 but not other cysteines including Cys257, Cys336, and Cys337 (Figure H). Moreover, we re-expressed IGF2BP1WT or IGF2BP1C253S mutant in IGF2BP1 knockdown Huh7 cells and then examined the antiproliferative effect of CuB. Interestingly, IGF2BP1WT, but not IGF2BP1 C253S variant, restored the CuB-mediated inhibition of Huh7 cell proliferation with IC50 3.1 μM for 48 h (Figure S3A). Additionally, the CuB-EGCSS (a synthetic peptide) complex formation was also accurately confirmed and quantified using both LC-MS and NMR analysis (Figure S3B–F). Together, these results suggested that cysteine could form a covalent adduct on an α,β-unsaturated carbonyl group of CuB via a Michael addition. Finally, to determine whether other noncovalent interactions participated in IGF2BP1-CuB complex formation, we performed molecular docking simulations using Maestro (Schrödinger, ver. 9.0). We found that the stereo conformation of CuB fitted well with the binding site around reactive Cys253 and that 21-hydroxyl and 22-keto groups of CuB could form additional hydrogen bonds with Gln 341 and Ser254 residues, respectively (Figure I). Collectively, these results indicated that CuB covalently bound to the Cys253 residue of IGF2BP1 via a Michael addition reaction.

CuB Allosterically Regulates IGF2BP1 Conformation Via Cys253

Allosteric effects represent a crucial mechanism for regulating protein function.[30] Since the IGF2BP1-KH1–2 domains formed a stable monomeric structural unit for m6A RNA binding, we then speculated that CuB could affect the IGF2BP1 conformation due to their high modification efficiency. To this end, we quantified tryptophan fluorescence in recombinant IGF2BP1-KH1–2WT or IGF2BP1-KH1–2C253S. We found that CuB caused a concentration-dependent decrease of the tryptophan fluorescence intensity, but not in the C253S variant, implying that CuB may induce conformational changes by binding with Cys253 in IGF2BP1-KH1–2 (Figure A,B). We then used circular dichroism (CD) spectroscopy to determine the secondary structure of IGF2BP1-KH1–2 and found the typical α-helix-rich protein characteristics reported in previous studies.[25] Upon exposure of IGF2BP1-KH1–2 to CuB, we observed a progressive decrease in the molar ellipticity values at 222 nm, suggesting a concentration-dependent reduction in protein helicity (Figure C). These findings revealed that complex formation with CuB likely induced conformational changes in IGF2BP1-KH1–2.
Figure 4

CuB allosterically regulates the IGF2BP1 conformation. (A) Fluorescence spectroscopy analysis for CuB-mediated recombinant IGF2BP1-KH1–2 conformational change. (B) Cys253 mutation blocked the conformation change of recombinant IGF2BP1-KH1–2. (C) CD spectra analysis for CuB-mediated recombinant IGF2BP1-KH1–2 conformational change. (D) CuB allosterically regulated the recombinant IGF2BP1-KH1–2 conformation by HDX-MS. Deuterium uptake plots of these peptides upon addition of CuB were presented, and the molar ratios of IGF2BP1-KH1–2 to CuB were presented in the top right of the deuterium uptake plots. Peptides with a higher or lower deuterium uptake ratio after a CuB treatment were highlighted in red or blue colors on an X-ray crystal structure of IGF2BP1-KH1–2 (PDB: 6QEY), respectively.

CuB allosterically regulates the IGF2BP1 conformation. (A) Fluorescence spectroscopy analysis for CuB-mediated recombinant IGF2BP1-KH1–2 conformational change. (B) Cys253 mutation blocked the conformation change of recombinant IGF2BP1-KH1–2. (C) CD spectra analysis for CuB-mediated recombinant IGF2BP1-KH1–2 conformational change. (D) CuB allosterically regulated the recombinant IGF2BP1-KH1–2 conformation by HDX-MS. Deuterium uptake plots of these peptides upon addition of CuB were presented, and the molar ratios of IGF2BP1-KH1–2 to CuB were presented in the top right of the deuterium uptake plots. Peptides with a higher or lower deuterium uptake ratio after a CuB treatment were highlighted in red or blue colors on an X-ray crystal structure of IGF2BP1-KH1–2 (PDB: 6QEY), respectively. To explore the allosteric mechanism in fine detail, we performed hydrogen–deuterium exchange mass spectrometry (HDX-MS). IGF2BP1-KH1–2 is comprised of two domains containing six α-helices (α1-α3) with short loops between them. The HDX-MS profile of IGF2BP1-KH1–2 revealed that the amino acids in loops exposed to buffer had a higher deuterium uptake than buried regions with a well-ordered α-helical secondary structure. Moreover, CuB increased the hydrogen/deuterium exchange levels of two specific peptides, namely, YNPERTIT in the β3-strand and IMKKVRE in the α3-helix of the KH2 domain, and slightly decreased the hydrogen/deuterium exchange level of the RAEQEIM peptide in KH-2 α3-helix, which was essential for the stability of the monomeric units for RNA binding (Figures D and S4).[25] The decrease in the hydrogen/deuterium exchange rate at the α3-helix revealed that CuB was embedded in the KH2 domain, thereby impairing IGF2BP1 binding to its targets. Together, these results confirmed that CuB could act as an allosteric regulator of IGF2BP1.

CuB Suppresses IGF2BP1 Recognition of m6A mRNA Targets

To investigate whether allosteric regulation of IGF2BP1 by CuB had an impact on m6A targets, we conducted RNA pull-down assays using ss-m6A and ss-A. Notably, the data supported that IGF2BP1 preferentially bound to the ss-m6A probe, which was reversed in the presence of CuB (Figure A). However, the specific interaction between methylated RNA bait and IGF2BP1 could not be disturbed by the CuB treatment in its mutant, suggesting the inhibition effect of CuB was Cys253-dependent (Figure B). Additionally, these observations were confirmed by a quantitative SPR analysis in which CuB specifically disrupted the IGF2BP1 interaction with the ss-m6A probe (Figure C). Collectively, these data implied that CuB may block IGF2BP1 binding to mRNAs.
Figure 5

CuB inhibits IGF2BP1 binding to mRNA targets in an m6A-dependent manner. (A) CuB inhibited IGF2BP1 interaction with the ss-m6A probe using a pull-down assay. (B) Cys253 mutation abolished the inhibitory effect of CuB on IGF2BP1 interaction with ss-m6A. (C) CuB attenuated IGF2BP1 interaction with ss-m6A in the presence of CuB for the competitive binding by an SPR analysis. (D) CuB blocked the protection effect of IGF2BP1 on the ss-m6A probe by agarose gel electrophoresis in the presence of RNase. (E) Determination of global m6A abundance in Huh7 cells upon CuB treatment for 24 h via a dot blot assay. Methylene blue represents the loading control of RNA samples. (F) Quantitation of the percentage of m6A/A in mRNA by LC-MS/MS in Huh7 cells treated with CuB for 24 h. Data are shown as mean ± SD. ***P < 0.001 vs Ctrl group. ns, not significant.

CuB inhibits IGF2BP1 binding to mRNA targets in an m6A-dependent manner. (A) CuB inhibited IGF2BP1 interaction with the ss-m6A probe using a pull-down assay. (B) Cys253 mutation abolished the inhibitory effect of CuB on IGF2BP1 interaction with ss-m6A. (C) CuB attenuated IGF2BP1 interaction with ss-m6A in the presence of CuB for the competitive binding by an SPR analysis. (D) CuB blocked the protection effect of IGF2BP1 on the ss-m6A probe by agarose gel electrophoresis in the presence of RNase. (E) Determination of global m6A abundance in Huh7 cells upon CuB treatment for 24 h via a dot blot assay. Methylene blue represents the loading control of RNA samples. (F) Quantitation of the percentage of m6A/A in mRNA by LC-MS/MS in Huh7 cells treated with CuB for 24 h. Data are shown as mean ± SD. ***P < 0.001 vs Ctrl group. ns, not significant. We then hypothesized that CuB could reduce IGF2BP1 target stability by disrupting their interaction. To this end, we examined ss-m6A concentrations in the presence of IGF2BP1 with or without CuB. As shown in Figure D, IGF2BP1-KH1–2 protein significantly limited ss-m6A probe degradation upon RNase, which was substantially abolished by CuB. These results suggested that CuB could reduce the stability of m6A mRNA via an IGF2BP1-dependent manner. Furthermore, in m6A dot blot assays, we found that a CuB treatment resulted in a substantial decrease in transcriptome-wide m6A abundance in Huh7 cells, which was reversed in IGF2BP1 knockdown cells (Figure E). LC-MS/MS quantification further confirmed the decrease in m6A mRNA after exposure to CuB (Figure F). We next sought to confirm the inhibitory effect of CuB on IGF2BP1-mediated mRNA stabilization. We found that CuB significantly decreased the transcript abundance of c-MYC, KRAS, MARCKSL1, and FSCN1 in Huh7 cells, which was abolished in IGF2BP1 knockdown Huh7 cells. In addition, CuB-mediated degradation effects were markedly reversed by re-expressed IGF2BP1WT but not IGF2BP1C253S mutant (Figures A and S5A). Thus, these observations supported that CuB regulated mRNA stability in an IGF2BP1-dependent manner particularly via the Cys253 site.
Figure 6

CuB reduces the m6A mRNA stability via directly targeting IGF2BP1. (A) Effects of CuB treatment of 24 h on c-MYC and KRAS mRNA expression in Huh7 cells by RT-PCR. (B) KRAS and c-MYC mRNA stability changes in Huh7 cells upon CuB treatment. (C) Effects of CuB treatment of 24 h on KRAS and c-MYC expression levels in Huh7 cells by a western blot. (D) Fluorescence in situ hybridization images of labeled c-MYC RNA upon CuB treatment for 24 h in Huh7 cells. White arrows indicate overlapped signals. (E) Heat map of differentially regulated proteins involved in significantly canonical pathways after treatment with CuB for 12 h in Huh7 cells. (F) KEGG pathway enrichment analysis for the significantly differentially regulated protein predicted the significantly canonical pathways. (G) HuR, MATR3, and PABPC1 interaction with IGF2BP1 was inhibited by CuB in Huh7 cells after 12 h of treatment, respectively. (H) Schematic of IGF2BP1-m6A mRNA interaction and partners regulation in response to CuB treatment. Data are shown as mean ± SD. **P < 0.01 and ***P < 0.001 vs Ctrl group. ns, not significant.

CuB reduces the m6A mRNA stability via directly targeting IGF2BP1. (A) Effects of CuB treatment of 24 h on c-MYC and KRAS mRNA expression in Huh7 cells by RT-PCR. (B) KRAS and c-MYC mRNA stability changes in Huh7 cells upon CuB treatment. (C) Effects of CuB treatment of 24 h on KRAS and c-MYC expression levels in Huh7 cells by a western blot. (D) Fluorescence in situ hybridization images of labeled c-MYC RNA upon CuB treatment for 24 h in Huh7 cells. White arrows indicate overlapped signals. (E) Heat map of differentially regulated proteins involved in significantly canonical pathways after treatment with CuB for 12 h in Huh7 cells. (F) KEGG pathway enrichment analysis for the significantly differentially regulated protein predicted the significantly canonical pathways. (G) HuR, MATR3, and PABPC1 interaction with IGF2BP1 was inhibited by CuB in Huh7 cells after 12 h of treatment, respectively. (H) Schematic of IGF2BP1-m6A mRNA interaction and partners regulation in response to CuB treatment. Data are shown as mean ± SD. **P < 0.01 and ***P < 0.001 vs Ctrl group. ns, not significant. Then, we observed that CuB dramatically decreased the half-life of both c-MYC and KRAS mRNAs (Figure B). Western blots supported the inhibitory effects of CuB on c-MYC and KRAS accumulation at the protein level (Figure C). Moreover, RNA-fluorescence in situ hybridization (RNA-FISH) assays also confirmed that CuB inhibited IGF2BP1 colocalization with c-MYC mRNA (Figure D). Subsequently, we performed coimmunoprecipitation (Co-IP) experiments to dissect the effect of CuB on IGF2BP1 partners. The protein levels of these participants were normalized by IGF2BP1 and then compared with a control (Ctrl) group to give the differentially regulated proteins (DRPs). Protein identification of the Huh7 cell lysates against the Thermo Proteome Discoverer database showed more than 250 candidates were identified, and 60 DRPs with a |log2foldchange| > 1 was examined for enrichment in a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis (Table S3). The global pathway networks were mainly involved in the cell cycle, spliceosome, mRNA surveillance pathway, RNA transport, or RNA degradation (Figure E,F). Notably, CuB negatively regulated the accumulation of previously reported mRNA stabilizers HuR, MATR3, and PABPC1,[13] which were enriched in these pathways. Western blots confirmed that CuB treatment remarkably impaired IGF2BP1 interaction with these partners, but without obvious changes in their protein expression levels (Figures G and S5B, Table S4). Collectively, these findings suggested that CuB effectively reduced m6A RNA stability in an IGF2BP1-dependent manner (Figure H). Additionally, to investigate the role of IGF2BP1 as an effector of CuB, we compared the transcriptome changes by a CuB treatment or IGF2BP1 knockdown in Huh7 cells. We observed 1472 genes with altered expression in wild-type cells treated with CuB and 1375 genes with altered expression after IGF2BP1 knockdown. Given that IGF2BP1 was typically associated with mRNA stability and translation, we then focused on the genes that were downregulated by a CuB treatment. As a result, 846 of 1472 downregulated genes (57.5%) by CuB were also observed in the IGF2BP1 knockdown cells (Figure S6A, Table S5). These results indicated that the CuB treatment phenocopied the genetic IGF2BP1 knockdown on the gene expression pattern. Furthermore, we performed a gene ontology (GO) enrichment analysis, including cellular component (CC), biological process (BP), and molecular function (MF), to elucidate the potential functions of these downregulated differentially expressed genes. As shown in Figure S6B, many of these genes were involved in the regulation of transcription, apoptosis process, cell cycle, and inflammatory response. The global pathway network depicting the KEGG pathway analysis were mainly enriched in signaling pathways mediated by cytokines, such as tumor necrosis factor (TNF), toll-like receptor, and NF-κB (Figure S6C). Together, these findings supported the conclusion that CuB promoted IGF2BP1-dependent target mRNA degradation to induce tumor cell apoptosis.

CuB Exerts Antitumor Effects Via Recruiting Immune Cells and Blocking PD-L1 Expression

To determine whether CuB could inhibit tumor growth in vivo, we examined its effects on H22-derived tumors in BALB/c mice (Figure A). Following the intraperitoneal injection of CuB (1 or 5 mg/kg) once daily for 14 d, in agreement with our above results, CuB treatment led to substantially reduced tumor volume and weight in xenograft model mice compared with a control group with no obvious change in body and organ weight (Figures B–D and S7A,B). A pathological examination by H&E staining showed that xenograft tumor cells were loosely packed with small nuclei compared with a control group (Figure E). In Ki-67 and TUNEL IHC assays, CuB strongly suppressed the expression of Ki-67 positive cells and induced apoptosis of HCC cells (Figure E), indicating that CuB triggered an obvious antitumor effect.
Figure 7

CuB exerts antitumor effects via activation of the TIME. (A) Schematic diagram of the CuB administration procedure in the established H22 tumor-bearing mice. BALB/c mice bearing an H22 xenograft were given CuB (1 or 5 mg/kg) by intraperitoneal injection per day for a 14 d treatment. (B) Images of excised tumors after the CuB treatment in BALB/c mice bearing H22 xenografts (n = 6). (C) The dynamic change of tumor volume in subcutaneous models was shown. (D) The weight of subcutaneous xenograft tumors (n = 6). (E) Representative histological analysis of tumor specimen stained by H&E, Ki-67, and TUNEL (scale bars = 100 μm). (F) Representative images of IHC staining for CD4, CD8, F4/80, CD56, and PD-L1 in tumor tissues. Black arrows indicate positive staining cells. Quantification of IHC staining is shown (n = 6). Data shown as mean ± SD. **P < 0.01 and ***P < 0.001 vs vehicle group.

CuB exerts antitumor effects via activation of the TIME. (A) Schematic diagram of the CuB administration procedure in the established H22 tumor-bearing mice. BALB/c mice bearing an H22 xenograft were given CuB (1 or 5 mg/kg) by intraperitoneal injection per day for a 14 d treatment. (B) Images of excised tumors after the CuB treatment in BALB/c mice bearing H22 xenografts (n = 6). (C) The dynamic change of tumor volume in subcutaneous models was shown. (D) The weight of subcutaneous xenograft tumors (n = 6). (E) Representative histological analysis of tumor specimen stained by H&E, Ki-67, and TUNEL (scale bars = 100 μm). (F) Representative images of IHC staining for CD4, CD8, F4/80, CD56, and PD-L1 in tumor tissues. Black arrows indicate positive staining cells. Quantification of IHC staining is shown (n = 6). Data shown as mean ± SD. **P < 0.01 and ***P < 0.001 vs vehicle group. Next, we performed IHC staining to evaluate the proportions of tumor-infiltrating immune cells in HCC. As expected, we found obvious elevations in the number of CD4+ and CD8+ T cells in CuB-treated mice, demonstrating that CuB could increase intratumoral T cell infiltration (Figure F). As a crucial T cell immune checkpoint protein, we then investigated whether CuB exposure affected PD-L1 expression. IHC assays revealed that CuB dramatically attenuated the cell surface PD-L1 expression in H22 xenograft mice in vivo (Figure F). Taken together, these results suggested that CuB triggered antitumor immunity by synchronously recruiting immune cells and blocking immunosuppressive PD-L1 expression.

Discussion

Previous investigations identified BTYNB as the first small-molecule inhibitor of IGF2BP1 binding to target mRNAs that showed therapeutic potential by inhibition of IGF2BP1-positive cancer cell proliferation.[31,32] However, it remained unclear whether BTYNB could directly bind with IGF2BP1. In this study, we discovered that CuB, a tetracyclic triterpenoid, could directly target IGF2BP1, resulting in HCC cell apoptosis and increased intratumoral T cell infiltration in an m6A-dependent manner. In particular, we identified Cys253, which represented a unique druggable active site in the KH1–2 domain of IGF2BP1. Generally, IGF2BP1 carries six conserved RNA-binding domains, including four KH domains and two RRMs. It is noteworthy that the KH1–2 domain plays an essential role in stabilizing IGF2BP1-RNA complexes via mediating IGF2BP1 binding to cis-elements in the 3′-UTR of the target gene mRNA.[25] CuB could allosterically regulate of the KH1–2 domain to prevent IGF2BP1-dependent m6A mRNA binding by increasing anisotropy at the IGF2BP1 protein surface. Therefore, we provided, to our knowledge, the first demonstration of a small-molecule-mediated allosteric negative regulatory mechanism controlling the IGF2BP1 stabilization of m6A-modified mRNAs. Covalent inhibitors are currently recognized as a major resource for drug discovery and therapeutic development.[33,34] Here, we found that a double bond conjugated with a carbonyl group in CuB could be attacked by Cys253 of IGF2BP1 through a thiol-Michael addition reaction, resulting in an irreversible covalent product and allosteric change of IGF2BP1. Interestingly, we incubated CuB with mercapto-rich reagents (e.g., cysteine or 2-mercaptoethanol) in an aqueous environment but did not detect the expected addition products. Instead, our result suggested that the attack of CuB by Cys253 may be governed by the local chemical environment. First, the IGF2BP1 ligand-binding domain provided a high-affinity target-binding cavity-like structure via hydrogen bonding and electrostatic attraction, further prolonging the CuB residence time at the reaction site and increasing the collision probabilities to reaction rate. In addition, the active pocket in IGF2BP1 may also provide effective support for unstable high-energy reaction intermediates, although further experimental evidence is needed to support this hypothesis. Immunotherapy can help to strengthen or restore the immune system ability to fight cancer. c-MYC, overexpressed in many human cancers, is a transcription factor that regulates the expression of numerous genes involved in cell proliferation, growth, differentiation, and apoptosis.[35,36] c-MYC is considered as a central regulator of PD-L1 expression by directly binding to the PD-L1 promoter in various cancer types.[37,38] Thus, silencing c-MYC expression leads to tumor regression through remodeling of the TIME in multiple tumor models. In addition, c-MYC knockdown can further enhance the immune response by promoting immune cell tumor infiltration. Therefore, therapies suppressing c-MYC expression could restore the anticancer immune response. Our finding highlighted the potential effectiveness of strategies targeting IGF2BP1 with a small molecule to reshape TIME in an m6A-dependent manner. Collectively, this study revealed IGF2BP1 as a novel allosteric target for cancer therapeutics via regulating TIME. Moreover, CuB may serve as a promising drug candidate for developing a mechanistic understanding of IGF2BP1 biology in m6A regulation.

Materials and Methods

Chemicals and Reagents

Cucurbitacin B (C32H46O8) was purchased from Baoji Herbest Biotech, and the purity was determined to be 99.35% based on high-performance liquid chromatography (HPLC). Biotin-linker (C17H28N2O5S) was obtained by Wuxi App Tech. Fetal bovine serum (FBS) was from PAN-Biotech. Antibiotics and trypsin were from Macgene. Deionized water was obtained from a Milli-Q system. Lipofectamine RNA iMAX and Lipofectamine 2000 were obtained from Thermo Fisher Scientific. Pronase was from Roche Diagnostics GmbH. Ki-67, CD4, CD8, CD56, F4/80, c-MYC, KRAS, m6A, PABPC1, MATR3, HuR, and HA antibodies were from Cell Signaling Technology. Antibodies against IGF2BP1, PD-L1, and HRP-conjugated goat antirabbit IgG were supplied by Proteintech Group. An RNA FISH kit was obtained from GenePharma. ss-m6A, ss-A, and EGGCS peptide were synthesized by GenScript. The IGF2BP1 shRNA plasmid for mouse was purchased from Santa Cruz Biotechnology. The primers were designed and synthesized by Shanghai Generay Biotech.

Synthesis of Biotin-CuB Probe

CuB (558.7 mg, 1 mmol, 1 equiv), Biotin-linker (372.5 mg, 1 mmol, 1 equiv), N,N′-dicyclohexylcarbodiimide (DCC) (309.1 mg, 1.5 mmol, 1.5 equiv), and 4-dimethylaminopyridine (DMAP) (183.3 mg, 1.5 mmol, 1.5 equiv) were dissolved with 5 mL of dichloromethane solvent. The reaction mixture was stirred at room temperature overnight, and then the reaction was terminated by adding onefold deionized water. The mixture was extracted with 15 mL of ethyl acetate three times. The organic extracts were concentrated to dryness under vacuum. The residue was prepared by semipreparative HPLC eluting with 80% (v/v) acetonitrile (ACN)/H2O to yield Biotin-CuB (400.5 mg, 43.8% yield). The chemical structure of Biotin-CuB was determined by NMR.

Bioinformatics Analysis of Liver Hepatocellular Carcinoma in TCGA Database

The Cancer Genome Atlas is a data resource for cancer bioinformatics analysis. UALCAN (http://ualcan.path.uab.edu) and GEPIA (http://gepia.cancer-pku.cn) are two web-based tools for analyzing TCGA clinical data to evaluate the association of gene expression and patient survival. The UALCAN Web site was applied to analyze the expression difference of target genes based on individual cancer stages. A five-year survival analysis was conducted on genes with high or low expression using the GEPIA Web site.

Immunohistochemical Staining for Tissue Microarray Analysis

The tissue chip HLivH180Su18, which contained samples form 90 cases of human hepatocellular carcinoma, was purchased from Shanghai Outdo Biotech. Informed consent was obtained from all subjects in accordance with the protocol approved by the individual institutional Ethics Committees. Sections were semiquantitatively scored for the IGF2BP1 staining patterns as follows: the staining intensity was quantified as 0 (negative), 1+ (weak), 2+ (intermediate), or 3+ (strong).

High-Throughput SPR Screening for Small-Molecule Inhibitors

SPR screening was performed using a Biacore 8k (GE healthcare) instrument at 25 °C. A CM5 sensor chip was active by using sulpho-N-hydroxysuccinimide (NHS)/1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) chemistry. The chip was subsequently immobilized with the streptavidin at a concentration of 500 μg/mL in sodium acetate, pH 4.5, and then immobilized with a biotin-modified ss-m6A probe at 10 ng/mL. Various concentrations of recombinant IGF2BP1 were injected for method validation at a flow rate of 30 μL/min in PBS-P (10 mM phosphate buffer with 2.7 mM KCl and 137 mM NaCl, 0.05% Surfactant P20, and 5% dimethyl sulfoxide (DMSO)) running buffer. The Medicinal Natural Products Library contains 889 compounds that were dissolved in DMSO and further diluted with PBS-P buffer and analyzed at a final concentration of 20 μM (5% DMSO). The results were analyzed with the Biacore evaluation sofeware (8k, ver. 2.0). The interaction between CuB and IGF2BP1 was fitted to the steady-state affinity model to obtain results.

Mice and Cell Lines

Male BALB/c mice (four weeks) were purchased from the Department of Laboratory Animal Science of Peking University Health Science Center and maintained under specific pathogen-free (SPF) conditions in a controlled environment of 22–22 °C approved by the Ethical Guidelines of EIACUC-PKU (A2021230). Mice were kept for 48 h to acclimatize to the environment and fasted overnight before treatment. Human hepatoma Huh7, HEK293T, and mouse H22 cells were obtained from Peking Union Medical College, Cell Bank. Cells were routinely maintained in high-glucose Dulbecco’s Modified Eagle’s Medium (DMEM) supplemented with 10% FBS, 100 U/mL penicillin, and 100 μg/mL streptomycin at 37 °C in a 5% CO2 humidified incubator.

Cellular Target Identification of CuB

Huh7 cell lysates were incubated with vehicle or CuB beads in the absence or presence of CuB overnight at 4 °C. The beads were subsequently washed six times with PBS to remove the nonspecific proteins. The beads-binding proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and detected by a silver staining assay. The protein bands with an obvious difference upon CuB treatment were excised, trypsin-digested, and then analyzed by LC-MS/MS. The trypsin-digested peptides were filtered through the 0.22 μm micropore membrane and then subjected to liquid chromatography coupled with an LTQ Velos pro mass spectrometer (Thermo Scientific). The captrap peptide column was used to load the peptide solution, and then the analytes were separated by an RP-C18Q column (100 μm id ×15 cm) with the column oven temperature of 35 °C.

Identification of CuB-Binding Site on IGF2BP1

Recombinant IGF2BP1 protein was incubated with CuB for 48 h at a concentration of 0.5 mM, and the mixtures were subjected to SDS-PAGE and stained with coomassie blue. The band corresponding to IGF2BP1 was excised and digested in gel with trypsin. Extracted peptides were separated using an EASY-LC system and conducted by nano-liquid chromatography linear trap quadrupole mass spectrometry (LC-LTQ-MS). The mixtures were autosampled directly, bound onto a trapping column, and eluted with the following gradient: 2%–40% B for 70 min; 40%–95% B for 5 min; 95% B for 20 min (solvent A: 0.1% formic acid in H2O, solvent B: 0.1% formic acid in ACN). The eluent was introduced to the mass spectrometer at a flow rate of 300 μL/min. Full scan MS spectra (m/z 350–2000) were acquired in the Orbitrap analyzer with a resolution of 60 000. The top 15 most abundant precursor ions from each MS scan with charge states of at least 2 were selected for MS/MS scans in the linear ion trap analyzer with a collision-induced dissociation (CID) of 35% collision energy. MS data were analyzed with Proteome Discoverer (1.4) software with the SEQUEST search engine (Thermo Fisher Scientific) using the following criteria: taxonomy, human; enzyme, trypsin; missed cleavage sites, 2; variable modifications, methionine oxidation (+15.9950 Da), cysteine carbamidomethylation (+57.0210 Da), cysteine binding with IGF2BP1 (+558.3193 Da); precursor mass tolerance as 10 ppm, fragment mass tolerance as 0.6 Da; and the false discovery rate (FDR) at 0.01.

Western Blot

Total proteins were extracted from the cells by radioimmunoprecipitation assay (RIPA) buffer containing protease inhibitors (Macgene) and centrifuged at 12 000 rpm for 10 min at 4 °C. The total protein concentration was determined by bicinchoninic acid (BCA) protein assay reagent (TransGen). Protein samples were transferred to a poly(vinylidene difluoride) (PVDF) membrane (Millipore) after being separated by SDS-PAGE. Membranes were blocked with 5% skim milk at 25 °C for 30 min and then incubated with primary antibodies overnight at 4 °C. Subsequently, membranes were incubated with horseradish peroxidase (HRP)-conjugated antirabbit or antimouse IgG secondary antibody for 1 h at room temperature. The membranes were analyzed by a Tanon-5200 Multi Gel Imaging Analysis System (Tanon) and quantified by ImageJ software (ver. 1.8.0).

Molecular Docking

An X-ray structure of human IGF2BP1-KH1–2 (PDB: 6QEY) was downloaded from the Protein Data Bank. Molecular docking of CuB to IGF2BP1-KH1–2 was performed using the DS-CDOCKER protocol implemented through the graphical user interface of the Discovery Studio software (ver. 2020). The three-dimensional structure of CuB was constructed using Chem3D Ultra 12.0 software (Chemical Structure Drawing Standard, CambridgeSoft 14.0) and was energetically minimized using the MMFF94 force field with 5000 iterations and a minimum root-mean-squared (RMS) gradient of 0.10.

CETSA

The cellular target identification of CuB was performed using CETSA as previously described.[39] Briefly, the cells were treated with or without CuB for 2 h and then heated individually at different temperatures (37–64 °C) for 3 min followed by cooling on ice. The cell lysates were obtained by five repeated freeze–thaw cycles in liquid nitrogen. The soluble lysates were centrifuged, and supernatants were detected by a western blot.

DARTS Assay

A DARTS assay was conducted as previously described.[39] Briefly, the cell lysates were diluted (1:10) with TNC buffer (50 mM Tris-HCl, 50 mM NaCl, 10 mM CaCl2) and then treated with indicated concentrations of CuB or DMSO as a control. After incubation for 30 min at room temperature, 5 μg/mL Pronase was added, and the mixture was incubated further for 30 min. Reactions were stopped by being mixed with the loading buffer and then were analyzed by a western blot.

Recombinant IGF2BP1 Expression and Purification

The DNA sequences encoding IGF2BP1 and IGF2BP1-KH1–2 were cloned into the KpnI/HindIII restriction sites of the modified pCold-SUMO vector with His-tag. The Artic Express Escherichia coli cells were transformed with the plasmid. This bacterial preculture was poured into 2 L of the same medium and incubated at 37 °C and 160 rpm until OD600 reached 0.6. Then, cells were induced using isopropyl β-d-1-thiogalactopyranoside (IPTG) at a final concentration of 1 mM and incubated at 12 °C for 72 h. Cells were harvested, lysed, and clarified by centrifugation at 12 000 rpm at 4 °C. The supernatant was loaded into a 5 mL His column equilibrated in lysis buffer. Nonspecific binding protein was washed with binding buffer, and recombinant IGF2BP1 was collected with elution buffer (same as the lysis buffer but with 250 mM imidazole). The concentration of IGF2BP1 was quantified by the BCA protein assay reagent.

Co-Immunoprecipitation (Co-IP) Assay

The cells were collected and incubated with immunoprecipitation (IP) buffer (Beyotime) at 4 °C for 20 min. The lysates were then centrifuged at 12 000g at 4 °C for 20 min. The supernatants were collected and incubated with IGF2BP1 antibody for 1 h. The immunocomplexes were then incubated with protein A/G-agarose and agitated on ice for 4 h. The beads were subsequently washed, trypsin-digested, and then analyzed by nano-LC-LTQ-MS with the following gradient: 2%–40% B for 70 min; 40%–95% B for 5 min; 95% B for 20 min (solvent A: 0.1% formic acid in H2O, solvent B: 0.1% formic acid in ACN). Data acquisition was conducted using a data-dependent strategy on a high-resolution LTQ-Orbitrap Velos Pro hybrid mass spectrometer (Thermo Fisher Scientific). The Orbitrap mass spectrometer was equipped with a nanoelectrospray ion source with an ion spray voltage of 1.8 kV and an Orbitrap analyzer with of resolution of 60 000 (full width at half-maximum). Collision energy for CID was set at 25 eV. The raw MS/MS data were then processed, and the protein identification was searched for in the Thermo Proteome Discoverer (v.1.4.1.14) software. Data were expressed from three individual experiments. The signaling pathway enrichment analysis was performed using the KEGG database from the ClueGO program, a plug-in Cytoscape software (v.3.4.0).

Dot Blot Analysis

To determine global m6A abundance, dot blot assays were employed with poly(A)+ RNA. Briefly, the indicated amount of RNA was denatured in a threefold volume of RNA incubation buffer (65.7% fomamide, 7.77% formaldehyde, and 1.33× 3-(N-morpholino)propanesulfonic acid (MOPS)) at 65 °C for 5 min. Then 100 μL of chilled 20× saline–sodium citrate (SSC) buffer was added and mixed well before samples were loaded onto the Amersham Hybond-N+ membrane with a Bio-Dot Apparatus. After it was allowed to cross-link under 254 nm UV for 5 min, the membrane was stained with methyl blue, and the image was captured. The membrane was then washed with PBST buffer, blocked with 5% nonfat milk, and incubated with rabbit anti-m6A antibody overnight at 4 °C. After it was washed three times with phPBST, the membrane was incubated with HRP-conjugated goat antirabbit IgG for 1 h at room temperature. Finally, the membrane was incubated with the HRP-conjugated antirabbit IgG secondary antibody, developed with enhanced chemiluminescence (ECL) substrate, and visualized by Tanon 5200 Imaging Analysis System (Tanon).

Real-Time Quantitative PCR (RT-PCR)

The cells were collected and total RNA was extracted using the RNAprep Pure Cell kit. mRNA was reverse-transcribed using a cDNA synthesis kit (TransGen). Reverse transcription PCR (RT-PCR) was performed using an RT-PCR Superkit (TransGen) on an Agilent Technologies Stratagene Mx3005P System. The primers for quantitative PCR were provided in Table S6. A single cycle was performed at 95 °C for 30 s, 58 °C for 30 s, and 63 °C for 30s, and this cycle was repeated 40 times. The relative transcriptional levels of target genes normalized to those of GAPDH was calculated by the comparative 2–ΔΔCT method.

RNA Stability Assay

The cells were treated with 5 μg/mL actinomycin D in the presence or absence of CuB (10 μM) and then collected at the indicated time. Total RNA was extracted by RNAprep Pure Cell kit and analyzed by RT-PCR. As actinomycin D treatment results in transcription stalling, the change of mRNA concentration at a given time (dC/dt) is proportional to the constant of mRNA decay (Kdecay) and the mRNA concentration (C), leading to the following equation.Therefore, the mRNA degradation rate Kdecay was estimated by ln(C/C0) = −Kdeacyt. To calculate the mRNA half-life (t1/2), when 50% of the mRNA is decayed (that is, C/C0 = 1/2), the equation was: ln(1/2) = −Kdeacyt1/2, from where t1/2 = ln(2)/Kdecay.

Immunofluorescence (IF) Assay

The cells were seeded onto glass coverslips, treated with CuB for 2 h, and fixed in 4% paraformaldehyde for 30 min. After they were washed with phosphate-buffered saline (PBS) three times, cells were permeabilized with 0.1% Triton X-100 for 30 min, blocked with 5% bovine serum albumin (BSA) for 30 min at room temperature, and probed with primary antibody against IGF2BP1 (1:200) or avidin-FITC (1:200) overnight at 4 °C. Then, cells were exposed to Alexa Fluor 594-labled secondary antibodies (1:200) and stained with 4′,6-diamidino-2-phenylindole (DAPI). Image acquisition was achieved using a confocal laser scanning microscope (TCS SP8MP FLIM, Leica).

Isothermal Titration Calorimetry (ITC) Analysis

The binding affinities and thermodynamics of IGF2BP1 protein with CuB were determined using a MicroCal PEAQ-ITC (Malvern Instruments). Prior to titration, 25 μM IGF2BP1 protein was prepared in Akat buffer (50 mM sodium phosphate, pH 7.5, 100 mM NaCl). The sample cell (V = 280 μL) was filled with 25 μM IGF2BP1 protein. Titration with 0.5 mM CuB was performed at 25 °C using an initial injection of 0.4 μL followed by 12 successive injections of 2 μL with a 120 s interval. Data were analyzed by the Origin software package to determine binding parameters, including the association constant (KD), enthalpy value (ΔH), and entropy value (ΔS).

Circular Dichroism (CD) Analysis

A CD analysis was performed using a JASCO J-810 circular dichroism spectropolarimeter (JASCO) for determining the structural changes of IGF2BP1 protein. A quartz cuvette with a path length of 1 mm was used to record CD spectra at a temperature of 298 K for 25 μM IGF2BP1 protein in the absence or presence of CuB. Spectra were recorded over a range of 190–500 nm at 0.2 data interval with a scanning speed of 100 nm/min. Each CD spectrum represented an accumulation of three subsequent scans. Then, all the CD measurements were performed at 25 °C with a scan speed of 100 nm/min and a response time of 1 s. Rectangular quartz cells with a 0.1 cm path length were used for scanning between 190 and 300 nm. To eliminate contributions of CuB in a CD spectrum, the same concentration of CuB (without IGF2BP1) was subtracted from the CD spectra.

Hydrogen–Deuterium Exchange Mass Spectrometry (HDX MS) Analysis

An HDX MS experiment was performed as described previously.[37] Briefly, deuterium labeling was initiated with a 20-fold dilution into D2O buffer (50 mM sodium phosphate, pH 7.4, 100 mM NaCl) of a pre-equilibrated (30 min) aliquot of IGF2BP1 with or without CuB stock solution. After 0.25, 1, 10, 20, 60, and 240 min of labeling, the reaction was quenched with the addition of quenching buffer (37.5% hydrochloric acid). Samples were then injected and online-digested using a Waters Enzymate BEH pepsin column (2.1 × 30 mm, 5 μm). The peptides were trapped and desalted on a VanGuard Precolumn trap (Acquity UPLC BEH C18, 1.7 μm) for 3 min, eluted from the trap using 15% acetonitrile at a flow rate of 100 μL/min, and then separated using an Acquity UPLC BEH C18, 1.7 μm, 1.0 × 100 mm column. All mass spectra data were acquired using a Waters Xevo G2 mass spectrometer. Peptides were identified using ProteinLynx Global Server (PLGS) 3.0.2. Relative deuterium levels of all peptides were calculated by subtracting the mass of the undeuterated control sample from that of the deuterium-labeled sample. All mass spectra data were processed using DynamX 3.0. Deuterium levels were not corrected for back exchange and thus are reported as relative.

Establishment of Lentiviral Vector IGF2BP1-shRNA

The three highest-scoring shRNA sequences targeted for human IGF2BP1 were designed and synthesized by Hanbio Biotechnology using pHBLV-U6-MCS-CMV-ZsGreen–PGK-PURO vector (Table S7). In addition, a green fluorescent protein-tagged lentiviral vector was constructed to verify the efficiency of transfection. Empty vectors were used as a negative control. The original lentiviral vector titers contained 1.0 × 108 TU/mL.

Tumor Xenograft Experiments

IGF2BP1 wild-type or knockdown H22 cells (2 × 106) were mixed with Matrigel in a 1:1 volume on ice and then injected into the flanks of four-week-old BALB/c mice to generate xenografts. When tumors reached ∼100 mm3 in size 7 d later, the mice received an intraperitoneal injection of CuB or 0.9% saline solution daily for 14 d. The tumor volume V was determined every day by measuring the two perpendicular diameters of the tumors and using the formula V = length (mm) × width (mm)2/2, and the body weight was recorded every day. After 14 d of treatment, mice were euthanized with CO2, and then tumors and organs (heart, liver, lung, kidney, and spleen) were weighted and fixed with 4% paraformaldehyde for further studies.

Immunohistochemistry (IHC)

The HCC tissue chips and sections were deparaffinized in xylene and rehydrated to water through descending graded alcohols. Each block has a section for hematoxylin and eosin (H&E) staining. Heat-induced antigen retrieval was achieved by incubating in 0.01 M citrate buffer (pH 6.0) at 90 °C for 20 min. Attenuation of endogenous peroxidases was done by incubation in 3% hydrogen peroxide. Sections were blocked in PBS containing 10% normal goat serum and 0.3% Triton X-100 for 30 min, labeled with Ki-67 (1:200), CD4 (1:800), CD8 (1:500), CD56 (1:500), F4/80 (1:400), and PD-L1 (1:300) antibodies overnight at 4 °C and incubated with the corresponding goat secondary antibody for 1 h at room temperature. Detection was accomplished using 3,3′-diaminobenzidine (DAB) substrate kit (Solarbio). Slices were then stained with hematoxylin and examined using an Olympus IX73 instrument (Olympus). The immunostaining intensity was quantified using the Image-Pro Plus (ver. 6.0)

RNA Sequencing Assay and Functional Classification

The mRNA-seq assay was conducted by Novogene with three biological replicates. A differentially expressed gene (DEG) library was constructed for sequencing according to Illumina protocols. Briefly, total RNAs were extracted by TRIzol reagent and then purified using poly-T oligo-attached magnetic beads according to the standard protocol. Double-stranded complementary DNAs were synthesized by Superscript II reverse transcriptase. The cDNA fragments of preferentially 150–200 bp were selected by the AMPure XP system (Beckman). Clustering and sequencing were performed on a cBot Cluster Generaton System and Hiseq 2000 platform, respectively. A differential expression analysis was performed using the DESqe R package (1.18.0). Genes with the P value less than 0.05 and |log2foldchange| > 1 were assigned as differentially expressed. A gene ontology enrichment of DEGs was performed by Database for Annotation, Visualization, and Integrated Discovery (DAVID), including cellular component, molecular function, and biological process. A signaling pathway enrichment analysis was performed using KEGG from the CluGO program, a plug-in Cytoscape software (v.3.4.0).

Statistical Analysis

All experiments were performed at least three times. Statistical data were expressed as means ± standard deviation (SD). Comparisons between different groups were performed with a Student’s t-test and analysis of variance (ANOVA) as appropriate using GraphPad Prism (ver. 8.0). Statistical comparison among groups was determined using a Kruskal–Wallis test. Values of P < 0.05 were considered statistically significant (*P < 0.05; **P < 0.01; ***P < 0.001).
  39 in total

1.  PD-L1 is commonly expressed and transcriptionally regulated by STAT3 and MYC in ALK-negative anaplastic large-cell lymphoma.

Authors:  V Atsaves; N Tsesmetzis; D Chioureas; L Kis; V Leventaki; E Drakos; T Panaretakis; D Grander; L J Medeiros; K H Young; G Z Rassidakis
Journal:  Leukemia       Date:  2017-03-27       Impact factor: 11.528

2.  Subcellular localization and RNP formation of IGF2BPs (IGF2 mRNA-binding proteins) is modulated by distinct RNA-binding domains.

Authors:  Kristin Wächter; Marcel Köhn; Nadine Stöhr; Stefan Hüttelmaier
Journal:  Biol Chem       Date:  2013-08       Impact factor: 3.915

3.  Comprehensive analysis of mRNA methylation reveals enrichment in 3' UTRs and near stop codons.

Authors:  Kate D Meyer; Yogesh Saletore; Paul Zumbo; Olivier Elemento; Christopher E Mason; Samie R Jaffrey
Journal:  Cell       Date:  2012-05-17       Impact factor: 41.582

4.  MYC regulates the antitumor immune response through CD47 and PD-L1.

Authors:  Stephanie C Casey; Ling Tong; Yulin Li; Rachel Do; Susanne Walz; Kelly N Fitzgerald; Arvin M Gouw; Virginie Baylot; Ines Gütgemann; Martin Eilers; Dean W Felsher
Journal:  Science       Date:  2016-03-10       Impact factor: 47.728

5.  IMP-1 displays cross-talk with K-Ras and modulates colon cancer cell survival through the novel proapoptotic protein CYFIP2.

Authors:  Perry S Mongroo; Felicite K Noubissi; Miriam Cuatrecasas; Jiri Kalabis; Catrina E King; Cameron N Johnstone; Mark J Bowser; Antoni Castells; Vladimir S Spiegelman; Anil K Rustgi
Journal:  Cancer Res       Date:  2011-01-20       Impact factor: 12.701

6.  The adaptive immune system is a major driver of selection for tumor suppressor gene inactivation.

Authors:  Timothy D Martin; Rupesh S Patel; Danielle R Cook; Mei Yuk Choi; Ajinkya Patil; Anthony C Liang; Mamie Z Li; Kevin M Haigis; Stephen J Elledge
Journal:  Science       Date:  2021-09-16       Impact factor: 47.728

Review 7.  Hematologic complications of immune checkpoint inhibitors.

Authors:  Michael H Kroll; Cristhiam Rojas-Hernandez; Cassian Yee
Journal:  Blood       Date:  2022-06-23       Impact factor: 25.476

Review 8.  Insulin-like growth factor 2 mRNA-binding protein 1 (IGF2BP1) in cancer.

Authors:  Xinwei Huang; Hong Zhang; Xiaoran Guo; Zongxin Zhu; Haibo Cai; Xiangyang Kong
Journal:  J Hematol Oncol       Date:  2018-06-28       Impact factor: 17.388

9.  Imp/IGF2BP levels modulate individual neural stem cell growth and division through myc mRNA stability.

Authors:  Tamsin J Samuels; Aino I Järvelin; David Ish-Horowicz; Ilan Davis
Journal:  Elife       Date:  2020-01-14       Impact factor: 8.140

10.  IGF2BP1 promotes SRF-dependent transcription in cancer in a m6A- and miRNA-dependent manner.

Authors:  Simon Müller; Markus Glaß; Anurag K Singh; Jacob Haase; Nadine Bley; Tommy Fuchs; Marcell Lederer; Andreas Dahl; Huilin Huang; Jianjun Chen; Guido Posern; Stefan Hüttelmaier
Journal:  Nucleic Acids Res       Date:  2019-01-10       Impact factor: 16.971

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