Abstract
RNA-binding protein Musashi 2 (MSI2) is elevated in several cancers and is linked to poor prognosis. Here, we tested if MSI2 promotes MYC and viral mRNA translation to induce self-renewal via an internal ribosome entry sequence (IRES). We performed RIP-seq using anti-MSI2 antibody in tumor-initiating stem-like cells (TICs). MSI2 binds the internal ribosome entry site (IRES)-containing oncogene mRNAs including MYC, JUN and VEGFA as well as HCV IRES to increase their synthesis and promote self-renewal and tumor-initiation at the post-transcriptional level. MSI2 binds a lncRNA to interfere with processing of a miRNA that reduced MYC translation in basal conditions. Deregulation of this integrated MSI2-lncRNA-MYC regulatory loop drives self-renewal and tumorigenesis through increased IRES-dependent translation of MYC mRNA. Overexpression of MSI2 in TICs promoted their self-renewal and tumor-initiation properties. Inhibition of MSI2-RNA binding reduced HCV IRES activity, viral replication and liver hyperplasia in humanized mice predisposed by virus infection and alcohol high-cholesterol high-fat diet. Together MSI2, integrating the MYC oncogenic pathway, can be employed as a therapeutic target in the treatment of HCC patients.
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Introduction
MSI2 belongs to the Musashi family of RNA binding proteins [1]. These Musashi members participate in post-transcriptional regulation of proliferation and differentiation in progenitor and stem cells via binding to specific mRNAs [2]. Like MSI1, MSI2 binds via tandem ribonucleoprotein-type RNA recognition motifs near its N-terminus to consensus ligand motifs of target mRNAs. The MSI2 expression is associated with aggressive phenotypes in a range of solid tumors, including gliomas, breast, colorectal, lung, and pancreatic cancer and hematologic malignancies as well [2].
Primary liver cancers include cholangiocarcinomas, hepatoblastomas, and hepatocellular carcinomas (HCC), of which the latter accounts for > 90% of primary liver cancers. The estimated incidence of new cases worldwide is about 500,000-1,000,000 each year, causing 600,000 deaths globally [3]. HCC is the fifth most common cancer and the second leading cause of cancer-related mortality. Hepatitis B virus (HBV), Hepatitis C virus (HCV) infection, chronic alcoholic consumption, high fat diet, dietary aflatoxin and tobacco are the major predisposing, and causal factors of HCC [4]. Tumor-initiating stem-like cells (TICs) promote the progression of HCC and chemoresistance. In fact, TICs represent an important component of therapy resistance in the treatment of HCC [5, 6].
Endogenous MYC levels are negatively regulated through turnover of MYC mRNA in non-transformed cells [7, 8]. This negative feedback regulation is frequently disrupted during oncogenic transformation, enabling transformed cells to express elevated MYC leading to proliferation [7, 9]. The underlying molecular mechanism(s) in control of MYC expression and its disruption during transformation are poorly understood. Using RIP-seq analysis, MIR22HG was identified as an RNA binding target for MSI2. We hypothesized that MSI2 promotes MYC expression by blocking MIR22HG processing to mature miR-22. Our present data showed that miR-22 directly suppressed MYC expression and the repression of miR-22 maturation by MSI2 led to increased MYC expression and contributed to overall tumorigenesis. Concomitantly, MSI2 upregulation also promoted the translation of MYC mRNA through an IRES-dependent mechanism. Overall, our study uncovered roles for MSI2 and miR-22 in both positive and negative feedback loops that controlled MYC expression. Deregulation of this tightly integrated MSI2-MIR22HG-miR-22-MYC regulatory schema during hepatocellular carcinogenesis involved repressing miR-22 maturation with increased IRES-dependent translation of MYC mRNA and oncogenesis. Together, these events affect the self-renewal and the tumorigenic properties of TICs. We fully expect this study will facilitate the future development of new treatment strategies targeted towards MYC+ TICs that arise in chemoresistant liver cancer patients.
Results
RIP-seq analysis identifies MSI2 target RNAs, MYC and MIR22HG
TCGA datasets analysis display a higher level of MSI2 expression in HCC tumors (Fig. 1A). The higher expression of MSI2 in HCCs is associated with decreased survival of almost two years (Fig. 1B). To better understand novel interacting partners of MSI2, tumor initiating stem-like cells (TICs) were sorted from mouse CD133+ HCC tumor cells for enrichment of MSI2 levels. Accordingly, cell lysates were pre-cleared of ribosomes then subjected to RNA immunoprecipitation (RIP) with antibodies specific to MSI2 followed by deep sequencing of isolated RNA (RIP-seq) (Fig. 1C). After appropriate normalization, as detailed in Materials and Methods, the distribution of genome-wide enrichment of sequencing tags identified by RIP-seq indicated that MSI2 binding was predominantly observed within UTR regions as well as in annotated promoters and regions of both coding and noncoding genes (Fig. 1D).
A pathway analysis of the 177 most highly enriched targets identified by RIP-seq (FDR p < 0.05, log2 enrichment ratio ≥ log21) indicated that in addition to general liver cancer metastatic pathways, the MYC pathway was significantly represented and presumably regulated by the identified MSI2 binding partners (Fig. 1E). We concluded that RNA binding activity of MSI2 is vital in cell culture. As such, MYC-related, well-known partner molecules associated with various cancers were also identified by this analysis (Fig. 1F, inset). From a search of the compendium of RNA-binding proteins in vertebrates two motifs MOD (RNCMPT00140) and SNRNP70K (RNCMPT00143) [10] showed a significant enrichment (E < 0.0001) in anti-MSI2, RIP-sequenced regions. From a genome-wide perspective, a significant subset of reference genes and non-coding targets with increased enrichment by RIP-seq analysis (FDR p < 0.05) were identified, over and above the input control, as well as a significant upregulation of their transcripts (Fig. 1F). Significantly, MYC mRNA was identified as one of the cellular mRNA targets of MSI2 (Fig. 1G) among others (GRP137b and RSPH3a/b) (Supplementary Fig. 1A). Interestingly, miR22hg was the most enriched binding partner among the various non-coding RNAs (Fig. 1G). Furthermore, in order to identify the binding motif of MSI2, we extended the peak of sequence hits ± 25 nts to obtain a consensus motif. These sequences are present in all vertebrates as well as in a database of consensus sequences for RNA-binding proteins (Supplementary Table 2, S5). Therefore, our study focused on discerning the regulatory mechanism of miR22hg and MYC in HCC development by using a liver cancer model.
We carefully examined the MSI2 HITS-CLIP [11] dataset to strengthen the mechanistic insight of our results (Fig. 1H, I). A Venn diagram shows the number of MSI2-interacting genes shared among this study and previously published MSI2 RIP-seq results (Fig. 1H). Gene set enrichment analysis (GSEA) showed a correlation with HCC oncogenesis, self-renewal, stemness as well as RNA metabolism pathways by MSI2 RIP-seq analysis (Fig. 1I). Data from other studies that correlate with the results in this paper were reanalyzed to generalize our RIP-seq data. Supplementary tables include a list of genes that are commonly enriched in analyses of current and previous studies (Supplementary Tables 1, 2, 3). These results indicated that MSI2 binds not only a common RNA sequence motif, but also binds various RNA species differentially, indicating that MSI2 function is affected by cellular context-dependent binding.
MSI2 binds MYC mRNA and MIR22HG
To validate the RIP-Seq data, we performed RT-qPCR of RNA extracts enriched by anti-MSI2 RIP for analysis of MSI2-associated RNAs obtained from MSI2-overexpressing and MSI2-silenced cell lysates (Fig. 2A). The RIP RT-qPCR analysis confirmed the enrichment of MSI2 binding to MYC mRNA (Fig. 2A, Left panel) as well as MIR22HG (Fig. 2A, Right panel) and was directly proportional to MSI2 expression levels. Thus, these data indicated that both MYC mRNA and MIR22HG are MSI2-bound RNA targets.
MSI2 regulates MYC at the post-transcriptional level
Transcription initiation of MYC occurs from multiple promoters—P0, P1, P2, and P3. Translation initiation of P1 and P2 (P1 UTR = 1205 nt, P2 UTR = 525 nt) transcripts begins at CTG and ATG. The P3 transcript (UTR = 555 nt) initiates translation from ATG; however, this is a minor transcript as the majority of mRNAs initiate from promoter P2 in both normal and transformed cells (Fig. 2B) [12]. The MYC IRES is 341 or 353 nucleotides long (exon 1) and is located downstream of promoter P1 such that the IRES is present in P0, P1 and P2 transcripts [13]. Two major MYC proteins MYC1 (67 kDa) and MYC2 (64 kDa) are translated from alternative start codons in the promoter P2 transcript. MYC-S (43 kDa) is expressed from the promoter P3 transcript. Thus, MYC-S (43 kDa) is the shortest MYC isoform translated from mRNA initiated from P3 which does not contain an IRES.
We first analyzed normal hepatocytes, HCC cells and TICs for the expression of different MYC variants. We observed that MYC-S (43 kDa) was highly expressed in primary hepatocytes but present at very low levels in HCC and TICs. By contrast, the longer form of MYC (MYC1) was higher in transformed cells (HCC and TICs) and lower in primary hepatocytes (Fig. 2B, inset). We further demonstrated the relationship between MYC and MSI2 by MSI2 knockdown Huh7 cells. This was done by retroviral delivery of two different MSI2-targeting shRNAs and resulted in decreased protein levels of both MSI2 and MYC (Fig. 2C). Next, we examined if MSI2 regulated MYC expression at the post-transcriptional level. Immunoblot analysis indicated MYC protein expression was increased in MSI2 overexpressing Huh7 cells but was reduced in MSI2 silenced cells (Fig. 2D). However, RT-qPCR analysis showed that either depletion of MSI2 or ectopic MSI2 expression had little effect on MYC mRNA level (Fig. 2E). This result was consistent with our model of a regulatory relationship between MSI2 and MYC indicating that MSI2 altered MYC translation but did not affect its transcription.
To elucidate the post-transcriptional effect of MSI2 on MYC protein turnover, we added cycloheximide to block protein synthesis in Huh7 cells stably transduced with either scrambled shRNA or specific shRNA to silence MSI2. Cell lysates were obtained at different time points and probed with anti-MYC antibody (Fig. 2F). While overexpression of MSI2 increased the level of MYC (Fig. 2D), there was no difference in rate of MYC turnover between control and MSI2-silenced cells (Fig. 2F, Left. vs. Right panel). Although overall MYC synthesis was reduced by knockdown of MSI2, MSI2 silencing had no effect on overall MYC stability (Fig. 2F, right panel). These results indicated that MSI2 functioned through translational regulation of MYC synthesis.
To determine how the translational activity of MYC mRNA was modulated by MSI2, we generated MYC cDNA constructs that had only the MYC mRNA coding sequence (CDS) and CDS variants that included CDS with only the 3′UTR, CDS with only the5′UTR or CDS with both the 5′ and 3′UTRs (as shown in Fig. 2G, left panel). MSI2 expression enhanced the protein level of MYC (Fig. 2G, center panel). Ectopic expression of MYC constructs that included either the coding sequence with 5′UTR or the coding sequence with 5′UTR and 3′UTR led to robustly elevated levels of MYC. Synthesis of both the second-longest-form of MYC2 (p64) and MYC-S (p42) was stimulated by the 5′UTR although there was no evidence showing the longest-form of MYC (p67) was stimulated by the 5′UTR (Fig. 2G, center and right panels).
This experiment was repeated in HepG2 and Hep3B cells to establish whether this was a more general property of MSI2. Accordingly, translational activity of endogenous MYC in HepG2 and Hep3B cells was examined by immunoblotting. (Supplementary Fig. 2I, Left panel). Similar to Huh7 cells, the immunoblot showed the MSI2 effect on MYC protein synthesis was dependent on the presence of the 5′UTR and 3′UTR of MYC mRNA. MSI2 promoted translation of the longer isoform of MYC in HepG2, while MSI2 silencing in Hep3B reduced levels of the longer isoform of MYC. (Supplementary Fig. 2I, Middle and Right panels). Many cellular IRES-containing genes were identified and enriched by the currently reported MSI2 RIP-seq analyses. JUN and VEGFA are important onco-drivers identified by our MSI2 ChIP-seq results. The immunoblots and RT-qPCR results showed that MSI2 post-transcriptionally increased JUN and VEGFA expression (Supplementary Fig. 2J, K). Therefore, the impact of MSI2 on IRES region of JUN and VEGFA mRNA and their translational activities were further examined in dual luciferase assays.
MSI2 expression stimulates the MYC IRES in vitro
The ratio of IRES-containing genes detected per 21,000 genes was increased after anti-MSI2 RIP-seq enrichment (Fig. 3A). As described above, the expression of the second longest isoform of MYC (64-kDa-MYC: MYC2) in Huh7 cells was positively regulated by MSI2. Accordingly, we observed higher expression of the longest isoform of MYC (67-kDa-MYC: MYC1) in TICs (Fig. 2B). An examination of the consensus MSI2 binding motif showed that it overlapped with the 5′-end of the MYC IRES region (Fig. 3B; Supplementary Fig. 2). The secondary structures of the MYC-IRES and the MSI2 RNA binding site adjacent to the IRES were examined to identify possible structural motifs important for function. The MSI2-binding motif forms a stem loop structure sequestering the noncanonical CUG (non-AUG) initiation site (Fig. 3B). The 40S ribosome recruits the MYC IRES region during initiation leading to the 40S preinitiation complex and subsequent 60S ribosome binding to assemble the 80S initiation complex for mRNA translation (Fig. 3B). The proposed secondary structure suggests a plausible mechanism for the activation of MYC mRNA translation. Namely, MSI2 binding to the single-strand motif could activate IRES-dependent translation of MYC by uncovering the CUG initiation site. To generalize MSI2-mediated cellular IRES activation, 14 different cellular IRES sequences were bioinformatically aligned with the MSI2-binding consensus sequences. Representative MSI2 binding motif are shown in secondary structures of the MYC, JUN mRNAs and HCV IRES RNA by molecular modeling (Fig. 3C).
We examined if MSI2 regulated MYC expression by binding to the MYC mRNA 5′ UTR sequence of the P2 transcript, especially to the predicted site within the IRES element. Various luciferase reporter plasmids were employed expressing luciferase behind the MYC (pRMF) IRES for comparison to the cap-dependent translation of MYC (without MYC IRES) (pRF). The reporter constructs containing IRES elements from APAF-1 (pRAF), or BAG-1 (pRBF) mRNAs (examples of cellular IRESs) and HCV (+)-strand RNA (pRHCV) were used as specificity controls as described earlier [13, 14] (Fig. 3D). MSI2-overexpressing or sh-MSI2 stably transduced Huh7 cells were then transfected with IRES-containing reporter plasmids. In cells with MSI2 overexpression, we observed a 110% increase in MYC and 60% change in HCV, IRES-mediated translation activity in the pRMF- and pRHCV-transfected cells, respectively. In the presence of sh-MSI2 the luciferase activity was reduced to the basal level for both MYC and HCV reporters. The responsiveness of the HCV IRES to MSI2 level may suggest an alternative mechanism for translational initiation (not the same as for MYC) [15]. APAF-1 and BAG-1 IRES elements did not show significant changes in luciferase activity, suggesting that MSI2 was specific for MYC IRES but not for other cellular IRES elements. However, addition of the MSI2 binding motif to APAF-1 and BAG-1 IRES reporters made them responsive to MSI2 expression (Fig. 3E). CD133(+) TICs have an elevated level of MYC IRES activity, indicating that MSI2High cells supported increased levels of MYC protein synthesis through IRES-initiated, cap-independent translation to meet an adverse tumor microenvironment (Fig. 3F).
Next, we deleted the putative MSI2 binding region within the MYC IRES by site-directed mutagenesis. The importance of the MSI2 interaction motifs within the IRES was underscored as mutation of this region resulted in sharply attenuated reporter activity in Huh7 cells (Fig. 3G). MSI2 stimulated IRES-dependent translation while MSI2 was not stimulatory for cap-dependent translation in reporter constructs (Supplementary Fig. S2F).
To examine if a bona fide interaction exists between MSI2 protein and MYC mRNA, UV cross-linking and electrophoretic mobility shift assay (EMSA) with purified MSI2-His6 was performed with both 32P-labeled MYC IRES or just the MSI2 binding motif in the presence or absence of cold probes, as previously described [16]. The 32P-labeled RNA transcripts generated from pSK-ML (MYC IRES expression construct) or pSK-GAP-L (GAPDH vector for specificity control) were incubated with purified recombinant MSI2 as indicated, then subjected to EMSA. The EMSA results demonstrated that MSI2-bound RNA probe complexes increased in a MSI2 dose-dependent manner (Fig. 3G, Top panel), but no MSI2-MYC IRES RNA binding was observed with MYC IRES mutant probe (Fig. 3G, Middle panel) nor with mutant MSI2 RNA-binding protein and wildtype IRES probe (Fig. 3G, Bottom panel), even with increasing amounts of binding protein. For comparison with other RNA binding proteins, hnRNPK and YB1 were also tested for binding activity towards the MYC IRES [17] by EMSA but showed no such activity (Supplementary Fig. 3H, I). Other control proteins (i.e., MSI1 and PTB) were tested for IRES binding activity but also showed no such binding activity (Supplementary Fig. 3A-S3G). Several truncated mutant probes were used for EMSA made from different restriction digested DNA templates to further confirm that MSI2 binding motif was located near the 5′-end of the IRES element (Supplementary Fig. 3H). MSI2 recombinant protein bound to MYC IRES in a MYC IRES sequence dependent manner (Supplementary Fig. 3I). These results were consistent with our model that MSI2 binds the MYC IRES to augment MYC translation from the P2 MYC mRNA variant. This further supported the specificity of our model for MSI2 binding to the MYC IRES. (Fig. 3G, Middle panel).
We further examined whether MSI2 increases translational efficiency of MYC mRNA by polysome fractionation analysis. Polysome profiling assays were performed to see if MSI2 specifically augmented MYC mRNA translation rather than act as a global activator of mRNA translation. Sucrose density gradient ultracentrifugation was employed, followed by RNA isolation and RT-qPCR analysis of polysome fractions from different sucrose gradients (Supplementary Fig. 3J–L). Polysome profiling showed knockdown of MSI2 decreased but overexpression of MSI2 increased translational activity of MYC mRNA. This was evident from MSI2 dependent increase of MYC mRNA in the polysomal regions of the sucrose gradients. The experiments indicated MSI2 positively regulates MYC expression at this post-transcriptional level (Supplementary Fig. 3J-S3L).
We observed protein expression but not mRNA levels of JUN and VEGFA that have MSI2-consensus-binding sites (Supplementary Fig. 2K) changed proportionally with ectopic expression or knockdown of MSI2 (Supplementary Fig. 2H–J). We further examined their IRES activities by luciferase reporter assay with or without ectopic MSI2 expression in HepG2 cells. These results displayed that ectopic MSI2 stimulated JUN or VEGFA IRES reporter activities (Fig. 3I, J). Several cellular mRNAs or viral RNA containing IRES elements, e.g., MYC, JUN, VEGFA and HCV IRES were shown to respond positively to MSI2 overexpression (Fig. 3H–J).
To further investigate if MSI2 promotes HCV RNA replication via the HCV IRES, HCV IRES reporter assays were performed in the presence or absence of mutations within the presumptive MSI2-binding sites of the HCV IRES. HCV IRES reporter activity was increased by ectopic MSI2 expression, but was compromised by mutations in the MSI2-binding sites (Fig. 3K, L). Antisense MSI2-binding site oligonucleotides (complementary to the MSI2 RNA motif) were synthesized and introduced into HCV infected or sub-genomic replicon transduced Huh7 cells. The antisense oligonucleotide treatments reduced HCV replication and subgenomic replicon levels (Fig. 3M), indicating that MSI2-HCV IRES interaction may enhance HCV replication, but this observation requires further validation. Nonetheless our results support the positive regulation of cellular IRES-containing proto-oncogenes by MSI2 (i.e. MYC, JUN and VEGFA mRNAs and viral (HCV) RNA).
MSI2 suppresses the level of mature miR-22 and enhances the activity of MYC
MIR22HG RNA was identified from our RIP-Seq analysis as a critical binding partner of MSI2 (Fig. 1F; Fig. 2A, Right panel). This noncoding, MIR22HG RNA is the host gene for pri-miR-22 and mature miR-22. Previously, it was shown that the RNA binding protein HuR recruits let-7 to repress MYC expression [18]. Furthermore, it was shown that MSI2 and HuR inhibit the processing of pre-miR-7 [19]. For these reasons, we next examined whether the physical interaction between MSI2 and MIR22HG influenced the level of mature miR-22.
The 3′UTR of MYC has a binding site for miR-22. Given that MIR22HG was immunoprecipitated with anti-MSI2, we reasoned that MSI2 might regulate MYC expression via miR-22. As noted earlier, mature miRNA is processed from non-coding MIR22HG RNA. Transient expression of miR-22 mimetic oligonucleotides lowered expression of endogenous MYC (Fig. 4B). Conversely, transient expression of anti-miR-22 enhanced expression of endogenous MYC, confirming that endogenous miR-22 reduced the level of MYC (Fig. 4C). Finally, expression of miR-22 not only lowered the expression of endogenous MYC but also negated the effect of endogenous MSI2 on MYC expression (Fig. 4B). From these results MSI2 was permissive for MYC expression by positively regulating its translation through the MYC IRES while concomitantly suppressing the amount of mature miR-22.
Northern blotting analysis in HCC cells showed that overexpression of MSI2 significantly reduced the level of mature miR-22 in both PH5CH cells (Fig. 4D) and mouse TICs (Fig. 4E). Reduction of miR-22 correlated with increased level of MIR22HG RNA as would be expected for inhibition of precursor-processing. A similar reduction of miR-22 was observed by RT-qPCR detection (Supplementary Fig. 4A, B). We next tested if MSI2 modulated the luciferase activity of the mouse Myc-3′UTR reporter. We compared the wildtype Myc 3′UTR with two constructs mutated within each of the two miR-22 target sites (the mouse Target-2 miR-22-binding site is conserved in the human 3′ UTR) (Fig. S4C, D). Accordingly, mutation of the Target-2 site resulted in mitigation of miR-22 activity (Fig. 4F). By contrast, single mutation of the Target-1 site had no effect on luciferase activity and was the same as observed for the wt MYC 3′UTR construct. As indicated above, the human MYC mRNA has a single miR-22 target site (homologous to the mouse Myc mRNA Target 2 site by relative position). Thus, these data indicated that MSI2 is capable of indirectly augmenting translation of mouse MYC by antagonizing MIR22HG processing resulting in decreased level of miR-22. Although human MYC 3′UTR has only a single miR-22 site, we strongly believe that it is functional based on the sum of experimental results we have presented thus far. This model is summarized in Fig. 4G.
In addition, our MSI2 RIP-Seq analysis identified miR-7014-3P among the MSI2-bound miRs may potentially regulate VEGFA expression. An online database (miRDB.org) predicted putative miR-7014-3P binding sites located in the 3′UTR of VEGFA mRNA (Supplementary Fig. 4E). We first examined the mature miR-7014-3P level in Hepa1-6 murine HCC cells stably transduced with sh-Msi2 by RT-qPCR. The level of mature miR-7014-3P increased while Msi2 was knocked down in Hepa1-16 cells (Fig. 4H, left panel). Protein levels analyzed by immunoblotting showed ectopic expression of MSI2 increased protein levels for VEGFA, and MYC while MSI2 silencing reduced those for VEGFA, MYC, JUN in Hepa1-6 (Fig. 4H, center and right panels). We further tested the impact of miR-7014-3P on protein expression of VEGFA by treatment of Hepa1-6 with either miR-7014-3P sponge or miR-7014-3P mimic. Overexpression of miR-7014-3P-sponge in Hepa1-6 increased protein level for VEGFA, and co-expression of MSI2 and miR-7014-3P-sponge further enhanced VEGFA expression (Fig. 4I, left panel). In contrast, miR-7014-3P mimetic RNA reduced VEGFA while ectopic MSI2 expression restored VEGFA protein levels downregulated by miR-7014-3P mimetic (Fig. 4I, right panel). To investigate if VEGFA expression was subjected to miR-7014-3P binding to its 3′UTR, we further generated VEGFA 3′UTR luciferase reporter plasmids (Fig. 4J, left panel) and performed VEGFA 3′UTR reporter assay in Hepa1-6. The experiment revealed that miR-7014-3P sponge stabilized reporter expression while shRNA against MSI2 decreased the luciferase activity regulated by VEGFA 3′UTR-WT. MSI2 knockdown antagonized this effect of miR-7014-3P sponge. In contrast, either miR-7014-3P sponge or MSI2 knockdown failed to exert any effect on luciferase activity regulated by VEGFA 3′-UTR mutant containing the mutant miR-7014-3P binding site (Fig. 4J, right panel). These results revealed that MSI2 through binding to two different RNA targets, affected miR maturation and subsequent translation efficiency and mRNA stability of MYC and other potential targets including VEGFA.
MSI2 expression increases colony formation and self-renewal of cells
We further examined the in vitro tumorigenic activity of MSI2 in TICs in vitro. Colony growth in soft agar is indicative of the tumorigenic potential of many cell types. We observed that MSI2 overexpressing cells showed increased colony numbers from TICs, whereas MSI2 silenced cells showed a reduction in colony formation. Furthermore, to assess if MSI2 overexpression influenced colony formation through MYC, we silenced MYC in MSI2 overexpressed cells. We observed a significant decrease in colony formation when MYC expression was abrogated (Fig. 5A). These quantitative results are summarized in the histogram (Fig. 5A, Right panel). We extended this result to examine if the in vitro self-renewal capacity of Huh7 cells was altered by MSI2 overexpression in the spheroid formation assay. As shown in Fig. 5B, Left panel), MSI2 overexpression quantitatively increased spheroid formation compared to MSI2 knockdown alone or in the presence of MYC knockdown. Spheroid formation in ultra-low adhesion plates was monitored over 15 days. After serial passages, we observed a similar trend as observed with colony formation, i.e., increased sphere formation as a function of passage and time in culture. Extended culturing led to increased spheroid formation. This time-dependent increase also mimics the in vivo behavior of recurrent HCC (Fig. 5B, Right panel). Thus, these data indicated MSI2 increased the tumor forming capacity of TICs in vitro by increasing overall MYC expression.
To better understand the MSI2 regulation of MYC in TICs vs. HCC, we further examined the expression levels for MSI2, MYC and stemness marker NANOG in HepG2 subjected to spheroid culture vs. normal culture. By using flow cytometry analysis, we checked if expression of MSI2, MYC, and NANOG increased in stemness enriched spheroid cells and if elevated MSI2 positively correlated with MYC expression in HCC spheroid cells (Fig. 5C). In addition to elevated levels of all three markers observed in spheroid cells, FACS analysis indicated that MSI2 potentiates cap-independent MYC translation in spheroid cells, with higher frequency of MSI2+/MYC+ in the total MSI2+ population (39%; 1.85/(1.85 + 2.9)) than in normal cultured cells (15%; 0.29/(0.29 + 1.65)). Furthermore, the ratio of MSI2+/MYC+ in the total MYC+ population (68%; 1.85/(0.88 + 1.85)) was higher than that of MSI2+/NANOG+ in the total NANOG+ population (53%; 1.41/(1.22 + 1.41)) of spheroid cells, demonstrating that upregulated MYC compared to NANOG was more likely subjected to IRES/MSI2 regulation (NANOGhigh/MSI2high and NANOGhigh/MYChigh-quadrants (labeled as red quadrant populations of Fig. 5C).
MSI2 expression increases tumorigenesis in vivo
Based on the in vitro data, we next determined the influence of MSI2 on the expression of MYC proteins in xenograft tumor tissues. NSG mice were subcutaneously implanted with Huh7 cells that overexpressed MSI2, that were shRNA-silenced for MSI2, or treated with scrambled shRNA. Mice were monitored for tumor growth for 10 weeks whereupon we observed that tumor volumes were significantly larger in MSI2 overexpressing, Huh7 cell-derived tumors compared to the MSI2-silenced Huh7 mice recipients (Fig. 5D–F). This showed that MSI2 promoted the tumorigenicity of Huh7 cells. Post-mortem examination of tumors by H&E staining showed that tumors were of hepatocyte origin. The histology of MSI2 knockdown tumors displayed more epithelial type cells while histology of MSI2 overexpression tumors displayed an increased nuclear/cytoplasm ratio, which was indicative of malignant tumor types (Fig. 5G). In addition, the expression of MSI2 had a significant negative effect on survival when compared across the three tumor groups (p < 0.05). Pairwise comparisons showed that mice in the MSI2 knockdown group lived significantly longer than the control (scramble) group or the MSI2 overexpressing group. However, there was no significant difference in survival between the scrambled group and the MSI2 overexpressing group (p = 0.22) (Fig. 5H). Immunohistochemical analysis of tumor tissues showed that modulation of MSI2 in tumor cells had a direct relationship to MYC expression level (Fig. 5I). MSI2 overexpression was observed to significantly increase the level of MYC in tumors whereas MYC expression was reduced when MSI2 expression decreased (Fig. 5I). These data showed that increased MSI2, by modulating MYC expression, increased tumorigenicity in vivo. Furthermore, the observed co-expression of MSI2 and MYC in the same cells was consistent for this mode of tumorigenesis. (Fig. 5I).
MSI2 and MYC co-expression in xenograft tissue specimen and HCC specimens
Based on the mouse tumorigenesis studies we assessed the clinical relevance of our findings in human HCC clinical samples. These data are presented in Supplementary Table 4. Expression of MYC was significantly higher in tumor tissues than in non-tumor tissues (p < 0.001) (Fig. 5J and Supplementary Fig. 5A, B). Additionally, there was a significant difference in immunoreactivity scores (IRS) between tumor tissues vs. non-tumor tissues, from patients with low staged disease (p < 0.001) and patients with high staged disease (p < 0.001) (Supplementary Fig. 5A, B). The magnitude of the differences in immunoreactivity (IRS) score between tumor vs. non-tumor tissues was largest for patients with the higher staged disease compared to patients with lower staged disease (p < 0.01). Nonetheless for all patients, the IRS scores were always higher in the tumor tissues than in the non-tumor tissues.
Immunofluorescent staining of human HCC showed increased expression of MSI2 and MYC with co-localization of both only in cancerous tissues. The non-cancerous tissues had minimal staining for MYC and little staining for MSI2 (Fig. 5K). The analysis of human tumor specimens for MSI2 correlated with MYC expression and MSI2 expression was elevated in late-stage HCC (stage III–IV) (Fig. 5L and Supplementary Fig. 5C). Immune reactivity scores (IRS) were obtained from fluorescently stained images. Quantitative analysis of MSI2 and MYC staining showed that tumor regions of human HCC tissue sections had significantly higher levels of MYC and MSI2 (Fig. 5K and Supplementary Fig. 5C), which was consistent with TCGA data regarding MYC and MSI2 mRNA levels (Fig. 1). The observed percentage of cells co-staining with both MYC and MSI2 was significantly higher than the expected percentage if the marker expression was mutually independent. This result indicated a significant correlation of expression and location of the two markers in tumors. This was true for both low staged tumors and the high staged tumors (see Fig. 5J, L and Supplementary Fig. 5C). HCC patient specimens were stained for MSI2, MYC and NANOG to test if MSI2-mediated MYC translation is TIC-specific or if non-TIC bulk cancers also show a similar tendency. Staining data showed that MSI2 was specific in HCC tissues and colocalized with MYC expression. Some of the MSI2-MYC double positive cells colocalized with NANOG (Fig. 5M, N), indicating that human TICs exhibited the MSI2-MYC axis. The cells of the non-TIC, bulk cancer regions were weakly positive for MSI2 and/or MYC. Therefore, the TIC tumor sections likely had preferential MSI2-dependent increase of MYC translation.
Postulated 3D structure models of MSI2-RNA interactions and inhibition by small molecule inhibitors
To simulate the docking site(s) between MSI2 and mRNA regions, local quality of binding was estimated (Fig. 6A). Human MSI2 structure was simulated by using the template of 2mssA and 2lyvA and compared against non-redundant sets of PDB structures. The simulated structure has three potential RNA binding sites (Fig. 6B). For RNA AUUGG, each MSI2 binding site was simulated 1500 times with redundant radius searching for lowest energy, the results were combined to return the lowest energy from these parameters (Fig. 6C). Cavity 2 which has the lowest energy for RNA binding was chosen (Fig. 6D). MYC IRES RNA binds the MSI2 RNA-binding domain, but also other MSI2 domains, indicating MYC IRES contacts MSI2 via several domains in addition to the RBD (Cavity 2) (Fig. 6E, top panel). The RNA interacting residues of MSI2 were found based on hydrophilic, hydrophobic and charge-π interactions within 4 Å of the RNA binding site (Fig. 6E, middle panel). RNA 5′AAUUCCAGCGAGAG3′ molecular structure was simulated by force field via Monte Carlo analysis for sampling the putative MSI2 conformation, from this the minimized lowest energy conformation was chosen (Fig. 6E, left panel). The RNA (shown in the cartoon model of blue and brown) is docked to the MSI2 protein (shown in green) via template-based modeling.
The potential interacting residues between MSI2 to RNA were selected based on polar, charge, hydrophobic or polar-hydrophobic interactions, within the range of 4 Å, these were (Fig. 6E, middle): Phe24, Asp55, Pro56, Arg62, Phe64, Lys94, Arg100, ALla101, Gln102, Pro103, Lys104, Val106, Thr107, Gln186, Val190, Met191, Phe192, Pro193. The best interacting residues were identified as: Pro103, Lys104, Lys111, Phe113, Met 140, Met 142, Phe153, Phe155, Lys184, Ala185, Gln186, Pro187, Lys188, Val190, Met191, Phe 192 and Pro193. Therefore, Cavity 2 was chosen as the docking site for the candidate compounds.
Binding of inhibitor compounds to MSI2 was modeled by docking to Cavity 2. First, each inhibitor compound was energy-minimized by force field and then was individually docked to Cavity 2 (Fig. 6E). The shared interacting residues of Cavity 2 (for all these compounds and RNA) were identified as: Pro103 Lys111 Phe113 Met 142, Phe153, Phe155, Lys184, Ala185, Gln186, Pro187, Lys188 and Met191 (Fig. 6E, middle). Gossypol binds to this site structurally by the help of the torsion of the middle C-C bond (Fig. 6F). For MP-Gr, the torsion comes from the methanimine linkage (Fig. 6G). The additional methoxyl oxygen helps the binding by forming another polar contact (Fig. 6G). The other compounds shown all take an assumed similar conformation to mimic the RNA which goes around this loop (Fig. 6G, H). The conformation where RNA surrounds the loop of MSI2 with the polar residues exposed yields the best docking result with the most stability (Fig. 6G). Other compounds were identified as novel MSI2 inhibitors based on modeling studies. Due to its small structure and relatively inflexible rings, Simvastatin resides completely within the RNA binding site. The polar interaction groups with MSI2 are shown in blue (Fig. 6I). The residues predicted to interact with Simvastatin from MSI2 were: Gln102, Pro103, Met105, Lys111, Phe113, Met142, Phe153, Phe155, Lys183, Lys184, Ala185, Gln186, Pro187, Lys188, Met191. For Idarubicin, its 3-ring structure occupies the RNA binding groove of MSI2 with the ether linkage of Idarubicin crossing over the loop from MSI2 (Fig. 6I). Polar groups that further improve binding stability are shown in blue (Fig. 6J). The residues predicted to interact with Idarubicin from MSI2 were: Gln102, Pro103, Lys104, Met105, Phe113, Phe153, Phe155, Lys183, Lys184, Ala185, Gln186, Met191 (Fig. 6J).
We identified GW7647 as a potential inhibitor of MSI2 (Fig. 6K, top panel) since it interacted with the loop from MSI2 that contains many lysines: Lys184, Ala185, Gln186, Pro187 and Lys188 (Fig. 6K, bottom panel).
Structurally, compounds with long alkyl chain acids (e.g., oleic acid) that can form this type of C-shape were generally predicted as potential inhibitors. Potentially if their carbon chain at the C curve could have negative charged/polar residues (such as those in Gossypol) that would structurally complement those polar residues of the MSI2 loop would be predicted to be better inhibitors. These residues could perhaps mimic the phosphates of an RNA ligand molecule and improve binding (Fig. 6K, bottom panel).
Small molecule inhibitor disruption of MSI2-RNA interaction to reduce MYC protein expression
The importance of MSI2 in HCC in our studies prompted the drug modeling studies as a search for possible inhibitors of its function. We initiated a limited inhibitor screening using FDA approved drugs and compounds. The putative MSI2 antagonists were validated to have activity in cells other assays by demonstrating selectivity towards TICs. Other groups have developed MSI1/MSI2 inhibitors such as Gossypol and MP-Gr [20], sodium oleate, eicosenoic acid and erucic acid [21]. We developed a small molecule inhibitor screen for MSI2 and further validated these drugs in other assays. We employed FITC-tagged MYC IRES-MSI2 ligand RNA (wild-type) or mutant IRES RNA as probes for fluorescence polarization binding assays with recombinant MSI2. Inhibition of binding activity was tested using the selected, small molecule library assayed in 384-well plates (Fig. 6L). The mutant IRES ligand served as a negative control since it could not interact with MSI2. The drug candidates from the latter screen were passed to two different screenings to further winnow these inhibitors: 1) Huh7 cell viability screening with primary hepatocytes as a control and 2) an EMSA-based ligand binding assay to select the top 10% candidates which inhibited solution binding of MYC IRES to MSI2. Viability screening showed that most of the candidate compounds showed toxicity towards Huh7 cells and primary hepatocytes (R2 = 0.82) except a subgroup of chemicals that stood out with selective toxicity toward Huh7 cells alone (Fig. 6L, M). The MYC protein levels were reduced in MSI2-inhibitor-treated Huh7 cells (Fig. 6N), indicating that pharmacological MSI2 inhibition resulted in reduced MYC protein levels.
Microscale thermophoresis (MST) assay with GW7647 was performed using full-length, wild type MSI2 and single substitution mutants of MSI2: K184A, P187A and K188A. The MSI2 K184A and K188A mutations partially abrogated inhibitor binding activity but to a much lesser degree than for the P187A mutant. Additional microscale thermophoresis (MST) assays were performed in the presence of pharmacological inhibitor GW7647 and full-length wild type MSI2 or substitution mutants; included in this analysis were other RNA-binding proteins and non-RNA-binding protein (GST) (Fig. 6O, P). EMSA incubations with MSI2 are shown for RNA binding in the presence of GW4746 (Fig. 6Q, left panel). Approximated Kd was determined from the concentration of half maximum binding (Fig. 6Q, right). Binding of full length, wild-type MSI2 to increasing concentrations of GW7647 is displayed as a ligand binding curve to estimate its Kd (Fig. 6Q, right panel). The results showed the Kd of GW7647 was 1.2 μM vs. 35 μM for Gossypol indicating that its tight ligand binding activity was consistent with its observed activity as an effective inhibitor of MSI2 RNA binding.
Disruption of MSI2-RNA interaction inhibited HCV replication and reduced liver hyperplasia and cancer development
We tested the therapeutic efficacy of the pharmacological inhibitor candidates in the PDX model of HCC. The NSGTM mice were transplanted with a small tissue piece (62.5 mm3) from a single patient HCC; this patient had prior etiology of alcoholism and/or HCV infection. These xenografts formed rapidly growing tumors after 16 to 35 days post-implantation and reached an average size of 2,000 mm3. Simvastatin treatment (administered i.p. 40 mg/kg, 5 days a week) almost completely suppressed further tumor growth, as compared to control vehicle treatment (Fig. 7A). Furthermore, an injection of GW7647 or Simvastatin reduced sizes of the HCC tissues implanted in NSG mice (PDX mouse model) (Fig. 7A).
We examined whether GW7647 or Simvastatin treatment reduced tumor growth via inhibition of MYC protein expression. Xenograft tumors were analyzed for MYC protein expression levels. Comparison of drug-treated tumors to vehicle-treated tumors indicated that GW7647 and Simvastatin indeed significantly reduced sizes of xenografted tumors (Fig. 7A) and reduced MYC protein levels (Fig. 7B), supporting the expectation that the therapeutic effects of Simvastatin and GW7647 were based on suppression of the MYC pathway mediated by inhibition of the MYC mRNA-MSI2 interaction.
We further examined if MSI2 inhibitor GW7647 suppresses HCV replication and HCV-associated liver hyperplasia. Humanized-liver FRG mice were infected with HCV and fed with alcohol western diet for six months. Approximately 60% of humanized FRG mice developed liver hyperplasia (not shown). GW7647 treatment reduced the HCV RNA levels (Fig. 7C, left and middle), but did not affect the humanization process in FRG mouse livers based on mitochondrial staining (Fig. 7C, right). In addition, GW7647 reduced the incidence and sizes of liver hyperplasia in FRG mice (Fig. 7D). These results indicated that disruption of MSI2-RNA interaction inhibited HCV replication and reduced liver hyperplasia and cancer development.
Discussion
The results from our studies demonstrated that MSI2 is one of the key trans-acting factors for IRES-mediated MYC expression. The importance of this study is the observation that MSI2 suppressed the level of mature miR-22 in HCC cells by interrupting its processing from pre-miR-22 and thus indirectly enhanced overall MYC expression (Fig. 7E). Prior work shows the small molecule inhibitor for MSI2 (Ro 08–2750) also targets MYC expression [22]. By overexpression and knockdown strategies in both mouse and human systems we showed that MSI2 promoted self-renewal and differentiation of TICs. Moreover, overexpression of MSI2 was associated with the aggressive proliferation of tumor xenografts. Additionally, several other factors that regulate TICs self-renewal, such as the transcription factors NANOG and MYC, as well as other microRNAs, have been implicated in oncogenesis [6, 23, 24]. It is possible that MSI2 may act in concert with these factors by regulating TIC self-renewal with the maintenance of an undifferentiated gene expression program in HCC, thus contributing to the poor clinical outcome of such cancers. Other ways to target MSI2 includes ASOs [25] or small molecule inhibitors for MSI2 as above, which were also shown to target MYC [22].
Increased expression of MSI2 is considered a prognostic indicator for poor clinical outcomes in different cancers including HCC [26]. MSI family proteins are well known for their function as a translation inhibitor, but they can also act as a translation activator [27]. MSI2 also maintains the self-renewal program in cancer by directly increasing the translation of MYC and other proteins, without significantly increasing their mRNA levels [11]. However, the mechanistic link between these proteins and MSI2 is largely unknown. Therefore, our findings are very important as we observed that MSI2 directly increased the translation of MYC in an IRES-dependent manner without changing its mRNA level in HCC. These findings will contribute towards better understanding the prognostic significance of MSI2 in HCC for efficient therapy.
The proposed MSI2 sites of JUN mRNA and HCV RNA are in loops which are single-stranded. We propose that MSI2 binding melts out the extended stems of JUN mRNA and HCV RNA, which would be mechanistically different from the MYC model. Figure 3B shows 18S rRNA interacting with the dsRNA region. We propose that the end of 18S interacts with the IRES element by base-pairing. To validate this speculative model, further investigation is warranted.
Conclusions
Taken together, MSI2 enhanced MYC expression by association with the IRES region and suppressed processing of pre-miR-22 to mature miR-22 which acted on the MYC 3′UTR to impede MYC expression. Targeting MSI2 expression or function may ultimately allow selective suppression of HCC stem cell populations and provide a new therapeutic strategy in the treatment of HCC.
Materials and methods
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KEY RESOURCES TABLE (Supplementary Table)
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EXPERIMENTAL MODEL AND SUBJECT DETAILS
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In vivo animal studies
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Human patients’ tissue samples
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Human patients’ tissue samples: The clinical and pathological characteristics of the patients are summarized in Supplementary Table 4. Thirty formalin-fixed, paraffin-embedded paired primary HCC tissues or non-tumor (adjacent liver) tissues were obtained. 30 patients were diagnosed as having HCC based on the clinicopathologic findings at the University of Southern California Norris Cancer Hospitals. At the time of surgical resection, the tumor area was dissected from the surrounding tissue. Part of the resected tissue was fixed in formalin and embedded in paraffin for histological diagnosis, another part of the resected material was snap frozen in liquid nitrogen for storage at –80 °C for molecular analysis. All tissues were collected with patient informed consent that was granted before surgery by a protocol approved by the Institutional Review Board. These tissues were de-identified prior to use in this study. For immunostaining and immunoblotting analysis of MYC and MSI2 in human HCC, autopsy or surgically excised HCC tissues from 30 patients with or without HCV infection, with or without a history of alcoholism, with or without Obesity/Diabetes/ BMI > 30 were obtained as cryo-preserved samples and paraffin embedded tissue sections according to the approved University Institutional Review Board (IRB) protocol. Many of the specimens were obtained from the Liver Tissue Cell Distribution System at University of Minnesota. Samples were obtained from both genders between the ages of 42–80. Histologically, they all had varying degrees of steatosis (microvesicular and macrovesicular) and inflammation in addition to different stages of HCC. Completely normal liver tissues from 2 patients with accidental death or stroke, but without an apparent liver pathology, were also obtained for immunostaining or immunoblotting. Metastatic Brain tissue was provided by Dr. Zin Htway at HCA Los Robles Hospital and Medical Center. Allotransplants from 15 cryopreserved different mouse metastatic HCC cell lines were also studied for drug susceptibility.
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Cells and cell lines.
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Plasmids, lentivirus and retrovirus vectors, and production of lentivirus & retroviruses
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Isolation of mouse TICs using MACS
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RNA-Immunoprecipitation (RIP): 2 × 107 TICs overexpressing Flag-MSI2 and stably transduced shRNA against MSI2 were subjected to RNA immunoprecipitation (RIP) using the MBL RIP kit (MBL International, MA). In brief, cells were washed with cold PBS and lysed with provided RIP lysis buffer. Anti-Flag M2 Ab (Sigma-Aldrich), anti-rabbit Ab, or anti-MSI2 Ab (EMD Millipore), pre-incubated with magnetic beads (5 μg), were used to immunoprecipitate Flag–MSI2–RNA complexes. Immunoprecipitated complexes were washed and treated with proteinase K. Finally, RNA was extracted with the reagents provided in the kit.
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Bioinformatics analysis of RNA sequencing
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Bioinformatics analysis of binding motif from MSI2 RIP-seq
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Reverse transcription and quantitative PCR (RT-qPCR)
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SDS-PAGE and immunoblot analysis
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Site-directed mutagenesis
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Luciferase reporter assays
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UV cross-linking and EMSA
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Sucrose density gradient centrifugation and RT-qPCR analysis
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MicroRNA isolation, cDNA synthesis, and RT-qPCR
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Northern blots for miR22hg
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Spheroid Formation
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Serial Spheroid Formation
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In silico 3D structure prediction
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Fluorescence Polarization assay
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Histology & Immunohistochemistry
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Immunofluorescence Staining
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Statistical Analysis
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QUANTIFICATION AND STATISTICAL ANALYSIS
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DATA AND CODE AVAILABILITY
References
Kudinov AE, Karanicolas J, Golemis EA, Boumber Y. Musashi RNA-binding proteins as cancer drivers and novel therapeutic targets. Clin Cancer Res. 2017;23:2143–53.
Byers RJ, Currie T, Tholouli E, Rodig SJ, Kutok JL. MSI2 protein expression predicts unfavorable outcome in acute myeloid leukemia. Blood. 2011;118:2857–67.
Berretta MDFR, Di Benedetto F, Tirelli U. New entities in the treatment of hepatocellular carcinoma: HIV-positive and elderly patients. World Cancer Res J. 2015;3:e558.
Gomaa AI, Waked I. Recent advances in multidisciplinary management of hepatocellular carcinoma. World J Hepatol. 2015;7:673–87.
Siddique HR, Saleem M. Role of BMI1, a stem cell factor, in cancer recurrence and chemoresistance: preclinical and clinical evidences. Stem Cells. 2012;30:372–8.
Siddique HR, Feldman DE, Chen CL, Punj V, Tokumitsu H, Machida K. NUMB phosphorylation destabilizes p53 and promotes self-renewal of tumor-initiating cells by a NANOG-dependent mechanism in liver cancer. Hepatology. 2015;62:1466–79.
Kress TR, Cannell IG, Brenkman AB, Samans B, Gaestel M, Roepman P, et al. The MK5/PRAK kinase and Myc form a negative feedback loop that is disrupted during colorectal tumorigenesis. Mol Cell. 2011;41:445–57.
Penn LJ, Brooks MW, Laufer EM, Land H. Negative autoregulation of c-myc transcription. EMBO J. 1990;9:1113–21.
Penn LJ, Brooks MW, Laufer EM, Littlewood TD, Morgenstern JP, Evan GI, et al. Domains of human c-myc protein required for autosuppression and cooperation with ras oncogenes are overlapping. Mol Cell Biol. 1990;10:4961–6.
Ray D, Kazan H, Cook KB, Weirauch MT, Najafabadi HS, Li X, et al. A compendium of RNA-binding motifs for decoding gene regulation. Nature. 2013;499:172–7.
Park SM, Gonen M, Vu L, Minuesa G, Tivnan P, Barlowe TS, et al. Musashi2 sustains the mixed-lineage leukemia-driven stem cell regulatory program. J Clin Invest. 2015;125:1286–98.
Zakaria MK, Khan I, Mani P, Chattopadhyay P, Sarkar DP, Sinha S. Combination of hepatocyte specific delivery and transformation dependent expression of shRNA inducing transcriptional gene silencing of c-Myc promoter in hepatocellular carcinoma cells. BMC Cancer. 2014;14:582.
Stoneley M, Paulin FE, Le Quesne JP, Chappell SA, Willis AE. C-Myc 5’ untranslated region contains an internal ribosome entry segment. Oncogene. 1998;16:423–8.
Stoneley M, Subkhankulova T, Le Quesne JP, Coldwell MJ, Jopling CL, Belsham GJ, et al. Analysis of the c-myc IRES; a potential role for cell-type specific trans-acting factors and the nuclear compartment. Nucleic Acids Res. 2000;28:687–94.
Ito T, Tahara SM, Lai MM. The 3’-untranslated region of hepatitis C virus RNA enhances translation from an internal ribosomal entry site. J Virol. 1998;72:8789–96.
Paulin FE, Chappell SA, Willis AE. A single nucleotide change in the c-myc internal ribosome entry segment leads to enhanced binding of a group of protein factors. Nucleic Acids Res. 1998;26:3097–103.
Evans JR, Mitchell SA, Spriggs KA, Ostrowski J, Bomsztyk K, Ostarek D, et al. Members of the poly (rC) binding protein family stimulate the activity of the c-myc internal ribosome entry segment in vitro and in vivo. Oncogene. 2003;22:8012–20.
Kim HH, Kuwano Y, Srikantan S, Lee EK, Martindale JL, Gorospe M. HuR recruits let-7/RISC to repress c-Myc expression. Genes Dev. 2009;23:1743–8.
Choudhury NR, de Lima Alves F, de Andres-Aguayo L, Graf T, Caceres JF, Rappsilber J, et al. Tissue-specific control of brain-enriched miR-7 biogenesis. Genes Dev. 2013;27:24–38.
Lan L, Appelman C, Smith AR, Yu J, Larsen S, Marquez RT, et al. Natural product (-)-gossypol inhibits colon cancer cell growth by targeting RNA-binding protein Musashi-1. Mol Oncol. 2015;9:1406–20.
Clingman CC, Deveau LM, Hay SA, Genga RM, Shandilya SM, Massi F, et al. Allosteric inhibition of a stem cell RNA-binding protein by an intermediary metabolite. Elife. 2014;3:e02848.
Minuesa G, Albanese SK, Xie W, Kazansky Y, Worroll D, Chow A, et al. Small-molecule targeting of MUSASHI RNA-binding activity in acute myeloid leukemia. Nat Commun. 2019;10:2691.
Kumar MS, Lu J, Mercer KL, Golub TR, Jacks T. Impaired microRNA processing enhances cellular transformation and tumorigenesis. Nat Genet. 2007;39:673–7.
Viswanathan SR, Powers JT, Einhorn W, Hoshida Y, Ng TL, Toffanin S, et al. Lin28 promotes transformation and is associated with advanced human malignancies. Nat Genet. 2009;41:843–8.
Fox RG, Lytle NK, Jaquish DV, Park FD, Ito T, Bajaj J, et al. Image-based detection and targeting of therapy resistance in pancreatic adenocarcinoma. Nature. 2016;534:407–11.
He L, Zhou X, Qu C, Hu L, Tang Y, Zhang Q, et al. Musashi2 predicts poor prognosis and invasion in hepatocellular carcinoma by driving epithelial-mesenchymal transition. J Cell Mol Med. 2014;18:49–58.
Imai T, Tokunaga A, Yoshida T, Hashimoto M, Mikoshiba K, Weinmaster G, et al. The neural RNA-binding protein Musashi1 translationally regulates mammalian numb gene expression by interacting with its mRNA. Mol Cell Biol. 2001;21:3888–3900.
Acknowledgements
Mr. Juan Carlos Hernandez (USC) for technical assistance, Dr. Susan Groshen, the Director of the USC/Norris Cancer Center Biostatistics Core, and her associate Ms. Lingyun Ji, a biostatistician, helped us to perform the statistical analysis and Prof. Lucio Comai (Department of Molecular Microbiology and Immunology at USC) and Prof. Sita Reddy (Department of Biochemistry & Molecular Medicine at USC) for polysome assays. Tissue slide preparation was performed by Ms. Moli Chen and Mr. Dennis Trana of Norris Comprehensive Cancer Center. Prof. Anne E Willis (University of Leicester, Leicester, UK) for generously providing the MYC IRES reporter plasmids. We also thank Prof. Martin Eilers (Institute of Molecular Biology and Tumor Research, Marburg, Germany), Prof. Lishan Su (University of North Carolina, USA) for humanized mice and Prof. Tyler Jacks (MIT Centre for Cancer Research, USA) for pRetrosuper-MYC-shRNA and pRL MYC 3′UTR plasmids, respectively. Confocal microscopy services were provided by the Cell and Tissue Imaging Core of the USC Research Center for Liver Diseases.
Funding
This project was supported by NIH grants R01AA025204-01A1, R21AA025470-01A1, 1R01AA018857, pilot project funding (5P30DK048522-13), P50AA011999 (Animal Core, Morphology Core, and Pilot Project Program) and R24AA012885 (Non-Parenchymal Liver Cell Core). This research is also supported by a Research Scholar Grant, RSG-12-177-01-MPC and pilot funding (IRG-58-007-48) from the American Cancer Society. Microscopy was performed by the Cell and Tissue Imaging Core of the USC Research Center for Liver Diseases (P30 DK048522). Statistical analysis was performed by Dr. Susan Groshen and Ms. Lingyun Ji of the Norris Comprehensive Cancer Center Biostatistics Core supported by NIH/NCI P30 CA 014089. Animal imaging was performed by the USC Molecular Imaging Center supported by NIH/NVRR S10. Liver tissues were obtained from the Liver Tissue Cell Distribution System (LTCDS) of the Univ. Minnesota. This project was supported in part by award number P30CA014089 from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health. Intern Juan Carlos Hernandez was funded by a CIRM Bridges award EDUC2-08381 to CSU, Channel Islands from the California Institute for Regenerative Medicine.
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Conception, design, and writing of the manuscript: DY, HRS, SMT, LC and KM. Acquisition of data: DY, XZ, HRS, MZ, HC, TM, YK, PN, YK, TM, and DF. Analysis and interpretation of data: VP, HRS, LC and KM. Study supervision: KM.
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Yeh, DW., Zhao, X., Siddique, H.R. et al. MSI2 promotes translation of multiple IRES-containing oncogenes and virus to induce self-renewal of tumor initiating stem-like cells. Cell Death Discov. 9, 141 (2023). https://doi.org/10.1038/s41420-023-01427-9
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DOI: https://doi.org/10.1038/s41420-023-01427-9