Targeting IGF2BP3 in Cancer: From Molecular Structure and Biology to Early Drug Discovery
Abstract
1. Introduction
2. IGF2BP3 Architecture, and Molecular Basis for RNA Recognition
3. Distinctive Features of IGF2BP3 Among IGF2BP Paralogs
4. IGF2BP3 in Cancer: A Central Hub Linking Epitranscriptomic and Post-Transcriptional Regulation
4.1. Mechanisms Underlying IGF2BP3 Dysregulation in Cancer
4.2. Mechanisms of IGF2BP3-Mediated Oncogenic Activity
5. Combining Molecular Insights and Chemical Strategies to Target IGF2BP3 in Cancer
5.1. Disrupting IGF2BP3-RNA Targets Interactions Using Small Molecules
5.1.1. I3IN-002: Early Proof-of-Concept for Pharmacological IGF2BP3 Inhibition
5.1.2. AE-848 as a Potential Modulator of IGF2BP3
5.1.3. Small-Molecule Modulators of IGF2BP Proteins
5.2. Rewiring IGF2BP3 Expression and Function Through Indirect Therapeutic Strategies
5.2.1. Targeting BET Proteins to Epigenetically Regulate IGF2BP3
5.2.2. Cancer Therapies in Clinical Trials Indirectly Targeting IGF2BP3
5.2.3. Natural Compounds with Unexpected Effects on IGF2BP3 Expression and Function
6. Critical Issues
- Clinical implementation of IGF2BP3 as a diagnostic or prognostic biomarker remains challenging. Optimal detection methods, scoring systems, and clinically standardized cut-offs still need to be established before its translation into routine clinical practice [138,139]. Moreover, intratumoral heterogeneity and antibody cross-reactivity with other IGF2BP family members may affect the interpretation of IGF2BP3 expression data, particularly in tumors co-expressing multiple paralogs [41]. Prospective studies using harmonized analytical approaches will be required to define the clinical utility of IGF2BP3 as a biomarker.
- Predictive biomarkers of response to IGF2BP3-targeted therapies need to be identified. Although IGF2BP3 expression itself represents the best candidate, future studies should determine whether integrating IGF2BP3 expression with molecular features, including m6A epitranscriptomic profiles, expression of IGF2BP3 target transcripts, and co-expression of key protein partners, can identify tumors that are more likely to benefit from IGF2BP3-targeted therapies.
- The similarity among IGF2BP paralogs, together with the dynamic and multivalent nature of IGF2BP–RNA interactions, impairs the development of compounds capable of achieving complete paralog selectivity. The absence of high-resolution structures of IGF2BP3–RNA complexes further limits structure-guided drug design approaches. As a consequence, potential cross-reactivity of IGF2BP3 inhibitors with related IGF2BP family members remains an important issue that requires careful evaluation. Since IGF2BP1 and IGF2BP2 contribute to distinct physiological and cancer-associated RNA regulatory networks, concomitant inhibition of these paralogs may influence both therapeutic efficacy and safety profiles. A deeper understanding of paralog-specific biology, target selectivity, and context-dependent functions will therefore be essential for the development of selective IGF2BP-targeted therapies.
- Resistance to either direct or indirect IGF2BP3-targeting strategies has not yet been specifically investigated. While this likely reflects the early stage of development of direct anti-IGF2BP3 agents, studies on indirect approaches have also not addressed resistance in the specific context of IGF2BP3 blockade, although resistance mechanisms to the individual targeted pathways have been extensively characterized [140,141,142,143,144]. Moreover, it remains unknown whether tumor cells exploit the functional redundancy among IGF2BP family members to sustain oncogenic signaling upon IGF2BP3 depletion. Elucidating these adaptive mechanisms will be crucial for anticipating resistance mechanisms and guiding the development of effective targeted therapies.
- Comprehensive studies are required to define the safety profile of IGF2BP3-targeted therapies. The restricted expression of IGF2BP3 in most adult tissues, together with its re-expression in many cancers, suggests a potentially favorable therapeutic window. Encouragingly, genetic deletion of Igf2bp3 does not impair normal hematopoiesis in transgenic mice [72,145]. However, potential adverse effects on reproductive functions should be carefully evaluated, as Igf2bp3 knockout mice exhibit defective spermatogenesis and male subfertility or infertility [146], and IGF2BP3 has been implicated in placental development through regulation of trophoblast proliferation, migration, and invasion [147]. Although these findings derive primarily from germline genetic models rather than therapeutic inhibition in adults, they identify fertility and pregnancy as important areas for future preclinical safety assessment. In addition, the potential consequences of inhibitor cross-reactivity with IGF2BP1 and IGF2BP2 with respect to adverse effects remain to be elucidated.
7. Conclusions and Future Perspectives
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AGO2 | Argonaute 2 |
| BBR | Berberine |
| BET | Bromodomain and extra-terminal domain |
| CCND1 | Cyclin D1 |
| CDK | Cyclin-dependent kinase |
| circRNA | Circular RNA |
| CETSA | Cellular thermal shift assay |
| ChIP | Chromatin immunoprecipitation |
| CLIP | Crosslinking immunoprecipitation |
| CRC | Colorectal cancer |
| DNA | Deoxyribonucleic acid |
| DARTS | Drug affinity responsive target stability |
| EMT | Epithelial–mesenchymal transition |
| EMSA | Electrophoretic mobility shift assay |
| eCLIP | Enhanced crosslinking and immunoprecipitation |
| ENL | Enterolactone |
| FDA | Food and Drug Administration |
| FTO | Fat mass and obesity-associated protein |
| G3BP1 | Ras GTPase-activating protein-binding protein 1 |
| HMGA1/2 | High mobility group A1/2 |
| IGF | Insulin-like growth factor |
| IGF1R | Insulin-like growth factor 1 receptor |
| IGF2 | Insulin-like growth factor 2 |
| IGF2BP1/2/3 | Insulin-like growth factor 2 mRNA-binding protein 1/2/3 |
| ISL | Isoliquiritigenin |
| KH domain | K homology domain |
| KIF20A | Kinesin family member 20A |
| lncRNA | Long non-coding RNA |
| MAPK | Mitogen-activated protein kinase |
| MAT2B | Methionine adenosyltransferase 2B |
| METTL3/METTL14 | Methyltransferase-like 3/14 |
| miRNA/miR | MicroRNA |
| MMP9 | Matrix metalloproteinase 9 |
| m6A | N6-methyladenosine |
| m7G | N7-methylguanosine |
| MST | Microscale thermophoresis |
| MYC/MYCN | MYC proto-oncogene/MYCN proto-oncogene |
| NF-κB | Nuclear factor kappa-light-chain-enhancer of activated B cells |
| NC | Nitidine chloride |
| NSCLC | Non-small cell lung cancer |
| PAR-CLIP | Photoactivatable ribonucleoside-enhanced crosslinking immunoprecipitation |
| PI3K/AKT | Phosphoinositide 3-kinase/protein kinase B pathway |
| PROTAC | PROteolysis TArgeting Chimera |
| RBP | RNA-binding protein |
| RISC | RNA-induced silencing complex |
| RNA | Ribonucleic acid |
| RNP | ribonucleoprotein |
| RRM | RNA recognition motif |
| RIP | RNA immunoprecipitation |
| seq | sequencing |
| STAT1 | Signal transducer and activator of transcription 1 |
| TAMs | Tumor-associated macrophages |
| TET3 | Ten-eleven translocation methylcytosine dioxygenase 3 |
| TME | Tumor microenvironment |
| TR-FRET | Time-resolved fluorescence resonance energy transfer |
| TWIST1 | Twist family bHLH transcription factor 1 |
| USP | Ubiquitin-specific protease |
| VEGF | Vascular endothelial growth factor |
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| Target mRNA | Binding Site | Regulation of Target mRNA | Reference |
|---|---|---|---|
| ABCF1 | n.a. | ABCF1 mRNA serves as a decoy for IGF2BP3, preventing the protein from binding to its oncogenic RNA targets | [47] |
| ABCG2 | n.a. | mRNA stabilization | [48,49] |
| ARF6 | n.a. | mRNA localization | [50] |
| ARHGEF4 | n.a. | mRNA localization | [50] |
| CCND1 | 3′-UTR; CDS | mRNA stability; protection from microRNA-dependent repression | [51,52,53] |
| CCND3 | 3′-UTR | mRNA stability; protection from microRNA-dependent repression | [53] |
| CCNG1 | 3′-UTR | mRNA stability; protection from microRNA-dependent repression | [53] |
| CD44 | 3′-UTR | mRNA stability | [54,55] |
| CD164 | n.a. | Translation enhancement | [56,57] |
| CDK2 | n.a. | Translation enhancement | [58] |
| CDK6 | 5′-UTR | mRNA stability via m6A | [59] |
| EIF4EBP2 | 3′-UTR | mRNA degradation | [60] |
| GPX4 | CDS; 3′-UTR | mRNA stability and translation | [61] |
| HMGA2 | 3′-UTR | Prevention of miRNA-directed mRNA decay | [62] |
| IGF1R | 3′-UTR | mRNA stability | [63,64] |
| IGF2 | 5′-UTR | Translation enhancement | [65] |
| KRAS | n.a. | Translation enhancement | [66] |
| LIN28B | 3′-UTR | Prevention of miRNA-directed mRNA decay | [62] |
| MAT2B | 3′-UTR | Translation enhancement | [67] |
| MYC | 3′-UTR | Translation enhancement | [68] |
| PDPN | 3′-UTR | mRNA stability | [55] |
| SNAI2 | 5′-UTR | Translation enhancement | [69] |
| STAT1 | n.a. | mRNA stability | [58] |
| TP53 | 3′-UTR | mRNA degradation | [70] |
| VEGF | n.a. | mRNA stability | [71] |
| Compound | Target Region | Mechanism | Biophysical/ Validation Techniques | Kd/IC50 (IGF2BP1/2/3) | In Vivo Tumor Model Outputs | Reproducibility Constraints | Reference |
|---|---|---|---|---|---|---|---|
| I3IN-002 | IGF2BP3 RRM12 (PDB: 6GX6) | Competitive RNA disruption | Virtual screening, TR-FRET, TSA, CTSA cell assays | Increase IGF2BP3 melting temperature (Tm) | ↓ leukemia metabolic activity and m6A levels in a syngeneic transplantation C57BL/6J mouse model | no selectivity data | [113,114] |
| AE-848 | IGF2BP3 RRM12 (docking-based) | Non-validated IGF2BP3 binding (Possible indirect modulation) | In silico docking, cell assays, in vivo xenografts | NR | ↓ ovarian xenograft growth and c-MYC/CDK2/VEGF expression; increased M1 macrophages | Limited SAR; docking-based data | [58] |
| 7773 | IGF2BP1 KH3–KH4 (±IGF2BP3) | Weak RNA competition | FP screening, MST, EMSA, 15N-HSQC NMR | IGF2BP1 Kd ≈ 17 μM; RNA inhibition IC50 ≈ 30 μM; IGF2BP3 Kd ≈ 52 μM; IGF2BP2: NR | NR | Low potency; partial IGF2BP3 inhibition; limited selectivity | [66] |
| AVJ16 | IGF2BP1 KH3–KH4 | Competitive RNA disruption | FP, MST, 15N-HSQC NMR, CETSA, cell assays, in vivo | IGF2BP1 Kd = 1.4 μM; IGF2BP2/3: same as 7773 | ↓ tumor growth and organoid viability in IGF2BP1-driven models | Mainly IGF2BP1-focused; limited paralog profiling | [115,116] |
| Compound 4 | IGF2BP2 KH3–KH4 (±RRM1 model) | Weak RNA competition | FP screening, STD-NMR, docking (KH3–KH4/RRM1 homology model) | IC50 ≈ 81 μM IGF2BP2–RNA inhibition; IGF2BP1/3: NR | ↓ tumor growth in a zebrafish embryo xenograft model | Computational binding model; low potency | [117] |
| Compound | Target Region | Mechanism | Biophysical/ Validation Techniques | In Vivo Tumor Model Outputs | Reproducibility Constraints | Reference |
|---|---|---|---|---|---|---|
| JQ1 | BET (BRD2/3/4 bromodomains) | Chromatin displacement (BET inhibition) | ChIP (H3K27ac/ BRD4), transcriptomics | ↓ IGF2BP3 expression; reduced xenograft growth | Indirect IGF2BP3 regulation; context-dependent response | [47,68,124] |
| I-BET-762 | BET bromodomains | Chromatin displacement | Bromodomain binding assays, gene expression profiling | Antitumor activity reported; IGF2BP3-specific effects NR | IGF2BP3 effects require cellular validation | [119] |
| ARV-771 | BRD4 | Protein degradation (PROTAC) | PROTAC degradation assays, ChIP | ↓ IGF2BP3 expression; inhibited xenograft growth | Depends on E3 ligase expression and cellular context | [125] |
| dBET1 | BET proteins | Targeted degradation | Western blot, degradation kinetics | Dose-dependent IGF2BP3 degradation; stronger suppression than JQ1 | Pharmacokinetic and degradation limitations | [123] |
| Rigosertib | IGF2BP3 RNA network (indirect) | Post-transcriptional network disruption (Ras/PI3K-linked) | eCLIP-seq, RNA-seq, m6A-seq, xenografts | ↓ Tumor growth; ↑ ferroptosis sensitivity | Multi-target mechanism complicates IGF2BP3 attribution | [126] |
| Trabectedin | DNA minor groove/HMGA axis | Transcriptional interference → IGF2BP3 suppression | ChIP, transcriptomics, DNA-binding assays | Antitumor activity in sarcoma/ovarian models | Complex DNA damage, immune, and transcriptional effects | [127] |
| Nitidine chloride (NC) | IGF2BP3 axis (putative) | Expression suppression/RNA program disruption | Docking, MD simulations, MeRIP-seq, RIP-seq | ↓ HCC growth and metastasis (zebrafish) | Direct binding requires biochemical confirmation | [130,131] |
| Berberine (BBR) | IGF2BP3 | Protein destabilization (ubiquitin-mediated) | CETSA, DARTS, RIP, ubiquitination assays | ↓ CRC growth; reduced IGF2BP3 stability | Pleiotropic effects; IGF2BP3 contribution unclear | [133,134,135] |
| Isoliquiritigenin (ISL) | IGF2BP3/m6A/TWIST1 axis | Epitranscriptomic suppression | m6A profiling, rescue assays | ↓ NSCLC proliferation, migration, and invasion | m6A-dependent mechanism; no direct binding evidence | [136] |
| d-ICD (isocorydine derivative) | IGF2BP3 | Expression suppression | In vivo tumor models, proliferation assays | ↓ HCC growth in vivo | Limited mechanistic validation | [48] |
| Enterolactone (ENL) | IGF2BP3 → VEGF/PI3K/AKT axis | Pathway suppression | Expression profiling, microbiome analysis | ↓ Ovarian tumor growth, invasion, angiogenesis | Microbiome and indirect pathway effects complicate interpretation | [137] |
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Uliassi, E.; Bolognesi, M.L.; Scotlandi, K.; Mancarella, C. Targeting IGF2BP3 in Cancer: From Molecular Structure and Biology to Early Drug Discovery. Int. J. Mol. Sci. 2026, 27, 6992. https://doi.org/10.3390/ijms27156992
Uliassi E, Bolognesi ML, Scotlandi K, Mancarella C. Targeting IGF2BP3 in Cancer: From Molecular Structure and Biology to Early Drug Discovery. International Journal of Molecular Sciences. 2026; 27(15):6992. https://doi.org/10.3390/ijms27156992
Chicago/Turabian StyleUliassi, Elisa, Maria Laura Bolognesi, Katia Scotlandi, and Caterina Mancarella. 2026. "Targeting IGF2BP3 in Cancer: From Molecular Structure and Biology to Early Drug Discovery" International Journal of Molecular Sciences 27, no. 15: 6992. https://doi.org/10.3390/ijms27156992
APA StyleUliassi, E., Bolognesi, M. L., Scotlandi, K., & Mancarella, C. (2026). Targeting IGF2BP3 in Cancer: From Molecular Structure and Biology to Early Drug Discovery. International Journal of Molecular Sciences, 27(15), 6992. https://doi.org/10.3390/ijms27156992

