From Innate Immunity to Cancer Therapy: Antimicrobial Peptides as Emerging Anticancer Agents
Abstract
1. Introduction
2. Classification and Sources of AMPs
2.1. Structural Classification
2.2. Charge-Based Classification
2.3. Source Diversity
3. Mechanisms of Anticancer Action
3.1. Membrane Disruption as a Primary Mechanism of Anticancer Action
3.2. Induction of Apoptosis and Necrosis
3.3. Immunogenic Cell Death (ICD)
3.4. Angiogenesis Inhibition and Immune Modulation
3.5. Intracellular Targeting
4. Structure-Activity Relationship (SAR)
4.1. Roles of Net Charge, Hydrophobicity, Amphipathicity, and Peptide Length
4.2. Rational Design Approaches and Synthetic Modifications
- (A)
- D-Amino Acid Substitution
- (B)
- Cyclization
- (C)
- Incorporation of Non-Natural Amino Acids
- (D)
- PEGylation and Glycosylation
4.3. Computational Prediction and Peptide Design Tools for Amps and Acps Discovery
- (A)
- Direct Sequence Analysis
- (B)
- QSAR-Based Supervised Learning Techniques
- (C)
- Linguistic Models and Reduced Amino Acid Alphabets
- (D)
- CAMPR3
- (E)
- AMPs Scanner v2
- (F)
- AntiCP 2.0
- (G)
- Rosetta Peptide Design
- (H)
- Other Computational Approaches
5. Delivery Strategies for ACPs in Cancer Therapy
5.1. Nanocarrier Delivery
- (A)
- Niosomes
- (B)
- Liposomes
- (C)
- Polymeric Nanoparticles
- (D)
- Polymeric Micelles
- (E)
- Dendrimers
5.2. Role of Nanocarriers in AMP Delivery
- Conjugation with targeting ligands
- (A)
- Folate-Mediated Targeted Drug Delivery
- Conjugates of Folate and Drugs
- II.
- Nanoparticles Conjugated with Folate
- (B)
- Carbohydrate-Mediated Targeted Drug Delivery
- (C)
- Targeting Mediated by Transferrin
5.3. Hydrogel and Microneedle-Based Systems for Localized Therapy
- (A)
- Hydrogel microneedles
- (B)
- Stimulus-Responsive Microneedles
6. Preclinical and Clinical Evaluation
6.1. Summaries of In Vitro and In Vivo Studies Showing Tumor Regression
- (A)
- In Vitro Antitumor Mechanisms
- (B)
- Tumor Regression in Vivo
- (C)
- In vitro Cytotoxicity:
6.2. Clinical Translation and Current Status of Anticancer Peptide Clinical Trials
- (A)
- Anticancer peptides that have been approved
- (B)
- Active Clinical Trials for Anticancer Peptides
- (C)
- Recently Completed and Ongoing Clinical Trials
6.3. Pharmacokinetics, Biodistribution, and Toxicity Considerations
7. Challenges and Limitations
7.1. Proteolytic Degradation and Stability
- (A)
- Instability of Nucleic Acid and Peptide Nanostructures
- (B)
- Proteolytic Susceptibility of Self-Assembling Peptides (SAPs)
- (C)
- Enzymatic Instability of AMPs
7.2. Techniques for Stability Assessment
7.3. Non-Selective Toxicity at Higher Doses
- (A)
- Dose-Toxicity Relationships
- (B)
- Strategies to Reduce Toxicity
7.4. High Production Costs and Formulation Challenges
- (A)
- Solubility and Concentration Constraints
- (B)
- Scale-Up and Manufacturing Complexity
- (C)
- Regulatory and Delivery Barriers
7.5. Resistance Mechanisms and Immunogenic Responses
7.6. Adaptive and Primary Immune Resistance
7.7. Interferon Signaling Functions
8. Future Perspectives
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AMPs | Antimicrobial Peptides |
| ACPs | Anticancer Peptides |
| ICD | Immunogenic Cell Death |
| VEGF | Vascular Endothelial Growth Factor |
| SAR | Structure-Activity Relationship |
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| Structural Class | Description/Mechanism | Examples | References |
|---|---|---|---|
| α-helical | These powerful short amphipathic (cationic) sequences adopt helical conformations upon contact with membranes. The anticancer activity of α-helical ACPs is strongly linked to their hydrophobicity, orientation, and ability to destabilize the packing of lipids in cancer cell membranes, leading to necrosis through membrane insertion. | Magainin II, Aurein 1, L-K6, LL-37, Melittin | [14,15] |
| β-sheet | β-sheet peptides can develop more rigidity from two or more disulfide bonds. These peptides are common in animals and plants. The represented ACPs bovine lactoferrin (LfcinB) and human neutrophil peptide (HNP-1) are examples of membrane-disruptive activity due to their ability to form pores as described with SVS-1 in lung, epidermal, and breast cancer cells. | LfcinB, HNP-1 | [16] |
| αβ-mixed | αβ-mixed peptides feature both helical and sheet domains. The structural flexibility afforded by combined helical and β-sheet architecture facilitates dynamic interactions with cancer cell membranes. | Human β-defensin-3 | [17] |
| Non-αβ/Extended | Non-αβ or extended/coil peptides are also not represented by regular secondary structure and are enriched with the residues tryptophan, proline, and glycine. These peptides can exist in these flexible conformations to insert deep into lipid bilayers. | Indolicidin, Alloferon, PR-39 | [17,18] |
| Cyclic peptides | Cyclic peptides often display increased stability compared to their linear counterparts due to head-to-tail cyclization or disulfide-bonded loops. | Diffusa Cytide 1-3, H-10 | [19] |
| Source Category | AMPs | ACPs | References |
|---|---|---|---|
| Plants Derived | Examples are thionins, defensins, hevein-like peptides, knottins, α-hairpinins, lipid transfer proteins, snakins, and non-cysteine-rich peptides; Thi2.1, Mj-AMP2, petunia defensins, PmAMP1, SN-1. | Grifficyclocin B (Goniothalamus spp.); acts via membrane disruption and apoptosis induction. | [25,26] |
| Animals Derived | Found in mammals, reptiles, amphibians, fish, invertebrates; examples: LL-37, indolicidin, protegrins, HNP-1-4, HBD-1-4, histatins, dermcidin. | Induction includes jaspamide, dolastatin 10, melittin, gomesin, pardaxin, magainin 2, crotamine, LL-37; mechanisms include membrane disruption, apoptosis, and anti-angiogenesis. | [27,28] |
| Microorganisms Derived | Synthesized by non-ribosomal peptide synthetases (NRPSs); examples: nisin (Lactococcus lactis), mersacidin (Bacillus sp), PAF (Penicillium chrysogenum). | Includes bacteriocins and other peptides causing membrane damage, oxidative stress, and apoptosis. | [29,30] |
| Synthetic and Engineered AMPs | Chemically synthesized and designed AMPs such as pexiganan, omiganan, LTX-109, brilacidin; recombinant production of diverse and varied AMPs. | Modified ACPs with enhanced stability and selectivity via D-amino acids, cyclization, targeting (RGD, TAT), nanoparticles; example: LTX-315 (clinical trials). | [25,27,29,30] |
| Parameter | AMPs | ACPs |
|---|---|---|
| Net Charge | These peptides interact with negatively charged bacterial membranes through electrostatic forces. Increased positive charge increases membrane disruption but may increase toxicity for eukaryotic cells due to excessive charge [47]. Example: Bac2A shows enhanced activity due to higher charge [48]. | ACPs utilize positively charged amino acid residues (Arginine, Lysine) to target cancer cells having Membranes containing phosphatidylserine. Arginine to Lysine replacement may help retain activity and minimize toxicity [49]. |
| Hydrophobicity | Hydrophilic residues assist membrane targeting, whereas hydrophobic residues (Tryptophan, Phenylalanine) improve activity but reduce selectivity and toxicity [50]. QSAR shows hydrophobic patch size is critical (max S5 > 2) [51]. | Increased hydrophobicity stabilizes helical structure and enhances tumor penetration and cytotoxicity, but excessive hydrophobicity leads to hemolytic toxicity [52]. |
| Amphipathicity | The amphipathicity of helix/sheet enables proper interaction and disruption of the membrane. Excessive rigidity can result in toxicity. CD results indicate that the active peptides assume a structured conformation on membrane binding [47,53]. | Membrane disruption by ACPs occurs through their amphipathicity. Proper hydrophobic and hydrophilic balance is important for selectivity [54]. |
| Peptide Length | Small peptides (10–20 amino acid residues) are active but can affect selectivity and potency. Length of the peptide is essential to maintain therapeutic effectiveness. For instance, Bac2A and 12-mer derivatives exhibit satisfactory activity [48]. | Reduced ACPs maintaining essential domains boost efficiency, tissue permeability, economy, and pharmacokinetic attributes [17]. Enhanced hydrophobicity (for example, V13KL variants) results in increased activity; however, high hydrophobicity decreases efficiency and causes hemolytic reactions [55,56]. |
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Raut, N.; Vohra, S.; Kaushalye, P.; Mane, S.; Malode, D.; Umekar, M.; Alhudhaibi, A.M.; Chaudhary, A.A.; Trivedi, R. From Innate Immunity to Cancer Therapy: Antimicrobial Peptides as Emerging Anticancer Agents. Int. J. Mol. Sci. 2026, 27, 5179. https://doi.org/10.3390/ijms27125179
Raut N, Vohra S, Kaushalye P, Mane S, Malode D, Umekar M, Alhudhaibi AM, Chaudhary AA, Trivedi R. From Innate Immunity to Cancer Therapy: Antimicrobial Peptides as Emerging Anticancer Agents. International Journal of Molecular Sciences. 2026; 27(12):5179. https://doi.org/10.3390/ijms27125179
Chicago/Turabian StyleRaut, Neha, Saeed Vohra, Pooja Kaushalye, Sainath Mane, Divya Malode, Milind Umekar, Abdulrahman Mohammed Alhudhaibi, Anis Ahmad Chaudhary, and Rashmi Trivedi. 2026. "From Innate Immunity to Cancer Therapy: Antimicrobial Peptides as Emerging Anticancer Agents" International Journal of Molecular Sciences 27, no. 12: 5179. https://doi.org/10.3390/ijms27125179
APA StyleRaut, N., Vohra, S., Kaushalye, P., Mane, S., Malode, D., Umekar, M., Alhudhaibi, A. M., Chaudhary, A. A., & Trivedi, R. (2026). From Innate Immunity to Cancer Therapy: Antimicrobial Peptides as Emerging Anticancer Agents. International Journal of Molecular Sciences, 27(12), 5179. https://doi.org/10.3390/ijms27125179

