Cited by 1,073Nanoparticle-Based Drug DeliveryNanoplatforms for cancer theranosticsDendrimers and Hyperbranched Polymers

The DOI matches its Crossref record; 355 of the 356 references it cites were found in a registry or an index; 3 of the 273 sources its claims cite were checked for support.

Smart nanoparticles for cancer therapy

Open access
Sun, Leming, Liu, Hongmei, Ye, Yanqi, Lei, Yang, Islam, Rehmat, Tan, Sumin, Tong, Rongsheng, Miao, Yang-Bao, Cai, Lulu·2023·Signal Transduction and Targeted Therapy

Abstract

Smart nanoparticles, which can respond to biological cues or be guided by them, are emerging as a promising drug delivery platform for precise cancer treatment. The field of oncology, nanotechnology, and biomedicine has witnessed rapid progress, leading to innovative developments in smart nanoparticles for safer and more effective cancer therapy. In this review, we will highlight recent advancements in smart nanoparticles, including polymeric nanoparticles, dendrimers, micelles, liposomes, protein nanoparticles, cell membrane nanoparticles, mesoporous silica nanoparticles, gold nanoparticles, iron oxide nanoparticles, quantum dots, carbon nanotubes, black phosphorus, MOF nanoparticles, and others. We will focus on their classification, structures, synthesis, and intelligent features. These smart nanoparticles possess the ability to respond to various external and internal stimuli, such as enzymes, pH, temperature, optics, and magnetism, making them intelligent systems. Additionally, this review will explore the latest studies on tumor targeting by functionalizing the surfaces of smart nanoparticles with tumor-specific ligands like antibodies, peptides, transferrin, and folic acid. We will also summarize different types of drug delivery options, including small molecules, peptides, proteins, nucleic acids, and even living cells, for their potential use in cancer therapy. While the potential of smart nanoparticles is promising, we will also acknowledge the challenges and clinical prospects associated with their use. Finally, we will propose a blueprint that involves the use of artificial intelligence-powered nanoparticles in cancer treatment applications. By harnessing the potential of smart nanoparticles, this review aims to usher in a new era of precise and personalized cancer therapy, providing patients with individualized treatment options.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review surveys the landscape of "smart" nanoparticles for cancer therapy — polymeric, biomimetic, and inorganic carriers that respond to endogenous or exogenous stimuli and can be surface-functionalized for tumor targeting. It catalogs carrier types, stimuli, targeting ligands, payload classes, AI-enabled design, and the clinical pipeline, while flagging toxicity, regulatory, and translation hurdles.

Key findings

  • Smart nanoparticles are classified into polymer-based (polymeric NPs, dendrimers, micelles), biomimetic (liposomes, protein NPs, cell membrane NPs), inorganic (mesoporous silica, gold, iron oxide, quantum dots, carbon nanotubes), and advanced types (black phosphorus, MOFs, topologically heterogeneous NPs), each with distinct structures, synthesis routes, and intelligent features.
  • They respond to endogenous stimuli (pH, enzymes, redox) and exogenous stimuli (temperature, light, ultrasound, electric field, magnetic field); tumor extracellular pH is ~6.5–7, endosomes ~5–6.5, lysosomes ~4.5–5, and intracellular GSH is 2–10 mM (thousands-fold higher than extracellular).
  • Active targeting is achieved by functionalizing surfaces with antibodies (e.g., cetuximab/EGFR, trastuzumab/HER2, anti-PSMA, anti-GPC3), peptides (RGD, T7, Angiopep-2, TAT, R8), aptamers (A10/A9 PSMA, MUC1, AS1411, Sgc8), folic acid, and transferrin.
  • Payloads now extend beyond small molecules to peptides/proteins, nucleic acids, living cells, and combination regimens; Doxil (FDA 1995) was the first approved nanomedicine, and CPX-351 (Vyxeos) uses a 5:1 cytarabine:daunorubicin molar ratio for AML.

Methods

  • Narrative review; no primary data collection or meta-analysis.
  • Synthesizes literature on nanocarrier classification, synthesis methods, stimuli-responsive mechanisms, targeting ligand strategies, payload types, AI-powered nanoparticle design, and clinical translation.
  • Includes two summary tables: clinically approved nanoparticle formulations (Table 2) and ongoing clinical trials (Table 3), plus a peptide-modification table (Table 1).

Limitations

  • The paper states that most nanoparticles accumulate in vital organs (lungs, spleen, kidneys, liver, heart) rather than being cleared, causing toxicology concerns; human toxicity studies remain scarce relative to animal studies.
  • It notes regulatory approval is the main commercialization obstacle — only a few smart nanoparticle anticancer drugs have received FDA approval in the 27 years since Doxil (1995), and the absence of specific rules complicates clearance.
  • The paper states AI-powered nanoparticles are "still in its infancy," with unresolved safety, biocompatibility, regulatory, and clinical-validation issues; the text also makes evident that the review is descriptive rather than systematic, and that human EPR effects are less effective than in rodents.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41392-023-01642-x

Cites

355 of 355 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Fig. 1 Schematic illustration of smart nanoparticles for cancer treatment
Fig. 1 Schematic illustration of smart nanoparticles for cancer treatmentCC BY · PubMed Central
Fig. 2 Nanocarriers for smart nanoparticles
Fig. 2 Nanocarriers for smart nanoparticlesCC BY · PubMed Central
Fig. 3 The endogenous and exogenous stimuli of smart nanoparticles for cancer therapy
Fig. 3 The endogenous and exogenous stimuli of smart nanoparticles for cancer therapyCC BY · PubMed Central
Fig. 4 Tumor-specific target modification of smart nanoparticles categorized by aptamer, antibody, peptide, folic acid and transferrin
Fig. 4 Tumor-specific target modification of smart nanoparticles categorized by aptamer, antibody, peptide, folic acid and transferrinCC BY · PubMed Central
Fig. 5 Timeline of the development of smart nanoparticles for cancer diagnosis and treatment
Fig. 5 Timeline of the development of smart nanoparticles for cancer diagnosis and treatmentCC BY · PubMed Central

Verification

Claims the paper makes

215 Not checked yet · 35 Own interpretation · 16 No basis given · 2 Supported · 1 Partly supported · accuracy not yet measured

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Show all 108 claims

  • It may state two separate claims as one. 130
  • Probably not a substantial claim. 45
161 of 161
  • The paper relies on this without support.

    GSH is four times higher in tumors than in healthy tissues, and its intracellular concentration (2-10 mM) is thousands of times higher than in the extracellular compartment.

    “In particular, GSH is four times higher in tumors than in healthy tissues, and its intracellular concentration (2-10 mM) is thousands of times higher than in the extracellular compartment.”
  • The paper relies on this without support.

    RGD peptides have high affinity with αvβ3 integrin receptors, making RGD a unique molecular ligand targeting tumor.

    “RGD peptides have high affinity with αvβ3 integrin receptors, which makes RGD a unique molecular ligand targeting tumor.”
  • The paper relies on this without support.

    Angiopep-2 has high affinity with LPRs overexpressed on BBB endothelial cells and GBM cells, and is considered an effective ligand for glioma.

    “Angiopep-2 has high affinity with low-density lipoprotein receptors (LPRs) overexpressed on the surface of blood-brain barrier endothelial cells and GBM cells, and is considered a target effective ligand for glioma.”
  • The paper relies on this without support.

    A54 peptide binds to hepatic carcinoma and is the most effective peptide for BEL-7402 cells.

    “In a phage display random peptide library, the A54 peptide is a peptide that binds to hepatic carcinoma. For the human hepatoma cancer cell line BEL-7402, it is the most effective peptide.”
  • The paper relies on this without support.

    EGFR is overexpressed in a variety of highly aggressive tumors and is a promising target for tumor therapy.

    “EGFR is overexpressed in a variety of highly aggressive tumors and is a promising target for tumor therapy.”
  • The paper relies on this without support.

    HER2 is a useful target for therapy of breast and ovarian cancer, and HER2 cyclic peptide is the only FDA-approved HER2 targeted medication for breast cancer.

    “HER2 is a useful target for the therapy of breast and ovarian cancer, as was already mentioned. The only HER2 targeted medication for the treatment of breast cancer that has received FDA approval is HER2 cyclic peptide.”
  • The paper relies on this without support.

    IL-13 is highly expressed in malignant tumors but low in normal tissues, and has been developed as a tumor-specific targeting ligand.

    “IL-13 is a cytokine that binds to two receptor chains. It is highly expressed in a variety of malignant tumors, but the expression level in normal tissues is very low or undetectable. IL-13 has been developed as a tumor-specific targeting ligand.”
  • The paper relies on this without support.

    TfR is highly expressed on cancer cell surfaces and is the most common target receptor for drug delivery systems.

    “Transferrin receptor (TfR) is highly expressed on the surface of cancer cells. Therefore, the transferrin receptor is also the most common target receptor for drug delivery systems.”
  • The paper relies on this without support.

    T7 peptide is a heptapeptide with high binding affinity to TfR.

    “T7 peptide is a heptapeptide with high binding affinity to TfR.”
  • The paper relies on this without support.

    Angiogenesis is closely related to tumor growth and metastasis, and targeted angiogenesis has shown significant anti-tumor efficiency.

    “Angiogenesis is closely related to tumor growth and metastasis, and targeted angiogenesis has shown significant anti-tumor efficiency in cancer treatment.”
  • The paper relies on this without support.

    TAT peptide is the most widely used CPP, derived from HIV Tat protein, and its 11 amino acids YGRKKRRQRRR is the smallest sequence for cell penetration.

    “TAT peptide is the most widely used CPP in drug delivery. The TAT peptide is derived from the protein transduction domain of the human immunodeficiency virus Tat protein. The 11 amino acids YGRKKRRQRRR of Tat is the smallest sequence that leads to cell penetration.”
  • The paper relies on this without support.

    TAT can penetrate cell membranes efficiently and carry macromolecular drugs 100 times larger than Tat across cell membranes.

    “TAT can not only penetrate cell membranes efficiently, but can also carry macromolecular drugs that are 100 times larger than Tat across cell membranes.”
  • The paper relies on this without support.

    TD peptide temporarily opens the paracellular pathway and promotes drug to pass through the skin completely.

    “TD has the advantage that it can temporarily open the paracellular pathway and promote the drug to pass through the skin completely.”
  • The paper relies on this without support.

    R8 is a cationic peptide that promotes transportation across absorption barrier by forming electrostatic bond with negatively charged cell membrane.

    “R8 is a cationic peptide containing basic amino acid residues. It is a promising cell penetrating peptide, which can promote transportation across the absorption barrier by forming an electrostatic bond with the negatively charged part of the cell membrane.”
  • The paper relies on this without support.

    Double-peptide modification endows smart nanocarriers with more functions than single-peptide modification.

    “Compared with single-peptide modification, double-peptide modification can endow smart nanocarriers with more functions, which has also aroused great interest.”
  • The paper relies on this without support.

    TfR is overexpressed on a variety of metastatic and drug-resistant tumor cells including brain cells.

    “Transferrin receptor (TfR) is overexpressed on a variety of metastatic and drug-resistant tumor cells (including brain cells).”
  • The paper relies on this without support.

    Single drug therapy based on a single chemotherapy regimen is often not ideal in clinical efficacy.

    “Single drug therapy based on single chemotherapy regimen is often not ideal in clinical efficacy, the complexity of cancer makes it necessary to develop a combination of two or more treatment schemes to achieve better anti-cancer effect.”
  • The paper relies on this without support.

    The complexity of cancer makes it necessary to develop a combination of two or more treatment schemes to achieve better anti-cancer effect.

    “Single drug therapy based on single chemotherapy regimen is often not ideal in clinical efficacy, the complexity of cancer makes it necessary to develop a combination of two or more treatment schemes to achieve better anti-cancer effect.”
  • The paper relies on this without support.

    Gemcitabine monotherapy is the standard treatment choice for patients with advanced breast cancer, but it does not prolong the median survival time of patients with metastatic breast cancer.

    “For instance, gemcitabine monotherapy is the standard treatment choice for patients with advanced breast cancer, it does not prolong the median survival time of patients with metastatic breast cancer.”
  • The paper relies on this without support.

    Traditional free drug combinations cannot reach the tumor after intravenous injection and fail to maintain the correct drug ratio.

    “Traditional free drug combinations cannot reach the tumor after intravenous injection and fail to maintain the correct drug ratio.”
  • The paper relies on this without support.

    Rapid clearance is a ubiquitous challenge for nanoparticle-based drug delivery.

    “Rapid clearance is a ubiquitous challenge for nanoparticle-based drug delivery.”
  • The paper relies on this without support.

    Conventional nanoparticles can collect in the lungs, spleen, kidneys, liver, and heart, depending on their chemical composition, size, shape, specific surface area, surface charge, and presence or absence of a shell around them.

    “Conventional nanoparticles can collect in the lungs, spleen, kidneys, liver, and heart, depending on their chemical composition, size, shape, specific surface area, surface charge, and presence or absence of a shell around them.”
  • The paper relies on this without support.

    The bulk of nanoparticles collect in the body’s important organs rather than being eliminated from the body.

    “The bulk of nanoparticles collect in the body’s important organs rather than being eliminated from the body.”
  • The paper relies on this without support.

    Animals have been used in a large number of in vitro and in vivo toxicity studies, but there have only been a small number of human investigations.

    “Animals have been used in a large number of in vitro and in vivo toxicity studies, but there have only been a small number of human investigations.”
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Citations

Cites

2 retracted

Show all 356 references

Research works printed but not linked: 1

  1. Kim, Y. J. & Matsunaga, Y. T. Thermo-responsive polymers and their application as smart biomaterials. J. Mater. Chem. B 5, 4307–4321 (2017). · DOI · Paper page

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Metadata

Authors
Sun, L., Liu, H., Ye, Y., Lei, Y., Islam, R., Tan, S., Tong, R., Miao, Y.-B., & Cai, L.
Affiliations
  • University of Electronic Science and Technology of China (CN)
  • Sorrento Therapeutics (United States) (US)
  • Northwestern Polytechnical University (CN)
Corresponding author
  • Miao, Yang-Bao
  • Cai, Lulu
Venue
Signal Transduction and Targeted Therapy
Published
2023-11-03
Volume
8
Issue
1
Pages
418-418
ISSN
2059-3635 (ISSN-L)
OpenAlex
W4388275106
Cited by
1,073
References
356
Citations by year
2026: 333 · 2025: 496 · 2024: 240 · 2023: 3
FWCI
18.78
Type
journal article
Language
en
Open access
Locations
  • Signal Transduction and Targeted Therapy (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (81972901, 31900984, U2230123, 82304789, 82304969)
  • China Postdoctoral Science Foundation (2022M720670, 2022M710623)
  • Department of Science and Technology of Sichuan Province (2023NSFSC0033, 2019YFS0514, 2022YFS0606, 2023YFS0131, 2023YFS0125)
  • National Key Research and Development Program of China (2020YFC2005500)
Topics
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
  • Physical Sciences › Materials Science › Polymers and Plastics › Dendrimers and Hyperbranched Polymers
Keywords
smart nanoparticles, cancer therapy, stimuli-responsive drug delivery, polymeric nanoparticles, dendrimers, micelles, liposomes, protein nanoparticles, mesoporous silica nanoparticles, gold nanoparticles, iron oxide nanoparticles, quantum dots, carbon nanotubes, black phosphorus, metal-organic framework nanoparticles, tumor targeting, antibody-functionalized nanoparticles, peptide-functionalized nanoparticles, folic acid, transferrin, artificial intelligence in drug delivery, precision oncology
MeSH terms
Artificial Intelligence, Gold, Humans, Neoplasms, Peptides, Nanotubes, Carbon, Metal Nanoparticles

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