| Literature DB >> 35082668 |
Jingyue Wang1, Tong Zhou2, Ying Liu3, Shuangmin Chen3, Zhenxiang Yu3.
Abstract
Lung cancer is one of the malignant tumors that has seen the most rapid growth in terms of morbidity and mortality in recent years, posing the biggest threat to people's health and lives. In recent years, the nano-drug loading system has made significant progress in the detection, diagnosis, and treatment of lung cancer. Nanomaterials are used to specifically target tumor tissue to minimize therapeutic adverse effects and increase bioavailability. It is achieved primarily through two mechanisms: passive targeting, which entails the use of enhanced penetration and retention (EPR) effect, and active targeting, which entails the loading recognition ligands for tumor marker molecules onto nanomaterials. However, it has been demonstrated that the EPR effect is effective in rodents but not in humans. Taking this into consideration, researchers paid significant attention to the active targeting nano-drug loading system. Additionally, it has been demonstrated to have a higher affinity and specificity for tumor cells. In this review, it describes the development of research into active targeted nano-drug delivery systems for lung cancer treatment from the receptors' or targets' perspective. We anticipate that this study will help biomedical researchers use nanoparticles (NPs) to treat lung cancer by providing more and novel drug delivery strategies or solid ligands.Entities:
Keywords: active targeting; biological ligands; drug delivery; lung cancer; nanoparticle; receptors
Year: 2022 PMID: 35082668 PMCID: PMC8785094 DOI: 10.3389/fphar.2021.781425
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Receptors: principal categories, functions, and applications.
| Major categories of receptors | Functions and applications |
|---|---|
| VEGFR | Functions: increase vascular permeability; make lung cancer drug-resistant |
| • tLYP-1(NRP-1)enhanced the tumor inhibitory effect and reduced the side effects | |
| • Flk-1(VEGFR-2)enhanced the tumor inhibitory effect and reduced the side effects on heart and kidney | |
| αvβ3 Integrin | Functions: promoting tumor angiogenesis and tumor metastasis |
| • GRGDSP(αvβ3 and α5β1)inhibited tumor growth and reduced side effects | |
| • RGD (Integrin) improved the anti-tumor activity and delayed the release of loaded drugs | |
| • cRGD (Integrin) -PS-DOX was more likely to accumulate in tumors | |
| EGFR | Functions: involve in tumor growth and progression, including proliferation, angiogenesis, invasion and metastasis |
| • ER (EGFR) enhanced the targeting effect on PC-9 ( | |
| • EGF (EGFR) increased the distribution of NPs in tumor tissues, enhanced the uptake of NPs by lung cancer cells, and greatly enhanced the tumor-killing effect of drugs | |
| • APT improved tumor inhibition, induced apoptosis, and had more minor side effects | |
| σ Receptor | Functions: overexpressed in rapidly proliferating normal cells and cancer cells such as malignant melanoma, glioma, breast cancer, prostate cancer, SCLC and NSCLC |
| • AA improved the delivery efficiency of siRNA by 9 times | |
| • AA can target the overexpressed σ receptor | |
| Folate Receptor | Functions: tumor tissue specificity; tumor marker |
| • Improved the effectiveness and specificity of photodynamic therapy (PDT) | |
| • Den NPs:suitable carrier for co-delivery of siRNA and chemotherapeutic drugs in lung cancer cells | |
| • Efficacy of folate receptor-α (FRA)-targeted DOTAP | |
| • FA modified amphiphilic PEG-PLGA copolymer NPs carried with CDDP and PTX | |
| Transferrin Receptor | Functions: expression level is higher in cells with a high proliferation rate, especially in tumor cells |
| • As a monitoring index of gambogic acid therapy sensitivity | |
| • Combination of TFR and artemisinin could reduce small cell lung cancer drug resistance | |
| • Thymoquinone-NP modified transferrin successfully couples two different miRNA pathways | |
| CD44 | Functions: plays an important role in malignant tumor-related activities |
| • HA-PCL- CAP nanoparticles identified the potential for the treatment of non-small cell lung cancer |
FIGURE 1There are various targets on lung cancer cells, among which VEGFR, αvβ3 Integrin, EGFR, σ Receptor, Folate Receptor, Transferrin Receptor and CD44 are important targets. The nanoparticles with specific ligand structure loaded with anticancer drugs specifically bind to the receptors on the surface of lung cancer and deliver the drugs to the cells.
Some drugs and their mechanism of action in lung cancer therapy.
| Major categories of lung cancer drug therapy | Mechanism of action | Drugs |
|---|---|---|
| Chemotherapy | Platinum: By binding to the DNA in the nucleus, it destroys the DNA of tumor cells and induces apoptosis ( | Platinum: cisplatin, carboplatin and oxaliplatin |
| Taxane-type anticancer drugs: Through the unique microtubule stabilization mechanism, they act on the mitotic process, thus reducing the proliferation of cancer cells ( | Taxane-type anticancer drugs: paclitaxel, docetaxel and cabazitaxel | |
| Gemcitabine: By infiltrating the intracellular DNA, it inhibits DNA synthesis, and ultimately leads to apoptosis ( | Gemcitabine | |
| Etoposide(VP-16): It acts on DNA topoisomerase II, causing DNA damage and promoting apoptosis ( | Etoposide (VP-16) | |
| Targeted therapy | Tyrosine kinase inhibitors (TKIs): It can inhibit the growth and induce apoptosis of tumor cells by inhibiting the two signal transduction pathways of RAS/RAF/MAPK/ERK and PI3K/AKT/mTOR. ( | Tyrosine kinase inhibitors (TKIs): gefitinib and erlotinib |
| Receptor tyrosine kinase (RTK) inhibitor: Anti-tumor angiogenesis by selectively inhibiting vascular endothelial growth factor receptor-2 (EGFR-2) ( | Apatinib | |
| Immunotherapy | Programmed cell death (PD)-1 immune checkpoint inhibitors: By combining with PD-1 receptor highly expressed on T cells, it can block the signal pathway induced by PD-L1 and PD-L2, and restore the function of T cells ( | Nivolumab,pembrolizumab |
| Natural antitumor products | Combining the tumor targeting carriers with natural anti-tumor drugs in an appropriate way can improve the anti-tumor efficacy ( | Parthenolide,ginsenoside compound K |
| • Parthenolide: It can achieve anti-tumor effect by inhibiting B-Raf/MAPK/Erk signaling pathway, inhibiting NF-κB activation, and inhibiting PI3K/AKT signaling pathway ( | ||
| • CK: It can induce apoptosis through glycogen synthase kinase 3β(GSK3β) signaling pathway and regulating reactive oxygen species (ROS). It can inhibit angiogenesis by inhibiting sphingosine kinase -1 ( |
VEGFR antibody for active targeting of nanoparticle drug delivery systems.
| Types | Encapsulation percentage,EN% | Loading efficiency,LE% | Size (nm) |
|---|---|---|---|
| tLYP-1-PEG-NP | CK:83.4 | 14.8 | 188 |
| Parthenolide:70.7 | 2.9 | ||
| Flk-1-DSPE-PEG-NH2-NLC | CTX:98.43 + 0.51 | 3.34 ± 2.63 | 168.70 ± 2.07 |
avβ3 antibody for active targeting of nanoparticle drug delivery systems.
| Types | Encapsulation percentage,EN% | Loading efficiency,LE% | Size (nm) |
|---|---|---|---|
| PLGA-CSNP-RGD | PTX 93.7 | 6.5 | 217 |
| RGD-ss-PTX/CDDP LPNs | PTX 85.3 ± 3.3 | 5.4 ± 0.6 | 191.3 ± 5.3 |
| CDDP 82.7 ± 4.1 | 12.3 ± 1.1 | ||
| cRGD-PS-Dox | 15.2 | 96 |
EGFR antibody for active targeting of nanoparticle drug delivery systems.
| Types | PDI | Zeta potential (mV) | Size (nm) |
|---|---|---|---|
| ECMI | 0.41 ± 0.03 | −18.5 ± 1.7 | 220.0 ± 3.5 |
| Dox-EGF-PEAL NPs | 0.182 | 3.5 ± 0.88 | 203.7 ± 7.42 |
| Bcl-2-EGF-PEAL NPs | 0.217 | 2.1 ± 1.24 | 206.5 ± 6.37 |
| AP/ES | 0.27 ± 0.01 | 12.1 ± 0.1 | 383.1 ± 0.4 |
σ Receptor antibody for active targeting of nanoparticle drug delivery systems.
| Types | Size (nm) | Zeta potential (mV) |
|---|---|---|
| AA-siRNA-LCP NPs | 38.6 ± 3.6 | 29.1 ± 1.3 |
| AA-Cationic-LP NPs | 145 ± 1 | 49 ± 1 |
| Hal-BSA NPs | 218 | −25.4 |
Folate Receptor antibody for active targeting of nanoparticle drug delivery systems.
| Types | Size (nm) | Zeta potential (mV) |
|---|---|---|
| Den-PEI-CDDP-siRNA-FA NPs | <10 | 17.2 |
| HuR-FNP | Diameter 303.3 | 4.3 |
| Co-FA-NPs | 171.36 ± 8.67 | 21.50 ± 0.88 |