| Literature DB >> 35214121 |
Etienne J Slapak1,2,3, Mouad El Mandili1,2, Maarten F Bijlsma2,3, C Arnold Spek1.
Abstract
Pancreatic cancer is a devastating disease with the worst outcome of any human cancer. Despite significant improvements in cancer treatment in general, little progress has been made in pancreatic cancer (PDAC), resulting in an overall 5-year survival rate of less than 10%. This dismal prognosis can be attributed to the limited clinical efficacy of systemic chemotherapy due to its high toxicity and consequent dose reductions. Targeted delivery of chemotherapeutic drugs to PDAC cells without affecting healthy non-tumor cells will largely reduce collateral toxicity leading to reduced morbidity and an increased number of PDAC patients eligible for chemotherapy treatment. To achieve targeted delivery in PDAC, several strategies have been explored over the last years, and especially the use of mesoporous silica nanoparticles (MSNs) seem an attractive approach. MSNs show high biocompatibility, are relatively easy to surface modify, and the porous structure of MSNs enables high drug-loading capacity. In the current systematic review, we explore the suitability of MSN-based targeted therapies in the setting of PDAC. We provide an extensive overview of MSN-formulations employed in preclinical PDAC models and conclude that MSN-based tumor-targeting strategies may indeed hold therapeutic potential for PDAC, although true clinical translation has lagged behind.Entities:
Keywords: MSN; PDAC; antitumor; drug delivery; modification; targeted therapy
Year: 2022 PMID: 35214121 PMCID: PMC8876630 DOI: 10.3390/pharmaceutics14020390
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.321
Figure 1Flowchart explaining the systematic literature search. All retrieved papers were screened, and duplicates were removed, followed by exclusion based on title and abstract, full text, or quality.
MSN-based Therapies for Improved Drug Delivery in PDAC.
| MSN | Modification | Aim of | Experimental Model | Drug/ | Main Outcome | Ref. |
|---|---|---|---|---|---|---|
| MSN | PEG | Paclitaxel | [ | |||
| MSN | FC-Chain | Oxygen Delivery | Sonodynamic Therapy | [ | ||
| MSN | Folate | Camptothecin | [ | |||
| MSN | LY364947 | TGF-β inhibition | LY364947 | [ | ||
| MSN | ACVA | Cargo Release | Doxycycline | [ | ||
| MSN | PEG | Curcumin | [ | |||
| MSN | Gemcitabine | Gatekeeper | Pirfenidone/Gemcitabine | [ | ||
| MSN | Cetuximab Imidazole | ZnPcOBP | [ | |||
| MSN | Chitosan | Cargo Release | N6L | [ | ||
| MSN | Transferrin Chitosan | Gemcitabine | [ | |||
| MSN | Transferrin | Curcumin | [ | |||
| MSN | tMUC-antibody | Gemcitabine-/ | [ | |||
| MSN | Cetuximab | Zinc phthalocyanine | [ | |||
| MSN | ADAM9-linker | Cargo Release | Paclitaxel | [ | ||
| MSN | Paclitaxel | [ | ||||
| MSN | L-arginine | CO2 adsorption/ | Sonodynamic Therapy | [ | ||
| MSN | GPC1-antibody | Gemcitabine/ | [ | |||
| MSN | Chitosan | Cargo Release | Gemcitabine | [ | ||
| MSN | Doxorubicin | [ | ||||
| MSN | Quantum Dots | Cargo Loading | Doxorubicin/ | [ | ||
| MSN | Paclitaxel | [ | ||||
| Lipo-MSN | Paclitaxel/ | [ | ||||
| Lipo-MSN | PEG | Palbociclib/ | [ | |||
| Lipo-MSN | Irinotecan | [ | ||||
| Lipo-MSN | P1A1 | [ | ||||
| Lipo-MSN | iRGD | Irinotecan | [ | |||
| Lipo-MSN | PEG | Oxaliplatin/ | [ | |||
| Lipo-MSN | PEG | Irinotecan | [ | |||
| Lipo-MSN | PEG | Irinotecan | [ | |||
| Lipo-MSN | PEG | Irinotecan | [ | |||
| Lipo-MSN | Cyclosporine A | Bortezomib/ | [ | |||
| Lipo-MSN | PEG | Oxaliplatin/ | [ | |||
| Gold-MSN | IGF-1 | Gemcitabine/Perfluorohexane | [ | |||
| Gold-MSN | Transferrin | Gemcitabine | [ | |||
| Gold-MSN | Methylene Blue (Photodynamic Therapy) | [ | ||||
| Gold-MSN | V7-peptide Chitosan | Gemcitabine | [ | |||
| Iron-MSN | Camptothecin | [ | ||||
| Iron-MSN | Dicarboxylic acid | Cargo Release | Cisplatin | [ | ||
| Iron-MSN | Gemcitabine/ | [ | ||||
| Iron-MSN | Doxycycline | [ | ||||
| Iron-MSN | c(RGDfE) | Gemcitabine | [ | |||
| Iron-MSN | CCKBR aptamer G16 | FdUMP/ | [ |
• = in vitro, • = in vivo, Orth. = Orthotopic, Subc. = Subcutaneous, Intraperi. = Intrapertitoneal, ↑ = increased, ↓ = decreased, * indicates particularly relevant publication.
Figure 2Diagram summarizing loading strategies of different molecules (siRNA/DNA, oxygen, sonosensitizer (e.g., IR780), anticancer drugs (e.g., gemcitabine, cisplatin, curcumin, irinotecan, paclitaxel, palbociclib, and oxaliplatin), anti-stroma drugs (e.g., TGF-β inhibitor), antifibrotic drugs (e.g., pirfenidone), photosensitizers (e.g., ZnPcOBP and methylene blue), methods to prolong half-life, increase specificity and cellular uptake (passive targeting molecules (e.g., polyethyleneimine), PDAC targeting molecules/proteins (e.g., folic acid, transferrin, urokinase plasminogen activator, V7 peptides, cyclosporine A, IGF1, c(RGDfE), and CCKBR aptamer), stroma targeting molecules (e.g., iRGD), gatekeeper with pH sensitive linkers (e.g., chitosan, disulfide bonds, and poly(D,L-lactide-co-glycolide) (PLGA)), gatekeepers with protease linkers (e.g., ADAM9-responsive linker capped with avidin, thermoresponsive gatekeeper (e.g., aliphatic azo group capped with β-cyclodextrin), antibodies (e.g., tMUC-antibody, GPC1-antibody, Cetuximab, anti-claudin 4, and anti-mesothelin), and hybrid MSNs.