| Literature DB >> 31799190 |
George Mattheolabakis1, Constantinos M Mikelis2.
Abstract
Tumor-induced angiogenesis has been a significant focus of anti-cancer therapies for several decades. The immature and "leaky" tumor vasculature leads to significant cancer cell intravasation, increasing the metastatic potential, while the disoriented and hypo-perfused tumor vessels hamper the anti-tumor efficacy of immune cells and prevent the efficient diffusion of chemotherapeutic drugs. Therefore, tumor vascular normalization has emerged as a new treatment goal, aiming to provide a mature tumor vasculature, with higher perfusion, decreased cancer cell extravasation, and higher efficacy for anti-cancer therapies. Here we propose an overview of the nanodelivery approaches that target tumor vasculature, aiming to achieve vascular normalization. At the same time, abnormal vascular architecture and leaky tumor vessels have been the cornerstone for nanodelivery approaches through the enhanced permeability and retention (EPR) effect. Vascular normalization presents new opportunities and requirements for efficient nanoparticle delivery against the tumor cells and overall improved anti-cancer therapies.Entities:
Keywords: delivery; nanoparticles; normalization; tumor; vessel
Year: 2019 PMID: 31799190 PMCID: PMC6863425 DOI: 10.3389/fonc.2019.01227
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1Schematic representation of the tumor vessel normalization's impact on intratumoral interstitial pressure and drug delivery efficiency. Normalized tumor vessels decrease tumor hypoxia and intratumoral interstitial pressure, which increases the anti-cancer drug delivery efficiency. Nanocarrier size is a limiting factor for optimal targeting and delivery, the efficiency of which is inversely proportional to the nanocarrier size, under vessel normalization conditions.
Table summarizing the data regarding vascular normalization, including tumor models, molecular targets, targeting agents, and nanoformulations.
| 4T1, E0771 (breast cancer) | VEGFR2 | DC101 Ab | Quantum Dots | ( |
| MCaP0008 (breast adenocarcinoma) | VEGFR2 | DC101 Ab | Quantum Dots-mPEG | ( |
| GL261 (glioblastoma) | VEGFR2, TGF-β1 | DC101, anti-TGFβ1 Abs | Quantum Dots-mPEG | ( |
| H22 (hepatocellular carcinoma) | VEGFR2, integrins, nucleolin | Endostatin | Gold nanoparticles-PEG (AuNPs-PEG) | ( |
| B16-F10 (melanoma) | – | – | Gold nanoparticles-(AuNPs) | ( |
| 4T1 (breast cancer) | VEGFR2 | cediranib | Enzyme responsive-size-changeable gold nanoparticles (AuNPs-A&C) | ( |
| H1975 (non-small cell lung cancer) | EGFR, survivin | Erlotinib, survivin-shRNA | PAMAM dendrimers with anti-EGFR aptamers | ( |
| 4T1 (breast cancer) | Nogo-B receptor (NgBR) | NgBR siRNA | PLGA-PEI-DMMA nanoparticles | ( |
| A549 (lung cancer) | Cyclooxygenase-2 (COX-2) | Celecoxib | Paclitaxel-loaded Micelles | ( |
| U251MG (glioblastoma) | Topoisomerase 1, microtubules, topoisomerase 2 | Irinotecan, vincristine, doxorubicin | liposomes | ( |
| 344SQ (lung cancer), | CXCL-1, IL-8 | miRNA-200 | DOPC and RGD-CH-NP nanoparticles | ( |
| RIP-Tag2 (pancreatic cancer) | TNFR1 and 2 | NGR-TNF (TNF-α with CD13-targeting peptide) | Quantum Dots | ( |
Study where nanoparticles were used, not for the transfer of the targeting agent for vascular normalization, but for anti-cancer or imaging purposes.