2020
DOI: 10.3390/pharmaceutics12100929
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Bioengineered siRNA-Based Nanoplatforms Targeting Molecular Signaling Pathways for the Treatment of Triple Negative Breast Cancer: Preclinical and Clinical Advancements

Abstract: Triple negative breast cancer (TNBC) is one of the most aggressive types of breast cancer. Owing to the absenteeism of hormonal receptors expressed at the cancerous breast cells, hormonal therapies and other medications targeting human epidermal growth factor receptor 2 (HER2) are ineffective in TNBC patients, making traditional chemotherapeutic agents the only current appropriate regimen. Patients’ predisposition to relapse and metastasis, chemotherapeutics’ cytotoxicity and resistance and poor prognosis of T… Show more

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Cited by 25 publications
(19 citation statements)
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References 164 publications
(162 reference statements)
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“…As stromal components, extracellular matrices (ECMs) such as collagen fibers, and high interstitial pressure would restrict the diffusion of nanoparticles in tumor tissues; then, the use of digestive enzymes such as collagenase and hyaluronidase has been investigated to improve nanoparticle delivery and gene transfer efficiency [ 268 , 269 , 270 , 271 ]. For active targeting to tumor, several ligands such as arginine-glycine-aspartate (RGD) peptide [ 272 ], HER-2-targeting peptide [ 273 ] and hyaluronic acid [ 274 ] have been used for nanoparticle delivery, and are promising for delivery of nucleic acid and gene medicines [ 275 , 276 ]. Targeting tumor-associated macrophages (TAMs) in the tumor microenvironment is also a useful strategy to combat tumors [ 277 ].…”
Section: Rational Designmentioning
confidence: 99%
“…As stromal components, extracellular matrices (ECMs) such as collagen fibers, and high interstitial pressure would restrict the diffusion of nanoparticles in tumor tissues; then, the use of digestive enzymes such as collagenase and hyaluronidase has been investigated to improve nanoparticle delivery and gene transfer efficiency [ 268 , 269 , 270 , 271 ]. For active targeting to tumor, several ligands such as arginine-glycine-aspartate (RGD) peptide [ 272 ], HER-2-targeting peptide [ 273 ] and hyaluronic acid [ 274 ] have been used for nanoparticle delivery, and are promising for delivery of nucleic acid and gene medicines [ 275 , 276 ]. Targeting tumor-associated macrophages (TAMs) in the tumor microenvironment is also a useful strategy to combat tumors [ 277 ].…”
Section: Rational Designmentioning
confidence: 99%
“…Clinical application of siRNA-based nanotherapies in treating a wide variety of tumors poses numerous advantages; (1) siRNA nanotherapeutics can selectively and preferentially target any gene within the cancerous cells, especially the undruggable targets [17,18]; (2) they are readily fabricated and modified, in addition to having good safety and efficacy profiles with minimal off-target effects and immunogenicity [19,20]; (3) various siRNA therapeutics exhibited a promising antiproliferative and tumor growth suppression effect in vitro through the stat6 pathway and PLK1 [21,22], suppression of angiogenesis through inhibition of receptors including VEGFs and VEGFR-1 [23,24], or inhibition of tumor invasion and metastasis via chemokines CXCL8 and CXCL11 [25].…”
Section: Introductionmentioning
confidence: 99%
“…RNA interference (RNAi) is an innovative approach based on the delivery of noncoding double-stranded RNA (dsRNA) into cancer cells to trigger a homology-dependent degradation of the targeted messenger RNA (mRNA), leading to a selective and specific gene silencing [ 1 , 2 ]. The RNAi mechanism was first described by Fire and colleagues [ 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…RNA interference (RNAi) is an innovative approach for selective and specific gene silencing and has demonstrated potential for the treatment of various diseases [ 1 , 2 , 3 , 4 , 5 ]. In this pathway, RNA-induced silencing complex (RISC), formed from double-stranded small interfering RNA (siRNA), degrades target mRNA and inhibits protein synthesis [ 6 , 7 ].…”
Section: Introductionmentioning
confidence: 99%