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Enregistrement W2100285669 · doi:10.18632/oncotarget.1757

Spherical nucleic acids for precision medicine

2013· editorial· en· W2100285669 sur OpenAlexaff
Chad A. Mirkin, Alexander H. Stegh

Notice bibliographique

RevueOncotarget · 2013
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAdvanced biosensing and bioanalysis techniques
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésRNA interferenceNucleic acidSmall interfering RNAOligonucleotideComputational biologyNucleaseCancerTransfectionBiologyRNADNACancer researchGeneGenetics

Résumé

récupéré en direct d'OpenAlex

With the advent of functional cancer genomics, precision medicine has begun to enter clinical practice. Therapeutic regimens are informed by the tumor's genotype to specifically target critical genetic aberrations that are the driving forces of disease progression. While several targeted small molecule inhibitors and biotherapeutic antibodies have been FDA-approved, in particular those targeting a cancer cell's kinome, it has become apparent that the majority of cancer genes represent unprecedented, non-enzymatic targets with unknown modi operandi that cooperate to drive cancer progression and therapy resistance. How can multiple, undruggable, and uncharacterized genes be therapeutically targeted? RNA interference (RNAi) comes to mind, but due to difficulties in delivering small interfering (si) or small hairpin (sh)RNAs robustly and safely to tumor sites, the delivery of oligonucleotide payloads represents a significant challenge and an unmet clinical need. Nanotechnology continues to provide fundamentally different approaches to the treatment of genetic disease. In particular, spherical nucleic acids (SNAs), gold-based nanoconjugates functionalized with densely packed, highly oriented antisense DNA or siRNA oligonucleotides represent one of the most prominent and promising nanoscale gene regulation platforms [1]. Specifically, these nanoconjugates typically are comprised of a 13 nm gold nanoparticle core that is decorated with a corona of thiolated double-stranded RNAs (Figure ​(Figure1).1). SNAs show robust cellular uptake via scavenger-receptor-dependent endocytosis without the use of toxic, auxiliary transfection agents or viral delivery platforms [1] and exhibit extraordinary stability in physiological environments and robust resistance to nuclease degradation [1, 2]. Figure 1 Spherical nucleic acids nanoconjugates To evaluate SNAs as a platform for biotherapeutic gene silencing in cancer, we synthesized SNAs targeted to the oncogene Bcl2-Like12 (Bcl2L12), which is over-expressed in several cancer types, most prominently in Glioblastoma multiforme (GBM), the most aggressive and prevalent manifestation of malignant brain tumors. Bcl2L12 is a an atypical member of the Bcl-2 protein family, characterized by proline-rich and a C-terminal 14 amino acid sequence with homology to the BH (Bcl-2 Homology) 2 domain found in several members of the Bcl-2 family [3, 4]. Bcl2L12 is overepxressed in >90% of human primary GBM specimens and exhibits low or undetectable levels in cells of glial origin in the normal brain surrounding tumor tissue or in low-grade astrocytoma [4]. Analysis of 343 glioma patients in the Repository of Molecular Brain Neoplasia Data (REMBRANDT) identified Bcl2L12 as a potential prognostic factor, as GBM patients with high-level overexpression of Bcl2L12 mRNA have shorter progression-free survival compared to patients with low expression or underexpression of Bcl2L12 (p<0.001). On the cellular level, enforced expression of Bcl2L12 confers marked apoptosis resistance, induces malignant transformation, and promotes high-grade glioma progression in vivo [4]. Mechanistically, Bcl2L12 inhibits apoptosis by neutralizing effector caspases [4]. Bcl2L12 physically interacts with caspase-7, blocks proteolytical processing by upstream caspases, and induces transcriptional upregulation of the small heat shock protein αB-crystallin, which directly binds to and inhibits caspase-3. In the cell nucleus, Bcl2L12 interacts with the p53 tumor suppressor. Consequently, Bcl2L12 expression antagonizes replicative senescence without concomitant loss of p53 or p19Arf, blocks p53-dependent apoptosis, impedes the capacity of p53 to bind to target gene promoters and to transcriptionally induce target mRNA expression, e.g. p21 [5]. Correspondingly, copy number and mRNA profiles obtained from The Cancer Genome Atlas (TCGA), together with protein analyses of human GBM specimens, showed significantly lower Bcl2L12 expression in the setting of genetic p53 pathway inactivation [5]. Thus, the multi-functional Bcl2L12 protein is an important oncoprotein and prognostication factor in GBM. To neutralize Bcl2L12 expression in GBM cells and tumors, we synthesized SNAs targeted to Bcl2L12 (siL12-SNAs) [6]. We identified conjugates that were capable of reducing Bcl2L12 protein abundance by 60-95% in patient-derived tumor neurospheres (TNS) and transformed glioma cells. As shown with Bcl2L12-targeting siRNA and shRNAs [4, 5, 7-9], SNA-mediated knockdown of Bcl2L12 resulted in enhanced effector caspase and p53 activation, confirming the functionality of SNA-mediated knockdown of Bcl2L12. Using 5'-RNA-ligand-mediated-Rapid Amplification of cDNA Ends (RACE), we positively identified the mRNA cleavage product that resulted from siL12-SNA-triggered, RNA-induced silencing complex (RISC)-mediated RNAi. Building on robust cellular uptake and knockdown triggered by SNAs, can we safely and effectively deliver SNAs to intracranial tumor sites? In vivo Imaging System analysis of mice intravenously injected with fluorochrome-tagged SNAs revealed that SNAs cross the blood-brain and blood-tumor barriers, and preferentially accumulated in intracerebral glioma elements [6]. Selective intratumoral accumulation is likely due to the Enhanced Permeability and Retention effect, i.e., the increased accumulation of nanomaterials in tumors due to abnormal form and architecture of tumor blood vessels. Biodistribution analysis revealed that up to 1% of the total amount of SNAs injected was found within the tumor, with the majority of SNAs accumulating in the liver and spleen [6]. Accumulation and pervasive dissemination into extravascular tumor parenchyma translated into robust intratumoral protein knockdown, increased intratumoral apoptosis, and impaired tumorigenicity as measured by reduced tumor burden. In the absence of systemic toxicity, siL12-SNAs prolonged survival of TNS-derived xenogeneic mice [6]. Thus, SNAs represent a powerful platform for systemic RNAi-mediated biotherapeutic gene silencing for the treatment of GBM. The presence of gold and the ability to co-functionalize nucleic acids with imaging agents, e.g., Gadolinium, allows for the determination of the intratumoral concentrations of SNAs by mass spectrometry and the tracking of SNAs via a variety of imaging techniques, respectively. Bcl2L12 is a universal factor that regulates apoptosis in response to a broad spectrum of chemo-and targeted therapies. To further increase anti-GBM activity of Bcl2L12-targeting SNAs, it will be instrumental to develop combinatorial treatment regimes, particularly those inhibiting critical driving oncogenes such as (receptor) tyrosine kinases and downstream PI3K-Akt and Ras-MAPK signaling axes. Upon evaluation of safety in non-human primates, clinical trials in humans aim to determine whether SNAs targeted to Bcl2L12 can cross the blood-brain barrier, accumulate in and disseminate throughout tumors, and trigger robust knockdown of Bcl2L12. Finally, we envision utilizing SNAs as a therapeutic modality for other malignancies that are characterized by overexpression of Bcl2L12, such as skin and breast carcinomas, and leveraging the ability of SNAs to cross the blood-brain barrier for the treatment of other central nervous system diseases.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,078
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,300
Écart entre enseignants0,292 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2013
Routes d'admission1
Résumé présentoui

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