| Literature DB >> 34488783 |
Óscar Estupiñán1,2,3, Enrique Niza4,5, Iván Bravo4,5, Verónica Rey1,2, Juan Tornín1,2,6,7, Borja Gallego1, Pilar Clemente-Casares5,8, Francisco Moris9, Alberto Ocaña3,10, Verónica Blanco-Lorenzo1,11, Mar Rodríguez-Santamaría1, Aitana Vallina-Álvarez2,11, M Victoria González1,2,3,12, Aida Rodríguez1, Daniel Hermida-Merino13, Carlos Alonso-Moreno14,15, René Rodríguez16,17,18.
Abstract
BACKGROUND: Sarcomas comprise a group of aggressive malignancies with very little treatment options beyond standard chemotherapy. Reposition of approved drugs represents an attractive approach to identify effective therapeutic compounds. One example is mithramycin (MTM), a natural antibiotic which has demonstrated a strong antitumour activity in several tumour types, including sarcomas. However, its widespread use in the clinic was limited by its poor toxicity profile.Entities:
Keywords: Cancer stem cells; Chondrosarcoma; Hydrogels; Mithramycin; Polylactide; Polymeric nanoparticles; Sarcoma; Small unilamellar vesicles liposomes; Soft tissue sarcoma
Mesh:
Substances:
Year: 2021 PMID: 34488783 PMCID: PMC8419920 DOI: 10.1186/s12951-021-01008-x
Source DB: PubMed Journal: J Nanobiotechnology ISSN: 1477-3155 Impact factor: 10.435
Fig. 1Formulation and morphology of MTM-NPs, MTM-LIP and MTM-HG. A Schematic formulation all nanodevices. B Image of MTM-HG. C SEM image of MTM-NPs (scale bar = 1 μm). D TEM image of MTM-NPs (scale bar = 100 nm). E SEM image of MTM-LIP (scale bar = 1 μm). F TEM image of MTM-LIP (scale bar = 100 nm)
Characterization of MTM-loaded nanodevices
| Formulation | RH, (nm) | PDI | Z-Potential (mV) | EE% | LE% |
|---|---|---|---|---|---|
| MTM-NPs | 158.9 ± 0.9 | 0.16 ± 0.1 | −31.9 ± 0.9 | 22.7 ± 2.5 | 3.1 ± 1.7 |
| MTM-LIP | 81.1 ± 0.2 | 0.08 ± 0.1 | −27.6 ± 0.9 | 92.49 ± 1.5 | 35 ± 0.4 |
| NPs | 75.5 ± 0.5 | 0.1 ± 0.1 | −24.5 ± 0.5 | – | – |
| LIP | 86.9 ± 0.8 | 0.1 ± 0.1 | −17.1 ± 1.7 | – | – |
Hydrodynamic radius (RH), polydispersity index (PdI), Z-potential, encapsulation efficiency (EE%), and loading efficiency (LE%) of the formulations. Errors are 2σ
Fig. 2Storage stability of MTM-loaded nanodevices. A–B DLS analysis showing the stability of MTM-LIP (A) and MTM-NPs (B) nanoplatforms in PBS (pH 7.4). Data are expressed as mean ± SEM from at least three independent experiments
Fig. 3In vitro release profiles. Release kinetics MTM-HG (A), MTM-LIP (B) and MTM-NPs (C) in PBS (pH 7.4) at 37 ºC
Fig. 4Antiproliferative effects induced by free and nanocarrier delivered MTM in sarcoma. A–B Cell viability (WST1 assay) measured after the treatment of T-5 H-FC#1 (A) and T-CDS17#4 (B) cells with increasing concentrations of free MTM or MTM loaded in polymeric nanoparticles (MTM-NPs), liposomes (MTM-LIP) and hydrogels (MTM-HG) for 72 h. IC50 values for each condition are shown. C–F Colony formation unit (CFU) assays in of T-5 H-FC#1 (C–D) and T-CDS17#4 (E–F) cells treated with increasing concentrations of the indicated MTM formulations for 24 h and left to form CFUs for 10 days. Summary graphics (C and E) and representative pictures of a colony formation assay (D and F) for each cell type are shown. Error bars represent the standard deviation of at least three independent experiments
Fig. 5Effect of free and nanocarrier delivered MTM on cell invasion. A–B 3D spheroid invasion assays in T-5 H-FC#1 cells treated for 24 h with either DMSO (vehicle) or the indicated concentrations of the different MTM formulations. Representative images of spheroids at initial (t = 0) and final time (t = 24 h) (A) for the different treatments and the quantification of the invasive area at the indicated times (B) are displayed. Scale bars = 200 m. Data (mean and standard deviation) are calculated from at least 6 spheroids per condition and time point and expressed relative to DMSO-treated cells
Fig. 6Effect of free and nanocarrier delivered MTM on CSC subpopulations. A–B CSC-enriched tumourspheres of T-5 H-FC#1 cells were treated with increased concentrations of the indicated MTM formulations for 72 h. Treatments with an amount of empty nanoparticles corresponding to 10 µM (Ce) were also included. Representative images of the spheres cultures (A) and the quantification of the spheres (represented as % of control) (B) remaining at the end of experiment are shown. Scale bars = 250 μm. Error bars represent the standard deviation of at least three independent experiments. C–E Analysis of the percentage of cells presenting transcriptional activity of the pluripotency factors SOX2 and OCT4 (SORE6 activity) after the treatment with free ree MTM, MTM-NPs, MTM-LIP or MTM-HG. C–D Representative flow cytometry analysis of the SORE6 + population in untreated T5H-O-minCMV-GFP (gating control) (C) and in T5H-O-SORE6-GFP cells treated for with 20 nM MTM for the indicated times (D). C Graph showing the mean and standard deviation of three independent experiments
Fig. 7Transcriptome analysis of cells treated with free and nanocarrier delivered MTM. RNA seq analysis of T-5 H-FC#1 cells treated in triplicate with either DMSO (control), 25 nM free MTM (M_F) or 25 nM MTM-NPs (M_NP) for 24 h. A Principal component analysis of all samples. B–D Volcano plots showing those genes significantly up-regulated and downregulated (fold change ≤-2 or ≥ 2 and padj < 0.01; red dots) when comparing M_NP vs. M_F (B), M_F vs. control (C) and M_NP vs. control (D). Selected genes displaying highly significant p values and/or high fold change modulation are indicated
Fig. 8Signaling pathways altered by the treatment with free and nanocarrier delivered MTM. RNAseq data were used to perform gene ontology analyses. A–B KEGG pathway analysis showing those signaling routes significantly altered (enrichment score (ES) ≤-0.5 or ≥ 0.5 and padj < 0.01; blue circles) when comparing M_F vs. control (A) and M_NP vs. control (B). Circle diameter for each pathway reflect the number of genes involved in the pathway (gene count) showing altered expression. Information for relevant upregulated (purple text) of downregulated (green text) pathways is displayed. C GSEA analysis of selected signaling pathways in M_F vs. control (left) and M_NP vs. control (right) comparisons. D Fold change expression (expressed as Log2-FC) and padj values obtained in the indicated comparisons for a panel genes known to be regulated by SP1. (* Several cadherins have been described to be targets of SP1, although CDH4 has not been described yet as a SP1-regulated gene)
Fig. 9Inhibition of SP1 signaling by free and nanocarrier delivered MTM. A Western blotting analyses of SP1 and several SP1 downstream targets in T-5 H-FC#1 cells treated with 0.1 µM free MTA or MTA-loaded nanoparticles for the indicated times. A control of a 48 h-treatment with empty NPs (Ce) for each formulation is included. B–C Western blotting analyses of SP1-related factors in T-5 H-FC#1 (B) and T-CDS-17#4 cells (C) treated with the indicated concentrations of the different MTM formulations for 48 h. β-Actin levels were used as loading controls
Fig. 10In vivo effect of free MTM and MTM-LIP. T-5 H-FC#1 established xenografts were randomly assigned to five different groups (n = 5 per group) and treated intravenous with vehicle (PBS, control), free MTM at 1 or 2 mg/kg or MTM-LIP at 1 or 2 mg/KG every 3–4 days (twice a week). A Curves representing the mean relative tumour volume of T-5 H-FC#1 xenografts during the treatments. Drug efficacy expressed as the percentage of TGI is indicated. B Distribution of tumour volumes at the end of the experiment (day 20 after the start of the treatment). C Change in the body weights of mice during the treatments. D H&E staining of formalin-fixed paraffin embedded livers extracted at the experimental end-point. Areas presenting microvesicular steatosis (S), necrotic cells (yellow arrows) and mitosis (grey arrows) are indicated. Scale bars = 30 μm. Error bars represent the SEM and asterisks indicate statistically significant differences between groups in one-way ANOVA Turkey’s tests (*:p < 0.05; **:p < 0.01; ***:p < 0.001; ****:p < 0.001)