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Dual pH/redox-responsive hyperbranched polymeric nanocarriers with TME-trigger size shrinkage and charge reversible ability for amplified chemotherapy of breast cancer

Badparvar, Fahimeh, Marjani, Ahmad Poursattar, Salehi, Roya, Ramezani, Fatemeh·2024·Scientific Reports

Abstract

A novel pH/redox-responsive hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) nanoparticles (NPs) were designed with size shrinkage and charge-reversible potential for targeted delivery of docetaxel (DTX) to MDA-MB-231 cell lines. In the tumor microenvironment (TME), amine protonation induces charge reversal and disulfide bond cleavage under high TME GSH concentration causing size shrinkage, improved deep tumor penetration, and active targeting of the therapeutic agents. These nano drug delivery systems (NDDSs) significantly promoted cancer cell uptake (~ 100% at 0.5 h), facilitating site-specific delivery and deep tumor penetration. The MTT assay revealed significantly higher cytotoxicity ( P value < 0.0001) for DTX-loaded NPs compared to free DTX. Cell cycle analysis revealed G2/M (58.3 ± 2.1%) and S (21.5 ± 1.3%) arrest for DTX-loaded NPs, while free DTX caused G2/M (67.9 ± 1.1%) and sub-G1 (10.3 ± 0.8%) arrest. DTX-loaded NPs induced higher apoptosis ( P value < 0.001) in MDA-MB-231 cells (71.5 ± 2.8%) compared to free DTX (42.3 ± 3.1%). Western blotting and RT-PCR assays confirmed significant up-regulation of protein levels and apoptotic genes by DTX-loaded NPs compared to free DTX. In conclusion, TME-responsive charge reversal and size-shrinkable smart NDDSs designed based on low pH, and high glutathione (GSH), offer more effective site-specific delivery of therapeutic agents to tumors.

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Figure 1 Graphical representation showing the size and charges reversible smart pH/redox dual-stimuli hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) nano-vehicle for promoted breast cancer tumor targeting and dual pH/redox triggered DTX release. Created with BioRender.com.
Figure 1 Graphical representation showing the size and charges reversible smart pH/redox dual-stimuli hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) nano-vehicle for promoted breast cancer tumor targeting and dual pH/redox triggered DTX release. Created with BioRender.com.CC BY · PubMed Central
Figure 2 Synthesis route of acrylate-terminated poly(β-amino ester)s through the Michael-type addition from 3 synthetic steps from Bis(2-hydroxyethyl)disulfide (product of step 1) and 2,2′-dithiodiethanol diacrylate (DSDA) (product of step 2).
Figure 2 Synthesis route of acrylate-terminated poly(β-amino ester)s through the Michael-type addition from 3 synthetic steps from Bis(2-hydroxyethyl)disulfide (product of step 1) and 2,2′-dithiodiethanol diacrylate (DSDA) (product of step 2).CC BY · PubMed Central
Figure 3 Synthesis route of bromine-terminal MeO-PEG from MeO-PEG and alpha-bromoisobutyryl bromide (α-BriBr) as an ATRP macroinitiator (MeO-PEG-Br).
Figure 3 Synthesis route of bromine-terminal MeO-PEG from MeO-PEG and alpha-bromoisobutyryl bromide (α-BriBr) as an ATRP macroinitiator (MeO-PEG-Br).CC BY · PubMed Central
Figure 4 Synthesis route of hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) copolymer through ATRP approach.
Figure 4 Synthesis route of hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) copolymer through ATRP approach.CC BY · PubMed Central
Figure 5 The 1H-NMR spectra of MeO-PEG-β-(NIPAAm-co-PBAE) copolymer.
Figure 5 The 1H-NMR spectra of MeO-PEG-β-(NIPAAm-co-PBAE) copolymer.CC BY · PubMed Central
Figure 6 The SEM images (A) and EDS analysis of hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) copolymeric blank NPs (B).
Figure 6 The SEM images (A) and EDS analysis of hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) copolymeric blank NPs (B).CC BY · PubMed Central
Figure 7 The hydrodynamic size of blank (A), and Drug-loaded (B) MeO-PEG-b-( NIPAAm-co-PBAE) NPs; The hydrodynamic size of Blank NPs after 1 mount incubation in distilled water (C) and PBS buffer (pH = 7.4) (D).
Figure 7 The hydrodynamic size of blank (A), and Drug-loaded (B) MeO-PEG-b-( NIPAAm-co-PBAE) NPs; The hydrodynamic size of Blank NPs after 1 mount incubation in distilled water (C) and PBS buffer (pH = 7.4) (D).CC BY · PubMed Central
Figure 8 In vitro, dual pH/redox triggered DTX release from MeO-PEG-b-(NIPAAm-co-PBAE) NPs at pH = 6.4 with 10 mM GSH (green), pH = 6.4, without GSH (red), pH = 7.4 with 10 µM GSH (black), pH = 7.4 without GSH (orange) (A). pH/redox-responsive size alteration assessment at PBS buffer with a pH of 7.4 without GSH and PBS buffer with 10 Mm GSH and pH of 6.4 at different time intervals (0.5, 3, and 24 h) (B).
Figure 8 In vitro, dual pH/redox triggered DTX release from MeO-PEG-b-(NIPAAm-co-PBAE) NPs at pH = 6.4 with 10 mM GSH (green), pH = 6.4, without GSH (red), pH = 7.4 with 10 µM GSH (black), pH = 7.4 without GSH (orange) (A). pH/redox-responsive size alteration assessment at PBS buffer with a pH of 7.4 without GSH and PBS buffer with 10 Mm GSH and pH of 6.4 at different time intervals (0.5, 3, and 24 h) (B).CC BY · PubMed Central
Figure 9 Flow cytometry diagrams for intracellular uptake indicating quantitatively examine fluorescence intensity at pH = 6.4 (A), and pH = 7.4 (B); And comparison graphs of mean fluorescence intensity (%) of intracellular uptake at pH 7.4 and 6.4 (Pvalue ˂0.0001) (C) of MDA-MB-231 cells after treatment with RhB-labeled DTX-loaded MeO-PEG-b-(NIPAAm-co-PBAE) NPs and, RhB-labeled copolymeric Blank NPs in various time intervals: 0.5, and 3 h.
Figure 9 Flow cytometry diagrams for intracellular uptake indicating quantitatively examine fluorescence intensity at pH = 6.4 (A), and pH = 7.4 (B); And comparison graphs of mean fluorescence intensity (%) of intracellular uptake at pH 7.4 and 6.4 (Pvalue ˂0.0001) (C) of MDA-MB-231 cells after treatment with RhB-labeled DTX-loaded MeO-PEG-b-(NIPAAm-co-PBAE) NPs and, RhB-labeled copolymeric Blank NPs in various time intervals: 0.5, and 3 h.CC BY · PubMed Central
Figure 10 Qualitative image by Cytation 5 cell imaging of MDA-MB-231 cells after treatment with RhB-labeled DTX-loaded MeO-PEG-b-(NIPAAm-co-PBAE) NPs and, RhB-labeled copolymeric NPs in various time intervals: 0.5, and 3 h at TME.
Figure 10 Qualitative image by Cytation 5 cell imaging of MDA-MB-231 cells after treatment with RhB-labeled DTX-loaded MeO-PEG-b-(NIPAAm-co-PBAE) NPs and, RhB-labeled copolymeric NPs in various time intervals: 0.5, and 3 h at TME.CC BY · PubMed Central
Figure 11 The viability of MDA-MB-231 cells incubated with different concentrations of free DTX and DTX-loaded NPs for 48 h was determined by the MTT method. Data are presented as the average ± SD (n = 6) (Pvalue < 0.0001).
Figure 11 The viability of MDA-MB-231 cells incubated with different concentrations of free DTX and DTX-loaded NPs for 48 h was determined by the MTT method. Data are presented as the average ± SD (n = 6) (Pvalue < 0.0001).CC BY · PubMed Central
Figure 12 Cellular interaction for cell cycle analysis of all formulation (DTX-loaded NPs, free DTX, blank NPs, and control cells) with MDA-MB-231 cells, by flow cytometry technique: Histograms of cell cycle distribution (A) and quantitative diagram of the related flow-cytometry diagram's cell population (%) profile in cell cycle phases (Sub G1, G2/M, S, and G0/G1) (B).
Figure 12 Cellular interaction for cell cycle analysis of all formulation (DTX-loaded NPs, free DTX, blank NPs, and control cells) with MDA-MB-231 cells, by flow cytometry technique: Histograms of cell cycle distribution (A) and quantitative diagram of the related flow-cytometry diagram's cell population (%) profile in cell cycle phases (Sub G1, G2/M, S, and G0/G1) (B).CC BY · PubMed Central
Figure 13 Cytogram of cellular apoptosis against MDA-MB-231 cells induced by free DTX and DTX-loaded NPs in their IC50 dose in comparison to the blank hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) copolymeric NPs as positive control and non-treated cells as a negative control. The flow cytometric diagram divided cells into four sections (viable, early apoptotic, late apoptotic, and necrotic) and the percent of counted cells in each area is illustrated on the quadrant charts (Pvalue < 0.001) (A). Quantitative results of apoptotic effects evaluated by Annexin V/FITC assay (B).
Figure 13 Cytogram of cellular apoptosis against MDA-MB-231 cells induced by free DTX and DTX-loaded NPs in their IC50 dose in comparison to the blank hyperbranched MeO-PEG-b-(NIPAAm-co-PBAE) copolymeric NPs as positive control and non-treated cells as a negative control. The flow cytometric diagram divided cells into four sections (viable, early apoptotic, late apoptotic, and necrotic) and the percent of counted cells in each area is illustrated on the quadrant charts (Pvalue < 0.001) (A). Quantitative results of apoptotic effects evaluated by Annexin V/FITC assay (B).CC BY · PubMed Central
Figure 14 Results of apoptotic effect of free DTX and DTX-loaded NPs treated MDA-MB-231 cells assessed by real-time PCR analyses at the gene level. Untreated cells are considered as control. (Pvalue < 0.0001).
Figure 14 Results of apoptotic effect of free DTX and DTX-loaded NPs treated MDA-MB-231 cells assessed by real-time PCR analyses at the gene level. Untreated cells are considered as control. (Pvalue < 0.0001).CC BY · PubMed Central
Figure 15 Western blotting images (A), and western blotting plot of protein state alterations attributed to the control group (protein state = 1) (B) of the MDA-MB-231 cells incubated with free DTX and DTX-loaded NPs with a concentration of IC50 dose. Proteins: Bcl-2, Bax, caspases 9, 7, and 3, cleaved-caspases 9, 7, and 3, and GAPDH as internal control, n = 2.
Figure 15 Western blotting images (A), and western blotting plot of protein state alterations attributed to the control group (protein state = 1) (B) of the MDA-MB-231 cells incubated with free DTX and DTX-loaded NPs with a concentration of IC50 dose. Proteins: Bcl-2, Bax, caspases 9, 7, and 3, cleaved-caspases 9, 7, and 3, and GAPDH as internal control, n = 2.CC BY · PubMed Central

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Research works printed but not linked: 60

  1. Xu, M. & Li, S. Nano-drug delivery system targeting tumor microenvironment: A prospective strategy for melanoma treatment. Cancer Lett. 216397 (2023). · DOI
  2. Cheng, R. & Santos, H. A. Smart nanoparticle-based platforms for regulating tumor microenvironment and cancer immunotherapy. Adv. Healthc. Mater. 12, 2202063 (2023). · DOI
  3. Wong, K. H., Yang, D., Chen, S., He, C. & Chen, M. Development of nanoscale drug delivery systems of dihydroartemisinin for cancer therapy: A review. Asian J. Pharm. Sci. 17, 475–490 (2022). · DOI
  4. Liu, J. et al. Application of nano drug delivery system (NDDS) in cancer therapy: A perspective. Recent Pat. Anticancer Drug Discov. 18, 125–132 (2023). · DOI
  5. Chidambaram, M., Manavalan, R. & Kathiresan, K. Nanotherapeutics to overcome conventional cancer chemotherapy limitations. J. Pharm. Pharm. Sci. 14, 67–77 (2011). · DOI
  6. Zhang, Y., Li, M., Gao, X., Chen, Y. & Liu, T. Nanotechnology in cancer diagnosis: Progress, challenges and opportunities. J. Hematol. Oncol. 12, 1–13 (2019). · DOI · Paper page
  7. Guragain, S., Bastakoti, B. P., Malgras, V., Nakashima, K. & Yamauchi, Y. Multi-stimuli-responsive polymeric materials. Chem. Eur. J. 21, 13164–13174 (2015). · DOI
  8. Cheng, R., Meng, F., Deng, C., Klok, H.-A. & Zhong, Z. Dual and multi-stimuli responsive polymeric nanoparticles for programmed site-specific drug delivery. Biomaterials 34, 3647–3657 (2013). · DOI
  9. Fadeel, B. & Garcia-Bennett, A. E. Better safe than sorry: Understanding the toxicological properties of inorganic nanoparticles manufactured for biomedical applications. Adv. Drug Deliv. Rev. 62, 362–374 (2010). · DOI
  10. Wang, R. et al. Impacts of particle size on the cytotoxicity, cellular internalization, pharmacokinetics and biodistribution of betulinic acid nanosuspensions in combined chemotherapy. Int. J. Pharms. 588, 119799 (2020). · DOI
  11. Ding, L. et al. Surface charge of supramolecular nanosystems for in vivo biodistribution: A MicroSPECT/CT imaging study. Small 16, 2003290 (2020). · DOI
  12. Zhou, Q., Zhang, L., Yang, T. & Wu, H. Stimuli-responsive polymeric micelles for drug delivery and cancer therapy. Int. J. Nanomedicine. 13, 2921 (2018). · DOI
  13. Guo, X., Wang, L., Wei, X. & Zhou, S. Polymer-based drug delivery systems for cancer treatment. J. Polym. Sci. A: Polym. Chem. 54, 3525–3550 (2016). · DOI
  14. Jin, M.-Z. & Jin, W.-L. The updated landscape of tumor microenvironment and drug repurposing. Signal Transduct. Target. Ther. 5, 166 (2020). · DOI · Paper page
  15. Aghaz, F. et al. Codelivery of resveratrol melatonin utilizing pH responsive sericin based nanocarriers inhibits the proliferation of breast cancer cell line at the different pH. Sci. Rep. 13, 11090 (2023). · DOI
  16. Zhang, P., Chen, D., Li, L. & Sun, K. Charge reversal nano-systems for tumor therapy. J. Nanobiotechnology 20, 1–27 (2022). · DOI
  17. Li, Z. et al. Charge-reversal nanomedicines as a smart bullet for deep tumor penetration. Smart Mater. Med. 3, 243–253 (2022). · DOI
  18. Swietach, P., Hulikova, A., Patiar, S., Vaughan-Jones, R. D. & Harris, A. L. Importance of intracellular pH in determining the uptake and efficacy of the weakly basic chemotherapeutic drug, doxorubicin. PLoS One 7, e35949 (2012). · DOI · Paper page
  19. Berrino, E. & Supuran, C. T. Novel approaches for designing drugs that interfere with pH regulation. Expert Opin. Drug Discov. 14, 231–248 (2019). · DOI
  20. Shu, M. et al. Tumor microenvironment triple-responsive nanoparticles enable enhanced tumor penetration and synergetic chemo-photodynamic therapy. Biomaterials 268, 120574 (2021). · DOI
  21. Estrela, J. M., Ortega, A. & Obrador, E. Glutathione in cancer biology and therapy. Crit. Rev. Clin. Lab Sci. 43, 143–181 (2006). · DOI · Paper page
  22. Cheng, R. et al. Glutathione-responsive nano-vehicles as a promising platform for targeted intracellular drug and gene delivery. J. Control Release 152, 2–12 (2011). · DOI
  23. Fu, S., Rempson, C. M., Puche, V., Zhao, B. & Zhang, F. Construction of disulfide containing redox-responsive polymeric nanomedicine. Methods 199, 67–79 (2022). · DOI
  24. Hashizume, H. et al. Openings between defective endothelial cells explain tumor vessel leakiness. Am. J. Pathol. 156, 1363–1380 (2000). · DOI · Paper page
  25. Sousa-Pimenta, M. et al. Chemotherapeutic properties and side-effects associated with the clinical practice of terpene alkaloids: Paclitaxel, docetaxel, and cabazitaxel. Front. Pharmacol. 14, 1157306 (2023). · DOI
  26. Chaurawal, N. & Raza, K. Nano-interventions for the drug delivery of docetaxel to cancer cells. Health Sci. Rev. Oxf. 18, 100101 (2023). · DOI
  27. Moloney, C. et al. Chain-extension in hyperbranched polymers alters tissue distribution and cytotoxicity profiles in orthotopic models of triple negative breast cancers. Biomater. Sci. 11, 6545–6560 (2023). · DOI
  28. Bal-Öztürk, A. et al. Hyperbranched polymer-based nanoparticle drug delivery platform for the nucleus-targeting in cancer therapy. J. Drug Deliv. Sci. Technol. 81, 104195 (2023). · DOI
  29. Indumathy, B. et al. A comprehensive review on processing, development and applications of organofunctional silanes and silane-based hyperbranched polymers. Polymers 15, 2517 (2023). · DOI
  30. Chen, J. & Zhang, Y. Hyperbranched polymers: Recent advances in photodynamic therapy against cancer. Pharmaceutics 15, 2222 (2023). · DOI
  31. Matyjaszewski, K. Atom transfer radical polymerization (ATRP): Current status and future perspectives. Macromolecules 45, 4015–4039 (2012). · DOI
  32. Taghipour, Y. D. et al. Dual targeting Salinomycin-loaded smart nanomicelles for enhanced accumulation and therapeutic outcome in breast cancer. Int. J. Pharm. 642, 123095 (2023). · DOI
  33. Chu, B. et al. Synthesis, characterization and drug loading property of Monomethoxy-Poly (ethylene glycol)-Poly (ε-caprolactone)-Poly (D, L-lactide)(MPEG-PCLA) copolymers. Sci. Rep. 6, 34069 (2016). · DOI
  34. Wagner, J. G. Interpretation of percent dissolved-time plots derived from in vitro testing of conventional tablets and capsules. J. Pharm. Sci. 58, 1253–1257 (1969). · DOI
  35. Sabzi, A. et al. Targeted co-delivery of curcumin and doxorubicin by citric acid functionalized Poly (ε-caprolactone) based micelle in MDA-MB-231 cell. Colloids Surf. B: Biointerfaces 194, 111225 (2020). · DOI
  36. Sadr, S. H., Davaran, S., Alizadeh, E., Salehi, R. & Ramazani, A. PLA-based magnetic nanoparticles armed with thermo/pH responsive polymers for combination cancer chemotherapy. J. Drug Deliv. Sci. Technol. 45, 240–254 (2018). · DOI
  37. Honary, S. & Zahir, F. Effect of zeta potential on the properties of nano-drug delivery systems-a review (Part 2). Trop. J. Pharm. Res. 12, 265–273 (2013).
  38. Subhan, M. A., Yalamarty, S. S. K., Filipczak, N., Parveen, F. & Torchilin, V. P. Recent advances in tumor targeting via EPR effect for cancer treatment. J. Pers. Med. 11, 571 (2021). · DOI · Paper page
  39. Kim, J. et al. Verteporfin-loaded poly (ethylene glycol)-poly (beta-amino ester)-poly (ethylene glycol) triblock micelles for cancer therapy. Biomacromolecules 19, 3361–3370 (2018). · DOI
  40. Ni, N., Wang, W., Sun, Y., Sun, X. & Leong, D. T. Inducible endothelial leakiness in nanotherapeutic applications. Biomaterials 287, 121640 (2022). · DOI
  41. Kim, J., Wilson, D. R., Zamboni, C. G. & Green, J. J. Targeted polymeric nanoparticles for cancer gene therapy. J. Drug Target. 23, 627–641 (2015). · DOI
  42. Li, J. et al. A reduction and pH dual-sensitive polymeric vector for long-circulating and tumor-targeted siRNA delivery. Adv. Mater. 26, 8217–8224 (2014). · DOI
  43. Sun, M. et al. Arginine-modified nanostructured lipid carriers with charge-reversal and pH-sensitive membranolytic properties for anticancer drug delivery. Adv. Healthc. Mater. 6, 1600693 (2017). · DOI
  44. He, C., Hu, Y., Yin, L., Tang, C. & Yin, C. Effects of particle size and surface charge on cellular uptake and biodistribution of polymeric nanoparticles. Biomaterials 31, 3657–3666 (2010). · DOI · Paper page
  45. Zhang, S. et al. pH-and redox-responsive nanoparticles composed of charge-reversible pullulan-based shells and disulfide-containing poly (ss-amino ester) cores for co-delivery of a gene and chemotherapeutic agent. Nanotechnology 29, 325101 (2018). · DOI
  46. Li, F. et al. Co-delivery of VEGF siRNA and etoposide for enhanced anti-angiogenesis and anti-proliferation effect via multi-functional nanoparticles for orthotopic non-small cell lung cancer treatment. Theranostics 9, 5886 (2019). · DOI
  47. Zhao, X. et al. Polymerization-induced self-assembly to produce prodrug nanoparticles with reduction-responsive camptothecin release and pH-responsive charge-reversible property. Macromol. Rapid Commun. 41, 2000260 (2020). · DOI
  48. Lv, Y. et al. Visual validation of the measurement of entrapment efficiency of drug nanocarriers. Int. J. Pharm. 547, 395–403 (2018). · DOI
  49. Zhuang, W. et al. Redox and pH dual-responsive polymeric micelles with aggregation-induced emission feature for cellular imaging and chemotherapy. ACS Appl. Mater. Interfaces 10, 18489–18498 (2018). · DOI
  50. Francia, V. et al. Corona composition can affect the mechanisms cells use to internalize nanoparticles. ACS Nano 13, 11107–11121 (2019). · DOI
  51. Chen, L. et al. Tumor-acidity activated surface charge conversion of two-photon fluorescent nanoprobe for enhanced cellular uptake and targeted imaging of intracellular hydrogen peroxide. Chem. Sci. 10, 9351–9357 (2019). · DOI
  52. Arora, S. et al. Translocation and toxicity of docetaxel multi-walled carbon nanotube conjugates in mammalian breast cancer cells. J. Biomed. Nanotechnol. 10, 3601–3609 (2014). · DOI
  53. Xiao, Y. et al. Multifunctional unimolecular micelles for cancer-targeted drug delivery and positron emission tomography imaging. Biomaterials 33, 3071–3082 (2012). · DOI
  54. Ghassami, E., Varshosaz, J., Mirian, M. & Jahanian-Najafabadi, A. HER-2 aptamer-targeted Ecoflex® nanoparticles loaded with docetaxel promote breast cancer cells apoptosis and anti-metastatic effect. IET Nanobiotechnol. 13, 428–434 (2019). · DOI
  55. Chen, Z. et al. Aptamer-mediated delivery of docetaxel to prostate cancer through polymeric nanoparticles for enhancement of antitumor efficacy. Eur. J. Pharm. Biopharm. 107, 130–141 (2016). · DOI
  56. Ramasamy, T. et al. pH sensitive polyelectrolyte complex micelles for highly effective combination chemotherapy. J. Mater. Chem. B. 2, 6324–6333 (2014). · DOI
  57. Zhao, S. et al. pH-sensitive docetaxel-loaded d-α-tocopheryl polyethylene glycol succinate–poly (β-amino ester) copolymer nanoparticles for overcoming multidrug resistance. Biomacromolecules 14, 2636–2646 (2013). · DOI
  58. Zhu, S. et al. Synergistic antitumor activities of docetaxel and octreotide associated with apoptotic-upregulation in castration-resistant prostate cancer. PLoS One 9, e91817 (2014). · DOI
  59. Safi, A., Heidarian, E. & Ahmadi, R. Quercetin synergistically enhances the anticancer efficacy of docetaxel through induction of apoptosis and modulation of PI3K/AKT, MAPK/ERK, and JAK/STAT3 signaling pathways in MDA-MB-231 breast cancer cell line. Int. J. Mol. Cell. Med. 10, 11 (2021).
  60. Dey, G., Bharti, R., Das, A. K., Sen, R. & Mandal, M. Resensitization of Akt induced docetaxel resistance in breast cancer by ‘Iturin A’a lipopeptide molecule from marine bacteria Bacillus megaterium. Sci. rep. 7, 1–11 (2017). · DOI

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Authors
Badparvar, F., Marjani, A. P., Salehi, R., & Ramezani, F.
Venue
Scientific Reports
Published
2024-04-12
Volume
14
Issue
1
ISSN
2045-2322
Cited by
48
References
0
Language
en

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