The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Exosomes secreted under hypoxia enhance invasiveness and stemness of prostate cancer cells by targeting adherens junction molecules: HYPOXIC-EXOSOMES ROLE IN PCA AGGRESSIVENESS
Open accessAbstract
Hypoxic conditions in prostate cancer (PCA) are associated with poor prognosis; however, precise mechanism/s through which hypoxia promotes malignant phenotype remains unclear. Here, we analyzed the role of exosomes from hypoxic PCA cells in enhancing the invasiveness and stemness of naïve PCA cells, as well as in promoting cancer-associated fibroblast (CAF) phenotype in prostate stromal cells (PrSC). Human PCA LNCaP and PC3 cells were exposed to hypoxic (1% O2 ) or normoxic (21% O2 ) conditions, and exosomes secreted under hypoxic (Exo(Hypoxic) ) and normoxic (Exo(Normoxic) ) conditions were isolated from conditioned media. Nanoparticle tracking analysis revealed that Exo(Hypoxic) have smaller average size as compared to Exo(Normoxic) . Immunoblotting results showed a higher level of tetraspanins (CD63 and CD81), heat shock proteins (HSP90 and HSP70), and Annexin II in Exo(Hypoxic) compared to Exo(Normoxic) . Co-culturing with Exo(Hypoxic) increased the invasiveness and motility of naïve LNCaP and PC3 cells, respectively. Exo(Hypoxic) also promoted prostasphere formation by both LNCaP and PC3 cells, and enhanced α-SMA (a CAF biomarker) expression in PrSC. Compared to Exo(Normoxic) , Exo(Hypoxic) showed higher metalloproteinases activity and increased level of diverse signaling molecules (TGF-β2, TNF1α, IL6, TSG101, Akt, ILK1, and β-catenin). Furthermore, proteome analysis revealed a higher number of proteins in Exo(Hypoxic) (160 proteins) compared to Exo(Normoxic) (62 proteins), primarily associated with the remodeling of epithelial adherens junction pathway. Importantly, Exo(Hypoxic) targeted the expression of adherens junction proteins in naïve PC3 cells. These findings suggest that Exo(Hypoxic) are loaded with unique proteins that could enhance invasiveness, stemness, and induce microenvironment changes; thereby, promoting PCA aggressiveness.
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Cites
Transitions between epithelial and mesenchymal states: acquisition of malignant and stem cell traits
Polyak, K., & Weinberg, R. A. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2620 · Cited by 3,302
Erler, J. T., Bennewith, K. L., Cox, T. R., Lang, G., Bird, D., Koong, A., Le, Q.-T., & Giaccia, A. J. (2009) · Cancer Cell · doi:10.1016/j.ccr.2008.11.012 · Cited by 1,231
Hypoxic enhancement of exosome release by breast cancer cells
King, H. W., Michael, M. Z., & Gleadle, J. M. (2012) · BMC Cancer · doi:10.1186/1471-2407-12-421 · Cited by 1,045
Giannoni, E., Bianchini, F., Masieri, L., Serni, S., Torre, E., Calorini, L., & Chiarugi, P. (2010) · Cancer Research · doi:10.1158/0008-5472.can-10-0785 · Cited by 596
Hypoxia-inducible factor 1 is a master regulator of breast cancer metastatic niche formation
Wong, C. C.-L., Gilkes, D. M., Zhang, H., Chen, J., Wei, H., Chaturvedi, P., Fraley, S. I., Wong, C.-M., Khoo, U.-S., Ng, I. O.-L., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113483108 · Cited by 437
The pre-metastatic niche: finding common ground
Sceneay, J., Smyth, M. J., & Möller, A. (2013) · Cancer and Metastasis Reviews · doi:10.1007/s10555-013-9420-1 · Cited by 422
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Bussard, K. M., Mutkus, L., Stumpf, K., Gomez-Manzano, C., & Marini, F. C. (2016) · Breast Cancer Research · doi:10.1186/s13058-016-0740-2 · Cited by 746
Johnsen, K. B., Gudbergsson, J. M., Skov, M. N., Pilgaard, L., Moos, T., & Duroux, M. (2014) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2014.04.005 · Cited by 704
Syn, N., Wang, L., Sethi, G., Thiery, J.-P., & Goh, B.-C. (2016) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2016.04.006 · Cited by 478
Xue, M., Chen, W., Xiang, A., Wang, R., Chen, H., Pan, J., Pang, H., An, H., Wang, X., Hou, H., et al. (2017) · Molecular Cancer · doi:10.1186/s12943-017-0714-8 · Cited by 359
Metadata
- Authors
- Ramteke, A., Ting, H., Agarwal, C., Mateen, S., Somasagara, R., Hussain, A., Graner, M., Frederick, B., Agarwal, R., & Deep, G.
- Venue
- Molecular Carcinogenesis
- Publisher
- Wiley
- Published
- 2013-12-17
- Volume
- 54
- Issue
- 7
- Pages
- 554-565
- ISSN
- 0899-1987 (ISSN-L)
- OpenAlex
- W2113851421
- Cited by
- 385
- References
- 6
- FWCI
- 6.86
- Type
- journal article
- Language
- en
- Open access
- green
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