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GPC 1 exosome and its regulatory mi RNA s are specific markers for the detection and target therapy of colorectal cancer
Open accessAbstract
Colorectal cancer (CRC) is the second leading cause of cancer‐related deaths worldwide. However, a biomarker for a sensitive and simple diagnostic test and highly effective target therapy of CRC is still clinically unavailable. This study is to investigate the evidence and significance of plasma GPC 1 positive exosomes as a biomarker of CRC. Results showed that GPC 1+ exosomes were successfully isolated from tissues and plasma. The percentage of GPC 1+ exosomes and the GPC 1 protein expression in exosomes from tumour tissues and plasma of CRC patients before surgical treatment was significantly elevated compared to that in the peritumoural tissues and the plasma of healthy controls. miR‐96‐5p and miR‐149 expression in tumour tissues and plasma of CRC patients as well as in the GPC 1+ exosomes from CRC patients were significantly decreased compared to that in the peritumoural tissues and the plasma of healthy controls. Two months after surgical treatment, levels of all tested markers significantly normalized. Overexpression of miR‐96‐5p and miR‐149 significantly decreased GPC 1 expression in HT‐29 and HCT‐116 cells, xenograft tumours, plasma in mice bearing HT‐29 and HCT‐116 tumours, and the secretion of GPC 1+ exosomes from the HT‐29 and HCT‐116 cells and xenograft tumours. Overexpression of miR‐96‐5p and miR‐149 significantly decreased cell viability and increased cell apoptosis in HT‐29 and HCT‐116 cells, and inhibited the growth of xenograft HT‐29 and HCT‐116 tumours. In conclusion, the increased plasma GPC 1+ exosomes and reduced plasma miR‐96‐5p and miR‐149 expression are specific markers for the diagnosis of CRC and targets for the therapy of CRC.
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Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
Melo, S. A., Luecke, L. B., Kahlert, C., Fernandez, A. F., Gammon, S. T., Kaye, J., LeBleu, V. S., Mittendorf, E. A., Weitz, J., Rahbari, N., et al. (2015) · Nature · doi:10.1038/nature14581 · Cited by 2,880
Zhang, X., Kon, T., Wang, H., Li, F., Huang, Q., Rabbani, Z. N., Kirkpatrick, J. P., Vujaskovic, Z., Dewhirst, M. W., & Li, C.-Y. (2004) · Cancer Research · doi:10.1158/0008-5472.can-03-2301 · Cited by 120
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Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
Application of exosomes as liquid biopsy in clinical diagnosis
Zhou, B., Xu, K., Zheng, X., Chen, T., Wang, J., Song, Y., Shao, Y., & Zheng, S. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00258-9 · Cited by 685
Single-Exosome-Counting Immunoassays for Cancer Diagnostics
Liu, C., Xu, X., Li, B., Situ, B., Pan, W., Hu, Y., An, T., Yao, S., & Zheng, L. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b01184 · Cited by 406
Proteoglycan Chemical Diversity Drives Multifunctional Cell Regulation and Therapeutics
Karamanos, N. K., Piperigkou, Z., Theocharis, A. D., Watanabe, H., Franchi, M., Baud, S., Brézillon, S., Götte, M., Passi, A., Vigetti, D., et al. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00354 · Cited by 367
Tumor Microenvironment: Extracellular Matrix Alterations Influence Tumor Progression
Brassart-Pasco, S., Brézillon, S., Brassart, B., Ramont, L., Oudart, J.-B., & Monboisse, J. C. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00397 · Cited by 335
Metadata
- Authors
- Li, J., Chen, Y., Guo, X., Zhou, L., Jia, Z., Peng, Z., Tang, Y., Liu, W., Zhu, B., Wang, L., & Ren, C.
- Venue
- Journal of Cellular and Molecular Medicine
- Publisher
- Wiley
- Published
- 2017-02-24
- Volume
- 21
- Issue
- 5
- Pages
- 838-847
- ISSN
- 1582-1838 (ISSN-L)
- 1582-4934
- OpenAlex
- W2591074784
- Cited by
- 192
- References
- 2
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- gold
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- Li, J., Chen, Y., Guo, X., Zhou, L., Jia, Z., Peng, Z., Tang, Y., Liu, W., Zhu, B., Wang, L., & Ren, C. (2017). GPC 1 exosome and its regulatory mi RNA s are specific markers for the detection and target therapy of colorectal cancer. Journal of Cellular and Molecular Medicine. https://doi.org/10.1111/jcmm.12941
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