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Expression profiling of cell-derived exosomal lncRNAs resistant to concurrent chemoradiotherapy in nasopharyngeal carcinoma / 中华放射肿瘤学杂志
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-993212
Responsible library: WPRO
ABSTRACT

Objective:

To screen the key exosomal long non-coding RNAs (lncRNAs) molecules that cause nasopharyngeal carcinoma cells to develop chemoradiotherapy resistance.

Methods:

In vitro, a model of concurrent chemoradiotherapy for human nasopharyngeal carcinoma cells was constructed, and the continuous shock method of high-dose concurrent chemoradiotherapy was used to induce the establishment of chemoradiotherapy-resistant nasopharyngeal carcinoma cell lines, and its resistance formation was verified. Exosomes produced by chemoradiotherapy-resistant cell lines and respective mother cell lines for nasopharyngeal carcinoma were extracted and identified. Finally, biochip technology was used to detect the differential expression levels of exosomal lncRNAs.

Results:

After 10 repeated treatments of concurrent chemoradiotherapy, CNE-1 CRR and CNE-2 CRR were successfully obtained. Compared with the mother cell lines, CNE-1 CRR and CNE-2 CRR had a tendency to transform from epithelial to interstitial morphology, and the number of cell clones was higher, and the values of average lethal dose (D 0), quasi-threshould dose (D q), survival fraction after 2 Gy irradiation (SF 2) and cell survival rate were higher. Nasopharyngeal carcinoma cells were detected by PCR chip of exosomal lncRNAs. Compared with their respective mother cell lines, 18 lncRNAs in CNE-1 CRR exosomes were significantly up-regulated and 31 lncRNAs were significantly down-regulated, and 15 lncRNAs were significantly up-regulated and 38 lncRNAs were significantly down-regulated in CNE-2 CRR exosomes. CNE-1 CRR also had similar expression profiles to CNE-2 CRR.

Conclusion:

There are significantly up-regulated and down-regulated lncRNAs in the exosomes of CNE-1 CRR and CNE-2 CRR.

Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Radiation Oncology Year: 2023 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Radiation Oncology Year: 2023 Document type: Article
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