2021 Journal of food biochemistry

Resveratrol inhibited the metastatic behaviors of cisplatin-resistant human oral cancer cells via phosphorylation of ERK/p-38 and suppression of MMP-2/9.

, , , , , , ,

Journal of food biochemistry Vol. 45 (6) : e13666 • Jun 2021

Cisplatin resistance is a major clinical problem in the clinical management of oral squamous cell carcinoma (OSCC) patients. Resveratrol is a natural phytoestrogen with antitumor activities. Whether resveratrol can overcome cisplatin resistance and prevent metastasis in OSCC cells is not known. In this study, we first examined the anti-metastatic capacity of resveratrol and then explored the underlying mechanisms using a cisplatin-resistant human OSCC cell line (CAR). The results demonstrated that at a non-toxic dose range (25 to 75 microM), 24-hr treatment of resveratrol was able to suppress the migration and invasion capacities of CAR cells dose dependently. Interestingly, 50 microM resveratrol treatment could significantly down-regulate the expression of the phosphorylated forms of ERK and p-38, in addition to those of MMP-2 and MMP-9. At the same time, the expression levels of phosphorylated ERK together with those unphosphorylated forms of ERK, p38, and JNK were all insignificantly altered. In conclusion, the signaling cascade for resveratrol's suppression of cisplatin-resistant human oral cancer CAR cells was revealed and summarized. Also the rapid effectiveness in suppressing metastatic behaviors of drug-resistant oral cancer cells of non-toxic resveratrol might extend its application to the drug-resistant oral cancer treatment in the near future. PRACTICAL APPLICATIONS: Based on the evidence we provided in the study, we have proposed a model recording the possible pathway for resveratrol inhibiting the metastasis of cisplatin-resistant oral cancer cells. We suppose this signaling pathway may work in other cancer cell lines, and can be helpful in full understanding of the drug-resistance.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.