Influence of Polydatin on the Tumor Microenvironment In Vitro: Studies with a Colon Cancer Cell Model.
Alex De GregorioEwa Krystyna KrasnowskaManuela ZonfrilloGiampietro RavagnanValentina BordignonEnzo BonmassarMaria Pia FuggettaPublished in: International journal of molecular sciences (2022)
The tumor microenvironment of colon carcinoma, the site at which tumor cells and the host immune system interact, is influenced by signals from tumor cells, immunocompetent cells, and bacterial components, including LPS. A large amount of LPS is available in the colon, and this could promote inflammation and metastasis by enhancing tumor cell adhesion to the endothelium. Polydatin (PD), the 3-β-D-glucoside of trans-resveratrol, is a polyphenol with anti-cancer, anti-inflammatory, and immunoregulatory effects. This study was designed to explore whether PD is able to produce antiproliferative effects on three colon cancer lines, to reduce the expression of adhesion molecules that are upregulated by LPS on endothelial cells, and to decrease the proinflammatory cytokines released in culture supernatants. Actually, we investigated the effects of PD on tumor growth in a coculture model with human mononuclear cells (MNCs) that mimics, at least in part, an in vitro tumor microenvironment. The results showed that PD alone or in combination with MNC exerts antiproliferative and proapoptotic effects on cancer cells, inhibits the production of the immunosuppressive cytokine IL-10 and of the proinflammatory cytokines upregulated by LPS, and reduces E-selectin and VCAM-1 on endothelial cells. These data provide preclinical support to the hypothesis that PD could be of potential benefit as a therapeutic adjuvant in colon cancer treatment and prevention.
Keyphrases
- endothelial cells
- anti inflammatory
- cell adhesion
- inflammatory response
- induced apoptosis
- cell cycle arrest
- oxidative stress
- high glucose
- poor prognosis
- nitric oxide
- cell death
- signaling pathway
- endoplasmic reticulum stress
- mesenchymal stem cells
- cell proliferation
- vascular endothelial growth factor
- long non coding rna
- deep learning
- electronic health record
- binding protein
- machine learning
- climate change
- induced pluripotent stem cells
- atomic force microscopy