As a kind of tumor commonly seen, no effective treatment is available for esophageal squamous cell carcinoma (ESCC). Therefore, seeking a new treatment is urgent. Demethylzeylasteral (T-96) isolated from Tripterygium wilfordii root bark embraces outstanding good antitumor activity. However, as for the mechanism of T-96 work on ESCC cells, it is rarely reported. In this study, we found that T-96 has inhibition when ESCC cells are proliferating, migrating and cloning. Moreover, relevant effects are influenced by dose and time. And T-96 can result in the stop of G2/M phase and induce apoptosis of ESCC cells. In addition, the expressions of Cyclin B1, Cyclin D1, Bcl-2, PARP1 and Survivin were decreased after starch demethylation. Despite of this, Bax and PARP1's expressions went up. To add up, there was an obvious increase in the expression of E-cadherin, while that of N-cadherin, Vimentin and MMP9 decreased after T-96 treatment. Moreover, the expression of Wnt/β-Catenin pathway, which concerns proteins β-Catenin, c-Myc and Wnt3a decreased. Our study shows that T-96 inhibits the proliferation and migration of esophageal cancer cells through Wnt/β-catenin pathway. Moreover, it gives rise to cell cycle arrest and apoptosis. According to the research results, T-96 tends to be put into use when treating ESCC patients, thus laying the experimental foundation for clinical research.
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http://dx.doi.org/10.7150/jca.45493 | DOI Listing |
Sci Rep
December 2024
Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, 2-2-E2, Yamada-Oka, Suita, Osaka, 565-0871, Japan.
Esophageal cancer is a highly aggressive disease, and acquired resistance to chemotherapy remains a significant hurdle in its treatment. mtDNA, crucial for cellular energy production, is prone to mutations at a higher rate than nuclear DNA. These mutations can accumulate and disrupt cellular function; however, mtDNA mutations induced by chemotherapy in esophageal cancer remain unexplored.
View Article and Find Full Text PDFIran J Biotechnol
July 2024
Thoracic surgery Department, Tianjin Chest hospital, Tianjin City, 300222, PR. China.
Background: Long non-coding RNA (lncRNA) U731166 and microRNA (miR)-3607-3p are two ncRNAs with critical roles in cancer biology, while their involvement in esophageal squamous-cell carcinomas (ESCC) is unclear. We predicted that U731166 and miR-3607-3p might interact with each other. This study aimed to investigate their role and interaction in ESCC.
View Article and Find Full Text PDFIran J Biotechnol
July 2024
Department of Pathology, The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, China.
Background: Oesophageal cancer (EC) is one of the common malignant tumors, and the prognosis of patients is poor. Further exploration of EC pathogenesis remains warranted.
Objective: The relationship between vascular epithelial cadherin (VE-cadherin) and chitinase-3-like protein 1 (CHI3L1) in EC is currently unknown.
Sci Rep
December 2024
Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
PrPc is expressed in various tumors and is associated with cancer progression, but previous studies have shown conflicting results regarding its relationship with patient prognosis-potentially due to differences in the antibodies used. This study aimed to clarify the relationship between PrPc expression and primary esophageal squamous cell carcinoma (ESCC) and primary hepatocellular carcinoma (HCC) using a novel anti-PrPc antibody, 4AA-m, noted for its high specificity and sensitivity. We used flow cytometry to detect PrPc expression in ESCC and HCC cell lines.
View Article and Find Full Text PDFLab Invest
December 2024
Department of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513 Japan.
Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical significance in esophageal squamous cell carcinoma (ESCC) is unknown. Artificial intelligence (AI) can quantitatively evaluate histopathological findings. The aim was to measure NS in ESCC using AI and elucidate its clinical significance.
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