Cancer is a complicated long-term disease due to computable key molecular players involved in aggravating the disease. Among various kinds of cancer, hepatocellular carcinoma (HCC) is the ninth leading cause of cancer. Recently, plant-based products are gaining a lot of attention in the field of research because of their anti-tumor properties. In our previous study, we reported based on in-silico method that bromelain, a cysteine protease extracted from the stem of the pineapple, has high binding affinity with the transcription factors p53 and β-catenin proteins which are key players in controlling the progression of hepatocellular carcinoma. Bromelain, isolated mainly from the stem of Pineapple (Ananas comosus), belongs to the family Bromeliaceae. The present study deals with preclinical analysis of bromelain as an anti-cancer agent and its intracellular effect on the expression of p53 and β-catenin protein. Our study reports cytotoxic activity, cell proliferation, migration, invasion, arrest in the S-phase, and G2/M phase in cell cycle analysis by treating with bromelain in HepG2 cell lines. We also report up-regulation of p53 protein by drug-induced impediment leading to apoptotic process in HepG2 cells and down-regulation of β-catenin protein in HepG2 cells which interferes in β-catenin/TCF-DNA interaction further, down-regulating Wnt genes and suppressing the canonical pathway. Finally, we conclude that bromelain inhibits tumorigenic potential in HepG2 cell lines.
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http://dx.doi.org/10.1007/s12010-021-03505-z | DOI Listing |
Cancer Rep (Hoboken)
January 2025
Department of Medical Biotechnology, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Background: Bioinformatics analysis of hepatocellular carcinoma (HCC) expression profiles can aid in understanding its molecular mechanisms and identifying new targets for diagnosis and treatment.
Aim: In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs).
Methods And Results: Common DEGs were identified, and a PPI network was constructed using the STRING database and Cytoscape software to identify hub genes.
Front Genet
December 2024
School of information engineering, Jingdezhen Ceramic University, Jingdezhen, China.
The early symptoms of hepatocellular carcinoma patients are often subtle and easily overlooked. By the time patients exhibit noticeable symptoms, the disease has typically progressed to middle or late stages, missing optimal treatment opportunities. Therefore, discovering biomarkers is essential for elucidating their functions for the early diagnosis and prevention.
View Article and Find Full Text PDFFront Nutr
December 2024
Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: The Prognostic Nutritional Index (PNI), which reflects both nutritional and immune status, has emerged as a potential predictor of survival outcomes in cancer patients. However, its role in forecasting the prognosis of hepatocellular carcinoma (HCC) following curative hepatectomy remains unclear. To further investigate the association between PNI and survival outcomes in HCC patients, we conducted a systematic review and meta-analysis.
View Article and Find Full Text PDFMost malignant hepatocellular tumors in children are classified as either hepatoblastoma (HB) or hepatocellular carcinoma (HCC), but some tumors demonstrate features of both HB and HCC . These tumors have been recognized under a provisional diagnostic category by the World Health Organization and are distinguished from HB and HCC by a combination of histological, immunohistochemical, and molecular features . Their outcomes and cellular composition remain an open question .
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Background: Transarterial therapy (TAT), bevacizumab (Bev), and immune checkpoint inhibitors (ICIs) have individually exhibited efficacy in treating advanced-stage hepatocellular carcinoma (HCC). This study aimed to assess the efficacy and safety of the combination of these three treatments as a neoadjuvant modality in patients with locally advanced HCC.
Methods: The primary endpoint is overall survival (OS).
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