Background: Autophagy plays multifaceted roles in regulating hepatocellular carcinoma (HCC) and the mechanisms involved are under-explored. Regulatory microRNAs (miRNAs) have been reported to target autophagy proteins but their roles in HCC is not well studied. Using HCC patient tissues, this study aims to investigate the association of autophagy with several clinicopathological parameters as well as identifying the autophagy-related miRNAs and the possible pathways.
Methods And Results: Autophagy level in the HCC patient-derived cancer and non-cancer tissues was determined by immunohistochemistry (IHC) targeting SQSTM1, LC3A and LC3B proteins. Significance tests of clinicopathological variables were tested using the Fisher's exact or Chi-square tests. Gene and miRNA expression assays were carried out and analyzed using Nanostring platform and software followed by validation of other online bioinformatics tools, namely String and miRabel. Autophagy expression was significantly higher in cancerous tissues compared to adjacent non-cancer tissues. High LC3B expression was associated with advanced tumor histology grade and tumor location. Nanostring gene expression analysis revealed that SQSTM1, PARP1 and ATG9A genes were upregulated in HCC tissues compared to non-cancer tissues while SIRT1 gene was downregulated. These genes are closely related to an autophagy pathway in HCC. Further, using miRabel tool, three downregulated miRNAs (hsa-miR-16b-5p, hsa-miR-34a-5p, and hsa-miR-660-5p) and one upregulated miRNA (hsa-miR-539-5p) were found to closely interact with the abovementioned autophagy-related genes. We then mapped out the possible pathway involving the genes and miRNAs in HCC tissues.
Conclusions: We conclude that autophagy events are more active in HCC tissues compared to the adjacent non-cancer tissues. We also reported the possible role of several miRNAs in regulating autophagy-related genes in the autophagy pathway in HCC. This may contribute to the development of potential therapeutic targets for improving HCC therapy. Future investigations are warranted to validate the target genes reported in this study using a larger sample size and more targeted molecular technique.
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http://dx.doi.org/10.1007/s10735-024-10191-8 | DOI Listing |
Cancers (Basel)
November 2024
European Cancer and Environment Research Institute (ECERI), 1000 Brussels, Belgium.
Background: A fundamental property of cancer cells is their metabolic reprogramming, allowing them to increase glucose uptake and glycolysis. Using a rat colon adenocarcinoma model, we previously showed that blood levels of free methylglyoxal (MG), a side-product of glycolysis, remained normal in animals grafted with a non-growing tumor cell clone, while MG levels were significantly increased and positively correlated with tumor growth in animals grafted with a tumorigenic cell clone issued from the same tumor.
Methods: We measured free MG in the blood of cancerous non-diabetic patients and compared the results to healthy subjects and non-cancerous diabetic patients.
PeerJ
December 2024
Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Department of Gastroenterology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Background: Tumor necrosis factor receptor-associated factor 3 (TRAF3)-interacting protein 3 (TRAF3IP3) expressed in various tumor cell. However, its role in hepatocellular carcinoma (HCC) was unclear. We aimed to demonstrate the relationship between TRAF3IP3 and HCC and explore the potential role of TRAF3IP3 in HCC.
View Article and Find Full Text PDFFront Immunol
December 2024
Institute of Anatomy, First Faculty of Medicine, Charles, University, Prague, Czechia.
Wound healing represents a complex and evolutionarily conserved process across vertebrates, encompassing a series of life-rescuing events. The healing process runs in three main phases: inflammation, proliferation, and maturation/remodelling. While acute inflammation is indispensable for cleansing the wound, removing infection, and eliminating dead tissue characterised by the prevalence of neutrophils, the proliferation phase is characterised by transition into the inflammatory cell profile, shifting towards the prevalence of macrophages.
View Article and Find Full Text PDFGan To Kagaku Ryoho
November 2024
Dept. of Basic Pathology, Fukushima Medical University School of Medicine.
Claudins(CLDNs)are essential components of tight junctions, which are the most apical elements of apical junctional complexes. The family consists of more than 20 members in humans and shows distinct expression patterns in a tissue- and cell-type-specific manner. Recently, many studies have shown that CLDNs overexpressed in cancer cells positively regulate their malignant behavior.
View Article and Find Full Text PDFComput Biol Med
December 2024
Baines Imaging Research Laboratory, London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada; School of Biomedical Engineering, Western University, London, Ontario, Canada; Department of Oncology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada. Electronic address:
Background: A growing body of research is using deep learning to explore the relationship between treatment biomarkers for lung cancer patients and cancer tissue morphology on digitized whole slide images (WSIs) of tumour resections. However, these WSIs typically contain non-cancer tissue, introducing noise during model training. As digital pathology models typically start with splitting WSIs into tiles, we propose a model that can be used to exclude non-cancer tiles from the WSIs of lung squamous cell carcinoma (SqCC) tumours.
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