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1.
Front Genet ; 14: 1094838, 2023.
Article in English | MEDLINE | ID: mdl-36845398

ABSTRACT

Gastric cancer (GC) is highly heterogeneous and GC patients have low overall survival rates. It is also challenging to predict the prognosis of GC patients. This is partly because little is known about the prognosis-related metabolic pathways in this disease. Hence, our objective was to identify GC subtypes and genes related to prognosis, based on changes in the activity of core metabolic pathways in GC tumor samples. Differences in the activity of metabolic pathways in GC patients were analyzed using Gene Set Variation Analysis (GSVA), leading to the identification of three clinical subtypes by non-negative matrix factorization (NMF). Based on our analysis, subtype 1 showed the best prognosis while subtype 3 exhibited the worst prognosis. Interestingly, we observed marked differences in gene expression between the three subtypes, through which we identified a new evolutionary driver gene, CNBD1. Furthermore, we used 11 metabolism-associated genes identified by LASSO and random forest algorithms to construct a prognostic model and verified our results using qRT-PCR (five matched clinical tissues of GC patients). This model was found to be both effective and robust in the GSE84437 and GSE26253 cohorts, and the results from multivariate Cox regression analyses confirmed that the 11-gene signature was an independent prognostic predictor (p < 0.0001, HR = 2.8, 95% CI 2.1-3.7). The signature was found to be relevant to the infiltration of tumor-associated immune cells. In conclusion, our work identified significant GC prognosis-related metabolic pathways in different GC subtypes and provided new insights into GC-subtype prognostic assessment.

2.
Cancer Lett ; 555: 216044, 2023 Feb 28.
Article in English | MEDLINE | ID: mdl-36574880

ABSTRACT

This study aimed at elucidating the crosstalk between redox reaction and metabolic remodeling through uncovering the mechanism underlying WZ35-mediated reactive oxygen species (ROS) production and regulation of amino acid metabolism to inhibit gastric cancer (GC) cell metastasis. The activity and biosafety of curcumin analog, WZ35, were verified in vitro and in vivo. The potential molecular mechanism underlying WZ35-mediated enhanced radiotherapeutic sensitivity by reduced Glutathione (GSH) depletion was elucidated by RNA sequencing, single-cell sequencing (scRNA-seq), metabolic mass spectrometry, and other molecular experiments. Compared to curcumin, WZ35 proved more potent anti-proliferative and anti-metastasis properties. Importantly, we demonstrated that WZ35 could consume GSH in multiple ways, including by reduction of raw materials and consumption reserves, inhibition of reformation, and enhanced decomposition. Mechanistically, we identify that WZ35 maintains the GSH depletion phenotype through the ROS-YAP-AXL-ALKBH5-GLS2 loop, further backing the relevance of metabolic remodeling in the tumor microenvironment with tumor metastasis and the role of m6A in tumor metastasis. Collectively, our study identified WZ35 as a novel GSH depletion agent and a previously undiscovered GSH depletion loop mechanism in GC cell metastasis.


Subject(s)
Curcumin , Stomach Neoplasms , Humans , Curcumin/pharmacology , Stomach Neoplasms/drug therapy , Stomach Neoplasms/genetics , Stomach Neoplasms/metabolism , Reactive Oxygen Species/metabolism , Apoptosis , Glutathione , Cell Line, Tumor , Tumor Microenvironment
3.
Food Funct ; 11(5): 4146-4159, 2020 May 01.
Article in English | MEDLINE | ID: mdl-32347864

ABSTRACT

Gastric cancer is the fourth most common cancer and the second most frequent cause of cancer death worldwide. Chemotherapy is an important treatment. However, traditional chemotherapy drugs have low bioavailability and targeting ability. Therefore, we developed curcumin-encapsulated micelles for the treatment of gastric cancer and investigated their antitumor efficacy and active mechanism. Gastric cancer cells were treated with different concentrations of curcumin micelles. MTS cell proliferation assays, flow cytometry (FCM), real time cellular analysis (RTCA) and nude mice xenografts were used to evaluate the effects of curcumin micelles on gastric cancer cell growth in vitro and in vivo. Western blotting was performed to analyze the protein levels of the indicated molecules. A Seahorse bioenergetics analyzer was used to investigate alterations in oxygen consumption and the aerobic glycolysis rate. Curcumin micelles significantly inhibited proliferation and colony formation and induced apoptosis in gastric tumor cells compared to the control groups. We further investigated the mechanism of curcumin micelles on gastric tumor cells and demonstrated that curcumin micelles acted on mitochondrial proteins, causing changes in mitochondrial function and affecting mitochondrial bioenergetics. Furthermore, curcumin micelles decreased mitochondrial membrane potential, increased reactive oxygen species (ROS) generation and disrupted redox equilibrium. The nude mouse model verified that curcumin micelle treatment significantly attenuated tumor growth in vivo. Curcumin micelles suppress gastric tumor cell growth in vitro and in vivo. The mechanism may be related to increasing ROS generation, disrupting redox equilibrium and affecting mitochondrial bioenergetics.


Subject(s)
Curcumin/pharmacology , Micelles , Mitochondria/drug effects , Mitochondria/metabolism , Reactive Oxygen Species/metabolism , Stomach Neoplasms/drug therapy , Animals , Cell Line, Tumor , Cell Proliferation/drug effects , Curcumin/chemistry , Gene Expression Regulation/drug effects , Humans , Mice , Mice, Nude , Neoplasms, Experimental/drug therapy , Oxidation-Reduction , Up-Regulation , Xenograft Model Antitumor Assays
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