Programmed cell death (PCD) induction is a promising strategy for killing gastric cancer cells. In this study, we investigated the effects of chrysophanol on apoptosis and ferroptosis in gastric cancer cells. Chrysophanol in concentrations ranging from 0 to 100 μM were used to treat GES-1, HGC-27 and AGS cells. Cell counting kit-8 assay, colony formation assay, 5-ethynyl-2'-deoxyuridine staining, flow cytometry, JC-1 probe insertion, dihydroethidium staining and western blotting were performed. The effects of chrysophanol on gastric cancer cells were evaluated in vivo using a xenograft mouse model. Chrysophanol had no cytotoxic effects on GES-1 cells. Chrysophanol with concentrations higher than 25 μM inhibited gastric cancer cell colony formation and proliferation. Chrysophanol induces gastric cancer cell apoptosis in a dose-dependent manner, accompanied by mitochondrial membrane potential dysfunction and cytochrome c release. Additionally, chrysophanol increased the levels of reactive oxygen species, total iron, and Fe in HGC-27 and AGS cells, in a dose-dependent manner. Treatment of cells with the ferroptosis inhibitor ferrostatin-1 attenuated the effects of chrysophanol on cell survival and the expression of ferroptosis markers SLC7A11 and GPX4. Screening by GEO software indicated that the mTOR signalling pathway is possibly regulated by chrysophanol. Furthermore, mTOR overexpression significantly reversed the inhibitory effects of chrysophanol on gastric cancer cells. In gastric cancer xenograft mouse models, chrysophanol treatment inhibited tumour growth and downregulated SLC7A11 and GPX4. Chrysophanol induces apoptosis and ferroptosis, making it a potential candidate for killing gastric cancer cells. The beneficial effects of chrysophanol may be attribute to the targeted regulation of mTOR.
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http://dx.doi.org/10.1111/cbdd.14417 | DOI Listing |
Discov Oncol
January 2025
Western Institute of Digital-Intelligent Medicine, 401329, Chongqing, China.
Background: The metabolism of stearoyl-GPE plays a key role in the liver metastasis of gastric cancer. This investigation delves into the mechanisms underlying the intricate tumor microenvironment (TME) heterogeneity triggered by stearoyl metabolism in gastric cancer with liver metastasis (LMGC), offering novel perspectives for LMGC.
Objective: Utilizing Mendelian randomization, we determined that stearoyl metabolism significantly contributes to the progression of gastric cancer (GC).
Ann Surg Oncol
January 2025
Department of Surgery, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.
Background: To improve the prognosis of clinically resectable type 4 or large type 3 gastric cancer (GC), we performed a phase I/II study of neoadjuvant-radiotherapy combined with S-1 plus cisplatin.
Patients And Methods: Phase I, with a standard 3 + 3 dose-escalation design, was performed to define the recommended phase II dose. Efficacy and safety were evaluated in phase II.
Curr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
Curr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
Small
January 2025
Department of Surgical Oncology and General Surgery Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Current in vitro models for gastric cancer research, such as 2D cell cultures and organoid systems, often fail to replicate the complex extracellular matrix (ECM) found in vivo. For the first time, this study utilizes a gelatin methacryloyl (GelMA) hydrogel, a biomimetic ECM-like material, in 3D bioprinting to construct a physiologically relevant gastric cancer model. GelMA's tunable mechanical properties allow for the precise manipulation of cellular behavior within physiological ranges.
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