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Received — 26 March 2026 ⏭ Omics in Gastric

Mechanisms of Xinwei Tang in stress-induced gastric dysmotility: evidence from rat and In Vitro models

In Vitro Cell Dev Biol Anim. 2026 Mar 18. doi: 10.1007/s11626-026-01151-5. Online ahead of print.

ABSTRACT

Stress is a key trigger of gastric dysmotility, partly via mitochondrial dysfunction and disordered gut-brain hormonal signaling. Xinwei Tang (XWT) is a multi-herb formula used empirically for upper gastrointestinal symptoms, but its mechanisms remain unclear. This study aimed to determine whether XWT alleviates water-immersion restraint stress (WIRS)-induced gastric dysmotility and to delineate underlying mitochondrial and metabolic pathways using integrated in vivo, in vitro and multi-omics approaches. Male rats underwent 7-d WIRS and received vehicle, domperidone (3 mg/kg) or XWT (3, 6, 12 g/kg). Gastric emptying, serum motilin/gastrin, oxidative stress indices and PINK1/Parkin-LC3/p62 proteins were assessed, and H₂O₂-injured GES-1 cells were treated with XWT-medicated serum. Gastric antra from MOD and XWT-H rats were analyzed by RNA-seq and DIA proteomics (n = 3/group). WIRS reduced gastric emptying by roughly half and lowered motilin/gastrin, increased ROS/MDA and disrupted PINK1/Parkin-LC3/p62 profiles; XWT dose-dependently reversed these changes, with XWT-H approximating domperidone. Omics revealed XWT-associated downregulation of inflammatory/protease and acute-phase genes/proteins and enrichment of oxidative phosphorylation, tricarboxylic-acid cycle and other metabolic pathways, without global activation of canonical autophagy/mitophagy gene sets. These preclinical data indicate that XWT ameliorates stress-induced gastric dysmotility via mitochondria- and metabolism-centred protection with selective tuning of mitophagy-related proteins.

PMID:41851413 | DOI:10.1007/s11626-026-01151-5

19-Hydroxybufalin Inhibits Gastric Cancer Cell Proliferation by Modulating Metabolic Reprogramming

J Proteome Res. 2026 Apr 3;25(4):2014-2023. doi: 10.1021/acs.jproteome.5c00983. Epub 2026 Mar 17.

ABSTRACT

OBJECTIVE: 19-Hydroxybufalin (19-H) is a natural bioactive compound with anticancer potential, but its molecular target and mechanism of action remain unclear. This study aimed to systematically evaluate its antigastric cancer activity and identify potential molecular targets.

METHODS: The antitumor effect of 19-H was evaluated in both in vitro and in vivo models. Multiomics analysis, thermal proteome profiling, molecular docking, and molecular dynamics simulations were employed to elucidate the mechanism of action. Functional assays were further conducted to validate the key target.

RESULTS: 19-H exhibited nanomolar-level inhibitory activity against various gastric cancer cell lines, significantly suppressing tumor growth in subcutaneous xenograft and patient-derived xenograft models. Multiomics analysis revealed that 19-H reshaped metabolic pathways in gastric cancer. TPP screening identified PLPP2 as a potential target with significantly increased thermal stability upon 19-H treatment. Molecular simulations further revealed that 19-H binds stably to the α-helical region of PLPP2.

CONCLUSIONS: 19-H exerts its antigastric cancer effect by targeting PLPP2 and remodeling the metabolic network. PLPP2 may represent a novel therapeutic target for gastric cancer.

PMID:41842934 | DOI:10.1021/acs.jproteome.5c00983

A multiomics Mendelian randomization study on PANoptosis-related genes and gastric cancer risk

J Int Med Res. 2026 Mar;54(3):3000605261430163. doi: 10.1177/03000605261430163. Epub 2026 Mar 16.

ABSTRACT

ObjectiveTo explore the potential involvement of PANoptosis-related genes in gastric cancer susceptibility through multiomics analyses.MethodsSummary-data-based Mendelian randomization was performed by integrating blood-derived methylation, gene expression, and protein quantitative trait loci data with genome-wide association study results. The findings were further evaluated in The Cancer Genome Atlas cohort, followed by protein-protein interaction analysis, drug prediction, and molecular docking.ResultsSummary-data-based Mendelian randomization and colocalization analyses identified several traits suggestively associated with gastric cancer risk. Genetically predicted higher expression of apoptosis and caspase activation inhibitor (AVEN) and hepatocyte growth factor (HGF) as well as higher HGF protein levels were associated with increased risk, whereas higher levels of protein phosphatase 2 regulatory subunit B beta (PPP2R2B) appeared to be protective. Multiomics integration suggested epigenetic regulation of HGF and PPP2R2B. The Cancer Genome Atlas analysis corroborated the dysregulation of these candidates, with high AVEN expression associated with poorer survival. Protein-protein interaction and drug prediction analyses highlighted functional networks and potential therapeutics, supported by molecular docking demonstrating strong HGF-binding affinities. However, these associations did not reach statistical significance in the independent validation cohort, possibly due to limited statistical power.ConclusionsThis study identified AVEN, HGF, and PPP2R2B as potential candidate genes for gastric cancer. These findings require further validation in larger cohorts.

PMID:41840829 | DOI:10.1177/03000605261430163

Received — 14 March 2026 ⏭ Omics in Gastric

Integrative In Silico Multi-Omics Profiling of circRNA-Mediated ceRNA Networks Reveals Prognostic Biomarkers and Repurposed Therapeutic Candidates in Gastric Cancer

14 March 2026 at 18:00

Int J Mol Sci. 2026 Feb 25;27(5):2171. doi: 10.3390/ijms27052171.

ABSTRACT

Gastric cancer (GC), also known as stomach adenocarcinoma (STAD), remains a highly lethal malignancy due to late diagnosis, limited therapeutic efficacy, and frequent metastasis. Although extensive molecular profiling has been performed, post-transcriptional regulatory mechanisms underlying GC progression are still incompletely characterized. In this study, we applied an integrative multi-omics framework to elucidate the regulatory roles and clinical relevance of circular RNAs (circRNAs) in GC. Transcriptomic data of mRNAs, microRNAs, and circRNAs from eight independent GEO datasets were jointly analyzed, resulting in the identification of 249 differentially expressed genes (DEGs), 8 differentially expressed microRNAs (DEmiRNAs), and 4 differentially expressed circRNAs (DEcircRNAs). These molecules were integrated into a competing endogenous RNA (ceRNA) network, enabling systems-level characterization of GC-associated regulatory interactions. Network topology and survival analyses prioritized 13 hub molecules, including IGF2BP3, COL4A1, MMP14, and TGM2, which showed both central network positions and significant associations with patient survival. To explore therapeutic implications, transcriptomics-guided drug repositioning combined with molecular docking analysis identified five candidate compounds-celastrol, fedratinib, pevonedistat, tozasertib, and withaferin A-predicted to target key network hubs. Overall, this in silico study provides a ceRNA-centered regulatory framework for GC and prioritizes biologically informed biomarkers and repositioned drug candidates with potential applicability across other malignancies to converge precision oncology.

PMID:41828401 | PMC:PMC12985316 | DOI:10.3390/ijms27052171

Autophagy-centered regulation of PI3K/Akt/mTOR and MAPK signaling by traditional Chinese medicine in gastric cancer

13 March 2026 at 18:00

Tissue Cell. 2026 Mar 10;101:103409. doi: 10.1016/j.tice.2026.103409. Online ahead of print.

ABSTRACT

Gastric cancer (GC) remains a major global health burden, with high incidence and mortality rates, particularly in East Asia, driven by factors such as Helicobacter pylori infection, dietary risks, and genetic predispositions. Conventional treatments like surgery and chemotherapy are limited by resistance, toxicity, and poor outcomes in advanced stages. The PI3K/Akt/mTOR and MAPK signaling pathways are central to GC pathogenesis, promoting proliferation, survival, metabolic reprogramming, epithelial-mesenchymal transition (EMT), and metastasis through aberrations like PIK3CA mutations, PTEN loss, and KRAS alterations. These pathways exhibit extensive crosstalk, contributing to therapeutic resistance. This review explores the regulatory effects of Traditional Chinese Medicine (TCM) on these pathways in GC, grounded in TCM principles such as Qi deficiency, Damp-Heat, and disharmony of the Spleen and Stomach. Single herbal monomers (e.g., curcumin, berberine, resveratrol) inhibit PI3K/Akt/mTOR by upregulating PTEN and suppressing mTOR, inducing autophagy and apoptosis. Classical herbs like Huangqin and Huanglian modulate Akt and ERK phosphorylation, while compound formulas (e.g., Banxia Xiexin Decoction, Sijunzi Decoction) synergistically target both pathways, reversing EMT and chemoresistance. TCM addresses crosstalk by disrupting feedback loops and reducing inflammation, enhancing efficacy in combination with Western therapies like chemotherapy and immunotherapy. Network pharmacology and multi-omics analyses reveal TCM's multitarget mechanisms, aligning with ZHENG-based personalization. Challenges include research variability, standardization issues, and incomplete mechanistic validation. Future directions emphasize high-quality trials, omics integration, and precision TCM for clinical translation. TCM offers low-toxicity, holistic options for integrative GC management, potentially improving survival and quality of life.

PMID:41825157 | DOI:10.1016/j.tice.2026.103409

Targeting the OXNAD1-PTGS2 axis with resveratrol overcomes ferroptosis Inhibition and reverses 5-FU resistance in gastric cancer

Gastric Cancer. 2026 Mar 13. doi: 10.1007/s10120-026-01718-x. Online ahead of print.

ABSTRACT

BACKGROUND: 5-Fluorouracil (5-FU) remains a cornerstone of first-line chemotherapy for gastric cancer, yet the emergence of resistance severely compromises its clinical efficacy. Although ferroptosis suppression has been recognized as a pivotal mechanism of chemoresistance, the mitochondrial regulatory processes involved remain poorly understood.

METHODS: We integrated clinical specimen analysis, in vitro and in vivo functional assays, multi-omics profiling, and molecular docking to delineate the role of the mitochondrial oxidoreductase OXNAD1 in mediating 5-FU resistance in gastric cancer, and to assess the therapeutic potential of the natural polyphenol resveratrol as a chemosensitizing agent.

RESULTS: OXNAD1 was found to be significantly overexpressed in gastric cancer tissues and cell lines, correlating with unfavorable prognosis and enhanced 5-FU resistance. Mechanistically, OXNAD1 directly bound to and suppressed the ferroptosis driver PTGS2, thereby attenuating lipid peroxidation and mitochondrial damage, ultimately restraining ferroptosis and promoting drug resistance. Notably, resveratrol disrupted the OXNAD1-PTGS2 interaction by directly binding OXNAD1, reinstating ferroptotic activity, markedly enhancing the cytotoxic effect of 5-FU in resistant cells, and potentiating the antitumor efficacy of 5-FU in xenograft models.

CONCLUSION: The OXNAD1-PTGS2 axis constitutes a critical metabolic-cell death cross-regulatory pathway underlying 5-FU resistance in gastric cancer. Targeting this axis with resveratrol provides a promising combinatorial strategy to overcome chemoresistance.

PMID:41824193 | DOI:10.1007/s10120-026-01718-x

Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches

12 March 2026 at 18:00

Mol Divers. 2026 Mar 12. doi: 10.1007/s11030-026-11508-3. Online ahead of print.

ABSTRACT

Gastric cancer (GC) risk is shaped by environmental exposures such as benzo[a]pyrene (BaP). Here, we systematically identified BaP-toxicological targets and dissected their contribution to GC development. BaP-related targets were independently predicted with stringent filters from ChEMBL, Similarity Ensemble Approach (SEA) and PharmMapper databases, while GC-related targets were mined from the Comparative Toxicogenomics Database (CTD), GeneCards and OMIM databases. Overlapping targets were subjected to protein-protein interaction (PPI) network construction, functional enrichment analysis and molecular docking. We then integrated multi-omics data using ten clustering algorithms to identify the consensus GC subtypes, which were subsequently employed 101 machine learning combinations to develop a consensus benzo[a]pyrene-related signature (CBRS) for GC patients. As a result, we identified seven hub toxicological targets: ALB, HSP90AA1, ESR1, INS, TP53, TNF, and EGFR, underscoring their potential central roles in BaP-driven GC pathogenesis. These targets are enriched in the MAPK, Lipid and atherosclerosis, and PI3K-Akt signaling pathway. The BaP-toxicological classifiers and the CBRS prognostic model could provide useful support for risk stratification and inform personalized therapeutic strategies for GC patients. Molecular docking results suggest that BaP exhibits relatively strong binding affinity with these key toxicological targets, potentially implicating their involvement in BaP-induced gastric cancer toxicity. Therefore, this study integrates multi-dimensional omics data with advanced machine learning algorithms to establish a comprehensive analytical framework for the toxicological effects of between BaP and GC, which transcends the limitations of traditional analyses and offers unprecedented insights and evidence chains for elucidating the pathogenesis of GC.

PMID:41817952 | DOI:10.1007/s11030-026-11508-3

FNDC1 Competitively Binds Gbeta2 to Suppress the beta-Catenin-Destruction Complex and Promote Gastric Cancer Malignancy

FASEB J. 2026 Mar 31;40(6):e71634. doi: 10.1096/fj.202503587R.

ABSTRACT

Gastric cancer (GC) is a leading cause of cancer-related deaths and has high recurrence rate. Although fibronectin domain-containing protein 1 (FNDC1) is implicated in GC progression, its molecular mechanisms remain unclear. Multi-omics analyses (TCGA, GEO datasets) were used to assess FNDC1 expression and clinical correlation. In vitro (cell proliferation, invasion, EMT markers) and in vivo (xenograft) experiments, combined with molecular assays (Co-IP, WB, ChIP), explored FNDC1's function and mechanism. FNDC1 was significantly upregulated in GC, correlating with advanced clinicopathological features and poor prognosis. Knockdown of FNDC1 suppressed GC cell proliferation, invasion, and metastasis by inhibiting EMT and Wnt/β-catenin signaling. Mechanistically, FNDC1 competitively bound the WD5 domain (residues 224-254) of Gβ2, disrupting Gβγ-Dvl1 interaction. This prevented Dvl1 degradation, promoted Axin1 ubiquitination, and destabilized the β-catenin-destruction complex (GSK3 β-APC-Axin1), leading to β-catenin accumulation and Wnt pathway activation. FNDC1 drives GC malignancy by targeting the Gβ2-Dvl1 axis to activate Wnt/β-catenin signaling, suggesting FNDC1 as a novel prognostic biomarker and therapeutic target.

PMID:41808415 | PMC:PMC12976582 | DOI:10.1096/fj.202503587R

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