ArticleBMC cancer2022
Integration of clinical and transcriptomics reveals programming of the lipid metabolism in gastric cancer.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 28 citations in OpenAlex.
- Metabolic reprogramming as a key regulator in Helicobacter pylori-infected gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Review
- Lipid metabolites as biomarkers and therapeutic targets in oral squamous cell carcinoma.BMC oral health · 2025Article
- Metabolic syndrome in colorectal cancer liver metastasis: metabolic reprogramming and microenvironment crosstalk.Frontiers in immunology · 2025Review
- Role of ATP citrate lyase and its complementary partner on fatty acid synthesis in gastric cancer.Scientific reports · 2024Article
- Modelling of miRNA-mRNA Network to Identify Gene Signatures with Diagnostic and Prognostic Value in Gastric Cancer: Evidence fromReports of biochemistry & molecular biology · 2024Article
- LncRNA RPARP-AS1 promotes the progression of osteosarcoma cells through regulating lipid metabolism.BMC cancer · 2024Article
- Lipidomics revealed alterations in glycerophospholipid metabolism in skin squamous cell carcinoma.Frontiers in molecular biosciences · 2024Article
- Helicobacter pylori promotes gastric intestinal metaplasia through activation of IRF3-mediated kynurenine pathway.Cell communication and signaling : CCS · 2023Article
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- Generation and multiomic profiling of aScience translational medicine · 2022Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipid metabolism has a profound impact on gastric cancer (GC) progression and is a newly targetable vulnerability for cancer therapy. Given the importance of lipids in cancer cellular processes, in this study we employed lipidomic clinical and transcriptomic data to connect the variations of lipid metabolism changes of GC. We constructed a clinical nomogram based on the lipid factors and other clinical items. Then by using multi-omics techniques, we established a lipid-related gene signature for individualized prognosis prediction in patients with GC. Moreover, a total of 1357 GC cases were then applied to evaluate the robustness of this model. WGCNA was used to identify co-expression modules and enriched genes associated with GC lipid metabolism. The role of key genes ACLY in GC was further investigated. The prognostic value of the lipgenesis signature was analyzed using Cox regression model, and clinical nomogram was established. Among them, we observed overexpression of ACLY significantly increased the levels of intracellular free fatty acid and triglyceride, and activated AKT/mTOR pathway to promote cancer development. In conclusion, our findings revealed that GC exhibited a reprogramming of lipid metabolism in association with an altered expression of associated genes. Among them, ACLY significantly promoted GC lipid metabolism and increased cancer cell proliferation, suggesting that this pathway can be targetable as a metabolic vulnerability in future GC therapy.
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