SynthesisLipids in health and disease2021
Identification of prognostic lipid droplet-associated genes in pancreatic cancer patients via bioinformatics analysis.
Synthesis in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.
- Modern Approaches to Diagnosis and Evaluation of Survival Prognosis in Patients with Pancreatic Cancer.International journal of molecular sciences · 2026Pooled it
- A model of cellular proliferation and mitochondrial biogenesis predicts prognosis and immunotherapy response in lung adenocarcinoma.Translational cancer research · 2026Article
- Site-Specific Phosphoproteomic Profiling of CAV1 Reveals Co-Regulatory Kinase Networks in Cancer Signaling.International journal of molecular sciences · 2026Article
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- Recent advances in microfluidic technologies for the detection of Alzheimer's disease biomarkers: toward point-of-care neurodiagnostic.Mikrochimica acta · 2026Review
- The multifaceted roles of the ACSL family in cancer: Metabolic reprogramming, ferroptosis regulation and tumour immune microenvironment remodelling.Clinical and translational medicine · 2026Review
- [EVA1A overexpression improves non-alcoholic fatty liver disease in mice by regulating lipid metabolism and promoting lipophagy].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Lipid Droplets in Cancer: New Insights and Therapeutic Potential.International journal of molecular sciences · 2026Review
- Knocking down Cavin1 can suppress cell proliferation, lipid metabolism and accelerate cell apoptosis in pancreatic cancer.Discover oncology · 2026Article
- Inhibition of RAB7 promotes CD8American journal of cancer research · 2026Article
- Bioinformatics Analysis Identifies Lipid Droplet-Associated Gene Signatures as Promising Prognostic and Diagnostic Models for Endometrial Cancer.Cancer reports (Hoboken, N.J.) · 2025Article
- Long-chain fatty acyl CoA synthetase 4 expression in pancreatic cancer: a marker for malignant lesions and prognostic indicator for recurrence.Diagnostic pathology · 2025Article
- Impact of DNA methylation on digestive and metabolic gene expression in red pandas (Ailurus fulgens) during the transition from milk to bamboo diet.BMC genomics · 2025Article
- Potential role of hypobaric hypoxia environment in treating pan-cancer.Scientific reports · 2025Article
- Plin5: A potential therapeutic target for type 2 diabetes mellitus.Diabetology & metabolic syndrome · 2025Article
- Comprehensive Analysis of DGATs and PLINs in Ovarian Cancer: Implications for Diagnosis and Prognosis.BioMed research international · 2025Article
- Mutation on JmjC domain of UTX impaired its antitumor effects in pancreatic cancer via inhibiting G0S2 expression and activating the Toll-like signaling pathway.Molecular medicine (Cambridge, Mass.) · 2024Article
- Article
- Article
- Tumor-derived Prevotella intermedia aggravates gastric cancer by enhancing Perilipin 3 expression.Cancer science · 2024Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer is the fourth leading cause of cancer deaths in the United States both in females and in males, and is projected to become the second deadliest cancer by 2030. The overall 5-year survival rate remains at around 10%. Cancer metabolism and specifically lipid metabolism plays an important role in pancreatic cancer progression and metastasis. Lipid droplets can not only store and transfer lipids, but also act as molecular messengers, and signaling factors. As lipid droplets are implicated in reprogramming tumor cell metabolism and in invasion and migration of pancreatic cancer cells, we aimed to identify lipid droplet-associated genes as prognostic markers in pancreatic cancer.
methodsWe performed a literature search on review articles related to lipid droplet-associated proteins. To select relevant lipid droplet-associated factors, bioinformatics analysis on the GEPIA platform (data are publicly available) was carried out for selected genes to identify differential expression in pancreatic cancer versus healthy pancreatic tissues. Differentially expressed genes were further analyzed regarding overall survival of pancreatic cancer patients.
results65 factors were identified as lipid droplet-associated factors. Bioinformatics analysis of 179 pancreatic cancer samples and 171 normal pancreatic tissue samples on the GEPIA platform identified 39 deferentially expressed genes in pancreatic cancer with 36 up-regulated genes (ACSL3, ACSL4, AGPAT2, BSCL2, CAV1, CAV2, CAVIN1, CES1, CIDEC, DGAT1, DGAT2, FAF2, G0S2, HILPDA, HSD17B11, ICE2, LDAH, LIPE, LPCAT1, LPCAT2, LPIN1, MGLL, NAPA, NCEH1, PCYT1A, PLIN2, PLIN3, RAB5A, RAB7A, RAB8A, RAB18, SNAP23, SQLE, VAPA, VCP, VMP1) and 3 down-regulated genes (FITM1, PLIN4, PLIN5). Among 39 differentially expressed factors, seven up-regulated genes (CAV2, CIDEC, HILPDA, HSD17B11, NCEH1, RAB5A, and SQLE) and two down-regulation genes (BSCL2 and FITM1) were significantly associated with overall survival of pancreatic cancer patients. Multivariate Cox regression analysis identified CAV2 as the only independent prognostic factor.
conclusionsThrough bioinformatics analysis, we identified nine prognostic relevant differentially expressed genes highlighting the role of lipid droplet-associated factors in pancreatic cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.