ArticleDiagnostic pathology2013
The endothelial lipase protein is promising urinary biomarker for diagnosis of gastric cancer.
Article in Diagnostic pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Gastric cancer detection by non-blood-based liquid biopsies: A systematic review looking into the last decade of research.United European gastroenterology journal · 2023Pooled it
- Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Upper Gastrointestinal Cancers: A Systematic Review.Advances in therapy · 2021Pooled it
- ZDHHC1 downregulates LIPG and inhibits colorectal cancer growth via IGF2BP1 Palmitoylation.Cancer gene therapy · 2024Article
- Liquid Biopsy: An Emerging Diagnostic, Prognostic, and Predictive Tool in Gastric Cancer.Journal of gastric cancer · 2024Review
- Circulating Proteins as Diagnostic Markers in Gastric Cancer.International journal of molecular sciences · 2023Review
- LIPG is a novel prognostic biomarker and correlated with immune infiltrates in lung adenocarcinoma.Journal of clinical laboratory analysis · 2023Article
- Article
- Urinary Biomarkers for the Noninvasive Detection of Gastric Cancer.Journal of gastric cancer · 2022Review
- Identification of potential functional variants and genes at 18q21.1 associated with the carcinogenesis of colorectal cancer.PLoS genetics · 2022Article
- Article
- LIPG endothelial lipase and breast cancer risk by subtypes.Scientific reports · 2021Observational
- LIPG: an inflammation and cancer modulator.Cancer gene therapy · 2021Review
- Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention.Advanced drug delivery reviews · 2020Review
- Efficacy of interventional therapy and effect on inflammatory factors in patients with gastric cancer after chemotherapy.Oncology letters · 2019Article
- The role of endothelial lipase in lipid metabolism, inflammation, and cancer.Histology and histopathology · 2018Review
- Cell Free DNA of Tumor Origin Induces a 'Metastatic' Expression Profile in HT-29 Cancer Cell Line.PloS one · 2015Article
- The expression and clinical significance of miR-132 in gastric cancer patients.Diagnostic pathology · 2014Article
- Proteomic approaches in biomarker discovery: new perspectives in cancer diagnostics.TheScientificWorldJournal · 2014Review
- The distinct expression patterns of claudin-2, -6, and -11 between human gastric neoplasms and adjacent non-neoplastic tissues.Diagnostic pathology · 2013Article
- Promoter methylation and expression of TIMP3 gene in gastric cancer.Diagnostic pathology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundGastric cancer is one of the most common malignant tumors in the world. Finding effective diagnostic biomarkers in urine or serum would represent the most ideal solution to detecting gastric cancer during annual physical examination. This study was to evaluate the potential of endothelial lipase (EL) as a urinary biomarker for diagnosis of gastric cancer.
methodsThe expression levels of EL was measured using Western blotting and immunohistochemical staining experiments on (tissue, serum, and urine) samples of gastric cancer patients versus healthy people. We also checked the EL levels in the urine samples of other cancer types (lung, colon and rectum cancers) and benign lesions (gastritis and gastric leiomyoma) to check if EL was specific to gastric cancer.
resultWe observed a clear separation between the EL expression levels in the urine samples of 90 gastric cancer patients and of 57 healthy volunteers. It was approximately 9.9 fold average decrease of the EL expression levels in the urine samples of gastric cancer compared to the healthy controls (P <0.0001), achieving a 0.967 AUC value for the ROC (receiver operating characteristic) curve, demonstrating it's highly accurate as a diagnostic marker for gastric cancer. Interestingly, the expression levels of EL in tissue and serum samples were not nearly as discriminative as in urine samples (P = 0.90 and P = 0.79). In immunohistochemical experiments, positive expression of the EL protein was found in 67% (8/12) of gastric adjacent noncancerous and in 58% (7/12) of gastric cancer samples. There was no significant statistical in the expression levels of this protein between the gastric cancer and the matching noncancerous tissues (P =0.67).
conclusionsThe urinary EL as a highly accurate gastric cancer biomarker that is potentially applicable to the general screening with high sensitivity and specificity. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/4527331618757552.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.