ArticleCancer medicine2021
CT-detected extramural venous invasion-related gene signature for the overall survival prediction in patients with gastric cancer.
Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- CT-based scores for extramural vascular invasion and occult peritoneal metastasis correlate with gastric cancer survival.European radiology · 2025Article
- Extramural venous invasion in gastric cancer: 9.4T magnetic resonance imaging assessment and circular RNA functional analysis.World journal of gastroenterology · 2025Article
- Imaging genomics of cancer: a bibliometric analysis and review.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Review
- Overall survival prediction of gastric cancer using the gene signature of CT-detected extramural venous invasion combined with M2 macrophages infiltration.Journal of translational medicine · 2024Article
- Non-Coding RNA as Biomarkers and Their Role in the Pathogenesis of Gastric Cancer-A Narrative Review.International journal of molecular sciences · 2024Review
- Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients.BMC medical imaging · 2024Article
- Analysis of enhanced CT imaging signs and clinicopathological prognostic factors in hepatoid adenocarcinoma of stomach patients with radical surgery: a retrospective study.BMC medical imaging · 2023Article
- Computed tomography-detected extramural venous invasion-related gene signature: a potential negative biomarker of immune checkpoint inhibitor treatment in patients with gastric cancer.Journal of translational medicine · 2023Article
- Effects of tRNA-derived fragments and microRNAs regulatory network on pancreatic acinar intracellular trypsinogen activation.Bioengineered · 2022Article
- CT-detected extramural venous invasion-related gene signature for the overall survival prediction in patients with gastric cancer.Cancer medicine · 2021Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundComputed tomography (CT)-detected extramural venous invasion (EMVI) has been identified as an independent factor that can be used for risk stratification and prediction of prognosis in patients with gastric cancer (GC). Overall survival (OS) is identified as the most important prognostic indicator for GC patients. However, the molecular mechanism of EMVI development and its potential relationship with OS in GC are not fully understood. In this radiogenomics-based study, we sought to investigate the molecular mechanism underlying CT-detected EMVI in patients with GC, and aimed to construct a genomic signature based on EMVI-related genes with the goal of using this signature to predict the OS. MATERIALS AND
methodsWhole mRNA genome sequencing of frozen tumor samples from 13 locally advanced GC patients was performed to identify EMVI-related genes. EMVI-prognostic hub genes were selected based on overlapping EMVI-related differentially expressed genes and OS-related genes, using a training cohort of 176 GC patients who were included in The Cancer Genome Atlas database. Another 174 GC patients from this database comprised the external validation cohort. A risk stratification model using a seven-gene signature was constructed through the use of a least absolute shrinkage and selection operator Cox regression model.
resultsPatients with high risk score showed significantly reduced OS (training cohort, p = 1.143e-04; validation cohort, p = 2.429e-02). Risk score was an independent predictor of OS in multivariate Cox regression analyses (training cohort, HR = 2.758; 95% CI: 1.825-4.169; validation cohort, HR = 2.173; 95% CI: 1.347-3.505; p < 0.001 for both). Gene functions/pathways of the seven-gene signature mainly included cell proliferation, cell adhesion, regulation of metal ion transport, and epithelial to mesenchymal transition.
conclusionsA CT-detected EMVI-related gene model could be used to predict the prognosis in GC patients, potentially providing clinicians with additional information regarding appropriate therapeutic strategy and medical decision-making.
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