ArticleCancer medicine2021
Normal tissue adjacent to tumor expression profile analysis developed and validated a prognostic model based on Hippo-related genes in hepatocellular carcinoma.
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 21 papers.
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21 citing papers in PubMed, 33 citations in OpenAlex.
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- A postoperative recurrence prediction model for intrahepatic cholangiocarcinoma based on multi-omics analysis of adjacent-to-tumor tissues.Frontiers in oncology · 2026Article
- Systematic analysis of the expression profiles and prognostic values of the FAM72 family in liver cancer.Biochemistry and biophysics reports · 2025Article
- Casein kinase 1 family member CSNK1E can regulate proliferation and migration in hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2025Article
- Transcript PHF19-207 as a Potential Biomarker for Colon Cancer Diagnosis and Screening.Biomolecules · 2025Article
- Estrogen receptor α suppresses hepatocellular carcinoma by restricting M2 macrophage infiltration through the YAP-CCL2 axis.BMC cancer · 2025Article
- HLA-G expression in peritumoral fundic gland mucous neck cells, but not in tumor lesions, related to poor survival in patients with gastric cancer.Frontiers in immunology · 2025Article
- Clinical Potential of Misshapen/NIKs-Related Kinase (MINK) 1-A Many-Sided Element of Cell Physiology and Pathology.Current issues in molecular biology · 2024Review
- Upregulation ofGenes · 2024Article
- Heterogeneity of hepatocellular carcinoma that responds differently to combination therapy with TACE and Sorafenib as determined by digital spatial gene expression profiling.Genes & genomics · 2024Article
- Integrated clinical and prognostic analyses of mTOR/Hippo pathway core genes in hepatocellular carcinoma.Journal of physiology and biochemistry · 2024Article
- PGK1 is a potential biomarker for early diagnosis and prognosis of hepatocellular carcinoma.Oncology letters · 2024Article
- Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma.Nature communications · 2023Article
- Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients.Journal of translational medicine · 2023Article
- A Microfluidic Device for Long-Term Maintenance of Organotypic Liver Cultures.Advanced materials technologies · 2023Article
- Classification of IHC Images of NATs With ResNet-FRP-LSTM for Predicting Survival Rates of Rectal Cancer Patients.IEEE journal of translational engineering in health and medicine · 2023Article
- Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer.Genome medicine · 2022Article
- Multi-Omic Investigations of a 17-19 Translocation LinksInternational journal of molecular sciences · 2022Article
- Article
- Advances in prognostic and therapeutic targets for hepatocellular carcinoma and intrahepatic cholangiocarcinoma: The hippo signaling pathway.Frontiers in oncology · 2022Review
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8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is the most common malignant disease worldwide. Although the diagnosis and treatment of HCC have greatly improved in the recent years, there is still a lack of accurate methods to predict the prognosis of patients. Evidence has shown that Hippo signaling in tissues adjacent to HCC plays a significant role in HCC development. In the present study, we aimed to construct a model based on the expression of Hippo-related genes (HRGs) in tissues adjacent to HCC to predict the prognosis of HCC patients.
methodsGene expression data of paired normal tissues adjacent to HCC (PNTAH) and clinical information were obtained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. The HRG signature was constructed using four canonical Hippo-related pathways. Univariate Cox regression analysis was used to screen survival-related HRGs. LASSO and multivariate Cox regression analyses were used to construct the prognostic model. The true and false positive rates of the model were confirmed using receiver operating characteristic (ROC) analysis.
resultsThe prognostic model was constructed based on the expression levels of five HRGs (NF2, MYC, BIRC3, CSNK1E, and MINK1) in PNTAH. The mortality rate of HCC patients increased as the risk score determined by the model increased. Furthermore, the risk score was found to be an independent risk factor for the survival of patients. ROC analysis showed that the prognostic model had a better predictive value than the other conventional clinical parameters. Moreover, the reliability of the prognostic model was confirmed in TCGA-LIHC cohort. A nomogram was generated to predict patient survival. An exploration of the predictive value of the model in HCC tissues indicated that the model is PNTAH-specific.
conclusionsWe developed and validated a prognostic model based on the expression levels of five HRGs in PNTAH, and this model should be helpful in predicting the prognosis of patients with HCC.
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