ArticleScientific reports2018
Liver-enriched Genes are Associated with the Prognosis of Patients with Hepatocellular Carcinoma.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed, 19 citations in OpenAlex.
- Molecular stratification of hepatocellular carcinoma by metabolic-signaling pathways guides precision immunotherapy and TACE therapy.Clinical and molecular hepatology · 2026Article
- Molecular network of metabolic reprogramming and precision diagnosis and treatment of hepatocellular carcinoma.Biomarker research · 2025Review
- Article
- The fatty liver disease-causing protein PNPLA3-I148M alters lipid droplet-Golgi dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The fatty liver disease-causing protein PNPLA3-I148M alters lipid droplet-Golgi dynamics.bioRxiv : the preprint server for biology · 2023Article
- Loss of hepatic FTCD promotes lipid accumulation and hepatocarcinogenesis by upregulating PPARγ and SREBP2.JHEP reports : innovation in hepatology · 2023Article
- OOCDB: A Comprehensive, Systematic, and Real-time Organs-on-a-chip Database.Genomics, proteomics & bioinformatics · 2023Article
- Liver Regeneration-Related Genes of Nontumor Liver Tissues Predict the Prognosis of Patients with Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2023Article
- Differential methylation patterns in lean and obese non-alcoholic steatohepatitis-associated hepatocellular carcinoma.BMC cancer · 2022Article
- Analyzing cancer gene expression data through the lens of normal tissue-specificity.PLoS computational biology · 2021Article
- E3 Ubiquitin Ligase APC/CInternational journal of molecular sciences · 2020Article
- A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver.Omics : a journal of integrative biology · 2020Article
- Targeting glutaminase 1 attenuates stemness properties in hepatocellular carcinoma by increasing reactive oxygen species and suppressing Wnt/beta-catenin pathway.EBioMedicine · 2019Article
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 2 institutions in 1 country.
Funding
Abstract
Tissue-enriched genes are highly expressed in one particular tissue type and represent distinct physiological processes. The dynamic profile of tissue-enriched genes during tumorigenesis and progression remains largely unstudied. Here, we identified tissue-enriched genes from 12 tissue types based on RNA sequencing data from the Cancer Genome Atlas (TCGA), and found that the liver had the largest number of such genes among the 12 tissue types. The characteristics of liver-enriched genes were further investigated. Most liver-enriched genes were downregulated and metabolism-related genes, which were associated with pathological stage and dedifferentiation in patients with hepatocellular carcinoma (HCC). Hypermethylation might be a mechanism underlying the downregulation of liver-enriched genes. We constructed a liver-enriched gene set and demonstrated that it is associated with the prognosis of the patients with HCC both in the TCGA cohort and the Gene Expression Omnibus (GEO) datasets. Moreover, we discovered that the degree of the dissimilarity between tumors and normal tissues was correlated with the prognosis of patients with HCC and the biological behaviours of the tumors. These results will help identify prognostic biomarkers of patients with HCC, and enhance our understanding of the molecular mechanisms of hepatocarcinogenesis and progression.
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.