ReviewMolecular carcinogenesis2011
Exploring genomic profiles of hepatocellular carcinoma.
Review in Molecular carcinogenesis, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 67 citations in OpenAlex.
- The Genetic Landscape of Colorectal Cancer: From Molecular Alterations to Therapeutic Decision Pathways.Cancers · 2026Review
- Histidine-rich glycoprotein in metabolic dysfunction-associated steatohepatitis-related disease progression and liver carcinogenesis.Frontiers in immunology · 2024Article
- Essential amino acids as diagnostic biomarkers of hepatocellular carcinoma based on metabolic analysis.Oncotarget · 2022Article
- Oncostatin M is overexpressed in NASH-related hepatocellular carcinoma and promotes cancer cell invasiveness and angiogenesis.The Journal of pathology · 2022Article
- Associating Preoperative MRI Features and Gene Expression Signatures of Early-stage Hepatocellular Carcinoma Patients using Machine Learning.Journal of clinical and translational hepatology · 2022Article
- Molecular classification of hepatocellular carcinoma: prognostic importance and clinical applications.Journal of cancer research and clinical oncology · 2022Review
- Hepatocellular carcinoma as a complication of Niemann-Pick disease type C1.American journal of medical genetics. Part A · 2021Article
- Inflammatory Mechanisms of HCC Development.Cancers · 2020Review
- Comprehensive analysis of transcriptome profiles in hepatocellular carcinoma.Journal of translational medicine · 2019Article
- Article
- Role of Allelic Imbalance in Predicting Hepatocellular Carcinoma (HCC) Recurrence Risk After Liver Transplant.Annals of transplantation · 2019Article
- Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma.OncoTargets and therapy · 2019Article
- Integrated analysis of the impact of age on genetic and clinical aspects of hepatocellular carcinoma.Aging · 2018Article
- Hepatocellular carcinoma-related cyclin D1 is selectively regulated by autophagy degradation system.Hepatology (Baltimore, Md.) · 2018Article
- Transcriptome profiling of HepG2 cells exposed to the flame retardant 9,10-dihydro-9-oxa-10-phosphaphenanthrene 10-oxide (DOPO).Toxicology research · 2018Article
- Article
- Conditional Survival Analysis Demonstrates that Recurrence Risk of Surgically Treated Hepatocellular Carcinoma Evolves with Time.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2017Article
- Disease monitoring of hepatocellular carcinoma through metabolomics.World journal of hepatology · 2017Review
- Hepatocellular carcinoma beyond Milan criteria: Management and transplant selection criteria.World journal of hepatology · 2016Article
- Developmental Stage-Specific Embryonic Induction of HepG2 Cell Differentiation.Digestive diseases and sciences · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
Gene expression profiling using microarray technologies provides a powerful approach to understand complex biological systems and the pathogenesis of diseases. In the field of liver cancer research, a number of genome-wide profiling studies have been published. These studies have provided gene sets, that is, signature, which could classify tumors and predict clinical outcomes such as survival, recurrence, and metastasis. More recently, the application of genomic profiling has been extended to identify molecular targets, pathways, and the cellular origins of the tumors. Systemic and integrative analyses of multiple data sets and emerging new technologies also accelerate the progress of the cancer genomic studies. Here, we review the genomic signatures identified from the genomic profiling studies of hepatocellular carcinoma (HCC), and categorize and characterize them into prediction, phenotype, function, and molecular target signatures according to their utilities and properties. Our classification of the signatures would be helpful to understand and design studies with extended application of genomic profiles.
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.