ReviewWorld journal of gastroenterology2005
Molecular profiling of hepatocellular carcinomas by cDNA microarray.
Review in World journal of gastroenterology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 28 citations in OpenAlex.
- Function of the Long Noncoding RNAs in Hepatocellular Carcinoma: Classification, Molecular Mechanisms, and Significant Therapeutic Potentials.Bioengineering (Basel, Switzerland) · 2022Review
- Proteomic and transcriptomic studies of HBV-associated liver fibrosis of an AAV-HBV-infected mouse model.BMC genomics · 2017Article
- Molecular alterations in the carcinogenesis and progression of hepatocellular carcinoma: Tumor factors and background liver factors.Oncology letters · 2016Article
- Hepatitis C virus network based classification of hepatocellular cirrhosis and carcinoma.PloS one · 2012Article
- Gene systems network inferred from expression profiles in hepatocellular carcinogenesis by graphical Gaussian model.EURASIP journal on bioinformatics & systems biology · 2007Article
- Review
- Gene expression profile related to the progression of preneoplastic nodules toward hepatocellular carcinoma in rats.Neoplasia (New York, N.Y.) · 2006Article
- Gene expression analysis in HBV transgenic mouse liver: a model to study early events related to hepatocarcinogenesis.Molecular medicine (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the most common cancers in the world. Conventional diagnosis and treatment of this malignancy have been dismal and should be complemented by novel tools. The development and progress of HCC are believed to be caused by the accumulation of genetic changes resulting in altered expression of thousands of cancer-related genes, which can be measured by globe genetic analysis. Gene expression profiling of HCC has been employed to elucidate hepatocarcinogenesis and disclose molecular mechanisms underlying complex clinical features. Identifying phenotype-associated genes/profiles has impacts on current diagnosis and management strategy of HCC. In spite of some pitfalls of this technology and challenges in improving the research process, scrutinous validation of profiling data of HCC combined with other approaches will eventually benefit the patients.
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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.