ArticleMedical oncology (Northwood, London, England)2013
Whole-transcriptome analysis of hepatocellular carcinoma.
Article in Medical oncology (Northwood, London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed, 5 citations in OpenAlex.
- Glycogene Expression Profiling of Hepatic Cells by RNA-Seq Analysis for Glyco-Biomarker Identification.Frontiers in oncology · 2020Article
- Transcriptome sequencing identified hub genes for hepatocellular carcinoma by weighted-gene co-expression analysis.Oncotarget · 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
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the leading causes of death in the world. It involves a complicated pathogenesis. In the present study, we tried to uncover the underlying mechanisms from the RNA level. Whole-transcriptome analysis using RNA-seq data showed that the tumor cells had higher expression levels of genes compared to normal tissue cells, with much more genes related to metabolism, synthesis, and transportation. A total of 4,638 differentially expressed genes were obtained in HCC, in which 3,476 were up-regulated and 1,162 were down-regulated. A total of 2,367 new isoforms and 46 fusion genes were detected in HCC cells using computational method. Within these variants, new isoforms of NIR and fusion genes PARP15-AHSG caught our attention for their potential roles in cancer development. These findings could be beneficial in guiding future researches.
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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.