Evidence map›Paper›PMID 21119890›Full record

ArticleCurrent genomics2010

Microarray-based gene expression analysis of hepatocellular carcinoma.

Thorsten Maass, Ioannis Sfakianakis, Frank Staib, Markus Krupp, Peter R Galle, Andreas Teufel

Abstract read
In one paragraph

Article in Current genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. The Curious Case of the HepG2 Cell Line: 40 Years of Expertise.International journal of molecular sciences · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. CellMinerHCC: a microarray-based expression database for hepatocellular carcinoma cell lines.Liver international : official journal of the International Association for the Study of the Liver · 2014
    Article
  11. Article
  12. Article
  13. Whole-transcriptome analysis of hepatocellular carcinoma.Medical oncology (Northwood, London, England) · 2013
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thorsten MaassDepartment of Medicine I, Johannes Gutenberg University, Mainz, Germany.
Ioannis Sfakianakis
Frank Staib
Markus Krupp
Peter R Galle
Andreas Teufel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarray studies have successfully shed light on various aspects of the molecular mechanisms behind the development of hepatocellular carcinoma (HCC), such as the identification of novel molecular subgroups and the genetic profiles associated with metastasis and venous invasion. These experiments, mainly comprising genome wide profiling, potentially represent the basis of novel targeted therapeutic strategies in HCC. In response, we summarize the multiple reported expression profiles in HCC associated with HCC development, novel subgroups, venous invasion and metastasis.

Indexed as

bioinformaticsHCConcogenomics.systems biology

Identifiers

PMID21119890
PMCPMC2930665

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.