Evidence map›Paper›PMID 16799622›Full record

ReviewOncogene2006

Proteomics for the early detection and treatment of hepatocellular carcinoma.

J T Feng, S Shang, L Beretta

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Proteome Analyses of Hepatocellular Carcinoma.Journal of clinical and translational hepatology · 2014
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

3 authors.

J T FengPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
S Shang
L Beretta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis for hepatocellular carcinoma (HCC) is poor and has not improved in recent years, largely owing to lack of early diagnosis, frequent recurrence after surgery and resistance to chemotherapy. Proteomics holds the promise of improving our understanding of HCC carcinogenesis and progression as well as of discovering novel diagnostics and therapeutics. Proteomic analyses of HCC cell lines, animal models and serum and tumor tissue from patients with HCC have been performed to date. Proteomic technologies have greatly improved in the past few years as reviewed here. It is anticipated that with the recent development of protein tagging, protein separation methods and mass spectrometry sensitivity, proteomic studies of HCC will allow the identification of diagnostic and prognostic biomarkers as well as therapeutic targets, which could greatly improve the clinical management of HCC patients.

Indexed as

ProteomicsAnimalsCarcinoma, HepatocellularHumansLiver Neoplasms

Identifiers

PMID16799622

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.