Evidence map›Paper›PMID 18525342›Full record

ReviewCurrent opinion in oncology2008

Linking molecular classification of hepatocellular carcinoma and personalized medicine: preliminary steps.

Augusto Villanueva, Sara Toffanin, Josep M Llovet

Abstract readReview
In one paragraph

Review in Current opinion in oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Hepatocellular carcinoma: signaling pathways and therapeutic advances.Signal transduction and targeted therapy · 2025
    Review
  3. New and Old Key Players in Liver Cancer.International journal of molecular sciences · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Negative feedback of miR-29 family TET1 involves in hepatocellular cancer.Medical oncology (Northwood, London, England) · 2014
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. New strategies in hepatocellular carcinoma: genomic prognostic markers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2010
    Article
  19. Article
  20. Review
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.

Augusto VillanuevaBCLC Group, Liver Unit, CIBERehd, IDIBAPS, Hospital Clinic, Barcelona, Spain.
Sara Toffanin
Josep M Llovet

Funding

Integrative genomic analysis in hepatocellular carcinomaR01DK076986 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LLOVET, JOSEP M · 2007 to 2011
$1.3M
NIDDK NIH HHS 1R01DK076986-01NIDDK NIH HHS R01 DK076986
6 · The paper itself

Abstract

purpose of reviewThe development of high-throughput technologies able to simultaneously investigate thousands of genes (e.g. single nucleotide polymorphism-array, gene expression microarray, etc.) has opened a new era in translational research. Obtaining a molecular classification of hepatocellular carcinoma, however, remains a striking challenge. This review summarizes the molecular classifications of hepatocellular carcinoma reported so far, analyzes the status of targeted therapies tested in clinical trials, and evaluates feasibility of personalized medicine approaches in hepatocellular carcinoma. RECENT

findingsDifferent investigators attempted to classify patients according to their liver cancer molecular background, a feature that will path the way for trial enrichment and personalized medicine. Currently, hepatocellular carcinoma can be classified in molecular classes according to Wnt-beta-catenin pathway activation, proliferation signature activation (associated with chromosomal instability), and other subgroups. In parallel, the first-time-ever positive results of a phase III trial in advanced hepatocellular carcinoma with the multikinase inhibitor sorafenib have encouraged this approach. SUMMARY: Selection of patient candidates according to their tumor molecular background is a reality in human malignancies. Thus, a molecular classification is essential to allow the development of new targets, and to customize therapies in patients with hepatocellular carcinoma.

Indexed as

Genes, NeoplasmPersonal Health ServicesCarcinoma, HepatocellularClinical MedicineGene Expression ProfilingHumansLiver NeoplasmsMicroarray AnalysisNeoplasm ProteinsNeoplasm Proteins

Identifiers

PMID18525342
PMCPMC3678124

What OpenQuestion holds

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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.