Evidence map›Paper›PMID 26420960›Full record

ReviewWorld journal of gastroenterology2015

Predictive biomarkers of sorafenib efficacy in advanced hepatocellular carcinoma: Are we getting there?

Yu-Yun Shao, Chih-Hung Hsu, Ann-Lii Cheng

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Function of the HGF/c-Met Axis in Hepatocellular Carcinoma.Frontiers in cell and developmental biology · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. European journal of nuclear medicine and molecular imaging · 2018
    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.

Yu-Yun ShaoYu-Yun Shao, Chih-Hung Hsu, Ann-Lii Cheng, Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei 10051, Taiwan.
Chih-Hung HsuYu-Yun Shao, Chih-Hung Hsu, Ann-Lii Cheng, Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei 10051, Taiwan.
Ann-Lii ChengYu-Yun Shao, Chih-Hung Hsu, Ann-Lii Cheng, Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei 10051, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorafenib is the current standard treatment for advanced hepatocellular carcinoma (HCC), but its efficacy is modest with low response rates and short response duration. Predictive biomarkers for sorafenib efficacy are necessary. However, efforts to determine biomarkers for sorafenib have led only to potential candidates rather than clinically useful predictors. Studies based on patient cohorts identified the potential of blood levels of angiopoietin-2, hepatocyte growth factor, insulin-like growth factor-1, and transforming growth factor-β1 for predicting sorafenib efficacy. Alpha-fetoprotein response, dynamic contrast-enhanced magnetic resonance imaging, and treatment-related side effects may serve as early surrogate markers. Novel approaches based on super-responders or experimental mouse models may provide new directions in biomarker research. These studies identified tumor amplification of FGF3/FGF4 or VEGFA and tumor expression of phospho-Mapk14 and phospho-Atf2 as possible predictive markers that await validation. A group effort that considers various prognostic factors and proper collection of tumor tissues before treatment is imperative for the success of future biomarker research in advanced HCC.

Indexed as

Antineoplastic AgentsBiomarkers, TumorCarcinoma, HepatocellularDiagnostic ImagingHumansLiver NeoplasmsNiacinamidePhenylurea CompoundsPredictive Value of TestsProtein Kinase InhibitorsRisk FactorsSorafenibTreatment OutcomeAntineoplastic AgentsBiomarkers, TumorNiacinamidePhenylurea CompoundsProtein Kinase InhibitorsSorafenibHepatocellular carcinomaPredictive markerPrognosisSorafenib

Identifiers

PMID26420960
PMCPMC4579880

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.