Evidence map›Paper›PMID 26877890›Full record

ArticleJournal of clinical & cellular immunology2015

Immune-based Therapy Clinical Trials in Hepatocellular Carcinoma.

Dai Liu, Kevin F Staveley-O'Carroll, Guangfu Li

Abstract read
In one paragraph

Article in Journal of clinical & cellular immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Development of inCVAX,Journal of clinical & cellular immunology · 2016
    Article
  16. 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.

Dai LiuDepartment of Surgery, Medical University of South Carolina, Charleston, SC 29425, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA.
Kevin F Staveley-O'CarrollDepartment of Surgery, University of Missouri, Columbia, MO 65212, USA; Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO 65212, USA; Ellis Fischel Cancer Center, University of Missouri, Columbia, MO 65212, USA.
Guangfu LiDepartment of Surgery, Medical University of South Carolina, Charleston, SC 29425, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA.

Funding

An Orthotopic Murine Model of HCC: Immunotolerance and PreventionR01CA164335 · NCI · UNIVERSITY OF MISSOURI-COLUMBIA · PI STAVELEY-O'CARROLL, KEVIN FINNBAR · 2012 to 2016
$1.5M
NCI NIH HHS R01 CA164335
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related mortality and continues to increase. Current standard of care for patients with HCC only provides limited therapeutic benefit. Development of innovative strategies is urgently needed. Experience with immunotherapy in HCC is quite early, but rapidly rise in the recent 15 years. Multifaceted immune-based approaches have shown efficacy in achieving disease regression, representing the most promising new treatment approach. Here, we classify the ongoing or completed clinical trials in HCC in terms of the immune strategies to be used and assess their clinical outcomes. The generated information may be helpful in the design of future immune-based therapies for achieving ideal tumor control and maximizing anti-tumor immunity.

Indexed as

Adoptive immunotherapyChemoimmunotherapyClinical trialHepatocellular carcinoma (HCC)Immune checkpointImmunotherapyVaccination

Identifiers

PMID26877890
PMCPMC4750497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.