Evidence map›Paper›PMID 25914264›Full record

ReviewHepatology (Baltimore, Md.)2015

Myeloid cells in hepatocellular carcinoma.

Shanshan Wan, Ning Kuo, Ilona Kryczek, Weiping Zou, Theodore H Welling

Open access · greenAbstract readReview
In one paragraph

Review in Hepatology (Baltimore, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

98 citing papers in PubMed, 155 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

38 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Shanshan WanSection of Transplantation, University of Michigan, Ann Arbor, MI.
Ning KuoSection of Transplantation, University of Michigan, Ann Arbor, MI.
Ilona KryczekDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Weiping ZouDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Theodore H WellingSection of Transplantation, University of Michigan, Ann Arbor, MI.
University of Michigan–Ann Arbor · US

Funding

Effector T Cell Trafficking in Ovarian CancerR01CA190176 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZOU, WEIPING · 2015 to 2019
$2.6M
Memory T Cells in the Tumor MicroenvironmentR01CA152470 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZOU, WEIPING · 2011 to 2015
$1.9M
Immunosuppressive Network of Human Hepatocellular CarcinomaK08CA151414 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WELLING, THEODORE H · 2010 to 2014
$875k
NCI NIH HHS K08 CA151414NCI NIH HHS R01 CA152470NCI NIH HHS R01 CA190176
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is highly associated with inflammation. Myeloid cells, including tumor-associated macrophages and myeloid-derived suppressor cells, are abundant in the HCC microenvironment and are often associated with poor prognosis. Myeloid cells in HCC play a vital role in supporting tumor initiation, progression, angiogenesis, metastasis, and therapeutic resistance. Here, we summarize our current knowledge about myeloid cells in HCC and focus on their immune-suppressive activities and tumor-promoting functions, as well as the relevance to potential new therapies in HCC.

Indexed as

AnimalsCarcinoma, HepatocellularHumansImmune ToleranceLiver NeoplasmsMiceMyeloid Cells

Identifiers

PMID25914264
PMCPMC4589430
OpenAlexW2117920462

What OpenQuestion holds

Textmetadata
LicenceTDM
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.