Evidence map›Paper›PMID 32642296›Full record

ArticleAmerican journal of cancer research2020

Inflammation suppression prevents tumor cell proliferation in a mouse model of thyroid cancer.

Sunmi Park, Minjun Kim, Jack Zhu, Woo Kyung Lee, Grégoire Altan-Bonnet, Paul Meltzer, Sheue-Yann Cheng

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Targeted SPP1 Inhibition of Tumor-Associated Myeloid Cells Effectively Decreases Tumor Sizes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

7 authors at 1 institution in 1 country.

Sunmi ParkLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD 20892, Maryland, USA.
Minjun KimLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD 20892, Maryland, USA.
Jack ZhuLaboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD 20892, Maryland, USA.
Woo Kyung LeeLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD 20892, Maryland, USA.
Grégoire Altan-BonnetCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD 20892, Maryland, USA.
Paul MeltzerLaboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD 20892, Maryland, USA.
Sheue-Yann ChengLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD 20892, Maryland, USA.
National Cancer Institute · US

Funding

Cancer Genomics Technology DevelopmentZIABC011091 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MELTZER, PAUL S. · 2009 to 2025
$16.9M
6 · The paper itself

Abstract

The incidence of thyroid cancer, the most frequent endocrine neoplasia, is rapidly increasing. Significant progress has recently been made in the identification of genetic lesions in thyroid cancer; however, whether inflammation contributes to thyroid cancer progression remains unknown. Using a mouse model of aggressive follicular thyroid cancer (FTC;

Indexed as

colony-stimulating factor 1 receptorCSF1R inhibitors thyroid cancerInflammationmonocytesmouse modelpexidartinib (PLX-3397)

Identifiers

PMID32642296
PMCPMC7339265
OpenAlexW3040756425

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.