Evidence map›Paper›PMID 29896199›Full record

ArticleFrontiers in immunology2018

Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8

Huoying Chen, Yao Chen, Hongbo Liu, Yi Que, Xing Zhang, Fang Zheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Metabolic landscapes in sarcomas.Journal of hematology & oncology · 2021
    Review
  5. Dexamethasone inhibits the proliferation of tumor cells.Cancer management and research · 2019
    Article
  6. IL-33 facilitates proliferation of colorectal cancer dependent on COX2/PGEJournal of experimental & clinical cancer research : CR · 2018
    Article
  7. 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

6 authors at 5 institutions in 1 country.

Huoying ChenDepartment of Laboratory Medicine, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Yao ChenMelanoma and Sarcoma Medical Oncology Unit, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hongbo LiuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Yi QueMelanoma and Sarcoma Medical Oncology Unit, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xing ZhangMelanoma and Sarcoma Medical Oncology Unit, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Fang ZhengDepartment of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Sun Yat-sen University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNGuilin Medical University · CNHuazhong University of Science and Technology · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft tissue sarcoma (STS) is a rare solid malignant cancer, and there are few effective treatment options for advanced disease. Cancer immunotherapy is a promising new strategy for STS treatment. IL-33 is a candidate cytokine for immunotherapy that can activate T lymphocytes and modulate antitumor immunity in some cancers. However, the expression and biological role of IL-33 in STS are poorly understood. In this study, we found that the expression of IL-33 and its receptor ST2 was decreased in STS using real-time PCR assays. By analyzing sarcoma data from The Cancer Genome Atlas, we found that higher transcriptional levels of IL-33 and ST2 were associated with a favorable outcome. There were positive correlations between the expression levels of ST2 and CD3E, CD4, CD8A, CD45RO, FOXP3, CD11B, CD33, and IFN-γ. Strong positive correlations between the expression of IFN-γ and CD3E and CD8A were also observed. Moreover, the expression levels of both IL-33 and ST2 were positively correlated with those of CD3E, CD8A, and chemokines that recruit CD8

Indexed as

AdultCD8-Positive T-LymphocytesDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansImmunotherapyInterleukin-1 Receptor-Like 1 ProteinInterleukin-33MaleMyeloid-Derived Suppressor CellsNeoplasm ProteinsSarcomaSurvival RateT-Lymphocytes, RegulatoryIL1RL1 protein, humanIL33 protein, humanInterleukin-1 Receptor-Like 1 ProteinInterleukin-33Neoplasm ProteinsIFN-γIL-33soft tissue sarcomaST2TGF-β1

Identifiers

PMID29896199
PMCPMC5986931
OpenAlexW2802858515

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.