Evidence map›Paper›PMID 24762057›Full record

ArticleDiagnostic pathology2014

Inhibitory receptor immunoglobulin-like transcript 4 was highly expressed in primary ductal and lobular breast cancer and significantly correlated with IL-10.

Jie Liu, Linlin Wang, Wei Gao, Liwen Li, Xia Cui, Hongyan Yang, Wenli Lin, Qi Dang, Nan Zhang, Yuping Sun

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 47 citations in OpenAlex.

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  17. HLA-G Neo-Expression on Tumors.Frontiers in immunology · 2020
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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

10 authors at 2 institutions in 1 country.

Jie Liu
Linlin Wang
Wei Gao
Liwen Li
Xia Cui
Hongyan Yang
Wenli Lin
Qi Dang
Nan Zhang
Yuping SunDepartment of Oncology, Jinan Central Hospital, Shandong University, No,105, Jie Fang Road, Jinan, Shandong 250013, PR, China. sunyuping@live.cn.
Shandong University · CNJinan Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunoglobulin-like transcript 4 (ILT4) is an inhibitory molecule involved in immune response and has recently been identified to be strongly inducible by IL-10. The aim of the present study was to examine the associations of ILT4 expression with clinicopathological characteristics and IL-10 expression in primary ductal and lobular breast cancer.

methodsWe studied the expression of ILT4 in 4 cancer cell lines, 117 primary tumor tissues and 97 metastatic lymph nodes from patients with primary ductal and lobular breast cancer by reverse transcription-polymerase chain reaction, western blot or immunohistochemistry analysis. Additionally, IL-10 expression was also investigated using immunohistochemistry in primary tumor tissues. Then the relationship between ILT4 expression and clinicopathological characteristics/IL-10 expression was evaluated.

resultsILT4 was highly expressed in all 4 human breast cancer cell lines on both mRNA and protein levels. In primary tumor tissues, ILT4 or IL-10 was expressed in the cell membrane, cytoplasm, or both; the positive rate of ILT4 and IL-10 expression was 60.7% (71/117) and 80.34% (94/117), respectively. ILT4 level was significantly correlated with IL-10 (r =0.577; p<0.01). Furthermore, the expression of ILT4 or IL-10 was associated with less number of Tumor Infiltrating Lymphocytes (TILs) (p=0.004 and 0.018, respectively) and more lymph node metastasis (p=0.046 and 0.035, respectively).

conclusionOur data demonstrated the association of ILT4 and IL-10 expression in human breast cancer, suggesting their important roles in immune dysfunction and lymph node metastases. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1692652692107916.

Indexed as

AdultAgedBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleGene Expression Regulation, NeoplasticHumansInterleukin-10Lymphatic MetastasisLymphocytes, Tumor-InfiltratingMCF-7 CellsMembrane GlycoproteinsMiddle AgedReceptors, ImmunologicYoung AdultIL10 protein, humanInterleukin-10LILRB2 protein, humanMembrane GlycoproteinsReceptors, Immunologic

Identifiers

PMID24762057
PMCPMC4045966
OpenAlexW2097936938

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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.