Evidence map›Paper›PMID 29025424›Full record

ArticleJournal of translational medicine2017

Understanding immune phenotypes in human gastric disease tissues by multiplexed immunohistochemistry.

Le Ying, Feng Yan, Qiaohong Meng, Xiangliang Yuan, Liang Yu, Bryan R G Williams, David W Chan, Liyun Shi, Yugang Tu, Peihua Ni and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

  1. Gastric Cancer Genetics and Its Implications for Diagnosis, Prognosis, and Treatment of the Disease.The Korean journal of helicobacter and upper gastrointestinal research · 2024
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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

13 authors at 9 institutions in 4 countries.

Le YingFaculty of Medical Laboratory Science, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, 227 Chongqing Road South, Shanghai, 200025, China.
Feng YanFaculty of Medical Laboratory Science, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, 227 Chongqing Road South, Shanghai, 200025, China.
Qiaohong MengInstitute of Ageing Research, Hangzhou Normal University School of Medicine, Hangzhou, China.
Xiangliang YuanFaculty of Medical Laboratory Science, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, 227 Chongqing Road South, Shanghai, 200025, China.
Liang YuDepartment of General Surgery, Shanghai Jiao Tong University Affiliated First People's Hospital, Shanghai, China.
Bryan R G WilliamsHudson Institute of Medical Research, Department of Molecular and Translational Science, Monash University, Clayton, VIC, Australia.
David W ChanDepartment of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, P. R. China.
Liyun ShiDepartment of Microbiology and Immunology, Nanjing University of Chinese Medicine, Nanjing, 210046, China.
Yugang TuCell Signaling Technology, Inc., Asia Pacific, Danvers, USA.
Peihua NiFaculty of Medical Laboratory Science, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, 227 Chongqing Road South, Shanghai, 200025, China.
Xuefeng WangDepartment of Laboratory Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Dakang XuFaculty of Medical Laboratory Science, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, 227 Chongqing Road South, Shanghai, 200025, China. dakang.xu@monash.edu.
Yiqun HuFaculty of Medical Laboratory Science, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, 227 Chongqing Road South, Shanghai, 200025, China. ichunhu@126.com.
Ruijin Hospital · CNMonash University · AUCell Signaling Technology (United States) · USHangzhou Normal University · CNNanjing University of Chinese Medicine · CNShanghai First People's Hospital · CNShanghai Jiao Tong University · CNUniversity of Hong Kong · HKZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding immune phenotypes and human gastric disease in situ requires an approach that leverages multiplexed immunohistochemistry (mIHC) with multispectral imaging to facilitate precise image analyses.

methodsWe developed a novel 4-color mIHC assay based on tyramide signal amplification that allowed us to reliably interrogate immunologic checkpoints, including programmed death-ligand 1 (PD-L1), cytotoxic T cells (CD8

resultsWe found that PD-L1 was expressed in gastric ulcer and in tumor cells (TCs), as well as in tumor-infiltrating immune cells (TIICs), but not in normal gastric mucosa or other gastric intraepithelial neoplastic tissues. Furthermore, we found no significant reduction in CD8

conclusionsCharacterizing immune phenotypes in human gastric disease tissues via multiplexed immunohistochemistry may help guide PD-L1 clinical therapy. Observing unique disease tissue microenvironments can improve our understanding of immune phenotypes and cell interactions within these microenvironments, providing the ability to predict safe responses to immunotherapies.

Indexed as

B7-H1 AntigenCD8-Positive T-LymphocytesForkhead Transcription FactorsHumansImmunohistochemistryPhenotypeStomach DiseasesB7-H1 AntigenCD274 protein, humanForkhead Transcription FactorsFOXP3 protein, humanHuman gastric diseaseImmune phenotypesMultiplexed immunohistochemistry

Identifiers

PMID29025424
PMCPMC5639762
OpenAlexW2762807930

What OpenQuestion holds

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LicenceCC BY
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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.