Evidence map›Paper›PMID 25711417›Full record

ArticleCancer science2015

Human leukocyte antigen-E alleles and expression in patients with serous ovarian cancer.

Hui Zheng, Renquan Lu, Suhong Xie, Xuemei Wen, Hongling Wang, Xiang Gao, Lin Guo

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  15. NK Cell-Based Immune Checkpoint Inhibition.Frontiers in immunology · 2020
    Review
  16. The genetic contribution ofAnnals of translational medicine · 2019
    Article
  17. Dimorphism of HLA-E and its Disease Association.International journal of molecular sciences · 2019
    Review
  18. Review
  19. Enhancing Natural Killer and CD8Monoclonal antibodies in immunodiagnosis and immunotherapy · 2019
    Review
  20. 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 2 institutions in 1 country.

Hui ZhengDepartment of Clinical Laboratory, Shanghai Cancer Center, Fudan University, Shanghai, China.
Renquan LuDepartment of Clinical Laboratory, Shanghai Cancer Center, Fudan University, Shanghai, China.
Suhong XieDepartment of Clinical Laboratory, Shanghai Cancer Center, Fudan University, Shanghai, China.
Xuemei WenDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Hongling WangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Xiang GaoDepartment of Clinical Laboratory, Shanghai Cancer Center, Fudan University, Shanghai, China.
Lin GuoDepartment of Clinical Laboratory, Shanghai Cancer Center, Fudan University, Shanghai, China.
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human leukocyte antigen-E (HLA-E) is one of the most extensively studied non-classical MHC class I molecules that is almost non-polymorphic. Only two alleles (HLA-E*0101 and HLA-E*0103) are found in worldwide populations, and suggested to be functional differences between these variants. The HLA-E molecule can contribute to the escape of cancer cells from host immune surveillance. However, it is still unknown whether HLA-E gene polymorphisms might play a role in cancer immune escape. To explore the association between HLA-E alleles and the susceptibility to serous ovarian cancer (SOC), 85 primary SOC patients and 100 healthy women were enrolled. Here, we indicated that high frequency of HLA-E*0103 allele existed in SOC patients by the allele-specific quantitative real-time PCR method. The levels of HLA-E protein expression in SOC patients with the HLA-E*0103 allele were higher than those with the HLA-E*0101 allele using immunohistochemistry analysis. The cell surface expression and functional differences between the two alleles were verified by K562 cells transfected with HLA-E*0101 or HLA-E*0103 allelic heavy chains. The HLA-E*0103 allele made the transfer of the HLA-E molecule to the cell surface easier, and HLA-E/peptides complex more stable. These differences ultimately influenced the function of natural killer cells, showing that the cells transfected with HLA-E*0103 allele inhibited natural killer cells to lysis. This study reveals a novel mechanism regarding the susceptibility to SOC, which is correlated with the HLA-E*0103 allele.

Indexed as

AdultAgedAsian PeopleCase-Control StudiesFemaleGene Expression Regulation, NeoplasticGene FrequencyGenetic Predisposition to DiseaseHistocompatibility Antigens Class IHLA-E AntigensHumansK562 CellsKiller Cells, NaturalMiddle AgedOvarian NeoplasmsReal-Time Polymerase Chain ReactionHistocompatibility Antigens Class IHLA-E AntigensAllelehuman leukocyte antigen-Enatural killer cellsserous ovarian cancerthermal stability

Identifiers

PMID25711417
PMCPMC4452152
OpenAlexW2063741903

What OpenQuestion holds

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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.