Evidence map›Paper›PMID 31064389›Full record

ArticleJournal of translational medicine2019

Distribution and functions of γδ T cells infiltrated in the ovarian cancer microenvironment.

Xian Chen, Wenwen Shang, Rui Xu, Ming Wu, Xiaojie Zhang, Peijun Huang, Fang Wang, Shiyang Pan

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

37 citing papers in PubMed, 46 citations in OpenAlex.

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  10. Controversial role of γδ T cells in colorectal cancer.American journal of cancer research · 2024
    Review
  11. Article
  12. The emerging roles of γδ T cells in cancer immunotherapy.Nature reviews. Clinical oncology · 2023
    Review
  13. Circulating CD4Medicina (Kaunas, Lithuania) · 2023
    Article
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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

8 authors at 3 institutions in 1 country.

Xian ChenDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China.
Wenwen ShangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China.
Rui XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China.
Ming WuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China.
Xiaojie ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China.
Peijun HuangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China.
Fang WangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China. wangfang@njmu.edu.cn.
Shiyang PanDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 of Guangzhou Road, Nanjing, 210029, China. sypan@njmu.edu.cn.
Key Laboratory of Guangdong Province · CNNanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of γδ T cells, innate-like lymphocytes with unrestrained MHC, in various malignancies has recently been extensively studied. However, there is limited research regarding γδ T cells in ovarian cancer (OC) patients.

methodsHere, we investigated the distribution patterns of γδ T cells and their main subsets in peripheral blood and tumor tissues among OC patients, benign ovarian tumor (BOT) patients, and age-matched healthy controls (HC) by flow cytometry, as well as the expression levels of IFN-γ and IL-17A secreted from γδ T cells. Immunohistochemical staining was utilized to detect the numbers of γδ T cells and their main subsets in different types of ovarian tumor tissues. Additionally, we also investigated chemotaxis effects on γδ T cells, as well as their cytotoxic activity and proliferation.

resultsWe found that the percentages of γδ T cells and Vδ1 T cells were significantly higher in OC tissues than BOT tissues and normal (N) ovarian tissues, while there were no obvious differences in peripheral blood. Meanwhile, higher numbers of γδ T cells and Vδ1 T cells were observed in OC tissues, and were positively related to advanced clinicopathological features of OC patients. Further, the levels of IFN-γ secreted by γδ T cells were relatively lower, while IL-17A was expressed at a high level in both the peripheral blood and tissues of OC patients. Chemotaxis assay revealed that supernatants derived from OC tissues possessed a stronger capacity to attract and recruit γδ T cells. However, γδ T cells sorted from OC tissues showed weakened cytotoxic activity against ovarian cancer cells, and γδ T cells cocultured with OC tissue supernatants could effectively inhibit the proliferative activity of naïve CD4

conclusionsThese data suggested that γδ T cells might have critical roles in OC progression and potential utilization in treatment approaches or prognosis prediction.

Indexed as

Cell Line, TumorCytotoxicity, ImmunologicFemaleHumansImmunosuppression TherapyInterleukin-17Lymphocytes, Tumor-InfiltratingMiddle AgedOvarian NeoplasmsReceptors, Antigen, T-Cell, gamma-deltaTumor MicroenvironmentIL17A protein, humanInterleukin-17Receptors, Antigen, T-Cell, gamma-deltaCytotoxicity capacityImmunosuppressive activityOvarian cancerVδ1 T cellΓδ T cell

Identifiers

PMID31064389
PMCPMC6505080
OpenAlexW2947901241

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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.