Evidence map›Paper›PMID 30116358›Full record

ArticleExperimental and therapeutic medicine2018

Natural killer cells inhibit metastasis of ovarian carcinoma cells and show therapeutic effects in a murine model of ovarian cancer.

Yanming Sun, Zhitao Yao, Zhihua Zhao, Haifeng Xiao, Mengting Xia, Xiaojun Zhu, Xuelu Jiang, Chuntao Sun

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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.

Yanming SunDepartment of Interventional Radiology, Weifang People's Hospital, Weifang, Shandong 261041, P.R. China.
Zhitao YaoDepartment of Nuclear Medicine, Weifang People's Hospital, Weifang, Shandong 261041, P.R. China.
Zhihua ZhaoDepartment of Nuclear Medicine, Weifang People's Hospital, Weifang, Shandong 261041, P.R. China.
Haifeng XiaoDepartment of Medical Oncology, Weifang People's Hospital, Weifang, Shandong 261041, P.R. China.
Mengting XiaDepartment of Gynecology, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, Zhejiang 310006, P.R. China.
Xiaojun ZhuDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310006, P.R. China.
Xuelu JiangDepartment of Gynecology, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, Zhejiang 310006, P.R. China.
Chuntao SunDepartment of Interventional Radiology, Weifang People's Hospital, Weifang, Shandong 261041, P.R. China.
Weifang People's Hospital · CNZhejiang Provincial Hospital of TCM · CNWomen's Hospital, School of Medicine, Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer has the highest mortality rate and is the most common of all gynecologic malignancies. Novel treatments for ovarian cancer are urgently required to improve outcomes and the overall survival of patients. The present study investigated whether immunotherapy with natural killer (NK) cells affected the survival of mice with ovarian cancer. Results analysis identified adjunctive NK cells as a potential therapeutic method in ovarian cancer. Patient-derived ovarian cells were isolated, cultured and subsequently injected subcutaneously into immune deficient BALB/c-nude mice. Human NK cells were isolated from peripheral blood mononuclear cells and cultured for expansion

Indexed as

immunotherapynatural killer cellsovarian cancertumor systemic metastasis

Identifiers

PMID30116358
PMCPMC6090205
OpenAlexW2808908503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.