Evidence map›Paper›PMID 28588787›Full record

ArticleMolecular and clinical oncology2017

Allogenic natural killer cell immunotherapy of sizeable ovarian cancer: A case report.

Silun Xie, Jibing Chen, Mingjiie Zhang, Zhengyi Wu

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Silun XieShenzhen Hank Bioengineering Institute, Shenzhen, Guangdong 518004, P.R. China.
Jibing ChenCancer Institute of Fuda Cancer Hospital, Jinan University School of Medicine, Guangzhou, Guangdong 510665, P.R. China.
Mingjiie ZhangShenzhen Hank Bioengineering Institute, Shenzhen, Guangdong 518004, P.R. China.
Zhengyi WuShenzhen Hank Bioengineering Institute, Shenzhen, Guangdong 518004, P.R. China.
Shenzhen Hanke Bioengineering (China) · CNFuda Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Masses are often detected in the abdomen of patients with sizeable ovarian cancer. There are currently no effective treatments available for late-stage ovarian cancer. Immunotherapy is gaining increasing attention worldwide in the clinical setting due to its ability to eliminate tumor cells and its favorable toxicity profile. We herein report the case of a 60-year-old woman who received allogenic natural killer (NK) cell immunotherapy for a sizeable ovarian carcinoma and achieved a noteworthy response. NK cells were isolated from the donor's peripheral blood mononuclear cells, and the cell numbers were increased to 8-10 billion [corrected]. The activated cells were expanded ex vivo for 14 days prior to intravenous infusion. After six infusions of NK cell therapy >3 months, the level of carbohydrate antigen 125 decreased significantly (from 11,270 to 580 U/ml). Furthermore, the size of the masses in the abdomen was markedly reduced. Overall, the treatment had few adverse effects and it prolonged patient survival. The present data and the patient response suggest that allogenic NK cell immunotherapy is a promising approach for ovarian cancer, with few treatment-related adverse effects. The patient received six intravenous infusions of allogenic HANK cells between March, 2015 and June, 2015, but discontinued in October, 2015 and succumbed to the disease in March, 2016 following relapse.

Indexed as

allogenic immunotherapyhigh activity natural killer cellshigh purity natural killer cellshigh quanity natural killer cellsmassive ascitesovarian cancer

Identifiers

PMID28588787
PMCPMC5451867
OpenAlexW2608119321

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.