Evidence map›Paper›PMID 25627006›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Combined therapy with CTL cells and oncolytic adenovirus expressing IL-15-induced enhanced antitumor activity.

Yang Yan, Songyan Li, Tingting Jia, Xiaohui Du, Yingxin Xu, Yunshan Zhao, Li Li, Kai Liang, Wentao Liang, Huiwei Sun and 1 more

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed, 44 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

11 authors at 1 institution in 1 country.

Yang YanGeneral Surgery Department, Chinese PLA General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, People's Republic of China.
Songyan Li
Tingting Jia
Xiaohui Du
Yingxin Xu
Yunshan Zhao
Li Li
Kai Liang
Wentao Liang
Huiwei Sun
Rong Li
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addition of immunoregulation factor to an oncolytic adenovirus being constructed is a developmental step in tumor gene therapy; however, cytokine IL-15 has not been frequently used as a potential cancer therapy agent. Here, we constructed an E2F-1 promoter oncolytic adenovirus based on type 5 adenovirus, which induces viral replication and proliferation in targeted tumor cells. We inserted the IL-15 gene into the E3 region of the model and found that human IL-15 expressing oncolytic adenovirus (Ad-E2F/IL15) shows a more intense antitumor effect than simple oncolytic viruses (Ad-E2F) do. Precisely because IL-15 can activate natural killer (NK) cells, CD8(+)T cells, and other immune cells, in antitumor therapy, Ad-E2F/IL15 was used in combination with cytotoxic T lymphocytes (CTL) to create a virus that can induce IL-15 gene expression while lysing tumors and stimulating the activity and function of adoptive immune cells. The therapeutic effect of this therapy is clearly stronger than that of a single application of oncolytic viruses or CTL, and hence, it could be a potential new tumor therapy.

Indexed as

Oncolytic VirotherapyAdaptive ImmunityAdenoviridaeCell Line, TumorColonic NeoplasmsGene Expression RegulationGenetic VectorsHumansInterleukin-15Killer Cells, NaturalLymphocyte ActivationOncolytic VirusesT-Lymphocytes, CytotoxicVirus ReplicationXenograft Model Antitumor AssaysInterleukin-15

Identifiers

PMID25627006
OpenAlexW1993515057

What OpenQuestion holds

Textmetadata
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.