Evidence map›Paper›PMID 34747156›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

An Inter-Supplementary Biohybrid System Based on Natural Killer Cells for the Combinational Immunotherapy and Virotherapy of Cancer.

Li Ding, Qingqing Gao, Zhuobin Xu, Liangliang Cai, Sujuan Chen, Xinyue Zhang, Peng Cao, Gang Chen

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Reprogramming natural killer cells for cancer therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  11. Review
  12. Review
  13. Review
  14. NK cell-based tumor immunotherapy.Bioactive materials · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. 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

8 authors at 2 institutions in 1 country.

Li DingCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China.
Qingqing GaoCollege of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China.
Zhuobin XuInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China.
Liangliang CaiInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China.
Sujuan ChenCollege of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China.
Xinyue ZhangCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China.
Peng CaoAffiliated Hospital of Integrated Traditional Chinese and Western Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210023, P. R. China.
Gang ChenCollege of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, 225009, P. R. China.ORCID 0000-0002-1368-5681
Yangzhou University · CNNanjing University of Chinese Medicine · CN

Funding

China Postdoctoral Science Foundation 2019M661956&2020T130561General and Special FinancialNational Key R&D Program of China 2016YFD0500202National Natural Science Foundation of China 31900993National Natural Science Foundation of China 81802765Natural Science Foundation of Jiangsu Province for Young Scientists BK20160478Postdoctoral Science Foundation Funded Project of Jiangsu Province 2019K066Priority Academic Program Development of Jiangsu Higher Education InstitutionsStart-up Fund provided by Yangzhou University 5020/137011461
6 · The paper itself

Abstract

Oncolytic adenoviruses (Ads) have gained great attention in cancer therapy because they cause direct cytolytic infection and indirectly induce antitumor immunity. However, their efficacy is compromised by host antiviral immune response, poor tumor delivery, and the immunosuppressive tumor microenvironment (TME). Here, a natural killer (NK) cell-mediated Ad delivery system (Ad@NK) is generated by harnessing the merits of the two components for combinational immunotherapy and virotherapy of cancer. In this biohybrid system, NK cells with a tumor-homing tropism act as bioreactors and shelters for the loading, protection, replication, amplification, and release of Ads, thereby leading to a highly efficient systemic tumor-targeted delivery. As feedback, Ad infection offers NK cells an enhanced antitumor immunity by activating type I interferon signaling in a STAT4-granzyme B-dependent manner. Moreover, it is found that the Ad@NK system can relieve immunosuppression in the TME by promoting the maturation of dendritic cells and the polarization of macrophages to M1 phenotype. Both in vitro and in vivo data indicate the excellent antitumor and antimetastatic functions of Ad@NKs by destroying tumor cells, inducing immunogenic cell death, and immunomodulating TME. This work provides a clinical basis for improved oncolytic virotherapy in combination with NK cell therapy based on the inter-supplementary biohybrid system.

Indexed as

AnimalsAntineoplastic AgentsBreast NeoplasmsDisease Models, AnimalDrug Therapy, CombinationFemaleHumansImmunologic FactorsImmunotherapyKiller Cells, NaturalMiceMice, Inbred BALB COncolytic VirotherapyTumor MicroenvironmentAntineoplastic AgentsImmunologic Factorsanticancer immunitycell carriersnatural killer cellsoncolytic adenovirustumor-targeted delivery

Identifiers

PMID34747156
PMCPMC8805568
OpenAlexW3214275138

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.