Evidence map›Paper›PMID 30457360›Full record

ArticleHuman gene therapy2018

Synergistic Antitumor Effect on Bladder Cancer by Rational Combination of Programmed Cell Death 1 Blockade and CRISPR-Cas9-Mediated Long Non-Coding RNA Urothelial Carcinoma Associated 1 Knockout.

Shuai Zhen, Jiaojiao Lu, Wei Chen, Le Zhao, Xu Li

Open access · greenAbstract read
In one paragraph

Article in Human gene therapy, 2018. 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
1.6field-weighted citation impact, top 13% 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, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Targeting non-coding RNAs to overcome cancer therapy resistance.Signal transduction and targeted therapy · 2022
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Targeting the Immune system and Epigenetic Landscape of Urological Tumors.International journal of molecular sciences · 2020
    Review
  16. Review
  17. PD-1/PD-L1 pathway: current researches in cancer.American journal of cancer research · 2020
    Review
  18. Review
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

5 authors at 1 institution in 1 country.

Shuai Zhen1 Center for Translational Medicine, the First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, P.R. China.
Jiaojiao Lu1 Center for Translational Medicine, the First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, P.R. China.
Wei Chen3 Center of Laboratory Medicine, the First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, P.R. China.
Le Zhao1 Center for Translational Medicine, the First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, P.R. China.
Xu Li1 Center for Translational Medicine, the First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, P.R. China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted therapy produces objective responses in bladder cancer patients, although the responses can be short. Meanwhile, response rates to immune therapy are lower, but the effects are more durable. Based on these findings, it was hypothesized that urothelial carcinoma associated 1 (UCA1)-targeted therapy could synergize with programmed cell death 1 (PD-1) blockade to enhance antitumor activity. To test this hypothesis, the effects of CRISPR-Cas9 targeting of UCA1 and PD-1 were assessed in vitro and in vivo. It was found that gRNA/cas9-targeted UCA1 induced apoptosis of 5637 bladder cancer cells, whereas PD-1 gene knockout could be achieved by electroporation of gRNA/cas9 targeting PD-1, as detected by polymerase chain reaction. In 5637 cell-xenografted humanized SCID mice, stimulation with CRISPR-Cas9 systems, immune phenotypes, and cytokine expression of human dendritic cells (DCs) was detected by flow cytometry, and polymerase chain reaction, respectively. The results of these assays suggested that the gRNA/cas9 treatment upregulated expression of CD80, CD83, and CD86 and significantly increased interleukin (IL)-6, IL-12, and IL-23 and tumor necrosis factor alpha mRNA levels. Co-administration of anti-PD-1 and anti-UCA1 treatment suppressed tumor growth and markedly improved survival of 5637 xenografted mice. Additionally, the combination treatment increased interferon gamma production by T cells that subsequently enhanced the expression of Th1-associated immune-stimulating genes to reduce transcription of regulatory/suppressive immune genes and reshape the tumor microenvironment from an immunosuppressive to a stimulatory state. Finally, anti-UCA1 treatment was shown to induce interferon gamma-dependent programmed cell death ligand 1 expression within 5637 xenograft tumors in vivo. Together, these results demonstrate potent synergistic effects of a combination therapy using LncRNA UCA1-targeted therapy and immune checkpoint blockade of PD-1, thus supporting the translational potential of this combination strategy for clinical treatment of bladder cancer.

Indexed as

Gene Knockout TechniquesAnimalsAntineoplastic AgentsB7-H1 AntigenBase SequenceCell Line, TumorCRISPR-Associated Protein 9CRISPR-Cas SystemsCytokinesDendritic CellsGene Expression Regulation, NeoplasticGene TargetingHumansMice, SCIDRNA, Guide, CRISPR-Cas SystemsRNA, Long NoncodingAntineoplastic AgentsB7-H1 AntigenCRISPR-Associated Protein 9CytokinesRNA, Guide, CRISPR-Cas SystemsRNA, Long NoncodingUCA1 RNA, humancheckpoint blockadecombination therapyLncRNAPD-1targeted therapy

Identifiers

PMID30457360
PMCPMC12199628
OpenAlexW2901756871

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.