Evidence map›Paper›PMID 22922789›Full record

ArticleCancer biology & therapy2012

The inhibitory effect of MSCs expressing TRAIL as a cellular delivery vehicle in combination with cisplatin on hepatocellular carcinoma.

Bo Zhang, Hong Shan, Dan Li, Zheng-Ran Li, Kang-Shun Zhu, Zai-Bo Jiang

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Stem Cell Therapy for Hepatocellular Carcinoma: Future Perspectives.Advances in experimental medicine and biology · 2020
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Bo ZhangMolecular Imaging Laboratory, Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. zhangbo19790616@163.com
Hong Shan
Dan Li
Zheng-Ran Li
Kang-Shun Zhu
Zai-Bo Jiang
Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has been demonstrated to induce cell apoptosis in many types of tumors, while many hepatocellular carcinoma (HCC) cells display high resistance to TRAIL. Another outstanding limitation of TRAIL is the short half-life in vivo. Stem cell-based therapies provide a promising approach for the treatment of many types of tumors because of the ability of tropism. Therefore, as a new therapeutic strategy, the combination of chemotherapeutic agents and TRAIL gene modified MSCs (TRAIL-MSCs) would improve the therapeutic efficacy of HCC in vivo. This is the first time to show the potential of combination of chemotherapeutic agents and MSCs as a gene vector in the therapy of HCC.

Indexed as

Carcinoma, HepatocellularMesenchymal Stem Cell TransplantationTNF-Related Apoptosis-Inducing LigandAnimalsAntineoplastic AgentsApoptosisCell Line, TumorCisplatinDrug Resistance, NeoplasmFlow CytometryGene Expression Regulation, NeoplasticGenetic TherapyHumansLiver NeoplasmsMesenchymal Stem CellsMiceAntineoplastic AgentsCisplatinTNF-Related Apoptosis-Inducing LigandTNFSF10 protein, human

Identifiers

PMID22922789
PMCPMC3469475
OpenAlexW2059690381

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.