Evidence map›Paper›PMID 31131189›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019

TLR1/2 Specific Small-Molecule Agonist Suppresses Leukemia Cancer Cell Growth by Stimulating Cytotoxic T Lymphocytes.

Xiaohong Cen, Gengzhen Zhu, Junjie Yang, Jianjun Yang, Jiayin Guo, Jiabing Jin, Kutty Selva Nandakumar, Wei Yang, Hang Yin, Shuwen Liu and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Harnessing innate immune pathways for therapeutic advancement in cancer.Signal transduction and targeted therapy · 2024
    Review
  8. Strategies for Overcoming Immune Evasion in Bladder Cancer.International journal of molecular sciences · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Toll-like Receptors and Thrombopoiesis.International journal of molecular sciences · 2023
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

11 authors.

Xiaohong CenGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.
Gengzhen ZhuGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.
Junjie YangGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.
Jianjun YangDepartment of Thoracic Surgery Nanfang Hospital Southern Medical University Guangzhou 510515 China.
Jiayin GuoGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.
Jiabing JinGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.
Kutty Selva NandakumarGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.
Wei YangDepartment of Pathology School of Basic Medical Sciences Department of Pathology Nanfang Hospital, and Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology Southern Medical University Guangzhou 510515 China.
Hang YinSchool of Pharmaceutical Sciences Tsinghua University-Peking University Joint Center for Life Sciences Tsinghua University Beijing 100082 China.
Shuwen LiuGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.
Kui ChengGuangdong Provincial Key Laboratory of New Drug Screening and Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment School of Pharmaceutical Sciences Southern Medical University Guangzhou 510515 China.ORCID https://orcid.org/0000-0002-4136-2070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptor 2 (TLR2) expressed on antigen presenting cells evokes a series of critical cytokines, which favor the development of tumor-specific cytotoxic T lymphocytes (CTLs). Therefore, TLR2 represents an attractive cancer immunotherapeutic target. Here, a synthetic library of 14 000 compounds together with a series of newly developed compounds for NF-κB activation using HEK-Blue hTLR2 cells is initially screened. Following further screening in a variety of cells including HEK-Blue hTLRs reporter cells, murine, and human macrophage cell lines, a potent small molecule agonist 23 (SMU-Z1) is identified, which specifically activates TLR2 through its association with TLR1, with a EC

Indexed as

agonistCD8+ TleukemiaToll‐like receptor 2 (TLR2)tumor immunity

Identifiers

PMID31131189
PMCPMC6523386

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.