Evidence map›Paper›PMID 32763179›Full record

ArticleCell stem cell2020

A Fresh Approach to Targeting Aging Cells: CAR-T Cells Enhance Senolytic Specificity.

Joey H Li, Yvonne Y Chen

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell stem cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Translational Geroscience Strategies for Delaying Multimorbidity.ACS pharmacology & translational science · 2026
    Review
  3. The Role of Cellular Senescence in Oral Health and Disease.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Endothelial-specific Enhancer as a Cis Element ofCurrent pharmaceutical design · 2024
    Review
  11. The Roles of Myeloid Cells in Aging-related Liver Diseases.International journal of biological sciences · 2023
    Review
  12. Review
  13. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Joey H LiDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA; Parker Institute for Cancer Immunotherapy Center at UCLA, Los Angeles, CA 90095, USA; Medical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Yvonne Y ChenDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA; Parker Institute for Cancer Immunotherapy Center at UCLA, Los Angeles, CA 90095, USA. Electronic address: yvonne.chen@ucla.edu.

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
NCI NIH HHS P50 CA211015NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

Senescence is a critical factor in several diseases, yet senolytic therapies targeting senescent cells remain hindered by lack of specificity. In the June issue of Nature, Amor et al. (2020) develop chimeric antigen receptor (CAR)-T cells targeting uPAR, a novel senescent-cell marker, to treat liver adenocarcinoma and liver fibrosis.

Indexed as

Cellular SenescenceT-Lymphocytes

Identifiers

PMID32763179
PMCPMC7717659

What OpenQuestion holds

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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.