Evidence map›Paper›PMID 38886748›Full record

ArticleJournal of hematology & oncology2024

Remodeling of anti-tumor immunity with antibodies targeting a p53 mutant.

Dafei Chai, Junhao Wang, Chunmei Fan, Jing-Ming Lim, Xu Wang, Praveen Neeli, Xinfang Yu, Ken H Young, Yong Li

Abstract read
In one paragraph

Article in Journal of hematology & oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Tripartite motif containing 21 autoimmunity primes CD8Arthritis research & therapy · 2026
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  12. Expanding nucleic acid-encoded medicine.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    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

9 authors.

Dafei Chai *Department of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA. Dafei.Chai@bcm.edu.
Junhao Wang *Department of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Chunmei FanDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Jing-Ming LimDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Xu WangDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Praveen NeeliDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Xinfang YuDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Ken H YoungDepartment of Pathology, Division of Hematopathology, Duke University Medical Center, Durham, NC, USA.
Yong LiDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA. Yong.Li@bcm.edu.

Funding

Optimizing Syngeneic Mouse Models to Target Mutant p53R01CA278089 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Yong Li · 2023 to 2026
$2.4M
Cancer Prevention and Research Institute of Texas RR190043NCI NIH HHS R01 CA278089NIH HHS CA278089
6 · The paper itself

Abstract

backgroundp53, the most frequently mutated gene in cancer, lacks effective targeted drugs.

methodsWe developed monoclonal antibodies (mAbs) that target a p53 hotspot mutation E285K without cross-reactivity with wild-type p53. They were delivered using lipid nanoparticles (LNPs) that encapsulate DNA plasmids. Western blot, BLI, flow cytometry, single-cell sequencing (scRNA-seq), and other methods were employed to assess the function of mAbs in vitro and in vivo.

resultsThese LNP-pE285K-mAbs in the IgG1 format exhibited a robust anti-tumor effect, facilitating the infiltration of immune cells, including CD8

conclusionsTargeting specific mutant epitopes using DNA-encoded and LNP-delivered mAbs represents a potential precision medicine strategy against p53 mutants in TRIM21- or PIGR-positive cancers.

Indexed as

Antibodies, MonoclonalMutationTumor Suppressor Protein p53AnimalsCD8-Positive T-LymphocytesCell Line, TumorHumansMiceNanoparticlesNeoplasmsAntibodies, MonoclonalTP53 protein, humanTumor Suppressor Protein p53dIgAE285KIgG1Monoclonal antibodyMutant p53

Identifiers

PMID38886748
PMCPMC11184848

What OpenQuestion holds

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LicenceCC BY
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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.