Evidence map›Paper›PMID 36705409›Full record

ArticleImmunity, inflammation and disease2023

Epitope identification for p53R273C mutant.

Jian Zhang, Minglu Liu, Yin Chen, Zishan Zhou, Ping Wang, Yang Yu, Shunchang Jiao

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

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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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Epitope identification for p53R273C mutant.Immunity, inflammation and disease · 2023
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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

7 authors at 3 institutions in 1 country.

Jian ZhangSchool of Medicine, Nankai University, Tianjin, China.ORCID 0000-0001-8516-8651
Minglu LiuDepartment of Oncology, Oncology Laboratory, Chinese PLA General Hospital, Beijing, China.
Yin ChenResearch and Development Department, Beijing DCTY Biotech Co., Ltd., Beijing, People's Republic of China.
Zishan ZhouResearch and Development Department, Beijing DCTY Biotech Co., Ltd., Beijing, People's Republic of China.
Ping WangResearch and Development Department, Beijing DCTY Biotech Co., Ltd., Beijing, People's Republic of China.
Yang YuResearch and Development Department, Beijing DCTY Biotech Co., Ltd., Beijing, People's Republic of China.
Shunchang JiaoSchool of Medicine, Nankai University, Tianjin, China.
Sinovac Biotech · CNNankai University · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rise of immunotherapy based on cancer neoantigen, identification of neoepitopes has become an urgent problem to be solved. The TP53 R273C mutation is one of the hotspot mutations of TP53, however, the immunogenicity of this mutation is not yet clear. The aim of this study is to identify potential epitopes for p53R273C mutant.

methodsIn this study, bioinformatic methods, peptide exchange assay, and peptide-immunized human leukocyte antigen (HLA) transgenic mouse model were used to explore the immunogenicity of this mutation.

resultsPeptides with higher affinity to common HLA-A alleles (A*11:01, A*02:01) were discovered by computational prediction. All the 8-11 mer peptides contain the mutation site were synthesized and soluble peptides were used in the peptide exchange assay. However, the exchange efficiencies of these predicted peptides to HLAs were lower. Fortunately, other peptides with higher exchange efficiency were discovered. Then, the immunogenicity of these peptides was validated with the HLA-A2 transgenic mice model.

conclusionWe identified three potential neoepitopes of p53

Indexed as

Antigens, NeoplasmNeoplasmsTumor Suppressor Protein p53AnimalsEpitopesHLA AntigensHumansMiceMice, TransgenicPeptidesAntigens, NeoplasmEpitopesHLA AntigensPeptidesTumor Suppressor Protein p53immunogenicityimmunotherapyneoantigenTP53 R273C mutation

Identifiers

PMID36705409
PMCPMC9761341
OpenAlexW4313402787

What OpenQuestion holds

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Registered trials

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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.