Evidence map›Paper›PMID 38050344›Full record

ArticleCancer science2024

Regulation of the innate immune response and gut microbiome by p53.

Amy Hui Ping Khor, Tomoyuki Koguchi, Hao Liu, Masanori Kakuta, Daisuke Matsubara, Ruimeng Wen, Yoji Sagiya, Seiya Imoto, Hidewaki Nakagawa, Koichi Matsuda and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 7 institutions in 2 countries.

Amy Hui Ping KhorLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato City, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2132-6726
Tomoyuki KoguchiDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Hao LiuLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato City, Tokyo, Japan.
Masanori KakutaDepartment of Integrated Analytics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.
Daisuke MatsubaraDepartment of Pathology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Ruimeng WenLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato City, Tokyo, Japan.
Yoji SagiyaLaboratory of Genome Technology, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato City, Tokyo, Japan.
Seiya ImotoDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato City, Tokyo, Japan.
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID https://orcid.org/0000-0003-1807-772X
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato City, Tokyo, Japan.
Chizu TanikawaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato City, Tokyo, Japan.
The University of Tokyo · JPNew York Genome Center · USFukushima Medical University · JPRIKEN Center for Integrative Medical Sciences · JPTokyo Medical and Dental University · JPTokyo Medical University · JPUniversity of Tsukuba · JP

Funding

This research was supported by AMED under Grant Number JP19km0405215h0001This research was supported by AMED under Grant Number JP21ck0106693h0001This research was supported by AMED under Grant Number JP21cm0106578This research was supported by AMED under Grant Number JP22zf0127009This research was supported by AMED under Grant Number JP233fa627011This research was supported by AMED under Grant Number JP23ck0106642This research was supported by AMED under Grant Number JP23tm0624002This study was supported by grants from the Takeda Science Foundation, the Hirose Foundation, and an academic scholarship from the Japan International Cooperation Agency.This work was supported by JSPS KAKENHI Grant Number JP16H02676This work was supported by JSPS KAKENHI Grant Number JP19K22525
6 · The paper itself

Abstract

p53 is a key tumor suppressor mutated in half of human cancers. In recent years, p53 was shown to regulate a wide variety of functions. From the transcriptome analysis of 24 tissues of irradiated mice, we identified 553 genes markedly induced by p53. Gene Ontology (GO) enrichment analysis found that the most associated biological process was innate immunity. 16S rRNA-seq analysis revealed that Akkermansia, which has anti-inflammatory properties and is involved in the regulation of intestinal barrier integrity, was decreased in p53-knockout (p53

Indexed as

Gastrointestinal MicrobiomeImmunity, InnateTumor Suppressor Protein p53AnimalsHumansLiver NeoplasmsMannose-Binding LectinMiceMice, KnockoutRNA, Ribosomal, 16SMannose-Binding LectinMBL2 protein, humanRNA, Ribosomal, 16STrp53 protein, mouseTumor Suppressor Protein p53gastrointestinal microbiomeinnate immunitylipocalin 2mannose-binding lectin 2p53

Identifiers

PMID38050344
PMCPMC10823282
OpenAlexW4389345839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.