Evidence map›Paper›PMID 37963443›Full record

ReviewPathobiology : journal of immunopathology, molecular and cellular biology2024

The Pathology according to p53 Pathway.

Yuichiro Hatano

Open access · greenAbstract readReview
In one paragraph

Review in Pathobiology : journal of immunopathology, molecular and cellular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Yuichiro HatanoDepartment of Pathology, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Osaka University of Pharmaceutical Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObservations play a pivotal role in the progress of science, including in pathology. The cause of a disease such as cancer is analyzed by breaking it down into smaller organs, tissues, cells, and molecules. The current standard cancer diagnostic procedure, microscopic observation, relies on preserved morphological characteristics. In contrast, molecular analyses explore oncogenic pathway activation that leads to genetic mutations and aberrant protein expression. Such molecular analyses could potentially identify therapeutic targets and has gained considerable attention in clinical oncology. SUMMARY: This review summarizes the cardinal biomarkers of the p53 pathway, p53, p16, and mouse double minute 2 (MDM2), in the context of traditional surgical pathology and emerging genomic oncology. The p53 pathway, which is dysregulated in more than a half of all cancers, can be applied in several diagnostic settings. A four-classification model of immunophenotype for p53 pathway gene status, tumor types with a high frequency of abnormalities for each p53 pathway gene, and a minimal p53 pathway immunohistochemical panel is also described. KEY MESSAGES: Immunohistochemistry of oncogenic signals should be interpreted according to molecular findings based on genomic oncology, in addition to the microscopic findings of diagnostic pathology.

Indexed as

NeoplasmsProto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53AnimalsBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16HumansImmunohistochemistryMiceMutationSignal TransductionBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16MDM2 protein, humanProto-Oncogene Proteins c-mdm2TP53 protein, humanTumor Suppressor Protein p53CancerImmunohistochemistryMouse double minute 2p16p53

Identifiers

PMID37963443
PMCPMC11313058
OpenAlexW4388661928

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.