Evidence map›Paper›PMID 28258440›Full record

ArticleMolecular and cellular biochemistry2017

Comprehensive characterization of genes associated with the TP53 signal transduction pathway in various tumors.

Shumpei Ohnami, Keiichi Ohshima, Takeshi Nagashima, Kenichi Urakami, Yuji Shimoda, Junko Saito, Akane Naruoka, Keiichi Hatakeyama, Tohru Mochizuki, Masakuni Serizawa and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular and cellular biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Targeting Lung Cancer Metabolism: Therapeutic Opportunities and Challenges.Advances in experimental medicine and biology · 2026
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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

13 authors at 2 institutions in 1 country.

Shumpei OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan. s.onami@scchr.jp.
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Takeshi NagashimaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Kenichi UrakamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Yuji ShimodaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Junko SaitoDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Akane NaruokaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Keiichi HatakeyamaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tohru MochizukiMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Masakuni SerizawaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Sumiko OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Masatoshi KusuharaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Ken YamaguchiShizuoka Cancer Center, Shizuoka, Japan.
Shizuoka Cancer Center · JPSRL (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The TP53 signal transduction pathway is an attractive target for cancer treatments. In this study, we conducted a comprehensive molecular evaluation of 907 patients with cancer in Japan to identify genomic alterations in the TP53 pathway. TP53 mutations were frequently detected in many cancers, except melanoma, thymic tumors, gastrointestinal stromal tumors, and renal cancers. The frequencies of non-synonymous single nucleotide variants (SNVs) in the TP53 family members TP63 and TP73 were relatively low, although genes with increased frequencies of SNVs were as follows: PTEN (11.7%) in breast cancer, CDKN2A (11.1 and 9.6%) in pancreas and head and neck cancers, and ATM (18.0 and 11.1%) in liver and esophageal cancers. MDM2 expression was decreased or increased in patients with mutant or wild-type TP53, respectively. CDKN1A expression was increased with mutant TP53 in head and neck cancers. Moreover, TP63 overexpression was characteristically observed in squamous cell carcinomas of the lung, esophagus, and head and neck region. Additionally, overexpression of TP63 and TP73 was frequently observed in thymomas. Our results reveal a spectrum of genomic alterations in the TP53 pathway that is characteristic of many tumor types, and these data may be useful in the trials of targeted therapies.

Indexed as

MutationPolymorphism, Single NucleotideAdultAgedAged, 80 and overAtaxia Telangiectasia Mutated ProteinsCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18FemaleGenome-Wide Association StudyHumansMaleMiddle AgedNeoplasmsOrgan SpecificityPTEN PhosphohydrolaseAtaxia Telangiectasia Mutated ProteinsATM protein, humanCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18PTEN PhosphohydrolasePTEN protein, humanTP53 protein, humanTumor Suppressor Protein p53CancerGene expression profilingJapanese populationTP53 pathwayWhole exome sequencing

Identifiers

PMID28258440
PMCPMC5487743
OpenAlexW2593811410

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.