Evidence map›Paper›PMID 29330617›Full record

ArticleMolecular genetics and genomics : MGG2018

Characterizing genomic differences of human cancer stratified by the TP53 mutation status.

Mengyao Wang, Chao Yang, Xiuqing Zhang, Xiangchun Li

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Disease association of human tumor suppressor genes.Molecular genetics and genomics : MGG · 2019
    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

4 authors at 2 institutions in 1 country.

Mengyao WangBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Chao YangBGI Genomics BGI-Shenzhen, Shenzhen, 518083, China.
Xiuqing ZhangBGI-Shenzhen, Shenzhen, 518083, China. zhangxq@genomics.cn.
Xiangchun LiBGI Genomics BGI-Shenzhen, Shenzhen, 518083, China. lixiangchun2014@foxmail.com.
BGI Group (China) · CNBGI Genomics

Funding

National Natural Science Foundation of China 81472553
6 · The paper itself

Abstract

The key roles of the TP53 mutation in cancer have been well established. TP53 is the most frequently mutated gene, and its inactivation is widespread among human cancer types. However, the landscape of genomic alterations in human cancers stratified by the TP53 mutation has not yet been described. We obtained somatic mutation and copy number change data of 6551 regular-mutated samples from the Cancer Genome Atlas (TCGA) and compared significantly mutated genes (SMGs), copy number alterations, mutational signatures and mutational strand asymmetries between cancer samples with and without the TP53 mutation. We identified 126 SMGs, 30 of which were statistically significant in both the TP53 mutant and wild-type groups. Several SMGs, such as VHL, SMAD4 and PTEN, showed a mutation bias towards the TP53 wild-type group, whereas ATRX, IDH1 and RB1 were more prevalent in the TP53 mutant group. Five mutational signatures were extracted from the combined TCGA dataset on which mutational asymmetry analysis was performed, revealing that the TP53 mutant group exhibited substantially greater replication and transcription biases. Furthermore, we found that alterations of multiple genes in a merged mutually exclusive network composed of BRAF, EGFR, PAK1, PIK3CA, PTEN, APC and TERT were related to shortened survival in the TP53 wild-type group. In summary, we characterized the genomic differences and similarities underlying human cancers stratified by the TP53 mutation and identified multi-gene alterations of a merged mutually exclusive network to be a poor prognostic factor for the TP53 wild-type group.

Indexed as

Gene Regulatory NetworksMutationCell SurvivalDatabases, GeneticDNA Copy Number VariationsDNA Mutational AnalysisGenetic Predisposition to DiseaseHumansNeoplasmsTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53Mutational signatureMutually exclusivitySignificantly mutated genesTP53 mutation

Identifiers

PMID29330617
OpenAlexW2782893576

What OpenQuestion holds

Textmetadata
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.