Evidence map›Paper›PMID 27751354›Full record

ArticleCancer genetics2016

Mutant TP53 disrupts age-related accumulation patterns of somatic mutations in multiple cancer types.

Wensheng Zhang, Erik K Flemington, Kun Zhang

Abstract read
In one paragraph

Article in Cancer genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 12 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

3 authors at 2 institutions in 1 country.

Wensheng ZhangDepartment of Computer Science, Xavier University of Louisiana, New Orleans, LA, USA.
Erik K FlemingtonTulane Cancer Center, Tulane University, New Orleans, LA, USA.
Kun ZhangDepartment of Computer Science, Xavier University of Louisiana, New Orleans, LA, USA. Electronic address: kzhang@xula.edu.
Xavier University of Louisiana · USTulane University · US

Funding

Xavier's RCMI Cancer Research ProgramG12MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI D'AMOUR, GENE, WANG, GUANGDI · 2012 to 2018
$15.7M
Epstein Barr virus antisense transcriptionR01AI106676 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI FLEMINGTON, ERIK K · 2014 to 2018
$1.9M
Intercellular communication in Epstein Barr virus reactivationR01AI101046 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI FLEMINGTON, ERIK K · 2012 to 2016
$1.9M
NIAID NIH HHS R01 AI101046NIAID NIH HHS R01 AI106676NIMHD NIH HHS G12 MD007595
6 · The paper itself

Abstract

Most cancers are driven by somatic mutations in proto-oncogenes and tumor suppressor genes. Genetic changes in a tumor may accumulate in the tissue self-renewal phase prior to neoplasm. The risk of sporadic mutations increases with age. In this regard, a positive association between patient age and the accumulated mutation burden in tumors exists for many cancer types. However, the reported lines of evidence for such a connection are still limited. TP53 is the most frequently mutated cancer gene. The encoded p53 protein plays crucial roles in DNA repair. Hereby, we speculate that mutant TP53 can disrupt the age-related accumulation patterns of somatic mutations in tumors. We performed linear model analysis on the clinically-annotated genomic data published by TCGA. We found that there was a significant interaction between TP53 genotype (mutant versus wild-type) and patient age at the initial clinical date on somatic mutation burden for five cancers. That is, the regression coefficients of mutation burden on patient age were significant (p < 0.05) for TP53 wild-type tumors but not the mutant counterparts. This disparity was further verified by comparing the group-specific regression coefficients. This finding confirmed our hypothesis and provided unique insights into p53-related tumorigenesis such as the potential temporal order of driver mutations.

Indexed as

MutationHumansNeoplasmsTumor Suppressor Protein p53Tumor Suppressor Protein p53age-related patternslinear modelsmultiple cancer typessomatic mutationsTP53

Identifiers

PMID27751354
PMCPMC5466170
OpenAlexW2468193388

What OpenQuestion holds

Textmetadata
LicenceTDM
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.