Evidence map›Paper›PMID 29100333›Full record

ArticleOncotarget2017

Functional consequence of the p53 codon 72 polymorphism in colorectal cancer.

Venkat R Katkoori, Upender Manne, Lakshmi S Chaturvedi, Marc D Basson, Pam Haan, Daniel Coffey, Harvey L Bumpers

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
0.7field-weighted citation impact, top 27% 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, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. TP53 Codon 72 Polymorphism and the Risk of Colorectal Cancer in an Azerbaijani Population.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 4 institutions in 1 country.

Venkat R KatkooriDepartment of Surgery, Michigan State University, College of Human Medicine, Lansing, MI, USA.
Upender ManneDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Lakshmi S ChaturvediDepartment of Surgery, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, ND, USA.
Marc D BassonDepartment of Surgery, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, ND, USA.
Pam HaanDepartment of Surgery, Michigan State University, College of Human Medicine, Lansing, MI, USA.
Daniel CoffeyCapital Colorectal Surgery, Lansing, MI, USA.
Harvey L BumpersDepartment of Surgery, Michigan State University, College of Human Medicine, Lansing, MI, USA.
Michigan State University · USUniversity of North Dakota · USColorectal Surgical Associates · USUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe codon 72 polymorphism in p53 has been implicated in colorectal cancer (CRC) risk, prognosis and CRC health disparities. We examined the functional consequence of this polymorphism in CRC. EXPERIMENTAL

designPlasmids (pCMV6) that express different phenotypes of p53 [p53 wild type (wt) at codon 72 (R72

resultsThis study demonstrated a significantly increased survival of cells expressing P72

conclusionsP72 contributes to the aggressiveness of CRC. Because P72 is over-expressed in CRC, specifically in African-American patients, this suggests a role for P72 in cancer health disparities. This work was supported by NIH/NCI Workforce Diversity Grant R21-CA171251 & U54CA118948.

Indexed as

codon 72 polymorphismCREBEMTp38MAPKp53

Identifiers

PMID29100333
PMCPMC5652727
OpenAlexW2753653844

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.