Evidence map›Paper›PMID 28608043›Full record

ArticleBulletin of mathematical biology2017

A Mathematical Model of Cell Cycle Dysregulation Due to Human Papillomavirus Infection.

Anna K Miller, Karl Munger, Frederick R Adler

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Anna K MillerDepartment of Mathematics, University of Utah, Salt Lake City, UT, USA. amiller@math.utah.edu.ORCID http://orcid.org/0000-0002-3099-1648
Karl MungerDepartment of Developmental, Molecular and Chemical Biology, Tufts University, Boston, MA, USA.
Frederick R AdlerDepartments of Mathematics and Biology, University of Utah, Salt Lake City, UT, USA.
University of Utah · USTufts University · US

Funding

BIOLOGICAL ACTIVITY OF HPV E7 IN HUMAN EPITHELIAL CELLSR01CA066980 · NCI · TUFTS UNIVERSITY BOSTON · PI MUNGER, KARL · 1996 to 2019
$7.4M
NCI NIH HHS R01 CA066980
6 · The paper itself

Abstract

Human papillomaviruses (HPVs) that infect mucosal epithelium can be classified as high risk or low risk based on their propensity to cause lesions that can undergo malignant progression. HPVs produce the E7 protein that binds to cell cycle regulatory proteins including the retinoblastoma tumor suppressor protein (RB) to modulate cell cycle control. Generally, high-risk HPV E7 proteins bind to RB with a higher affinity than low-risk HPV E7s, but both are able to deactivate RB and trigger S phase progression. In uninfected cells, RB inactivation is a tightly controlled process that must coincide with growth factor stimulation to commit cells to division. High-risk HPV E7 proteins short-circuit this control by decreasing growth factor requirement for cell division. We develop a mathematical model to examine the role that RB binding affinity, growth factor concentration, and E7 concentration have on cell cycle progression. Our model predicts that high RB binding affinity and E7 concentration accelerate the [Formula: see text] to S phase transition and weaken the dependence on growth factor. This model thus captures a key step in high-risk HPV oncogenesis.

Indexed as

Cell CycleModels, TheoreticalOncogene Proteins, ViralPapillomavirus E7 ProteinsPapillomavirus InfectionsHumansPapillomaviridaeOncogene Proteins, ViralPapillomavirus E7 ProteinsHPV E7Human papillomavirusesMathematical modelRetinoblastoma protein

Identifiers

PMID28608043
PMCPMC5554117
OpenAlexW2626963241

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.