Evidence map›Paper›PMID 21075512›Full record

ReviewCancer letters2011

Genomic instability and cancer: lessons learned from human papillomaviruses.

Nina Korzeniewski, Nicole Spardy, Anette Duensing, Stefan Duensing

Abstract readReview
In one paragraph

Review in Cancer letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 112 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

4 authors at 2 institutions in 1 country.

Nina KorzeniewskiCancer Virology Program, University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
Nicole Spardy
Anette Duensing
Stefan Duensing
University of Pittsburgh · USUPMC Hillman Cancer Center · US

Funding

Genomic instability induced by the HPV-16 E7 oncoproteinR01CA112598 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUENSING, STEFAN · 2005 to 2009
$1.1M
NCI NIH HHS R01 CA112598NCI NIH HHS R01CA112598
6 · The paper itself

Abstract

High-risk HPV E6 and E7 oncoproteins cooperate to subvert critical host cell cycle checkpoint control mechanisms in order to promote viral genome replication. This results not only in aberrant proliferation but also in host cellular changes that can promote genomic instability. The HPV-16 E7 oncoprotein was found to induce centrosome abnormalities thereby disrupting mitotic fidelity and increasing the risk for chromosome missegregation and aneuploidy. In addition, expression of the high-risk HPV E7 oncoprotein stimulates DNA replication stress as a potential source of DNA breakage and structural chromosomal instability. Proliferation of genomically unstable cells is sustained by several mechanisms including the accelerated degradation of claspin by HPV-16 E7 and the degradation of p53 by the high-risk HPV E6 oncoprotein. These results highlight the oncogenic potential of aberrant proliferation and opens new avenues for prevention of malignant progression, not only in HPV-associated cervical cancer but also in non-virally associated malignancies with disrupted cell cycle checkpoint control mechanisms.

Indexed as

Genomic InstabilityCentrosomeDisease ProgressionDNA DamageDNA ReplicationFemaleHuman papillomavirus 16HumansModels, BiologicalOncogene Proteins, ViralOpen Reading FramesPapillomaviridaePapillomavirus E7 ProteinsRepressor ProteinsUterine Cervical NeoplasmsVirus ReplicationE6 protein, Human papillomavirus type 16oncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsRepressor Proteins

Identifiers

PMID21075512
PMCPMC3046211
OpenAlexW2147271975

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.