Evidence map›Paper›PMID 32326624›Full record

ReviewPathogens (Basel, Switzerland)2020

The Role of Long Noncoding RNAs in Human Papillomavirus-associated Pathogenesis.

Surendra Sharma, Karl Munger

Open access · goldAbstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 56 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

2 authors at 1 institution in 1 country.

Surendra SharmaBiochemistry Program, Graduate School of Biomedical Sciences; Department of Developmental, Molecular and Chemical Biology, Tufts University School of Medicine, Boston, MA 02111, USA.
Karl MungerBiochemistry Program, Graduate School of Biomedical Sciences; Department of Developmental, Molecular and Chemical Biology, Tufts University School of Medicine, Boston, MA 02111, USA.
Tufts University · US

Funding

BIOLOGICAL ACTIVITY OF HPV E7 IN HUMAN EPITHELIAL CELLSR01CA066980 · NCI · TUFTS UNIVERSITY BOSTON · PI MUNGER, KARL · 1996 to 2019
$7.4M
Mouse Model of Human Papillomavirus PathogenesisR01CA228543 · NCI · TUFTS UNIVERSITY BOSTON · PI LAMBERT, PAUL F., MUNGER, KARL · 2019 to 2023
$2.3M
Regulation of human papillomavirus pathogenesis by long non-coding RNAsR21AI147176 · NIAID · TUFTS UNIVERSITY BOSTON · PI MUNGER, KARL · 2019 to 2020
$446k
NCI NIH HHS R01 CA066980NIAID NIH HHS R21 AI147176NIH HHS AI147176, CA066980, CA228543
6 · The paper itself

Abstract

Infections with high-risk human papillomaviruses cause ~5% of all human cancers. E6 and E7 are the only viral genes that are consistently expressed in cancers, and they are necessary for tumor initiation, progression, and maintenance. E6 and E7 encode small proteins that lack intrinsic enzymatic activities and they function by binding to cellular regulatory molecules, thereby subverting normal cellular homeostasis. Much effort has focused on identifying protein targets of the E6 and E7 proteins, but it has been estimated that ~98% of the human transcriptome does not encode proteins. There is a growing interest in studying noncoding RNAs as biochemical targets and biological mediators of human papillomavirus (HPV) E6/E7 oncogenic activities. This review focuses on HPV E6/E7 targeting cellular long noncoding RNAs, a class of biologically versatile molecules that regulate almost every known biological process and how this may contribute to viral oncogenesis.

Indexed as

cervical carcinomaE6E7human papillomaviruslncRNAviral oncogenesis

Identifiers

PMID32326624
PMCPMC7238103
OpenAlexW3017161453

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.