Evidence map›Paper›PMID 37433908›Full record

ReviewMolecular biology reports2023

Gene amplifications and extrachromosomal circular DNAs: function and biogenesis.

Ali Yüksel, Oğuz Altungöz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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.

Ali YükselDepartment of Medical Biology and Genetics, Institute of Health Sciences, Dokuz Eylul University, 35330, Izmir, Turkey. aliyuksell@ogr.deu.edu.tr.ORCID http://orcid.org/0000-0002-0074-0063
Oğuz AltungözDepartment of Medical Biology and Genetics, Institute of Health Sciences, Dokuz Eylul University, 35330, Izmir, Turkey. oguz.altungoz@deu.edu.tr.ORCID http://orcid.org/0000-0002-2548-4238
Dokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene amplification is an increase in the copy number of restricted chromosomal segments that contain gene(s) and frequently results in the over-expression of the corresponding gene(s). Amplification may be found in the form of extrachromosomal circular DNAs (eccDNAs) or as linear repetitive amplicon regions that are integrated into chromosomes, which may form cytogenetically observable homogeneously staining regions or may be scattered throughout the genome. eccDNAs are structurally circular and in terms of their function and content, they can be classified into various subtypes. They play pivotal roles in many physiological and pathological phenomena such as tumor pathogenesis, aging, maintenance of telomere length and ribosomal DNAs (rDNAs), and gain of resistance against chemotherapeutic agents. Amplification of oncogenes is consistently seen in various types of cancers and can be associated with prognostic factors. eccDNAs are known to be originated from chromosomes as a consequence of various cellular events such as repair processes of damaged DNA or DNA replication errors. In this review, we highlighted the role of gene amplification in cancer, the functional aspects of eccDNAs subtypes, the proposed biogenesis mechanisms, and their role in gene or segmental-DNA amplification.

Indexed as

DNA, CircularGene AmplificationChromosomesDNAOncogenesDNADNA, CircularCancerExtrachromosomal circular DNAsFunctions of eccDNAsGene amplification

Identifiers

PMID37433908
OpenAlexW4383874487

What OpenQuestion holds

Textmetadata
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.