Evidence map›Paper›PMID 34830126›Full record

ReviewInternational journal of molecular sciences2021

Role of Cell-Free DNA and Deoxyribonucleases in Tumor Progression.

Ludmila Alekseeva, Nadezhda Mironova

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Biomedicines · 2024
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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.

Ludmila AlekseevaInstitute of Chemical Biology and Fundamental Medicine, SB RAS, Lavrentiev Ave., 8, 630090 Novosibirsk, Russia.ORCID 0000-0002-5826-5365
Nadezhda MironovaInstitute of Chemical Biology and Fundamental Medicine, SB RAS, Lavrentiev Ave., 8, 630090 Novosibirsk, Russia.ORCID 0000-0003-4375-0269
Institute of Chemical Biology and Fundamental Medicine · RU

Funding

Russian Government funded budget project of ICBFM SB RAS 121031300044-5Russian Science Foundation 19-74-30011
6 · The paper itself

Abstract

Many studies have reported an increase in the level of circulating cell-free DNA (cfDNA) in the blood of patients with cancer. cfDNA mainly comes from tumor cells and, therefore, carries features of its genomic profile. Moreover, tumor-derived cfDNA can act like oncoviruses, entering the cells of vulnerable organs, transforming them and forming metastatic nodes. Another source of cfDNA is immune cells, including neutrophils that generate neutrophil extracellular traps (NETs). Despite the potential eliminative effect of NETs on tumors, in some cases, their excessive generation provokes tumor growth as well as invasion. Considering both possible pathological contributions of cfDNA, as an agent of oncotransformation and the main component of NETs, the study of deoxyribonucleases (DNases) as anticancer and antimetastatic agents is important and promising. This review considers the pathological role of cfDNA in cancer development and the role of DNases as agents to prevent and/or prohibit tumor progression and the development of metastases.

Indexed as

Antineoplastic AgentsCell-Free Nucleic AcidsCell Transformation, NeoplasticDeoxyribonucleasesDisease ProgressionExtracellular TrapsHumansNeoplasm MetastasisNeoplasmsNeutrophilsAntineoplastic AgentsCell-Free Nucleic AcidsDeoxyribonucleasescirculating cell-free DNADNasesneutrophil extracellular traps (NETs)tumor and metastasis development

Identifiers

PMID34830126
PMCPMC8625144
OpenAlexW3212509574

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.