Evidence map›Paper›PMID 35886942›Full record

ReviewInternational journal of molecular sciences2022

MicroRNAs as Predictors of Lung-Cancer Resistance and Sensitivity to Cisplatin.

Maria Konoshenko, Yuriy Lansukhay, Sergey Krasilnikov, Pavel Laktionov

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.6field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Programmed cell death in lung cancer: mechanisms, immune responses, and therapeutics.Apoptosis : an international journal on programmed cell death · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. miR-149-3p targetingBiomolecules & biomedicine · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Cisplatin in Liver Cancer Therapy.International journal of molecular sciences · 2023
    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

4 authors at 2 institutions in 1 country.

Maria KonoshenkoInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Yuriy LansukhayMeshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, 630055 Novosibirsk, Russia.
Sergey KrasilnikovMeshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, 630055 Novosibirsk, Russia.
Pavel LaktionovInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Meshalkin National Medical Research Center · RUSiberian Branch of the Russian Academy of Sciences · RU

Funding

The Russian state budget project to the ICBFM SB RAS #AAAA-A17-117020210024-8The Russian state budget project to the Meshalkin NMRC. 121031300227-2
6 · The paper itself

Abstract

backgroundPlatinum-based chemotherapy, cisplatin (DDP) specifically, is the main strategy for treating lung cancer (LC). However, currently, there is a lack of predictive drug-resistance markers, and there is increased interest in the development of a reliable and sensitive panels of markers for DDP chemotherapy-effectiveness prediction. MicroRNAs represent a perspective pool of markers for chemotherapy effectiveness.

objectivesData on miRNAs associated with LC DDP chemotherapy response are summarized and analyzed. MATERIALS AND

methodsA comprehensive review of the data in the literature and an analysis of bioinformatics resources were performed. The gene targets of miRNAs, as well as their reciprocal relationships with miRNAs, were studied using several databases. RESULTS AND DISCUSSION: The complex analysis of bioinformatics resources and the literature indicated that the expressions of 12 miRNAs have a high predictive potential for LC DDP chemotherapy responses. The obtained information was discussed from the point of view of the main mechanisms of LC chemoresistance.

conclusionsAn overview of the published data and bioinformatics resources, with respect to the predictive microRNA markers of chemotherapy response, is presented in this review. The selected microRNAs and gene panel have a high potential for predicting LC DDP sensitiveness or DDP resistance as well as for the development of a DDP co-therapy.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungCisplatinDrug Resistance, NeoplasmLung NeoplasmsMicroRNAsApoptosisCell Line, TumorGene Expression Regulation, NeoplasticHumansAntineoplastic AgentsCisplatinMicroRNAschemoresistancechemosensitivitychemotherapycisplatinDDPlung cancermicroRNAnon-small cell lung cancertherapeutic effectiveness markers

Identifiers

PMID35886942
PMCPMC9321818
OpenAlexW4284899872

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.