Evidence mapPaperPMID 36769365Full record

ArticleInternational journal of molecular sciences2023

Transcriptome-Based Traits of Radioresistant Sublines of Non-Small Cell Lung Cancer Cells.

Margarita Pustovalova, Philipp Malakhov, Anastasia Guryanova, Maxim Sorokin, Maria Suntsova, Anton Buzdin, Andreyan N Osipov, Sergey Leonov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

8 authors.

Margarita PustovalovaSchool of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.
Philipp MalakhovSchool of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.
Anastasia GuryanovaSchool of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.
Maxim SorokinSchool of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.ORCID 0000-0001-7685-3446
Maria SuntsovaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Anton BuzdinSchool of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.
Andreyan N OsipovSchool of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.ORCID 0000-0001-5921-9056
Sergey LeonovSchool of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.ORCID 0000-0002-3425-723X

Funding

Strategic academic leadership program 'Priority 2030' Agreement 075-02-2021-1316 30.09.2021
6 · The paper itself

Abstract

Radioresistance is a major obstacle for the successful therapy of many cancers, including non-small cell lung cancer (NSCLC). To elucidate the mechanism of radioresistance of NSCLC cells and to identify key molecules conferring radioresistance, the radioresistant subclones of p53 wild-type A549 and p53-deficient H1299 cell cultures were established. The transcriptional changes between parental and radioresistant NSCLC cells were investigated by RNA-seq. In total, expression levels of 36,596 genes were measured. Changes in the activation of intracellular molecular pathways of cells surviving irradiation relative to parental cells were quantified using the Oncobox bioinformatics platform. Following 30 rounds of 2 Gy irradiation, a total of 322 genes were differentially expressed between p53 wild-type radioresistant A549IR and parental A549 cells. For the p53-deficient (H1299) NSCLC cells, the parental and irradiated populations differed in the expression of 1628 genes and 1616 pathways. The expression of genes associated with radioresistance reflects the complex biological processes involved in clinical cancer cell eradication and might serve as a potential biomarker and therapeutic target for NSCLC treatment.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsA549 CellsCell Line, TumorGene Expression Regulation, NeoplasticHumansRadiation ToleranceTranscriptomeTumor Suppressor Protein p53Tumor Suppressor Protein p53DNA repairgene expressionionizing radiationnon-small cell lung cancerradioresistancetranscriptomics

Identifiers

PMID36769365
PMCPMC9917840

What Socratic holds

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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 Socratic graph.