Evidence map›Paper›PMID 36653583›Full record

ArticleDoklady. Biochemistry and biophysics2023

Influence of the Cultivation Conditions of the Glioblastoma Neurosphere on the Expression of MALAT1 and LINCROR Long Non-coding RNA Genes.

D V Mazur, A V Mishanova, T F Kovalenko, M I Shakhparonov, N V Antipova

Open access · hybridFull text read
In one paragraph

Article in Doklady. Biochemistry and biophysics, 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
0.7field-weighted citation impact, top 25% 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, 3 citations in OpenAlex.

  1. Article
  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

5 authors at 2 institutions in 1 country.

D V MazurInstitute of Bioorganic Chemistry named after M.M. Shemyakin and Yu.A. Ovchinnikov, Moscow, Russia.
A V MishanovaInstitute of Bioorganic Chemistry named after M.M. Shemyakin and Yu.A. Ovchinnikov, Moscow, Russia.
T F KovalenkoInstitute of Bioorganic Chemistry named after M.M. Shemyakin and Yu.A. Ovchinnikov, Moscow, Russia.
M I ShakhparonovInstitute of Bioorganic Chemistry named after M.M. Shemyakin and Yu.A. Ovchinnikov, Moscow, Russia.
N V AntipovaInstitute of Bioorganic Chemistry named after M.M. Shemyakin and Yu.A. Ovchinnikov, Moscow, Russia. nadine.antipova@gmail.com.
Institute of Bioorganic Chemistry · RUNational Research University Higher School of Economics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is the most aggressive malignant brain tumor. One of the reasons for the resistance of GBM to treatment is the extreme heterogeneity of the tumor and, in particular, the presence of cancer stem cells (CSCs) in the population of glioblastoma cells. In this work, we investigated the effect of conditions that reduce the proportion of CSCs in the GBM cell population on the levels of long noncoding RNAs (lincROR and MALAT1) involved in the formation of the phenotype of glioblastoma cancer stem cells. We have shown that culturing under conditions that cause a decrease in cell stemness (when fetal bovine serum is added to the culture medium) affected the content of these transcripts: in the cells of most of the analyzed lines, a decrease in the level of the positive stemness regulator lincROR and an increase in the content of MALAT1 were noted.

Indexed as

Brain NeoplasmsGlioblastomaRNA, Long NoncodingCell Line, TumorHumansRNA, Long Noncodingcancer stem cellsglioblastomalincRORMALAT1

Identifiers

PMID36653583
PMCPMC10042948
OpenAlexW4317383027

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read10
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.