Evidence map›Paper›PMID 34658683›Full record

ArticleDose-response : a publication of International Hormesis Society

The Adaptive Responses in Non-Small Cell Lung Cancer A549 Cell Lines Induced by Low-Dose Ionizing Radiation and the Variations of miRNA Expression.

Xiao-Chun Wang, Li-Li Tian, Cai-Xia Fan, Cai-Hong Duo, Ke-Ming Xu

Open access · goldAbstract read
In one paragraph

Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Low-Dose Non-Targeted Effects and Mitochondrial Control.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Review
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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

5 authors at 2 institutions in 1 country.

Xiao-Chun WangShiLong Hospital (Research Center for Pneumoconiosis Prevention and Treatment), National Center for Occupational Safety and Health, NHC, Beijing, China.ORCID https://orcid.org/0000-0002-9390-1697
Li-Li Tiannstitute of Infectious and Endemic Disease Prevention, Beijing Centers for Disease Control and Prevention, Beijing, China.
Cai-Xia FanBaotou Caner Hospital, Baotou, China.
Cai-Hong DuoShiLong Hospital (Research Center for Pneumoconiosis Prevention and Treatment), National Center for Occupational Safety and Health, NHC, Beijing, China.
Ke-Ming XuShiLong Hospital (Research Center for Pneumoconiosis Prevention and Treatment), National Center for Occupational Safety and Health, NHC, Beijing, China.
Baotou Central Hospital · CNBeijing Center for Disease Prevention and Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the effects of adaptive response in A549 cells induced by low-dose radiation and the miRNAs expression.

methodsA549 cells were irradiated with 50 mGy and 200 mGy initial doses, respectively, and then irradiated with a challenge dose 20 Gy at 6 hours interval. The biological effects and miRNA expression were detected.

resultsThe apoptosis rates of 50 mGy-20 Gy and 200 mGy-20 Gy groups were significantly lower than that of only 20 Gy irradiation group (

conclusionLow-dose X-ray of 50 mGy and 200 mGy radiation can induce adaptive apoptosis response prior to 20 Gy in A549 cells. Sixteen differently expressed miRNAs may play important roles in the adaptive effect of low-dose radiation.

Indexed as

adaptive effectapoptosislow-dose radiationmiRNAsX-ray

Identifiers

PMID34658683
PMCPMC8516394
OpenAlexW3205355062

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.