Evidence map›Paper›PMID 33313118›Full record

ArticleAnnals of translational medicine2020

Integrated analysis of circRNA-miRNA-mRNA network reveals potential prognostic biomarkers for radiotherapies with X-rays and carbon ions in non-small cell lung cancer.

Xiaodong Jin, Lingyan Yuan, Bingtao Liu, Yanbei Kuang, Hongbin Li, Linying Li, Xueshan Zhao, Feifei Li, Zhitong Bing, Weiqiang Chen and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Xiaodong JinInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Lingyan YuanInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Bingtao LiuInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Yanbei KuangInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Hongbin LiInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Linying LiInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Xueshan ZhaoDepartment of Oncology Radiotherapy, The First Hospital of Lanzhou University, Lanzhou, China.
Feifei LiInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Zhitong BingInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Weiqiang ChenInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Lei YangInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Qiang LiInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Institute of Modern Physics · CNUniversity of Chinese Academy of Sciences · CNChinese Academy of Sciences · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis work was aimed at exploring the regulatory network of non-coding RNA (ncRNA) especially circular RNA (circRNA) and microRNA (miRNA), in the sensitivity of non-small cell lung cancer (NSCLC) cells to low linear energy transfer (LET) X-ray and high-LET carbon ion irradiations.

methodsThe radioresistant NSCLC cell line A549-R11 was obtained from its parental cell line A549 through irradiation with X-rays of 2.0 Gy per fraction for 30 times. The sensitivities of A549, A549-R11 and H1299 cells exposed to X-rays and carbon ions were verified using the colony formation assay. A comprehensive circRNA-miRNA-mRNA network was constructed through the sequencing data in parental A549, acquired radioresistant A549-R11 and intrinsic radioresistant H1299 cells, and the network was further optimized according to the prognostic results from the TCGA and GEO databases.

resultsBased on high-throughput sequencing of circRNAs, we found that 40 circRNAs were up-regulated while 184 circRNAs were down-regulated in the intersection of the sets of A549-R11 and H1299 cells. Subsequently, a circRNA- miRNA-mRNA network, including 14 interactive pairs and 8 circRNAs, 4 overall survival-associated miRNAs, and 4 mRNAs, was constructed through the high-throughput data screening and bioinformatics methods.

conclusionsOur results provide a complete understanding to the regulatory mechanism of the sensitivities to low-LET X-ray and high-LET carbon ion irradiations, and might be helpful to screen potential biomarkers for predicting the Carbon-ion radiotherapy (CIRT) and X-ray radiotherapy responses in NSCLC.

Indexed as

Carbon-ion radiotherapy (CIRT)circRNA-miRNA-mRNA networknon-small cell lung cancer (NSCLC)radiosensitivity

Identifiers

PMID33313118
PMCPMC7723558
OpenAlexW3105208222

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.