Evidence map›Paper›PMID 32844469›Full record

ArticleJournal of clinical laboratory analysis2020

Analysis of circular RNA expression profiles of lung cancer in Xuanwei, China.

Yan Wang, Ling-Jiao Lu, Yong Duan, Xiao Liu, Yue Mao, Yu Chen, Yan-Liang Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. 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
0.4field-weighted citation impact, top 40% 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.

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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

7 authors at 1 institution in 1 country.

Yan WangDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID https://orcid.org/0000-0001-5178-2020
Ling-Jiao LuDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yong DuanDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiao LiuDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yue MaoDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yu ChenDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yan-Liang ZhangDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yunnan University · CN

Funding

Applied Basic Research Project of Science and Technology Department of Yunnan Province-Kunming Medical University Union Fund 2017FE467(-131)"High-level Talents Training Support Program" of Yunnan Province -- Project for Young Top Talents, Training Program for Leaders of Medical Disciplines of Yunnan Provincial Health Commission D-2018024National Natural Science Foundation of China 81660388Training Program for 100 Young and Middle-aged Academic and Technical Leaders of Kunming Medical University 60117190460
6 · The paper itself

Abstract

backgroundMounting evidence indicates that circular RNAs (circRNAs) could play a pivotal role in cancers. However, due to the lack of sensitive biomarkers, most lung cancer in Xuanwei (LCXW) patients are still diagnosed at an advanced stage accompany with distant metastasis.

methodsAccording to the stage of LCXW patients and tissue sources, circRNAs microarray detection was carried out in six groups. Considering fold change, raw intensity, the length of circRNAs, and P-value, we selected eightcircRNAs for further study. A total of 50 paired LCXW tissues were carried out real-time quantitative polymerase chain reaction (RT-qPCR) in order to extended sample size to verify the expression of these circRNAs.

resultsWe designed 13 617 human circRNA probes for the human circular RNA microarray, detected 10 819 circRNA in six groups of samples; 537 circRNAs were differentially expressed consistently in every stage. Through RT-qPCR, we selected 8 circRNAs, three of which were upregulated (hsa_circ_0005927, hsa_circ_0069397 and hsa_circ_0000937) and five were downregulated (hsa_circ_0001936, hsa_circ_0005255, hsa_circRNA_406010, hsa_circ_0007064, hsa_circ_0000907) in tumor tissues, only hsa_circ_0001936 showed the opposite expression between microarray and RT-qPCR, others were consistent. Additionally, hsa_circ_0005927 and hsa_circ_0001936 were significantly correlated with tumor size, and hsa_circRNA_406010 was related to the prognosis of LCXW patients.

conclusionTogether, these results suggest that hsa_circ_0005927, hsa_circ_0001936, and hsa_circRNA_406010 may serve as the novel potential biomarkers for LCXW. Moreover, these results may provide a new insight for the pathogenesis of LCXW.

Indexed as

Lung NeoplasmsRNA, CircularBiomarkers, TumorChinaFemaleHumansLungMaleMiddle AgedOligonucleotide Array Sequence AnalysisTranscriptomeBiomarkers, TumorRNA, CircularbiomarkercircRNA microarraycircular RNALCXWmicroRNA

Identifiers

PMID32844469
PMCPMC7755777
OpenAlexW3081328329

What OpenQuestion holds

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Registered trials

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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.