Evidence map›Paper›PMID 29440731›Full record

ArticleScientific reports2018

Microarray profile of circular RNAs identifies hsa_circ_0014130 as a new circular RNA biomarker in non-small cell lung cancer.

Shaoyan Zhang, Xiaoli Zeng, Ting Ding, Lin Guo, Yulong Li, Songlei Ou, Hui Yuan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

90 citing papers in PubMed, 160 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. The Tumorigenic Role of Circular RNA-MicroRNA Axis in Cancer.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Construction of endogenous RNA regulatory network for colorectal cancer based on bioinformatics.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Noncoding RNAs in apoptosis: identification and function.Turkish journal of biology = Turk biyoloji dergisi · 2022
    Review
  18. Review
  19. Review
  20. Article

30 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Shaoyan ZhangDepartment of Thoracic Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Xiaoli ZengDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China. greatzxl@163.com.
Ting DingDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Lin GuoDepartment of Thoracic Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Yulong LiDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Songlei OuDepartment of Thoracic Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Hui YuanDepartment of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Capital Medical University · CNBeijing Anzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has revealed that aberrant Circular RNAs (circRNAs) expression plays important roles in carcinogenesis and tumor progression. However, their role in non-small cell lung cancer (NSCLC) remains unclear. In this study, we first used circRNA microarrays to screen for tumour-specific circRNA candidates in between NSCLC (n = 3) and adjacent lung (n = 3) tissue. Among the circRNA expression profile, two circRNAs (hsa_circ_0014130 and hsa_circ_0016760) were selected for validation in ten pairs of NSCLC and adjacent non-cancerous tissues by real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Only hsa_circ_0014130 exhibited significantly overexpressed in NSCLC tissues (P < 0.001), which were further confirmed in another 36 matched tissue samples using qRT-PCR. Hsa_circ_0014130 expression significantly correlated with TNM stage (P = 0.001) and lymphatic metastasis (P = 0.004). The area under the receiver operating characteristic curve was 0.878 (95% confidence interval = 0.804-0.951; P < 0.001), which showed good diagnostic potential. Bioinformatics platforms predicted that hsa_circ_0014130 might interact with five miRNAs and their corresponding mRNAs. Gene oncology analysis and pathway analysis revealed that hsa_circ_0014130 could participate in NSCLC development. In summary, our findings indicated that hsa_circ_0014130 could be used as a potential NSCLC biomarker and might be closely related to the carcinogenesis of NSCLC.

Indexed as

Oligonucleotide Array Sequence AnalysisCarcinoma, Non-Small-Cell LungFemaleGene Expression Regulation, NeoplasticGenetic MarkersHumansLung NeoplasmsMaleMiddle AgedRNARNA, CircularGenetic MarkersRNARNA, Circular

Identifiers

PMID29440731
PMCPMC5811528
OpenAlexW2806543920

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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.