Evidence map›Paper›PMID 34925461›Full record

ArticleFrontiers in genetics2021

Characterizing the Copy Number Variation of Non-Coding RNAs Reveals Potential Therapeutic Targets and Prognostic Markers of LUSC.

Jinfeng Ning, Fengjiao Wang, Kaibin Zhu, Binxi Li, Qing Shu, Wei Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Current issues in molecular biology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Long noncoding RNATranslational andrology and urology · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
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

6 authors at 4 institutions in 1 country.

Jinfeng NingDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Fengjiao WangDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Kaibin ZhuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Binxi LiDepartment of Management Science and Engineering, Harbin Engineering University, Harbin, China.
Qing ShuDepartment of Medical Imaging, Harbin Medical University Cancer Hospital, Harbin, China.
Wei LiuThe Fourth Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Harbin Medical University · CNFourth Affiliated Hospital of Harbin Medical University · CNHarbin University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung squamous cell carcinoma (LUSC) has a poor clinical prognosis and a lack of available targeted therapies. Therefore, there is an urgent need to identify novel prognostic markers and therapeutic targets to assist in the diagnosis and treatment of LUSC. With the development of high-throughput sequencing technology, integrated analysis of multi-omics data will provide annotation of pathogenic non-coding variants and the role of non-coding sequence variants in cancers. Here, we integrated RNA-seq profiles and copy number variation (CNV) data to study the effects of non-coding variations on gene regulatory network. Furthermore, the 372 long non-coding RNAs (lncRNA) regulated by CNV were used as candidate genes, which could be used as biomarkers for clinical application. Nine lncRNAs including

Indexed as

biomarkersclinical prognosiscopy number variationnon-coding RNAsprecision medicine

Identifiers

PMID34925461
PMCPMC8672037
OpenAlexW3216471367

What OpenQuestion holds

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LicenceCC BY
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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.