Evidence map›Paper›PMID 34692550›Full record

ReviewFrontiers in oncology2021

The Emerging Roles of Long Noncoding RNAs as Hallmarks of Lung Cancer.

Jun Jiang, Yuan Lu, Fang Zhang, Jie Huang, Xin-Ling Ren, Rui Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Epigenetic regulation of pulmonary inflammation.Seminars in cell & developmental biology · 2024
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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

6 authors at 3 institutions in 1 country.

Jun JiangDepartment of Health Service, Fourth Military Medical University, Xi'an, China.
Yuan LuDepartment of Pulmonary Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Fang ZhangDepartment of Pulmonary Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Jie HuangDepartment of Respiratory and Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
Xin-Ling RenDepartment of Pulmonary Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Rui ZhangState Key Laboratory of Cancer Biology, Department of Immunology, Fourth Military Medical University, Xi'an, China.
Xijing Hospital · CNAir Force Medical University · CNZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding ribonucleic acids (ncRNAs) are closely associated with tumor initiation, growth, and progress in lung cancer. Long ncRNAs (lncRNAs), as one of the three subclasses of ncRNAs, play important roles in chromatin modification, transcription, and post-transcriptional processing. Various lncRNAs have recently been reported to be dysfunctional or dysregulated in cancers and have pro- or anti-tumor potential. Importantly, as a new class of cancer biomarkers, studies have demonstrated the plausibility of using certain subsets of lncRNAs as promising diagnostic, therapeutic, or prognostic strategies to manage cancers. This review focuses on lncRNAs associated with hallmarks of lung cancer, especially those discovered in the last five years. The expression levels of these lncRNAs in tumor samples are discussed, alongside their mechanisms of action, drug resistance, and potential as diagnostic and prognostic markers for lung cancer.

Indexed as

cancer treatmentlncRNAlung cancerpredictive biomarkersprognostic biomarkers

Identifiers

PMID34692550
PMCPMC8529012
OpenAlexW3205290467

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.