Evidence map›Paper›PMID 35083616›Full record

ReviewMolecular biology reports2022

Emerging role of exosomal long non-coding RNAs in lung cancer.

Lulu He, Minmin Lin, Jing Shen, Hongyan Qi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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

4 authors at 1 institution in 1 country.

Lulu HeDepartment of Pathology & Pathophysiology, and Department of Radiation Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Minmin LinDepartment of Pathology & Pathophysiology, and Department of Radiation Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Jing ShenDepartment of Pathology & Pathophysiology, and Department of Medical Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Hongyan QiDepartment of Pathology & Pathophysiology, and Department of Radiation Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China. qihongyan@zju.edu.cn.ORCID http://orcid.org/0000-0002-4639-299X
Second Affiliated Hospital of Zhejiang University · CN

Funding

natural science foundation of zhejiang province LY18H160024natural science foundation of zhejiang province LY20H1160040
6 · The paper itself

Abstract

backgroundLung cancer is one of the most common malignancies worldwide. Also, it is the leading cause of cancer morbidity and mortality in men. Despite advances in lung cancer diagnosis and treatment, novel approaches are strongly needed to promote early diagnosis and effective treatment of lung cancer. Presently, accumulating data reveal that long noncoding RNAs (lncRNAs) are differentially enriched in exosomes and mediate multiple biological processes in lung cancer, suggesting the potential application of exosomal lncRNAs as diagnostic biomarkers and therapeutic targets.

conclusionIn this review, we described the emerging roles of lncRNAs specifically sorted into exosomes in lung cancer. We discussed the current knowledge of the exosomal lncRNA sorting mechanism and highlighted opportunities for exosome-derived lncRNAs as biomarkers in clinical practice. In particular, we systematically summarized the biological functions of exosomal lncRNAs in lung cancer.

Indexed as

ExosomesLung NeoplasmsRNA, Long NoncodingBiomarkers, TumorHumansMaleBiomarkers, TumorRNA, Long NoncodingBiomarkerExosomelncRNALung cancerSorting mechanism

Identifiers

PMID35083616
OpenAlexW4210431397

What OpenQuestion holds

Textmetadata
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.