Evidence map›Paper›PMID 37551102›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2023

Circulating exosomal microRNA-4497 as a potential biomarker for metastasis and prognosis in non-small-cell lung cancer.

Bokun Zheng, Mingcheng Peng, Jun Gong, Changsheng Li, Hongbing Cheng, Yirong Li, Yueting Tang

Open access · greenAbstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-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

8 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 2 institutions in 1 country.

Bokun ZhengDepartment of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.ORCID 0000-0001-7333-7016
Mingcheng PengDepartment of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Jun GongDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Changsheng LiDepartment of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Hongbing ChengDepartment of Thoracic Surgery, Xiantao First People's Hospital Affiliated to Yangtze University, Xiantao, Hubei 433099, China.
Yirong LiDepartment of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Yueting TangDepartment of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Wuhan University · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating exosomal microRNAs (miRNAs) have shown great potential for the diagnosis, prognosis, and treatment monitoring of patients with non-small-cell lung cancer (NSCLC). Our main purpose was to determine the clinical value of serum exosomal miR-4497 as a new non-invasive biomarker for NSCLC. The exoRNeasy Kit (QIAGEN, Hilden, Germany) was used to isolate exosomes and exoRNA from the serum of 84 patients with NSCLC (NSCLC group), 30 patients with benign lung lesion (BLL group), and 47 healthy controls. Six serum exosomal miRNAs (Let-7b-5p, miR-122-5p, miR-155-5p, miR-223-3p, miR-320c, and miR-4497) were selected as candidate miRNAs and analyzed using real-time qPCR, among which miR-4497 displayed the most striking differences. Exosomal miR-4497 expressed significantly lower in NSCLC than in BLL patients and healthy controls (

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMicroRNAsBiomarkers, TumorDisease-Free SurvivalHumansBiomarkers, TumorMicroRNAscirculating biomarkerexosomemetastasismiR-4497non-small-cell lung cancerprognosis

Identifiers

PMID37551102
PMCPMC10657587
OpenAlexW4385663265

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.