Evidence map›Paper›PMID 38485857›Full record

SynthesisClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

The diagnostic and prognostic value of exosomal microRNAs in lung cancer: a systematic review.

Bingbing Yang, Xiaoqi Xin, Xiaoqing Cao, Lubanga Nasifu, Zhenlin Nie, Bangshun He

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

6 authors at 3 institutions in 2 countries.

Bingbing YangDepartment of Laboratory Medicine, Nanjing First Hospital, China Pharmaceutical University, Nanjing, 210006, China.
Xiaoqi XinDepartment of Laboratory Medicine, Nanjing First Hospital, China Pharmaceutical University, Nanjing, 210006, China.
Xiaoqing CaoDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Lubanga NasifuDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Zhenlin NieDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China. zhenlinnie@126.com.ORCID http://orcid.org/0000-0002-2175-1140
Bangshun HeDepartment of Laboratory Medicine, Nanjing First Hospital, China Pharmaceutical University, Nanjing, 210006, China. bhe@njmu.edu.cn.ORCID http://orcid.org/0000-0002-4731-0167
China Pharmaceutical University · CNNanjing Medical University · CNMuni University · UG

Funding

Jiangsu Health Development Research Center JSHD2022045
6 · The paper itself

Abstract

backgroundStudies have shown that many exosomal microRNAs (miRNAs) can be used as non-invasive biomarkers of lung cancer, but their diagnostic and prognostic values need to be further clarified.

methodsWe conducted a systematic literature search in Web of Science, PubMed, and ScienceDirect databases, obtained relevant articles and extracted data, and used statistical methods and statistical software to comprehensively evaluate the diagnostic and prognostic value of exosomal miRNAs in lung cancer. REGISTRATION NUMBER: PROSPERO CRD42023447398.

resultsIn terms of diagnosis, two exosomal miRNAs (miR-486-5p and miR-451a) were reported with the highest frequency in lung cancer patients, both of which had good diagnostic value. Compared with the control group, the pooled sensitivities of miR-486-5p and miR-451a were 0.80 (95% CI: 0.73-0.86) and 0.76 (95% CI: 0.60-0.87), specificities: 0.93 (95% CI: 0.63-0.99) and 0.85 (95% CI: 0.72-0.92), and AUCs: 0.85 (95% CI: 0.81-0.88) and 0.88 (95% CI: 0.84-0.90), for the respective miRNAs. For prognosis, in lung cancer patients with abnormally expressed exosomal miRNAs, miR-1290 was associated with PFS outcome; miR-382, miR-1246, miR-23b-3p, miR-21-5p, and miR-10b-5p were associated with OS outcome; miR-21 and miR-4257 were associated with DFS outcome; miR-125a-3p and miR-625-5p were associated with PFS and OS outcomes; miR-216b and miR-451a were associated with OS and DFS outcomes.

conclusionsExosomal miRNAs are valuable biomarkers in lung cancer patients. Exosomal miR-486-5p and miR-451a can be used as new diagnostic biomarkers for lung cancer. Dysregulated exosomal miRNAs could serve as indicators of survival outcomes in lung cancer patients.

Indexed as

Biomarkers, TumorExosomesLung NeoplasmsMicroRNAsHumansPrognosisBiomarkers, TumorMicroRNAsMIRN451 microRNA, humanMIRN486 microRNA, humanDiagnosisExosomal miRNAsLung cancerMeta-analysisPrognosis

Identifiers

PMID38485857
OpenAlexW4392861019

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.