Evidence map›Paper›PMID 35585716›Full record

ArticleCancer medicine2022

Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR-103b/877-5p/29c-5p as diagnostic biomarkers for early lung adenocarcinoma.

Jing Wu, Zian Feng, Rui Wang, Ang Li, Hong Wang, Xiaodong He, Zuojun Shen

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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 3 institutions in 1 country.

Jing WuDepartment of Clinical Laboratory, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0003-1931-4678
Zian FengDepartment of Clinical Laboratory, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.ORCID https://orcid.org/0000-0001-7780-2229
Rui WangDepartment of Clinical Laboratory, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China.
Ang LiDepartment of Clinical Laboratory, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Hong WangDepartment of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Xiaodong HeAnhui Provincial Center for Clinical Laboratories, Hefei, Anhui, China.
Zuojun ShenDepartment of Clinical Laboratory, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0001-7052-5652
University of Science and Technology of China · CNAnhui Medical University · CNAnhui Provincial Center for Disease Control and Prevention · CN

Funding

The Fundamental Research Funds for the Central Universities WK911000057The Key Programs for Research and Development of Anhui Province 1704a0802153The Project of the Science and Technology Innovation of Anhui Province 2017070802D1462018080402A009
6 · The paper itself

Abstract

The aim of this study was to identify miRNAs in plasma exosomes as noninvasive biomarkers for the early diagnosis of lung adenocarcinoma (LUAD). First, exosomal miRNA profiling of three patients with early LUAD and three patients with benign lung disease were screened by next-generation sequencing (NGS) method. Sequencing results showed that 154 exosomal miRNAs were differentially expressed in the plasma of LUAD patients, among which 68 miRNAs were up-regulated and 86 miRNAs were down-regulated. GSE137140 is a GEO database containing serum miRNAs sequencing data from 1566 lung cancer patients and 1774 non-cancer patients controls. When comparing the sequencing data, it was found that most miRNAs (37/68) up-regulated in our LUAD group were also significantly up-regulated in GSE137140, suggesting that circulating miRNAs in lung cancer patients may be enriched in plasma exosomes. In GSE137140, the AUC of the combination of hsa-miR-103b, hsa-miR-29c-5p and hsa-miR-877-5p was 0.873, showing great potential as new tumor markers. To our knowledge, these three exosomal miRNAs have not been reported in lung cancer research. Furthermore, bioinformatics tools were used to analyze the target genes of three candidate miRNAs, which were indeed closely related to the occurrence and development of lung cancer. Bioinformatics algorithms deduced a highly conserved sequence in the 3'-UTR of SFRP4, FOXM1 and TMEM98 that could be bound with miR-103b/877-5p/29c-5p. A luciferase assay indicated that miR-103b/877-5p/29c-5p directly targeted the 3'-UTR of SFRP4, FOXM1 and TMEM98, respectively. Finally, three candidate miRNAs were validated by qRT-PCR in 17 early LUAD samples and 17 control plasma samples. Integration of bioinformatics analysis and experimental validation identifies, this study provides novel insights into miRNA-related networks in LUAD. Hsa-miR-103b, hsa-miR-29c-5p, and hsa-miR-877-5p may be used as diagnostic biomarkers for early LUAD.

Indexed as

Adenocarcinoma of LungExosomesLung NeoplasmsMicroRNAsBiomarkersBiomarkers, TumorHumansMembrane ProteinsBiomarkersBiomarkers, TumorMembrane ProteinsMicroRNAsMIRN877 microRNA, humanTMEM98 protein, humanbioinformaticsexosomelung adenocarcinomamiRNAqRT-PCR

Identifiers

PMID35585716
PMCPMC9741994
OpenAlexW4280600629

What OpenQuestion holds

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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.