Evidence map›Paper›PMID 29573061›Full record

ArticleCancer science2018

Circulating exosomes contain protein biomarkers of metastatic non-small-cell lung cancer.

Ning Wang, Xingguo Song, Lisheng Liu, Limin Niu, Xingwu Wang, Xianrang Song, Li Xie

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 1 synthesis or guideline pooled it, 136 citations in OpenAlex.

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  7. Tumor-exosomal miR-205-5p as a diagnostic biomarker for colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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15 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Ning WangSchool of Medicine and Life Sciences, University of Jinan, Shandong Academy of Medical Sciences, Jinan, China.
Xingguo SongShandong Cancer Hospital & Institute, Shandong Academy of Medical Sciences, Jinan, China.
Lisheng LiuDepartment of Clinical Laboratory, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.
Limin NiuSchool of Medicine and Life Sciences, University of Jinan, Shandong Academy of Medical Sciences, Jinan, China.
Xingwu WangShandong Cancer Hospital & Institute, Shandong Academy of Medical Sciences, Jinan, China.
Xianrang SongDepartment of Clinical Laboratory, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.
Li XieDepartment of Clinical Laboratory, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.ORCID http://orcid.org/0000-0003-4715-136X
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the overall changes in exosomal proteomes in metastatic and non-metastatic non-small-cell lung cancers (NSCLC) and healthy human serum samples, and evaluate the potential of serum exosomal biomarkers to predict NSCLC metastasis. Tandem mass tags combined with multidimensional liquid chromatography and mass spectrometry analysis were used for screening the proteomic profiles of serum samples. Quantitative proteome, significant pathway, and functional categories of patients with metastatic and non-metastatic NSCLC and healthy donors were investigated. In total, 552 proteins of the 628 protein groups identified were quantified. Bioinformatics analysis indicated that quantifiable proteins were mainly involved in multiple biological functions, metastasis-related pathways. Moreover, lipopolysaccharide-binding proteins (LBP) in the exosomes were found to be well distinguished between patients with metastatic and patients with non-metastatic NSCLC. Area under the curve (AUC) was 0.803 with a sensitivity of 83.1% and a specificity of 67% (P < .0001). Circulating LBP were also well distinguishable between metastatic and non-metastatic NSCLC, the AUC was 0.683 with a sensitivity of 79.5% and a specificity of 47.2% (P = .005). This novel study provided a reference proteome map for metastatic NSCLC. Patients with metastatic and non-metastatic NSCLC differed in exosome-related proteins in the serum. LBP might be promising and effective candidates of metastatic NSCLC.

Indexed as

Acute-Phase ProteinsArea Under CurveBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarrier ProteinsComputational BiologyExosomesHumansLipopolysaccharide-Binding ProteinLung NeoplasmsMembrane GlycoproteinsProteomicsAcute-Phase ProteinsBiomarkers, TumorCarrier ProteinsLipopolysaccharide-Binding ProteinMembrane Glycoproteinsexosomelipopolysaccharide-binding proteinmetastatic biomarkernon-small-cell lung cancerproteomics

Identifiers

PMID29573061
PMCPMC5980308
OpenAlexW2794378348

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.