Evidence map›Paper›PMID 30407700›Full record

ArticleCancer science2019

Tumor-derived exosomal proteins as diagnostic biomarkers in non-small cell lung cancer.

Limin Niu, Xingguo Song, Ning Wang, Linlin Xue, Xianrang Song, Li Xie

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% 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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it, 145 citations in OpenAlex.

  1. Pooled it
  2. Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020
    Pooled it
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17 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

6 authors at 2 institutions in 1 country.

Limin NiuSchool of Medicine and Life Sciences, University of Jinan, Shandong Academy of Medical Sciences, Jinan, China.
Xingguo SongShandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China.
Ning WangDepartment of Clinical Laboratory, Jinan Maternity and Child Care Hospital, Jinan, China.
Linlin XueDepartment of Clinical Laboratory, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China.
Xianrang SongDepartment of Clinical Laboratory, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China.
Li XieDepartment of Clinical Laboratory, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China.ORCID http://orcid.org/0000-0003-4715-136X
Shandong University · CNJinan Maternity And Care Hospital · CN

Funding

Medicine and Health Science Technology Development Program of Shandong Province 2017WS001National Natural Science Foundation of China 81773237Shandong Provincial Key Research and Development Program 2017CXGC1207Shandong Provincial Key Research and Development Program 2017GSF18183
6 · The paper itself

Abstract

Accumulating evidence supports a role for exosomal protein in diagnosis. The purpose of this study was to identify the tumor-derived exosomal biomarkers in the serum that improve the diagnostic value in Chinese non-small cell lung cancer (NSCLC) patients. Serum exosomes were isolated from healthy donors (n = 46) and NSCLC patients (n = 125) by ultracentrifugation and were characterized using transmission electron microscopy, qNano, and immunoblotting. Proteomic profiles (by mass spectrometry) revealed multiple differentially expressed proteins in the healthy and NSCLC groups. The exosomal expression levels of alpha-2-HS-glycoprotein (AHSG) and extracellular matrix protein 1 (ECM1) increased significantly in the NSCLC patients compared to the healthy group. Alpha-2-HS-glycoprotein showed diagnostic values with a maximum area under the receiver operating characteristic curve (AUC) as 0.736 for NSCLC vs healthy individuals (P < .0001) and 0.682 for early stage NSCLC vs healthy individuals (P < .01). Extracellular matrix protein 1 showed the diagnostic capacity with AUC values of 0.683 (P < .001) and 0.656 (P < .05) in cancer and early stage NSCLC compared to healthy individuals. When AHSG was combined with ECM1, the AUCs were 0.795 and 0.739 in NSCLC and early stage patients, respectively. Taken together, the combination of AHSG, ECM1, and carcinoembryonic antigen improved the diagnostic potential of NSCLC. The diagnosis values were AUC of 0.938 for NSCLC and 0.911 for early stage NSCLC vs healthy individuals. Our results suggest that novel proteomic signatures found in serum exosomes of NSCLC patients show potential usefulness as diagnostic tools.

Indexed as

AdultAgedAged, 80 and overalpha-2-HS-GlycoproteinBiomarkers, TumorCarcinoembryonic AntigenCarcinoma, Non-Small-Cell LungExosomesExtracellular Matrix ProteinsFemaleHumansLung NeoplasmsMaleMicroscopy, Electron, TransmissionMiddle AgedNeoplasm Proteinsalpha-2-HS-GlycoproteinBiomarkers, TumorCarcinoembryonic AntigenECM1 protein, humanExtracellular Matrix ProteinsNeoplasm Proteinsalpha-2-HS-glycoproteindiagnostic markerextracellular matrix protein 1non-small cell lung cancertumor-derived exosomes

Identifiers

PMID30407700
PMCPMC6317937
OpenAlexW2900304024

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.