Evidence map›Paper›PMID 30733650›Full record

ArticleClinical proteomics2019

Proteomic analysis of plasma exosomes to differentiate malignant from benign pulmonary nodules.

Muyu Kuang, Xiaoting Tao, Yizhou Peng, Wenjing Zhang, Yafang Pan, Lei Cheng, Chongze Yuan, Yue Zhao, Hengyu Mao, Lingdun Zhuge and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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  11. Proteomics characterization of mitochondrial-derived vesicles under oxidative stress.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
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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

13 authors at 4 institutions in 1 country.

Muyu Kuang1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaoting Tao1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yizhou Peng1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Wenjing Zhang4Shanghai Institute of Biochemistry and Cell Biology, Shanghai, China.
Yafang Pan4Shanghai Institute of Biochemistry and Cell Biology, Shanghai, China.
Lei Cheng5Cancer Institute, Collaborative Innovation Center for Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.
Chongze Yuan1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yue Zhao1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Hengyu Mao1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Lingdun Zhuge1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhenhua Zhou *6Department of Orthopaedic Oncology, Changzheng Hospital, Naval Military Medical University (The Second Military Medical University), Shanghai, China.
Haiquan Chen *1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yihua Sun *1Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CNCenter for Excellence in Molecular Cell Science · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is difficult to distinguish benign pulmonary nodules (PNs) from malignant PNs by conventional examination. Therefore, novel biomarkers that can identify the nature of PNs are needed. Exosomes have recently been identified as an attractive alternative approach since tumor-specific molecules can be found in exosomes isolated from biological fluids.

methodsPlasma exosomes were extracted via the exoEasy reagent method. The major proteins from plasma exosomes in patients with PNs were identified via labelfree analysis and screened for differentially expressed proteins. A GO classification analysis and KEGG pathway analysis were performed on plasma exosomal protein from patients with benign and malignant PNs.

resultsWestern blot confirmed that protein expression of CD63 and CD9 could be detected in the exosome extract. Via a search of the human Uniprot database, 736 plasma exosome proteins from patients with PNs were detected using high-confidence peptides. There were 33 differentially expressed proteins in the benign and malignant PNs. Of these, 12 proteins were only expressed in the benign PNs group, while 9 proteins were only expressed in the malignant PNs group. We further obtained important information on signaling pathways and nodal proteins related to differential benign and malignant PNs via bioinformatic analysis methods such as GO, KEGG, and String.

conclusionsThis study provides a new perspective on the identification of novel detection strategies for benign and malignant PNs. We hope our findings can provide clues for the identification of benign and malignant PNs.

Identifiers

PMID30733650
PMCPMC6359787
OpenAlexW2922223169

What OpenQuestion holds

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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.