Evidence map›Paper›PMID 33808296›Full record

ArticleDiagnostics (Basel, Switzerland)2021

CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer.

Eun-Sook Choi, Hasan Al Faruque, Jung-Hee Kim, Kook Jin Kim, Jin Eun Choi, Bo A Kim, Bora Kim, Ye Jin Kim, Min Hee Woo, Jae Yong Park and 5 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 57 citations in OpenAlex.

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  4. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
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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

15 authors at 5 institutions in 1 country.

Eun-Sook ChoiDivision of Bi-Fusion Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-jungangdaero 333, Dague 42988, Korea.
Hasan Al FaruqueDivision of Bi-Fusion Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-jungangdaero 333, Dague 42988, Korea.ORCID 0000-0001-5003-7053
Jung-Hee KimDivision of Electronic Information System Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-Jungangdaero 333, Dague 42988, Korea.
Kook Jin KimGenomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea.
Jin Eun ChoiDepartment of Biochemistry, School of Medicine, Kyungpook National University, Daegu 41944, Korea.
Bo A KimGenomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea.
Bora KimGenomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea.
Ye Jin KimGenomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea.
Min Hee WooGenomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea.
Jae Yong ParkDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Korea.
Keun HurDepartment of Biochemistry, School of Medicine, Kyungpook National University, Daegu 41944, Korea.ORCID 0000-0002-6944-2718
Mi-Young LeeDepartment of Medical Science, Soonchunhyang University, Asan 31538, Korea.
Dong Su KimGenomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea.
Shin Yup LeeDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Korea.
Eunjoo KimDivision of Electronic Information System Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-Jungangdaero 333, Dague 42988, Korea.
Pohang TechnoPark (South Korea) · KRDaegu Gyeongbuk Institute of Science and Technology · KRKyungpook National University · KRKyungpook National University Hospital · KRSoonchunhyang University · KR

Funding

The Ministry of Trade, Industry & Energy (MOTIE) of Korea 10077559
6 · The paper itself

Abstract

Cancer screening and diagnosis can be achieved by analyzing specific molecules within serum-derived extracellular vesicles (EVs). This study sought to profile EV-derived proteins to identify potential lung cancer biomarkers. EVs were isolated from 80 serum samples from healthy individuals and cancer patients via polyethylene glycol (PEG)-based precipitation and immunoaffinity separation using antibodies against CD9, CD63, CD81, and EpCAM. Proteomic analysis was performed using 2-D gel electrophoresis and matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS). The expression of proteins that were differentially upregulated in the EVs or tissue of lung cancer samples was validated by Western blotting. The area under the curve (AUC) was calculated to assess the predictability of each differentially expressed protein (DEP) for lung cancer. A total of 55 upregulated protein spots were selected, seven of which (CD5L, CLEC3B, ITIH4, SERFINF1, SAA4, SERFINC1, and C20ORF3) were found to be expressed at high levels in patient-derived EVs by Western blotting. Meanwhile, only the expression of EV CD5L correlated with that in cancer tissues. CD5L also demonstrated the highest AUC value (0.943) and was found to be the core regulator in a pathway related to cell dysfunction. Cumulatively, these results show that EV-derived CD5L may represent a potential biomarker-detected via a liquid biopsy-for the noninvasive diagnosis of lung cancer.

Indexed as

2-D gel electrophoresisbiomarkerCD5Lexosomeextracellular vesicleliquid biopsylung cancerproteomics

Identifiers

PMID33808296
PMCPMC8067192
OpenAlexW3141114829

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.