Evidence map›Paper›PMID 34684727›Full record

ArticleMolecules (Basel, Switzerland)2021

Proteomic Signature of Extracellular Vesicles for Lung Cancer Recognition.

Svetlana E Novikova, Natalia A Soloveva, Tatiana E Farafonova, Olga V Tikhonova, Pao-Chi Liao, Victor G Zgoda

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

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  6. Extracellular vesicles as modulators of cancer metabolism and microenvironment.Extracellular vesicles and circulating nucleic acids · 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

6 authors at 2 institutions in 2 countries.

Svetlana E NovikovaOrekhovich Institute of Biomedical Chemistry, Russian Academy of Medical Sciences, Pogodinskaya 10, 119121 Moscow, Russia.ORCID 0000-0003-2777-2476
Natalia A SolovevaOrekhovich Institute of Biomedical Chemistry, Russian Academy of Medical Sciences, Pogodinskaya 10, 119121 Moscow, Russia.
Tatiana E FarafonovaOrekhovich Institute of Biomedical Chemistry, Russian Academy of Medical Sciences, Pogodinskaya 10, 119121 Moscow, Russia.
Olga V TikhonovaOrekhovich Institute of Biomedical Chemistry, Russian Academy of Medical Sciences, Pogodinskaya 10, 119121 Moscow, Russia.ORCID 0000-0002-2810-566X
Pao-Chi LiaoDepartment of Environmental and Occupational Health, College of Medicine, National Cheng-Kung University, 1 Dasyue Rd., East District, Tainan 701, Taiwan.
Victor G ZgodaOrekhovich Institute of Biomedical Chemistry, Russian Academy of Medical Sciences, Pogodinskaya 10, 119121 Moscow, Russia.ORCID 0000-0002-4532-4274
Institute of Biomedical Chemistry · RUNational Cheng Kung University · TW

Funding

Russian Science Fundation 21-74-20122
6 · The paper itself

Abstract

The proteins of extracellular vesicles (EVs) that originate from tumors reflect the producer cells' proteomes and can be detected in biological fluids. Thus, EVs provide proteomic signatures that are of great interest for screening and predictive cancer diagnostics. By applying targeted mass spectrometry with stable isotope-labeled peptide standards, we assessed the levels of 28 EV-associated proteins, including the conventional exosome markers CD9, CD63, CD81, CD82, and HSPA8, in vesicles derived from the lung cancer cell lines NCI-H23 and A549. Furthermore, we evaluated the detectability of these proteins and their abundance in plasma samples from 34 lung cancer patients and 23 healthy volunteers. The abundance of TLN1, TUBA4A, HSPA8, ITGB3, TSG101, and PACSIN2 in the plasma of lung cancer patients was measured using targeted mass spectrometry and compared to that in plasma from healthy volunteers. The most diagnostically potent markers were TLN1 (AUC, 0.95), TUBA4A (AUC, 0.91), and HSPA8 (AUC, 0.88). The obtained EV proteomic signature allowed us to distinguish between the lung adenocarcinoma and squamous cell carcinoma histological types. The proteomic cargo of the extracellular vesicles represents a promising source of potential biomarkers.

Indexed as

AgedBiomarkers, TumorCell Line, TumorExosomesExtracellular VesiclesFemaleHumansLung NeoplasmsMaleMass SpectrometryMiddle AgedPlasmaProteomeProteomicsBiomarkers, TumorProteomeextracellular vesicleslung cancermass spectrometryproteomic signatureSRMstable isotope-labeled peptide standards

Identifiers

PMID34684727
PMCPMC8539600
OpenAlexW3206865551

What OpenQuestion 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 OpenQuestion graph.