Evidence map›Paper›PMID 37241967›Full record

ArticleMolecules (Basel, Switzerland)2023

Proteomic Signature of Extracellular Vesicles Associated with Colorectal Cancer.

Natalia Soloveva, Svetlana Novikova, Tatiana Farafonova, Olga Tikhonova, Victor Zgoda

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Natalia SolovevaOrekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia.ORCID 0000-0002-8940-1454
Svetlana NovikovaOrekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia.
Tatiana FarafonovaOrekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia.
Olga TikhonovaOrekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia.
Victor ZgodaOrekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia.
Institute of Biomedical Chemistry · RU

Funding

The Ministry of Education and Science of the Russian Federation 075-15-2021-933
6 · The paper itself

Abstract

The proteins of extracellular vesicles (EVs) provide proteomic signatures that reflect molecular features of EV-producing cells, including cancer cells. Detection of cancer cell EV proteins is of great interest due to the development of novel predictive diagnostic approaches. Using targeted mass spectrometry with stable-isotope-labeled peptide standards (SIS), we measured in this study the levels of 34 EV-associated proteins in vesicles and whole lysate derived from the colorectal cancer (CRC) cell lines Caco-2, HT29 and HCT116. We also evaluated the abundance of 13 EV-associated proteins (FN1, TLN1, ITGB3, HSPA8, TUBA4A, CD9, CD63, HSPG2, ITGB1, GNAI2, TSG101, PACSIN2, and CDC42) in EVs isolated from blood plasma samples from 11 CRC patients and 20 healthy volunteers. Downregulation of TLN1, ITGB3, and TUBA4A with simultaneous upregulation of HSPG2 protein were observed in cancer samples compared to healthy controls. The proteomic cargo of the EVs associated with CRC represents a promising source of potential prognostic markers.

Indexed as

Colorectal NeoplasmsExtracellular VesiclesCaco-2 CellsHumansProteomicscolorectal cancerextracellular vesiclesmass spectrometryproteomic signatureSRMstable-isotope-labeled peptide standards

Identifiers

PMID37241967
PMCPMC10222552
OpenAlexW4377293981

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.