Evidence map›Paper›PMID 33773551›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Exosomal Protease Cargo as Prognostic Biomarker in Colorectal Cancer.

Natalia V Yunusova, Elena A Zambalova, Marina R Patysheva, Elena S Kolegova, Sergey G Afanas'ev, Olga V Cheremisina, Alina E Grigor'eva, Svetlana N Tamkovich, Irina V Kondakova

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Prognostic value of extracellular vesicles in colorectal cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

9 authors at 4 institutions in 1 country.

Natalia V YunusovaCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.ORCID 0000-0001-5629-8908
Elena A ZambalovaCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Marina R PatyshevaCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Elena S KolegovaCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Sergey G Afanas'evCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Olga V CheremisinaCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Alina E Grigor'evaLaboratory of Molecular Medicine, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
Svetlana N TamkovichLaboratory of Molecular Medicine, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
Irina V KondakovaCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.ORCID 0000-0003-0907-4615
Russian Academy of Sciences · RUTomsk National Research Medical Center · RUInstitute of Chemical Biology and Fundamental Medicine · RUSiberian Branch of the Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to develop a model for predicting cancer risk in colorectal polyps' patients (CPPs), as well as to reveal additional prognosis factors for Stage III colorectal cancer based on differences in subpopulations of tetraspanins, tetraspanin-associated and tetraspanin-non-associated proteases in blood plasma exosomes of CPPs and colorectal cancer patients (CRCPs).

methodsThe subpopulations of CD151- and Tspan8-positive exosomes, the subpopulations of metalloproteinase at the surface of СD9-positive exosomes and the level of 20S proteasomes in plasma exosomes in 15 CPPs (tubulovillous adenomas) and 60 CRCPs were evaluated using flow cytometry and Western blotting. Logistic regression analysis was performed to predict cancer risk of CPPs.

resultsThe levels of 20S proteasomes in exosomes, MMP9+, MMP9+/MMP2+/EMMPRIN+ in CD9-positive blood plasma exosomes are associated with the risk of malignant transformation of colorectal tubulovillous adenomas.  In patients with Stage III CRC, the levels of 20S proteasomes (less than 2 units) and MMP9+ subpopulations (more than 61%) in plasma exosomes are unfavorable prognostic factors for overall survival. The levels of 20S proteasomes and ADAM10+/ADAM17- subpopulations in CD9-positive blood plasma exosomes are the most significant values for predicting relapse-free survival.

conclusionProtease cargo in CD9-positive blood plasma exosomes is prognostic biomarker for colorectal polyps and colorectal cancer.

Indexed as

AdenomaAdenoma, VillousBasiginCarcinomaColonic PolypsColorectal NeoplasmsExosomesFemaleHumansIntestinal PolypsMaleMatrix Metalloproteinase 2Matrix Metalloproteinase 9Middle AgedNeoplasm GradingNeoplasm StagingBasiginBSG protein, humanMatrix Metalloproteinase 2Matrix Metalloproteinase 9MMP2 protein, humanMMP9 protein, humanPeptide HydrolasesProteasome Endopeptidase ComplexTetraspanin 24TetraspaninsTSPAN8 protein, humanCD151metalloproteinases, 20S proteasome, colorectal cancerplasma exosomes

Identifiers

PMID33773551
PMCPMC8286660
OpenAlexW3141684853

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.