Evidence map›Paper›PMID 36875773›Full record

ArticleFrontiers in cell and developmental biology2023

Expression level of CD117 (KIT) on ovarian cancer extracellular vesicles correlates with tumor aggressiveness.

Polina V Shnaider, Irina Yu Petrushanko, Olga I Aleshikova, Nataliya A Babaeva, Lev A Ashrafyan, Ekaterina I Borovkova, Julia E Dobrokhotova, Ivan M Borovkov, Victoria O Shender, Elena Khomyakova

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 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
2.3field-weighted citation impact, top 12% 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, 15 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

10 authors at 6 institutions in 1 country.

Polina V ShnaiderCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.
Irina Yu PetrushankoEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Olga I AleshikovaNational Medical Scientific Centre of Obstetrics, Gynaecology and Perinatal Medicine named after V.I. Kulakov, Moscow, Russia.
Nataliya A BabaevaNational Medical Scientific Centre of Obstetrics, Gynaecology and Perinatal Medicine named after V.I. Kulakov, Moscow, Russia.
Lev A AshrafyanNational Medical Scientific Centre of Obstetrics, Gynaecology and Perinatal Medicine named after V.I. Kulakov, Moscow, Russia.
Ekaterina I BorovkovaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Julia E DobrokhotovaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Ivan M BorovkovDepartment of Oncology and Hematology, RUDN University, Moscow, Russia.
Victoria O ShenderLaboratory of Molecular Oncology, Federal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency, Moscow, Russia.
Elena KhomyakovaExosome Analytics, Evry, France.
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of the Russian Federation · RUPirogov Russian National Research Medical University · RUEngelhardt Institute of Molecular Biology · RUFederal Medical-Biological Agency · RUInstitute of Bioorganic Chemistry · RUPeoples' Friendship University of Russia · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is known to be the most lethal malignancy among all gynecological cancers affecting a large number of women worldwide. The treatment of ovarian cancer is challenging due to the high recurrence rate of the disease and is further complicated by acquired chemoresistance. Most ovarian cancer deaths are the result of the metastatic spread of drug-resistant cells. The theory of cancer stem cells (CSC) suggests that both tumor initiation and progression are driven by a population of undifferentiated capable of self-renewal, tumor initiation and development of chemoresistance. The CD117 mast/stem cell growth factor receptor (KIT) is the most commonly used marker for ovarian CSCs. Here, we analyze the correlation between CD117 expression and histological tumor type in ovarian cancer cell lines (SK-OV-3 and MES-OV) and in small/medium extracellular vesicles (EVs) isolated from the urine of ovarian cancer patients. We have demonstrated that the abundance of CD117 on cells and EVs is correlated with tumor grade and therapy resistance status. Moreover, using small EVs isolated from ovarian cancer ascites, it was shown that recurrent disease is characterized by a much higher abundance of CD117 on EVs than primary tumor.

Indexed as

CD117chemoresistanceEpCAMEVSextracellular vesiclesliquid biopsyovarian cancerprognositic biomarkers

Identifiers

PMID36875773
PMCPMC9978408
OpenAlexW4321109536

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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.