Evidence map›Paper›PMID 31096692›Full record

ReviewProteomes2019

Challenges in the Isolation and Proteomic Analysis of Cancer Exosomes-Implications for Translational Research.

Jadwiga Jablonska, Monika Pietrowska, Sonja Ludwig, Stephan Lang, Basant Kumar Thakur

Abstract readReview
In one paragraph

Review in Proteomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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.

Jadwiga JablonskaTranslational Oncology, Department of Otorhinolaryngology, University Hospital Essen, 45147 Essen, Germany. jadwiga.jablonska@uk-essen.de.
Monika PietrowskaCenter for Translational Research and Molecular Biology of Cancer, Maria Sklodowska-Curie Institute⁻Oncology Center, Gliwice Branch, 44-100 Gliwice, Poland. Monika.Pietrowska@io.gliwice.pl.
Sonja LudwigTranslational Oncology, Department of Otorhinolaryngology, University Hospital Essen, 45147 Essen, Germany. ludwigsonja@gmx.net.
Stephan LangDepartment of Otorhinolaryngology, Head and Neck Surgery, University Hospital Essen, 45147 Essen, Germany. stephan.lang@uk-essen.de.
Basant Kumar ThakurCancer Exosome Research Lab, Department of Pediatric Hematology and Oncology, University Hospital Essen, 45147 Essen, Germany. basant-kumar.thakur@uk-essen.de.

Funding

Deutsche Forschungsgemeinschaft JA 2461/2-1Deutsche Forschungsgemeinschaft JA 2461/5-1Deutsche Forschungsgemeinschaft TH 2012/1-1Deutsche Krebshilfe 111647DJCLS 18/R/2017
6 · The paper itself

Abstract

Exosomes belong to the group of extracellular vesicles (EVs) that derive from various cell populations and mediate intercellular communication in health and disease. Like hormones or cytokines, exosomes released by cells can play a potent role in the communication between the cell of origin and distant cells in the body to maintain homeostatic or pathological processes, including tumorigenesis. The nucleic acids, and lipid and protein cargo present in the exosomes are involved in a myriad of carcinogenic processes, including cell proliferation, tumor angiogenesis, immunomodulation, and metastasis formation. The ability of exosomal proteins to mediate direct functions by interaction with other cells qualifies them as tumor-specific biomarkers and targeted therapeutic approaches. However, the heterogeneity of plasma-derived exosomes consistent of (a) exosomes derived from all kinds of body cells, including cancer cells and (b) contamination of exosome preparation with other extracellular vesicles, such as apoptotic bodies, makes it challenging to obtain solid proteomics data for downstream clinical application. In this manuscript, we review these challenges beginning with the choice of different isolation methods, through the evaluation of obtained exosomes and limitations in the process of proteome analysis of cancer-derived exosomes to identify novel protein targets with functional impact in the context of translational oncology.

Indexed as

cancerextracellular vesiclesheterogeneity of exosomesproteomics of exosomestumor progression

Identifiers

PMID31096692
PMCPMC6631388

What OpenQuestion holds

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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.