# Ultrasensitive Immunoprofiling of Plasma Extracellular Vesicles Identifies Syndecan-1 as a Potential Tool for Minimally Invasive Diagnosis of Glioma

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ultrasensitive-immunoprofiling-of-plasma-extracellular-vesicles-identifies/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vineesh Indira Chandran,Charlotte Welinder,Ann‐Sofie Månsson,Svenja Offer,Eva Freyhult,Maria Pernemalm,Sigrid Marie Lund,Shona Pedersen,Janne Lehtiö,György Marko‐Varga,Maria C. Johansson,Elisabet Englund,Pia C. Sundgren,Mattias Belting |
| Citations | 114 |
| DOI | 10.1158/1078-0432.ccr-18-2946 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2911953492 |
| PMID | 30679164 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Maria C. Johansson](https://scholariq.org/researchers/maria-c-johansson/)

## Paper journal

- [Clinical Cancer Research](https://scholariq.org/journals/clinical-cancer-research/)

## Paper primary topic

- [Extracellular vesicles in disease](https://scholariq.org/topics/extracellular-vesicles-in-disease/)

## Paper topics

- [Extracellular vesicles in disease](https://scholariq.org/topics/extracellular-vesicles-in-disease/)
- [MicroRNA in disease regulation](https://scholariq.org/topics/microrna-in-disease-regulation/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.