Proteomic and metabolomic profiles of plasma-derived Extracellular Vesicles differentiate melanoma patients from healthy controls

The results further support the continued investigation of circulating plasma-derived EVs as biomarkers in melanoma. Furthermore, the potential of combined proteo-metabolomic signatures for differentiation between disease stages may provide valuable insights into early detection, prognosis, and personalised treatment strategies.

Authors

Institutions

Publication Details

Journal
Translational Oncology
Published
2024-10-13
DOI
https://doi.org/10.1016/j.tranon.2024.102152
Citations
14
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
3.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proteomic and metabolomic profiles of plasma-derived Extracellular Vesicles differentiate melanoma patients from healthy controls

Arjun Ajaykumar, Brendan S. Kelly, M. Bruce Shields, Michelle Wilson et al.
14 citations
Translational Oncology
Extracellular vesicles in disease
3.27
article

Proteomic and metabolomic profiles of plasma-derived Extracellular Vesicles differentiate melanoma patients from healthy controls

Arjun Ajaykumar, Brendan S. Kelly, M. Bruce Shields, Michelle Wilson, Stephanie M. Bollard, Robert Milling, Amanda McCann, K O'Donnell, Shirley Potter, Cristina Casalou, Jane Howard, J. N. O'Reilly, Kieran J. Wynne, K. Triana, DJ Tobin, P A Kelly, G Fenn
article en
14 citations

Abstract

The results further support the continued investigation of circulating plasma-derived EVs as biomarkers in melanoma. Furthermore, the potential of combined proteo-metabolomic signatures for differentiation between disease stages may provide valuable insights into early detection, prognosis, and personalised treatment strategies.

Translational OncologyVol. 50
University College Dublin (IE), Mater Misericordiae University Hospital (IE)
Canadian Institute for Theoretical Astrophysics, Wellcome Trust, Health Service Executive, Science Foundation Ireland, University College Dublin
Zero hunger
Openalex Percentile: Top 7%
Extracellular vesicles in disease
3.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.