Clinical applications of MALDI imaging technologies in cancer and neurodegenerative diseases

Ucal Y., Durer Z. A., Atak H., Kadioglu E., Sahin B., COŞKUN A., ...More

BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS, vol.1865, no.7, pp.795-816, 2017 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Review
  • Volume: 1865 Issue: 7
  • Publication Date: 2017
  • Doi Number: 10.1016/j.bbapap.2017.01.005
  • Journal Name: BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.795-816
  • Keywords: MALDI-IMS, Cancer, Neurodegenerative diseases, Clinical application, SQUAMOUS-CELL CARCINOMA, LYSOPHOSPHATIDYLCHOLINE ACYLTRANSFERASE 1, IONIZATION MASS-SPECTROMETRY, PARAFFIN-EMBEDDED TISSUE, HUMAN COLORECTAL-CANCER, BLOOD-BRAIN-BARRIER, FATTY-ACID SYNTHASE, HUMAN-BREAST-CANCER, IN-SOURCE DECAY, PROTEOMIC ANALYSIS
  • Acibadem Mehmet Ali Aydinlar University Affiliated: Yes

Abstract

Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) enables localization of analytes of interest along with histology. More specifically, MALDI-IMS identifies the distributions of proteins, peptides, small molecules, lipids, and drugs and their metabolites in tissues, with high spatial resolution. This unique capacity to directly analyze tissue samples without the need for lengthy sample preparation reduces technical variability and renders MALDI-IMS ideal for the identification of potential diagnostic and prognostic biomarkers and disease gradation. MALDI-IMS has evolved rapidly over the last decade and has been successfully used in both medical and basic research by scientists worldwide. In this review, we explore the clinical applications of MALDI-IMS, focusing on the major cancer types and neurodegenerative diseases. In particular, we re-emphasize the diagnostic potential of IMS and the challenges that must be confronted when conducting MALDI-IMS in clinical settings. (C) 2017 Elsevier B.V. All rights reserved.