title: Applications of Mass Spectrometry Imaging to Cancer.
abstract: Pathologists play an essential role in the diagnosis and prognosis of benign and cancerous tumors. Clinicians provide tissue samples, for example, from a biopsy, which are then processed and thin sections are placed onto glass slides, followed by staining of the tissue with visible dyes. Upon processing and microscopic examination, a pathology report is provided, which relies on the pathologist's interpretation of the phenotypical presentation of the tissue. Targeted analysis of single proteins provide further insight and together with clinical data these results influence clinical decision making. Recent developments in mass spectrometry facilitate the collection of molecular information about such tissue specimens. These relatively new techniques generate label-free mass spectra across tissue sections providing nonbiased, nontargeted molecular information. At each pixel with spatial coordinates (x/y) a mass spectrum is acquired. The acquired mass spectrums can be visualized as intensity maps displaying the distribution of single m/z values of interest. Based on the sample preparation, proteins, peptides, lipids, small molecules, or glycans can be analyzed. The generated intensity maps/images allow new insights into tumor tissues. The technique has the ability to detect and characterize tumor cells and their environment in a spatial context and combined with histological staining, can be used to aid pathologists and clinicians in the diagnosis and management of cancer. Moreover, such data may help classify patients to aid therapy decisions and predict outcomes. The novel complementary mass spectrometry-based methods described in this chapter will contribute to the transformation of pathology services around the world.
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
authors.forename: G
authors.initials: G
authors.lastname: Arentz
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
authors.forename: P
authors.initials: P
authors.lastname: Mittal
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
authors.forename: C
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.
authors.forename: Y-Y
authors.initials: YY
authors.lastname: Ho
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia; ARC Centre for Nanoscale BioPhotonics (CNBP), University of Adelaide, Adelaide, SA, Australia.
authors.forename: M
authors.initials: M
authors.lastname: Briggs
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.
authors.forename: L
authors.initials: L
authors.lastname: Winderbaum
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
authors.forename: M K
authors.initials: MK
authors.lastname: Hoffmann
authors.affiliation: Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia. Electronic address: peter.hoffmann@adelaide.edu.au.
authors.forename: P
authors.initials: P
authors.lastname: Hoffmann
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor / Q000378:metabolism*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D057054:Molecular Imaging / Q000379:methods*; D009369:Neoplasms / Q000378:metabolism / Q000473:pathology*
chemical_list: D014408:Biomarkers, Tumor
keywords: Cancer; Classification; Imaging; MALDI; Mass spectrometry; Prediction