title: Understanding cell signaling in cancer stem cells for targeted therapy - can phosphoproteomics help to reveal the secrets?
abstract: BACKGROUND
  Cancer represents heterogeneous and aberrantly proliferative manifestations composed of (epi)genetically and phenotypically distinct cells with a common clonal origin. Cancer stem cells (CSC) make up a rare subpopulation with the remarkable capacity to initiate, propagate and spread a malignant disease. Furthermore, CSC show increased therapy resistance, thereby contributing to disease relapse. Elimination of CSC, therefore, is a crucial aim to design efficacious treatments for long-term survival of cancer patients. In this article, we highlight the nature of CSC and propose that phosphoproteomics based on unbiased high-performance liquid chromatography-mass spectrometry provides a powerful tool to decipher the molecular CSC programs. Detailed knowledge about the regulation of signaling processes in CSC is a prerequisite for the development of patient-tailored multi-modal treatments including the elimination of rare CSC.
  
  
  METHODS
  Phosphorylation is a crucial post-translational modification regulating a plethora of both intra- and intercellular communication processes in normal and malignant cells. Small-molecule targeting of kinases has proven successful in the therapy, but the high rates of relapse and failure to stem malignant spread suggest that these kinase inhibitors largely spare CSC. Studying the kinetics of global phosphorylation patterns in an unbiased manner is, therefore, required to improve strategies and successful treatments within multi-modal therapeutic regimens by targeting the malignant behavior of CSC. The phosphoproteome comprises all phosphoproteins within a cell population that can be analyzed by phosphoproteomics, allowing the investigation of thousands of phosphorylation events. One major aspect is the perception of events underlying the activation and deactivation of kinases and phosphatases in oncogenic signaling pathways. Thus, not only can this tool be harnessed to better understand cellular processes such as those controlling CSC, but also applied to identify novel drug targets for targeted anti-CSC therapy.
  
  
  CONCLUSIONS
  State-of-the-art phosphoproteomics approaches focusing on single cell analysis have the potential to better understand oncogenic signaling in heterogeneous cell populations including rare, yet highly malignant CSC. By eliminating the influence of heterogeneity of populations, single-cell studies will reveal novel insights also into the inter- and intratumoral communication processes controlling malignant CSC and disease progression, laying the basis for improved rational combination treatments.
authors.affiliation: Department of Molecular Biology, Cancer Cluster Salzburg, Paris-Lodron University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Gruber
authors.affiliation: Department of Molecular Biology, Cancer Cluster Salzburg, Paris-Lodron University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.
authors.forename: Tamara
authors.initials: T
authors.lastname: Scheidt
authors.affiliation: Department of Molecular Biology, Cancer Cluster Salzburg, Paris-Lodron University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria. fritz.aberger@sbg.ac.at.
authors.forename: Fritz
authors.identifier: http://orcid.org/0000-0003-2009-6305
authors.initials: F
authors.lastname: Aberger
authors.affiliation: Department of Molecular Biology, Cancer Cluster Salzburg, Paris-Lodron University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria. c.huber@sbg.ac.at.
authors.forename: Christian G
authors.initials: CG
authors.lastname: Huber
mesh_terms: D006801:Humans; D058990:Molecular Targeted Therapy; D014411:Neoplastic Stem Cells / Q000378:metabolism*; D010750:Phosphoproteins / Q000378:metabolism*; D020543:Proteome / Q000378:metabolism; D040901:Proteomics / Q000379:methods*; D015398:Signal Transduction
chemical_list: D010750:Phosphoproteins; D020543:Proteome
keywords: Cancer stem cells; Kinases; Phospho-signaling; Phosphoproteomics; Tumor cell heterogeneity