agreement analysis

agreement analysisBenjamin Balluff, Christian K. Frese, Stefan K. Maier, Cédrik Schöne, Bernhard Kuster, Manfred Schmitt, Michaela Aubele, Heinz Höfler, André M. Deelder, Albert J.R. Heck, Pancras C.W. Hogendoorn, Johannes Morreau, A.F. Maarten Altelaar, Axel Walch and Liam A. McDonnell
J Pathol. 2015 Jan; 235(1):3-13. Epub 2014 Nov 3.

An essential and so far unresolved factor influencing the evolution of cancer and the clinical management of patients is intra-tumor clonal and phenotypic heterogeneity. However, the de novo identification of tumor subpopulations is a so far challenging, if not an unresolved, task. Here we present the first systematic approach for the de novo discovery of clinically detrimental molecular tumor subpopulations. In this proof-of-principle study, spatially-resolved, tumor-specific mass spectra were acquired using matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry from tissues of 63 gastric carcinoma and 32 breast carcinoma patients. The mass spectra, representing the proteomic heterogeneity within tumor areas, were grouped by a corroborated statistical clustering algorithm in order to obtain segmentation maps of molecularly distinct regions. These regions were presumed to represent different phenotypic tumor subpopulations. This was confirmed by linking the presence of these tumor subpopulations to the patients’ clinical data. This revealed several of the detected tumor subpopulations to be associated with a different overall survival of the gastric cancer patients (P = 0.025) and the presence of locoregional metastases in patients with breast cancer (P = 0.036). The procedure presented is generic and opens novel options in cancer research as it reveals microscopically indistinct tumor subpopulations that have an adverse impact on clinical outcome. This enables their further molecular characterization for deeper insights into the biological processes of cancer which may finally lead to new targeted therapies.



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