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. 2016 Dec 5;6:38507. doi: 10.1038/srep38507

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Copyright © 2016, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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(A) Probabilistic Latent Semantic Analysis (pLSA) of MCTS (with DDTC derivatization). The MCTS were treated for 15 or 90 min. Drug clearance was evaluated at 2, 6, 12, and 24 h post 90 min treatment. pLSA was able to separate spectra from oxaliplatin treated and untreated MCTS in the first component as shown in the Score Plot. The score images show that Component 1 and Component 2 depict completely different distribution patterns in the dataset. (B) Loading plots illustrate the Pt(DDTC)2, Pt(DDTC)3 signals (m/z 491 and 639) and the Pt(DACH)(Met) metabolite, also known as the monomethionine metabolite (m/z 457), are in the first component. (C) MALDI IMS images of HIPEC treated MCTS and the relative distribution of Pt species. (D) Average signal intensities of Pt species from MALDI IMS results.