TY - JOUR AB - Mass spectrometry imaging (MSI) provides the opportunity toinvestigate tumor biology from an entirely novel biochemicalperspective and could lead to the identification of a new pool ofcancer biomarkers. Effective clinical translation of histology-drivenMSI in systems oncology requires precise colocalization of morphologicaland biochemical features as well as advanced methodsfor data treatment and interrogation. Currently proposed MSIworkflows are subject to several limitations, including nonoptimizedraw data preprocessing, imprecise image coregistration,and limited pattern recognition capabilities. Here we outline acomprehensive strategy for histology-driven MSI, using desorptionelectrospray ionization that covers (i) optimized data preprocessingfor improved information recovery; (ii) precise imagecoregistration; and (iii) efficient extraction of tissue-specific molecularion signatures for enhanced biochemical distinction of differenttissue types. The proposed workflow has been used to investigateregion-specific lipid signatures in colorectal cancer tissue. Uniquelipid patterns were observed using this approach according totissue type, and a tissue recognition system using multivariatemolecular ion patterns allowed highly accurate (>98%) identificationof pixels according to morphology (cancer, healthy mucosa,smooth muscle, and microvasculature). This strategy offers uniqueinsights into tumor microenvironmental biochemistry and shouldfacilitate compilation of a large-scale tissue morphology-specificMSI spectral database with which to pursue next-generation, fullyautomated histological approaches. AU - Veselkov,KA AU - Mirnezami,R AU - Strittmatter,N AU - Goldin,RD AU - Kinross,J AU - Speller,AVM AU - Abramov,T AU - Jones,EA AU - Darzi,A AU - Holmes,E AU - Nicholson,JK AU - Takats,Z DO - 10.1073/pnas.1310524111 EP - 1221 PY - 2014/// SN - 0027-8424 SP - 1216 TI - Chemo-informatic strategy for imaging mass spectrometry-based hyperspectral profiling of lipid signatures in colorectal cancer T2 - Proceedings of the National Academy of Sciences of the United States of America UR - http://dx.doi.org/10.1073/pnas.1310524111 UR - https://www.pnas.org/content/111/3/1216/ UR - http://hdl.handle.net/10044/1/53861 VL - 111 ER -