The software package jMRUI with Java-based graphical user interface enables user-friendly time-domain analysis of magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) and HRMAS-NMR signals. Version 3.x has been distributed in more than 1200 groups or hospitals worldwide. The new version 4.x is a plug-in platform enabling the users to add their own algorithms. Moreover, it offers new functionalities compared to versions 3.x. The quantum-mechanical simulator based on NMR-SCOPE, the quantitation algorithm QUEST and the main MRSI functionalities are described. Quantitation results of signals obtained in vivo from a mouse and a human brain are given.

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Purpose Despite initial sensitivity to chemotherapy, ovarian cancers (OVCA) often develop drug-resistance, which limits patient survival. Using specimens and/or genomic data from 289 patients and a panel of cancer cell lines, we explored genome-wide expression changes that underlie the evolution of OVCA chemo-resistance and characterized the BCL2 antagonist of cell death (BAD) apoptosis pathway as a determinant of chemo-sensitivity and patient survival. Experimental Design Serial OVCA cell cisplatin treatments were performed in parallel with measurements of genome-wide expression changes. Pathway analysis was performed on genes associated with increasing cisplatin-resistance (EC50). BAD-pathway expression and BAD-protein phosphorylation were evaluated in patient samples and cell lines as determinants of chemo-sensitivity and/or clinical outcome and as therapeutic targets. Results Induced in vitro OVCA cisplatin-resistance was associated with BAD-pathway expression (P < 0.001). In OVCA cell lines and primary specimens, BAD-protein phosphorylation was associated with platinum-resistance (n = 147, P < 0.0001) and also with overall patient survival (n = 134, P = 0.0007). Targeted modulation of BAD-phosphorylation levels influenced cisplatin sensitivity. A 47-gene BAD-pathway score was associated with in vitro phosphorylated-BAD levels and with survival in 142 patients with advanced-stage (III/IV) serous OVCA. Integration of BAD-phosphorylation or BAD-pathway score with OVCA surgical cytoreductive status was significantly associated with overall survival by log-rank test (P = 0.004 and <0.0001, respectively). Conclusion The BAD apoptosis pathway influences OVCA chemo-sensitivity and overall survival, likely via modulation of BAD-phosphorylation. The pathway has clinical relevance as a biomarker of therapeutic response, patient survival, and as a promising therapeutic target.