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• W2289369916 abstract "A multianalyte algorithmic assay (MAAA) identifies circulating neuroendocrine tumor (NET) transcripts ( n =51) with a sensitivity/specificity of 98%/97%. We evaluated whether blood measurements correlated with tumor tissue transcript analysis. The latter were segregated into gene clusters (GC) that defined clinical ‘hallmarks’ of neoplasia. A MAAA/cluster integrated algorithm (CIA) was developed as a predictive activity index to define tumor behavior and outcome. We evaluated three groups. Group 1: publically available NET transcriptome databases ( n =15; GeneProfiler). Group 2: prospectively collected tumors and matched blood samples ( n =22; qRT-PCR). Group 3: prospective clinical blood samples, n =159: stable disease (SD): n =111 and progressive disease (PD): n =48. Regulatory network analysis, linear modeling, principal component analysis (PCA), and receiver operating characteristic analyses were used to delineate neoplasia ‘hallmarks’ and assess GC predictive utility. Our results demonstrated: group 1: NET transcriptomes identified (92%) genes elevated. Group 2: 98% genes elevated by qPCR (fold change >2, P <0.05). Correlation analysis of matched blood/tumor was highly significant ( R 2 =0.7, P <0.0001), and 58% of genes defined nine omic clusters (SSTRome, proliferome, signalome, metabolome, secretome, epigenome, plurome, and apoptome). Group 3: six clusters (SSTRome, proliferome, metabolome, secretome, epigenome, and plurome) differentiated SD from PD (area under the curve (AUC)=0.81). Integration with blood-algorithm amplified the AUC to 0.92±0.02 for differentiating PD and SD. The CIA defined a significantly lower SD score (34.1±2.6%) than in PD (84±2.8%, P <0.0001). In conclusion, circulating transcripts measurements reflect NET tissue values. Integration of biologically relevant GC differentiate SD from PD. Combination of GC data with the blood-algorithm predicted disease status in >92%. Blood transcript measurement predicts NET activity." @default.
• W2289369916 created "2016-06-24" @default.
• W2289369916 creator A5009119423 @default.
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• W2289369916 date "2015-06-02" @default.
• W2289369916 modified "2023-10-14" @default.
• W2289369916 title "Blood and tissue neuroendocrine tumor gene cluster analysis correlate, define hallmarks and predict disease status" @default.
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• W2289369916 doi "https://doi.org/10.1530/erc-15-0092" @default.
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