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Supplementary Table 2. The most important miRNA predicted as potential regulators of Neuroactive ligand-receptor interaction signature genes.

Copy number alterations on chromosome 1, 14 and 22 with the related genes of Cancer Gene Census

Supplementary Table 1. Significative pathways found by functional enrichment analysis with WEB-based GEne SeT AnaLysis Toolkit.

Graphical view of copy number analysis. Copy number alterations detected on the chromosomes most frequently deleted in GIST (chr1, chr14 and chr22). For each patient a green bar indicates an heterozygously deleted region and a red bar indicates a gain of one copy.

Quadruple wild-type (WT) gastrointestinal stromal tumor (GIST) is a genomic subgroup lacking KIT/PDGFRA/RAS pathway mutations, with an intact succinate dehydrogenase (SDH) complex. The aim of this work is to perform a wide comprehensive genomic study on quadruple WT GIST to improve the characterization of these patients. We selected 14 clinical cases of quadruple WT GIST, of which nine cases showed sufficient DNA quality for whole exome sequencing (WES). NF1 alterations were identified directly by WES. Gene expression from whole transcriptome sequencing (WTS) and miRNA profiling were performed using fresh-frozen, quadruple WT GIST tissue specimens and compared with SDH and KIT/PDGFRA-mutant GIST. WES identified an average of 18 somatic mutations per sample. The most relevant somatic oncogenic mutations identified were in TP53, MEN1, MAX, FGF1R, CHD4, and CTDNN2. No somatic alterations in NF1 were identified in the analyzed cohort. A total of 247 mRNA transcripts and 66 miRNAs were differentially expressed specifically in quadruple WT GIST. Overexpression of specific molecular markers (COL22A1 and CALCRL) and genes involved in neural and neuroendocrine lineage (ASCL1, Family B GPCRs) were detected and further supported by predicted miRNA target analysis. Quadruple WT GIST show a specific genetic signature that deviates significantly from that of KIT/PDGFRA-mutant and SDH-mutant GIST. Mutations in MEN1 and MAX genes, a neural-committed phenotype and upregulation of the master neuroendocrine regulator ASCL1, support a genetic similarity with neuroendocrine tumors, with whom they also share the great variability in oncogenic driver genes.Implications: This study provides novel insights into the biology of quadruple WT GIST that potentially resembles neuroendocrine tumors and should promote the development of specific therapeutic approaches. Mol Cancer Res; 15(5); 553–62. ©2017 AACR.

High-confidence somatic SNV and inDel

Validation of fusion genes identified in GIST127. For each fusion, a schematic representation of the chimeric gene is reported with the 5' gene exons in red and the 3' gene exons in green (full boxes: coding exons; empty boxes: non-coding exons). The chromatogram of the breakpoint and the predicted aminoacid sequence are shown below (in light red the aminoacids from the gene in 5', in light green the aminoacids from the gene in 3', and in violet the novel aminoacids deriving from the fusion event).

The availability of multiple options for chronic myeloid leukemia (CML) treatment is not paralleled by the availability of biological predictors of outcome allowing to identify patients (pts) who are more likely to benefit from dasatinib or nilotinib rather than imatinib (IM). We thus investigated a panel of 20 SNPs in ABCB1, ABCG2, SLC22A1, OCTN1, CYP3A4 and CYP3A5 genes that can be hypothesized to influence IM transport and metabolism in 189 newly diagnosed CML pts enrolled in the TOPS phase III trial (Cortes et al, J Clin Oncol 2010). Median age was 46 yrs; male to female ratio was 103:86; 156 (83%) pts were Caucasian and 23 (12%) were Asian; low, intermediate and high Sokal risk pts were 84 (44.4%), 65 (34.4%) and 40 (21.2%), respectively. Baseline demographic/clinical features did not differ significantly from those of the entire population enrolled. Treatment outcomes (major molecular response [MMR]; complete molecular response [CMR]) were compared according to i) each candidate genotype ii) summary measures based on combinations of SNPs in the same gene and iii) summary measures based on combinations of SNPs in functionally related genes (uptake; efflux). Additive models, with SNPs represented as number of major alleles, were used. Significant results are summarized in the Table below and will be presented in detail. Cumulative incidence plots were also analysed, with similar results. Our data suggest that in CML pts, genotyping should be taken into account in an attempt to further individualize treatment, with the aim of enhancing efficacy in terms of MMR and CMR achievement. On the basis of our findings, stratification of pts according to genotypes may be proposed for selection between IM and second generation TKIs, and represents an attractive opportunity for new clinical trials. Supported by Novartis, TOPS Correlative Studies Network Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 5448. doi:10.1158/1538-7445.AM2011-5448