Genomic index predicts clinical outcome of intermediate-risk gastrointestinal stromal tumours, providing a new inclusion criterion for imatinib adjuvant therapy

2015 
Abstract Purpose Imatinib mesylate is the front-line targeted therapy for gastrointestinal stromal tumours (GISTs). Patient’s eligibility to adjuvant imatinib after primary tumour resection is currently based on histological and clinical risk assessment. While therapeutic options are clear for the very-low, low and high-risk subpopulations, no standard is actually available for the tumours classified as intermediate. Since we recently validated genomic index (GI), a measure of the level of genomic alterations, as a strong predictor of clinical outcome in GIST, we asked whether it could also represent a novel prognostic factor for the intermediate subgroup. Experimental design 82 intermediate risk patients were selected based on the Armed Forces Institute of Pathology (AFIP) classification for genomic profiling. Results Data revealed that even if studied samples generally harboured a combination of the typical genetic aberrations found in GIST, i.e. 1p, 14q 22q deletions and frequently lost CDKN2A locus on chromosome 9, they profoundly differed from each other on the total number of genomic changes and GI value. Kaplan–Meier analyses of metastatic-free survival unveiled that stratification of the tumours by the GI value at a cutoff of 10 separated the good from the poor prognosis patients, proven that metastatic-risk in GIST intermediate patients is strongly associated with high GI values and genome complexity. Conclusion GI is validated here as a robust marker to predict intermediate-GIST clinical outcome. Applicable in numerous Pathology Laboratories already using array comparative genomic hybridisation (CGH) with formalin-fixed paraffin-embedded (FFPE) samples, this assay presently stands as an efficient tool for the clinical management of intermediate GIST-patients.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    40
    References
    14
    Citations
    NaN
    KQI
    []