35RNA sequencing is emerging as a powerful technique to detect a diverse array of fusions in 36 human neoplasia, but few clinically validated assays have been described to date. We designed 37 and validated a hybrid-capture RNAseq assay for FFPE tissue (Fusion-STAMP). It fully targets 38 the transcript isoforms of 43 genes selected for their known impact as actionable targets of 39 existing and emerging anti-cancer therapies (especially in lung adenocarcinomas), prognostic 40 features, and/or utility as diagnostic cancer biomarkers (especially in sarcomas). 57 fusion results 41 across 34 samples were evaluated. Fusion-STAMP demonstrated high overall accuracy with 98% 42 sensitivity and 94% specificity for fusion detection. There was high intra-and inter-run 43 reproducibility. Detection was sensitive to approximately 10% tumor, though this is expected to 44 be impacted by fusion transcript expression levels, hybrid capture efficiency, and RNA quality. 45Challenges of clinically validating RNA sequencing for fusion detection include a low average 46 RNA quality in FFPE specimens, and variable RNA total content and expression profile per cell. 47These challenges contribute to highly variable on-target rates, total read pairs, and total mapped 48 read pairs. False positive results may be caused by intergenic splicing, barcode hopping / index 49 hopping, or misalignment. Despite this, Fusion-STAMP demonstrates high overall performance 50 metrics for qualitative fusion detection and is expected to provide clinical utility in identifying 51 actionable fusions. 52 54 55 56 57
Introduction: 58In human neoplasia, numerous clinically relevant translocations have been described, and 59 more continue to be identified. Many are specific to one or several diagnoses, especially among 60 soft tissue neoplasms.In conjunction with clinical history and 61 histomorphologic/immunohistochemical findings, the detection of one of these translocations is a 62 valuable diagnostic adjunct 1 . For example, in the setting of a small round blue cell tumor, 63 translocation testing can help distinguish among differential diagnoses that include Ewing 64 sarcoma, Ewing-like sarcomas, desmoplastic small round cell tumor, alveolar 65 rhabdomyosarcoma, and synovial sarcoma, all of which are associated with distinct 66 translocations or sets of translocations. 67Other translocations may guide therapeutic decision making to optimally utilize targeted 68 therapies, particularly in the setting of non-small cell lung carcinoma (NSCLC) 2 . For example, 69 ALK, ROS1, and RET rearrangements are standard-of-care biomarkers predictive of a response 70 to an FDA-approved medication in the setting of NSCLC. In addition, evidence is accumulating 71for clinical actionability of many other structural rearrangements in NSCLC and other tumors 3-5 . 72Numerous techniques have been employed to detect fusions 3 . Traditional methods that do 73 not employ next generation sequencing (NGS) include karyotyping, reverse transcriptase 74 polymerase chain reaction (RT-PCR), ...