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Nelson, Siri

Mayo Clinic

Mayo Clinic

Citations 1

Abstract A012: Mis-Annotation of an HMGA2::NCOR2 Fusion in FFPE Sarcoma Samples: A Case Illustrating Bioinformatic Limitations in Fusion Detection
Pujari, Ganesh P., Klebig, Mitch L., Willkom, Kurt S., Chhunn, Montha, Nelson, Siri, Saha, Neiladri , Halling, K., Pujari, Ganesh P. , Klebig, Mitchell, Willkomm, Kurt S., Halling, Kevin C.

Cancer Research | January 13, 2026 | Volume: 86 | Issue: 1_Supplement | Pages: A012-A012

10.1158/1538-7445.fusionpositive26-a012 Get It

Abstract Introduction Accurate detection of gene fusions is critical for the diagnosis and management of sarcomas. However, occasional false-negative results may occur due to factors such as low tumor cellularity, limited assay coverage of relevant genomic regions, or mis-annotation by bioinformatic pipelines. We recently encountered a case in which our clinical SARCP fusion detection assay failed to identify an HMGA2::NCOR2 (exon 3–exon 16) fusion. Method The SARCP assay is a targeted, amplicon-based RNA-seq next-generation sequencing (NGS) assay designed to detect gene fusions across 138 genes, including HMGA2. Although NCOR2 is not among the targeted genes, the assay is capable of detecting fusions when only one gene partner is represented. Results Suspicion of a false-negative result arose when the pathologist noted that the tumor’s histologic features—keratin-positive, giant cell-rich soft tissue—were consistent with a subtype previously associated with the HMGA2::NCOR2 fusion. This prompted a review of the bioinformatic output, which had erroneously reported an HMGA2::MAML2 fusion. The misannotation was traced to sequence homology involving a CAA/CAG repeat at the 5′ end of NCOR2 exon 16, likely resulting from DNA polymerase slippage and misalignment in low-complexity, partially complementary repetitive regions. This erroneously lead to the target genomic sequence getting mapped to MAML2 exon 2 as opposed to the NCOR2 exon 16. Discussion This case highlights how bioinformatic mis-annotation can lead to occasional false-negative fusion calls. It underscores the importance of manual review in cases with strong clinical or pathologic suspicion and calls attention to the need for fusion-calling algorithms that better handle repetitive and homopolymeric sequences. Citation Format: Ganesh P. Pujari, Mitch L. Klebig, Kurt S. Willkom, Montha Chhunn, Stefan W. Nelson, Neiladri Saha, Kevin C. Halling. Mis-Annotation of an HMGA2::NCOR2 Fusion in FFPE Sarcoma Samples: A Case Illustrating Bioinformatic Limitations in Fusion Detection [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Fusion-Positive Cancer: From Discovery to Therapy; 2026 Jan 13-15; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(1_Suppl):Abstract nr A012.