Pitel, Beth A.

Abstract Introduction: Clinical staging of multifocal non-small cell lung cancer (NSCLC) is facilitated by comparative genomic analysis of separate tumor nodules, but the role of genome-wide copy number profiling for this purpose is uncertain. Methods: We analyzed single nucleotide variants (SNVs), gene fusions, small copy number variants (gene amplifications and homozygous deletions) (sCNVs), and large-scale copy number variants (lCNVs) in a retrospective cohort of 34 patients with >1 lung cancer nodule tested on a previously validated tumor-only 515-gene next generation sequencing (NGS) panel (MayoComplete Solid Tumor Panel). For patients with <2 shared SNVs, a Bayesian approach was formulated to calculate the probability of shared versus independent events occurring in different tumor nodules in the same patient. The prevalence of specific lCNVs in NSCLC was derived from an independent dataset of 100 NSCLC peers tested by the same panel, and the prevalence of SNVs, fusions, and sCNVs in NSCLC was derived from publicly available data. Alterations unique to different tumor nodules and suspected germline alterations were excluded from the Bayesian analysis. Results: There were 54 total comparisons for 34 patients. Eleven of the patients (32.4%) had >=2 shared SNVs along with one or more shared lCNVs also identified in each patient. Eight patients (23.5%) had no shared SNVs, gene fusions, sCNVs, or lCNVs. Using the Bayesian approach for the remaining fifteen (44.1%) patients with at least one shared alteration (SNVs, sCNVs, and lCNVs), the probability of clonal relatedness ranged from 73% for a shared whole arm or whole chromosome lCNV to >99% for tumors with two or more shared alterations including multiple or complex lCNVs and SNVs. Whole chromosome or whole arm lCNVs were sometimes shared between tumor nodules with different driver SNVs. Conclusions: Incorporating lCNVs into comparative genomic analysis provides additional evidence of clonal relatedness in a subset of multifocal NSCLCs. However, differences in bioinformatics pipelines for calling lCNVs, concerns over the imprecision of genome-wide copy number profiling, and uncertainty regarding the temporal relationship between lCNVs and carcinogenesis (including somatic events possibly related to “field cancerization”) create challenges for integrating lCNVs into comparative genomic analysis with standard clinical workflows for tumor-only NGS on paraffin embedded tissue sections. Our simplified approach mitigates some of the uncertainty introduced by incorporating lCNVs into clonality determination. Citation Format: Claire Teigen, Ying-Chun Lo, Sounak Gupta, Stephanie Smoley, Beth Pitel, Hussam Al Kateb, Gopi Sivasankaran, Benjamin Kipp, Ande Rumilla, Gang Zheng, Kevin Halling, Katherine Geiersbach, . A Bayesian framework for evaluating somatic copy number variants into comparative genomic analysis of multifocal non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5423.

Abstract Categorical variants, or sets of genomic alterations constrained by shared properties, are pervasive across clinical, regulatory, and research domains in the biomedical ecosystem, yet their inconsistent and non-computable representation hinders data interoperability and clinical interpretation. We surveyed genomic knowledgebases spanning regulatory approvals and the biomedical literature and found that categorical variants underpin a substantial proportion of clinical genomics knowledge, but are largely described using incompatible bespoke models. To address this, we developed the GA4GH Categorical Variation Representation Specification (Cat-VRS), a constraint-based framework that provides a unified computable representation for both precise and intentionally broad categories across molecular and systemic variant domains. Cat-VRS enables harmonization of genomic knowledgebases, computable category-based search, and automated matching between assayed variants and categorical entities in clinical and research contexts. By providing a principled, extensible model for categorical variation, Cat-VRS enables computable reasoning over genomic variant categories and establishes a foundation for the standardized representation and exchange of genomic knowledge.

Abstract Introduction/Objective Mutations in KIT and PDGFRA drive the majority of gastrointestinal stromal tumors (GIST) and inform targeted therapy selection. While single-driver mutations are typical, a subset of cases harbors multiple KIT mutations, complicating clinical interpretation. This study investigated the frequency, distribution, and inferred hierarchy of primary and secondary KIT mutations using DNA-based sequencing in a large GIST cohort. Methods/Case Report We retrospectively reviewed 579 GIST cases that underwent DNA-based next-generation sequencing using a custom panel targeting all coding exons of KIT and PDGFRA. Tumor-rich formalin-fixed paraffin-embedded (FFPE) tissue was required. In double-mutant cases, the mutation with higher variant allele frequency (VAF) was presumed to be primary. Results Mutations in KIT or PDGFRA were detected in 482/579 cases (83.2%). Among KIT-mutant cases, 28 had two mutations and one had three. Secondary mutations frequently occurred in exons 13, 14, and 17 and were significantly more common in non-gastric tumors (p < 0.0001). Primary mutations most often involved exon 11. Conclusion VAF analysis enabled classification of mutation hierarchy in cases with multiple KIT mutations. The distinct anatomical and exon-specific distribution of primary vs. secondary mutations highlights their potential therapeutic implications and warrants further study.

Abstract Most TERT promoter (TERTp) clinically relevant sequence variants in CNS tumors are the canonical C228T and C250T mutations. Non-canonical TERTp mutations have been reported mainly in non-CNS tumors. We describe 12 CNS tumors with non-canonical TERTp variants interpreted as clinically relevant. Using clinical targeted NGS panels (2020-2024), we detected c.-100_-79dup (n=2), c.-92_-91insGGCGGCCCCGCCCCTTCCTTTC (n=1), c.-118_-117insTCCCCGGCCCAGCCCCTTCCGGG (n=1), c.-123_-76dup (n=1), c.-110_-89dup (n=2), and c.-57A>C (n=5). Most cases had chromosomal microarray (n=11) and/or methylation array data analyzed using the NCI/Bethesda v.2 classifier (n=9). All non-canonical TERTp variants occurred at a variant allele frequency suggestive of somatic clonal origin (mean, 34%; range, 18-46), and in adults (mean age, 60 years; range, 36-88). Except for the c.-57A>C variant, all non-canonical TERTp variants occurred in tumors with histological and/or molecular diagnostic features of glioblastoma, IDH-wildtype (GBM), often epigenetically aligning to this tumor type. All five tested cases matched to superfamily glioblastoma (score ≥ 0.9), with three to class GBM_RTK_I (>0.9 in 2, 0.86 in 1) and two to GBM_RTK_II (>0.9). The size and sequence of such variants suggest that these may be functionally equivalent to canonical mutations or generate favorable TERTp activation motif conformations like previously reported activating duplications. The c.-57A>C variant is a well-established oncogenic mutation observed in other cancer types but has not been reported in CNS tumors. We describe five cases with the c.-57A>C variant: one GBM matching to methylation class GBM_MES_TYP (0.99); two oligodendroglioma, IDH-mutant and 1p/19q-codeleted, one of which had methylation data matching to class O_IDH (0.99); one diffuse glioma, IDH-mutant, which was partially 1p/19q-codeleted and matched to class O_IDH (0.99); and one anaplastic meningioma, aligning to superfamily meningioma (0.99)/MNG_MAL (0.79). Our findings show that non-canonical TERTp variants typically occur in tumor types that often harbor TERTp canonical mutations, expanding the spectrum of TERTp clinically relevant variants that are molecular biomarkers in CNS tumors.

Molecular investigations have led to increased therapeutic options for prostatic adenocarcinoma. A single case report of a PRPSAP1 :: NTRK3 gene fusion occurring in prostate cancer was previously reported. A review of the literature revealed that NTRK gene rearrangements are exceedingly rare molecular events in prostate cancer. NTRK gene fusions can be oncogenic drivers or develop as resistance mechanisms. The tumor-agnostic approvals of TRK inhibitors by the FDA provide additional rationale for molecular investigations of aggressive prostatic adenocarcinomas. This may prove to be an additional therapeutic option for patients with aggressive prostatic carcinomas refractory to initial therapy. We report a case of an aggressive castrate-resistant prostatic adenocarcinoma with a BMP6 :: NTRK3 gene fusion.

Context.— Primary thoracic neoplasms are rare in children, whereas nonneoplastic mass lesions or cysts and metastases are more common, and there is a relative paucity of comprehensive histopathologic and molecular data. Objective.— To define the clinicopathologic spectrum of neoplastic and nonneoplastic diseases observed in resected mass lesions in the chest of pediatric patients, and to identify somatic alterations observed in primary neoplasms. Design.— Clinicopathologic features of thoracic mass lesions (n = 385) resected from 373 patients aged ≤21 years in a 25-year period (1993–2018) were included. Primary neoplasms having sufficient material were tested by a laboratory-developed comprehensive genomic profiling assay that assesses tumor mutational burden, microsatellite instability, somatic sequence variants, gene amplifications, fusions, and specific transcript variants. Results.— The most commonly resected space-occupying lesions were nonneoplastic mass lesions and cysts or malformations, resected in 117 (31.4%) and 58 of 373 patients (15.5%) respectively. Metastatic neoplasms were observed in 169 of 373 patients (45.3%; mean age 14.4 years, range 1–21 years); the most common was osteosarcoma (68 of 169; 40.2% of metastases). Primary lung neoplasms occurred in 24 of 373 patients (6.4%; mean age 14.5 years, range 6 months–21 years), and 16 patients had primary extrapulmonary thoracic tumors. Carcinoid tumor was the most common primary lung neoplasm (7 typical, 3 atypical). Molecular testing showed a prevalence of somatic pathogenic or likely pathogenic mutations and copy-number alterations. No fusions or splice variants were identified. Tumors were microsatellite-stable with low tumor mutational burden. Conclusions.— Resected pediatric thoracic mass lesions are more likely to be metastatic lesions, congenital cysts or malformations, or nonneoplastic lesions compared to primary thoracic neoplasms, which are encountered at a low frequency and tend to have relatively simple genetic profiles.

Abstract Detection of hallmark genomic aberrations in acute myeloid leukemia (AML) is essential for diagnostic subtyping, prognosis, and patient management. However, cytogenetic/cytogenomic techniques used to identify those aberrations, such as karyotyping, fluorescence in situ hybridization (FISH), or chromosomal microarray analysis (CMA), are limited by the need for skilled personnel as well as significant time, cost, and labor. Optical genome mapping (OGM) provides a single, cost-effective assay with a significantly higher resolution than karyotyping and with a comprehensive genome-wide analysis comparable with CMA and the added unique ability to detect balanced structural variants (SVs). Here, we report in a real-world setting the performance of OGM in a cohort of 100 AML cases that were previously characterized by karyotype alone or karyotype and FISH or CMA. OGM identified all clinically relevant SVs and copy number variants (CNVs) reported by these standard cytogenetic methods when representative clones were present in >5% allelic fraction. Importantly, OGM identified clinically relevant information in 13% of cases that had been missed by the routine methods. Three cases reported with normal karyotypes were shown to have cryptic translocations involving gene fusions. In 4% of cases, OGM findings would have altered recommended clinical management, and in an additional 8% of cases, OGM would have rendered the cases potentially eligible for clinical trials. The results from this multi-institutional study indicate that OGM effectively recovers clinically relevant SVs and CNVs found by standard-of-care methods and reveals additional SVs that are not reported. Furthermore, OGM minimizes the need for labor-intensive multiple cytogenetic tests while concomitantly maximizing diagnostic detection through a standardized workflow.

Context.— Epithelioid angiomyolipomas (eAMLs) are rare tumors of the kidney that occur in patients with tuberous sclerosis complex or in a sporadic setting; a subset of these tumors exhibit metastatic behavior. Objective.— To analyze molecular profiling data to identify pathogenic alterations in rare cases of metastatic eAML, and to identify immunohistochemistry (IHC)-based surrogate markers. Design.— Molecular profiling data from the American Association for Cancer Research GENIE registry was accessed for 23 patients with angiomyolipomas, and 9 of 16 patients with eAMLs in our institutional registry were evaluated with next-generation sequencing. IHC was performed to screen for alterations of P53, RB, and ATRX for all 16 institutional cases. Results.— Combined alterations of 5 tumor-suppressor genes (TP53, ATRX, RB1, APC, and NF1) were identified using next-generation sequencing in 7 of 8 (88%) patients with metastatic disease compared to a single patient with nonmetastatic disease (RB1 variant of uncertain significance; 1 of 24, 4%). No cases with abnormal IHC results were identified in 11 patients with nonmetastatic disease compared to 3 of 5 patients with metastatic disease. Conclusions.— Our results show that the majority of metastatic eAMLs have mutations of 5 tumor-suppressor genes (TP53, ATRX, RB1, APC, and NF1), while these are rare in patients with nonmetastatic disease. Furthermore, IHC for P53, RB, and ATRX may serve as a screen for a subset of these alterations in resource-limited settings. These findings, if validated in larger data sets, have the potential to predict metastatic behavior in eAMLs.