Passow, Jeanette E. Eckel

Abstract Glioblastoma (GBM) diagnosis integrates morphology and tumor molecular alterations. Patients with classic morphology are designated as histologic GBM (hGBM). Patients without classic morphology harboring TERT promoter mutation (TERTp), or epidermal growth factor receptor amplification (EGFRamp), or combined gain of chromosome 7 and loss of 10 (+7/-10) designate molecular GBM (mGBM). We compared radiographic features, genomic alterations, and clinical outcome between hGBM and mGBM. 109 mGBM Mayo Clinic cases diagnosed between 1993-2021 were matched to 101 cGBM by age, sex, year of diagnosis, and TERT promoter (TERTp) status. Clinical and radiographic data abstraction was blinded. Progression-free and overall survival were compared across groups in the subset of patients who received standard of care. Contrast enhancement was present on index MRI (MRI at diagnosis) for 98% (96/98) hGBM and 50% (54/107) mGBM (p<0.0001) patients. mGBM tumors harbored fewer total copy number alterations (median of 16.5 vs 20, p=0.029) and were less likely to have CDKN2A/B homozygous deletion (56% vs 77%, p=0.005). Among the 87 mGBM and 82 hGBM receiving standard of care, median overall survival was longer for mGBM versus hGBM (2.24 vs 1.62 years, p=0.016). mGBM patients with +7/-10 (HR=2.60, p=0.035) or CDKN2A/B (HR=3.61, p=0.002) had poorer overall survival compared to mGBM patients without the corresponding alteration. On index MRI mGBM patients without contrast enhancement had better overall survival compared to hGBM (HR=0.50; p=0.003) whereas there was no survival difference between mGBM with enhancement and hGBM. mGBM with enhancement on index MRI likely represent undersampled, or early / evolving hGBM. mGBM patients with non-enhancing MRI, younger than 60, with long symptom profile including seizures, and some combination of non-anaplastic morphology, TERTp only, no homozygous deletion of CDKN2A/B, and low copy number complexity may represent other IDHwt glioma entities. Caution is advised in counseling, management, discussing prognosis, and inclusion in clinical trials.

Abstract Background Most oncology therapeutics have limited distribution into the brain, and developing strategies to overcome this limitation would be clinically impactful. While therapeutic radiation is often cited as a strategy to accomplish this, there are no published studies demonstrating the effect of radiation on drug distribution into the brain or brain tumors. Methods Mice were treated with brain radiation (6 Gy × 5, 4 Gy × 10; 40 Gy × 1) and dosed with drugs (levetiracetam, cefazolin, nedisertib, brigimadlin, apitolisib, or GNE-317) at times ranging from just prior to months after radiation. Plasma and tissue drug concentrations were measured by LC-MS/MS. Results Radiation did not significantly enhance drug delivery into brain tissue for levetiracetam, cefazolin, GNE-317, apitolisib, or nedisertib at any time post-radiation. Even a single, supra-therapeutic dose of radiation (40 Gy) did not significantly affect brain distribution of GNE-317 or apitolisib (P ≥ .07) from 16 to 160 hours post-radiation. For brigimadlin, radiation (6 Gy × 5) was associated with a modest but significant increase in drug accumulation only at 72 hours post-radiation (brain-to-plasma ratio 0.014 ± 0.006 vs. 0.025 ± 0.010, respectively; P = .04), but not at any other timepoint (24 hours, 15, 28, 94, 133, 183 days; P > .05). Similarly, radiation (6 Gy × 5) of orthotopic tumors did not increase levels of brigimadlin in GBM10 or GBM108 or nedisertib in GBM108 (P > .05). Conclusions Radiation had no meaningful impact on drug delivery into brain or brain tumors for the drugs tested.

Abstract Introduction: Barrett’s esophagus (BE) confers increased cancer risk. Endoscopic surveillance is recommended to distinguish non-dysplastic BE (NDBE), low grade dysplasia (LGD), high grade dysplasia (HGD), or adenocarcinoma (EAC) for endoscopic intervention. However, this paradigm is limited by sampling error, leading to missed/interval EAC. Herein, we aimed to classify these samples more accurately by performing whole genome methylation sequencing (WGMS) and utilizing multiple genomic features on endoscopic brush samples. Materials and methods: Endoscopic brush samples from patients with NDBE (n=18), HGD (18), EAC (18), and normal controls (18) were collected and underwent WGMS (discovery dataset). Sequence reads were processed through internal pipeline to extract CpG methylation and read level methylation ratio (alpha value). Copy number aberration (CNA) detection was performed using both CNVkit and ichorCNA. Differential methylated regions (DMRs) were identified through comparing EAC/HGD with NDBE and normal samples. Targeted methylation sequencing for selected DMRs and shallow WGMS were performed on EAC (41), HGD (26), LGD (23), NDBE (42), and normal controls (37) as validation. Ratio of the reads with alpha value>0.6 for each DMR was used for further analysis. Detected CNA segments were summarized into chromosome arm loss or gain (aneuploidy score or AS representing the number of chromosome arms gained or lost in a sample) and trimmed median absolute deviation (tMAD). Classification models were developed using the discovery set and the best performing one was applied to the validation dataset. Results: Genome-wide DNA methylation largely segregated different groups of samples as diagnosed; however, some unexpected group crossings were observed. Top 200 DMRs were identified between EAC/HGD and NDBE and normal samples. CNA changes were widespread in EAC, very common in HGD but rare in NDBE (17/18 EACs,14/18 HGDs, 5/18 NDBEs with AS>0). With tMAD > 0.015, 16/18 EACs, 8/18 HGDs but none of 18 NDBEs passed the threshold. EAC or HGD samples without detectable CNAs had very low “tumor” fraction as determined by methylation-based cell type deconvolution or ichorCNA. Similar results were found in the validation dataset. A multi-omics (AS, tMAD, estimated tumor fraction, and DMR methylation) model could predict EAC, HGD, or NDBE with 0.81 accuracy through cross validation (10X) and 0.73 in the independent dataset. This increased to 0.98 and 0.90 in separating high risk EAC/HGD from NDBE, respectively. Conclusion: Multi-omics data obtained from single WGMS allow for a comprehensive analysis of BE samples with varying dysplasia levels. Using classification modeling, these characteristics can be effectively used to accurately identify and distinguish between EAC and HGD from NDBE, suggesting their utility as adjuncts to endoscopic surveillance biopsies. Citation Format: Zhifu Sun, Caroline L. Matchett, Seth W. Slettedahl, William R. Taylor, Panwen Wang, Calise Berger, Caryn E. Anderson, Melissa A. Passe, Ramona Lansing, Collin E. Chalmers, Patrick H. Foote, Jeanette E. Eckel Passow, Doug W. Mahoney, John B. Kisiel, Prasad G. Iyer. Multi-omics cancer risk assessment of Barrett’s esophagus with DNA methylation sequencing from endoscopic brush samples [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB249.

Abstract Background Mendelian randomization (MR) studies are susceptible to metadata errors (e.g. incorrect specification of the effect allele column) and other analytical issues that can introduce substantial bias into analyses. We developed a quality control (QC) pipeline for the Fatty Acids in Cancer Mendelian Randomization Collaboration (FAMRC) that can be used to identify and correct for such errors. Methods We collated summary association statistics from fatty acid and cancer genome-wide association studies (GWAS) and subjected the collated data to a comprehensive QC pipeline. We identified metadata errors through comparison of study-specific statistics to external reference data sets (the National Human Genome Research Institute-European Bioinformatics Institute GWAS catalogue and 1000 genome super populations) and other analytical issues through comparison of reported to expected genetic effect sizes. Comparisons were based on three sets of genetic variants: (i) GWAS hits for fatty acids, (ii) GWAS hits for cancer and (iii) a 1000 genomes reference set. Results We collated summary data from 6 fatty acid and 54 cancer GWAS. Metadata errors and analytical issues with the potential to introduce substantial bias were identified in seven studies (11.6%). After resolving metadata errors and analytical issues, we created a data set of 219 842 genetic associations with 90 cancer types, generated in analyses of 566 665 cancer cases and 1 622 374 controls. Conclusions In this large MR collaboration, 11.6% of included studies were affected by a substantial metadata error or analytical issue. By increasing the integrity of collated summary data prior to their analysis, our protocol can be used to increase the reliability of downstream MR analyses. Our pipeline is available to other researchers via the CheckSumStats package (https://github.com/MRCIEU/CheckSumStats).

Introduction As the pandemic continues with new variants emerging, faculty and students require support with education's rapid shift to the virtual space. The Mayo Clinic Center for Clinical and Translational Science curriculum team works closely with faculty to support a smooth transition to offering graduate courses in a virtual learning environment. The aim of the present project was to explore faculty and student perceptions of these remote learning strategies to gain an understanding of the innovations required to improve future educational offerings. Methods All faculty and learners involved in nine Clinical and Translational Science courses in spring 2020 were invited to participate in a web-based questionnaire. Quantitative analysis was performed on closed-ended items, including 5-point Likert-scale questions used to assess the range of views. Qualitative free-text responses were independently analyzed for repetitive themes and summarized. Additionally, comparisons of faculty and course evaluations and student grade point averages (GPAs) from the in-person courses and their subsequent virtual course offerings were considered. Results Survey results indicated several positive impacts with moving courses into the virtual environment, including increased accessibility as well as more student-centered education. Learners joining from sites outside of the originating campus were especially grateful for the virtual classroom because they felt newly integrated within classes. Faculty and course evaluations, as well as student GPAs, remained consistent. Conclusion New COVID-19 variants continue to shift education online, and innovative ideas are required to further improve future virtual course offerings. Increased engagement is warranted, both from faculty to incorporate activities designed specifically for a virtual classroom, and from students to increase participation by activating their microphones and webcams. Greater opportunities for global involvement and connectedness arise. Finally, this project advocates for adequate eLearning staffing to support quality online education as the need for pedagogical and technical provision continues.

AbstractBackground and purposeTumefactive demyelination (TD) presents with large inflammatory lesions mimicking tumors or other space‐occupying lesions. Limited epidemiological, clinical and radiological data exist for TD. We aimed to report the incidence rate, and clinical and radiological features of TD in Olmsted County, Minnesota.MethodsWe retrospectively reviewed patients with central nervous system inflammatory demyelination‐related diagnostic codes (January 1, 1998 to December 31, 2018) in the Rochester Epidemiology Project database, and adjusted incidence rates by age and sex to the 2010 US total population. We used the Expanded Disability Status Scale (EDSS) to assess outcomes (index attack and last follow‐up).ResultsOf 792 multiple sclerosis (MS) patients, 15 (eight males, seven females) had tumefactive MS, representing 1.9% of the MS population. The median (range) age at attack onset was 34.2 (2–61) years. Tumefactive lesion was the first clinical MS attack in 8/16 patients. Cerebrospinal fluid oligoclonal bands (OCBs) were present in 8/12 patients and 11/16 patients met the Barkhof criteria for dissemination in space. Most patients remained fully ambulatory (EDSS score ≤4 in 13/16 patients [81%]) after a median (range) follow‐up duration of 10.5 (1–20.5) years. Age‐adjusted annual incidence rates were 0.46/100,000 (95% confidence interval [CI] 0.12–0.81) for female patients, 0.66/100,000 (95% CI 0.23–1.02) for male patients, and 0.56/100,000 [95% CI 0.28–0.83] overall. When age‐ and sex‐adjusted to the 2010 US total population, the overall annual incidence rate was 0.57 (95% CI 0.28–0.84). Despite aggressive clinical presentation at disease onset, most patients remained fully ambulatory (EDSS score ≤4 in 13/16 patients) with a relapsing‐remitting course.ConclusionsAlthough incidence is rare, TD should be suspected in patients presenting with subacutely progressive neurological deficits associated with magnetic resonance imaging findings of ring enhancement, apparent diffusion coefficient restriction, and OCB on spinal fluid analysis.

Abstract BACKGROUND Molecular parameters have been incorporated into the 2016 WHO Classification of CNS Tumors and subsequent cIMPACT-NOW updates to facilitate clinical management of glioma patients. However, there have been few reports of the overall clinical utility of comprehensive genetic testing in adult glioma patients. We report the results of sequencing and chromosomal microarray analysis of adult gliomas seen at the Mayo Clinic and through the Mayo Clinic Laboratories (MCL) reference practice. METHODS A consecutive series of 379 Mayo Clinic adult glioma patients were consented to receive targeted next generation sequencing and chromosomal microarray analysis, regardless of standard clinical ordering practices. Known diagnostic, prognostic, and predictive alterations were annotated for each case. These results were compared to the larger MCL reference practice of 2400 adult glioma samples that received one or both tests clinically. RESULTS Of the consecutive Mayo Clinic cases, 67% had alterations that fell into at least one of the diagnostic, prognostic, and/or predictive categories. Molecular testing generated diagnostic, prognostic, and predictive information in 44%, 34%, and 36% of cases, respectively. Diagnostically, molecular testing mainly aided in arriving at a final integrated diagnosis, and only a small number of cases (n= 5; 1%) had a change in diagnosis. The consecutive cases represent the typical distribution of adult glioma types (47% IDH-wildtype glioblastoma/astrocytoma, 22% IDH-mutant astrocytoma/glioblastoma, 13% IDH-mutant 1p/19q-codeleted oligodendroglioma, and 18% other tumor types). The MCL practice is enriched in tumors with atypical molecular patterns (37% IDH-wildtype glioblastoma/astrocytoma, 17% IDH-mutant astrocytoma/glioblastoma, 18% IDH-mutant 1p/19q-codeleted oligodendroglioma, and 29% other tumor types). CONCLUSIONS Molecular testing provides useful diagnostic, prognostic, and predictive information for the clinical management of adult glioma patients. While the current guidelines for ordering molecular testing are effective for diagnostic purposes, additional prognostic and predictive information can be gleaned from comprehensive molecular testing of adult gliomas.

Abstract Abstract 1772 Background: B-Chronic Lymphocytic Leukemia (CLL) is notorious for its complex and heterogeneous clinical behavior pattern in a given patient. Panels of prognostic predictors in CLL can be complex but in general have been found to be useful in counseling a given patient. The current most powerful prognostic parameters for disease progression potential are related to leukemic B cell genetic features. Using fluorescent in situ hybridization (FISH) panels, we and others have found a hierarchy of clinical outcome with 17p- and 11q- most aggressive. The limitation of the FISH panel is that while it detects the most common recurring defects, it does not evaluate the global genomic status of the leukemia in terms of less common genetic changes or in terms of genetic complexity. Array comparative genomic hybridization (CGH) has shown that CLL B cells frequently do exhibit greater genetic complexity than is detected by the FISH panel. To further assess the relationship of genomic defects in CLL to disease outcome, we used CGH for genetic analysis of the leukemic cells at or close to the diagnosis in two cohorts of CLL patients who had either stable or progressive disease. Methods: We obtained leukemic B cells from patients retrospectively identified as “progressive” (n=47) or “stable” (n=21) CLL patients. The CLL patients had given informed consent to have tissue stored and had robust long term clinical outcome available on our Mayo Clinic CLL Tissue Bank and clinical database. Patients were selected based on whether they were stable as defined by no need for therapy after 5 years from diagnosis, or progressive as defined by requiring therapy within 2 years of the actual CLL diagnosis. All progressive patients had leukemic blood cells sampled within 12 months of diagnosis and prior to treatment. All stable patients had blood cells sampled within 24 months of diagnosis. DNA was extracted and then used for global genomic defect detection using a custom high density 2 × 400k oligonucleotide CGH chip (Agilent). Copy number abnormalities (CNA) and copy number variants (CNV) were assessed. CNA were studied for relationship to clinical outcome for the two cohorts of CLL patients.and CNV were excluded from further analysis. Results: The median age was 61 (range 42–81) years in progressive and 67 (range 42–80) in stable patients. Males comprised 77% of the progressive and 57% of the stable patients. CGH was successful in all 68 patients. FISH and CGH were discordant in 8 cases, all with <20% abnormal cells by FISH. Total number of CNA (excluding known benign variants and immunoglobulin rearrangements) was 816, with 597 in progressive (mean 12.7) and 219 in stable patients (mean 10.4). Two stable patients had a normal CGH result. Progressive patients included 15 of 16 trisomy 12, all 4 deletion 17p, and 10 of 11 deletion 11q abnormalities by CGH. Deletion 13q was observed in 39 (83%) progressive and 15 (71%) stable patients, with Rb1 deletion in 11 (23%) progressive and 4 (19%) stable patients. Remarkably, trisomy 18 (2 patients), trisomy 19 (4 patients), and trisomy 21 (1of 2 patients) were observed by CGH in association with trisomy 12. Other recurrent CNA were del(3)(q22q22) in 2 progressive and 1 stable patient and dup(8)(q24.3q24.3) plus dup(11)(p15.4p15.5) in 3 progressive patients; one progressive patient had the dup(8q) without dup (11p). None of the dup(8q) or dup(11p) patients exhibited 11q-, 17p- or +12 defects. Cytogenetic complexity (measured by number of CNA) was greater in progressive than stable patients (p=0.03; odds ratio 1.196), although there was substantial overlap between the groups (range 6–28 CNA in progressive and 5–18 in stable patients). The number of CNA tended to be higher in the presence of 11q- (8–16 CNA) and trisomy 12 (7–21 CNA), and especially 17p- (13–28 CNA). Conclusions: CGH and FISH were comparable for the FISH probes tested. CGH revealed that deletion breakpoints were highly variable around the regions targeted by the FISH probes. That trisomy 18, 19, and 21 were confined to the trisomy 12 patients suggests a different mechanism of genetic instability underlying trisomy 12 in CLL. Trisomy 12, deletion 11q and deleton 17p were confined almost exclusively to patients with progressive disease. Likewise, 3 other recurrent CNA (3q-, 8p dup and 11p dup) were over-represented in progressive disease, may comprise high risk genetic defects, and offer new targets for understanding genetic pathways in CLL. Disclosures: Kay: Biothera: Research Funding; Clegene: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Glaxo Smith Kline: Research Funding; Hospira: Research Funding; Novartis: Research Funding; Supergen: Research Funding; Calistoga: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Emergent Biosolutions (Formerly Trubion): Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 2406 The outcome for a given CLL patient is difficult to predict. While there are promising models, they require collation of multiple clinical and laboratory parameters, and it remains to be seen whether they will apply to typical CLL patients in the community. To further dissect out explanations for this dramatic clinical heterogeneity, we sought to understand genomic complexity of clonal B-cells as a possible explanation of clinical variability with specific application to genomic complexity as a predictor of therapeutic response and clinical outcome in CLL. Thus we wished to identified global gains and losses of genetic material in order to define copy-number abnormalities (CNA) in 48 clinically progressive CLL patients who were about to be treated on a chemoimmunotherapy protocol. This protocol was previously reported by us (Blood. 109:2007) and had an induction phase with pentostatin (2 mg/m2), cyclophosphamide (600 mg/m2) and rituximab (375 mg/m2) given every 3 weeks for 6 cycles and then responding patients were followed ever three months until relapse. In order to estimate CNA, we employed array-based comparative genomic hybridization (aCGH) using a one-million oligonucleotide probe array format on the leukemic B-cells from the 48 patients entering this trial. In those same patients, the aCGH data were compared to a) FISH detecxtable data using a panel for the common recurring genetic defects seen in CLL and b) to their clinical outcome on this trial. With aCGH we found that 288 CNA were identified (median of 4 per patient; range 0–32) of which 215 were deletions and 73 were gains. The aCGH method identified most of the FISH detected abnormalities with a complete concordance for 17p13.1- deletion (17p-) between aCGH and FISH. We also identified chromosomal gain or loss in ≥6% of the patients on chromosomes 3, 8, 9, 10, 11, 12, 13, 14 and 17. We found that CLL patients with ≥15 CNA had a significantly worse progression free survival (PFS) than patients with <15 CNA (p=0.004)(figure). Patients with ≥15 CNA also had a shorter duration of response than those with <15 CNA (p=0.0726). Of interest, more complex genomic features were found both in patients with a 17p13.1 deletion and in more favorable genetic subtypes such as 13q14.1. Thus, for 5 patients with >15 CNAs the following FISH patterns were seen: +12/13q14.1-x1/13q14.1 -x2, 13q14.1 ×1 (n=2), and 17p13.1 (n=2). In addition, a 17p- by FISH was positively associated with the number of CNA and total deletion size. The odds of having an overall response decreased by 28% (95% CI: 5–55%; p=0.015) with each additional CNA for the 17p13.1- patients. In addition to defining genomic complexity as the total number of CNA for each patient, we also defined complexity as the sum of the lengths of all interstitial chromosomal gains and losses. When defined as the total size of chromosomal gains or losses, genomic complexity was significantly associated with 17p13.1 and worse overall clinical response. In summary, this analysis utilized the global assessment of copy number abnormalities using a high-resolution aCGH platform for clinically progressive CLL patients prior to initiation of their treatment. One outcome was that we found higher genomic complexity was associated with shorter progression-free survival, reduced duration of response and predicted a poor response to treatment. In addition since we did find genomic complexity in more traditionally favorable FISH categories, such as 13q14.1 type defects, this may explain why some of the latter patients do not fare as well as might be expected even with aggressive chemoimmunotherapy approaches. This study adds information on the association between inferior trial response and increasing genetic complexity as CLL progresses. Disclosures: Off Label Use: Pentostatin. Kipps: GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding; Memgen: Research Funding; Igenica: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Aventis: Research Funding; Abbott Laboratories: Research Funding.

AbstractPleomorphic xanthoastrocytoma (PXA) is a rare localized glioma characterized by frequent BRAF V600E mutation and CDKN2A/B deletion. We explored the association of copy‐number variants (CNVs) with BRAF mutations, tumor grade, and patient survival in a cohort of 41 PXA patients using OncoScan chromosomal microarray. Primary resection specimens were available in 38 cases, including 24 PXA and 14 anaplastic PXA (A‐PXA), 23 BRAF V600E mutant tumors (61%). CNVs were identified in all cases and most frequently involved chromosome 9 with homozygous CDKN2A/B deletion (n = 33, 87%), a higher proportion than previously detected by comparative genomic hybridization (50%–60%) (37). CDKN2A/B deletion was present in similar proportion of PXA (83%), A‐PXA (93%), BRAF V600E (87%), and wild‐type (87%) tumors. Whole chromosome gains/losses were frequent, including gains +7 (n = 15), +2 (n = 11), +5 (n = 10), +21 (n = 10), +20 (n = 9), +12 (n = 8), +15 (n = 8), and losses −22 (n = 11), −14 (n = 7), −13 (n = 5). Losses and copy‐neutral loss of heterozygosity were significantly more common in A‐PXA, involving chromosomes 22 (P = 0.009) and 14 (P = 0.03). Amplification of 8p and 12q was identified in a single tumor. Histologic grade was a robust predictor of overall survival (P = 0.003), while other copy‐number changes, including CDKN2A/B deletion, did not show significant association with survival. Distinct histologic patterns of anaplasia included increased mitotic activity in an otherwise classic PXA or associated with small cell, fibrillary, or epithelioid morphology, with loss of SMARCB1 expression in one case. In 10 cases, matched specimens were compared, including A‐PXA with areas of distinct low‐ and high‐grade morphology (n = 2), matched primary/tumor recurrence (n = 7), or both (n = 1). Copy‐number changes on recurrence/anaplastic transformation were complex and highly variable, from nearly identical profiles to numerous copy‐number changes. Overall, we confirm CDKN2A/B deletion as key a feature of PXA not associated with tumor grade or BRAF mutation, but central to the underlying genetics of PXA.