Citations

AbstractObjectiveWe compared 5‐year outcomes of transcatheter pulmonary valve (TPV) replacement with the Melody TPV in the post‐approval study (PAS) and the investigational device exemption (IDE) trial.BackgroundAs a condition of approval of the Melody TPV after the IDE trial, the Food and Drug Administration required that a PAS be conducted to evaluate outcomes of TPV replacement in a “real‐world” environment. The 5‐year outcomes of the PAS have not been published, and the IDE and PAS trials have not been compared.MethodsThe cohorts comprised all patients catheterized and implanted at 5 IDE sites and 10 PAS sites. Differences in trial protocols were detailed. Time‐related outcomes and valve‐related adverse events were compared between the two trials with Kaplan–Meier curves and log‐rank testing.Results167 patients (median age, 19 years) were catheterized and 150 underwent TPV replacement in the IDE trial; 121 were catheterized (median age, 17 years) and 100 implanted in the PAS. Freedom from hemodynamic dysfunction (p = .61) or any reintervention (p = .74) over time did not differ between trials. Freedom from stent fracture (p = .003) and transcatheter reintervention (p = .010) were longer in PAS, whereas freedom from explant (p = .020) and TPV endocarditis (p = .007) were shorter. Clinically important adverse events (AEs) were reported in 14% of PAS and 7.2% of IDE patients (p = .056); the incidence of any particular event was low in both.ConclusionsHemodynamic and time‐related outcomes in the PAS and IDE trials were generally similar, confirming the effectiveness of the Melody TPV with real‐world providers. There were few significant complications and limited power to identify important differences in AEs. The lack of major differences in outcomes between the two studies questions the usefulness of mandated costly post‐approval studies as part of the regulatory process for Class III medical devices.

AbstractIntroductionHypoalbuminemia is a known adverse prognostic factor in lymphomas. Yet, it is unknown if axicabtagene ciloleucel (axi‐cel) overcomes the adverse prognostic impact of hypoalbuminemia in relapsed/refractory large B‐cell lymphoma.MethodsWe conducted a retrospective analysis across three Mayo Clinic centers to assess the relationship of hypoalbuminemia (defined as a serum albumin (SA) levels ≤ 3.5 g/dL) on outcomes of patients treated with axi‐cel.ResultsThis analysis included 81 patients. Two patients had no available SA levels preceding axi‐cel infusion. Eighteen patients (22.8%) had hypoalbuminemia with a median SA of 3.3 g/dL. Patients with normal SA had a statistically higher ORR than those without hypoalbuminemia (P = .018). There was no difference in 1‐year PFS and OS between the group with hypoalbuminemia and the group with normal SA levels (48% vs 49%, P = .81) and (74% vs 73%, P = .97), respectively. There was no difference in the severity or median duration of cytokine release syndrome or neurotoxicity between the two groups.ConclusionNotwithstanding the limitations related to the relatively small sample size, axi‐cel therapy appears to overcome the adverse effect of hypoalbuminemia on OS and PFS. Large multicenter clinical studies are certainly needed to validate these findings.

Abstract Background: Benign breast disease (BBD) is a risk factor for breast cancer (BC); however, little is known about the genetic alterations present at the time of BBD diagnosis, and how these relate to risk of incident BC. Methods: A subset of a long-term BBD cohort was selected to examine DNA variation across three BBD groups (42 future estrogen receptor-positive (ER+) BC, 36 future estrogen receptor-negative (ER-) BC and 42 controls cancer-free for at least 16 years post-BBD). DNA extracted from archival formalin fixed, paraffin-embedded (FFPE) tissue blocks was tested and analyzed for presence of DNA alterations using a targeted panel of 93 BC-associated genes. To address artifacts frequently observed in FFPE tissues (e.g., C>T changes), we applied three filtering strategies based on alternative allele frequencies and nucleotide substitution context. Gene-level associations were performed using two burden tests, SKAT-O and logistic regression, and adjusted for clinical and technical covariates including epithelial percentage, histologic impression, patient age and year of BBD biopsy. Results: After filtering, the variant frequency of SNPs in our samples was highly consistent with population allele frequencies reported in 1KG/ExAC (0.986, p <1e-16). Ten genes were found to be associated with later cancer status by four of 12 association methods, with nominal p-values <0.05: MED12, MSH2, BRIP1, PMS1, GATA3, MUC16, FAM175A, EXT2, MLH1 and TGFB1. Additionally, analysis revealed 11 and 19 gene-level associations with p-values <0.05 and OR<1 for all cancer cases and ER- cases, respectively. Comparing between the three case groups, BBD ER+ cases were closer to controls in mutation profile, while BBD ER- cases were distinct. Notably, the variant burden was significantly higher in controls than in either ER+ or ER- cases. CD45 expression was associated with mutational burden (p=0.003).Conclusions: Somatic mutations were more frequent in benign breast tissue from women who did not develop cancer, opening questions of clonal diversity or immune-mediated restraint on future cancer development. CD45 expression was positively associated with mutational burden, most strongly in controls. Further studies in both normal and premalignant tissues are needed to better understand the role of somatic gene mutations and their contribution to future cancer development.

Abstract Purpose: Airway manipulation is a high-risk procedure due to aerosolization of viral particles. This has become of paramount importance during the COVID-19 pandemic in an effort to protect personnel involved in airway management. We designed and tested a copper frame to support a plastic drape to contain aerosols and allow for reduction of risk during airway management. The “CopperHead” frame allows airway management with minimal limitations in a wide range of scenarios including elective and urgent intubations, management of unstable patients, cardiopulmonary resuscitation (CPR), bronchoscopy, and extubation. The frame was made of copper to utilize its inherent antimicrobial and antiviral properties. Intervention and Measurements: We performed multiple simulations to measure FiO2 accumulation underneath the frame and plastic drape. We also performed defibrillations on a mannequin with the apparatus in place to evaluate for safety during times that the device is not removed prior to defibrillation, as indicated. We then deployed the device throughout our hospital and analyzed the resulting data on procedure success and infection rates in both COVID-positive and COVID-negative cohorts.Main Results: The technique is reproducible and allows for airway manipulation in COVID-19 suspected or confirmed patients. The FiO2 under the copper frame and plastic drape increased, but quickly dispersed when the frame was removed. We performed multiple defibrillations with apparatus in place with no adverse events. We showed that with the device in place, there appears to be no hindrance to successful intubation with 94 successful procedures in 74 patients and an 87% (60/69) first-pass intubation rate, and there were no documented clinicians or respiratory therapy infections through exposures to COVID-19 positive patients.Conclusions: The addition of a copper frame to a plastic drape over patients was an effective way to improve the safety and ease of intubation in the COVID-19 pandemic. This device was well received among our clinicians and served to benefit both intubation and extubation of recovered patients.

Background: Chimeric Antigen Receptor (CAR) T-cell therapy has changed the treatment landscape for patients with Non-Hodgkin Lymphoma (NHL). Despite the excellent responses in relapsed or refractory (R/R) aggressive NHL (aNHL), the outcome of patients (pts) that fail CAR T-cell therapy remains poor, and there is not a clear path for management of their disease. Methods: We conducted a retrospective analysis of aNHL pts treated with axicabtagene ciloleucel (axi-cel) at the Mayo Clinic campuses in Arizona and Florida between June 2018 and August 2020. We evaluated the predisposing factors, management, toxicities, and response after CAR T-cell therapy failure. Statistical calculations using parametric tests were performed, and survival curves were estimated using the Kaplan-Meier method and compared statistically using the log-rank test and Pearson's correlation. Results: Thirty-four pts with aNHL received axi-cel. The median age was 53 years [IQR 42-63], and 62% were male. All pts received inpatient axi-cel infusions and the median length of hospital stay was 14 days (IQR: 11-17). Cytokine Release Syndrome (CRS) was observed in 91% of pts (3% grade ≥3), while Immune Effector Cell Associated Neurotoxicity Syndrome (ICANS) was observed in 41% (24% grade ≥3). At day 30 response assessment, 16 pts (47%) had complete responses (CR), 9 (26%) had a partial response (PR), 4 (12%) had stable disease (SD), 4 (12%) showed progression with primary refractory disease (PD) and 1 (3%) died before assessment due to grade 5 ICANS (Table 1). After a median follow-up of 178 days, we observed PD in 12 (35%) pts. The median time-to-progression was 72 days (IQR 58-93) and most of the pts (83%) progressed during the first 3 months. None of the patients with more than 5 months of sustained response developed progression of disease. The likelihood of progression during the first 6 months after axi-cel infusion was 19%, 57%, 50% for pts that initially achieved a CR, PR, SD, respectively. Expression of CD19 was observed in 66% (4/6) of pts with available biopsies after axi-cel suggesting a failure mechanism other than antigen escape. The mortality rate of the R/R aNHL group was 58% with a median survival time of 83 days (IQR: 50-109). There was no association between age, stage, number of previous therapies, time from previous therapy to axi-cel infusion, time from apheresis to infusion, use of tocilizumab, or steroids with progression of disease. Of note, no correlation between CRS or ICANS with progression of disease was found (2-way ANOVA test F (1, 4) = 3.802, p=0.1230). Maintaining a response to axi-cel treatment (CR, PR, or SD) for ≥ 3 months was a strong predictor of durable response with an HR of 0.05 (p= &lt;0.0001). Eleven R/R pts received subsequent therapies with a median time to retreatment of 76 days. Those treatments included: Radiotherapy (n=7), pembrolizumab (n=3), polatuzumab-rituximab with (n=3) and without (n=1) bendamustine, obinutuzumab with (n=1) or without (n=1) lenalidomide, Hyper-CVAD (n=2), R-GemOx (n=1), rituximab with lenalidomide (n=1) and intrathecal methotrexate (n=1). Only 2 (17%) patients have responded to salvage therapy achieving PR (one patient treated with radiotherapy and the other with rituximab-lenalidomide after two other salvage therapies). Conclusion: Our experience demonstrates the majority of aNHL patients respond to axi-cel. If patients maintain their response for more than 3 months, the likelihood of progression is very low - 15%. Similar to what has been previously reported in the literature, our series showed that 35% of patients progressed after axi-cel, and subsequently have a poor prognosis with median survival after a relapse of only 83 days (IQR: 50-109). Therapy options following axi-cel were limited due to severe cytopenias, only 2 of 11 patients have responded to salvage therapy, suggesting that conventional treatments are probably not effective/safe in this high-risk group of patients. Interestingly, the majority of R/R pts with available biopsies showed persistent CD19 expression suggesting that CAR T-cell exhaustion, poor in vivo expansion, and inhibitory signals of the tumor microenvironment may contribute to resistance. Additional strategies for monitoring of axi-cel persistence and its immunophenotypic profile could be helpful for prognosis and management of CAR T-cell pts receiving axi-cel. Disclosures Kharfan-Dabaja: Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy. Castro:Fate Therapeutics: Research Funding; Kite Pharma: Research Funding; Pharmacyclics: Research Funding.

PURPOSE Pretreatment estimates of seminal vesicle invasion (SVI) are challenging and significantly influence the management of prostate cancer. We sought to improve current models to predict SVI through the development of an SVI prediction genomic signature. PATIENTS AND METHODS A total of 15,889 patients who underwent radical prostatectomy (RP) with available baseline clinical, pathology, and transcriptome data were retrieved from the GRID registry (ClinicalTrials.gov identifier: NCT02609269 ) and other retrospective cohorts. These data were divided into a training (n = 6,766), test (n = 3,363), and two validation (n = 5,062 and 698) cohorts. Multivariable logistic regression was performed to assess the predictive effect of the genomic SVI (gSVI) classifier in the presence of established nomograms (Partin Tables and Memorial Sloan Kettering Cancer Center [MSKCC]). RESULTS In the training cohort, univariable filtering identified 2,132 genes that were differentially expressed between RP tumors with and without SVI. Model parameters were tuned to maximize the area under the curve (AUC) in the testing cohort, resulting in a logistic generalized linear model with 581 genes. The gSVI model scores range from 0 to 1. In the first validation set, gSVI showed superior discrimination of patients with and without SVI at RP compared with other prognostic signatures trained to predict distant metastasis or clinical recurrence. Of the 698 patients in the second validation set, gSVI combined with the MSKCC nomogram had a superior AUC (0.86) compared with either nomogram individually (0.81). CONCLUSION The gSVI represents a novel and validated expression signature to predict the presence of SVI before treatment with surgery. This genomic tool adds discriminatory power to existing clinical predictive nomograms and may help with pretreatment counseling and decision making.

AbstractCarotid artery atherosclerotic disease (CAAD) is a risk factor for stroke. We used a genome‐wide association (GWAS) approach to discover genetic variants associated with CAAD in participants in the electronic Medical Records and Genomics (eMERGE) Network. We identified adult CAAD cases with unilateral or bilateral carotid artery stenosis and controls without evidence of stenosis from electronic health records at eight eMERGE sites. We performed GWAS with a model adjusting for age, sex, study site, and genetic principal components of ancestry. In eMERGE we found 1793 CAAD cases and 17,958 controls. Two loci reached genome‐wide significance, on chr6 in LPA (rs10455872, odds ratio [OR] (95% confidence interval [CI]) = 1.50 (1.30–1.73), p = 2.1 × 10−8) and on chr7, an intergenic single nucleotide variant (SNV; rs6952610, OR (95% CI) = 1.25 (1.16–1.36), p = 4.3 × 10−8). The chr7 association remained significant in the presence of the LPA SNV as a covariate. The LPA SNV was also associated with coronary heart disease (CHD; 4199 cases and 11,679 controls) in this study (OR (95% CI) = 1.27 (1.13–1.43), p = 5 × 10−5) but the chr7 SNV was not (OR (95% CI) = 1.03 (0.97–1.09), p = .37). Both variants replicated in UK Biobank. Elevated lipoprotein(a) concentrations ([Lp(a)]) and LPA variants associated with elevated [Lp(a)] have previously been associated with CAAD and CHD, including rs10455872. With electronic health record phenotypes in eMERGE and UKB, we replicated a previously known association and identified a novel locus associated with CAAD.

Abstract Background: Biopsy diagnosis of benign breast disease (BBD) based on the most severe lesion in a sample predicts future breast cancer risk and has implications for screening and management. Lobules are the functional unit of the breast and the structures from which BBD arises. We developed and preliminarily validated an automated computational pathology algorithm to discriminate normal from BBD breast lobules as a step toward automated comprehensive characterization of benign biopsies. Methods: 152 BBD biopsies (27 training, 125 validation) from the Mayo Clinic were examined using scanned digital images of H&E stained sections. For each image, a pathologist annotated up to 10 representative lobules as normal or BBD using standard pathology criteria. A deep learning algorithm to quantify lobular features was developed using 129 lobules from 27 subjects. Nine features were identified that discriminate normal vs BBD lobules, expressing lobule size, acini size and number, acinar lumen size, proportion of lobular stroma, and capillaries. Here, we validate their performance to discriminate normal vs BBD lobules in a set of 1250 lobules from 125 subjects using area under the ROC curve (AUC) analysis. Random forest analysis was used for multivariable modeling; model performance was assessed with a tenfold cross-validation approach. Results: Median subject age was 52 years. Among the 125 validation subjects, BBD findings were nonproliferative in 39%, proliferative in 45%, and atypical hyperplasia in 16%. Sections included 552 (44%) normal lobules and 698 BBD (56%) lobules, with representation of both lobule types on each section. In univariate analyses, four individual features showed good discrimination between normal vs. BBD lobules, yielding the following AUCs: lobule size= 0.74, mean acini size= 0.75, epithelial area= 0.75, and number of acini with large lumens= 0.76. Lobule size and epithelial area were highly correlated (Spearman rank correlation r = 0.95), but both of these features showed lower correlation with mean acini size and number of acini with large lumens (each r &lt; 0.5). With random forest modeling, number of acini with large lumens was the strongest discriminating feature, followed by mean acini size, lobule size, and epithelial area. With ten-fold cross validation of the multivariable random forest model, the overall AUC was 0.82 (95% CI: 0.79-0.85). Conclusion: Our validation showed that automated quantitative computational pathology assessment of breast lobules can discriminate normal versus BBD on a per lobule basis. This finding supports the feasibility of developing automated algorithms to classify every lesion in breast biopsies, expanding beyond visual assessment. Further studies using deep learning may reveal novel pathology features for classifying BBD biopsies with the potential to strengthen estimation of breast cancer risk. Citation Format: Amy C. Degnim, Thomas de Bel, Mark E. Sherman, Derek C. Radisky, Stacey J. Winham, Tanya L. Hoskin, Melody L. Stallings Mann, Marlene Frost, Robert A. Vierkant, Brendan T. Broderick, Ethan P. Heinzen, Rushin Brahmbhatt, Muhammad Arshad, Celine M. Vachon, Jodi M. Carter, Lori A. Denison, Daniel W. Visscher, Jeroen van der Laak. Discrimination of benign breast disease from normal lobules using an automated computational pathology algorithm [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2113.

AbstractThis case illustrates an unusual presentation of paraneoplastic myositis in stage IV follicular lymphoma managed with high‐dose steroids, a previously unreported entity in the literature.