Citations

SIGNIFICANCE Alignment of the scleral lens haptic with the anterior ocular surface is of critical importance when fitting scleral lenses. The concept of leveraging big‐data analysis to drive lens design is explored in this study. This retrospective study evaluated fitting outcomes of a data‐driven, quadrant‐specific scleral lens design and found that most patients (76%) were successfully fit with this design. PURPOSE The purpose of this study was to evaluate clinical outcomes with a data‐driven, quadrant‐specific scleral lens design compared with traditional lens designs. METHODS For this multicenter retrospective observational study, A REDCap (Research Electronic Data Capture) survey was distributed to scleral lens practitioners who participated in β testing of a data‐driven, quadrant‐specific scleral lens design (study lens) between June 1, 2016, and January 31, 2017. Descriptive data were collected, and patient‐reported outcomes, visual acuity, and lens design outcomes achieved with the study lens were described. RESULTS Seventy‐five patients (85 eyes) were fit with the study lens design between June 2016 and January 2017. Mean patient age was 47 years (range, 17 to 77 years). Forty‐six were male, and 29 were female. Seventy‐six eyes (89%) were fit for corneal irregularity, whereas nine eyes (11%) were fit for management of ocular surface disease. Compared with habitual correction, 22% more eyes achieved 20/20 or better, and 21% more eyes achieved 20/40 or better. There was also a 60% decrease in the need for midday removal with the study lens. An average of two lenses were manufactured per eye to complete the fitting process. CONCLUSIONS Using a data‐driven, quadrant‐specific scleral lens resulted in visual improvement, a reduced need for midday removal, and an average of two lenses needed to complete the fitting process. Longer‐term clinical outcomes and the use of big‐data analysis to inform scleral lens design should be further explored.

Objectives: Use of observational data to inform the response and care of patients during a pandemic faces unique challenges. Design: The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study COVID 2019 Registry Core data and research methodology team convened over virtual meetings throughout March to June 2020 to determine best practice goals for development of a pandemic disease registry to support rapid data collection and analysis. Setting: International, multi-center registry of hospitalized patients. Patients: None. Interventions: None. Measurements and Main Results: Large-scale observational data collection requires: 1) quality assurance and harmonization across many sites; 2) a transparent process for selecting from among many potential research questions; 3) the use of best practices in design of descriptive, predictive, and inferential studies; (4) innovative approaches to characterize random error in the setting of constantly updated data; (5) rapid peer-review and reporting; and (6) transitions from a focus on discovery to implementation. Herein, we describe the guiding principles to best practices and suggestions for innovations to study design and reporting within the coronavirus disease 2019 Viral Infection and Respiratory Illness Universal Study pandemic registry. Conclusions: Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study coronavirus disease 2019 registry sought to develop and implement prespecified best practices combined with grassroots efforts from clinical sites worldwide in order to develop clinically useful knowledge in response to a pandemic.

Abstract Background: Early detection decreases patient mortality for many cancers, but prevailing paradigms focus on distinct screening modalities for each cancer type. A minimally invasive test that detects multiple tumor types could substantially reduce cancer mortality and improve screening efficiency. In preliminary studies, we showed that a targeted methylation cell-free DNA (cfDNA) test can detect cancer and determine the tissue of origin (TOO) of abnormally methylated cfDNA with high sensitivity and specificity; however, blood was collected at the time of diagnosis and results were not disclosed to inform care. The current study includes disclosure of results to the study investigator to understand the care pathways prompted by a “signal detected” test result, and the benefits, harms, and burdens associated with a multi-cancer detection test. Methods: PATHFINDER (NCT04241796) is a prospective, longitudinal, multi-center clinical study. Approximately 6,200 participants with varying levels of cancer risk will be enrolled at 5-10 clinical sites in the United States. Participants must be ≥50 years of age. If participants have at least 1 of the following–a smoking history of ≥100 cigarettes, a genetic cancer predisposition, or a history of invasive or hematologic malignancy with definitive treatment completed >3 years prior to enrollment–they are eligible for the Elevated Risk Cohort (n = 4340); otherwise, they are eligible for the Non-Elevated Risk Cohort (n = 1860). Individuals being evaluated for cancer or who have a history of invasive or hematologic malignancy within 3 years of enrollment will be excluded. Blood drawn at study sites will be analyzed at GRAIL, Inc. (Menlo Park, CA). Participants and study investigators will be informed of the test results. Participants with “signal not detected” results will be advised to continue routine clinical care, including age- and risk-based cancer screening. Those with “signal detected” test results will be informed of the predicted origin and undergo diagnostic evaluation. The primary study objective is to determine the extent of diagnostic testing required to achieve diagnostic resolution following a “signal detected” test result, defined as the date when the study investigator determines to end diagnostic evaluation triggered by a “signal detected” test result. Health resource utilization, the number and types of tests and time required to reach this point, is the primary endpoint. Secondary objectives include evaluation of test performance (specificity, positive predictive value, and TOO accuracy), and assessment of participants' perceptions about the test and changes in anxiety and health-related quality of life. Exploratory aims include assessment of the number and types of invasive cancer diagnoses among participants with “signal not detected” test results and changes in attitude toward adherence to guideline-recommended screening. Citation Format: Lincoln Nadauld, Charles H. McDonnell III, Minetta C. Liu, Eric Klein, Tomasz M. Beer, Deborah Schrag, Andrew G. Hudnut, Richard Whittington, Bruce Taylor, Joanna Tierney, Catherine Marinac, Jafi Lipson, Margarita Lopatin, Karen C. Chung, Eric Fung, Anne-Renee Hartman, Geoffrey R. Oxnard. The PATHFINDER Study: Assessment of the implementation of an investigational multi-cancer early detection test into clinical practice [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 CT291.

Abstract Our group has demonstrated that combinations of epigenetic modifiers produce potent synergy in pre-clinical models of PTCL, and has confirmed this data in early phase clinical studies. We showed that the combination of romidepsin and hypomethylating agents, decitabine or azacytidine, uniquely induces the expression of genes, including cancer testis antigens, gamma interferon and endogenous retrovirus. We are conducting a phase 1 study of pembrolizumab combined with pralatrexate alone (Arm A), with pralatrexate + decitabine (Arm B), or decitabine alone (Arm C) in patients with peripheral T-cell lymphoma (PTCL) and cutaneous T-cell lymphoma. In addition, we are conducting a Phase 1/2A study of durvalumab combined with oral 5-azacitidine + romidepsin (Arm A), pralatrexate + romidepsin (Arm B), romidepsin (Arm C), or oral 5-azacitidine (Arm D) in patients with PTCL. Patient characteristics are listed in Table 1. We have treated a total of 12 patients across the 2 trials and 4 different Arms including pralatrexate plus pembrolizumab (3 patients), pralatrexate, decitabine and pembrolizumab (3 patients), decitabine and pembrolizumab (3 patients) and azacytidine, romidepsin and durvalumab (3 patients). Twelve patients out of 12 received at least one dose of drug and were evaluable for toxicity. There was a dose limiting toxicity (DLT) for each arm including prolonged grade 3 thrombocytopenia, febrile neutropenia, grade 3 hyponatremia and rash, and cytokine release syndrome, respectively. There were no treatment-related deaths. Eight patients out of 12 are evaluable for response at the time of this analysis. Three out of 8 patients achieved a complete remission, 3 out of 8 patients had a partial remission, and 2 out of 8 patients experienced progression of disease. Interestingly, all of the responses were seen in the triple combination of pralatrexate, decitabine, pembrolizumab and azacytidine, romidepsin and durvalumab. These preliminary clinical data suggest that the addition of immune-checkpoint inhibitors on an epigenetic backbone is safe and demonstrates encouraging responses in patient with PTCL and CTCL. These trials are registered at www.clinicaltrials.gov (NCT03240211, NCT03161223). Patient characteristics (n=12)Median age (range)68 (26-77)Sex, n (%) Male Female6 (50) 6 (50)Race, n (%)White/Non-Hispanic White/Hispanic Black Asian Unknown5 (42) 1 (8) 3 (25) 1 (8) 2 (17)Histology, n (%) PTCL, NOS AITL Mycosis Fungoides PTCL, NOS TFH ATLL Sezary Syndrome ALCL, ALK+2 (17) 2 (17) 2 (17) 1 (8) 1 (8) 1 (8) 1 (8)Stage at diagnosis IB II III IV Unknown1 (8) 2 (17) 3 (25) 4 (33) 2 (17)Median number of prior therapies (range) **2 unknown3 (0-5) Citation Format: Enrica Marchi, Helen Ma, Francesca Montanari, Ahmed Sawas, Jennifer K. Lue, Changchun Deng, Kareema T. Whitfield, Sandra Klein, Matthew V. Matthew, Freedy J. Loffredo, Luigi Scotto, Hyejung Lee, Hye A. Kim, Alice T. Jacobs, Aishling M. Rada, Karen A. Khan, Salvia Salvia, John Lister, Nora N. Benanni, Mark A. Francescone, Pier Luigi Zinzani, Wonseog Kim, Owen A. O'Connor. The integration of PD1 blockade with epigenetic therapy is highly active and safe in heavily treated patients with T-cell lymphoma [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 CT160.

Abstract Background: Amplification of chromosome 9p24.1 targeting PD-L1, PD-L2, and JAK2 (PDJ amplicon) is present in ~15% of TNBCs and is associated with activation of the JAK/STAT pathway and poor clinical outcomes. In preclinical studies, PD-L1 expression is markedly and rapidly inducible by low-dose IFN-γ in a PDJ amplicon copy-number dependent manner, mimicking an in situ inflammatory response. This suggests PDJ amplification could identify those TNBCs that would respond to ICIs and/or JAK2 targeted-therapies. The goals in this study were to determine the PDJ status of a well annotated cohort of TNBC PDXs with a 3 color FISH assay and to further define the genomes and transcriptomes of PDJ+ and PDJ- TNBCs. Methods: Tissue microarrays (TMAs) of 49 cores from 27 breast cancer PDX samples, including 21 TNBCs were obtained from the Baylor College of Medicine. The TMAs were interrogated with a 3 color FISH assay consisting of three probes that simultaneously target the PDJ amplicon, 9q22, and 9q34.1. The ratios of PDJ to 9q22 and PDJ to 9q34.1 were calculated to distinguish PDJ amplification from polyploidy. In each case, 50 cells were scored. Samples with PDJ signal >4.0, PDJ/9q22 ≥2 and/or PDJ/9q34.1 ≥2 were called positive by FISH. A subset of PDJ+ PDXs was then flow sorted by DNA content and interrogated with 400k whole genome CNV arrays. These results were integrated with existing clinical, exome, and transcriptome data for the TMAs (pdxportal.research.bcm.edu). Results: PDJ amplification was identified in 6/27 PDX samples including 3/21 (14%) TNBCs. Notably the number of PDJ+ cells in each sample ranged from 2-18. Single cells with ≥10 copies were observed in each PDJ+ sample as well as two PDJ- TNBCs. PDJ+ samples had increased expression of PD-L1 and JAK2 in their RNAseq data. Whole genome CNV analysis of flow sorted PDJ+ samples confirmed the presence of the PDJ amplicon and identified co-occurring amplifications and deletions. A similar pattern of PDJ amplicon heterogeneity was seen in a Mayo Clinic Arizona cohort of 70 surgically resected TNBCs. Previous whole genome CNV analysis of flow sorted samples identified 13/70 (18%) PDJ+ cases. FISH analysis of 14 TNBCs from this cohort (PDJ+ and PDJ- cases) validated these results and identified PDJ+ tumors with cells containing >20 copies of the amplicon. Conclusion: Our multicolor FISH assay of PDX and primary resected samples confirms a prevalence of ~15% PDJ+ TNBCs. Previous studies have reported an enrichment of JAK2 amplification in neoadjuvant treated TNBCs. Given the heterogeneous FISH patterns in both PDJ+ and PDJ- samples in our cohorts, we hypothesize that neoadjuvant therapy could enrich the presence of PDJ+ cells and thereby sensitize TNBCs to ICIs and JAK2 targeted therapies. Future work will explore the role of PDJ amplification and the presence of PDJ+ cells in TNBCs in response to neoadjuvant therapy. Citation Format: Alexander S. Roesler, Smriti Malasi, Elizabeth Lenkiewicz, Barbara A. Pockaj, Michael T. Lewis, Lacey E. Dobrolecki, Lori Koslosky, Peter Hartmayer, Karen S. Anderson, Michael T. Barrett. PDJ amplicon heterogeneity in triple negative breast cancers [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 1790.

Abstract BackgroundSelf-assembly of the amyloid-β (Aβ) peptide into aggregates, from small oligomers to amyloid fibrils, is fundamentally linked with Alzheimer’s disease (AD). However it is clear that not all forms of Aβ are equally harmful, and that linking a specific aggregate to toxicity also depends on the assays and model systems used [1, 2]. Though a central postulate of the amyloid cascade hypothesis, there remain many gaps in our understanding regarding the links between Aβ deposition and neurodegeneration.MethodsIn this study, we examined familial mutations of Aβ that increase aggregation and oligomerization, E22G and DE22, and induce cerebral amyloid angiopathy, E22Q and D23N. We also investigated synthetic mutations that stabilize dimerization, S26C, and a phospho-mimetic, S8E, and non-phospho-mimetic, S8A. To that end, we utilized BRI2-Aβ fusion technology and rAAV2/1 based somatic brain transgenesis in mice to selectively express individual mutant Aβ species in vivo . In parallel we generated PhiC31-based transgenic Drosophila melanogaster expressing wild type (WT) and Aβ40 and Aβ42 mutants, fused to the Argos signal peptide to assess the extent of Aβ42-induced toxicity as well as to interrogate the combined effect of different Aβ40 and Aβ42 species.ResultsWhen expressed in the mouse brain for 6 months, Aβ42 E22G, Aβ42 E22Q/D23N, and Aβ42WT formed amyloid aggregates consisting of some diffuse material as well as cored plaques, whereas other mutants formed predominantly diffuse amyloid deposits. Moreover, while Aβ40WT showed no distinctive phenotype, Aβ40 E22G and E22Q/D23N formed unique aggregates that accumulated in mouse brains. This is the first evidence that mutant Aβ40 overexpression leads to deposition under certain conditions. Interestingly, we found that mutant Aβ42 E22G, E22Q, and S26C, but not Aβ40, were toxic to the eye of Drosophila . In contrast, flies expressing a copy of Aβ40 (WT or mutants) in addition to Aβ42WT, showed improved phenotypes, suggesting possible protective qualities for Aβ40.ConclusionsThese studies suggest that some Aβ40 mutants form unique amyloid aggregates in mouse brains, despite protecting against Aβ42 toxicity in Drosophila , which highlights the significance of using different systems for a better understanding of AD pathogenicity and more accurate screening for new potential therapies.

G 4 C 2 repeat–derived poly(GR) plays a key role in mediating TDP-43 mislocalization and aggregation in vitro and in vivo.

Abstract Background: Persons of African ancestry (AA) experience a 1.5-2-fold risk of multiple myeloma (MM) compared to persons of European ancestry (EA). We assembled a set of MM patients with self-reported AA in order to evaluate the contribution of genetics to etiology in this high-risk group. Methods: Here we present the results of a meta-analysis of two GWAS in 1,813 cases and 8,871 controls of AA. We also conducted an admixture mapping scan to identify risk alleles associated with local ancestry, fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA, and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. Finally, we conducted an eQTL analysis measuring gene expression in those genes harboring a risk variant in malignant plasma cells from 292 of the patients from a single site. Results: In GWAS analysis, we identified two suggestive novel loci located at 9p24.3 and 9p13.1 at P<1 × 10-6, but no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. 20 of the 23 known EA risk variants showed directional consistency and 9 replicated at P<0.05 in AA individuals. In eight regions, we identified markers that better capture MM risk in persons of AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95%CI: 1.56, 2.11) increased MM risk compared to those with average risk (25-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P= 5.1 × 10–12). Conclusion: Our study shows that common genetic variation contributes to MM risk individuals of AA. This abstract is also being presented as Poster C040. Citation Format: Zhaohui Du, Niels Weinhold, Gregory Chi Song, Kristen A. Rand, David J. Van Den Berg, Amie E. Hwang, Xin Sheng, Victor Hom, Sikander Ailawadhi, Ajay K. Nooka, Seema Singhal, Karen Pawlish, Edward Peters, Cathryn Bock, Ann Mohrbacher, Alexander Stram, Sonja I. Berndt, William J. Blot, Graham Casey, Victoria L. Stevens, Rick Kittles, Phyllis J. Goodman, W. Ryan Diver, Anselm Hennis, Barbara Nemesure, Eric A. Klein, Benjamin A. Rybicki, Janet L. Stanford, John S. Witte, Lisa Signorello, Esther M. John, Leslie Bernstein, Antoinette Stroup, Owen W. Stephens, Maurizio Zangari, Frits Van Rhee, Andrew Olshan, Wei Zheng, Jennifer J. Hu, Regina Ziegler, Sarah J. Nyante, Sue Ann Ingles, Michael Press, John David Carpten, Stephen Chanock, Jayesh Mehta, Graham A Colditz, Jeffrey Wolf, Thomas G. Martin, Michael Tomasson, Mark A. Fiala, Howard Terebelo, Nalini Janakiraman, Laurence Kolonel, Kenneth C. Anderson, Loic Le Marchand, Daniel Auclair, Brian C.-H. Chiu, Elad Ziv, Daniel Stram, Ravi Vij, Leon Bernal-Mizrachi, Gareth J. Morgan, Jeffrey A. Zonder, Carol Ann Huff, Sagar Lonial, Robert Z. Orlowski, David V. Conti, Christopher A. Haiman, Wendy Cozen. A meta-analysis of genome-wide association study and eQTL analysis of multiple myeloma among African Americans [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr PR05.