Citations

AbstractPrevious transcriptome‐wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome‐wide association studies (GWAS), but analyses of breast cancer subtype‐specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta‐analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER−). We further compared associations with ER+ and ER− subtypes, using a case‐only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER– breast cancer. We further identified 30 TWAS‐significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast‐cancer gene in three of six regions harboring multiple TWAS‐significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER− breast cancer.

160 Background: mCRPC is a heterogeneous disease state with variable survival and molecular markers that define survival continue to be determined. We applied a 120 gene panel based targeted next-gen sequencing (NGS) approach to probe plasma ctDNA based outcomes for survival. Methods: mCRPC chemo-naive patients (pts) were enrolled in a prospective study and plasma cell free DNA (cfDNA) extracted. ctDNA fractions estimated based on somatic variants. NGS of plasma cfDNA was performed using HiSeq X Ten on a panel of 120 genes (PredicineLDT). Clinical and molecular prognostic factors were determined for overall survival (OS). Cox proportional hazard regression was used to estimate hazard ratios (HR) at the univariate level and only significant associations included in multivariate analysis (significance at P<0.05). Results: 96 mCRPC pts were enrolled. 17/96 pts failed NGS QC. Median cfDNA, ctDNA yields for 79/96 pts are provided in Table. Median follow up for study cohort was 92.5 months (mon) (Range:62.3-109.6); median survival time was 25.9 mon (95% CI:19.9, 31.4) and 72/79 pts had died. TMPRSS2-ERG fusion was detected in 18/79 pts. Significant alterations associated with OS are listed in Table. 49/59 pts underwent subsequent docetaxel chemo. In chemo treated pts significant copy number alterations predictive of survival included AR amplification (p=0.01, HR=2.0, 95% CI[1.2, 3.5], RB1 loss (p=3.20E-06, HR=5.0, 95% CI[2.4, 10.6], PTEN(p=0.009, HR=2.6, 95% CI[1.2, 5.4]), CDH1(p=0.001, HR=4.3, 95% CI[1.6, 11.4]). Conclusions: ctDNA yield in mCRPC state was the most significant prognostic factor for survival, Several specific plasma genomic perturbations were observed topredict docetaxel efficacy and need further evaluation.[Table: see text]

Background: Relapse remains the most common cause of treatment failure after intensive induction and consolidation (CONS) therapy in older adults with AML. We therefore performed a prospective randomized phase II study to determine the safety and impact on DFS (relapse or death) and OS of DAC maintenance using an abbreviated 3-day schedule administered every 4 weeks for 1 year (per Lubbert et al, Haematologica 97:393, 2012) vs. Observation (OBS) after intensive AML therapy, conducted in the large multi-center E-A E2906 Phase III trial in patients (pts) age ≥60 yrs. Methods: The design and primary clinical results for E2906 (n=727) have been reported previously (Foran et al, ASH #217a, 2015), demonstrating superior OS following 'Standard' 7&3 (Daunorubicin 60mg/m2) induction and intermediate dose Ara-C consolidation (CONS) vs. single agent Clofarabine (CLO, provided by SANOFI), despite similar CR/CRi (CR with incomplete CBC recovery) and induction mortality rates. All CR/CRi pts after induction (n=311) were assigned to 2 cycles CONS with either Ara-C (1.5g/m2 x 12 doses; 6 doses if age &gt;/=70 yrs), or single agent CLO, based on induction randomization. Ongoing CR/CRi after recovery from CONS was confirmed with restaging BM biopsy, and eligible pts offered participation in the 'Step 3' maintenance study, a 1:1 randomization (stratified by induction therapy, cytogenetic risk group, age &lt;70 yrs) to either OBS vs. DAC (20mg/m2IV Days 1-3, q4 wks) for 1 year. DAC could be held for up to 4 weeks for delayed hematologic recovery, but dose reductions were not permitted per protocol, and DAC was not continued beyond 12 months. Patients in both arms were evaluated with CBC q4 weeks for 1 year, and surveillance BM biopsy every 3 months (or at the time of suspected clinical relapse) for 2 years. 'Step 3' was designed as a phase II pilot randomized study, with target accrual n=172, allowing 90% power to detect 36% reduction in DFS Hazard Ratio (HR) with DAC maintenance for 1 year (using protocol-specified 1-sided log-rank test significance level of 0.1), assuming 140 events & 2 years of follow-up from randomization. However, further accrual to E2906 was suspended in 2/2015 by independent DSMC due to superior OS observed with standard Arm, so that 'Step 3' completed only 70% of target accrual. P-values reported are two-sided by convention unless specified otherwise. Results: 'Step 3' total accrual was n=120 (of 172 planned) (DAC 61, OBS 59), with median age 69 yrs (range 60-85), and groups were very well balanced for baseline clinical characteristics; most pts had Intermediate risk cytogenetics (74.2%) and ECOG performance status (PS)=0/1 (96%). The median number of DAC cycles received was 6 (range 0-13), and analysis was 'intention-to-treat'. The median follow-up is 49.8 months. There were 90 DFS events (47 OBS, 43 DAC), with 82 deaths (46 OBS, 36 DAC). Univariate DFS and OS are shown in Figure, with associated two-sided p-values; using protocol-prespecified one-sided significance level of 0.1, OS was significant (one-sided p=0.06) for DAC v. OBS, and there was a statistical trend favoring DFS (one-sided p=0.11), particularly for CLO pts (Table). We also performed multivariate Cox model (after adjustment for ECOG PS, sex, secondary AML, and baseline hematologic parameters) which confirmed superior HR for DFS (one-sided p=0.10) & OS (one-sided p=0.07), per statistical design. FLT3-ITD status is available for n=96 pts, and 84 were FLT3-ITD-negative (46 OBS, 38 DAC). Importantly, we observed a significant association of DAC maintenance with superior OS in the large FLT3-ITD-neg subgroup (p=0.039) (Figure). DAC was generally well tolerated apart from grade 3 febrile neutropenia (9%) and reversible grade 4 cytopenias, with no grade 5 events. Conclusions: In this randomized phase II study, DAC maintenance for 1 year after intensive AML therapy was associated with improved HR for OS and a trend for DFS, using protocol-specified statistical design. Furthermore there was a significant impact on OS for the FLT3-ITD-negative population. We acknowledge limitations based on incomplete accrual due to early termination of the parent E2906 study, and inherent to the phase 2 design of this E2906 endpoint, but results suggest an important impact of DAC maintenance on survival. These data strongly support a definitive phase III randomized study of DAC maintenance, particularly focused on the large intermediate risk FLT3-ITD-negative subgroup. Disclosures Foran: Agios: Honoraria, Research Funding. Claxton:Daiichi Sankyo Co. and Ambit Biosciences Corp, Astellas Pharma, Novartis Pharmaceuticals, Incyte Corporation, Cyclacel Pharmaceuticals, Inc, Celegene Corporation, Medimmune, Inc, Merck Sharp & Dohme Corp., Gilead Sciences, Inc.: Research Funding. Lazarus:Pluristem Therapeutics, Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Speakers Bureau; Genentech: Speakers Bureau; Biosight: Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Speakers Bureau; Jazz Pharmaceuticals: Consultancy, Honoraria, Speakers Bureau; Adaptive Biotechnologies: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria, Speakers Bureau; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Honoraria, Speakers Bureau; Teva Pharmaceuticals: Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; CSL Behring: Consultancy. Rowe:BioSight: Consultancy. Altman:Cancer Expert Now: Consultancy; Glycomimetics: Consultancy, Honoraria, Other: Data Safety and Monitoring Committee; prIME Oncology: Speakers Bureau; PeerView: Speakers Bureau; Agios: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Theradex: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; France Foundation: Speakers Bureau; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Biosight: Other: US Lead. Luger:Ariad: Research Funding; Agios: Honoraria; Biosight: Research Funding; Seattle Genetics: Research Funding; Pfizer: Honoraria; Onconova: Research Funding; Kura: Research Funding; Jazz: Honoraria; Genetech: Research Funding; Daichi Sankyo: Honoraria; Cyslacel: Research Funding; Celgene: Research Funding. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Zheng:Pfizer: Research Funding. Pratz:AbbVie: Consultancy, Research Funding; Agios: Consultancy, Research Funding; Millenium/Takeda: Research Funding; Boston Biomedical: Consultancy; Astellas Pharma: Consultancy, Research Funding. Powell:Jazz Pharmaceuticals: Consultancy, Research Funding, Speakers Bureau; Pfizer: Consultancy, Research Funding; Janssen: Research Funding; Novartis: Consultancy, Speakers Bureau; Rafael Pharmaceuticals: Consultancy, Research Funding. Tallman:Tetraphase: Consultancy, Membership on an entity's Board of Directors or advisory committees; Nohla: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Rigel: Consultancy, Membership on an entity's Board of Directors or advisory committees; Delta Fly Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Biosight: Research Funding; KAHR: Consultancy, Membership on an entity's Board of Directors or advisory committees; Orsenix: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioLineRx: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Research Funding; UpToDate: Patents & Royalties; Cellerant: Research Funding; Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncolyze: Consultancy, Membership on an entity's Board of Directors or advisory committees. Off Label Disclosure: Use of maintenance Decitabine in AML

Introduction The United States Thrombotic Microangiopathy (USTMA) Consortium consists of high-volume US referral centers that are committed to collaborative research in TMAs. The USTMA Immune Thrombotic Thrombocytopenic Purpura (iTTP) registry has compiled retrospective data on demographics, treatments and outcomes in patients with iTTP to create the world's largest database of patients with this rare disease. While there is consensus on the use of therapeutic plasma exchange (TPE) for treatment of iTTP, there are no large randomized trials on which to base use of rituximab. The drug is frequently used for refractory or relapsed iTTP, but is currently being used more frequently for de novo (first episode) iTTP. We queried the USTMA iTTP registry to determine whether relapse free survival (RFS) is superior when rituximab is added to TPE and corticosteroids for treatment of iTTP. We hypothesized that the addition of rituximab would improve RFS at 5 years in both de novo and relapsing iTTP. Methods Following IRB approval at each institution, investigators independently reviewed individual patient records to confirm diagnostic criteria and entered demographic, treatment and outcomes data into the REDCap database housed at the University of North Carolina. The diagnosis of iTTP was defined as ADAMTS13 &lt; 10% or ADAMTS13 &lt; 20% with an inhibitor or antibody detected at any point or a clinical diagnosis of iTTP based on presenting characteristics, response to treatment and/or relapsing phenotype before ADAMTS13 testing became available (N=173). Relapse was defined as a recurrence of iTTP after at least 30 days of remission (recurrence within 30 days was considered an exacerbation, or continuation of the prior episode). To explore the effect of rituximab added to TPE and corticosteroids, we first assessed the treatment effect in de novo iTTP patients and then separately in relapse. We constructed Kaplan-Meier curves to compare RFS for patients treated with rituximab plus corticosteroids versus corticosteroids alone in both groups, and compared RFS at specific time points using the Klein method. To better understand whether other patient variables had an effect on RFS in both de novo episodes and relapses, ordinary (time-to-event) and mixed-effects (recurrent time-to-event) Cox proportional hazards models were used to examine the relationships of treatment, race/ethnicity, sex, age, treatment year, and presenting signs/symptoms with the outcome. Analyses were conducted using R version 3.5.2 (R Foundation for Statistical Computing, Vienna, Austria). Results As of July, 2019, the USTMA database contains 775 unique study patients with a confirmed diagnosis of iTTP with 1397 unique iTTP episodes. The treatment of patients' de novo iTTP episode was available for analysis in 375 patients, 188 of whom were treated with corticosteroids alone, 131 with corticosteroids plus rituximab, and 56 with other therapies. RFS was significantly higher in patients treated with corticosteroids and rituximab compared to those treated with corticosteroids alone at 1 year (0.93 vs. 0.78, p=0.0002) and 3 years (0.82 vs. 0.66, p=0.004) but not 5 years (0.60 vs. 0.56, p=0.39). In addition, the risk of relapse decreased with later treatment year for de novo iTTP (hazard ratio (HR) 0.95, 95% CI 0.92-0.99, p=0.03), consistent with rituximab use increasing over time, and was increased in African Americans compared with Caucasians (HR 1.83, 1.10-3.06, p=0.02). We then explored the treatment effect in all iTTP relapses (743 relapses in 426 patients). Here, a significant (p=0.0007) interaction between treatment and race was found. Among African Americans, we found no difference in RFS when rituximab was added (HR 1.15, 0.81-1.62, p=0.43). However, among Caucasians, RFS was significantly improved when rituximab was added (HR 0.15, 0.06-0.35, p&lt;0.0001). Conclusions For de novo iTTP, adding rituximab to corticosteroids for immunosuppression likely delays but does not prevent relapse. Unlike in de novo disease, in patients with relapsed iTTP, we found a novel and significant interaction between race and treatment: while Caucasians had significantly improved RFS with the addition of rituximab, there was no effect on RFS in African Americans. Further investigation is warranted to determine the mechanisms of this difference in the response to rituximab in relapsed iTTP to improve outcomes in African Americans. Figure Disclosures Marshall: Sanofi: Membership on an entity's Board of Directors or advisory committees. Farland:Sanofi: Membership on an entity's Board of Directors or advisory committees. Metjian:Sanofi: Membership on an entity's Board of Directors or advisory committees. Raval:Bayer, Inc: Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees. Liles:Imara: Other: PI on Clinical trial- Sickle cell ; Shire: Other: PI on clinical trial Sickle cell ; Novartis: Other: PI on clinical trial Sickle cell . Baumann Kreuziger:CSL Behring: Consultancy; Vaccine Injury Compensation Program: Consultancy. McCrae:Rigel Pharmaceutical: Membership on an entity's Board of Directors or advisory committees; Sanofi Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Dova Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Pfizer Pharmaceutical: Membership on an entity's Board of Directors or advisory committees. Chaturvedi:Shire/Takeda: Research Funding; Sanofi: Consultancy; Alexion: Consultancy. Zheng:Clotsolution: Other: Co-Founder; Shire/Takeda: Research Funding; Ablynx/Sanofi: Consultancy, Speakers Bureau; Alexion: Speakers Bureau. Cataland:Ablynx/Sanofi: Consultancy, Research Funding; Alexion: Consultancy, Research Funding. Off Label Disclosure: rituximab for immunosuppression in TTP.

Abstract Background: Results from epidemiologic studies examining polyunsaturated fatty acids (PUFA) and colorectal cancer risk are inconsistent. Mendelian randomization may strengthen causal inference from observational studies. Given their shared metabolic pathway, examining the combined effects of aspirin/NSAID use with PUFAs could help elucidate an association between PUFAs and colorectal cancer risk. Methods: Information was leveraged from genome-wide association studies (GWAS) regarding PUFA-associated SNPs to create weighted genetic scores (wGS) representing genetically predicted circulating blood PUFAs for 11,016 non-Hispanic white colorectal cancer cases and 13,732 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Associations per SD increase in the wGS were estimated using unconditional logistic regression. Interactions between PUFA wGSs and aspirin/NSAID use on colorectal cancer risk were also examined. Results: Modest colorectal cancer risk reductions were observed per SD increase in circulating linoleic acid [ORLA = 0.96; 95% confidence interval (CI) = 0.93–0.98; P = 5.2 × 10−4] and α-linolenic acid (ORALA = 0.95; 95% CI = 0.92–0.97; P = 5.4 × 10−5), whereas modest increased risks were observed for arachidonic (ORAA = 1.06; 95% CI = 1.03–1.08; P = 3.3 × 10−5), eicosapentaenoic (OREPA = 1.04; 95% CI = 1.01–1.07; P = 2.5 × 10−3), and docosapentaenoic acids (ORDPA = 1.03; 95% CI = 1.01–1.06; P = 1.2 × 10−2). Each of these effects was stronger among aspirin/NSAID nonusers in the stratified analyses. Conclusions: Our study suggests that higher circulating shorter-chain PUFAs (i.e., LA and ALA) were associated with reduced colorectal cancer risk, whereas longer-chain PUFAs (i.e., AA, EPA, and DPA) were associated with an increased colorectal cancer risk. Impact: The interaction of PUFAs with aspirin/NSAID use indicates a shared colorectal cancer inflammatory pathway. Future research should continue to improve PUFA genetic instruments to elucidate the independent effects of PUFAs on colorectal cancer.

APOE4 exacerbates α-synuclein pathology in a synucleinopathy mouse model, and APOE4 genotype associates with increased α-synuclein pathology in humans.

RXRA is an endothelial- and early stage–predominant therapeutic target for treating anthracycline-induced cardiotoxicity.

AbstractThe use of surface‐enhanced Raman spectroscopy (SERS) to determine spectral markers for the diagnosis of heparin‐induced thrombocytopenia (HIT), a difficult‐to‐diagnose immune‐related complication that often leads to limb ischemia and thromboembolism, is proposed. The ability to produce distinct molecular signatures without the addition of labels enables unbiased inquiry and makes SERS an attractive complementary diagnostic tool. A capillary‐tube‐derived SERS platform offers ultrasensitive, label‐free measurement as well as efficient handling of blood serum samples. This shows excellent reproducibility, long‐term stability and provides an alternative diagnostic rubric for the determination of HIT by leveraging machine‐learning‐based classification of the spectroscopic data. We envision that a portable Raman instrument could be combined with the capillary‐tube‐based SERS analytical tool for diagnosis of HIT in the clinical laboratory, without perturbing the existing diagnostic workflow.

AbstractThe use of surface‐enhanced Raman spectroscopy (SERS) to determine spectral markers for the diagnosis of heparin‐induced thrombocytopenia (HIT), a difficult‐to‐diagnose immune‐related complication that often leads to limb ischemia and thromboembolism, is proposed. The ability to produce distinct molecular signatures without the addition of labels enables unbiased inquiry and makes SERS an attractive complementary diagnostic tool. A capillary‐tube‐derived SERS platform offers ultrasensitive, label‐free measurement as well as efficient handling of blood serum samples. This shows excellent reproducibility, long‐term stability and provides an alternative diagnostic rubric for the determination of HIT by leveraging machine‐learning‐based classification of the spectroscopic data. We envision that a portable Raman instrument could be combined with the capillary‐tube‐based SERS analytical tool for diagnosis of HIT in the clinical laboratory, without perturbing the existing diagnostic workflow.

Abstract Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We 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. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P &lt; 1 × 10−6; however, 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. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P &lt; .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with 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). Our study shows that common genetic variation contributes to MM risk in individuals with AA.