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Shared genetic risk between eating disorder‐ and substance‐use‐related phenotypes: Evidence from genome‐wide association studies
Munn‐Chernoff, Melissa A. , Chou, Yi‐Ling, Coleman, Jonathan R. I. , Thornton, Laura M. , Walters, Raymond K. , Yılmaz, Zeynep , Baker, Jessica H. , Hübel, Christopher , Medland, Sarah E. , Hinney, Anke , Leppä, Virpi , Mattheisen, Manuel , Ripke, Stephan , Yao, Shuyang , Giusti‐Rodríguez, Paola , Hanscombe, Ken B. , Adan, Roger A.H. , Ando, Tetsuya , Berrettini, Wade H., Boehm, Ilka , Boni, Claudette, Perica, Vesna Boraska , Buehren, Katharina, Burghardt, Roland , Cassina, Matteo , Cichon, Sven , Clementi, Maurizio , Courtet, Philippe, Crowley, James J. , Danner, Unna N. , Davis, Oliver S. P. , Zwaan, Martina de, Degortes, Daniela, DeSocio, Janiece E., Dick, Danielle M., Dikeos, Dimitris, Dina, Christian , Dmitrzak‐Węglarz, Monika , Docampo, Elisa, Duncan, Laramie E. , Egberts, Karin , Ehrlich, Stefan , Escaramís, Geòrgia, Estivill, Xavier , Farmer, Anne, Favaro, Angela , Fernández‐Aranda, Fernando , Fichter, Manfred M., Fischer, Krista , Föcker, Manuel , Foretová, Lenka , Forstner, Andreas J. , Franklin, Christopher S., Gallinger, Steven , Giegling, Ina , Giuranna, Johanna, Gonidakis, Fragiskos , Gorwood, Philip , Mayora, Monica Gratacos, Guo, Yiran , Håkonarson, Håkon , Hatzikotoulas, Konstantinos , Hebebrand, Johannes , Helder, Sietske G., Herpertz‐Dahlmann, Beate, Herzog, Wolfgang , Huckins, Laura M. , Hudson, James I. , Imgart, Hartmut , Inoko, Hidetoshi , Janout, Vladimí­r , Jiménez‐Múrcia, Susana , Kalsi, Gursharan , Kaminská, Deborah , Karwautz, Andreas , Kas, Martien J. , Keski‐Rahkonen, Anna , Kiezebrink, Kirsty , Kim, Youl‐Ri , Klump, Kelly L. , Knudsen, Gun Peggy , Via, Maria C. La, Hellard, Stéphanie Le , Levitan, Robert D., Lilenfeld, Lisa , Lin, Bochao , Lissowska, Jolanta , Luykx, Jurjen J. , Magistretti, Pierre J. , Maj, Mario , Männik, Katrin , Marsal, Sara , Marshall, Christian R. , McDevitt, Sara , McGuffin, Peter, Meulenbelt, Ingrid, Navratilova, Marie, Ντάλλα, Ιωάννα , O’Toole, Julie K., Padyukov, Leonid , Palotie, Aarno , Pantel, Jacques , Papežová, Hana , Pinto, Dalila , Rabionet, Raquel , Raevuori, Anu , Ramoz, Nicolás , Reichborn‐Kjennerud, Ted , Ricca, Valdo , Ritschel, Franziska , Roberts, Marion, Rotondo, Alessandro, Rujescu, Dan, Rybakowski, Filip , Scherer, Stephen W. , Schmidt, Ulrike , Schork, Nicholas J. , Schosser, Alexandra , Šlachtová, Lenka , Landt, M , Slopien, Agnieszka, Sorbi, Sandro , Świątkowska, Beata , Szatkiewicz, Jin P., Tachmazidou, Ioanna, Tenconi, Elena, Tortorella, Alfonso , Tozzi, Federica, Treasure, Janet , Tziouvas, Konstantinos , Elburg, Annemarie , Furth, Eric F. van , Wagner, Gudrun , Walton, Esther , Widén, Elisabeth , Zerwas, Stephanie , Zipfel, Stephan, Bergen, Andrew W. , Brandt, Harry, Crawford, Steven , Halmi, Katherine A. , Johnson, Craig, Kaplan, Allan S. , Kaye, Walter H. , Mitchell, James E. , Olsen, Catherine M. , Pedersen, Nancy L. , Strober, Michael, Whiteman, David C. , Woodside, D. Blake , Grove, Jakob , Henders, Anjali K. , Larsen, Janne Tidselbak , Petersen, Liselotte , Jordan, Jennifer , Kennedy, Martin A. , Birgegård, Andreas , Landén, Mikael , Polimanti, Renato , McClintick, Jeanette N. , Adkins, Amy , Alıev, Fazil , Bacanu, Silviu‐Alin , Batzler, Anthony , Bertelsen, Sarah , Chen, Li‐Shiun , Degenhardt, Franziska , Docherty, Anna R. , Edwards, Alexis C. , Foo, Jerome C. , Fox, Louis , Frank, Josef , Hack, Laura M. , Hartmann, Annette M. , Hartz, Sarah M. , Hodgkinson, Colin A. , Hottenga, Jouke‐Jan, Konte, Bettina , Lahti, Jari , Lahti‐Pulkkinen, Marius , Ligthart, Lannie , Loukola, Anu , Maher, Brion S. , Mbarek, Hamdi , McIntosh, Andrew M. , McQueen, Matthew B. , Meyers, Jacquelyn L. , Milaneschi, Yuri , Palviainen, Teemu , Ryu, Euijung , Saccone, Nancy L. , Salvatore, Jessica E. , Streit, Fabian , Wang, Jen‐Chyong , Webb, Bradley T. , Wetherill, Leah , Wills, Amanda G. , Zhou, Hang , Boardman, Jason D., Chen, Danfeng , Copeland, William , Culverhouse, Robert , Dahmen, Norbert, Domingue, Benjamin W. , Frye, Mark A. , Gäebel, Wolfgang , Ising, Marcus, Keyes, Margaret A., Kiefer, Falk , Koller, Gabriele , Kuperman, Samuel , Lucae, Susanne , Lynskey, Michael T. , Maier, Wolfgang , Müller‐Myhsok, Bertram , Preuss, Ulrich W. , Räikkönen, Katri , Reynolds, Maureen , Ridinger, Monika , Schuckit, Marc A. , Soyka, Michael , Wodarz, Norbert , Zill, Peter , Adkins, Daniel E. , Bucholz, Kathleen K. , Diazgranados, Nancy , Goate, Alison , Goldman, David , Hancock, Dana B. , Hewitt, John K. , Johnson, Eric O. , Krauter, Kenneth , Lind, Penelope A. , McGue, Matt , MacKillop, James , Madden, Pamela A. F. , Maes, Hermine H. , Magnusson, Patrik K. E. , Nelson, Elliot C. , Nöthen, Markus M. , Penninx, Brenda W.J.H. , Porjesz, Bernice , Rice, John P. , Rose, Richard J. , Shen, Pei‐Hong , Silberg, Judy L. , Tarter, Ralph E. , Vrieze, Scott , Zhao, Hongyu , Neale, Benjamin M. , Wade, Tracey , Sullivan, Patrick F., Kaprio, Jaakko , Breen, Gerome , Hottenga, Jouke‐Jan , Hakonarson, Hakon , Lissowska, Jolanta , Kennedy, Martin A , Ehrlich, Stefan , Hottenga, Jouke-Jan , Walton, Esther , Cichon, Sven , Luykx, Jurjen J , Nöthen, Markus M , Le Hellard, Stephanie , Penninx, Brenda W J H , Medland, Sarah E , Rabionet, Raquel , Estivil, Xavier , Padyukov, Leonid , Świątkowska, Beata , Dina, Christian , Palotie, Aarno V. , Ripke, Stephan , Whiteman, David C , Scherer, Stephen W , Tortorella, Alfonso , Streit, Fabian , Egberts, Karin , Goate, Alison M , Docherty, Anna R , Johnson, Eric O , Coleman, Jonathan Ri , Johnson, Emma C. , Gordon, Scott D. , Watson, Hunna J. , Gaspar, Héléna A. , Bryois, Julien , Alfredsson, Lars , Andreassen, Ole A. , Boehm, Ilka , Cone, Roger D. , Courtet, Philippe , Crow, Scott J. , Dedoussis, George , Dick, Danielle M. , Dikeos, Dimitris , Escaramís, Geòrgia , Esko, Tõnu , Forzan, Monica , Guillaume, Sébastien , Hauser, Joanna , Herms, Stefan , Herpertz-Dahlmann, Beate , Julià, Antonio , Karhunen, Leila J. , Kennedy, James L. , Li, Dong , Mattingsdal, Morten , Metspalu, Andres , Micali, Nadia , Mitchell, Karen S. , Monteleone, Alessio Maria , Monteleone, Palmiero , Nacmias, Benedetta , Ophoff, Roel A. , Ripatti, Samuli , Roberts, Marion , Santonastaso, Paolo , Scherag, André , Seitz, Jochen , Slagboom, P. Eline , Tenconi, Elena , Τσίτσικα, Άρτεμις , Tyszkiewicz‐Nwafor, Marta , Zeggini, Eleftheria , Boden, Joseph M. , Horwood, L. John , Pearson, John F , Werge, Thomas Mears , Parker, Richard , Lichtenstein, Paul , Norring, Claes E. A. , Mortensen, Preben Bo , Biernacka, Joanna M. , Bigdeli, Tim B. , Clarke, Toni‐Kim , Heilmann‐Heimbach, Stefanie , Hoffmann, Per , Lai, Dongbing , Peterson, Roseann Elizabeth , Sanchez-Roige, Sandra , Schwandt, Melanie L. , Sherva, Richard , Strohmaier, Jana , Thomas, Nathaniel , Wedow, Robbee , Boardman, Jason D., Choi, Doo‐Sup , Degenhardt, Louisa J , Hayward, Caroline , Kramer, John R. , Mann, Karl F , Männistö, Satu , Murray, Alison D. , Nurnberger, John I , Scherbaum, Norbert , Treutlein, Jens , Witt, Stephanie H. , Boomsma, Dorret I , Bierut, Laura Jean , Brown, Sandra A. , Costello, E. Jane , Wit, Harriet de , Eriksson, Johan G. , Farrer, Lindsay A. , Foroud, Tatiana , Gillespie, Nathan A. , Grucza, Richard A. , Harris, Kathleen Mullan , HESSELBROCK, VICTOR M. , Hopfer, Christian Jean , Iacono, William G. , Karpyak, Victor M. , Kendler, Kenneth S. , Kranzler, Henry R. , Palmer, Abraham A. , Rietschel, Marcella , Riley, Brien P. , Stallings, Michael C. , Vanyukov, Michael M. , Wall, Tamara L. , Whitfield, John B. , Heath, Andrew C. , Montgomery, Grant W. , Martin, Nicholas G. , Gelernter, Joel E. , Edenberg, Howard J , Bulik, Cynthia Marie , Agrawal, Arpana , Webb, Bradley T.

Addiction Biology | February 17, 2020 | Volume: 26 | Issue: 1 | Pages: No page available

10.1111/adb.12880 | PMID 32064741 Get It

Abstract Eating disorders and substance use disorders frequently co‐occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [ r g ], twin‐based = 0.23‐0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome‐wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance‐use‐related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism‐based genetic correlations between eating disorder‐ and substance‐use‐related phenotypes. Significant positive genetic associations emerged between AUD and AN ( r g = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN ( r g = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating ( r g = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating ( r gs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co‐varying for major depressive disorder loci. The patterns of association between eating disorder‐ and substance‐use‐related phenotypes highlights the potentially complex and substance‐specific relationships among these behaviors.
Dynamic Assembly of a Feedback Complex to Regulate Oncogenic B-Cell Receptor-Signaling
Chen, Zhengshan , Chan, Lai N. , Klemm, Lars, Chan, Wing C. , Forman, Stephen J. , Berkel, Patrick van, Geng, Huimin , Luger, Selina M. , Litzow, Mark, Vaidehi, Nagarajan , Paietta, Elisabeth , Meffre, Eric , Weinstock, David M. , Müschen, Markus , Lee, Jae Woong , Kume, Kohei , Xiao, Gang , Cosgun, Kadriye Nehir , Chen, Liting , Chen, Chun‐Wei , Ma, Ning , Zammarchi, Francesca , Melnick, Ari , Ngo, Vu N. , McManus, Michael T.

Blood | February 14, 2020 | Volume: 134 | Issue: Supplement_1 | Pages: 393-393

10.1182/blood-2019-131270 Get It

Background: Studying gene expression and clinical outcome data from 136 clinical trials for patients with cancer (~21,000 patients with 26 cancer types), we found CD25 as one of the strongest predictors of poor clinical outcome in patients with B-cell malignancies, but not in other cancer types. This was unexpected because CD25 is known as one of three chains of the IL2 receptor on T-cells and NK-cells. Interleukin-2 (IL2) functions as essential T-cell growth factor. IL2 signals through b- and g-, but not a-chains (CD25) of its heterotrimeric receptor. CD25-deficiency causes lymphoproliferation and autoimmunity, however, its mechanistic role is unclear. Results: Our experiments based on genetic mouse models and engineered patient-derived B-cell leukemia and lymphoma xenografts revealed that CD25 expressed on B-cells is not an IL2 receptor chain, but in fact binds downstream signaling molecules of the B-cell receptor (BCR). Through these interactions, CD25 mediates negative feedback to BCR signaling in response to antigen-encounter in normal B-cells. Defects in CD25-/-B-cells were not replicated in mice that express CD25 but lack expression of the IL2 cytokine. These findings demonstrate IL2-independent functions of CD25 in B-cells and B-cell derived leukemia and lymphoma. To comprehensively study the interactome of the short cytoplasmic tail of CD25, we performed proximity-dependent biotin identification (BioID). This analysis revealed that the CD25 tail exerts negative feedback control through recruitment of the PKCβ-scaffold RACK1 and the inhibitory phosphatase SHIP1 (see schematic, left). Interestingly, the cytoplasmic tail of CD25 harbors a PKCβ-substrate motif and mutation of a central serine residue (S268) to A268 compromised interactions with PKCβ, its scaffold RACK1 and SHIP1, demonstrating that feedback control was dependent on PKCβ-mediated phosphorylation of CD25-S268. A genetic observation in a family with monogenic autoimmunity confirmed the functional importance of the cytoplasmic CD25-tail motif: a mutation immediately preceding S268 compromised CD25-surface translocation, which was restored by homology-directed repair of the S268. In vitro kinase assay with 62 candidate kinases against recombinant cytoplasmic tail of CD25-S268 or -A268 identified PKCβ as top-ranking kinase hit for CD25-S268 but not CD25-A268. Our genetic studies revealed that PKCβ is required for cell-membrane translocation of CD25, but also transcriptional expression of CD25 via NF-κB activation. Therefore, PKCβ act as critical effector molecule downstream of CD25 to mediate B-cell selection during normal B-cell development and calibrate oncogenic BCR signaling in B-cell tumors. In B-cell malignancies, BCR-dependent survival and proliferation signals are often substituted by oncogenic BCR-mimics (e.g. BCR-ABL1, JAK2, BRAFV600E, LMP2A, CD79B mutations; see schematic, right). Accordingly, we identified CD25 surface-expression as biomarker of oncogenic BCR-signaling and predictor of poor clinical outcomes. CD25-/-B-cell leukemia failed to initiate fatal disease in transplant recipients. Owing to imbalances of oncogenic BCR-signaling and p53-checkpoint activation, CD25-/- B-cell leukemia failed to initiate fatal disease in transplant recipients. In patient-derived xenograft models of drug-resistant B-cell malignancies, treatment with a CD25-specific antibody drug-conjugate (ADCT-301) extended survival of transplant recipients or eradicated disease. These findings identified CD25 as previously unrecognized feedback regulator of oncogenic BCR-signaling and provide a rationale for therapeutic targeting of CD25 in refractory B-cell malignancies. Figure Disclosures Zammarchi: ADC Therapeutics: Employment. Van Berkel:ADC Therapeutics: Research Funding. Melnick:Constellation: Consultancy; Janssen: Research Funding; Epizyme: Consultancy. Luger:Celgene: Research Funding; Cyslacel: Research Funding; Pfizer: Honoraria; Seattle Genetics: Research Funding; Agios: Honoraria; Ariad: Research Funding; Biosight: Research Funding; Kura: Research Funding; Onconova: Research Funding; Genetech: Research Funding; Jazz: Honoraria; Daichi Sankyo: Honoraria. Meffre:AbbVie: Consultancy, Other: Grant. Weinstock:Celgene: Research Funding.
Protein Purification: Principles, High Resolution Methods, and Applications. Jan-Christer Janson, Lars Ryder, eds. New York: VCH Publishers, 1989, 512 pp, $65 in U.S. ISBN 0-89573-122-3
Landers, Jane, Madden, Benjamin J.

Clinical Chemistry | January 13, 2020 | Volume: 38 | Issue: 3 | Pages: 447-447

10.1093/clinchem/38.3.447 Get It

Interdependence of Atrial Fibrillation and Heart Failure With a Preserved Ejection Fraction Reflects a Common Underlying Atrial and Ventricular Myopathy
Lund, Lars H. , Redfield, Margaret M. , Packer, Milton , Lam, Carolyn S.P.

Circulation | December 30, 2019 | Volume: 141 | Issue: 1 | Pages: 4-6

10.1161/circulationaha.119.042996 | PMID 31887078 Get It

Atrial Fibrillation: Should Lifelong Athletes Be Worried?
Drum, Scott N. , Donath, Lars , Dehlin, Chris, Kashou, Anthony H. , Noseworthy, Peter A. , Zacher, Jonas

Strength & Conditioning Journal | November 25, 2019 | Volume: 42 | Issue: 2 | Pages: 122-130

10.1519/ssc.0000000000000515 Get It

ABSTRACT Atrial fibrillation (AF) in lifetime athletes (e.g., ≥5 years of participation) is a growing concern but remains enigmatic. Intriguingly, a direct relationship between lifetime training hours and risk of developing AF exists. Professionals in exercise and sport science are at the forefront to help recognize symptoms and direct the athlete to appropriate medical clinicians for expedient care. Although AF in athletes is usually not accompanied by structural heart disease or stroke risk factors (i.e., termed lone AF), it may, nonetheless, pose health risks. In this study, we review various types of AF, proposed mechanisms, and treatment strategies for athletes with AF.
Patients With Atrial Fibrillation Taking Nonsteroidal Anti-Inflammatory Drugs and Oral Anticoagulants in the ARISTOTLE Trial
Dalgaard, Frederik , Mulder, Hillary, Wojdyla, Daniel , Alexander, John H. , Caterina, Raffaele De , Washam, Jeffrey B. , García, David , Wallentin, Lars , Granger, Christopher B. , Mulder, Hillary , Granger, Christopher B , Mulder, Hillary , Lópes, Renato D. , Held, Claes , Hylek, Elaine M. , Gersh, Bernard J. , Al‐Khatib, Sana M.

Circulation | November 21, 2019 | Volume: 141 | Issue: 1 | Pages: 10-20

10.1161/circulationaha.119.041296 | PMID 31747786 Get It

Background: The use of nonsteroidal anti-inflammatory drugs (NSAIDs) with oral anticoagulants has been associated with an increased risk of bleeding. We investigated the risk of bleeding and major cardiovascular outcomes in patients with atrial fibrillation taking NSAIDs and apixaban or warfarin. Methods: The ARISTOTLE trial (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation; n=18 201) compared apixaban with warfarin in patients with atrial fibrillation at an increased risk of stroke. Patients in ARISTOTLE without severe renal (creatine clearance ≤30 mL/min) or liver disease were included in this analysis (n=17 423). NSAID use at baseline, NSAID use during the trial (incident NSAID use), and never users were described. The primary outcome was major bleeding. Secondary outcomes included clinically relevant nonmajor bleeding, gastrointestinal bleeding, heart failure hospitalization, stroke or systemic embolism, and all-cause mortality. NSAID use during the trial, and the interaction between randomized treatment, was analyzed using time-dependent Cox proportional hazards models. Results: Those with baseline NSAID use (n=832 [4.8%]), incident NSAID use (n=2185 [13.2%]), and never users were similar in median age (age [25th, 75th]; 70 [64, 77] versus 70 [63, 75] versus 70 [62, 76]). Those with NSAID use at baseline and incident NSAID use were more likely to have a history of bleeding than never users (24.5% versus 21.0% versus 15.6%, respectively). During a median follow-up (25th, 75th) of 1.8 (1.4, 2.3) years and when excluding those taking NSAID at baseline, we found that incident NSAID use was associated with an increased risk of major bleeding (hazard ratio [HR], 1.61 [95% CI, 1.11–2.33]) and clinically relevant nonmajor bleeding (HR, 1.70 [95% CI, 1.16–2.48]), but not gastrointestinal bleeding. No significant interaction was observed between NSAID use and randomized treatment for any outcome. Conclusions: A substantial number of patients in the ARISTOTLE trial took NSAIDs. Incident NSAID use was associated with major and clinically relevant nonmajor bleeding, but not with gastrointestinal bleeding. The safety and efficacy of apixaban versus warfarin appeared not significantly to be altered by NSAID use. This study warrants more investigation of the effect of NSAIDs on the outcomes of patients treated with apixaban. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT00412984.
A Meta-Analysis Of Hodgkin Lymphoma Reveals 19p13.3 (TCF3) As a Novel Susceptibility Loc
Hazelett, Dennis J. , Delahaye-Sourdeix, Manon, Edlund, Christopher K., Berg, David J. Van Den, Smedby, Karin E. , Glaser, Sally L. , Westra, Harm-Jam, Mack, Thomas M. , Ghesquières, Hervé , Hwang, Amie E. , Nieters, Alexandra, Sanjosé, Sílvia de, Lightfoot, Tracy, Becker, Nikolaus, Benavente, Yolanda , Nathwani, Bharat N., Glimelius, Bengt , Staines, Anthony , Ansell, Stephen M. , Strong, Louise C. , Vatten, Lars J. , Lake, Annette, Veenstra, Rianne, Visser, Lydia , Urayama, Kevin Y. , Montgomery, Dorothy, Gaborieau, Valérie , Weiss, Lawrence M. , Lathrop, Mark , Adami, Hans‐Olov , Gallagher, Alice, Taylor, G M, Brennan, Paul , Conti, David V. , Onel, Kenan , Hjalgrim, Henrik , Berg, Anke van den , McKay, James , Li, Debiao , Hazelett, Dennis J , Conti, David V , Li, Debiao , Cozen, Wendy , Li, Dalin , Timofeeva, Maria , Diepstra, Arjan , Rostgaard, Klaus , Franke, Lude , Robison, Leslie L. , Cortessis, Victoria K. , Maynadié, Marc , Foretová, Lenka , Roman, Eve , Boffetta, Paolo , Link, Brian K. , Kiemeney, Lambertus A. , Bhatia, Ravi , Galán, Pilar , Habermann, Thomas M. , Duell, Eric J. , Byrnes, Graham , Melbye, Mads , Cerhan, James R. , Slager, Susan L. , Coetzee, Gerhard A. , Jarrett, Ruth F.

Blood | November 17, 2019 | Volume: 122 | Issue: 21 | Pages: 626-626

10.1182/blood.v122.21.626.626 Get It

Abstract Background Recent genome wide association studies (GWAS) of Hodgkin lymphoma (HL) have identified several associations at both HLA and non-HLA loci. However, much of HL heritability remains unexplained. Methods To identify novel risk loci, we performed a meta-analysis of 3 HL GWAS including a total of 1,810 cases and 7,879 controls. Results were replicated in an independent set of 1,163 cases and 2,580 controls, for a total of 3,097 and 11,097 cases and controls combined, respectively. participants in discovery and replication stages were of European descent. quality control and imputation we conducted a meta-analysis addressing 1,004,829 variants (λ= 1.10, λ1000= 1.03). Associations between SNP genotypes and HL risk were evaluated under a log-additive model of inheritance adjusting for sex, study center and significant principal components to control for population stratification. We performed an analysis with all HL cases and then conducted stratified analyses by histological subtype (classical, nodular sclerosis and mixed cellularity), age at diagnosis (nodular sclerosis among those diagnosed at 15- 35 years in all studies, and those diagnosed at 35 and older years in the European Study only) and EBV tumor status (negative and positive). We then used a bioinformatic approach (FunciSNP) to identify potential functional variants associated with HD risk correlated with risk loci of interest. We extracted publically available ENCODE data on biofeatures to identify potential functional motifs associated with the index SNP or correlated SNPs. Finally, we measured expression levels of the two alternative mRNA transcripts in lymphoblastoid cell lines (LCLs) from 49 post-therapy HL patients and 25 unaffected controls. RT-PCR was carried out in triplicate. Relative expression levels were calculated relative to TBP as housekeeping gene. Linear models were used to assess correlation between genotype and TCF3expression levels. Results The meta-analysis identified a novel susceptibility variant at chromosome 19p13.3 (rs1860661) associated with HL risk (Odds Ratio [OR]= 0.78, P=2.0*10-8, I2=0%). variant is located in intron 2 of TCF3 (also known as E2A), a regulator of B- and T-cell lineage commitment. was also significantly associated with HL (OR= 0.85, P=0.002) in the replication series of 1,281 cases and 3,218 controls. the combined analysis consisting of the discovery and replication sets, rs1860661was strongly associated with HL (OR=0.81,=3.5*10-10), with no evidence of heterogeneity between contributing studies (Phom=0.41, I2=0%). The number of G alleles defined by rs1860661 was significantly associated with a reduced risk of each HL subtype except EBV positive HL. rs1860661 and two correlated SNPs, rs10413888 (r2=0.90) and rs8103453 (r2=0.89) identified by FunciSNP analysis map in or near marks of open chromatin and in DNAse hypersensitivity sites in TCF3 in CD20+ B cell lines., the protective minor alleles of these SNPs as defined by the G-G-G haplotype map to the binding sites for ZBTB7a (rs10413888 and rs1860661) and (rs8103453) transcription factors, likely improving the binding efficiency to the sites which may result in increased transcription rates of TCF3. TCF3 is encoded by two alternative transcripts (E12 and E47). Higher expression levels of TCF3-E47, whose transcription start site is located close to rs1860661, was associated with the rs1860661-G allele in controls (P=0.02), but not in HL patients (P=0.22). Conclusion/Discussion TCF3 is essential for the commitment of lymphoid progenitors to both B-cell and T-cell lineage development. A molecular and phenotypic hallmark of classical HL is the loss of the B-cell phenotype in HRS cells, including lack of demonstrable B-cell receptor and most B-cell specific markers such as CD19 or CD20. HRS cells have a low level of TCF3, particularly homodimers of the isoform E47, due to expression of the ABF-1 and ID2 inhibitors that bind to TCF3. Thus, higher TCF3 levels in HRS precursor cells may lead to enhanced retention of the B cell phenotype, thereby conferring a protective effect. These data suggest a link between the 19p13.3 locus including TCF3 and HL risk, indicating that TCF3 could be relevant to HL etiology and pathogenesis. Disclosures: Link: Genentech: Consultancy; Millenium: Consultancy; Pharmacyclics: Consultancy; Spectrum: Consultancy.
Model system identification of novel congenital heart disease gene candidates: focus on RPL13
Schroeder, Analyne , Allahyari, Massoud, Vogler, Georg , Missinato, Maria A , Nielsen, Tanja , Yu, Michael S. , Theis, Jeanne L. , Larsen, Lars Allan , Goyal, Preeya , Nelson, Timothy J., Olson, Timothy M. , Colas, Alexandre R. , Grossfeld, Paul , Bodmer, Rolf , Theis, Jeanne L , Missinato, Maria A , Olson, Timothy M , Vogler, Georg , Rosenfeld, Jill A. , Nelson, Timothy J.

Human Molecular Genetics | October 18, 2019 | Volume: 28 | Issue: 23 | Pages: 3954-3969

10.1093/hmg/ddz213 | PMID 31625562 Get It

AbstractGenetics is a significant factor contributing to congenital heart disease (CHD), but our understanding of the genetic players and networks involved in CHD pathogenesis is limited. Here, we searched for de novo copy number variations (CNVs) in a cohort of 167 CHD patients to identify DNA segments containing potential pathogenic genes. Our search focused on new candidate disease genes within 19 deleted de novo CNVs, which did not cover known CHD genes. For this study, we developed an integrated high-throughput phenotypical platform to probe for defects in cardiogenesis and cardiac output in human induced pluripotent stem cell (iPSC)-derived multipotent cardiac progenitor (MCPs) cells and, in parallel, in the Drosophila in vivo heart model. Notably, knockdown (KD) in MCPs of RPL13, a ribosomal gene and SON, an RNA splicing cofactor, reduced proliferation and differentiation of cardiomyocytes, while increasing fibroblasts. In the fly, heart-specific RpL13 KD, predominantly at embryonic stages, resulted in a striking ‘no heart’ phenotype. KD of Son and Pdss2, among others, caused structural and functional defects, including reduced or abolished contractility, respectively. In summary, using a combination of human genetics and cardiac model systems, we identified new genes as candidates for causing human CHD, with particular emphasis on ribosomal genes, such as RPL13. This powerful, novel approach of combining cardiac phenotyping in human MCPs and in the in vivo Drosophila heart at high throughput will allow for testing large numbers of CHD candidates, based on patient genomic data, and for building upon existing genetic networks involved in heart development and disease.
Axl-RTK Inhibition Modulates T Cell Functions and Synergizes with Chimeric Antigen Receptor T Cell Therapy in B Cell Malignancies
Yang, Nan , Hansen, Michael J. , Schick, Kendall J. , Forsman, Cynthia L. , Boysen, Justin C. , Tschumper, Renee C. , Diaz, Elizabeth Juarez , Mouritsen, Lars , Warner, Steven L. , Sakemura, Reona , Cox, Michelle J. , Sinha, Sutapa , Hefazi, Mehrdad , Foulks, Jason M , Parikh, Sameer A. , Ding, Wei , Kay, Neil E. , Kenderian, Saad S.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 728-728

10.1182/blood-2018-99-112209 Get It

Abstract Despite the remarkable outcomes and recent FDA approval of CD19 directed chimeric antigen receptor T (CART19) cell therapy in B cell malignancies, the durable responses in diffuse large B cell lymphoma are less than 40% and CART activity in chronic lymphocytic leukemia (CLL) is further limited. This is thought to be related to loss of CART persistence, poor trafficking to lymph nodes and inhibition by the leukemic microenvironment. Therefore, strategies to enhance CART cell function to overcome these limitations are needed. Recent studies have shown that abnormal expression of the receptor tyrosine kinase (RTK) AXL is associated with poor prognosis in human cancers. AXL signaling is associated with tumor proliferation, survival, metastasis, and drug resistance. Inhibition of AXL RTK with TP-0903, a high affinity AXL inhibitor has been found to induce robust apoptosis of CLL B cells. Based on the significant modulation of T cell functions observed with BTK inhibitor, we examined the role of AXL RTK inhibition with TP-0903 on T cell function in CLL and other B cell malignancies. First, we investigated the effect of AXL inhibition on T cell phenotype in normal donors. When naïve T cells were stimulated with PMA/Ionomycin and cultured with low dose TP0903, cytokine production was favorably altered through the promotion of Th1 and reduction of Th2 cytokines. This was associated with a significant reduction of inhibitory receptors (Fig 1a). Western blot of T cell lysates suggests low dose TP-0903 results in inhibition of LCK. When effector T cells and regulatory T cells (Treg) were treated with TP-0903 for 3 days, there was a preferential reduction of Treg (Fig 1b). Next, we investigated the influence of TP-0903 on CART19 cell phenotype and functions. Here, we used 41BB costimulated, lentiviral-transduced CART cells. Similar to our findings on naïve T cells, TP-0903 treatment led to polarization of CART cells into a Th1 phenotype when T cells were stimulated with the CD19+ mantle cell lymphoma (MCL) cell line JeKo or with leukemic B cells isolated from CLL patients (Fig 1c). TP-0903 treatment also significantly downregulated inhibitory receptors on activated CART cells, including a reduction of canonical cytokines known to be associated with the development of cytokine release syndrome (CRS) (Fig 1c). The combination of CART19 cells and TP-0903 yielded a synergistic antitumor activity against JeKo in vitro, at low E:T ratios (Fig 1d). Western blot of T cell lysates revealed phosphorylation of LCK was remarkably reduced in the presence of TP-0903, suggesting a mechanism for the observed Th1 polarization. We compared the transcriptome of activated CART cells treated with TP-0903 and more than 100 genes were differentially expressed compared to non-treated cells. Among these genes, immune synapse related genes such as cell junction and cell migration related genes were significantly increased in activated CART cells treated with TP-0903. To investigate the effect of AXL RTK inhibition of CART cells with TP-0903 in vivo, we established MCL xenografts through the injection of 1.0x106 of JeKo into NSG mice. A week after the injection of JeKo, mice were treated with either vehicle alone, TP-0903 (20mg/kg/day) alone, 0.5x106 of CART19 alone, or TP-0903 (20mg/kg/day)+0.5x106 of CART19. Three weeks after the treatment, mice were rechallenged with 1.0x106 of JeKo. Mice treated with CART19 and TP-0903 rejected the JeKo tumor challenge while mice previously treated with CART19 alone redeveloped JeKo, suggesting that AXL inhibition enhanced CART cell persistence (Fig 1e). Finally, we validated our preclinical findings in a correlative analyses of Phase I clinical trial of TP-0903 for patients with solid tumors (NCT02729298). Blood T cells from 3 patients were isolated and analyzed before and a week after treatment with TP-0903. Similar to our findings, there was a significant reduction in Tregs, reduction of inhibitory receptors and polarization to a Th1 phenotype. These findings will be further investigated in a planned Phase I clinical trial of TP-0903 in relapsed/refractory CLL (NCT03572634). In summary, we demonstrated for the first time that AXL inhibitior is capable of polarizing T cells into a Th1 phenotype, downregulates inhibitory receptors, reduces CRS associated cytokines and synergizes with CART cells in B cell malignancies. These findings encourage further study of TP-0903 as an enhancer of T cell immunotherapies. Disclosures Mouritsen: Tolero Pharmaceuticals: Employment. Foulks:Tolero Pharmaceuticals: Employment. Warner:Tolero Pharmaceuticals: Employment. Parikh:Janssen: Research Funding; Abbvie: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; MorphoSys: Research Funding; Pharmacyclics: Honoraria, Research Funding; Gilead: Honoraria. Ding:Merck: Research Funding. Kay:Gilead: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta: Research Funding; Agios Pharm: Membership on an entity's Board of Directors or advisory committees; Cytomx Therapeutics: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees. Kenderian:Tolero Pharmaceuticals: Research Funding; Humanigen: Research Funding; Novartis: Patents & Royalties.
Efficacy and Safety Of Pomalidomide Plus Low-Dose Dexamethasone In Advanced Multiple Myeloma: Results Of Randomized Phase 2 and 3 Trials (MM-002/MM-003)
Richardson, Paul G. , Chen, Christine I. , Song, Kevin , Vij, Ravi , Delforge, Michel, Karlin, Lionel, Goldschmidt, Hartmut , Banos, Anne , Garderet, Laurent , Ivanova, Valentina , Lacy, Martha Q. , Chen, Min , Casey, Philomena, Sternås, Lars, Zaki, Mohamed H. , Jacques, Christian , Siegel, David S. , Richardson, Paul Gerard Guy , Dimopoulos, Meletios Α. , Bahlis, Nizar Jacques , Baz, Rachid , Hofmeister, Craig C. , Weisel, Katja C , Jagannath, Sundar , Lonial, Sagar , Talpaz, Moshe , Moreau, Philippe , Miguel, Jesús F. San , Karlin, Lionel , Oriol, Albert , Alegre, Adrían , Cavo, Michèle , Martínez‐López, Joaquín , Anderson, Kenneth C.

Blood | October 14, 2019 | Volume: 122 | Issue: 21 | Pages: 3185-3185

10.1182/blood.v122.21.3185.3185 Get It

Abstract Introduction Few treatments options are available for patients (pts) with relapsed/refractory multiple myeloma (RRMM) who have previously been treated with lenalidomide (LEN) and bortezomib (BORT), and their prognosis is poor. Pomalidomide (POM) is a distinct IMiD® immunomodulatory agent with a mechanism of action consisting of direct anti-myeloma, stromal-support inhibitory, and immunomodulatory effects. In randomized phase 2 and 3 trials (MM-002 and MM-003), POM plus low-dose dexamethasone (POM+LoDEX) demonstrated marked efficacy in RRMM pts who had received multiple prior therapies, including LEN and BORT. This side-by-side analysis presents the most recent survival and safety data from these trials. Methods The MM-002 and MM-003 trials enrolled pts with ≥ 2 prior therapies, including LEN and BORT. In MM-002, pts received POM (4 mg/day on days 1–21 of each 28-day cycle) alone or in combination with LoDEX (40 mg/week). In MM-003, pts were randomized 2:1 to receive POM+LoDEX or high-dose DEX alone (HiDEX) (40 mg/days 1–4, 9–12, 17–20 in a 28-day cycle); HiDEX was chosen as the comparator to isolate the effects of POM, as at the time of trial design it was the standard salvage therapy for heavily pretreated pts. Thromboprophylaxis was required for all pts treated with POM and pts at high risk of developing venous thromboembolism. Data cutoff was February 1, 2013 for MM-002 and March 1, 2013 for MM-003. The primary endpoint in both trials was progression-free survival (PFS). Secondary endpoints included overall survival (OS), response rates, duration of response, and safety. Results In each study, pts had received a median of 5 prior therapies (range 1-17), and all pts had received prior LEN and BORT. In MM-002, 113 pts were treated with POM+LoDEX and 108 were treated with POM alone (60% of POM alone pts subsequently received DEX). A total of 79% of pts were LEN refractory; 62% were refractory to both LEN and BORT; and 35% had received LEN as their last prior therapy. With a median follow-up of 14.2 months (mos), median PFS was 4.2 mos, OS was 16.5 mos, and overall response rate (ORR, defined as at least a partial response) was 33% with POM+LoDEX (Table 1). In MM-003, 302 pts were treated with POM+LoDEX and 153 pts were treated with HiDEX (50% of HiDEX pts subsequently received POM). A total of 94% of pts were LEN refractory; 74% were both LEN and BORT refractory; and 29% had received LEN as their last prior therapy. Survival outcomes were similar in MM-003; with a median follow-up of 10 mos, median PFS was 4.0 mos, OS was 12.7 mos, and ORR was 31% with POM+LoDEX. In both trials, LEN as last prior therapy did not impact response, PFS, or OS vs the overall population. Commonly observed adverse events (AEs) are presented in Table 2 for pts treated with POM+LoDEX. Grade 3 and 4 neutropenia was 28% and 13% in MM-002, and 26% and 22% in MM-003 for the POM+LoDEX arms, respectively. AEs were generally manageable for POM+LoDEX in MM-002 and MM-003 with dose interruptions (67% for both) and reductions (29% and 26%, respectively), and standard supportive care, including growth factor support (46% and 43%), red blood cell transfusions (45% and 49%), platelet transfusions (14% and 20%), and anti-infective agents (89% in both trials). Rates of POM discontinuation due to treatment-related AEs were low (2–4% with POM+LoDEX). In MM-002 and MM-003, 49% and 51% of pts in the POM+LoDEX arms experienced neutropenia of any grade. With appropriate AE management, 9% and 23% had dose interruptions, 4% and 8% had dose reductions, and 1 pt in both MM-002 and MM-003 discontinued due to neutropenia. Febrile neutropenia developed in 3% and 10% of pts; 1% and 4% had dose interruptions, 0% and 2% had dose reductions, and no pts discontinued due to febrile neutropenia in the MM-002 and MM-003 studies, respectively. The majority of infections occurred in the absence of neutropenia of any grade (54% in MM-002 and 66% in MM-003). The rate of POM discontinuation due to infection was low (1% in MM-002 and 2% in MM-003). Conclusion In both the MM-002 and MM-003 trials, POM+LoDEX consistently extended PFS in advanced RRMM pts. PFS, OS, and ORR were not negatively impacted in patients who were refractory to LEN or BORT, even as last prior therapy. Both trials demonstrated that with dose modifications and supportive care POM was well tolerated, leading to few discontinuations. POM+LoDEX should be considered a standard of care for pts with advanced RRMM who have exhausted LEN and BORT. Disclosures: Siegel: Celgene Corporation: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Onyx: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Millennium: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau. Richardson:Millennium: Membership on an entity’s Board of Directors or advisory committees; Johnson & Johnson: Membership on an entity’s Board of Directors or advisory committees; Celgene Corporation: Membership on an entity’s Board of Directors or advisory committees. Dimopoulos:Celgene Corporation: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Chen:Celgene Corporation: Consultancy, Honoraria, Research Funding. Song:Celgene Corporation: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau. Vij:Onyx: Consultancy, Research Funding; Millenium: Speakers Bureau; Celgene Corporation: Consultancy, Research Funding, Speakers Bureau. Bahlis:Celgene Corporation: Consultancy, Honoraria, Research Funding. Baz:Millenium: Research Funding; Bristol Myers Squibb: Research Funding; Novartis: Research Funding; Karyopharm: Research Funding; Sanofi: Research Funding; Celgene Corporation: Research Funding. Hofmeister:Celgene Corporation: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau. Weisel:Celgene Corporation: Consultancy, Honoraria, Research Funding. Jagannath:Millennium: Honoraria; Celgene Corporation: Honoraria. Lonial:Millennium: Consultancy; Novartis: Consultancy; Bristol Myers Squibb: Consultancy; Sanofi: Consultancy; Onyx: Consultancy; Celgene Corporation: Consultancy. Delforge:Celgene Corporation: Honoraria. Talpaz:Ariad, Sanofi, Novartis: Membership on an entity’s Board of Directors or advisory committees; Ariad, Novartis, BMS, Pfizer: Speakers Bureau; Ariad, BMS, Sanofi, INCYTE: Research Funding. Moreau:Celgene Corporation: Honoraria, Speakers Bureau. San Miguel:Jansen, Celgene Corporation, Onyx, Novartis, Millenium: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees. Karlin:Janssen: Honoraria; Celgene Corporation: Consultancy, Expert board committee Other, Honoraria. Goldschmidt:Celgene Corporation, Janssen, Novartis: Consultancy, Honoraria, Research Funding. Oriol:Celgene Corporation: Consultancy. Alegre:Janssen: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene Corporation: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Cavo:Millennium: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Onyx: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Celgene Corporation: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees. Martinez-Lopez:Celgene Corporation: Honoraria, Research Funding. Lacy:Celgene Corporation: Research Funding. Chen:Celgene Corporation: Employment, Equity Ownership. Casey:Celgene Corporation: Employment, Equity Ownership. Sternas:Celgene Corporation: Employment, Equity Ownership. Zaki:Celgene Corporation: Employment, Equity Ownership. Jacques:Celgene Corporation: Employment, Equity Ownership. Anderson:Onyx: Consultancy, Equity Ownership; Gilead: Consultancy, Equity Ownership; sanofi aventis: Consultancy, Equity Ownership; Oncopep: Consultancy, Equity Ownership; Acetylon: Consultancy, Equity Ownership; Celgene Corporation: Consultancy, Equity Ownership.