Citations

Mayo Clinic

Clear

844 citation(s) found for "Yu, Roger".

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. , Marshall, Christian R.

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.
Hippocampal changes in mice lacking an active prohormone convertase 2
Chang, Su‐Youne, DeVera, Christopher , Yang, Tao , Song, Lina , McDowell, Arthur R., Xiong, Zhi‐Gang , Simon, Roger P. , Zhou, An , Yang, Zhihua , McDowell, Arthur

Hippocampus | February 14, 2020 | Volume: 30 | Issue: 7 | Pages: 715-723

10.1002/hipo.23195 | PMID 32057164 Get It

AbstractProhormone convertase 2 (PC2) is essential for the biosynthesis of many neuropeptides, including several of them in hippocampus. In mouse brain, lacking an enzymatically active PC2 (PC2‐null) causes accumulation of many neuropeptides in their precursor or intermediate forms. Little is known about how a PC2‐null state may affect the function of the hippocampus. In this study, adult PC2‐null mice and their wildtype (WT) littermates were subjected to three analyses to determine possible changes associated with PC2‐null at physiological, behavioral, and molecular levels, respectively, under normal and stressed conditions. Electrophysiological recordings of hippocampal slices were performed to measure evoked field‐excitatory postsynaptic potentials (EPSP), long‐term potentiation (LTP), and paired‐pulse facilitation (PPF). Morris water maze (MWM) testing was conducted to examine behavioral changes that are indicative of hippocampal integrity. Quantitative mass spectrometry analysis was used to determine changes in the hippocampal proteome in response to a focal cerebral ischemic insult. We found that there were no significant differences in the threshold of evoked EPSPs between PC2‐null and WT animals. However, an increase in LTP in both triggering rate and amplitude was observed in PC2‐null mice, suggesting that PC2 may be involved in regulating synaptic strength. The PPF, on the other hand, showed a decrease in PC2‐null mice, suggesting a presynaptic mechanism. Consistent with changes in LTP, PC2‐null mice displayed decreased latencies in finding the escape platform in the MWM test. Further, after distal focal cerebral ischemia, the hippocampal proteomes incurred changes in both WT and PC2‐null mice, with a prominent change in proteins associated with neurotransmission, exocytosis, and transport processes seen in the PC2‐null but not WT mice. Taken together, our results suggest that PC2 is involved in regulating hippocampal synaptic plasticity, learning, and memory behaviors, as well as the hippocampal response to stresses originating in other regions of the brain.
Incidence, Trends, and Outcomes of Type 2 Myocardial Infarction in a Community Cohort
Roger, Véronique L. , Sandoval, Yader , Bell, Malcolm R. , Rihal, Charanjit S. , Lewis, Bradley R., Lennon, Ryan J. , Jaffe, Allan S. , Gulati, Rajiv , Raphael, Claire E. , Bell, Malcolm, Singh, Mandeep , Lerman, Amir , Rihal, Charanjit S. , Gersh, Bernard J. , Jaffe, Allan S.

Circulation | January 6, 2020 | Volume: 141 | Issue: 6 | Pages: 454-463

10.1161/circulationaha.119.043100 | PMID 31902228 Get It

Background: Type 2 myocardial infarction (T2MI) occurs because of an acute imbalance in myocardial oxygen supply and demand in the absence of atherothrombosis. Despite being frequently encountered in clinical practice, the population-based incidence and trends remain unknown, and the long-term outcomes are incompletely characterized. Methods: We prospectively recruited residents of Olmsted County, Minnesota, who experienced an event associated with a cardiac troponin T >99th percentile of a normal reference population (≥0.01 ng/mL) between January 1, 2003, and December 31, 2012. Events were retrospectively classified into type 1 myocardial infarction (T1MI, atherothombotic event), T2MI, or myocardial injury (troponin rise not meeting criteria for myocardial infarction [MI]) using the universal definition. Outcomes were long-term all-cause and cardiovascular mortality and recurrent MI. T2MI was further subclassified by the inciting event for supply/demand mismatch. Results: A total of 5460 patients had at least one cardiac troponin T ≥0.01 ng/mL; 1365 of these patients were classified as index T1MI (age, 68.5±14.8 years; 63% male) and 1054 were classified as T2MI (age, 73.7±15.8 years; 46% male). The annual incidence of T1MI decreased markedly from 202 to 84 per 100 000 persons between 2003 and 2012 ( P <0.001), whereas the incidence of T2MI declined from 130 to 78 per 100 000 persons ( P =0.02). In comparison with patients with T1MI, patients with T2MI had higher long-term all-cause mortality after adjustment for age and sex, driven by early and noncardiovascular death. Rates of cardiovascular death were similar after either type of MI (hazard ratio, 0.8 [95% CI, 0.7–1.0], P =0.11). Subclassification of T2MI by cause demonstrated a more favorable prognosis when the principal provoking mechanism was arrhythmia, in comparison with postoperative status, hypotension, anemia, and hypoxia. After index T2MI, the most common MI during follow-up was a recurrent T2MI, whereas the occurrence of a new T1MI was relatively rare (estimated rates at 5 years, 9.7% and 1.7%). Conclusions: There has been an evolution in the type of MI occurring in the community over a decade, with the incidence of T2MI now being similar to T1MI. Mortality after T2MI is higher and driven by early and noncardiovascular death. The provoking mechanism of supply/demand mismatch affects long-term survival. These findings underscore the healthcare burden of T2MI and provide benchmarks for clinical trial design.
Correlative Analyses of the SARC028 Trial Reveal an Association Between Sarcoma-Associated Immune Infiltrate and Response to Pembrolizumab
Keung, Emily Z. , Salazar, Ruth , Rodrigues-Canales, Jaime, Bolejack, Vanessa , Tine, Brian A. Van , Schuetze, Scott M. , Attia, Steven , Riedel, Richard F. , Hu, James , Okuno, Scott H. , Priebat, Dennis A., Movva, Sujana , Davis, Lara E. , Wang, Wei‐Lien , Wargo, Jennifer A. , Tawbi, Hussein A. , Bolejack, Vanessa , Van Tine, Brian A , Schuetze, Scott M , Riedel, Richard F , Okuno, Scott , Davis, Lara E , Reed, Damon R , Reuben, Alexandre , Lazar, Alexander J , Burgess, Melissa , Parra, Edwin Roger , Reed, Damon R. , Roland, Christina Lynn , Reinke, Denise K. , Lazar, Alexander J.

Clinical Cancer Research | January 3, 2020 | Volume: 26 | Issue: 6 | Pages: 1258-1266

10.1158/1078-0432.ccr-19-1824 | PMID 31900276 Get It

Abstract Purpose: We recently reported a 17.5% objective RECIST 1.1 response rate in a phase II study of pembrolizumab in patients with advanced sarcoma (SARC028). The majority of responses occurred in undifferentiated pleomorphic sarcoma (UPS) and dedifferentiated liposarcoma (DDLPS). We sought to determine whether we can identify immune features that correlate with clinical outcomes from tumor tissues obtained pre- and on-treatment. Patients and Methods: Pretreatment (n = 78) and 8-week on-treatment (n = 68) tumor biopsies were stained for PD-L1 and multiplex immunofluorescence panels. The density of positive cells was quantified to determine associations with anti–PD-1 response. Results: Patients that responded to pembrolizumab were more likely to have higher densities of activated T cells (CD8+ CD3+ PD-1+) and increased percentage of tumor-associated macrophages (TAM) expressing PD-L1 pre-treatment compared with non-responders. Pre-treatment tumors from responders also exhibited higher densities of effector memory cytotoxic T cells and regulatory T cells compared with non-responders. In addition, higher density of cytotoxic tumor-infiltrating T cells at baseline correlated with a better progression-free survival (PFS). Conclusions: We show that quantitative assessments of CD8+ CD3+ PD-1+ T cells, percentage of TAMs expressing PD-L1, and other T-cell densities correlate with sarcoma response to pembrolizumab and improved PFS. Our findings support that multiple cell types present at the start of treatment may enhance tumor regression following anti–PD-1 therapy in specific advanced sarcomas. Efforts to confirm the activity of pembrolizumab in an expansion cohort of patients with UPS/DDLPS are underway.
A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer
Zhong, Jun, Jermusyk, Ashley , Wu, Lang , Hoskins, Jason W. , Collins, Irene , Mocci, Evelina , Song, Lei , Chung, Charles C., Xiao, Wenming , Andreotti, Gabriella , Arslan, Alan A. , Babić, Ana , Berndt, Sonja, Borgida, Ayelet , Bracci, Paige M. , Brennan, Paul , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Childs, Erica J., Du, Mengmeng , Fuchs, Charles S. , Gallinger, Steven , Gaziano, J. Michael, Giovannucci, Edward L. , Goodman, Gary E. , Goodman, Phyllis J. , Haiman, Christopher, Hartge, Patricia, Hasan, Manal , Helzlsouer, Kathy J., Holly, Elizabeth A., Klein, Eric A. , Kogevinas, Manolis, Kurtz, Robert J., Ng, Kimmie , Obazee, Ofure , Oberg, Ann L. , Patel, Alpa V. , Peters, Ulrike , Porta, Miquel , Rothman, Nathaniel , Scélo, Ghislaine , Sesso, Howard D. , Sieri, Sabina , Tjønneland, Anne , Thornquist, Mark, Trichopoulou, Antonia , Visvanathan, Kala , Wactawski‐Wende, Jean , Wentzensen, Nicolas , Yuan, Chen , Zeleniuch‐Jacquotte, Anne , Hoover, Robert N. , Brown, Kevin M. , Jacobs, Eric J. , Li, Donghui , Yu, Kai , Wolpin, Brian M. , Chatterjee, Nilanjan , Shi, Jianxin , Petersen, Gloria M. , Zhong, Jun , Arslan, Alan A , Tjønneland, Anne , Wactawski-Wende, Jean , Visvanathan, Kala , Klein, Eric A , Porta, Miquel , Zeleniuch-Jacquotte, Anne , Zhong, Jun , Yuan, Chen , Hoskins, Jason W , Zhang, Mingfeng , Zhang, Tongwu , Albanes, Demetrius , Bamlet, William R. , Freeman, Laura E. Beane , Brais, Lauren K , Canzian, Federico , Cotterchio, Michelle , Duell, Eric J. , Giles, Graham G. , Goggins, Michael , Marchand, Loı̈c Le , Malats, Núria , Männistö, Satu , Milne, Roger L. , Neale, Rachel Ε. , Orlow, Irene , Rothman, Nathaniel , Severi, Gianluca , Silverman, Debra T. , Sund, Malin , Tobias, Geoffrey S. , Van Den Eeden, Stephen K , White, Emily , Yu, Kai , Kooperberg, Charles , Risch, Harvey A. , Shu, Xiao‐Ou , Chanock, Stephen Jacob , Stolzenberg‐Solomon, Rachael Z. , Klein, Alison P. , Smith, Jill Palmer , Kraft, Peter , Zheng, Wei , Ámundadóttir, Laufey T.

JNCI: Journal of the National Cancer Institute | December 31, 2019 | Volume: 112 | Issue: 10 | Pages: 1003-1012

10.1093/jnci/djz246 | PMID 31917448 Get It

Abstract Background Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown. Methods To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74–421 samples). Results We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate &lt; .05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B; 9q31.1: SMC2, SMC2-AS1; 10q23.31: RP11-80H5.9; 12q13.13: SMUG1; 14q32.33: BTBD6; 15q23: HEXA; 15q26.1: RCCD1; 17q12: PNMT, CDK12, PGAP3; 17q22: SUPT4H1; 18q11.22: RP11-888D10.3; and 19p13.11: PGPEP1) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B; 7p14.1: INHBA; 9q34.2: ABO; 13q12.2: PDX1; 13q22.1: KLF5; and 16q23.1: WDR59, CFDP1, BCAR1, TMEM170A). The association for 12 of these genes (CELA3B, SMC2, and PNMT at novel risk loci and TERT, CLPTM1L, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, and BCAR1 at known loci) remained statistically significant after Bonferroni correction. Conclusions By integrating gene expression and genotype data, we identified novel pancreatic cancer risk loci and candidate functional genes that warrant further investigation.
Intergroup Randomized Phase III Study of Postoperative Oxaliplatin, 5-Fluorouracil, and Leucovorin Versus Oxaliplatin, 5-Fluorouracil, Leucovorin, and Bevacizumab for Patients with Stage II or III Rectal Cancer Receiving Preoperative Chemoradiation: A Tria
Chakravarthy, A. Bapsi , Meropol, Neal J. , Flynn, Patrick J. , Sloan, Jeffrey A., Diasio, Robert B. , Mitchell, Edith P. , Catalano, Paul J. , Giantonio, Bruce J. , Catalano, Robert B., Haller, Daniel G. , Awan, Rashid, Mulcahy, Mary F. , O’Brien, Timothy E., Santala, Roger, Cripps, C., Weis, John R., Atkins, James N., Leichman, Cynthia G., Petrelli, Nicholas J. , Brierley, James D. , Tepper, Joel E. , O’Dwyer, Peter J. , Sigurdson, Elin R., Cella, David , Benson, Al B. , Sloan, Jeffrey, Zhao, Fengmin , Wagner, Lynne I. , Sinicrope, Frank A. , Hamilton, Stanley R.

The Oncologist | December 18, 2019 | Volume: 25 | Issue: 5 | Pages: e798-e807

10.1634/theoncologist.2019-0437 | PMID 31852811 Get It

AbstractBackgroundThe addition of bevacizumab to chemotherapy improved outcomes for patients with metastatic colon cancer. E5204 was designed to test whether the addition of bevacizumab to mFOLFOX6, following neoadjuvant chemoradiation and definitive surgery, could improve overall survival (OS) in patients with stage II/III adenocarcinoma of the rectum.Subjects, Materials, and MethodsPatients with stage II/III rectal cancer who had completed neoadjuvant 5-fluorouracil-based chemoradiation and had undergone complete resection were enrolled. Patients were randomized to mFOLFOX6 (Arm A) or mFOLFOX6 with bevacizumab (Arm B) administered every 2 weeks for 12 cycles.ResultsE5204 registered only 355 patients (17% of planned accrual goal) as it was terminated prematurely owing to poor accrual. At a median follow-up of 72 months, there was no difference in 5-year overall survival (88.3% vs. 83.7%) or 5-year disease-free survival (71.2% vs. 76.5%) between the two arms. The rate of treatment-related grade ≥ 3 adverse events (AEs) was 68.8% on Arm A and 70.7% on Arm B. Arm B had a higher proportion of patients who discontinued therapy early as a result of AEs and patient withdrawal than did Arm A (32.4% vs. 21.5%, p = .029).The most common grade 3–4 treatment-related AEs were neutropenia, leukopenia, neuropathy, diarrhea (without prior colostomy), and fatigue.ConclusionAt 17% of its planned accrual, E5204 did not meet its primary endpoint. The addition of bevacizumab to FOLFOX6 in the adjuvant setting did not significantly improve OS in patients with stage II/III rectal cancer.Implications for PracticeAt 17% of its planned accrual, E5204 was terminated early owing to poor accrual. At a median follow-up of 72 months, there was no significant difference in 5-year overall survival (88.3% vs. 83.7%) or in 5-year disease-free survival (71.2% vs. 76.5%) between the two arms. Despite significant advances in the treatment of rectal cancer, especially in improving local control rates, the risk of distant metastases and the need to further improve quality of life remain a challenge. Strategies combining novel agents with chemoradiation to improve both distant and local control are needed.
Autologous Adipose Tissue–Derived Mesenchymal Stem Cells Introduced by Biliary Stents or Local Immersion in Porcine Bile Duct Anastomoses
Zhang, Yi , Sharma, Ayushman , Joo, Dong Jin , Nelson, Erek , AbuRmilah, Anan , Amiot, Bruce , Boyer, Christen J., Jalan‐Sakrikar, Nidhi , Martin, John A. , Moreira, Roger K. , Chowdhury, Shiraj A. , Smart, Michele, Dietz, Allan B. , Nyberg, Scott L. , Amiot, Bruce P, Jalan-Sakrikar, Nidhi, Martin, John, Moreira, Roger, Huebert, Robert , Dietz, Allan B , Abu Rmilah, Anan A , Sakrikar, Nidhi Jalan , Zhang, Yi, Alexander, J. Steven , Heimbach, Julie K. , Huebert, Robert C.

Liver Transplantation | November 19, 2019 | Volume: 26 | Issue: 1 | Pages: 100-112

10.1002/lt.25682 | PMID 31742878 Get It

Biliary complications (strictures and leaks) represent major limitations in living donor liver transplantation. Mesenchymal stem cells (MSCs) are a promising modality to prevent biliary complications because of immunosuppressive and angiogenic properties. Our goal was to evaluate the safety of adipose‐derived MSC delivery to biliary anastomoses in a porcine model. Secondary objectives were defining the optimal method of delivery (intraluminal versus extraluminal) and to investigate MSC engraftment, angiogenesis, and fibrosis. Pigs were divided into 3 groups. Animals underwent adipose collection, MSC isolation, and expansion. Two weeks later, animals underwent bile duct transection, reanastomosis, and stent insertion. Group 1 received plastic stents wrapped in unseeded Vicryl mesh. Group 2 received stents wrapped in MSC‐seeded mesh. Group 3 received unwrapped stents with the anastomosis immersed in an MSC suspension. Animals were killed 1 month after stent insertion when cholangiograms and biliary tissue were obtained. Serum was collected for liver biochemistries. Tissue was used for hematoxylin‐eosin and trichrome staining and immunohistochemistry for MSC markers (CD44 and CD34) and for a marker of neoangiogenesis (CD31). There were no intraoperative complications. One pig died on postoperative day 3 due to acute cholangitis. All others recovered without complications. Cholangiography demonstrated no biliary leaks and minimal luminal narrowing. Surviving animals exhibited no symptoms, abnormal liver biochemistries, or clinically significant biliary stricturing. Group 3 showed significantly greater CD44 and CD34 staining, indicating MSC engraftment. Fibrosis was reduced at the anastomotic site in group 3 based on trichrome stain. CD31 staining of group 3 was more pronounced, supporting enhanced neoangiogenesis. In conclusion, adipose‐derived MSCs were safely applied to biliary anastomoses. MSCs were locally engrafted within the bile duct and may have beneficial effects in terms of fibrosis and angiogenesis.
Association between a Polygenic Risk Score for Multiple Myeloma Risk and Overall Survival
Clay‐Gilmour, Alyssa , Asmann, Yan W. , Brown, Elizabeth E. , Hofmann, Jonathan N, Spinelli, John J. , Robinson, Dennis P. , O’Brien, Daniel R. , Tian, Shulan , Berndt, Sonja I. , Machiela, Mitchell J. , Wu, Xifeng , Waller, Rosalie, Kumar, Shaji , Camp, Nicola J. , Vachon, Celine M. , Machiela, Mitchell J , Hildebrandt, Michelle A.T. , Hofmann, Jonathan N, Giles, Graham G. , Bhatti, Parveen , Cozen, Wendy , Rajkumar, S. Vincent , Chanock, Stephen Jacob , Norman, Aaron D. , Sinnwell, Jason P. , Milne, Roger L. , Slager, Susan L. , Ziv, Elad , Vachon, Celine M.

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 4366-4366

10.1182/blood-2019-126088 Get It

Background Genome-wide association studies (GWAS) conducted in populations of European ancestry (EA) have identified and confirmed 23 germline susceptibility loci for multiple myeloma (MM). The effect sizes of single nucleotide polymorphisms (SNPs) at these loci are small, therefore combining them into a single summary measure, known as a polygenic risk score (PRS), may provide a more meaningful risk factor. We have previously shown a PRS comprised of the 23 SNPs for MM contributes to increased risk of MM, with a 2.7-fold increase for highest vs. lowest PRS quintiles. Whether the MM-PRS is also associated with overall survival (OS) in MM cases has not been evaluated. We examined the association between MM-PRS and OS in two EA studies. Methods The first study consisted of 2,179 EA MM cases from ten studies included in the Multiple Myeloma Working Group within the International Lymphoma Consortium (InterLymph). Cases were diagnosed between 1970 and 2015 and genotyped using multiple platforms (Oncoarray, Affymetrix, Human660W-quad Beadchip, and Illumina arrays); 885 cases also had stage [based on International Staging System (ISS)] available. Each of the GWAS was subjected to rigorous standard quality control independently (prior to imputation via the Michigan imputation server based on the Haplotype Reference Consortium (HRC). The second study consisted of 515 newly diagnosed EA MM cases from CoMMpass (Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile), diagnosed from 2011-2013, who had whole genome sequencing (WGS) performed on germline DNA. The WGS data was used to call common germline genetic variants through the Mayo Clinic bioinformatics pipeline. Briefly, genetic variants were detected with GenomeGPS, aligned to the hg19 reference genome, called using the GATK (V3.6) Haplotype Caller, and merged for multiple-sample joint calling. To reduce the false positive variants, variant quality score recalibration (VQSR) was applied for both SNPs and INDELs. After quality control, 458 EA samples remained. Follow-up was available for both studies and consisted of time from MM diagnosis date until death or date of last known follow-up. The PRS was constructed from the 23 MM SNPs using the published per allele odds ratio associated with MM risk. The published log odds ratios for each SNP were multiplied by the number of risk alleles (0, 1, 2) for the corresponding SNP, and summed, resulting in a unique score per person. Kaplan-Meier curves and Cox proportional hazard models were used to assess the association between PRS with MM OS considering two models: 1) adjusted for age, sex, study and 2) additional adjustment by stage (ISS). Hazard ratios (OR) and 95% confidence intervals (CI) were estimated. The PRS was evaluated both as a continuous variable, per standard deviation (SD), and as a categorical variable (quintiles). Results MM cases (N=2,179) in the InterLymph study were 59% male and 41% female and the median age was 61.0 years (26-90 years). Median follow-up time was 57.2 months (1.0-509.0 months) with 868 reported deaths. MM cases with stage information available consisted of 20% stage I (n=178), 53% stage II (n=466), and 27% stage III (n=241). No association was observed between PRS and OS in MM patients regardless of adjustment for stage (continuous PRS (HR: 1.03, 95% CI: 0.83-1.28, P=0.80) or by quintile PRS (p>0.05)) (Table). The CoMMpass EA MM cases (n=458) had similar distributions for sex (61% male and 39% females) but were slightly older 65 years (27-93 years) and had shorter follow-up time (median=39.75 months (0.13-77.2)) with 117 deaths. Stage was available for 96% of CoMMpass cases including 36% stage I (n=159), 33% stage II (n=146), and 31% stage III (n=134). We also observed no association of PRS and OS in the CoMMpass study (HR=1.02, 95% CI: 0.72 -1.46, P= 0.89), adjusted for age, sex, and stage (Table). Discussion A PRS score for MM risk is not associated with OS for MM cases in two EA populations. Given that prior studies have shown association of genetic variation with MM survival, efforts to identify additional loci associated with OS or MM specific survival are warranted. Future studies should also consider germline variants impact on molecular subtypes, specific therapies, and outcomes. Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.
A Phase 1 First-in-Human Study of the Anti-CD38 Dimeric Fusion Protein TAK-169 for the Treatment of Patients (pts) with Relapsed or Refractory Multiple Myeloma (RRMM) Who Are Proteasome Inhibitor (PI)- and Immunomodulatory Drug (IMiD)-Refractory, Including
Kumar, Shaji , Cornell, Robert F. , Higgins, Jack P., Willert, Erin K., Waltzman, Roger J., Zhang, Yuhong , Lublinsky, Anya, Dash, Ajeeta B. , Manoharan, Divya , Leichter, Morgan, Ottinger, Sean, Labotka, Richard, Newcomb, John, Vorog, Alexander, Landgren, Ola , Ailawadhi, Sikander , Lin, Jianchang , Zhang, Yuhong, Hanley, Michael J. , Manoharan, Divya

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 1867-1867

10.1182/blood-2019-125629 Get It

Background CD38 is highly expressed on MM cells, hence anti-CD38 agents are of interest as a therapeutic approach in MM. The anti-CD38 monoclonal antibody, dara, as mono- or combination therapy, has substantially improved efficacy outcomes in RRMM, including in heavily pretreated pts. However, many pts relapse and new therapeutic approaches are needed, particularly for pts R/R to dara. TAK-169 is a dimeric fusion protein of an anti-CD38 antibody single chain variable fragment fused to a modified Shiga-like toxin-A subunit. Its unique mechanism of action involves specific binding to CD38+ cells, forced internalization into the target cells, retrograde transport to the cytosol, and irreversible, enzymatic inactivation of target cell ribosomes to cause apoptosis. TAK-169 showed potent, rapid in vitro activity on CD38-expressing cell lines and in vivo efficacy in MM mouse xenograft tumor models with a wide CD38 expression range when administered intravenously (IV) once weekly (QW) or once every 2 weeks (Q2W). Activity was also shown in ex vivo assays from 6 pt bone marrow aspirate (BMA) samples, including from a dara-resistant pt (EC50 5 nM). TAK-169 retained in vitro activity in the presence of dara with modest shifts in EC50 noted at higher dara concentrations. In contrast to dara, TAK-169 has direct tumor cell kill activity that is independent of a pt's immune function status and may therefore be effective in a dara-resistant setting. Accordingly, this phase 1 study will assess safety, tolerability, preliminary efficacy, pharmacokinetics (PK) and pharmacodynamics (PD) of TAK-169 in RRMM. Methods This first-in-human, multicenter, open-label study (NCT04017130; Figure) comprises dose escalation (Part 1) and expansion (Part 2). Eligible pts must be aged ≥18 years with a confirmed diagnosis of MM. Pts enrolled in Part 1 should not be candidates for available therapies known to confer clinical benefit in RRMM. In part 2, pts enrolled should have received ≥3 prior lines of therapy, or ≥2 if one included a PI and IMiD combined. Prior anti-CD38 therapy (including dara) is permitted, except in the Part 2 anti-CD38 therapy-naive expansion cohort. In Part 1, the primary objective is to assess safety/tolerability of TAK-169 in pts with RRMM, and determine maximum tolerated dose/recommended Phase 2 dose (MTD/RP2D). Secondary objectives include efficacy, PK, PD and immunogenicity of TAK-169. Approximately 60 pts are planned to be enrolled to receive IV TAK-169 QW on Days 1/8/15/22 in 28-day cycles. Dosing will start at 50 μg/kg, with subsequent dose levels of 100, 200, 335, 500, 665 μg/kg. A 2nd Q2W dose escalation cohort may be initiated, starting at the QW MTD. The Bayesian Logistic Regression Model with overdose control will be used for dose escalation cohort 2 and for all subsequent dose escalation cohorts, and other non-DLT-safety, clinical, PK, and PD data will be considered. In Part 2, the primary objective is preliminary evaluation of TAK-169 clinical activity in RRMM. Secondary objectives include further evaluating safety, efficacy, PK, PD, and immunogenicity of TAK-169. Part 2 will enroll approximately 54 pts into dara RR (QW and Q2W dosing) and anti-CD38 therapy-naïve (QW dosing) cohorts. TAK-169 will be administered at the MTD/RP2D (QW and Q2W) determined in Part 1. Response will be monitored longitudinally using orthogonal approaches. M-protein levels in serum and urine will be measured each cycle to determine objective responses by International Myeloma Working Group (IMWG) criteria. Minimal residual disease status in pts suspected to be at complete response will be assessed. Circulating free DNA (cfDNA) will be collected from longitudinal plasma samples for disease monitoring. Baseline cytogenetic data will be collected, and TAK-169 efficacy will be assessed in pts with high-risk cytogenetics. Serial blood samples will be used to characterize PK and PD of TAK-169 after IV administration, and to assess the presence of antidrug antibodies. BMA samples collected at screening will be used to evaluate baseline expression of candidate biomarkers. Toxicity will be evaluated using National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) version 5. Efficacy analyses will use descriptive statistics with a 95% confidence interval and the Kaplan-Meier method. PK parameters and immunogenicity status will be summarized using descriptive statistics. Recruitment is ongoing. Figure Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Cornell:Takeda: Consultancy; KaryoPharm: Consultancy. Landgren:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Other: IDMC; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Theradex: Other: IDMC; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Ailawadhi:Cellectar: Research Funding; Pharmacyclics: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy; Amgen: Consultancy, Research Funding; Takeda: Consultancy. Higgins:Molecular Templates, Inc.: Employment, Equity Ownership. Willert:Molecular Templates: Employment. Waltzman:Molecular Templates, Inc.: Employment, Equity Ownership. Lin:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment, Equity Ownership. Zhang:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Lublinsky:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Dash:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Hanley:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Manoharan:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Leichter:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Ottinger:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Labotka:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Newcomb:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment, Equity Ownership. Vorog:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. OffLabel Disclosure: TAK-169 is a dimeric fusion protein of an anti-CD38 antibody single chain variable fragment fused to a modified Shiga-like toxin-A subunit
QOLP-04. CALCULATING THE NET CLINICAL BENEFIT IN BRAIN TUMOR TRIALS BY COMBINING SURVIVAL AND HEALTH-RELATED QUALITY OF LIFE DATA USING TWO METHODS: QUALITY ADJUSTED SURVIVAL EFFECT SIZES AND JOINT MODELLING
Coomans, Marijke B , Bottomley, Andrew , Sloan, Jeff A. , Reijneveld, Jaap C. , Taphoorn, Martin , Baumert, Brigitta G. , Coens, Corneel , Gorlia, Thierry, Herrlinger, Ulrich , Keime-Guibert, Florence, Martinelli, Francesca , Talacchi, Andrea , Dirven, Linda , Bent, Martin J. van den , Stupp, Roger , Weller, Michael , Aaronson, Neil K. , Brandes, Alba Ariela , Chinot, Olivier , Malmström, Annika , Wick, Wolfgang

Neuro-Oncology | November 11, 2019 | Volume: 21 | Issue: Supplement_6 | Pages: vi198-vi198

10.1093/neuonc/noz175.824 Get It

Abstract INTRODUCTION The impact of treatment on both the quality and the quantity of life, i.e. the ‘net clinical benefit’, should be considered to facilitate shared decision making. Two methods that combine survival and health-related quality of life (HRQoL) data: Quality Adjusted Effect Sizes (QASES) and Joint Modelling (JM) were applied to gain insight in the net clinical benefit. METHODS The net clinical benefit in one RCT (EORTC 26951 comparing radiotherapy (RT) + PCV chemotherapy versus RT alone) was calculated as a proof of concept for other trials. With the QASES method, effect sizes for differences in survival and HRQoL between treatment arms were calculated. JM allows simultaneous modeling of a longitudinal outcome (HRQoL), and a time-to event outcome (survival). HRQoL scales/items that were selected for primary analysis in the main study were also selected for this analysis: fatigue, global health, social functioning, communication deficit, seizures, physical functioning, and nausea/vomiting. RESULTS 288/386 patients completed baseline HRQoL forms and were included in the analysis. Overall survival (OS) was significantly longer with combined treatment (42.3 vs. 30.6 months). The percentage of patients who experienced a clinically relevant deterioration (≥10 points) in nausea/vomiting, fatigue, social functioning and global health up to one year after treatment compared to baseline was larger in the RT+PCV arm. QASES corresponded to a reduction in the median OS difference from 9.7 months up till 5.5 months, given equal weights to OS and HRQoL. JM analyses resulted in a theoretical loss of treatment effect in OS of 2–6% when adjusting for HRQoL. CONCLUSION Both methods showed that adjusting for the impact of treatment on a relevant HRQoL parameter reduced the survival benefit in the experimental treatment arm compared to standard treatment arm. Applying these methods may facilitate communicating the impact of treatment to patients in clinical practice.