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Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
Rheenen, Wouter van , Spek, Rick van der, Berg, Leonard van den, Hop, Paul , Zwamborn, Ramona, Klein, Niek de , Westra, Harm-Jan , Bakker, Olivier, Shireby, Gemma , Dolzhenko, Egor, Dekker, Annelot, Westeneng, Henk-Jan, Tazelaar, Gijs, Eijk, Kristel van , Kooyman, Maarten , Doherty, Mark, Iacoangeli, Alfredo, Cooper‐Knock, Johnathan , Smith, Bradley , Chandran, Siddharthan , Morrison, Karen, Shaw, Pamela, Hardy, John , Orrell, Richard, Basak, Nazli, Ratti, Antonia, Pinter, Guiseppe Lauria, D'Alfonso, Sandra, Soraru, Gianni, Padovani, Alessandro , Moglia, Cristina, Brunetti, Maura, Canosa, Antonio, Grassano, Maurizio, Nefussy, Beatrice, Nordin, Angelica, Lerner, Yossef, Zabari, Michal, Baloh, Robert, Bell, Shaugn, Vourc'h, Patrick, Corcia, Philippe, Couratier, Philippe, Meininger, Vincent, Salachas, Francois, Pardina, Jesús Mora, Assialioui, Abdelilah , Rojas‐García, Ricardo , Dion, Patrick, Ludolph, Albert, Weishaupt, Jochen, Brenner, David, Freischmidt, Axel , Bensimon, Gilbert , Durr, Alexandra, Payan, Christine, Saker-Delye, Safa, Wood, Nicholas , Rademakers, Rosa, Tittmann, Lukas, Lieb, Wolfgang, Braun, Alice, Hofman, Albert, Cichon, Sven , Traynor, Bryan, Singleton, Andrew, Neto, Miguel Mitne, Ophoff, Roel, Wiedau-Pazos, Martina, Lomen-Hoerth, Catherine, Rödiger, Annekathrin, Jörk, Alexander, Barthel, Tabea, Theele, Erik, Ilse, Berjamin, Stubendorff, Beatrice, Witte, Otto W. , Hübner, Christian, Graff, Caroline , Brylev, Lev, Fominykh, Vera, Demeshonok, Vera, Ataulina, Anastasia , Koritnik, Blaž , Zidar, Janez , Ravnik-Glavač, Metka, Glavač, Damjan, Stević, Zorica, Drory, Vivian, Povedano, Mónica, Henderson, Robert , Furlong, Sarah , McCombe, Pamela, Ngo, Shyuan, Steyn, Frederik, Mather, Karen A. , Sachdev, Perminder S. , Henders, Anjali, Carvalho, Mamede de, Petri, Susanne, Weber, Markus , Glass, Jonathan D. , Brown, Robert, Landers, John, Garton, Fleur, McRae, Allan, Mill, Jonathan , Kenna, Kevin, Runz, Heiko, Franke, Lude , Damme, Philip Van , Gaur, Nayana , Steyn, Frederik J. , Landers, John E. , Westra, Harm-Jan , Steyn, F J , Cichon, Sven , Sachdev, Perminder S , Van Damme, Philip , Hardy, John , Padovani, Alessandro , Graff, Caroline , Spek, Rick A. A. van der , Bakker, Mark K. , Veldink, Jan H. , Vugt, Joke J.F.A. van , Zwamborn, Ramona A.J. , Deelen, Patrick , Hannon, Eilís , Moisse, Matthieu , Baird, Denis A. , Restuadi, Restuadi , Gawor, Klara , Westeneng, Henk‐Jan , Byrne, Ross Patrick , Heverin, Mark , Khleifat, Ahmad Al , Iacoangeli, Alfredo , Shatunov, Aleksey , Ticozzi, Nicola , Gromicho, Marta , Pal, Suvankar , Orrell, Richard W., Sendtner, Michael , Meyer, Thomas , Basak, Nazli A., Kooi, Anneke J. van der , Ratti, Antonia , Fogh, Isabella , Gellera, Cinzia , Corti, Stefania Paola , Cereda, Cristina , Sproviero, Daisy , D’Alfonso, Sandra , Siciliano, Gabriele , Filosto, Massimiliano , Chiò, Adriano , Calvo, Andrea , Moglia, Cristina , Brunetti, Maura , Canosa, Antonio , Grassano, Maurizio , Beghi, Ettore , Pupillo, Elisabetta , Logroscino, Giancarlo , Osmanovic, Alma , Nordin, Angelica , Lerner, Yossef, Zabari, Michal, Gotkine, Marc , Vourc’h, Patrick , Corcia, Philippe , Couratier, Philippe , Millecamps, Stéphanie , Meininger, Vincent, Salachas, François, Ross, Jay P. , Ludolph, Albert, Brice, Alexis , Dürr, Alexandra , Saker-Delye, Safaa, Wood, Nicholas , Topp, Simon , Rademakers, Rosa , Tittmann, Lukas , Franke, André , Ripke, Stephan , Braun, Alice , Kraft, Julia , Whiteman, David C. , Olsen, Catherine M. , Uitterlinden, André G. , Hofman, Albert, Rietschel, Marcella , Nöthen, Markus M. , Amouyel, Philippe , Traynor, Bryan J. , Singleton, Andrew, Cauchi, Ruben J. , Ophoff, Roel A. , Lomen‐Hoerth, Catherine , Deerlin, Vivianna M. Van , Großkreutz, Julian , Rödiger, Annekathrin, Jörk, Alexander, Barthel, Tabea, Theele, Erik, Steinbach, Robert , Hübner, Christian, Fominykh, Vera , Demeshonok, Vera, Rogelj, Boris , Drory, Vivian, Blair, Ian P. , Kiernan, Matthew C. , Benyamin, Beben , Mathers, Susan , Needham, Merrilee , Ngo, Shyuan T. , Nicholson, Garth A. , Pamphlett, Roger , Rowe, Dominic B. , Williams, Kelly L. , Wallace, Leanne M. , Carvalho, Mamede A. de , Pinto, Susana , Petri, Susanne , Rouleau, Guy Armand , Silani, Vincenzo , Curtis, Charles J. C. , Breen, Gerome , Brown, Robert, Shaw, Christopher E. , Andersen, Peter Munch , Groen, Ewout J. N. , Es, Michael A. van , Pasterkamp, R. Jeroen , Fan, Dongsheng , Smith, George Davey , Gaunt, Tom R. , Eberle, Michael A. , McLaughlin, Russell L. , Hardiman, Orla , Wray, Naomi , Tsai, Ellen A. , Runz, Heiko , Al‐Chalabi, Ammar

No container title available | March 18, 2021 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-322430/v1 Get It

Abstract Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a life-time risk of 1 in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry GWAS in ALS including 29,612 ALS patients and 122,656 controls which identified 15 risk loci in ALS. When combined with 8,953 whole-genome sequenced individuals (6,538 ALS patients, 2,415 controls) and the largest cortex-derived eQTL dataset (MetaBrain), analyses revealed locus-specific genetic architectures in which we prioritized genes either through rare variants, repeat expansions or regulatory effects. ALS associated risk loci were shared with multiple traits within the neurodegenerative spectrum, but with distinct enrichment patterns across brain regions and cell-types. Of the environmental and life-style risk factors obtained from literature, Mendelian randomization analyses indicated a causal role for high cholesterol levels. All ALS associated signals combined reveal a role for perturbations in vesicle mediated transport and autophagy, and provide evidence for cell-autonomous disease initiation in glutamatergic neurons.
Quality of Life and Adverse Events: Prognostic Relationships in Long-Term Ovarian Cancer Survival
Wenzel, Lari , Osann, Kathryn , McKinney, Chelsea , Cella, David , Fulci, Giulia , Scroggins, Mary Jackson, Lankes, Heather A. , Wang, Victoria , Nephew, Kenneth P. , Maxwell, G. Larry , Mok, Samuel C. , Miller, Austin , Mannel, Robert S., Gray, Heidi J. , Hanjani, Parviz, Huh, Warner K. , Spirtos, Nick M. , Sharma, Sudarshan , Santin, Alessandro D. , Sperduto, Paul W. , Lele, Shashikant B., Burger, Robert A. , Monk, Bradley J. , Birrer, Michael J. , Miller, Austin , Spirtos, Nick , Glaser, Gretchen , Monk, Bradley J , Mok, Samuel C , Conrads, Thomas , Leitão, Mario M. , Glaser, Gretchen

JNCI: Journal of the National Cancer Institute | March 15, 2021 | Volume: 113 | Issue: 10 | Pages: 1369-1378

10.1093/jnci/djab034 | PMID 33729494 Get It

Abstract Background There is a critical need to identify patient characteristics associated with long-term ovarian cancer survival. Methods Quality of life (QOL), measured by the Functional Assessment of Cancer Therapy-Ovarian-Trial Outcome Index (FACT-O-TOI), including physical, functional, and ovarian-specific subscales, was compared between long-term survivors (LTS) (8+ years) and short-term survivors (STS) (<5 years) of GOG 218 at baseline; before cycles 4, 7, 13, 21; and 6 months post-treatment using linear and longitudinal mixed models adjusted for covariates. Adverse events (AEs) were compared between survivor groups at each assessment using generalized linear models. All P values are 2-sided. Results QOL differed statistically significantly between STS (N = 1115) and LTS (N = 260) (P < .001). Baseline FACT-O-TOI and FACT-O-TOI change were independently associated with long-term survival (odds ratio = 1.05, 95% confidence interval = 1.03 to 1.06 and odds ratio = 1.06, 95% confidence interval = 1.05 to 1.07, respectively). A 7-point increase in baseline QOL was associated with a 38.0% increase in probability of LTS, and a 9-point increase in QOL change was associated with a 67.0% increase in odds for LTS. QOL decreased statistically significantly with increasing AE quartiles (cycle 4 quartiles: 0-5 vs 6-8 vs 9-11 vs ≥12 AEs, P = .01; cycle 21 quartiles: 0-2 vs 3 vs 4-5 vs ≥6 AEs, P = .001). Further, LTS reported statistically significantly better QOL compared with STS (P = .03 and P = .01, cycles 4 and 21, respectively), with similar findings across higher AE grades. Conclusions Baseline and longitudinal QOL change scores distinguished LTS vs STS and are robust prognosticators for long-term survival. Results have trial design and supportive care implications, providing meaningful prognostic value in this understudied population.
Prognostic Impact of Acute Pulmonary Triggers in Patients with Takotsubo Syndrome: New Insights from the International Takotsubo Registry
Cammann, Victoria L. , Napp, L. Christian , Szawan, Konrad A. , Micek, Jozef, Dreiding, Sara, Levinson, Rena A. , Petkova, Vanya, Würdinger, Michael , Sumalinog, Rafael, Gili, Sebastiano , Clarenbach, Christian F. , Kohler, Malcolm , Wischnewsky, Manfred , Citro, Rodolfo , Vecchione, Carmine , Bossone, Eduardo , Franke, Jennifer , Meder, Benjamin , Knorr, Maike, Heiner, Susanne, Burgdorf, Christof , Kherad, Behrouz , Tschöpe, Carsten , Sarcon, Annahita, Shinbane, Jerold S., Rajan, Lawrence, Michels, Guido, Pfister, Roman , Cuneo, Alessandro , Jacobshagen, Claudius, Karakas, Mahir , Köenig, Wolfgang , Pott, Alexander , Meyer, Philippe , Roffi, Marco , Banning, Adrian , Wolfrum, Mathias , Cuculi, Florim , Fischer, Thomas, Vasankari, Tuija , Budnik, Monika , Dworakowski, Rafał , MacCarthy, Philip , Osswald, Stefan , Galiuto, Leonarda , Chan, Christina , Bridgman, Paul , Beug, Daniel , Gilyarova, Ekaterina, Gilyarov, Mikhail , El‐Battrawy, Ibrahim , Akın, İbrahim , Kozel, Martin , Winchester, David E. , Ukena, Christian , Carrilho‐Ferreira, Pedro , Hauck, Christian , Paolini, Carla , Bilato, Claudio , Sano, Masanori, Ishibashi, Iwao, Takahara, Masayuki, Himi, Toshiharu, Kobayashi, Yoshio , Prasad, Abhiram , Rihal, Charanjit S. , Liu, Kan , Bianco, Matteo , Jörg, Lucas, Rickli, Hans , Pestana, Gonçalo , Böhm, Michael , Maier, Lars S. , Pinto, Fausto J. , Widimský, Petr , Felix, Stephan B. , Opolski, Grzegorz , Rottbauer, Wolfgang , Pieske, Burkert , Borggrefe, Martin, Katus, Hugo A. , Münzel, Thomas , Crea, Filippo , Lüscher, Thomas F. , Ghadri, Jelena R. , Templin, Christian , Gilyarov, Mikhail , Bossone, Eduardo , Crea, Filippo , Citro, Rodolfo , El-Battrawy, Ibrahim , Prasad, Abhiram , Vecchione, Carmine , Tschöpe, Carsten , Koenig, Wolfgang , Meyer, Philippe , Banning, Adrian , Gilyarov, Mikhail , Ukena, Christian , Bilato, Claudio , Bianco, Matteo , Kato, Ken , Patrascu, Alexandru , Neuhaus, Michael, Jaguszewski, Miłosz , Noutsias, Michel , D’Ascenzo, Fabrizio , Dichtl, Wolfgang , Kobza, Richard , Airaksinen, Juhani , Kaiser, Christoph A. , Delmas, Clément , Lairez, Olivier , Shilova, Alexandra S. , Toušek, Petr , Gałuszka, Jan , Poglajen, Gregor , Rihal, Charanjit S. , Schulze, Paul Christian , Nguyen, Thanh Ha Tuan , Braun-Dullaeus, Ruediger Christian , Hasenfuß, Gerd , Schunkert, Heribert , Thiele, Hölger , Bauersachs, Johann , Horowitz, John D. , Mario, Carlo Di , Bax, Jeroen J. , Ruschitzka, Frank T.

ESC Heart Failure | March 13, 2021 | Volume: 8 | Issue: 3 | Pages: 1924-1932

10.1002/ehf2.13165 | PMID 33713566 Get It

Abstract Aims Acute pulmonary disorders are known physical triggers of takotsubo syndrome (TTS). This study aimed to investigate prevalence of acute pulmonary triggers in patients with TTS and their impact on outcomes. Methods and results Patients with TTS were enrolled from the International Takotsubo Registry and screened for triggering factors and comorbidities. Patients were categorized into three groups (acute pulmonary trigger, chronic lung disease, and no lung disease) to compare clinical characteristics and outcomes. Of the 1670 included patients with TTS, 123 (7%) were identified with an acute pulmonary trigger, and 194 (12%) had a known history of chronic lung disease. The incidence of cardiogenic shock was highest in patients with an acute pulmonary trigger compared with those with chronic lung disease or without lung disease (17% vs. 10% vs. 9%, P = 0.017). In-hospital mortality was also higher in patients with an acute pulmonary trigger than in the other two groups, although not significantly (5.7% vs. 1.5% vs. 4.2%, P = 0.13). Survival analysis demonstrated that patients with an acute pulmonary trigger had the worst long-term outcome (P = 0.002). The presence of an acute pulmonary trigger was independently associated with worse long-term mortality (hazard ratio 2.12, 95% confidence interval 1.33–3.38; P = 0.002). Conclusions The present study demonstrates that TTS is related to acute pulmonary triggers in 7% of all TTS patients, which accounts for 21% of patients with physical triggers. The presence of acute pulmonary trigger is associated with a severe in-hospital course and a worse long-term outcome.
Randomized Phase II Trial of Polyphenon E versus Placebo in Patients at High Risk of Recurrent Colonic Neoplasia
Sinicrope, Frank A. , Viggiano, Thomas R., Buttar, Navtej , Song, Louis M. Wong Kee , Schroeder, Kenneth W., Kraichely, Robert E., Larson, Mark V., Kisiel, John B. , Gostout, Christopher J., Kalaiger, Abdul M., Patai, Árpád V. , Della’Zanna, Gary , Meyers, Jeffrey P., Foster, Nathan R. , Yang, Chung S. , Sontag, Stephen J. , Buttar, Navtej S, Sedlack, Robert E. , Kisiel, John B , Patai, Árpád V , Della'Zanna, Gary , Umar, Asad , Limburg, Paul J. , Yang, Chung S , Sontag, Stephen , Sinicrope, Frank A , Kalaiger, Abdul Mukhtadir

Cancer Prevention Research | March 1, 2021 | Volume: 14 | Issue: 5 | Pages: 573-580

10.1158/1940-6207.capr-20-0598 | PMID 33648940 Get It

Abstract Polyphenon E (Poly E) is a green tea polyphenol preparation whose most active component is epigallocatechin gallate (EGCG). We studied the cancer preventive efficacy and safety of Poly E in subjects with rectal aberrant crypt foci (ACF), which represent putative precursors of colorectal cancers. Eligible subjects had prior colorectal advanced adenomas or cancers, and had ≥5 rectal ACF at a preregistration chromoendoscopy. Subjects (N = 39) were randomized to 6 months of oral Poly E (780 mg EGCG) daily or placebo. Baseline characteristics were similar by treatment arm (all P >0.41); 32 of 39 (82%) subjects completed 6 months of treatment. The primary endpoint was percent reduction in rectal ACF at chromoendoscopy comparing before and after treatment. Among 32 subjects (15 Poly E, 17 placebo), percent change in rectal ACF number (baseline vs. 6 months) did not differ significantly between study arms (3.7% difference of means; P = 0.28); total ACF burden was also similar (−2.3% difference of means; P = 0.83). Adenoma recurrence rates at 6 months were similar by arm (P > 0.35). Total drug received did not differ significantly by study arm; 31 (79%) subjects received ≥70% of prescribed Poly E. Poly E was well tolerated and adverse events (AE) did not differ significantly by arm. One subject on placebo had two grade 3 AEs; one subject had grade 2 hepatic transaminase elevations attributed to treatment. In conclusion, Poly E for 6 months did not significantly reduce rectal ACF number relative to placebo. Poly E was well tolerated and without significant toxicity at the dose studied. Prevention Relevance: We report a chemoprevention trial of polyphenon E in subjects at high risk of colorectal cancer. The results show that polyphenon E was well tolerated, but did not significantly reduce the number of rectal aberrant crypt foci, a surrogate endpoint biomarker of colorectal cancer.
Risk of Conversion to Arthroplasty After Hip Arthroscopy: Validation of a Published Risk Score Using an Independent, Prospectively Collected Database
Leland, Devin P. , Lall, Ajay C. , Domb, Benjamin G. , Hartigan, David E. , Levy, Bruce A. , Krych, Aaron J. , Krych, Aaron J , Hevesi, Mario , Rosinsky, Philip J.

The American Journal of Sports Medicine | February 26, 2021 | Volume: 49 | Issue: 5 | Pages: 1192-1198

10.1177/0363546521993829 | PMID 33635085 Get It

Background: Hip arthroscopy is rapidly advancing and increasingly commonly performed. The most common surgery after arthroscopy is total hip arthroplasty (THA), which unfortunately occurs within 2 years of arthroscopy in up to 10% of patients. Predictive models for conversion to THA, such as that proposed by Redmond et al, have potentially substantial value in perioperative counseling and decreasing early arthroscopy failures; however, these models need to be externally validated to demonstrate broad applicability. Purpose: To utilize an independent, prospectively collected database to externally validate a previously published risk calculator by determining its accuracy in predicting conversion of hip arthroscopy to THA at a minimum 2-year follow-up. Study Design: Cohort study (diagnosis); Level of evidence, 1. Methods: Hip arthroscopies performed at a single center between November 2015 and March 2017 were reviewed. Patients were assessed pre- and intraoperatively for components of the THA risk score studied—namely, age, modified Harris Hip Score, lateral center-edge angle, revision procedure, femoral version, and femoral and acetabular Outerbridge scores—and followed for a minimum of 2 years. Conversion to THA was determined along with the risk score’s receiver operating characteristic (ROC) curve and Brier score calibration characteristics. Results: A total of 187 patients (43 men, 144 women, mean age, 36.0 ± 12.4 years) underwent hip arthroscopy and were followed for a mean of 2.9 ± 0.85 years (range, 2.0-5.5 years), with 13 patients (7%) converting to THA at a mean of 1.6 ± 0.9 years. Patients who converted to THA had a mean predicted arthroplasty risk of 22.6% ± 12.0%, compared with patients who remained arthroplasty-free with a predicted risk of 4.6% ± 5.3% ( P < .01). The Brier score for the calculator was 0.04 ( P = .53), which was not statistically different from ideal calibration, and the calculator demonstrated a satisfactory area under the curve of 0.894 ( P < .001). Conclusion: This external validation study supported our hypothesis in that the THA risk score described by Redmond et al was found to accurately predict which patients undergoing hip arthroscopy were at risk for converting to subsequent arthroplasty, with satisfactory discriminatory, ROC curve, and Brier score calibration characteristics. These findings are important in that they provide surgeons with validated tools to identify the patients at greatest risk for failure after hip arthroscopy and assist in perioperative counseling and decision making.
Preemptive Versus Reactive Topical Clobetasol for Regorafenib-Induced Hand-Foot Reactions: A Preplanned Analysis of the ReDOS Trial
Jatoi, Aminah , Ahn, Daniel H. , Ciombor, Kristen K. , Jacobs, Nisha L. , Pasche, Boris , Cleary, James M. , McCune, Jeannine S. , Pedersen, Katrina S. , Chiorean, E. Gabriela , Heying, Erica N., Lenz, Heinz‐Josef , Sloan, Jeff A. , Bekaii‐Saab, Tanios , Zemla, Tyler J, Bekaii-Saab, Tanios S , Pedersen, Katrina , Ou, Fang‐Shu , Zemla, Tyler , Le‐Rademacher, Jennifer , Boland, Patrick M. , Barzi, Afsaneh , Grothey, Axel , Lacouture, Mario E.

The Oncologist | February 19, 2021 | Volume: 26 | Issue: 7 | Pages: 610-618

10.1002/onco.13730 | PMID 33604969 Get It

Abstract Background Hand-foot skin reaction (HFSR) is the most common regorafenib-induced adverse event and is in need of effective prevention and palliation. Materials and Methods The Regorafenib Dose Optimization Study (ReDOS), a four-arm, previously published trial with a 1:1:1:1 randomization scheme, was analyzed in a manner in keeping with the original protocol to assess whether clobetasol 0.05% cream (a corticosteroid) applied to the palms and soles twice per day for 8 weeks was more effective when prescribed preemptively (before the development of HFSR) versus reactively (after the development of HFSR). Patients were assessed during the first two cycles of regorafenib. Results Sixty-one patients received preemptive clobetasol, and 55 received reactive clobetasol. Groups were balanced on demographics. Over the first two cycles, no evidence of HFSR occurred in 30% with preemptive clobetasol versus 13% with reactive clobetasol (p = .03). During the first cycle, 54% and 45% of patients had no HFSR with preemptive and reactive clobetasol, respectively (p = .35). During the second cycle, 33% and 15% had no HFSR with preemptive and reactive clobetasol, respectively (p = .02). During the second cycle, rates of grade 1, 2, and 3 HFSR were 30%, 8%, and 3%, respectively, with preemptive clobetasol and 43%, 18%, and 7%, respectively, with reactive clobetasol (p = .12). Patient-reported outcomes showed HFSR compromised nearly all activities of daily living with worse quality of life in patients who received reactive versus preemptive clobetasol. No clobetasol-induced adverse events were reported. Conclusion Preemptive clobetasol might lessen regorafenib-induced hand-foot reactions compared with reactive therapy. Further confirmatory studies are needed in a larger patient cohort. Implications for Practice Regorafenib causes hand-foot skin reactions. Preemptive clobetasol, a high-potency topical corticosteroid, appears to lessen the severity of this adverse event. Although further study is needed, the favorable adverse event profile of this intervention might prompt clinicians to discuss this option with their patients.
The miR–181a–SFRP4 Axis Regulates Wnt Activation to Drive Stemness and Platinum Resistance in Ovarian Cancer
Nagaraj, Anil Belur , Knarr, Matthew , Connor, R. Shae , Kovalenko, Olga , Fleming, Alexis , Surti, Arshia, Nurmemmedov, Elmar , Beltrame, Luca , Marchini, Sergio , Kahn, Michaël , DiFeo, Analisa , Belur Nagaraj, Anil, Connor, R Shae , Beltrame, Luca , Kahn, Michael , DiFeo, Analisa , Sekhar, Sreeja C. , Joseph, Peronne L.

Cancer Research | February 11, 2021 | Volume: 81 | Issue: 8 | Pages: 2044-2055

10.1158/0008-5472.can-20-2041 | PMID 33574092 Get It

Abstract Wnt signaling is a major driver of stemness and chemoresistance in ovarian cancer, yet the genetic drivers that stimulate its expression remain largely unknown. Unlike other cancers, mutations in the Wnt pathway are not reported in high-grade serous ovarian cancer (HGSOC). Hence, a key challenge that must be addressed to develop effective targeted therapies is to identify nonmutational drivers of Wnt activation. Using an miRNA sensor-based approach, we have identified miR-181a as a novel driver of Wnt/β-catenin signaling. miR-181ahigh primary HGSOC cells exhibited increased Wnt/β-catenin signaling, which was associated with increased stem-cell frequency and platinum resistance. Consistent with these findings, inhibition of β-catenin decreased stem-like properties in miR-181ahigh cell populations and downregulated miR-181a. The Wnt inhibitor SFRP4 was identified as a novel target of miR-181a. Overall, our results demonstrate that miR-181a is a nonmutational activator of Wnt signaling that drives stemness and chemoresistance in HGSOC, suggesting that the miR–181a–SFRP4 axis can be evaluated as a novel biomarker for β-catenin–targeted therapy in this disease. Significance: These results demonstrate that miR-181a is an activator of Wnt signaling that drives stemness and chemoresistance in HGSOC and may be targeted therapeutically in recurrent disease.
Efficacy and Safety of the Panobinostat-Bortezomib-Dexamethasone Combination in Relapsed or Relapsed/Refractory Multiple Myeloma: Results from the Randomized Panorama 3 Study
Laubach, Jacob P. , Mariz, Mário, Shelekhova, Tatiana , Abdo, André , Jacobasch, Lutz , Hájek, Roman , Sureda, Anna , Beksaç, Meral , Gonçalves, Iara, Creixenti, Joan Bladé, Spencer, Andrew , Maison‐Blanche, Pierre, Richardson, Paul G. , Hajek, Roman , Beksac, Meral , Schjesvold, Fredrik , Dimopoulos, Meletios Α. , Lech‐Marańda, Ewa , Špıčka, Ivan , Hungria, Vânia , Polprasert, Chantana , Illés, Árpád , Wróbel, Tomasz , Rajkumar, S. Vincent , Chari, Ajai , Lonial, Sagar , Moreau, Philippe , Richardson, Paul Gerard Guy , Miguel, Jesús F. San

Blood | February 8, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 4-6

10.1182/blood-2020-140697 Get It

Background Panobinostat (Pano), a pan-histone deacetylase inhibitor, is approved for the treatment of relapsed or relapsed/refractory multiple myeloma (RRMM) in combination with bortezomib and dexamethasone (FVd) in patients who have received ≥2 prior lines of therapy, including bortezomib and an immunomodulatory agent (IMiD). The pivotal phase 3 PANORAMA 1 trial, which used intravenous (i.v.) bortezomib, demonstrated significant progression-free survival benefit with FVd compared with placebo-Vd; however, adverse events (AEs) were also more frequent (San-Miguel J. et al., Lancet Oncol. 2014). The randomized phase 2 PANORAMA 3 study was conducted to optimize FVd by comparing three regimens with varying dose and schedule of Pano and by incorporating subcutaneous (s.c.) bortezomib. Methods PANORAMA 3 (NCT02654990) was a randomized, open-label, international, multicenter phase 2 study conducted in compliance with the Declaration of Helsinki. Eligible patients were ≥18 years old with 1‒4 prior lines of therapy, including an IMiD. Patients refractory to bortezomib were excluded. Patients were randomized 1:1:1 to Pano 20 mg three times weekly (TIW; the currently approved dosing regimen; Days 1, 3, 5, 8, 10, 12), Pano 20 mg twice weekly (BIW; Days 1, 4, 8, 11), or Pano 10 mg TIW (Days 1, 3, 5, 8, 10, 12), all administered in 21-day cycles. Randomization was stratified by number of prior treatment lines (1 vs 2 vs 3 or 4) and by age at screening (≤75 vs &gt;75 years). For Cycles 1-4, all patients ≤75 years old received s.c. bortezomib 1.3 mg/m2 BIW (Days 1, 4, 8, 11) and oral dexamethasone 20 mg (Days 1, 2, 4, 5, 8, 9, 11, 12). Patients aged ≤75 years from Cycle 5 onwards, and patients &gt;75 years for all cycles, received bortezomib 1.3 mg/m2 weekly (Days 1 and 8) and dexamethasone 20 mg on Days 1, 2, 8, and 9. Patients were treated until progressive disease or death, or until discontinuation due to toxicity or withdrawal of consent. The primary endpoint was overall response rate (ORR; IMWG 2011 criteria) after up to 8 treatment cycles by Independent Review Committee assessment. Secondary endpoints included best response, time to response (TTR), duration of response (DOR) and safety. Results In total, 248 patients were randomized (Pano: 20 mg TIW, N=82; 20 mg BIW, N=83; 10 mg TIW, N=83) and 241 patients received treatment (Pano: 20 mg TIW, N=79; 20 mg BIW, N=82; 10 mg TIW, N=80). Mean (SD) age was 65 (9) years; 55% of patients were male. Overall, patients had a median (range) time since diagnosis of 49 months (7‒242) and a median (range) of 2 (1-4) prior lines of therapy; 17% and 2% of patients were refractory to lenalidomide and pomalidomide, respectively. In total, 68% of patients had relapsed and 32% had relapsed/refractory disease. High-risk molecular findings were present in 15% of patients, with either del(17p) or t (4;14) at screening by fluorescence in situ hybridization. For the Pano 20 mg TIW, 20 mg BIW, and 10 mg TIW arms, respectively, median (range) number of treatment cycles completed was 9 (1; 50), 8 (1; 40) and 7 (1; 39); ORR (95% CI) after up to 8 treatment cycles was 62% (51; 73), 65% (54; 75), and 51% (39; 62); median TTR was 1, 2, and 3 months, with a median (95% CI) DOR of 22 (14, not estimable), 12 (9, 21), and 11 (6, 14.5) months. Best responses are presented in Table 1. In the Pano 20 mg TIW, 20 mg BIW, and 10 mg TIW arms, respectively, treatment-related AEs Grade ≥3 were reported in 78%, 72%, and 54% of patients; serious AEs were reported in 54%, 48%, and 44% of patients; and discontinuations due to AEs occurred in 29.5%, 28%, and 15% of patients, respectively. Most common treatment-emergent AEs (≥20% patients) are presented in Table 2. Grade ≥3 diarrhea occurred in 11.5%, 10%, and 5% of patients, respectively. There were 14 (6%) on-treatment deaths during the study (20 mg TIW, n=5; 20 mg BIW, n=3; 10 mg TIW, n=6), with none causally related to therapy and with 12 of 14 directly attributable to progressive disease. Conclusion In patients with RRMM, the 20 mg TIW and 20 mg BIW dosing regimens provided favorable outcomes, with most durable and deepest responses observed in the 20 mg TIW arm. The rate of AEs, including diarrhea, with Pano 20 mg TIW was lower than those observed with the same dosing regimen in PANORAMA 1, suggesting s.c. administration of bortezomib improves tolerability compared with i.v. administration. Moreover, all three regimens of FVd proved generally manageable; Pano 20 mg TIW had greatest efficacy, while 10mg TIW proved best tolerated. Disclosures Schjesvold: Celgene, Amgen, Janssen, Oncopeptides: Research Funding; Amgen, Celgene, Janssen, MSD, Novartis, Oncopeptides, Sanofi, Takeda: Consultancy; Amgen, Celgene, Janssen, MSD, Novartis, Oncopeptides, Sanofi, SkyliteDX, Takeda: Honoraria. Dimopoulos:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees. Lech-Marańda:Roche, Amgen, Gilead: Speakers Bureau; Roche, Novartis, Takeda, Janssen-Cilag, Amgen, Gilead, AbbVie, Sanofi: Consultancy. Spicka:Celgene, Amgen, Janssen-Cilag, Takeda, Bristol-Myers Squibb, Novartis, Sanofi: Consultancy, Honoraria, Speakers Bureau. Hajek:Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Consultancy, Honoraria; PharmaMar: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Research Funding; Oncopeptides: Consultancy. Wróbel:Roche: Honoraria, Research Funding; Takeda, Celgene, Janssen, Amgen, AbbVie, Teva, Sandoz: Consultancy, Honoraria. Sureda Balari:Takeda: Consultancy, Honoraria, Speakers Bureau; Merck Sharpe and Dohme: Consultancy, Honoraria, Speakers Bureau; Sanofi: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Gilead/Kite: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Incyte: Consultancy; Celgene: Consultancy, Honoraria; BMS: Speakers Bureau; Roche: Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria. Beksac:Janssen&janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Deva: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Goncalves:Janssen, Takeda, Amgen, Bayer, Novartis, Merck, Bayer, Celgene, GSK, BMS: Research Funding; Janssen: Consultancy, Speakers Bureau. Bladé Creixenti:Celgene: Honoraria; Amgen: Honoraria; Oncopeptides: Honoraria; Takeda: Honoraria; Janssen: Honoraria. Chari:Bristol Myers Squibb: Consultancy; Pharmacyclics: Research Funding; Novartis: Honoraria; Oncopeptides: Consultancy; Takeda: Consultancy, Research Funding; Antengene: Consultancy; Sanofi Genzyme: Consultancy; Seattle Genetics: Consultancy, Research Funding; Secura Bio: Consultancy; Adaptive Biotechnology: Honoraria; Array BioPharma: Honoraria; Karyopharm: Consultancy; Glaxo Smith Kline: Consultancy; Amgen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; The Binding Site: Honoraria. Lonial:JUNO Therapeutics: Consultancy; Merck: Consultancy, Honoraria, Other: Personal fees; Abbvie: Consultancy; GSK: Consultancy, Honoraria, Other: Personal fees; BMS: Consultancy, Honoraria, Other: Personal fees, Research Funding; Janssen: Consultancy, Honoraria, Other: Personal fees, Research Funding; Novartis: Consultancy, Honoraria, Other: Personal fees; Takeda: Consultancy, Other: Personal fees, Research Funding; Amgen: Consultancy, Honoraria, Other: Personal fees; Onyx: Honoraria; Genentech: Consultancy; Karyopharm: Consultancy; Sanofi: Consultancy; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Honoraria. Spencer:Haemalogix: Consultancy, Honoraria, Other: Grant/Research Support; Secura Bio: Consultancy, Honoraria; Pharmamar: Other; Abbvie: Consultancy, Honoraria, Other: Grant/Research Support; Janssen: Consultancy, Honoraria, Other: Grant/Research Support, Speakers Bureau; Roche: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; TheraMyc: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Other: Grant/Research Support; BMS: Honoraria, Other: Grant/Research Support, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria; Servier: Consultancy, Other: Grant/Research Support; Takeda: Honoraria, Other, Speakers Bureau; Antegene: Consultancy, Honoraria. Maison-Blanche:Chiesi Pharmaceutical, Sanofi, Novartis: Honoraria. Moreau:Novartis: Honoraria; Sanofi: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Richardson:Celgene/BMS, Oncopeptides, Takeda, Karyopharm: Research Funding. San-Miguel:Amgen, BMS, Celgene, Janssen, MSD, Novartis, Takeda, Sanofi, Roche, Abbvie, GlaxoSmithKline and Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees.
Tfeb Links MYC Signaling to Epigenetic Control of Acute Myeloid Leukemia Cell Death and Differentiation
Yu, Xiaoqing , Yang, Chunying , Hitosugi, Taro , Cheng, Chia‐Ho, Freischel, Audrey R. , Watson, G., Schaub, Franz X. , Vedder, Alexis , Cen, Ling , McGraw, Kathy L. , Yun, Seongseok , Vincelette, Nicole D. , Fernandez, Mario R. , Zhang, Ling , Li, Weimin , Hou, Hsin‐An , Murphy, Daniel J. , Ballabio, Andrea , Kaufmann, Scott H. , Berglund, Anders , Cleveland, John L.

Blood | February 8, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 12-13

10.1182/blood-2020-137209 Get It

MYC gene amplification and somatic mutations are frequent in both adult and pediatric AML although how MYC drives and contributes to the development and maintenance of AML has not been resolved. Transcription factor EB (TFEB) is a master regulator of genes that control autophagy and lysosome biogenesis, a central catabolic recycling pathway that regulates cell survival. Given the oncogenic effects of MYC in AML and that the induction of autophagy compromises AML cell growth and survival, we tested if the oncogenic effect of MYC depends on its suppression of TFEB transcription programs in AML. In support of this hypothesis, inducible MYC expression in K562 and THP-1 leukemia cells was sufficient to suppress expression of TFEB and its target genes. Further and conversely, MYC knockdown in NB4 AML cells provoked increased expression of TFEB mRNA and protein, as well as increased expression of TFEB target genes. Notably, dose response studies demonstrated that expression of TFEBS211A, constitutively nuclear form of TFEB that is refractory to control by mTORC1 signaling, dramatically impairs proliferation of HL60, OCI-AML2 and OCI-AML3 AML cells. In addition, induction of TFEBS211A provoked rampant apoptosis. Of important, overexpression of TFEBS211A in HL-60 and OCI-AML3 cells was also sufficient to promote monocytic and granulocytic differentiation, as judged by morphological changes and the acquisition of mature monocytic and granulocytic markers including CD11b, Gr1, and CD15. To identify TFEB targets that might contribute to myeloid/granulocytic differentiation, we performed RNA-seq analysis of HL60 leukemia cells engineered to inducibly express the TFEBS211A transgene. Using a cut-off of fold change&gt;4 with q&lt;0.01, a total of 1152 genes were differentially regulated following the induction of TFEBS211A in HL60 cells. As expected, this included the robust induction of nearly all TFEB target genes associated with the autophagy-lysosome pathway, but also of STAT1, KLF4, KLF6, CEBPB, CSF1 and GATA2 genes that are necessary and/or sufficient to provoke terminal monocytic and granulocytic differentiation of AML cells. Surprisingly, among genes induced by TFEB in HL60 cells is IDH1, which catalyzes the production of α-ketoglutarate (α-KG), a required substrate of the TET family of dioxygenases that convert 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC). In particular, TFEBS211A expression provoked increases in levels of α-KG and significant increases in global levels of 5hmC in genomic DNA of HL60 leukemia cells both ex vivo and in vivo. Furthermore, TFEB-mediated induction of IDH1/2 mRNA and protein, and of IDH1 promoter activity, was antagonized by inducible expression of MYC. To assess the global effects of TFEB on 5mC/5hmC landscapes, we performed paired reduced representation bisulfite (BS)- and oxidation bisulfite (oxBS)-sequencing. As predicted, TFEBS211A induced both loss and gains of 5mC, but there were more losses (n = 722) than gains (n = 459) across all 22 chromosomes. Quite remarkably, and consistent with TFEB-provoked increases of 5hmC signals, TFEBS211A exclusively induced 5hmC gains (in a total of 863 genes), and 37% and 36% of these 5hmC gains occurred in promoter regions and CpG islands, and across all 22 chromosomes. Comparison of BS- and oxBS-seq versus RNA-seq analyses of HL60 cells expressing TFEB revealed significant changes in mRNA levels and concomitant differential changes in 5mC and 5hmC marks in KLF4, KLF6, STAT3, TP73, andFOXO1 that have pivotal roles in controlling myeloid cell differentiation and death. Collectively, these findings demonstrate that MYC suppresses TFEB expression and function in AML cells, and that TFEB functions as a tumor suppressor that provokes AML cell differentiation and death. Strikingly, these responses rely on epigenetic control, where TFEB directly induces the transcription of IDH1 and IDH2 to provoke global hydroxylation of 5-methylcytosine and the expression of genes that drive terminal differentiation and apoptosis. Thus, a MYC-TFEB-IDH1/2-TET2 circuit controls AML cell fate. Disclosures Murphy: Merck: Research Funding; Puma Biotech: Research Funding. Ballabio:CASMA Therapeutics: Other: Co-Founder. Kaufmann:Takeda Pharmaceuticals: Research Funding.
Beyond Physical Exercise: The Role of Nutrition, Gut Microbiota and Nutraceutical Supplementation in Reducing Age-Related Sarcopenia
Banerjee, Antara , Chabria, Yashna, Hari, Sruthi, Barbagallo, Mario , He, Fang , Radha, Rajesh Kanna Nandagopal , Balakrishnan, Baskar , Marotta, Francesco , Sriramulu, Sushmitha , Catanzaro, Roberto , Pathak, Surajit

Current Aging Science | February 4, 2021 | Volume: 14 | Issue: 2 | Pages: 94-104

10.2174/1874609814666210203090458 | PMID 33535963 Get It

Sarcopenia is a commonly prevalent geriatric condition mainly characterized by progressive loss of the skeletal muscle mass that results in noticeably reduced muscle strength and quality. Most of the geriatric population above 60 years of age are overweight, leading to the accumulation of fat in the muscles resulting in abated muscle function. The increased loss of muscle mass is associated with high rates of disability, poor motility, frailty and mortality. The excessive degeneration of muscles is now also being observed in middle-aged people. Therefore, geriatrics has recently started shifting towards the identification of early stages of the disability in order to expand the life span of the patient and reduce physical dependence. Recent findings have indicated that patients with increased physical activity are also affected by sarcopenia, therefore indicating the role of nutritional supplements to enhance muscle health which in turn helps to counteract sarcopenia. Various interventions with physical training have not provided substantial improvements to this disorder, thereby highlighting the crucial role of nutritional supplementation in enhancing muscle mass and strength. Nutritional supplementation has not only been shown to enhance the positive effects of physical interventions but also have a profound impact on the gut microbiome that has come forward as a key regulator of muscle mass and function. This brief review throws light upon the efficiency of nutrients and nutraceutical supplementation by highlighting their ancillary effects in physical interventions as well as improving the gut microbiome status in sarcopenic adults, thereby giving rise to a multimodal intervention for the treatment of sarcopenia.