1
|
Rodriguez R, Cañeque T, Baron L, Müller S, Carmona A, Colombeau L, Versini A, Sabatier M, Sampaio J, Mishima E, Picard-Bernes A, Solier S, Zheng J, Proneth B, Thoidingjam L, Gaillet C, Grimaud L, Fraser C, Szylo K, Bonnet C, Charafe E, Ginestier C, Santofimia P, Dusetti N, Iovanna J, Sa Cunha A, Pittau G, Hammel P, Tzanis D, Bonvalot S, Watson S, Stockwell B, Conrad M, Ubellacker J. Activation of lysosomal iron triggers ferroptosis in cancer. Res Sq 2024:rs.3.rs-4165774. [PMID: 38659936 PMCID: PMC11042398 DOI: 10.21203/rs.3.rs-4165774/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Iron catalyses the oxidation of lipids in biological membranes and promotes a form of cell death referred to as ferroptosis1-3. Identifying where this chemistry takes place in the cell can inform the design of drugs capable of inducing or inhibiting ferroptosis in various disease-relevant settings. Whereas genetic approaches have revealed underlying mechanisms of lipid peroxide detoxification1,4,5, small molecules can provide unparalleled spatiotemporal control of the chemistry at work6. Here, we show that the ferroptosis inhibitor liproxstatin-1 (Lip-1) exerts a protective activity by inactivating iron in lysosomes. Based on this, we designed the bifunctional compound fentomycin that targets phospholipids at the plasma membrane and activates iron in lysosomes upon endocytosis, promoting oxidative degradation of phospholipids and ferroptosis. Fentomycin effectively kills primary sarcoma and pancreatic ductal adenocarcinoma cells. It acts as a lipolysis-targeting chimera (LIPTAC), preferentially targeting iron-rich CD44high cell-subpopulations7,8 associated with the metastatic disease and drug resistance9,10. Furthermore, we demonstrate that fentomycin also depletes CD44high cells in vivo and reduces intranodal tumour growth in an immunocompetent murine model of breast cancer metastasis. These data demonstrate that lysosomal iron triggers ferroptosis and that lysosomal iron redox chemistry can be exploited for therapeutic benefits.
Collapse
Affiliation(s)
| | | | | | - Sebastian Müller
- Institut Curie, CNRS, INSERM, PSL Research University, Equipe Labellisée Ligue Contre le Cancer
| | | | | | | | | | | | - Eikan Mishima
- Institute of Metabolism and Cell Death, Molecular Targets & Therapeutics Center, Helmholtz Munich, Neuherberg, Germany
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nelson Dusetti
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille Université, Marseille, France
| | - Juan Iovanna
- Centre de Recherche en cancerelogie de Marseille
| | | | | | | | | | | | | | | | - Marcus Conrad
- Institute of Metabolism and Cell Death, Molecular Targets & Therapeutics Center, Helmholtz Munich, Neuherberg, Germany
| | | |
Collapse
|
2
|
Wallach I, Bernard D, Nguyen K, Ho G, Morrison A, Stecula A, Rosnik A, O’Sullivan AM, Davtyan A, Samudio B, Thomas B, Worley B, Butler B, Laggner C, Thayer D, Moharreri E, Friedland G, Truong H, van den Bedem H, Ng HL, Stafford K, Sarangapani K, Giesler K, Ngo L, Mysinger M, Ahmed M, Anthis NJ, Henriksen N, Gniewek P, Eckert S, de Oliveira S, Suterwala S, PrasadPrasad SVK, Shek S, Contreras S, Hare S, Palazzo T, O’Brien TE, Van Grack T, Williams T, Chern TR, Kenyon V, Lee AH, Cann AB, Bergman B, Anderson BM, Cox BD, Warrington JM, Sorenson JM, Goldenberg JM, Young MA, DeHaan N, Pemberton RP, Schroedl S, Abramyan TM, Gupta T, Mysore V, Presser AG, Ferrando AA, Andricopulo AD, Ghosh A, Ayachi AG, Mushtaq A, Shaqra AM, Toh AKL, Smrcka AV, Ciccia A, de Oliveira AS, Sverzhinsky A, de Sousa AM, Agoulnik AI, Kushnir A, Freiberg AN, Statsyuk AV, Gingras AR, Degterev A, Tomilov A, Vrielink A, Garaeva AA, Bryant-Friedrich A, Caflisch A, Patel AK, Rangarajan AV, Matheeussen A, Battistoni A, Caporali A, Chini A, Ilari A, Mattevi A, Foote AT, Trabocchi A, Stahl A, Herr AB, Berti A, Freywald A, Reidenbach AG, Lam A, Cuddihy AR, White A, Taglialatela A, Ojha AK, Cathcart AM, Motyl AAL, Borowska A, D’Antuono A, Hirsch AKH, Porcelli AM, Minakova A, Montanaro A, Müller A, Fiorillo A, Virtanen A, O’Donoghue AJ, Del Rio Flores A, Garmendia AE, Pineda-Lucena A, Panganiban AT, Samantha A, Chatterjee AK, Haas AL, Paparella AS, John ALS, Prince A, ElSheikh A, Apfel AM, Colomba A, O’Dea A, Diallo BN, Ribeiro BMRM, Bailey-Elkin BA, Edelman BL, Liou B, Perry B, Chua BSK, Kováts B, Englinger B, Balakrishnan B, Gong B, Agianian B, Pressly B, Salas BPM, Duggan BM, Geisbrecht BV, Dymock BW, Morten BC, Hammock BD, Mota BEF, Dickinson BC, Fraser C, Lempicki C, Novina CD, Torner C, Ballatore C, Bon C, Chapman CJ, Partch CL, Chaton CT, Huang C, Yang CY, Kahler CM, Karan C, Keller C, Dieck CL, Huimei C, Liu C, Peltier C, Mantri CK, Kemet CM, Müller CE, Weber C, Zeina CM, Muli CS, Morisseau C, Alkan C, Reglero C, Loy CA, Wilson CM, Myhr C, Arrigoni C, Paulino C, Santiago C, Luo D, Tumes DJ, Keedy DA, Lawrence DA, Chen D, Manor D, Trader DJ, Hildeman DA, Drewry DH, Dowling DJ, Hosfield DJ, Smith DM, Moreira D, Siderovski DP, Shum D, Krist DT, Riches DWH, Ferraris DM, Anderson DH, Coombe DR, Welsbie DS, Hu D, Ortiz D, Alramadhani D, Zhang D, Chaudhuri D, Slotboom DJ, Ronning DR, Lee D, Dirksen D, Shoue DA, Zochodne DW, Krishnamurthy D, Duncan D, Glubb DM, Gelardi ELM, Hsiao EC, Lynn EG, Silva EB, Aguilera E, Lenci E, Abraham ET, Lama E, Mameli E, Leung E, Christensen EM, Mason ER, Petretto E, Trakhtenberg EF, Rubin EJ, Strauss E, Thompson EW, Cione E, Lisabeth EM, Fan E, Kroon EG, Jo E, García-Cuesta EM, Glukhov E, Gavathiotis E, Yu F, Xiang F, Leng F, Wang F, Ingoglia F, van den Akker F, Borriello F, Vizeacoumar FJ, Luh F, Buckner FS, Vizeacoumar FS, Bdira FB, Svensson F, Rodriguez GM, Bognár G, Lembo G, Zhang G, Dempsey G, Eitzen G, Mayer G, Greene GL, Garcia GA, Lukacs GL, Prikler G, Parico GCG, Colotti G, De Keulenaer G, Cortopassi G, Roti G, Girolimetti G, Fiermonte G, Gasparre G, Leuzzi G, Dahal G, Michlewski G, Conn GL, Stuchbury GD, Bowman GR, Popowicz GM, Veit G, de Souza GE, Akk G, Caljon G, Alvarez G, Rucinski G, Lee G, Cildir G, Li H, Breton HE, Jafar-Nejad H, Zhou H, Moore HP, Tilford H, Yuan H, Shim H, Wulff H, Hoppe H, Chaytow H, Tam HK, Van Remmen H, Xu H, Debonsi HM, Lieberman HB, Jung H, Fan HY, Feng H, Zhou H, Kim HJ, Greig IR, Caliandro I, Corvo I, Arozarena I, Mungrue IN, Verhamme IM, Qureshi IA, Lotsaris I, Cakir I, Perry JJP, Kwiatkowski J, Boorman J, Ferreira J, Fries J, Kratz JM, Miner J, Siqueira-Neto JL, Granneman JG, Ng J, Shorter J, Voss JH, Gebauer JM, Chuah J, Mousa JJ, Maynes JT, Evans JD, Dickhout J, MacKeigan JP, Jossart JN, Zhou J, Lin J, Xu J, Wang J, Zhu J, Liao J, Xu J, Zhao J, Lin J, Lee J, Reis J, Stetefeld J, Bruning JB, Bruning JB, Coles JG, Tanner JJ, Pascal JM, So J, Pederick JL, Costoya JA, Rayman JB, Maciag JJ, Nasburg JA, Gruber JJ, Finkelstein JM, Watkins J, Rodríguez-Frade JM, Arias JAS, Lasarte JJ, Oyarzabal J, Milosavljevic J, Cools J, Lescar J, Bogomolovas J, Wang J, Kee JM, Kee JM, Liao J, Sistla JC, Abrahão JS, Sishtla K, Francisco KR, Hansen KB, Molyneaux KA, Cunningham KA, Martin KR, Gadar K, Ojo KK, Wong KS, Wentworth KL, Lai K, Lobb KA, Hopkins KM, Parang K, Machaca K, Pham K, Ghilarducci K, Sugamori KS, McManus KJ, Musta K, Faller KME, Nagamori K, Mostert KJ, Korotkov KV, Liu K, Smith KS, Sarosiek K, Rohde KH, Kim KK, Lee KH, Pusztai L, Lehtiö L, Haupt LM, Cowen LE, Byrne LJ, Su L, Wert-Lamas L, Puchades-Carrasco L, Chen L, Malkas LH, Zhuo L, Hedstrom L, Hedstrom L, Walensky LD, Antonelli L, Iommarini L, Whitesell L, Randall LM, Fathallah MD, Nagai MH, Kilkenny ML, Ben-Johny M, Lussier MP, Windisch MP, Lolicato M, Lolli ML, Vleminckx M, Caroleo MC, Macias MJ, Valli M, Barghash MM, Mellado M, Tye MA, Wilson MA, Hannink M, Ashton MR, Cerna MVC, Giorgis M, Safo MK, Maurice MS, McDowell MA, Pasquali M, Mehedi M, Serafim MSM, Soellner MB, Alteen MG, Champion MM, Skorodinsky M, O’Mara ML, Bedi M, Rizzi M, Levin M, Mowat M, Jackson MR, Paige M, Al-Yozbaki M, Giardini MA, Maksimainen MM, De Luise M, Hussain MS, Christodoulides M, Stec N, Zelinskaya N, Van Pelt N, Merrill NM, Singh N, Kootstra NA, Singh N, Gandhi NS, Chan NL, Trinh NM, Schneider NO, Matovic N, Horstmann N, Longo N, Bharambe N, Rouzbeh N, Mahmoodi N, Gumede NJ, Anastasio NC, Khalaf NB, Rabal O, Kandror O, Escaffre O, Silvennoinen O, Bishop OT, Iglesias P, Sobrado P, Chuong P, O’Connell P, Martin-Malpartida P, Mellor P, Fish PV, Moreira POL, Zhou P, Liu P, Liu P, Wu P, Agogo-Mawuli P, Jones PL, Ngoi P, Toogood P, Ip P, von Hundelshausen P, Lee PH, Rowswell-Turner RB, Balaña-Fouce R, Rocha REO, Guido RVC, Ferreira RS, Agrawal RK, Harijan RK, Ramachandran R, Verma R, Singh RK, Tiwari RK, Mazitschek R, Koppisetti RK, Dame RT, Douville RN, Austin RC, Taylor RE, Moore RG, Ebright RH, Angell RM, Yan R, Kejriwal R, Batey RA, Blelloch R, Vandenberg RJ, Hickey RJ, Kelm RJ, Lake RJ, Bradley RK, Blumenthal RM, Solano R, Gierse RM, Viola RE, McCarthy RR, Reguera RM, Uribe RV, do Monte-Neto RL, Gorgoglione R, Cullinane RT, Katyal S, Hossain S, Phadke S, Shelburne SA, Geden SE, Johannsen S, Wazir S, Legare S, Landfear SM, Radhakrishnan SK, Ammendola S, Dzhumaev S, Seo SY, Li S, Zhou S, Chu S, Chauhan S, Maruta S, Ashkar SR, Shyng SL, Conticello SG, Buroni S, Garavaglia S, White SJ, Zhu S, Tsimbalyuk S, Chadni SH, Byun SY, Park S, Xu SQ, Banerjee S, Zahler S, Espinoza S, Gustincich S, Sainas S, Celano SL, Capuzzi SJ, Waggoner SN, Poirier S, Olson SH, Marx SO, Van Doren SR, Sarilla S, Brady-Kalnay SM, Dallman S, Azeem SM, Teramoto T, Mehlman T, Swart T, Abaffy T, Akopian T, Haikarainen T, Moreda TL, Ikegami T, Teixeira TR, Jayasinghe TD, Gillingwater TH, Kampourakis T, Richardson TI, Herdendorf TJ, Kotzé TJ, O’Meara TR, Corson TW, Hermle T, Ogunwa TH, Lan T, Su T, Banjo T, O’Mara TA, Chou T, Chou TF, Baumann U, Desai UR, Pai VP, Thai VC, Tandon V, Banerji V, Robinson VL, Gunasekharan V, Namasivayam V, Segers VFM, Maranda V, Dolce V, Maltarollo VG, Scoffone VC, Woods VA, Ronchi VP, Van Hung Le V, Clayton WB, Lowther WT, Houry WA, Li W, Tang W, Zhang W, Van Voorhis WC, Donaldson WA, Hahn WC, Kerr WG, Gerwick WH, Bradshaw WJ, Foong WE, Blanchet X, Wu X, Lu X, Qi X, Xu X, Yu X, Qin X, Wang X, Yuan X, Zhang X, Zhang YJ, Hu Y, Aldhamen YA, Chen Y, Li Y, Sun Y, Zhu Y, Gupta YK, Pérez-Pertejo Y, Li Y, Tang Y, He Y, Tse-Dinh YC, Sidorova YA, Yen Y, Li Y, Frangos ZJ, Chung Z, Su Z, Wang Z, Zhang Z, Liu Z, Inde Z, Artía Z, Heifets A. AI is a viable alternative to high throughput screening: a 318-target study. Sci Rep 2024; 14:7526. [PMID: 38565852 PMCID: PMC10987645 DOI: 10.1038/s41598-024-54655-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 02/15/2024] [Indexed: 04/04/2024] Open
Abstract
High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery.
Collapse
|
3
|
Skierszkan EK, Carey SK, Jackson SI, Fellwock M, Fraser C, Lindsay MBJ. Seasonal controls on stream metal(loid) signatures in mountainous discontinuous permafrost. Sci Total Environ 2024; 908:167999. [PMID: 37914137 DOI: 10.1016/j.scitotenv.2023.167999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/10/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
We assess physical and chemical processes driving seasonal fluctuations in dissolved (<0.45 μm) trace metal(loid) concentrations in subarctic streams in discontinuous permafrost. Our analysis integrates multiple years of stream hydrometric and geochemical data with geochemical analyses of bedrock, permafrost, and active-layer samples. Three principal flow regimes govern stream hydrology: winter baseflow, spring freshet, and summer high flows. Metal(oid) concentrations in streams respond seasonally to these flow regimes. Baseflows are dominated by discharge of circumneutral-pH groundwater draining fractured bedrock. This discharge acts as a source of metals found as oxyanions or neutrally charged complexes, such as uranium and molybdenum. High stream flows are associated with peak concentrations of aluminium, cobalt, copper, iron, nickel, titanium, and vanadium. Concentrations of the metal cations aluminium, cobalt, copper, nickel, and titanium peak during freshet, when infiltration of snowmelt through organic-rich and moderately acidic soils favors their complexation with dissolved organic carbon. Concentrations of vanadium peak during summer high flows, likely reflecting flow through mineral soils in the active layer and involving reductive dissolution of iron(III)-(oxyhydr)oxides. The seasonal variation of arsenic concentrations is complex; at the majority of catchments it is sourced from shallow flowpaths in the active layer, but it can also be locally associated with discharge of deeper bedrock groundwater, which is spatially constrained by the presence of permafrost. Based on our analysis, we present a conceptual model that describes the flowpaths and processes governing metal(loid) release to streams in discontinuous permafrost. This model provides a framework upon which we consider changes in metal(loid) export into water resources in the context of thawing permafrost.
Collapse
Affiliation(s)
- E K Skierszkan
- Department of Geological Sciences, University of Saskatchewan, 114 Geological Sciences Place, Saskatoon S7N 5E2, Canada.
| | - S K Carey
- School of Earth, Environment & Society, McMaster University, 1280 Main Street West, Hamilton L8S 4K1, Canada
| | - S I Jackson
- Lorax Environmental Services Ltd., 2289 Burrard Street, Vancouver V6J 3H9, Canada
| | - M Fellwock
- Department of Geological Sciences, University of Saskatchewan, 114 Geological Sciences Place, Saskatoon S7N 5E2, Canada
| | - C Fraser
- Lorax Environmental Services Ltd., 2289 Burrard Street, Vancouver V6J 3H9, Canada
| | - M B J Lindsay
- Department of Geological Sciences, University of Saskatchewan, 114 Geological Sciences Place, Saskatoon S7N 5E2, Canada
| |
Collapse
|
4
|
Singh R, Yu S, Osman M, Inde Z, Fraser C, Cleveland AH, Almanzar N, Lim CB, Joshi GN, Spetz J, Qin X, Toprani SM, Nagel Z, Hocking MC, Cormack RA, Yock TI, Miller JW, Yuan ZM, Gershon T, Sarosiek KA. Radiotherapy-Induced Neurocognitive Impairment Is Driven by Heightened Apoptotic Priming in Early Life and Prevented by Blocking BAX. Cancer Res 2023; 83:3442-3461. [PMID: 37470810 PMCID: PMC10570680 DOI: 10.1158/0008-5472.can-22-1337] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 04/23/2023] [Accepted: 07/17/2023] [Indexed: 07/21/2023]
Abstract
Although external beam radiotherapy (xRT) is commonly used to treat central nervous system (CNS) tumors in patients of all ages, young children treated with xRT frequently experience life-altering and dose-limiting neurocognitive impairment (NI) while adults do not. The lack of understanding of mechanisms responsible for these differences has impeded the development of neuroprotective treatments. Using a newly developed mouse model of xRT-induced NI, we found that neurocognitive function is impaired by ionizing radiation in a dose- and age-dependent manner, with the youngest animals being most affected. Histologic analysis revealed xRT-driven neuronal degeneration and cell death in neurogenic brain regions in young animals but not adults. BH3 profiling showed that neural stem and progenitor cells, neurons, and astrocytes in young mice are highly primed for apoptosis, rendering them hypersensitive to genotoxic damage. Analysis of single-cell RNA sequencing data revealed that neural cell vulnerability stems from heightened expression of proapoptotic genes including BAX, which is associated with developmental and mitogenic signaling by MYC. xRT induced apoptosis in primed neural cells by triggering a p53- and PUMA-initiated, proapoptotic feedback loop requiring cleavage of BID and culminating in BAX oligomerization and caspase activation. Notably, loss of BAX protected against apoptosis induced by proapoptotic signaling in vitro and prevented xRT-induced apoptosis in neural cells in vivo as well as neurocognitive sequelae. On the basis of these findings, preventing xRT-induced apoptosis specifically in immature neural cells by blocking BAX, BIM, or BID via direct or upstream mechanisms is expected to ameliorate NI in pediatric patients with CNS tumor. SIGNIFICANCE Age- and differentiation-dependent apoptotic priming plays a pivotal role in driving radiotherapy-induced neurocognitive impairment and can be targeted for neuroprotection in pediatric patients.
Collapse
Affiliation(s)
- Rumani Singh
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Stacey Yu
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Marwa Osman
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Zintis Inde
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Cameron Fraser
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Abigail H. Cleveland
- Department of Neurology, University of North Carolina, Chapel Hill, North Carolina
- Lineberger Comprehensive Cancer Center, North Carolina Cancer Hospital, Chapel Hill, North Carolina
| | - Nicole Almanzar
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Chuan Bian Lim
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Gaurav N. Joshi
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Johan Spetz
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xingping Qin
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Sneh M. Toprani
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Zachary Nagel
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Matthew C. Hocking
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
- Cancer Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Robert A. Cormack
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Torunn I. Yock
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Pediatric Radiation Oncology, Francis H. Burr Proton Therapy Center, Massachusetts General Hospital, Boston, Massachusetts
| | - Jeffrey W. Miller
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Zhi-Min Yuan
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Timothy Gershon
- Department of Neurology, University of North Carolina, Chapel Hill, North Carolina
- Lineberger Comprehensive Cancer Center, North Carolina Cancer Hospital, Chapel Hill, North Carolina
| | - Kristopher A. Sarosiek
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute/Harvard Cancer Center, Boston, Massachusetts
| |
Collapse
|
5
|
Owen BM, Phie J, Huynh J, Needham S, Fraser C. Evaluation of quantitative biomarkers of aging in human PBMCs. Front Aging 2023; 4:1260502. [PMID: 37780865 PMCID: PMC10540680 DOI: 10.3389/fragi.2023.1260502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 09/01/2023] [Indexed: 10/03/2023]
Abstract
Functional decline with age contributes significantly to the burden of disease in developed countries. There is growing interest in the development of therapeutic interventions which slow or even reverse aging. Time and cost constraints prohibit the testing of a large number of interventions for health and lifespan extension in model organisms. Cell-based models of aging could enable high throughput testing of potential interventions. Despite extensive reports in the literature of cell properties that correlate with donor age, few are robustly observed across different laboratories. This casts doubt on the extent that aging signatures are captured in cultured cells. We tested molecular changes previously reported to correlate with donor age in peripheral blood mononuclear cells (PBMCs) and evaluated their suitability for inclusion in a panel of functional aging measures. The tested measures spanned several pathways implicated in aging including epigenetic changes, apoptosis, proteostasis, and intracellular communication. Surprisingly, only two markers correlated with donor age. DNA methylation age accurately predicted donor age confirming this is a robust aging biomarker. Additionally, the apoptotic marker CD95 correlated with donor age but only within subsets of PBMCs. To demonstrate cellular rejuvenation in response to a treatment will require integration of multiple read-outs of cell function. However, building a panel of measures to detect aging in cells is challenging and further research is needed to identify robust predictors of age in humans.
Collapse
|
6
|
Qin X, Fraser C, Presser A, Spetz JKE, Yu SJ, Bradshaw GA, Kalocsay M, Rueda BR, Moldoveanu T, Sarosiek KA. Abstract 5731: Apoptosis Inducing Agent 1 enhances cancer therapy-induced apoptosis by direct interaction with BAX and BAK. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-5731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Many of the most effective anti-cancer therapies induce apoptosis in cancer cells by damaging DNA. Even when effective at eradicating primary cancers, DNA-damaging anti-cancer agents cause mutations that can lead to the development of secondary cancers. Furthermore, DNA damage responses are dependent on wild-type p53, which is mutated in over 50% of cancers and causes resistance to therapies. Fortunately, many p53 mutant cancers continue to express high levels of the pro-apoptotic, pore-forming proteins BAX and BAK and are consequently “primed for apoptosis.” Primed cells are highly sensitive to pro-apoptotic signals and this vulnerability can be exploited using inhibitors of pro-survival BCL-2 family proteins such as the BCL-2 inhibitor ABT-199, which has been successful as therapy for chronic lymphocytic and acute myeloid leukemias (AML). Furthermore, most irreplaceable cells within healthy tissues are apoptosis resistant and express low levels of BAX and BAK. We therefore hypothesized that direct activators of BAX or BAK could be effective single-agent therapies for primed cancers and chemo-/radio-sensitizers for unprimed cancers. Using WT versus BAX -/- BAK -/- HeLa cells, we performed a high-throughput screen of nearly 100,000 compounds to identify small molecules that could directly activate BAX or BAK. 196 compounds were identified as hits and multiple orthogonal validation studies identified Apoptosis Inducing Agent 1 (AIA1) as the most specific and potent putative activator of BAX and BAK. Further validation studies demonstrated that AIA1 directly induces cytochrome c release from mitochondria in a BAX/BAK dependent manner and strongly enhances BIM-mediated activation of BAX and BAK and permeabilization of liposomes. Single-agent AIA treatment triggers apoptotic cell death in a broad panel of cancer cell lines and also sensitizes cancer cells to chemotherapeutic agents and especially BH3 mimetics targeting pro-survival BCL-2 family proteins. Importantly, AIA1 sensitizes ovarian cancer cells to BCL-XL inhibitors and AML cells to BCL-2 inhibitors regardless of p53 status. In vivo, AIA1 suppresses tumor growth and prolongs overall survival in both ovarian cancer and AML xenograft models without causing weight loss, thrombocytopenia or leukopenia. Notably, unprimed cancer cells that don’t immediately undergo apoptosis in response to single-agent AIA1 treatment upregulate expression of BAX and BAK, pro-survival proteins (BCL-XL, BCL-2, MCL-1) and pro-apoptotic proteins (BIM, BID, PUMA, Noxa) to produce a more highly primed apoptosis pathway and setting the stage for increased sensitivity to BH3 mimetics. Based on these findings, AIA1 may exploit and induce apoptotic vulnerabilities in cancers in a p53-independent manner and represent a safer strategy to target primed cancer cells while eliminating the potential for secondary malignancies and p53-mediated resistance.
Citation Format: Xingping Qin, Cameron Fraser, Adam Presser, Johan KE Spetz, Stacey J. Yu, Gary A. Bradshaw, Marian Kalocsay, Bo R. Rueda, Tudor Moldoveanu, Kristopher A. Sarosiek. Apoptosis Inducing Agent 1 enhances cancer therapy-induced apoptosis by direct interaction with BAX and BAK. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5731.
Collapse
Affiliation(s)
- Xingping Qin
- 1Harvard T.H. Chan School of Public Health, Boston, MA
| | | | - Adam Presser
- 1Harvard T.H. Chan School of Public Health, Boston, MA
| | | | - Stacey J. Yu
- 1Harvard T.H. Chan School of Public Health, Boston, MA
| | | | | | - Bo R. Rueda
- 3Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, MA
| | | | | |
Collapse
|
7
|
Fraser C, Qin X, Shimada K, Spetz J, Florido MH, Singh R, Yu S, Presser A, Inde Z, Joshi G, Guerriero J, Sanchez-Rivera F, Karst A, Lopez O, Li C, Winter P, Yue Y, Sorger P, Cheng J, Lossos I, Hata A, Drapkin R, Palmer A, Decaprio J, Thakuria M, Yoon C, Matulonis U, Meyerson M, Stover E, Cardona D, Wood K, Sarosiek S, Kirsch D, Mancias J, Cherniack A, Letai A, Sarosiek K. Abstract 6130: Cancer sensitivity to therapy is constrained by apoptosis regulation in cells of origin. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-6130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Many chemotherapeutic agents target cellular components or processes that are present in all cancers, yet clinical responses to these agents vary greatly between cancer types and even patient age - the basis for these broad-scale differences are unclear. The vast majority of targeted and cytotoxic cancer therapies including ionizing radiation produce pro-apoptotic signaling in exposed cells, suggesting that the mitochondrial apoptosis sensitivity of cancer cells could act as a central signaling “node” to broadly impact therapy outcomes. To test this, we used BH3 profiling and complementary chemosensitivity assays to analyze hundreds of primary cancer specimens across twelve major cancer types. We find that cancers with typically favorable outcomes including certain hematologic malignancies, testicular cancer, and some pediatric cancers contain mitochondria that are highly primed for apoptosis, which renders them hypersensitive to cytotoxic as well as targeted agents and radiation therapy. Priming levels in many epithelial cancers including ovarian cancer and non-small cell lung cancer are highly heterogeneous, mirroring their variability in clinical outcomes. Finally, many tumor types that are typically chemoresistant including adult soft tissue sarcomas, hepatocellular carcinoma and pancreatic cancer are almost completely resistant to pro-apoptotic signaling. By analyzing in vitro and in vivo pancreatic, ovarian, hepatocellular and sarcoma tumorigenesis models, we find that apoptotic priming generally increases during neoplastic transformation, in part due to consistent upregulation of pro-apoptotic proteins BAX and BAK. However, the level of apoptotic priming in cancer cells is constrained by the baseline apoptosis sensitivity of normal cells prior to transformation. Remarkably, we find that apoptotic priming is dynamically regulated by cell lineage and differentiation state but can also be modulated by oncogenes. For instance, Myc activation typically increases apoptotic priming while activation of mutant Ras signaling decreases it - these changes in priming alter the chemosensitivity of cancer cells. Finally, we use inducible mouse tumor models to demonstrate that neoplastic transformation of cells from developmentally immature tissues yields pediatric tumors that are more primed for apoptosis than equivalent tumors arising in adults. This difference in priming causes pediatric tumors to be more sensitive to front-line therapies and BH3 mimetics targeting pro-survival BCL-2 family proteins in vitro and in vivo. Thus, lineage-determined regulation of apoptosis prior to and during neoplastic transformation leads to broad-scale differences in cancer cell chemosensitivity and can be exploited therapeutically by targeting BCL-2 family proteins.
Citation Format: Cameron Fraser, Xingping Qin, Kenichi Shimada, Johan Spetz, Mary Heather Florido, Rumani Singh, Stacey Yu, Adam Presser, Zintis Inde, Gaurav Joshi, Jennifer Guerriero, Francisco Sanchez-Rivera, Alison Karst, Omar Lopez, Chendi Li, Peter Winter, Ying Yue, Peter Sorger, Jingwei Cheng, Izidore Lossos, Aaron Hata, Ronny Drapkin, Adam Palmer, James Decaprio, Manisha Thakuria, Charles Yoon, Ursula Matulonis, Matthew Meyerson, Elizabeth Stover, Diana Cardona, Kris Wood, Shayna Sarosiek, David Kirsch, Joseph Mancias, Andrew Cherniack, Anthony Letai, Kristopher Sarosiek. Cancer sensitivity to therapy is constrained by apoptosis regulation in cells of origin. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6130.
Collapse
Affiliation(s)
| | | | | | - Johan Spetz
- 1Harvard School of Public Health, Boston, MA
| | | | | | - Stacey Yu
- 1Harvard School of Public Health, Boston, MA
| | | | - Zintis Inde
- 1Harvard School of Public Health, Boston, MA
| | | | | | | | | | | | - Chendi Li
- 7Massachusetts General Hospital, Boston, MA
| | - Peter Winter
- 4Massachusetts Institute of Technology, Boston, MA
| | - Ying Yue
- 2Harvard Medical School, Boston, MA
| | | | | | - Izidore Lossos
- 9University of Miami Miller School of Medicine, Miami, FL
| | - Aaron Hata
- 7Massachusetts General Hospital, Boston, MA
| | - Ronny Drapkin
- 10University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Adam Palmer
- 11University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
8
|
Jeyakumar S, Nguyen H, Robson D, Olsen N, Schnegg B, MacDonald P, Fraser C, Liew G, Hayward C, Muthiah K. Retinal Microvascular Remodelling Predicts Adverse Events in Continuous-Flow Left Ventricular Assist Device Supported Patients. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
|
9
|
Barnett T, Selfridge M, Drost A, Guarasci K, Lundgren K, Fraser C, Boothman F. A11 NEXT STEPS IN MICRO-ELIMINATION: PEER POINT OF CARE HEPATITIS C TESTING IN VICTORIA, BRITISH COLUMBIA. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991089 DOI: 10.1093/jcag/gwac036.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background Canada is currently on target to reach the 2030 WHO goal of hepatitis C virus (HCV) elimination. Continued high rates of treatment initiation are required to meet this goal. People who use drugs (PWUD), account for the majority of new HCV cases in BC and continue to have many barriers to accessing DAA therapies, despite demonstrated high SVR rates in clinical trials. Improved elimination efforts including innovative outreach testing and treatment with this population are essential. Novel models have proven successful to engage PWUD in HCV therapy with a simplified, task-shifted cascade of care. Peer-based testing and support models have been piloted in other communities and may help connect to marginalized populations. People with lived and living experience of HCV treatment and drug use (peers) are seen as trusted sources of knowledge. Peers can vouch for the efficacy, minimal side effects and ease of HCV treatment that now exist in the current DAA era. Purpose The Peer HCV Point of Care (POC) testing project developed within our long standing nurse-led HCV treatment program seeks to determine whether an outreach peer model of HCV POC testing can be successful in Victoria, BC. The peer program focuses on finding populations who use drugs without regular access to primary care still living with HCV. This task shifting approach is the next phase of local micro-elimination efforts and has not been attempted previously. Method Six peers have been trained to provide HCV POC antibody and dried blood spot RNA tests. Our goals are to pilot the program, learn from our experiences, specifically from the direct input of peers to develop effective and supportive testing and treatment strategies. Peers have worked with nursing and research staff in two-hour blocks and are paid $26 per hour for these shifts. They provide testing at local supportive housing, shelters, social service sites and special events. Each client tested is offered a $10 incentive. Our peers are able to offer both POC antibody testing and, for those who have been exposed to HCV (currently infected, treated or cleared), RNA testing by dried blood spot. Serology by nursing from our mobile outreach van is collected as needed. Result(s) Within the first 4 months of the project peers and staff tested 304 people: 251 people with HCV POC antibody tests (227 negative and 24 positive results), 41 people with HCV dried blood spot RNA tests and 28 with nurse RNA serology. To date 12 people tested RNA+ (11 with previously unknown HCV have active RNA that require treatment), 7 people have been started on treatment. Conclusion(s) This innovative and novel approach to HCV therapy in PWUD was able to successfully use a peer-based approach to find people with limited connection to primary health care to test and treat HCV. We still have much to learn from the valuable knowledge, established relationships and novel perspectives of peers in our efforts to reduce barriers and reach PWUD and others who remain untreated. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest T. Barnett Grant / Research support from: AbbVie, Gilead, Merck, M. Selfridge Grant / Research support from: Kirby Institute, AbbVie, Gilead, Merck, ViiV, A. Drost Grant / Research support from: Abbvie, Gilead, Merck, K. Guarasci Grant / Research support from: Gliead, Abbvie, Merck , K. Lundgren Grant / Research support from: Abbvie, Gilead, Merck , C. Fraser Grant / Research support from: Abbvie, Gilead, Merck, Kirby Institute, ViiV, F. Boothman : None Declared
Collapse
Affiliation(s)
| | - M Selfridge
- Cool Aid Community Health Centre,Canadian Institute of Substance Use Research, University of Victoria, Victoria
| | - A Drost
- Cool Aid Community Health Centre
| | | | | | - C Fraser
- Cool Aid Community Health Centre,Department of Family Medicine, University of Victoria, Vancouver , Canada
| | | |
Collapse
|
10
|
Cavanagh C, Parry S, Fraser C, Dominiak BC. An acute case of Pimelea elongata toxicity in cattle in western New South Wales. Aust Vet J 2023; 101:35-40. [PMID: 36345985 DOI: 10.1111/avj.13216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 11/10/2022]
Abstract
In May 2019, 96 cattle died from Pimelea toxicity in a period of 19 days after potential exposure, with the first deaths occurring within 5 days. After examining the circumstances, we suspect that several factors contributed to the deaths. These included that recently purchased stock and transported had access to flooded land containing Pimelea elongata. This weed species contains simplexin and 18 other compounds. Roots, flowers and seeds are significantly more toxic than the stem, branches and leaves. We suspect that thirsty and hungry stock consumed seed and roots from flooded pastures and consumed lethal doses of simplexin. Blood tests were not good indicators of the conditions. Management strategies are suggested.
Collapse
Affiliation(s)
- C Cavanagh
- Western Local Land Services, now Kidman Way Veterinary Surgery, Bourke, New South Wales, 2840, Australia
| | - S Parry
- NorthWest Vets, Coonamble, New South Wales, 2829, Australia
| | - C Fraser
- NSW Department of Primary Industries, The Ian Armstrong Building, Orange, New South Wales, 2800, Australia
| | - B C Dominiak
- NSW Department of Primary Industries, The Ian Armstrong Building, Orange, New South Wales, 2800, Australia
| |
Collapse
|
11
|
Grubb T, Maganti S, Krill-Burger JM, Fraser C, Stransky L, Radivoyevitch T, Sarosiek KA, Vazquez F, Kaelin WG, Chakraborty AA. A Mesenchymal Tumor Cell State Confers Increased Dependency on the BCL-XL Antiapoptotic Protein in Kidney Cancer. Clin Cancer Res 2022; 28:4689-4701. [PMID: 35776130 PMCID: PMC9633392 DOI: 10.1158/1078-0432.ccr-22-0669] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/07/2022] [Accepted: 06/28/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE Advanced/metastatic forms of clear-cell renal cell carcinomas (ccRCC) have limited therapeutic options. Genome-wide genetic screens have identified cellular dependencies in many cancers. Using the Broad Institute/Novartis combined short hairpin RNA (shRNA) dataset, and cross-validation with the CRISPR/Cas9 DepMap (21Q3) dataset, we sought therapeutically actionable dependencies in kidney lineage cancers. EXPERIMENTAL DESIGN We identified preferential genetic dependencies in kidney cancer cells versus other lineages. BCL2L1, which encodes the BCL-XL antiapoptotic protein, scored as the top actionable dependency. We validated this finding using genetic and pharmacologic tools in a panel of ccRCC cell lines. Select BCL-XL-dependent (versus independent) cell lines were then transcriptionally profiled to identify biomarkers and mechanistic drivers of BCL-XL dependence. Cell-based studies (in vitro and in vivo) and clinical validations were used to address physiologic relevance. RESULTS Inactivation of BCL-XL, but not BCL-2, led to fitness defects in renal cancer cells, and sensitized them to chemotherapeutics. Transcriptomic profiling identified a "BCL-XL dependency" signature, including an elevated mesenchymal gene signature. A mesenchymal state was both necessary and sufficient to confer increased BCL-XL dependence. The "BCL-XL dependency" signature was observed in approximately 30% of human ccRCCs, which were also associated with worse clinical outcomes. Finally, an orally bioavailable BCL-XL inhibitor, A-1331852, showed antitumor efficacy in vivo. CONCLUSIONS Our studies uncovered an unexpected link between cell state and BCL-XL dependence in ccRCC. Therapeutic agents that specifically target BCL-XL are available. Our work justifies testing the utility of BCL-XL blockade to target, likely, a clinically aggressive subset of human kidney cancers. See related commentary by Wang et al., p. 4600.
Collapse
Affiliation(s)
- Treg Grubb
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.,Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Smruthi Maganti
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.,Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA
| | | | - Cameron Fraser
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.,Molecular and Integrative Physiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Laura Stransky
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Tomas Radivoyevitch
- Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Kristopher A. Sarosiek
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.,Molecular and Integrative Physiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - William G. Kaelin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02215, USA.,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.,Corresponding Authors: William G. Kaelin, Jr., Dana-Farber Cancer Institute and Harvard Medical School, 450 Brookline Ave, Boston, MA 02115. . Phone: 617-632-3975; Abhishek A. Chakraborty, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195. . Phone: 216-445-6620
| | - Abhishek A. Chakraborty
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.,Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA.,Corresponding Authors: William G. Kaelin, Jr., Dana-Farber Cancer Institute and Harvard Medical School, 450 Brookline Ave, Boston, MA 02115. . Phone: 617-632-3975; Abhishek A. Chakraborty, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195. . Phone: 216-445-6620
| |
Collapse
|
12
|
McNamara MC, Hosios AM, Torrence ME, Zhao T, Fraser C, Wilkinson M, Kwiatkowski DJ, Henske EP, Wu CL, Sarosiek KA, Valvezan AJ, Manning BD. Reciprocal effects of mTOR inhibitors on pro-survival proteins dictate therapeutic responses in tuberous sclerosis complex. iScience 2022; 25:105458. [PMID: 36388985 PMCID: PMC9663903 DOI: 10.1016/j.isci.2022.105458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 09/30/2022] [Accepted: 10/23/2022] [Indexed: 11/13/2022] Open
Abstract
mTORC1 is aberrantly activated in cancer and in the genetic tumor syndrome tuberous sclerosis complex (TSC), which is caused by loss-of-function mutations in the TSC complex, a negative regulator of mTORC1. Clinically approved mTORC1 inhibitors, such as rapamycin, elicit a cytostatic effect that fails to eliminate tumors and is rapidly reversible. We sought to determine the effects of mTORC1 on the core regulators of intrinsic apoptosis. In TSC2-deficient cells and tumors, we find that mTORC1 inhibitors shift cellular dependence from MCL-1 to BCL-2 and BCL-XL for survival, thereby altering susceptibility to BH3 mimetics that target specific pro-survival BCL-2 proteins. The BCL-2/BCL-XL inhibitor ABT-263 synergizes with rapamycin to induce apoptosis in TSC-deficient cells and in a mouse tumor model of TSC, resulting in a more complete and durable response. These data expose a therapeutic vulnerability in regulation of the apoptotic machinery downstream of mTORC1 that promotes a cytotoxic response to rapamycin.
Collapse
Affiliation(s)
- Molly C. McNamara
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA,Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Aaron M. Hosios
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA,Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Margaret E. Torrence
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA
| | - Ting Zhao
- Department of Urology, Massachusetts General Hospital, Boston, MA, USA,Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Cameron Fraser
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA
| | - Meghan Wilkinson
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA,Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - David J. Kwiatkowski
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Elizabeth P. Henske
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Chin-Lee Wu
- Department of Urology, Massachusetts General Hospital, Boston, MA, USA,Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Kristopher A. Sarosiek
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA
| | - Alexander J. Valvezan
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA
| | - Brendan D. Manning
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA,Department of Cell Biology, Harvard Medical School, Boston, MA, USA,Corresponding author
| |
Collapse
|
13
|
Panovska-Griffiths J, Swallow B, Hinch R, Cohen J, Rosenfeld K, Stuart RM, Ferretti L, Di Lauro F, Wymant C, Izzo A, Waites W, Viner R, Bonell C, Fraser C, Klein D, Kerr CC. Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. Philos Trans A Math Phys Eng Sci 2022. [PMID: 35965458 DOI: 10.6084/m9.figshare.c.6070427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The English SARS-CoV-2 epidemic has been affected by the emergence of new viral variants such as B.1.177, Alpha and Delta, and changing restrictions. We used statistical models and the agent-based model Covasim, in June 2021, to estimate B.1.177 to be 20% more transmissible than the wild type, Alpha to be 50-80% more transmissible than B.1.177 and Delta to be 65-90% more transmissible than Alpha. Using these estimates in Covasim (calibrated 1 September 2020 to 20 June 2021), in June 2021, we found that due to the high transmissibility of Delta, resurgence in infections driven by the Delta variant would not be prevented, but would be strongly reduced by delaying the relaxation of restrictions by one month and with continued vaccination. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.
Collapse
Affiliation(s)
- J Panovska-Griffiths
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford
- The Queen's College, University of Oxford, Oxford
| | - B Swallow
- School of Mathematics and Statistics, University of Glasgow, Glasgow, UK
| | - R Hinch
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford
| | - J Cohen
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - K Rosenfeld
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - R M Stuart
- University of Copenhagen, Copenhagen, Denmark
| | - L Ferretti
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford
| | - F Di Lauro
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford
| | - C Wymant
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford
| | - A Izzo
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - W Waites
- Department of Public Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK
- Department of Computer and Information Sciences, University of Strathclyde, G1 1XH Glasgow, UK
| | - R Viner
- UCL Great Ormond St. Institute of Child Health, University College London, London, UK
| | - C Bonell
- Department of Public Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK
| | - C Fraser
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford
| | - D Klein
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - C C Kerr
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| |
Collapse
|
14
|
Panovska-Griffiths J, Swallow B, Hinch R, Cohen J, Rosenfeld K, Stuart RM, Ferretti L, Di Lauro F, Wymant C, Izzo A, Waites W, Viner R, Bonell C, Fraser C, Klein D, Kerr CC. Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. Philos Trans A Math Phys Eng Sci 2022; 380:20210315. [PMID: 35965458 PMCID: PMC9376711 DOI: 10.1098/rsta.2021.0315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 05/09/2022] [Indexed: 05/21/2023]
Abstract
The English SARS-CoV-2 epidemic has been affected by the emergence of new viral variants such as B.1.177, Alpha and Delta, and changing restrictions. We used statistical models and the agent-based model Covasim, in June 2021, to estimate B.1.177 to be 20% more transmissible than the wild type, Alpha to be 50-80% more transmissible than B.1.177 and Delta to be 65-90% more transmissible than Alpha. Using these estimates in Covasim (calibrated 1 September 2020 to 20 June 2021), in June 2021, we found that due to the high transmissibility of Delta, resurgence in infections driven by the Delta variant would not be prevented, but would be strongly reduced by delaying the relaxation of restrictions by one month and with continued vaccination. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.
Collapse
Affiliation(s)
- J. Panovska-Griffiths
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- The Queen's College, University of Oxford, Oxford, UK
| | - B. Swallow
- School of Mathematics and Statistics, University of Glasgow, Glasgow, UK
| | - R. Hinch
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - J. Cohen
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - K. Rosenfeld
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | | | - L. Ferretti
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - F. Di Lauro
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - C. Wymant
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - A. Izzo
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - W. Waites
- Department of Public Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK
- Department of Computer and Information Sciences, University of Strathclyde, G1 1XH Glasgow, UK
| | - R. Viner
- UCL Great Ormond St. Institute of Child Health, University College London, London, UK
| | - C. Bonell
- Department of Public Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK
| | - C. Fraser
- The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - D. Klein
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - C. C. Kerr
- Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA
| | | |
Collapse
|
15
|
Li C, Syed MU, Shen Y, Oh A, Fraser C, Kreuzer J, Nabel C, Webster K, Morris R, Caenepeel S, Saiki AY, Rex K, Lipford JR, Hass W, Sarosiek K, Hughes PE, Hata A. Abstract 2150: LKB1 loss rewires JNK-induced apoptotic protein dynamics through NUAKs and sensitizes KRAS-mutant non-small cell lung cancers to combined KRAS G12C + MCL-1 blockade. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The recent approval of the KRAS G12C inhibitor sotorasib (AMG 510) for non-small cell lung cancer (NSCLC) marked a milestone in the development of targeted therapies for KRAS mutant cancers. While sotorasib and other KRAS G12C inhibitors have demonstrated rapid and durable responses in the clinic, some patients do not achieve responses. The identification of specific vulnerabilities conferred by recurrent co-occurring mutations may enable the development of biomarker-driven combination therapies with enhanced activity in distinct subsets of patients. We screened a panel of KRAS-mutant NSCLC cell lines as well as patient-derived xenograft (PDX) mouse models and observed that loss of the tumor suppressor STK11/LKB1 is associated with increased sensitivity to combined MAPK (either the KRAS G12C inhibitor sotorasib or MEK inhibitor trametinib) and MCL-1 inhibition (AMG 176). Restoration of LKB1 expression in LKB1-deficient cell lines and PDX tumors blunted the apoptotic response to MAPK + MCL-1 inhibition; conversely, deletion of LKB1 in LKB1 wild-type models increased sensitivity. Mitochondrial apoptotic cell death is regulated by interactions between pro- (e.g., BIM) and anti-apoptotic (e.g., MCL-1, BCL-XL) BCL-2 family members. MAPK inhibition increases BIM, while MCL-1 inhibition prevents BIM sequestration by MCL-1, resulting in apoptosis. LKB1 deficient cells exhibit increased association of BIM and MCL-1 upon MAPK inhibition, effectively priming cells for death upon inhibition of MCL-1. Mechanistically, LKB1 deficiency and associated loss of NUAK phosphorylation leads to hyperactivation of the JNK phospho-kinase network. JNK phosphorylates MCL-1 at S64 and T163, which enhances BIM: MCL-1 protein-protein interaction. Conversely, JNK phosphorylates BCL-XL at S62 and prevents sequestration of BIM. This series of phosphorylation events increases MCL-1 dependence and creates a specific vulnerability of KRAS-LKB1 tumors to MAPK + MCL-1 inhibition. Consistent with this mechanism, ex vivo treatment of tumor tissue from a KRAS-LKB1 mutant NSCLC patient with sotorasib or trametinib increased MCL-1 dependent priming. These results reveal a novel link between LKB1 and the regulation of BCL-2 family proteins and provide preclinical rationale for evaluation of combined KRAS G12C + MCL-1 inhibitors for KRAS-LKB1 mutant NSCLC.
Citation Format: Chendi Li, Mohammed Usman Syed, Yi Shen, Audris Oh, Cameron Fraser, Johannes Kreuzer, Christopher Nabel, Kaitlyn Webster, Robert Morris, Sean Caenepeel, Anne Y. Saiki, Karen Rex, J. Russell Lipford, Wilhelm Hass, Kristopher Sarosiek, Paul E. Hughes, Aaron Hata. LKB1 loss rewires JNK-induced apoptotic protein dynamics through NUAKs and sensitizes KRAS-mutant non-small cell lung cancers to combined KRAS G12C + MCL-1 blockade [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2150.
Collapse
Affiliation(s)
- Chendi Li
- 1Massachusetts General Hospital, Charlestown, MA
| | | | - Yi Shen
- 1Massachusetts General Hospital, Charlestown, MA
| | - Audris Oh
- 1Massachusetts General Hospital, Charlestown, MA
| | - Cameron Fraser
- 2Harvard T.H. Chan School of Public Health, Boston, Boston, MA
| | | | | | - Kaitlyn Webster
- 2Harvard T.H. Chan School of Public Health, Boston, Boston, MA
| | | | | | | | | | | | - Wilhelm Hass
- 1Massachusetts General Hospital, Charlestown, MA
| | | | | | - Aaron Hata
- 1Massachusetts General Hospital, Charlestown, MA
| |
Collapse
|
16
|
McMaster C, Yang V, Malik R, Norman E, Fraser C, Sutu B, Sammel A, Liew D. AB0602 Temporal artery biopsy positivity rates vary more between similar hospitals than by length, with particular variation between geographic regions. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundClinical practice surrounding giant cell arteritis (GCA) diagnosis, including the use of temporal artery biopsy (TAB) where appropriate, needs to be consistently accurate to minimise both GCA-related end-organ damage and unnecessary glucocorticosteroid toxicity in all patients. Despite this imperative, the delivery of such clinical care, which can be measured by diagnostic investigation performance characteristics such as TAB positivity rates, varies substantially between different hospitals as it is traditionally reliant on unstructured clinical intuition. While clinical care practices plausibly might be more consistent between neighbouring hospitals given they frequently exchange medical staff and use common teaching sources, these factors are less likely to be applicable when comparing hospitals in different geographical regions within a country, even though educational standards, online information resources, and access to clinical care should be consistent. It therefore stands to reason that variation of diagnostic practice might be greater between geographically distant hospitals.ObjectivesTo compare clinical practice surrounding GCA diagnosis, using TAB positivity rates, between similar hospitals in the same city and a geographically distant city in a different region, to understand the contribution of geographic separation to variance in practice.MethodsTAB histopathological reports were reviewed at three tertiary referral hospital centres: two with neighbouring catchments in the same city, and one in a different city in a neighbouring geographical region in the same country. All three had similar resourcing and catchment demographics during the study period, and none used formal clinical risk stratification scores for GCA pre-test probability. Characteristics including age, sex, biopsy laterality, biopsy length, and hospital were captured, in addition to key histopathological features. Multivariable logistic regression with site-varying intercept was performed, using cubic splines for biopsy length to account for the non-linearity observed.ResultsTAB reports from 708 patients were captured between the three hospitals in two geographical regions. All three sites had a median age of 74 years, had 67-69% of patients being female, and reported median biopsy length between 1.7-2.0cm (Table 1). Despite these similarities, they reported positivity rates varying widely (16% and 24% in Region 1, 29% in Region 2). Apart from age, hospital site was the strongest contributing factor to TAB positivity, with length having little effect outside the very extreme high end and 90% of patients had a biopsy length <4.8cm (Figure 1). For these patients, hospital site differentiated TAB positivity across all biopsy lengths, with Region 2 reporting the highest TAB positivity odds ratio of 2.39 (95%CI: 1.37-4.19).Table 1.CharacteristicSite1Region1 N = 218Site2Region1 N = 361Site1Region2 N = 129Bilateral laterality (%)66 (30%)105 (29%)1 (0.8%)Biopsy length (cm, median (IQR))2.0 (1.4, 3.0)1.7 (1.2, 3.5)1.7 (1.4, 2.2)Female sex (%)149 (68%)249 (69%)86 (67%)Age (y, median (IQR))74 (65, 81)74 (65, 80)74 (68, 81)TAB positivity (%)34 (16%)88 (24%)38 (29%)Figure 1.Marginal probabilities of positive TAB obtained from the multivariable logistic regression model (A) across biopsy lengths, with 80% of observed lengths falling between the two vertical red lines (10% and 90% deciles); (B) across hospital sites; (C) across patient age.ConclusionHospital site contributes more greatly to variation in GCA diagnosis clinical practice than demographics or other clinical features do, with particular variation between geographic regions. As part of clinical care standards, using a replicable pre-test GCA probability score1 to select patients is likely to be as important to diagnosis as the diagnostic tool characteristics themselves.References[1]Laskou F, et al. A probability score to aid the diagnosis of suspected giant cell arteritis. Clin Exp Rheumatol. 2019 Jan 1;37(Suppl 117):104-8.Disclosure of InterestsNone declared
Collapse
|
17
|
Gorey S, McAteer C, Antonenko A, Abrahams E, Cameron S, Egan A, Ero A, Fraser C, Tey ZH, Boochoon L, Koay WJ, Sitram R, Deegan K, Quinn C. 77 INCONTINENCE AND DECONDITIONING IN A NONFRAIL SAMPLE OF INPATIENTS AT A UNIVERSITY TEACHING HOSPITAL. Age Ageing 2021. [DOI: 10.1093/ageing/afab219.77] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Abstract
Background
Incontinence occurs in 26% of hospitalised adults1. Deconditioning in hospitalised adults is common and contributes to increased hospital stay2. The #endpjparalysis movement motivates us to reduce harms of hospitalisation older adults.
Methods
We surveyed inpatients to capture the point prevalence of incontinence. We also collected information regarding functional status, continence status and use of continence wear. Local ethical review-board approval was obtained. All participants provided informed consent.
Results
There were 86 responses. Mean age of participants was 71.5 years. 45.4% were female, >95% were admitted from home and were functionally independent. Mean length of stay for respondents was 7.4 days ±12. The median Clinical Frailty Scale, for respondents aged >65 years, was 3, indicating this cohort is not frail.
17 respondents reported incontinence on the day of survey; 8 of these reported that incontinence was a new experience for them since their admission. 24 respondents wore incontinence wear at home, 31 were wearing incontinence wear on the day of survey.
Of 80 respondents who could toilet independently at home, 23 (26%) reported a new dependency to toilet. Of 83 respondents who mobilised independently at home (with or without an aid), 11 reported needing assistance of one-person to walk, 3 needed the assistance of two-people to walk or stand, five people required a hoist, while 3 were bedbound on the day of survey.
Conclusion
We describe increased dependency in mobility, toileting and increased use of continence wear in non-frail hospitalised older adults. Future work is needed to maintain function during admission to hospital.
References
1. Condon, M., et al. (2019). ‘Urinary and Faecal Incontinence: Point Prevalence and Predictors in a University Hospital.’ Int J Environ Res Public Health 16.
2. Guilcher, S., et al. (2021). ‘A qualitative study exploring the lived experiences of deconditioning in hospital in Ontario, Canada.’ BMC Geriatrics 21.
Collapse
Affiliation(s)
- S Gorey
- University Hospital Limerick , Limerick, Ireland
| | - C McAteer
- University Hospital Limerick , Limerick, Ireland
| | - A Antonenko
- University Hospital Limerick , Limerick, Ireland
| | - E Abrahams
- University Hospital Limerick , Limerick, Ireland
| | - S Cameron
- University Hospital Limerick , Limerick, Ireland
| | - A Egan
- University Hospital Limerick , Limerick, Ireland
| | - A Ero
- University Hospital Limerick , Limerick, Ireland
| | - C Fraser
- University Hospital Limerick , Limerick, Ireland
| | - Z H Tey
- University Hospital Limerick , Limerick, Ireland
| | - L Boochoon
- University Hospital Limerick , Limerick, Ireland
| | - W J Koay
- University Hospital Limerick , Limerick, Ireland
| | - R Sitram
- University Hospital Limerick , Limerick, Ireland
| | - K Deegan
- University Hospital Limerick , Limerick, Ireland
| | - C Quinn
- University Hospital Limerick , Limerick, Ireland
| |
Collapse
|
18
|
Inde Z, Croker BA, Yapp C, Joshi GN, Spetz J, Fraser C, Qin X, Xu L, Deskin B, Ghelfi E, Webb G, Carlin AF, Zhu YP, Leibel SL, Garretson AF, Clark AE, Duran JM, Pretorius V, Crotty-Alexander LE, Li C, Lee JC, Sodhi C, Hackam DJ, Sun X, Hata AN, Kobzik L, Miller J, Park JA, Brownfield D, Jia H, Sarosiek KA. Age-dependent regulation of SARS-CoV-2 cell entry genes and cell death programs correlates with COVID-19 severity. Sci Adv 2021; 7:eabf8609. [PMID: 34407940 PMCID: PMC8373124 DOI: 10.1126/sciadv.abf8609] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 06/25/2021] [Indexed: 05/02/2023]
Abstract
Novel coronavirus disease 2019 (COVID-19) severity is highly variable, with pediatric patients typically experiencing less severe infection than adults and especially the elderly. The basis for this difference is unclear. We find that mRNA and protein expression of angiotensin-converting enzyme 2 (ACE2), the cell entry receptor for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes COVID-19, increases with advancing age in distal lung epithelial cells. However, in humans, ACE2 expression exhibits high levels of intra- and interindividual heterogeneity. Further, cells infected with SARS-CoV-2 experience endoplasmic reticulum stress, triggering an unfolded protein response and caspase-mediated apoptosis, a natural host defense system that halts virion production. Apoptosis of infected cells can be selectively induced by treatment with apoptosis-modulating BH3 mimetic drugs. Notably, epithelial cells within young lungs and airways are more primed to undergo apoptosis than those in adults, which may naturally hinder virion production and support milder COVID-19 severity.
Collapse
Affiliation(s)
- Zintis Inde
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Ben A Croker
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarence Yapp
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
- Image and Data Analysis Core, Harvard Medical School, Boston, MA, USA
| | - Gaurav N Joshi
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
- Integrated Cellular Imaging Core, Emory University, Atlanta, GA, USA
| | - Johan Spetz
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Cameron Fraser
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Xingping Qin
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Le Xu
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brian Deskin
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elisa Ghelfi
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gabrielle Webb
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Aaron F Carlin
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Yanfang Peipei Zhu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Sandra L Leibel
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA
| | - Aaron F Garretson
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Alex E Clark
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jason M Duran
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Victor Pretorius
- Department of Surgery, University of California San Diego, La Jolla, CA, USA
| | | | - Chendi Li
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jamie Casey Lee
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Chhinder Sodhi
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - David J Hackam
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Xin Sun
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Aaron N Hata
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Lester Kobzik
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jeffrey Miller
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jin-Ah Park
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Douglas Brownfield
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hongpeng Jia
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Kristopher A Sarosiek
- Molecular and Integrative Physiological Sciences Program, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
19
|
Li C, Shen Y, Syed MU, Oh A, Fraser C, Kreuzer J, Webster K, Morris R, Caenepeel S, Saiki AY, Rex K, Lipford J, Hass W, Sarosiek K, Hughes PE, Hata AN. Abstract 982: LKB1 loss rewires stress signaling-induced apoptotic protein dynamics and sensitizes KRAS-mutant non-small cell lung cancers to combined MAPK + MCL-1 blockade. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: There are currently no approved targeted therapies for KRAS-mutant non-small cell lung cancers (NSCLC), which represent 25-30% of lung adenocarcinomas. The development of mutant-specific covalent inhibitors of KRAS G12C has invigorated hope that clinically effective KRAS-targeted therapies are within reach. While these agents have shown activity in early phase clinical trials, identification of specific vulnerabilities conferred by common co-occurring mutations in KRAS-mutant NSCLC may enable development of combination therapies with enhanced activity in distinct subsets of patients.
Results: We screened a panel of KRAS-mutant NSCLC cell lines and observed that loss of the tumor suppressor STK11/LKB1 is associated with increased MCL-1 dependence and sensitivity to combined MAPK (either MEK inhibitor or KRAS G12C inhibitor AMG 510) and MCL-1 inhibition (AMG 176). Restoration of LKB1 expression in LKB1-deficient cell lines and mouse xenograft tumors blunted the apoptotic response to MAPK + MCL-1 inhibition; conversely, deletion of LKB1 in LKB1 wild-type models restored the sensitivity. Mechanistically, LKB1 deficiency is associated with an altered phosphoproteome and increased MCL-1-dependent apoptotic priming. LKB1 loss increased cellular stress leading to hyperactivation of JNK1, phosphorylation and stabilization of MCL-1 protein, and increased BIM sequestration by MCL-1. Upon suppression of MAPK signaling, LKB1-deficient cells exhibited greater levels of BIM bound to MCL-1 that could be liberated by AMG 176 to induce apoptosis. Consistent with these results, ex vivo treatment of tumor tissue from a KRAS-LKB1 mutant NSCLC patient with MEK inhibitor or AMG 510 increased MCL-1 dependent priming.
Conclusion: These results uncover a novel link between LKB1, cellular stress, and the regulation of MCL-1. LKB1 loss confers a dependency on MCL-1 that can be exploited therapeutically. Moreover, our study provides preclinical rationale for the exploration of combined KRAS G12C + MCL-1 inhibitors, particularly for KRAS-LKB1 mutant patients who respond poorly to standard-of-care checkpoint inhibitor therapy.
Citation Format: Chendi Li, Yi Shen, Mohammed Usman Syed, Audris Oh, Cameron Fraser, Johannes Kreuzer, Kaitlyn Webster, Robert Morris, Sean Caenepeel, Anne Y. Saiki, Karen Rex, James Lipford, Wilhelm Hass, Kristopher Sarosiek, Paul E. Hughes, Aaron N. Hata. LKB1 loss rewires stress signaling-induced apoptotic protein dynamics and sensitizes KRAS-mutant non-small cell lung cancers to combined MAPK + MCL-1 blockade [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 982.
Collapse
Affiliation(s)
- Chendi Li
- 1Massachusetts General Hospital, Charlestown, MA
| | - Yi Shen
- 1Massachusetts General Hospital, Charlestown, MA
| | | | - Audris Oh
- 1Massachusetts General Hospital, Charlestown, MA
| | | | | | | | | | | | | | | | | | - Wilhelm Hass
- 1Massachusetts General Hospital, Charlestown, MA
| | | | | | | |
Collapse
|
20
|
Pfeifle RL, Beasley EM, Crabtree NE, Fraser C, Elbert JA, Ducker E, Nagata K, Garner BC, Sakamoto K. Osteosarcoma in the femur of a horse. EQUINE VET EDUC 2021. [DOI: 10.1111/eve.13445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- R. L. Pfeifle
- Department of Large Animal Medicine University of Georgia Athens GeorgiaUSA
| | - E. M. Beasley
- Department of Large Animal Medicine University of Georgia Athens GeorgiaUSA
| | - N. E. Crabtree
- Department of Large Animal Medicine University of Georgia Athens GeorgiaUSA
| | - C. Fraser
- Department of Pathology University of Georgia Athens GeorgiaUSA
| | - J. A. Elbert
- Department of Pathology University of Georgia Athens GeorgiaUSA
| | - E. Ducker
- Department of Veterinary Biosciences and Diagnostic Imaging University of Georgia Athens Georgia USA
| | - K. Nagata
- Department of Veterinary Biosciences and Diagnostic Imaging University of Georgia Athens Georgia USA
| | - B. C. Garner
- Department of Pathology University of Georgia Athens GeorgiaUSA
| | - K. Sakamoto
- Department of Pathology University of Georgia Athens GeorgiaUSA
| |
Collapse
|
21
|
Inde Z, Yapp C, Joshi GN, Spetz J, Fraser C, Deskin B, Ghelfi E, Sodhi C, Hackam DJ, Kobzik L, Croker BA, Brownfield D, Jia H, Sarosiek KA. Age-dependent regulation of SARS-CoV-2 cell entry genes and cell death programs correlates with COVID-19 disease severity. bioRxiv 2020:2020.09.13.276923. [PMID: 32935109 PMCID: PMC7491524 DOI: 10.1101/2020.09.13.276923] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Angiotensin-converting enzyme 2 (ACE2) maintains cardiovascular and renal homeostasis but also serves as the entry receptor for the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), the causal agent of novel coronavirus disease 2019 (COVID-19). COVID-19 disease severity is typically lower in pediatric patients than adults (particularly the elderly), but higher rates of hospitalizations requiring intensive care are observed in infants than in older children - the reasons for these differences are unknown. ACE2 is expressed in several adult tissues and cells, including alveolar type 2 cells of the distal lung epithelium, but expression at other ages is largely unexplored. Here we show that ACE2 transcripts are expressed in the lung and trachea shortly after birth, downregulated during childhood, and again expressed at high levels in late adulthood. Notably, the repertoire of cells expressing ACE2 protein in the mouse lung and airways shifts during key phases of lung maturation. In particular, podoplanin-positive cells, which are likely alveolar type I cells responsible for gas exchange, express ACE2 only in advanced age. Similar patterns of expression were evident in analysis of human lung tissue from over 100 donors, along with extreme inter- and intra-individual heterogeneity in ACE2 protein expression in epithelial cells. Furthermore, we find that apoptosis, which is a natural host defense system against viral infection, is dynamically regulated during lung maturation, resulting in periods of heightened apoptotic priming and dependence on pro-survival BCL-2 family proteins including MCL-1. Infection of human lung cells with SARS-CoV-2 triggers an unfolded protein stress response and upregulation of the endogenous MCL-1 inhibitor Noxa; in young individuals, MCL-1 inhibition is sufficient to trigger apoptosis in lung epithelial cells and may thus limit virion production and inflammatory signaling. Overall, we identify strong and distinct correlates of COVID-19 disease severity across lifespan and advance our understanding of the regulation of ACE2 and cell death programs in the mammalian lung. Furthermore, our work provides the framework for translation of apoptosis modulating drugs as novel treatments for COVID-19.
Collapse
Affiliation(s)
- Zintis Inde
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
| | - Clarence Yapp
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
- Image and Data Analysis Core, Harvard Medical School, Boston, MA
| | - Gaurav N. Joshi
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
- Integrated Cellular Imaging Core, Emory University, Atlanta, GA
| | - Johan Spetz
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
| | - Cameron Fraser
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
| | - Brian Deskin
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Elisa Ghelfi
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Chhinder Sodhi
- Department of Surgery, Johns Hopkins University, Baltimore, MD
| | - David J. Hackam
- Department of Surgery, Johns Hopkins University, Baltimore, MD
| | - Lester Kobzik
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Ben A. Croker
- Division of Allergy, Immunology and Rheumatology, University of California, San Diego, CA
| | - Douglas Brownfield
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Hongpeng Jia
- Department of Surgery, Johns Hopkins University, Baltimore, MD
| | - Kristopher A. Sarosiek
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
| |
Collapse
|
22
|
Jaworski L, Griffith K, Mancini B, Jolly S, Boike T, Moran J, Dominello M, Wilson M, Parker J, Burmeister J, Gardner S, Fraser C, Miller L, Baldwin K, Mietzel M, Grubb M, Kendrick D, Pierce L, Spratt D, Hayman J. Contemporary Practice Patterns for Radiotherapy of Bone Metastases: Preliminary Analysis of Prospective Data from a Statewide Consortium Focusing on Extended Fractionation. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
23
|
Jolly S, Hochstedler K, Paximadis P, Hayman J, Dominello M, Burmeister J, Grills I, Dess R, Dragovic A, Movsas B, Ajlouni M, Fraser C, Kestin L, Wilson M, Bergsma D, Spratt D, Moran J, Pierce L, Schipper M, Matuszak M. Changing Practice Patterns in the Radiation Treatment Delivery for Locally Advanced Lung Cancer: Results from a Statewide Consortium. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
24
|
Dziemianowicz E, Gardner S, Snyder K, Walker E, Fraser C, Reding A, Wen N. RT for Patients with Compressed Air Tissue Expanders: Treatment Planning Solutions and Limitations. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
25
|
Lossos C, Liu Y, Kolb KE, Christie AL, Van Scoyk A, Prakadan SM, Shigemori K, Stevenson KE, Morrow S, Plana OD, Fraser C, Jones KL, Liu H, Pallasch CP, Modiste R, Nguyen QD, Craig JW, Morgan EA, Vega F, Aster JC, Sarosiek KA, Shalek AK, Hemann MT, Weinstock DM. Mechanisms of Lymphoma Clearance Induced by High-Dose Alkylating Agents. Cancer Discov 2019; 9:944-961. [PMID: 31040105 PMCID: PMC6606344 DOI: 10.1158/2159-8290.cd-18-1393] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/28/2019] [Accepted: 04/25/2019] [Indexed: 01/10/2023]
Abstract
The extraordinary activity of high-dose cyclophosphamide against some high-grade lymphomas was described nearly 60 years ago. Here we address mechanisms that mediate cyclophosphamide activity in bona fide human double-hit lymphoma. We show that antibody resistance within the bone marrow (BM) is not present upon early engraftment but develops during lymphoma progression. This resistance required a high tumor:macrophage ratio, was recapitulated in spleen by partial macrophage depletion, and was overcome by multiple, high-dose alkylating agents. Cyclophosphamide induced endoplasmic reticulum (ER) stress in BM-resident lymphoma cells in vivo that resulted in ATF4-mediated paracrine secretion of VEGFA, massive macrophage infiltration, and clearance of alemtuzumab-opsonized cells. BM macrophages isolated after cyclophosphamide treatment had increased phagocytic capacity that was reversed by VEGFA blockade or SYK inhibition. Single-cell RNA sequencing of these macrophages identified a "super-phagocytic" subset that expressed CD36/FCGR4. Together, these findings define a novel mechanism through which high-dose alkylating agents promote macrophage-dependent lymphoma clearance. SIGNIFICANCE: mAbs are effective against only a small subset of cancers. Herein, we recapitulate compartment-specific antibody resistance and define an ER stress-dependent mechanism induced by high-dose alkylating agents that promotes phagocytosis of opsonized tumor cells. This approach induces synergistic effects with mAbs and merits testing across additional tumor types.See related commentary by Duval and De Palma, p. 834.This article is highlighted in the In This Issue feature, p. 813.
Collapse
Affiliation(s)
- Chen Lossos
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Yunpeng Liu
- Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
- MIT Koch Institute for Integrative Cancer Research, Cambridge, Massachusetts
| | - Kellie E Kolb
- Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
- Institute for Medical Engineering and Science (IMES), Department of Chemistry, and Koch Institute for Integrative Cancer Research, MIT, Cambridge, Massachusetts
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts
| | - Amanda L Christie
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Alexandria Van Scoyk
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Sanjay M Prakadan
- Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
- Institute for Medical Engineering and Science (IMES), Department of Chemistry, and Koch Institute for Integrative Cancer Research, MIT, Cambridge, Massachusetts
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts
| | - Kay Shigemori
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Kristen E Stevenson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Sara Morrow
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Olivia D Plana
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Cameron Fraser
- John B. Little Center for Radiation Sciences, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
| | - Kristen L Jones
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Huiyun Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Christian P Pallasch
- Department of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Rebecca Modiste
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Quang-De Nguyen
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jeffrey W Craig
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Elizabeth A Morgan
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Francisco Vega
- Division of Hematopathology, Department of Pathology and Laboratory Medicine, University of Miami/Sylvester Comprehensive Cancer Center, Miami, Florida
- Division of Hematology-Oncology, Department of Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Jon C Aster
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kristopher A Sarosiek
- John B. Little Center for Radiation Sciences, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
| | - Alex K Shalek
- Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
- Institute for Medical Engineering and Science (IMES), Department of Chemistry, and Koch Institute for Integrative Cancer Research, MIT, Cambridge, Massachusetts
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts
| | - Michael T Hemann
- Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
- MIT Koch Institute for Integrative Cancer Research, Cambridge, Massachusetts
| | - David M Weinstock
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
- Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
| |
Collapse
|
26
|
Ramanathan S, Fraser C, Curnow SR, Ghaly M, Leventer RJ, Lechner-Scott J, Henderson A, Reddel S, Dale RC, Brilot F. Uveitis and optic perineuritis in the context of myelin oligodendrocyte glycoprotein antibody seropositivity. Eur J Neurol 2019; 26:1137-e75. [PMID: 30748058 DOI: 10.1111/ene.13932] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 02/07/2019] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Antibodies to myelin oligodendrocyte glycoprotein (MOG) have been identified in both children and adults with demyelination, with a strong association with bilateral or recurrent optic neuritis (ON). However, the full clinical spectrum of this newly described condition is unknown. We sought to describe non-ON inflammatory ophthalmological presentations such as uveitis and optic perineuritis in the context of MOG antibody seropositivity. METHODS Using a live cell-based assay analysed by flow cytometry, we identified seropositive patients referred for MOG antibody testing in Australasia between 2014 and 2017. We identified four MOG antibody-positive patients with non-ON inflammatory ophthalmological presentations and present their detailed clinical information in this case series. RESULTS Three patients had uveitis either in association with, or remote from, ON. One patient had optic perineuritis and peripheral ulcerative keratitis. We describe the presentation, examination, investigation findings and clinical course of these four patients. CONCLUSIONS Recognition of these novel clinical associations may expand the clinical spectrum of MOG antibody-associated presentations. An expedited diagnosis may guide the management of these complex patients.
Collapse
Affiliation(s)
- S Ramanathan
- Brain Autoimmunity Group, Kids Neuroscience Centre at Kids Research, The Children's Hospital, Westmead, New South Wales.,Sydney Medical School, University of Sydney, Sydney, New South Wales.,Department of Neurology, Westmead Hospital, Sydney, New South Wales
| | - C Fraser
- Save Sight Institute, University of Sydney, Sydney, New South Wales
| | - S R Curnow
- Department of Neurology, Royal Children's Hospital, Melbourne, Victoria
| | - M Ghaly
- University Hospital Geelong, Geelong, Victoria
| | - R J Leventer
- Department of Paediatrics, Royal Children's Hospital, Murdoch Children's Research Institute, University of Melbourne, Melbourne, Victoria
| | - J Lechner-Scott
- Department of Neurology, John Hunter Hospital, Newcastle, New South Wales.,Hunter Medical Research Institute, Faculty of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales
| | - A Henderson
- Department of Neurology, Westmead Hospital, Sydney, New South Wales.,Department of Ophthalmology, Westmead Hospital, Sydney, New South Wales
| | - S Reddel
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales.,Department of Neurology, Concord Repatriation General Hospital, Sydney, New South Wales
| | - R C Dale
- Brain Autoimmunity Group, Kids Neuroscience Centre at Kids Research, The Children's Hospital, Westmead, New South Wales.,Sydney Medical School, University of Sydney, Sydney, New South Wales.,Brain and Mind Centre, University of Sydney, Sydney, New South Wales.,TY Nelson Department of Neurology and Neurosurgery, Children's Hospital at Westmead, Sydney, New South Wales
| | - F Brilot
- Brain Autoimmunity Group, Kids Neuroscience Centre at Kids Research, The Children's Hospital, Westmead, New South Wales.,Sydney Medical School, University of Sydney, Sydney, New South Wales.,Brain and Mind Centre, University of Sydney, Sydney, New South Wales.,Applied Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
27
|
Scovil CY, Delparte JJ, Walia S, Flett HM, Guy SD, Wallace M, Burns AS, Wolfe DL, Wolfe D, Kras-Dupuis A, Walia S, Guy S, Askes H, Casalino A, Fraser C, Paiva M, Miles S, Gagliardi J, Orenczuk S, Sommerdyk J, Genereaux M, Jarvis D, Wesenger J, Bloetjes L, Flett H, Burns A, Scovil C, Delparte J, Leber D, McMillan L, Domingo T, Wallace M, Stoesz B, Aguillon G, Koning C, Mumme L, Cwiklewich M, Bayless K, Crouse L, Crocker J, Erickson G, Mark M, Charbonneau R, Lloyd A, Van Doesburg C, Knox J, Wright P, Mouneimne M, Parmar R, Isaacs T, Reader J, Oga C, Birchall N, McKenzie N, Nicol S, Joly C, Laramée M, Robidoux I, Casimir M, Côté S, Lubin C, Lemay J, Beaulieu J, Truchon C, Noreau L, Lemay V, Vachon J, Bélanger D, Proteau F, O'Connell C, Savoie J, McCullum S, Brown J, Duda M, Bassett-Spiers K, Riopelle R, Hsieh J, Reinhart-McMillan W, Joshi P, Noonan V, Humphreys S, Hamilton L, MacIsaac G. Implementation of Pressure Injury Prevention Best Practices Across 6 Canadian Rehabilitation Sites: Results From the Spinal Cord Injury Knowledge Mobilization Network. Arch Phys Med Rehabil 2019; 100:327-335. [DOI: 10.1016/j.apmr.2018.07.444] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 07/11/2018] [Accepted: 07/20/2018] [Indexed: 12/19/2022]
|
28
|
Abstract
Apoptosis (programmed cell death) is activated by a wide variety of cellular stresses or insults and is vital for proper mammalian development as well as the maintenance of organismal homeostasis. The apoptosis pathway is also engaged by many common types of anticancer therapies and ionizing radiation, which contributes to the regressions of tumors or the toxic side effects of treatment. Due to the importance of maintaining healthy cell survival or the efficient clearance of cancer cells, the BH3 profiling assay was developed to functionally measure the state of the apoptosis pathway in any given cells. This assay involves the exposure of cellular mitochondria, where the BCL-2 family of proteins resides and controls the commitment to apoptosis, to proapoptotic BH3 peptides that mimic the activity of endogenous proapoptotic proteins. By using either activator or sensitizer peptides, the level of mitochondrial apoptotic priming (proximity to the threshold at which a cell commits to cell death) or dependence on prosurvival BCL-2 family proteins can be determined. Described here are two methods of BH3 profiling that can enable a user to make these functional measurements, which can be useful for predicting cellular responses to proapoptotic stressors or therapeutics (BH3 mimetics) that inhibit the activity of prosurvival proteins.
Collapse
Affiliation(s)
- Cameron Fraser
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jeremy Ryan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kristopher Sarosiek
- John B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA. .,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| |
Collapse
|
29
|
Nangia V, Siddiqui FM, Caenepeel S, Timonina D, Bilton SJ, Phan N, Gomez-Caraballo M, Archibald HL, Li C, Fraser C, Rigas D, Vajda K, Ferris LA, Lanuti M, Wright CD, Raskin KA, Cahill DP, Shin JH, Keyes C, Sequist LV, Piotrowska Z, Farago AF, Azzoli CG, Gainor JF, Sarosiek KA, Brown SP, Coxon A, Benes CH, Hughes PE, Hata AN. Exploiting MCL1 Dependency with Combination MEK + MCL1 Inhibitors Leads to Induction of Apoptosis and Tumor Regression in KRAS-Mutant Non-Small Cell Lung Cancer. Cancer Discov 2018; 8:1598-1613. [PMID: 30254092 DOI: 10.1158/2159-8290.cd-18-0277] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 08/30/2018] [Accepted: 09/24/2018] [Indexed: 12/12/2022]
Abstract
BH3 mimetic drugs, which inhibit prosurvival BCL2 family proteins, have limited single-agent activity in solid tumor models. The potential of BH3 mimetics for these cancers may depend on their ability to potentiate the apoptotic response to chemotherapy and targeted therapies. Using a novel class of potent and selective MCL1 inhibitors, we demonstrate that concurrent MEK + MCL1 inhibition induces apoptosis and tumor regression in KRAS-mutant non-small cell lung cancer (NSCLC) models, which respond poorly to MEK inhibition alone. Susceptibility to BH3 mimetics that target either MCL1 or BCL-xL was determined by the differential binding of proapoptotic BCL2 proteins to MCL1 or BCL-xL, respectively. The efficacy of dual MEK + MCL1 blockade was augmented by prior transient exposure to BCL-xL inhibitors, which promotes the binding of proapoptotic BCL2 proteins to MCL1. This suggests a novel strategy for integrating BH3 mimetics that target different BCL2 family proteins for KRAS-mutant NSCLC. SIGNIFICANCE: Defining the molecular basis for MCL1 versus BCL-xL dependency will be essential for effective prioritization of BH3 mimetic combination therapies in the clinic. We discover a novel strategy for integrating BCL-xL and MCL1 inhibitors to drive and subsequently exploit apoptotic dependencies of KRAS-mutant NSCLCs treated with MEK inhibitors.See related commentary by Leber et al., p. 1511.This article is highlighted in the In This Issue feature, p. 1494.
Collapse
Affiliation(s)
- Varuna Nangia
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Faria M Siddiqui
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Sean Caenepeel
- Department of Oncology Research, Amgen, Thousand Oaks, California
| | - Daria Timonina
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Samantha J Bilton
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Nicole Phan
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | | | - Hannah L Archibald
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Chendi Li
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Cameron Fraser
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Diamanda Rigas
- Department of Oncology Research, Amgen, Thousand Oaks, California
| | - Kristof Vajda
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Lorin A Ferris
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts
| | - Michael Lanuti
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Cameron D Wright
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Kevin A Raskin
- Department of Orthopaedics, Massachusetts General Hospital, Boston, Massachusetts
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Colleen Keyes
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Lecia V Sequist
- Division of Hematology Oncology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Zofia Piotrowska
- Division of Hematology Oncology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Anna F Farago
- Division of Hematology Oncology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Christopher G Azzoli
- Division of Hematology Oncology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Justin F Gainor
- Division of Hematology Oncology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Kristopher A Sarosiek
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Sean P Brown
- Department of Medicinal Chemistry, Amgen, Thousand Oaks, California
| | - Angela Coxon
- Department of Oncology Research, Amgen, Thousand Oaks, California
| | - Cyril H Benes
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Paul E Hughes
- Department of Oncology Research, Amgen, Thousand Oaks, California
| | - Aaron N Hata
- Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts. .,Division of Hematology Oncology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
30
|
Feld J, Conway B, Bruneau J, Cooper C, Cox J, Deshaies L, Fraser C, Macphail G, Powis J, Steingart C, Stewart K, Thomas R, Webster D, Drolet M, Mcgovern M, Trepanier J. A27 CHARACTERIZATION OF HCV INFECTED PWID IN THE SETTING OF CLINICAL CARE IN CANADA (CAPICA): FINAL RESULTS. J Can Assoc Gastroenterol 2018. [DOI: 10.1093/jcag/gwy008.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- J Feld
- Centre for Liver Disease, Toronto General Hospital, Toronto, ON, Canada
| | - B Conway
- Vancouver Infectious Diseases Centre, Vancouver, BC, Canada
| | - J Bruneau
- CHUM:Hopital St-Luc, Montreal, QC, Canada
| | - C Cooper
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - J Cox
- McGill University Health Center, Montreal, QC, Canada
| | - L Deshaies
- Clinique Médicale Lauberivière, Quebec, QC, Canada
| | - C Fraser
- Cool Aid Community Health Center, Victoria, BC, Canada
| | - G Macphail
- Calgary Urban Project Society (CUPS), Calgary, AB, Canada
| | - J Powis
- Toronto Community Hep C Program, Toronto, ON, Canada
| | | | - K Stewart
- Saskatoon Infectious Disease Care Network, Saskatoon, SK, Canada
| | - R Thomas
- Clinique Médicale l’Actuel, Montreal, QC, Canada
| | - D Webster
- Dalhousie University, Saint John, NB, Canada
| | - M Drolet
- Merck Canada, Kirkland, QC, Canada
| | | | | |
Collapse
|
31
|
Grundy AC, Walker L, Meade O, Fraser C, Cree L, Bee P, Lovell K, Callaghan P. Evaluation of a co-delivered training package for community mental health professionals on service user- and carer-involved care planning. J Psychiatr Ment Health Nurs 2017; 24:358-366. [PMID: 28218977 PMCID: PMC5574013 DOI: 10.1111/jpm.12378] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/10/2017] [Indexed: 11/28/2022]
Abstract
UNLABELLED WHAT IS KNOWN ON THE SUBJECT?: There is consistent evidence that service users and carers feel marginalized in the process of mental health care planning. Mental health professionals have identified ongoing training needs in relation to involving service users and carers in care planning. There is limited research on the acceptability of training packages for mental health professionals which involve service users and carers as co-facilitators. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: A co-produced and co-delivered training package on service user- and carer-involved care planning was acceptable to mental health professionals. Aspects of the training that were particularly valued were the co-production model, small group discussion and the opportunity for reflective practice. The organizational context of care planning may need more consideration in future training models. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Mental health nurses using co-production models of delivering training to other mental health professionals can be confident that such initiatives will be warmly welcomed, acceptable and engaging. On the basis of the results reported here, we encourage mental health nurses to use co-production approaches more often. Further research will show how clinically effective this training is in improving outcomes for service users and carers. ABSTRACT Background There is limited evidence for the acceptability of training for mental health professionals on service user- and carer-involved care planning. Aim To investigate the acceptability of a co-delivered, two-day training intervention on service user- and carer-involved care planning. Methods Community mental health professionals were invited to complete the Training Acceptability Rating Scale post-training. Responses to the quantitative items were summarized using descriptive statistics (Miles, ), and qualitative responses were coded using content analysis (Weber, ). Results Of 350 trainees, 310 completed the questionnaire. The trainees rated the training favourably (median overall TARS scores = 56/63; median 'acceptability' score = 34/36; median 'perceived impact' score = 22/27). There were six qualitative themes: the value of the co-production model; time to reflect on practice; delivery preferences; comprehensiveness of content; need to consider organizational context; and emotional response. Discussion The training was found to be acceptable and comprehensive with participants valuing the co-production model. Individual differences were apparent in terms of delivery preferences and emotional reactions. There may be a need to further address the organizational context of care planning in future training. Implications for practice Mental health nurses should use co-production models of continuing professional development training that involve service users and carers as co-facilitators.
Collapse
Affiliation(s)
- A C Grundy
- School of Health Sciences, University of Nottingham, Nottingham, UK
| | - L Walker
- Health Sciences Research, School of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - O Meade
- School of Health Sciences, University of Nottingham, Nottingham, UK
| | - C Fraser
- Health Sciences Research, School of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - L Cree
- Health Sciences Research, School of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - P Bee
- Health Sciences Research, School of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - K Lovell
- Health Sciences Research, School of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - P Callaghan
- Mental Health Nursing, School of Health Sciences, University of Nottingham, Nottingham, UK
| |
Collapse
|
32
|
Fraser C, Grundy A, Meade O, Callaghan P, Lovell K. EQUIP training the trainers: an evaluation of a training programme for service users and carers involved in training mental health professionals in user-involved care planning. J Psychiatr Ment Health Nurs 2017; 24:367-376. [PMID: 28105690 DOI: 10.1111/jpm.12361] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/04/2016] [Indexed: 11/29/2022]
Abstract
UNLABELLED WHAT IS KNOWN ON THE SUBJECT?: UK NHS policy highlights the importance of user and carer involvement in health professional training. We know little about service user and carer motivations and experiences of accessing training courses for delivering training to health professionals and how well such courses prepare them for delivering training to healthcare professionals. 'Involvement' in training has often been tokenistic and too narrowly focused on preregistration courses. There is limited data on how best to prepare and support potential service user and carer trainers. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: This study adds to the international literature by highlighting service user and carer motivations for accessing a training course for delivering training to health professionals. Service users and carers wanted to gain new skills and confidence in presentation/facilitation as well as to make a difference to healthcare practice. We also learned that service users desired different levels of involvement in training facilitation - some wanted to take a more active role than others. A one-size-fits-all approach is not always appropriate. Encountering resistance from staff in training was a previously unidentified challenge to service user and carers' experience of delivering training in practice and is a key challenge for trainers to address in future. Professional training involvement can be enhanced via specialist training such as the EQUIP training the trainers programme evaluated here. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: When training service users and carers to deliver training to mental health professionals, it is important that service users are equipped to deal with resistance from staff. It is important that service user and carer roles are negotiated and agreed prior to delivering training to healthcare professionals to accommodate individual preferences and allay anxieties. Training for service users and carers must be offered alongside ongoing support and supervision. Mental health nurses (and other health professionals) will be better able to involve service users and carers in care planning. Service users and carers may feel more involved in care planning in future. ABSTRACT Introduction Limited evidence exists on service user and carer perceptions of undertaking a training course for delivering care planning training to qualified mental health professionals. We know little about trainee motivations for engaging with such train the trainers courses, experiences of attending courses and trainees' subsequent experiences of codelivering training to health professionals, hence the current study. Aim To obtain participants' views on the suitability and acceptability of a training programme that aimed to prepare service users and carers to codeliver training to health professionals. Method Semi-structured interviews with nine service users and carers attending the training programme. Transcripts were analysed using inductive thematic analysis. Results Participants' reasons for attending training included skill development and making a difference to mental health practice. Course content was generally rated highly but may benefit from review and/or extension to allow the range of topics and resulting professional training programme to be covered in more depth. Trainees who delivered the care planning training reported a mix of expectations, support experiences, preparedness and personal impacts. Implications for Practice Mental health nurses are increasingly coproducing and delivering training with service users and carers. This study identifies possibilities and pitfalls in this endeavour, highlighting areas where user and carer involvement and support structures might be improved in order to fully realize the potential for involvement in training.
Collapse
Affiliation(s)
- C Fraser
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - A Grundy
- School of Health Sciences, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - O Meade
- School of Health Sciences, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - P Callaghan
- School of Health Sciences, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - K Lovell
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| |
Collapse
|
33
|
Witt SH, Streit F, Jungkunz M, Frank J, Awasthi S, Reinbold CS, Treutlein J, Degenhardt F, Forstner AJ, Heilmann-Heimbach S, Dietl L, Schwarze CE, Schendel D, Strohmaier J, Abdellaoui A, Adolfsson R, Air TM, Akil H, Alda M, Alliey-Rodriguez N, Andreassen OA, Babadjanova G, Bass NJ, Bauer M, Baune BT, Bellivier F, Bergen S, Bethell A, Biernacka JM, Blackwood DHR, Boks MP, Boomsma DI, Børglum AD, Borrmann-Hassenbach M, Brennan P, Budde M, Buttenschøn HN, Byrne EM, Cervantes P, Clarke TK, Craddock N, Cruceanu C, Curtis D, Czerski PM, Dannlowski U, Davis T, de Geus EJC, Di Florio A, Djurovic S, Domenici E, Edenberg HJ, Etain B, Fischer SB, Forty L, Fraser C, Frye MA, Fullerton JM, Gade K, Gershon ES, Giegling I, Gordon SD, Gordon-Smith K, Grabe HJ, Green EK, Greenwood TA, Grigoroiu-Serbanescu M, Guzman-Parra J, Hall LS, Hamshere M, Hauser J, Hautzinger M, Heilbronner U, Herms S, Hitturlingappa S, Hoffmann P, Holmans P, Hottenga JJ, Jamain S, Jones I, Jones LA, Juréus A, Kahn RS, Kammerer-Ciernioch J, Kirov G, Kittel-Schneider S, Kloiber S, Knott SV, Kogevinas M, Landén M, Leber M, Leboyer M, Li QS, Lissowska J, Lucae S, Martin NG, Mayoral-Cleries F, McElroy SL, McIntosh AM, McKay JD, McQuillin A, Medland SE, Middeldorp CM, Milaneschi Y, Mitchell PB, Montgomery GW, Morken G, Mors O, Mühleisen TW, Müller-Myhsok B, Myers RM, Nievergelt CM, Nurnberger JI, O'Donovan MC, Loohuis LMO, Ophoff R, Oruc L, Owen MJ, Paciga SA, Penninx BWJH, Perry A, Pfennig A, Potash JB, Preisig M, Reif A, Rivas F, Rouleau GA, Schofield PR, Schulze TG, Schwarz M, Scott L, Sinnamon GCB, Stahl EA, Strauss J, Turecki G, Van der Auwera S, Vedder H, Vincent JB, Willemsen G, Witt CC, Wray NR, Xi HS, Tadic A, Dahmen N, Schott BH, Cichon S, Nöthen MM, Ripke S, Mobascher A, Rujescu D, Lieb K, Roepke S, Schmahl C, Bohus M, Rietschel M. Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia. Transl Psychiatry 2017; 7:e1155. [PMID: 28632202 PMCID: PMC5537640 DOI: 10.1038/tp.2017.115] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 04/10/2017] [Indexed: 01/02/2023] Open
Abstract
Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case-control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10-7) and PKP4 (P=8.67 × 10-7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10-3]), SCZ (rg=0.34 [P=4.37 × 10-5]) and MDD (rg=0.57 [P=1.04 × 10-3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.
Collapse
Affiliation(s)
- S H Witt
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - F Streit
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Jungkunz
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - J Frank
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - S Awasthi
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - C S Reinbold
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - J Treutlein
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - F Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - A J Forstner
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | | | - L Dietl
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - C E Schwarze
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
| | - D Schendel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - J Strohmaier
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - A Abdellaoui
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - R Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
| | - T M Air
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - H Akil
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - N Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - O A Andreassen
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - G Babadjanova
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - N J Bass
- Division of Psychiatry, University College London, London, UK
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - F Bellivier
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - S Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - A Bethell
- National Center for Mental Health, Cardiff University, Cardiff, UK
| | - J M Biernacka
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - D H R Blackwood
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - M P Boks
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - A D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | | | - P Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - M Budde
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - H N Buttenschøn
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - E M Byrne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - P Cervantes
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - T-K Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - N Craddock
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - C Cruceanu
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - D Curtis
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - P M Czerski
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - U Dannlowski
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
| | - T Davis
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - E J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - A Di Florio
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - S Djurovic
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - E Domenici
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
| | - H J Edenberg
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
| | - B Etain
- Faculté de Médecine, Université Paris Est, Créteil, France
| | - S B Fischer
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - L Forty
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - C Fraser
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - M A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - J M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - K Gade
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - E S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - I Giegling
- Department of Psychiatry, University of Halle, Halle, Germany
| | - S D Gordon
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - K Gordon-Smith
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - H J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - E K Green
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
| | - T A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - J Guzman-Parra
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - L S Hall
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - M Hamshere
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - J Hauser
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - M Hautzinger
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
| | - U Heilbronner
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - S Herms
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - S Hitturlingappa
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - P Hoffmann
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - P Holmans
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - J-J Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - S Jamain
- Faculté de Médecine, Université Paris Est, Créteil, France
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
| | - I Jones
- National Center for Mental Health, Cardiff University, Cardiff, UK
| | - L A Jones
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - A Juréus
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - R S Kahn
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
| | | | - G Kirov
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - S Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - S Kloiber
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
| | - S V Knott
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - M Kogevinas
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - M Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - M Leber
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - M Leboyer
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
| | - Q S Li
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
| | - J Lissowska
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
| | - S Lucae
- Max Planck Institute of Psychiatry, Munich, Germany
| | - N G Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - F Mayoral-Cleries
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - S L McElroy
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - J D McKay
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - A McQuillin
- Division of Psychiatry, University College London, London, UK
| | - S E Medland
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - C M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Y Milaneschi
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
| | - P B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
| | - G W Montgomery
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
| | - G Morken
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
| | - O Mors
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - T W Mühleisen
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
| | - B Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
| | - R M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - C M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - J I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - M C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - L M O Loohuis
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | - R Ophoff
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
| | - L Oruc
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
| | - M J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - S A Paciga
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
| | - B W J H Penninx
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
| | - A Perry
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
| | - J B Potash
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - M Preisig
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - F Rivas
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - G A Rouleau
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
| | - P R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - T G Schulze
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
| | - M Schwarz
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - L Scott
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - G C B Sinnamon
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
| | - E A Stahl
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J Strauss
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - G Turecki
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - S Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - H Vedder
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - J B Vincent
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
| | - G Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C C Witt
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - N R Wray
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - H S Xi
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
| | - Bipolar Disorders Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Schizophrenia Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - A Tadic
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - N Dahmen
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - B H Schott
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - S Ripke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - A Mobascher
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - D Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - K Lieb
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - S Roepke
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - C Schmahl
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Bohus
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Rietschel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| |
Collapse
|
34
|
Wong TH, Sinclair S, Smith B, Fraser C, Morton CA. Real-world, single-centre experience of apremilast for the treatment of moderate to severe psoriasis. Clin Exp Dermatol 2017. [PMID: 28621002 DOI: 10.1111/ced.13150] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- T H Wong
- Department of Dermatology, Stirling Community Hospital, Livilands Gate, Stirling, FK8 2AU, UK
| | - S Sinclair
- Department of Dermatology, Stirling Community Hospital, Livilands Gate, Stirling, FK8 2AU, UK
| | - B Smith
- Department of Dermatology, Stirling Community Hospital, Livilands Gate, Stirling, FK8 2AU, UK
| | - C Fraser
- Department of Dermatology, Stirling Community Hospital, Livilands Gate, Stirling, FK8 2AU, UK
| | - C A Morton
- Department of Dermatology, Stirling Community Hospital, Livilands Gate, Stirling, FK8 2AU, UK
| |
Collapse
|
35
|
Sarosiek KA, Fraser C, Muthalagu N, Bhola PD, Chang W, McBrayer SK, Cantlon A, Fisch S, Golomb-Mello G, Ryan JA, Deng J, Jian B, Corbett C, Goldenberg M, Madsen JR, Liao R, Walsh D, Sedivy J, Murphy DJ, Carrasco DR, Robinson S, Moslehi J, Letai A. Developmental Regulation of Mitochondrial Apoptosis by c-Myc Governs Age- and Tissue-Specific Sensitivity to Cancer Therapeutics. Cancer Cell 2017; 31:142-156. [PMID: 28017613 PMCID: PMC5363285 DOI: 10.1016/j.ccell.2016.11.011] [Citation(s) in RCA: 166] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 09/13/2016] [Accepted: 11/17/2016] [Indexed: 01/20/2023]
Abstract
It is not understood why healthy tissues can exhibit varying levels of sensitivity to the same toxic stimuli. Using BH3 profiling, we find that mitochondria of many adult somatic tissues, including brain, heart, and kidneys, are profoundly refractory to pro-apoptotic signaling, leading to cellular resistance to cytotoxic chemotherapies and ionizing radiation. In contrast, mitochondria from these tissues in young mice and humans are primed for apoptosis, predisposing them to undergo cell death in response to genotoxic damage. While expression of the apoptotic protein machinery is nearly absent by adulthood, in young tissues its expression is driven by c-Myc, linking developmental growth to cell death. These differences may explain why pediatric cancer patients have a higher risk of developing treatment-associated toxicities.
Collapse
Affiliation(s)
- Kristopher A Sarosiek
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Cameron Fraser
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA
| | | | - Patrick D Bhola
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Weiting Chang
- Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Samuel K McBrayer
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Adam Cantlon
- Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Sudeshna Fisch
- Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Gail Golomb-Mello
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912, USA
| | - Jeremy A Ryan
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Jing Deng
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Brian Jian
- Department of Neurosurgery, Kaiser Permanente, Sacramento, CA 95815, USA
| | - Chris Corbett
- Department of Neurosurgery, Boston Children's Hospital, Boston, MA 02115, USA
| | - Marti Goldenberg
- Department of Neurosurgery, Boston Children's Hospital, Boston, MA 02115, USA
| | - Joseph R Madsen
- Harvard Medical School, Boston, MA 02115, USA; Department of Neurosurgery, Boston Children's Hospital, Boston, MA 02115, USA
| | - Ronglih Liao
- Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Dominic Walsh
- Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - John Sedivy
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912, USA
| | - Daniel J Murphy
- Cancer Research UK Beatson Institute, Glasgow G61 1BD, Scotland; Institute of Cancer Sciences, University of Glasgow, Glasgow G61 1BD, Scotland
| | - Daniel Ruben Carrasco
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Shenandoah Robinson
- Harvard Medical School, Boston, MA 02115, USA; Department of Neurosurgery, Boston Children's Hospital, Boston, MA 02115, USA
| | - Javid Moslehi
- Division of Cardiovascular Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Division of Hematology-Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Cardio-Oncology Program, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Anthony Letai
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Mayer 430, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
| |
Collapse
|
36
|
Malmqvist L, De Santiago L, Fraser C, Klistorner A, Hamann S. Exploring the methods of data analysis in multifocal visual evoked potentials. Doc Ophthalmol 2016; 133:41-8. [DOI: 10.1007/s10633-016-9546-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 06/09/2016] [Indexed: 11/24/2022]
|
37
|
Devpura S, Li H, Liu C, Fraser C, Ajlouni M, Movsas B, Chetty I. SU-D-204-07: Retrospective Correlation of Dose Accuracy with Regions of Local Failure for Early Stage Lung Cancer Patients Treated with Stereotactic Body Radiotherapy. Med Phys 2016. [DOI: 10.1118/1.4955612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
38
|
Burger JA, Landau DA, Taylor-Weiner A, Bozic I, Zhang H, Sarosiek K, Wang L, Stewart C, Fan J, Hoellenriegel J, Sivina M, Dubuc AM, Fraser C, Han Y, Li S, Livak KJ, Zou L, Wan Y, Konoplev S, Sougnez C, Brown JR, Abruzzo LV, Carter SL, Keating MJ, Davids MS, Wierda WG, Cibulskis K, Zenz T, Werner L, Cin PD, Kharchencko P, Neuberg D, Kantarjian H, Lander E, Gabriel S, O'Brien S, Letai A, Weitz DA, Nowak MA, Getz G, Wu CJ. Clonal evolution in patients with chronic lymphocytic leukaemia developing resistance to BTK inhibition. Nat Commun 2016; 7:11589. [PMID: 27199251 PMCID: PMC4876453 DOI: 10.1038/ncomms11589] [Citation(s) in RCA: 254] [Impact Index Per Article: 31.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 04/12/2016] [Indexed: 02/06/2023] Open
Abstract
Resistance to the Bruton's tyrosine kinase (BTK) inhibitor ibrutinib has been attributed solely to mutations in BTK and related pathway molecules. Using whole-exome and deep-targeted sequencing, we dissect evolution of ibrutinib resistance in serial samples from five chronic lymphocytic leukaemia patients. In two patients, we detect BTK-C481S mutation or multiple PLCG2 mutations. The other three patients exhibit an expansion of clones harbouring del(8p) with additional driver mutations (EP300, MLL2 and EIF2A), with one patient developing trans-differentiation into CD19-negative histiocytic sarcoma. Using droplet-microfluidic technology and growth kinetic analyses, we demonstrate the presence of ibrutinib-resistant subclones and estimate subclone size before treatment initiation. Haploinsufficiency of TRAIL-R, a consequence of del(8p), results in TRAIL insensitivity, which may contribute to ibrutinib resistance. These findings demonstrate that the ibrutinib therapy favours selection and expansion of rare subclones already present before ibrutinib treatment, and provide insight into the heterogeneity of genetic changes associated with ibrutinib resistance.
Collapse
MESH Headings
- Adenine/analogs & derivatives
- Adult
- Agammaglobulinaemia Tyrosine Kinase
- Aged, 80 and over
- Apoptosis
- Cell Transdifferentiation
- Clonal Evolution
- Drug Resistance, Neoplasm/genetics
- Female
- Histiocytic Sarcoma/etiology
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Male
- Middle Aged
- Mutation
- Neoplasm Recurrence, Local/genetics
- Piperidines
- Protein-Tyrosine Kinases/antagonists & inhibitors
- Protein-Tyrosine Kinases/genetics
- Pyrazoles/pharmacology
- Pyrazoles/therapeutic use
- Pyrimidines/pharmacology
- Pyrimidines/therapeutic use
- Selection, Genetic
Collapse
Affiliation(s)
- Jan A. Burger
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Dan A. Landau
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
- New York Genome Center, New York, New York 10013, USA
| | | | - Ivana Bozic
- Department of Mathematics, Program for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts 02138, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Huidan Zhang
- Department of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
- Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, China Medical University, Shenyang 110001, China
- Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110001, China
| | - Kristopher Sarosiek
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Lili Wang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Chip Stewart
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | - Jean Fan
- Center for Biomedical Informatics, Harvard Medical School, Boston Massachusetts 02115, USA
| | - Julia Hoellenriegel
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Mariela Sivina
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Adrian M. Dubuc
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Cameron Fraser
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Yulong Han
- Bioinspired Engineering and Biomechanics Center, Xi'an Jiaotong University, Xi'an 710049, China
| | - Shuqiang Li
- Fluidigm Corporation, South San Francisco, California 94080, USA
| | - Kenneth J. Livak
- Fluidigm Corporation, South San Francisco, California 94080, USA
| | - Lihua Zou
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | - Youzhong Wan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Sergej Konoplev
- Department of Hematopathology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | | | - Jennifer R. Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Lynne V. Abruzzo
- Department of Hematopathology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | | | - Michael J. Keating
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Matthew S. Davids
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - William G. Wierda
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | | | - Thorsten Zenz
- National Center for Tumors and German Cancer Research Center (DKFZ), 69121 Heidelberg, Germany
| | - Lillian Werner
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Paola Dal Cin
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Peter Kharchencko
- Center for Biomedical Informatics, Harvard Medical School, Boston Massachusetts 02115, USA
| | - Donna Neuberg
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Hagop Kantarjian
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Eric Lander
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | | | - Susan O'Brien
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Anthony Letai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - David A. Weitz
- Department of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Martin A. Nowak
- Department of Mathematics, Program for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts 02138, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Gad Getz
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | - Catherine J. Wu
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| |
Collapse
|
39
|
Eckstein K, Robinson JC, Fraser C. Physiological responses of banana (MusaAAA; Cavendish sub-group) in the subtropics. Y. Influence of leaf tearing on assimilation potential and yield. ACTA ACUST UNITED AC 2015. [DOI: 10.1080/14620316.1996.11515431] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
40
|
Sevak P, Aldridge K, Fraser C, Glide-Hurst C, Walker E. Dosimetric and Clinical Outcomes with Use of a Breast Cup in Cancer Patients With Large or Pendulous Breasts. Int J Radiat Oncol Biol Phys 2015. [DOI: 10.1016/j.ijrobp.2015.07.655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
41
|
Kumarasiri A, Kim J, Liu C, Jomaa M, Fraser C, Chetty I, Siddiqui F. Substantial Volumetric and Dosimetric Changes to the Pharyngeal Constrictor Elucidated From Daily Deformable Dose Accumulation in Head and Neck Radiation Therapy. Int J Radiat Oncol Biol Phys 2015. [DOI: 10.1016/j.ijrobp.2015.07.1342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
42
|
Moran J, Feng M, Marsh R, Griffith K, Benedetti L, Grills I, Walker E, Fraser C, Raymond S, Blauser J, Gielda B, Vicini F, Wilson M, Dryden D, Parent K, Ewald A, Matuszak M, Jagsi R, Grubb M, Pierce L. Impact of Cardiac Sparing Techniques on Cardiac Doses for Left Breast Cancer Patients: A Multicenter Analysis. Int J Radiat Oncol Biol Phys 2015. [DOI: 10.1016/j.ijrobp.2015.07.609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
43
|
Albert JG, Humbla O, McAlindon ME, Davison C, Seitz U, Fraser C, Hagenmüller F, Noetzel E, Spada C, Riccioni ME, Barnert J, Filmann N, Keuchel M. A Simple Evaluation Tool (ET-CET) Indicates Increase of Diagnostic Skills From Small Bowel Capsule Endoscopy Training Courses: A Prospective Observational European Multicenter Study. Medicine (Baltimore) 2015; 94:e1941. [PMID: 26512623 PMCID: PMC4985436 DOI: 10.1097/md.0000000000001941] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Small bowel capsule endoscopy (SBCE) has become a first line diagnostic tool. Several training courses with a similar format have been established in Europe; however, data on learning curve and training in SBCE remain sparse.Between 2008 and 2011, different basic SBCE training courses were organized internationally in UK (n = 2), Italy (n = 2), Germany (n = 2), Finland (n = 1), and nationally in Germany (n = 10), applying similar 8-hour curricula with 50% lectures and 50% hands-on training. The Given PillCam System was used in 12 courses, the Olympus EndoCapsule system in 5, respectively. A simple evaluation tool for capsule endoscopy training (ET-CET) was developed using 10 short SBCE videos including relevant lesions and normal or irrelevant findings. For each video, delegates were required to record a diagnosis (achievable total score from 0 to 10) and the clinical relevance (achievable total score 0 to 10). ET-CET was performed at baseline before the course and repeated, with videos in altered order, after the course.Two hundred ninety-four delegates (79.3% physicians, 16.3% nurses, 4.4% others) were included for baseline analysis, 268 completed the final evaluation. Forty percent had no previous experience in SBCE, 33% had performed 10 or less procedures. Median scores for correct diagnosis improved from 4.0 (IQR 3) to 7.0 (IQR 3) during the courses (P < 0.001, Wilcoxon), and for correct classification of relevance of the lesions from 5.0 (IQR 3) to 7.0 (IQR 3) (P < 0.001), respectively. Improvement was not dependent on experience, profession, SBCE system, or course setting. Previous experience in SBCE was associated with higher baseline scores for correct diagnosis (P < 0.001; Kruskal-Wallis). Additionally, independent nonparametric partial correlation with experience in gastroscopy (rho 0.33) and colonoscopy (rho 0.27) was observed (P < 0.001).A simple ET-CET demonstrated significant improvement of diagnostic skills on completion of formal basic SBCE courses with hands-on training, regardless of preexisting experience, profession, and course setting. Baseline scores for correct diagnoses show a plateau after interpretation of 25 SBCE before courses, supporting this number as a compromise for credentialing. Experience in flexible endoscopy may be useful before attending an SBCE course.
Collapse
Affiliation(s)
- J G Albert
- From the Department of Internal Medicine I, JW Goethe Universität, Frankfurt, Germany (JGA); Department of Internal Medicine, Bethesda Krankenhaus Bergedorf, Hamburg, Germany (OH, MK); Department of Gastroenterology, University Hospital, Sheffield, United Kingdom (MEM); Department of Gastroenterology, South Tyneside NHS Trust, South Tyneside, United Kingdom (CD); Department of Gastroenterology, Kreiskrankenhaus Bergstrasse, Heppenheim, Germany (US); Wolfson Unit, St. Marks's Hospital, London, United Kingdom (CF); 1st Medical Department, Asklepios Klinik Altona, Hamburg, Germany (FH, MK); Department of Gastroenterology, Sana Klinikum Lichtenberg, Berlin, Germany (EN); Endoscopy Unit, Università Cattolica, Roma, Italy (CS, MER); Department of Gastroenterology, Klinikum, Augsburg, Germany (JB); Institute of Biostatistics and Mathematical Modeling, JW Goethe Universität, Frankfurt, Germany (NF)
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
44
|
Sarosiek KA, Ziller M, Fraser C, Bhola P, Ryan J, Deng J, Jian B, Goldenberg M, Madsen J, Carrasco R, Robinson S, Moslehi J, Letai A. Abstract 4728: Apoptotic priming is regulated by a developmental program and predisposes children to therapy-induced toxicity. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-4728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Pediatric cancer patients frequently suffer higher levels of treatment-induced toxicities than adults, limiting the use of potentially curative therapies. For example, brain irradiation contributes to the cure of medulloblastomas in 80% of children yet also causes cell death in healthy neurons, resulting in a permanent and devastating loss of IQ. Likewise, children commonly experience dose-limiting cardiotoxicity from doxorubicin treatment. These treatments are comparatively well tolerated in adults yet the basis for this dramatic contrast in sensitivity is unknown. Both radiation and cytotoxic chemotherapies can induce an apoptotic cell death, prompting us to hypothesize that apoptosis may be regulated in a fundamentally different manner in children versus adults.
By testing the functional state of the apoptotic pathway in tissues with BH3 Profiling, we found that healthy brain, heart and kidney tissues from young mice are extremely sensitive to pro-apoptotic signals and are therefore “primed for apoptosis.” In stark contrast, these same tissues are completely insensitive to even saturating amounts of pro-apoptotic signals in adult mice. Apoptosis could be triggered in adult brain, heart or kidney cells only when complemented with exogenous BAX protein suggesting that these tissues lack sufficient levels of BAX or BAK for mitochondrial permeabilization and are thus “incompetent for apoptosis.” Immunoblotting revealed that BAX and BAK protein levels are strongly downregulated in these tissues during postnatal development and become nearly undetectable by adulthood, along with several other components of the apoptotic machinery. Parallel studies with spleen and bone marrow demonstrated high levels of apoptotic priming in young animals which continued into adulthood, highlighting the organ-specific nature of apoptosis regulation. In agreement with these findings, we observed apoptotic cell death in response to radiation damage in the brain, heart and kidneys of early postnatal but not adult mice. Likewise, the extent of doxorubicin-induced damage to cardiac tissue correlated strongly with changes in apoptotic priming and competence. Furthermore, we utilized BAX and/or BAK knockout mice to characterize the pivotal roles of these proteins in regulating apoptotic competence and damage responses in somatic tissues.
We extended these findings to humans by BH3 profiling normal brain tissue and confirmed that brain tissue in young children is primed to undergo apoptosis while in adults it is apoptotically incompetent. Finally, we identified the epigenetic mechanisms that modulate apoptotic pathways during postnatal development. Our findings elucidate the molecular mechanisms responsible for the devastating vital organ sensitivity to damage in children and a strategy for its prevention.
Citation Format: Kristopher A. Sarosiek, Michael Ziller, Cameron Fraser, Patrick Bhola, Jeremy Ryan, Jing Deng, Brian Jian, Marti Goldenberg, Joseph Madsen, Ruben Carrasco, Shenandoah Robinson, Javid Moslehi, Anthony Letai. Apoptotic priming is regulated by a developmental program and predisposes children to therapy-induced toxicity. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4728. doi:10.1158/1538-7445.AM2015-4728
Collapse
Affiliation(s)
| | | | | | | | | | - Jing Deng
- 1Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | | | | | | |
Collapse
|
45
|
Kumarasiri A, Siddiqui F, Liu C, Kamal M, Fraser C, Chetty I, Kim J. SU-E-J-66: Significant Anatomical and Dosimetric Changes Observed with the Pharyngeal Constrictor During Head and Neck Radiotherapy Elicited From Daily Deformable Image Registration and Dose Accumulation. Med Phys 2015. [DOI: 10.1118/1.4924153] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
46
|
Snyder K, Kim J, Reding A, Fraser C, Lu S, Gordon J, Ajlouni M, Movsas B, Chetty I. MO-F-CAMPUS-T-04: Development and Evaluation of a Knowledge-Based Model for Treatment Planning of Lung Cancer Patients Using Stereotactic Body Radiotherapy (SBRT). Med Phys 2015. [DOI: 10.1118/1.4925460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
47
|
Kerman R, Jindra P, Jeewa A, Burki S, Fraser C, Adachi I. Immune Profiling Pre/Post Berlin VAD Implant and Pre/Post Transplantation of Pediatric Heart Failure Patients. J Heart Lung Transplant 2015. [DOI: 10.1016/j.healun.2015.01.927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
|
48
|
Kirk S, Fallon D, Fraser C, Robinson G, Vassallo G. Supporting parents following childhood traumatic brain injury: a qualitative study to examine information and emotional support needs across key care transitions. Child Care Health Dev 2015; 41:303-13. [PMID: 25039833 DOI: 10.1111/cch.12173] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/03/2014] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Traumatic brain injury (TBI) is the leading cause of death and acquired disability in childhood. Research has demonstrated that TBI can lead to long-term physical, cognitive, emotional and behavioural difficulties for children and parental stress. Less is known about how parents experience a childhood brain injury and their information and support needs. This study aimed to examine parents' experiences and support needs following a childhood TBI from the time of the accident to their child's discharge home. METHODS Qualitative semi-structured interviews were conducted with 29 parents/carers of children who had experienced a severe TBI. Participants were recruited from one children's tertiary centre in the UK. Data were analysed using the Framework approach. RESULTS Parents had unmet information and emotional support needs across the care trajectory from the time of the accident to their child's return home. Information needs related to the impact of the TBI on their child; current and future treatment/rehabilitation plans; helping their child and managing their behaviour; accessing services/support. They lacked information and support for care transitions. In different settings parents faced particular barriers to having their information needs met. Parents' felt they needed emotional support in coming to terms with witnessing the accident and the loss of their former child. Lack of community support related not only to service availability but to a general lack of understanding of the impact of TBI on children, particularly when this was invisible. Overall parents felt unsupported in coping with children's behavioural and psychological difficulties. DISCUSSION Taking a holistic approach to examining parents' experiences and support needs has enabled their changing needs to be highlighted across key care transitions within hospital and community settings and the service implications identified. Improvements in care co-ordination across care transitions are needed to ensure continuity of care and integration of support.
Collapse
Affiliation(s)
- S Kirk
- School of Nursing Midwifery and Social Work, University of Manchester, Manchester, UK
| | | | | | | | | |
Collapse
|
49
|
Castillo MM, Mowatt G, Lois N, Elders A, Fraser C, Amoaku W, Burr JM, Lotery AJ, Ramsay CR, Azuara-Blanco A. Optical coherence tomography for the diagnosis of neovascular age-related macular degeneration: a systematic review. Eye (Lond) 2014; 28:1399-406. [PMID: 25233820 PMCID: PMC4268457 DOI: 10.1038/eye.2014.214] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2014] [Accepted: 08/12/2014] [Indexed: 02/03/2023] Open
Abstract
UNLABELLED The purpose is to study the diagnostic performance of optical coherence tomography (OCT) and alternative diagnostic tests for neovascular age-related macular degeneration (nAMD). Methods employed are as follows:systematic review and meta-analysis; INDEX TEST OCT including time-domain (TD-OCT) and the most recently developed spectral domain (SD-OCT); comparator tests: visual acuity, clinical evaluation (slit lamp), Amsler chart, colour fundus photographs, infra-red reflectance, red-free images/blue reflectance, fundus autofluorescence imaging (FAF), indocyanine green angiography (ICGA), preferential hyperacuity perimetry (PHP), and microperimetry; reference standard: fundus fluorescein angiography. Databases searched included MEDLINE, MEDLINE In Process, EMBASE, Biosis, SCI, the Cochrane Library, DARE, MEDION, and HTA database. Last literature searches: March 2013. Risk of bias assessed using QUADAS-2. Meta-analysis models were fitted using hierarchical summary receiver operating characteristic (HSROC) curves. Twenty-two studies (2 abstracts and 20 articles) enrolling 2124 participants were identified, reporting TD-OCT (12 studies), SD-OCT (1 study), ICGA (8 studies), PHP (3 studies), Amsler grid, colour fundus photography and FAF (1 study each). Most studies were considered to have a high risk of bias in the patient selection (55%, 11/20), and flow and timing (40%, 8/20) domains. In a meta-analysis of TD-OCT studies, sensitivity and specificity (95% CI) were 88% (46-98%) and 78% (64-88%), respectively. There was insufficient information to undertake meta-analysis for other tests. TD-OCT is a sensitive test for detecting nAMD, although specificity was only moderate. Data on SD-OCT are sparse. Diagnosis of nAMD should not rely solely on OCT.
Collapse
Affiliation(s)
- M M Castillo
- Health Services Research Unit, University of Aberdeen, Scotland, UK
| | - G Mowatt
- Health Services Research Unit, University of Aberdeen, Scotland, UK
| | - N Lois
- Centre for Vision and Vascular Science, Queen's University Belfast, Belfast, UK
| | - A Elders
- Glasgow Caledonian University, Glasgow, UK
| | - C Fraser
- Health Services Research Unit, University of Aberdeen, Scotland, UK
| | - W Amoaku
- University of Nottingham, Nottingham, UK
| | - J M Burr
- University of St Andrews, St Andrews, UK
| | - A J Lotery
- University of Southampton, Southampton, UK
| | - C R Ramsay
- Health Services Research Unit, University of Aberdeen, Scotland, UK
| | - A Azuara-Blanco
- Centre for Vision and Vascular Science, Queen's University Belfast, Belfast, UK
| |
Collapse
|
50
|
Brigic A, Southgate A, Sibbons PD, Clark SK, Fraser C, Kennedy RH. Full-thickness laparoendoscopic stapled excision of colonic lesion in a porcine ex vivo model. Endoscopy 2014; 45 Suppl 2 UCTN:E167-8. [PMID: 23801285 DOI: 10.1055/s-0032-1326462] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- A Brigic
- Department of Surgery, St. Mark's Hospital and Academic Institute, Watford Road, London, United Kingdom
| | | | | | | | | | | |
Collapse
|