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Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017
James, Spencer L , Castle, Chris D, Dingels, Zachary V, Fox, Jack T, Hamilton, Erin B, Sylte, Dillon O , Henry, Nathaniel J , LeGrand, Kate E , Abdelalim, Ahmed , Abdulkader, Rizwan Suliankatchi , Abedi, Aidin , Eshete, Akine , Abushouk, Abdelrahman Ibrahim , Adebayo, Oladimeji , Agudelo‐Botero, Marcela , Ahmad, Tauseef , Aichour, Miloud Taki Eddine, Alahdab, Fares , Alamene, Genet Melak, Alanezi, Fahad , Alebel, Animut , Alema, Niguse Meles , Ali, Beriwan Abdulqadir, Alikhani, Mahtab , Alipour, Vahid, Almasri, Nihad A. , Altirkawi, Khalid A , Amer, Yasser Sami , Amini, Saeed, Amit, Arianna Maever L. , Andrei, Cătălina Liliana , Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw , Arabloo, Jalal , Arefi, Zohreh , Aremu, Olatunde , Ariani, Filippo , Arora, Amit , Asghari, Babak , Awoke, Nefsu , Quintanilla, Beatriz Paulina Ayala , Ayano, Getinet , Ayanore, Martin Amogre , Azari, Samad , Azarian, Ghasem , Badawi, Alaa, Badiye, Ashish , Bagli, Eleni , Baig, Atif Amin , Bairwa, Mohan , Bakhtiari, Ahad , Banach, Maciej , Banerjee, Srikanta , Banik, Palash Chandra , Banstola, Amrit , Barker‐Collo, Suzanne , Bärnighausen, Till , Barrero, Lope H. , Barzegar, Akbar , Baye, Bayisa Abdissa , Bekuma, Tariku Tesfaye , Belete, Habte , Bennett, Derrick , Berhe, Kidanemaryam , Bhardwaj, Pankaj , Bhat, Anusha Ganapati , Bhattacharyya, Krittika , Bijani, Ali , Sayeed, Muhammad Shahdaat Bin , Borzì, Antonio Maria , Bražinová, Alexandra, Брико, Н. И. , Budhathoki, Shyam Sundar , Car, Josip , Cárdenas, Rosario , Carvalho, Félix , Castaldelli-Maia, João Maurício , Castañeda-Orjuela, Carlos A , Castelpietra, Giulio , Catalá-López, Ferrán , Cerin, Ester , Chandan, Joht Singh , Chanie, Wagaye Fentahun, Chattu, Soosanna Kumary , Chattu, Vijay Kumar , Chaudhary, Neha , Cho, Daniel , Chowdhury, Mohiuddin Ahsanul Kabir , Chu, Dinh‐Toi , Colquhoun, Samantha , Costa, Vera Marisa , Damiani, Giovanni , Dávila-Cervantes, Claudio Alberto , Demoz, Gebre Teklemariam , Demsie, Desalegn Getnet , Derakhshani, Afshin , Deribe, Kebede , Desai, Rupak , Nasab, Mostafa Dianati, Silva, Diana Dias da , Forooshani, Zahra Sadat Dibaji, Doyle, Kerrie , Driscoll, Tim , Dubljanin, Eleonora , Adema, Bereket Duko , Eagan, Arielle Wilder , Eftekhari, Aziz , Ehsani‐Chimeh, Elham , Elemineh, Demelash Abewa , El-Jaafary, Shaimaa I , El‐Khatib, Ziad , Ellingsen, Christian Lycke , Emamian, Mohammad Hassan , Endalew, Daniel Adane , Faris, Pawan , Faro, André , Farzadfar, Farshad , Fatahi, Yousef , Fekadu, Wubalem , Ferede, Tomas Y, Fereshtehnejad, Seyed‐Mohammad , Fernandes, Eduarda , Ferrara, Pietro , Feyissa, Garumma Tolu , Fischer, Florian , Foláyan, Morẹ́nikẹ́ Oluwátóyìn , Francis, Joel M , Fukumoto, Takeshi , Geberemariyam, Biniyam Sahiledengle, Gebre, Abadi Kahsu , Gebremedhin, Ketema Bizuwork , Gebremeskel, Gebreamlak Gebremedhn , Gebremichael, Berhe , Gedefaw, Getnet , Geta, Birhanu, Ghafourifard, Mansour , Ghamari, Farhad , Ghashghaee, Ahmad , Gholamian, Asadollah , Gill, Tiffany K, Goulart, Alessandra C. , Grada, Ayman , Gubari, Mohammed Ibrahim Mohialdeen , Guo, Yuming , Haagsma, Juanita A. , Hafezi‐Nejad, Nima , Hall, Brian J. , Hamadeh, Randah R , Hasan, Md. Mehedi , Hassen, Hamid Yimam , Havmoeller, Rasmus, Heydarpour, Fatemeh , Hı́jar, Martha , Ho, Hung Chak , Hoang, Chi Linh , Hole, Michael K., Hossain, Naznin , Hosseinzadeh, Mehdi , Hostiuc, Sorin , Ibitoye, Segun Emmanuel , Ilić, Irena , Ilić, Milena , Inbaraj, Leeberk Raja , Indriasih, Endang , Irvani, Seyed Sina Naghibi , Islam, Sheikh Mohammed Shariful , Islam, M. Mofizul , Ivers, Rebecca , Jacobsen, Kathryn H. , Jahani, Mohammad Ali, Jahanmehr, Nader , Jakovljević, Mihajlo , Jayaraman, Sudha , Jha, Ravi Prakash , John-Akinola, Yetunde O. , Joseph, Nitin , Joukar, Farahnaz, Jozwiak, Jacek Jerzy , Jürisson, Mikk , Kadel, Rajendra , Kahsay, Amaha , Kalankesh, Leila R , Kalhor, Rohollah , Kamil, Teshome Abegaz, Kapoor, Neeti , Karami, Manoochehr , Kasaeian, Amir , Kassaye, Hagazi Gebremedhin, Kavetskyy, Taras , Kebede, Hafte Kahsay , Keiyoro, Peter Njenga, Kelbore, Abraham Getachew , Kelkay, Bayew, Khader, Yousef , Khafaie, Morteza Abdullatif , Khalid, Nauman , Khalil, Ibrahim A, Khalilov, Rovshan , Khan, Ejaz Ahmad , Khan, Maseer , Khanna, Tripti, Shadmani, Fatemeh Khosravi , Khundkar, Roba , Kiirithio, Daniel N, Kim, Yun Jin , Kısa, Adnan , Kısa, Sezer , Komaki, Hamidreza , Kondlahalli, Shivakumar K M, Korshunov, Vladimir Andreevich , Kraemer, Moritz U. G. , Krishan, Kewal , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, Vivek , Kumar, G Anil , Kumar, Manasi , Kumaresh, Girikumar, Kurmi, Om , Kuti, Oluwatosin, Lami, Faris , Lamichhane, Prabhat , Lang, Justin J. , Lasrado, Savita , Leasher, Janet L , Lee, Shaun Wen Huey , Lenjebo, Tsegaye Lolaso , Li, Shanshan , Linn, Shai , Liu, Xuefeng , Lunevičius, Raimundas , Lyons, Ronan A , Madadin, Mohammed , Razek, Muhammed Magdy Abd El, Mahotra, Narayan Bahadur , Majdán, Marek , Malagón-Rojas, Jeadran , Maled, Venkatesh , Manafi, Navid , Manafi, Amir , Manda, Ana-Laura, Mansour-Ghanaei, Fariborz, Mansouri, Borhan , March, Lyn , Mason‐Jones, Amanda J. , Masoumi, Seyedeh Zahra , Massenburg, Benjamin B. , Maulik, Pallab K , Meles, Gebrekiros Gebremichael , Melketsedik, Zeleke Aschalew , Memiah, Peter , Mendoza, Walter, Menezes, Ritesh G. , Mengesha, Melkamu Merid , Meretoja, Tuomo J , Meretoja, Atte , Merie, Hayimro Edemealem , Miazgowski, Bartosz , Miazgowski, Tomasz , Miller, Ted R. , Mini, GK , Мirrakhimov, Erkin М , Mirzaei-Alavijeh, Mehdi , Mithra, Prasanna , Moazen, Babak , Moghadaszadeh, Masoud, Mohammad, Yousef , Mohammad, Karzan Abdulmuhsin , Mezerji, Naser Mohammad Gholi, Mohammadian-Hafshejani, Abdollah , Mohammadoo-Khorasani, Milad, Mohammed, Shafiu , Mohammed, Jemal , Mohebi, Farnam , Molokhia, Mariam , Monasta, Lorenzo , Moodley, Yoshan , Moosazadeh, Mahmood , Moradi, Masoud , Moradi, Ghobad , Moradpour, Farhad , Morawska, Lídia , Velásquez, Ilais Moreno , Mossie, Tilahun Belete , Murthy, Srinivas , Musa, Kamarul Imran , Mustafa, Ghulam , Nabhan, Ashraf , Nagarajan, Ahamarshan Jayaraman , Naik, Gurudatta , Naimzada, Mukhammad David , Nangia, Vinay, Nascimento, Bruno Ramos , Naserbakht, Morteza , Ndwandwe, Duduzile , Negoi, Ionuţ , Ngunjiri, Josephine W, Nguyen, Cuong Tat , Nikbakhsh, Rajan , Ningrum, Dina Nur Anggraini , Nnaji, Chukwudi A , Nyasulu, Peter S. , Ogbo, Felix Akpojene , Oghenetega, Onome Bright , Okunga, Emmanuel , Olagunju, Andrew T , Olagunju, Tinuke O , Bali, Ahmed Omar , Onwujekwe, Obinna , Asante, Kwaku Oppong , Orpana, Heather , Otstavnov, Nikita , Otstavnov, Stanislav S , Mahesh, P A , Padubidri, Jagadish Rao , Pakhalé, Smita , Pakshir, Keyvan , Panda‐Jonas, Songhomitra, Park, Eun‐Kee , Patel, Sangram Kishor , Pathak, Ashish , Pati, Sanghamitra , Paulos, Kebreab , Pepito, Veincent Christian Filipino , Pham, Hai Quang , Pinheiro, Marina , Полибин, Р. В. , Polinder, Suzanne, Poustchi, Hossein, Prakash, Swayam , Pribadi, Dimas Ria Angga , Puri, Parul , Syed, Zahiruddin Quazi, Rabiee, Navid , Radfar, Amir , Rafay, Anwar, Rafiee, Ata , Rafiei, Alireza , Rahim, Fakher , Rahimi, Siavash , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rajabpour-Sanati, Ali, Rajati, Fatemeh , Rakovac, Ivo , Ranganathan, Kavitha , Rao, Sowmya J, Rashedi, Vahid , Rastogi, Prateek , Rathi, Priya , Rawal, Lal , Rawassizadeh, Reza , Renjith, Vishnu , Renzaho, André M. N. , Resnikoff, Serge , Rezapour, Aziz, Rickard, Jennifer , Ríos-González, Carlos Miguel , Sabde, Yogesh , Saddik, Basema , Safari, Saeed , Safarpour, Hamid , Safdarian, Mahdi , Sajadi, S. Mohammad , Salamati, Payman, Salehi, Farkhonde , Zahabi, Saleh Salehi , Salem, Marwa Rashad , Salem, Hosni , Salman, Omar , Salz, Inbal, Samy, Abdallah M , Sanabria, Juan , Sànchez-Riera, Lídia , Santric-Milicevic, Milena M , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Sawyer, Susan M. , Saxena, Sonia , Schwebel, David C. , Seedat, Soraya , Senthilkumaran, Subramanian , Seyedmousavi, Seyedmojtaba , Sha, Feng , Shaahmadi, Faramarz , Shaikh, Masood Ali , Shams-Beyranvand, Mehran , Shamsizadeh, Morteza , Sharif-Alhoseini, Mahdi , Sharifi, Hamid , Sheikh, Aziz , Shigematsu, Mika, Shin, Jae Il , Shiri, Rahman , Sigfúsdóttir, Inga Dóra, Singh, Pankaj Kumar , Sinha, Dhirendra Narain , Smarandache, Catalin-Gabriel , Soleymani, Bija, Soriano, Joan B. , Soyiri, Ireneous N , Stein, Dan J. , Sufiyan, Mu’awiyyah Babale , Suleria, Hafiz Ansar Rasul , Sykes, Bryan L. , Tabarés‐Seisdedos, Rafael , Tabb, Karen M. , Wogayehu, Biruk , Tamiru, Animut Tagele , Tarigan, Ingan Ukur , Tefera, Yibekal Manaye , Tekle, Merhawi Gebremedhin , Tekulu, Gebretsadkan Hintsa , Kassie, Ayenew , Bedaso, Asres , Tlaye, Kenean Getaneh , Tohidinik, Hamid Reza , Topór-Mądry, Roman , Tripathy, Jaya Prasad , Tsai, Alexander C. , Car, Lorainne Tudor , Ullah, Saif , Ullah, Irfan , Umar, Maida, Unnikrishnan, Bhaskaran , Upadhyay, Era , Valdéz, Pascual , Violante, Francesco Saverio , Waheed, Yasir , Teklay, Girmay , Werdecker, Andrea , Wiangkham, Taweewat , Wolde, Haileab Fekadu , Woldeyes, Dawit Habte , Yadav, Rajaram , Yadollahpour, Ali , Yano, Yuichiro , Yaya, Sanni , Yazdi‐Feyzabadi, Vahid , Yisma, Engida , Yoon, Seok‐Jun , Youm, Yoosik , Younis, Mustafa Z , Yousefi, Zabihollah , Yu, Yong , Yusefzadeh, Hasan, Moghadam, Telma Zahirian , Zaman, Sojib Bin , Zamanian, Maryam , Zhang, Zhi-Jiang , Zhang, Yunquan , Zodpey, Sanjay , Dandona, Lalit , Dandona, Rakhi , Hay, Simon I , Mokdad, Ali H. , Reiner, Robert C. , Sartorius, Benn , Vos, Theo , Topór‐Mądry, Roman , Zahiruddin, Quazi Syed , Dianatinasab, Mostafa , Sanati, Ali Rajabpour , Baig, Atif Amin , Kumar, Vivek , Stein, Dan J , Castaldelli-Maia, João M , Farzadfar, Farshad , Shin, Jae I L , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Belete, T , Liu, Zichen, Roberts, Nicholas L S , Abdoli, Amir , Abdollahpour, Ibrahim , Ahmed, Rushdiá , Ahmed, Muktar Beshir , Alghnam, Suliman Abdullah , Al‐Hajj, Samar , Ali, Saqib , Alinia, Cyrus , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Amini, Saeed, Antonio, Carl Abelardo T. , Arab-Zozani, Morteza , Asaad, Malke , Balachandran, Arun , Bayati, Mohsen , Bedi, Neeraj , Behzadifar, Masoud , Benjet, Corina L. , Benseñor, Isabela M. , Bibi, Sadia , Borges, Guilherme , Boufous, Soufiane , Chatziralli, Irini , Constantin, María Magdalena , Daryani, Ahmad , Demeke, Feleke Mekonnen , Demis, Asmamaw , Forooshani, Zahra Sadat Dibaji, Duko, Bereket , Zaki, Maysaa El Sayed , Adane, Daniel, Eskandarieh, Sharareh , Yeheyis, Tomas Y. , Filip, Irina , Foroutan, Masoud , Franklin, Richard C. , Gill, Tiffany K. , Grivna, Michal , Guimarães, Rafael Alves , Gupta, Gaurav Kumar , Haghparast‐Bidgoli, Hassan , Hamidi, Samer , Haro, Josep María , Hasanzadeh, Amir , Hassanipour, Soheil , Hassankhani, Hadi , Hayat, Khezar , Hendrie, Delia V. , Holla, Ramesh , Hu, Guoqing , Ilesanmi, Olayinka Stephen , Jalilian, Farzad , Jayatilleke, Achala Upendra , Jonas, Jost B , Jungari, Suresh Banayya , Kabir, Ali , Kanchan, Tanuj , Rade, Bayew Kelkay , Khalil, Ibrahim A, Khammarnia, Mohammad , Khazaie, Habibolah , Kim, Young‐Eun , Kim, Daniel , Shivakumar, KM , Koyanagi, Ai , Kumar, Nithin , Vecchia, Carlo La , Lansingh, Van Charles , Laryea, Dennis Odai , Latifi, Arman , Lauriola, Paolo , Levi, Miriam , Lopez, Alan D , Lotufo, Paulo A. , Majeed, Azeem , Malekzadeh, Reza , Malta, Déborah Carvalho , Manjunatha, Narayana , Mansour‐Ghanaei, Fariborz , Mansournia, Mohammad Alì , Maravilla, Joemer Calderon , Melese, Addisu Dagnaw , Aschalew, Zeleke , Mengesha, Meresa Berwo , Meštrović, Tomislav , Mirică, Andreea , Mohamadi, Efat , Darwesh, Aso Mohammad , Mohammadpourhodki, Reza , Moradi‐Lakeh, Maziar , Morisaki, Naho , Morrison, Shane D. , Muluneh, Atalay Goshu , Najafi, Farid , Nayak, Vinod C , Nguyen, Huong Lan Thi , Oh, In‐Hwan , Ota, Erika , Patton, George , Peden, Amy E. , Pereira, Jeevan , Phillips, Michael , Rabiee, Mohammad , Rawaf, Salman , Ribeiro, Ana Isabel , Ronfani, Luca , Roshandel, Gholamreza , Saad, Anas M. , Sabour, Siamak , Safari‐Faramani, Roya , Salamati, Payman, Sarker, Abdur Razzaque , Sayyah, Mehdi , Sepanlou, Sadaf Ghajarieh , Shahabi, Saeed , Siabani, Soraya , Singh, Jasvinder A. , Smith, Emma U.R. , Soheili, Amin , Soltanian, Ali Reza , Sorrie, Muluken Bekele , Stokes, Mark Andrew , Tadesse, Degena Bahrey , Tehrani‐Banihashemi, Arash , Tesfay, Berhe Etsay , Thapar, Rekha , Tran, Bach Xuan , Tran, Khanh Bao , Uthman, Olalekan Abdulrahman , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vlassov, Vasily , Wondafrash, Dawit Zewdu , Wondmeneh, Temesgen Gebeyehu , Wondmieneh, Adam Belay , Wu, Aimin , YIP, PAUL S. F. , Yonemoto, Naohiro , Yu, Chuanhua , Zaidi, Zoubida , Zamani, Mohammad , Zandian, Hamed , Zarei, Ahmad , Zare, Fatemeh, Degenhardt, Louisa J , Dharmaratne, Samath Dhamminda , Olagunju, Andrew T , Baig, Atif Amin , Desai, Rupak , Alahdab, Fares , Rahim, Fakher

Injury Prevention | April 24, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i96-i114

10.1136/injuryprev-2019-043494 | PMID 32332142 Get It

Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.
Posthypoxic action myoclonus (the Lance-Adams syndrome)
Marcellino, Chris , Wijdicks, Eelco F. M. , Marcellino, Christopher , Wijdicks, Eelco Fm

BMJ Case Reports | April 17, 2020 | Volume: 13 | Issue: 4 | Pages: e234332

10.1136/bcr-2020-234332 | PMID 32303528 Get It

Author response: Characterising a healthy adult with a rare HAO1 knockout to support a therapeutic strategy for primary hyperoxaluria
McGregor, Tracy L., Yee, Elaine, Nioi, Paul , Ticau, Simina , Pelosi, Marissa, Loken, Perry R , Lawlor, Deborah A, Huang, Qin , Erbe, David V., Hunt, Karen A. , Mason, Dan , Finer, Sarah , Lawlor, Deborah A, Fauman, Eric B. , Griffiths, Chris , MacArthur, Daniel G. , Trembath, Richard C. , Oglesbee, Devin , Lieske, John C. , Wright, John , Heel, David A. van

No container title available | March 31, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.7554/elife.54363.sa2 Get It

Abstract A142: Drug combination screen to identify novel synergy with Minnelide
Tang, Nanyun , Sereduk, Chris , Saluja, Ashok K. , Velagapudi, Mohana, Han, Haiyong , Hoff, Daniel D. Von , Yin, Hongwei

Molecular Cancer Therapeutics | March 26, 2020 | Volume: 18 | Issue: 12_Supplement | Pages: A142-A142

10.1158/1535-7163.targ-19-a142 Get It

Abstract Triptolide, which was initially extracted from a Chinese medicinal herb, demonstrates potent antitumor, anti-inflammatory, and immunosuppressive properties, yet it is clinically limited due to its poor solubility, bioavailability, and toxicity. Minnelide, a water-soluble analog of triptolide, has potent antiproliferative activity. It is currently in Phase I/II clinical trials for Acute Myeloid Leukemia (AML) and 7 solid tumor indications, including advanced gastrointestinal tumors, pancreatic cancer, and colorectal cancer. To overcome the potential drug resistance and to improve the drug potency as well as to minimize the drug toxicity, we conducted a high throughput screening (HTS) for drug synergy, combining Minnelide with compounds from the LOPAC and/or Prestwick libraries in 3 different cancer cell lines: BxPC3 (pancreatic), HT29 (colon) and SNU5 (gastric). LOPAC and Prestwick libraries consist of drugs approved by FDA and/or drugs that have reached clinical trial stages, representing 2,274 unique compounds in total. After quality control evaluation and data normalization, hits were selected if greater than 20% inhibition was achieved when combined compared with Minnelide alone. A total of 43, 54, and 47 hits were identified for each cell line, representing an average hit rate of 2.1%. We further prioritized the hits by selecting those that were common in two or more cell lines, which resulted in 9 compounds from Prestwick library and 20 compounds from LOPAC library (Harmane is in common between the two libraries). Only 17 compounds were available for purchase for hits confirmation, which was conducted in a similar manner as in primary HTS, except that drugs were tested in a dose-dependent manner instead of a single concentration done in HTS, a duplicated biological run was performed, and a total of 9 cell lines were screened, with 3 cell lines for each tumor type (pancreatic, colon and gastric). IC50 and Combination Index (CI) values for each drug combination were calculated for each cell line. A fold change of 2 or more for the IC50 values and CI value < 1.0 were used for hit selection. In general, colon lines had the most synergistic combinations and gastric had the least. A total of 15 drug candidates were confirmed to have synergistic effect, representing a confirmation rate of 88%, among which 12 drugs demonstrated synergy in >50% of the cell lines tested, with Harmane and Harmine demonstrating synergy in all 9 cell lines tested. In addition, CGS-15943, Amiloride, Naphthalimide, and Idazoxan indicated good synergy with Minnelide in at least 6 out of 9 cell lines. Interestingly, Phenamil, an irreversible inhibitor of amiloride-sensitive Na+ channels, showed synergy in all cell lines tested for pancreatic and colon cancers, but not in gastric cancer cell lines. Overall, our study shed light on potential drug combinations with Minnlide for clinical use. Citation Format: Nanyun Tang, Chris Sereduk, Ashok Saluja, Mohana Velagapudi, Haiyong Han, Daniel D Von Hoff, Hongwei Holly Yin. Drug combination screen to identify novel synergy with Minnelide [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr A142. doi:10.1158/1535-7163.TARG-19-A142
Stage I-II nodular lymphocyte-predominant Hodgkin lymphoma: a multi-institutional study of adult patients by ILROG
Binkley, Michael S. , Milgrom, Sarah A. , Dickinson, Michael , Ng, Andrea K. , Roberts, Kenneth B. , Gao, Sarah , Balogh, Alex, Levis, Mario , Casulo, Carla , Stolten, Michael , Specht, Lena , Wright, Christopher M. , Brady, J.L. , Mikhaeel, N. George , Terezakis, Stephanie , Pepa, Roberta Della , Maghfoor, Irfan , Koenig, Julie L. , Jackson, Christopher , Song, Erin J. , Sehgal, Shuchi, Advani, Ranjana H. , Natkunam, Yasodha , Eich, Hans Theodor, Wirth, Andrew, Hoppe, Richard T. , Advani, Ranjana H , Dickinson, Michael , Binkley, Michael Sargent , Specht, Lena , Hoppe, Richard T , Natkunam, Yasodha , Levis, Mario , Rauf, M. Shahzad , Pinnix, Chelsea C. , Tsang, Richard , Ricardi, Umberto , Casulo, Carla , Plastaras, John Peter , Kelsey, Chris R. , Hoppe, Bradford S. , Picardi, Marco , Kirova, Youlia , Akhtar, Saad , Constine, Louis S

Blood | March 25, 2020 | Volume: 135 | Issue: 26 | Pages: 2365-2374

10.1182/blood.2019003877 | PMID 32211877 Get It

Abstract Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) is an uncommon histologic variant, and the optimal treatment of stage I-II NLPHL is undefined. We conducted a multicenter retrospective study including patients ≥16 years of age with stage I-II NLPHL diagnosed from 1995 through 2018 who underwent all forms of management, including radiotherapy (RT), combined modality therapy (CMT; RT+chemotherapy [CT]), CT, observation after excision, rituximab and RT, and single-agent rituximab. End points were progression-free survival (PFS), freedom from transformation, and overall survival (OS) without statistical comparison between management groups. We identified 559 patients with median age of 39 years: 72.3% were men, and 54.9% had stage I disease. Median follow-up was 5.5 years (interquartile range, 3.1-10.1). Five-year PFS and OS in the entire cohort were 87.1% and 98.3%, respectively. Primary management was RT alone (n = 257; 46.0%), CMT (n = 184; 32.9%), CT alone (n = 47; 8.4%), observation (n = 37; 6.6%), rituximab and RT (n = 19; 3.4%), and rituximab alone (n = 15; 2.7%). The 5-year PFS rates were 91.1% after RT, 90.5% after CMT, 77.8% after CT, 73.5% after observation, 80.8% after rituximab and RT, and 38.5% after rituximab alone. In the RT cohort, but not the CMT cohort, variant immunoarchitectural pattern and number of sites >2 were associated with worse PFS (P < .05). Overall, 21 patients (3.8%) developed large-cell transformation, with a significantly higher transformation rate in those with variant immunoarchitectural pattern (P = .049) and number of involved sites >2 (P = .0006). OS for patients with stage I-II NLPHL was excellent after all treatments.
Characterising a healthy adult with a rare HAO1 knockout to support a therapeutic strategy for primary hyperoxaluria
McGregor, Tracy L., Yee, Elaine, Mason, Dan , Nioi, Paul , Ticau, Simina , Pelosi, Marissa, Loken, Perry R , Finer, Sarah , Lawlor, Deborah A, Fauman, Eric B. , Huang, Qin Qin , Griffiths, Chris , MacArthur, Daniel G. , Oglesbee, Devin , Erbe, David V., Heel, David A. van , Lawlor, Debbie A. , Finer, Sarah , Lieske, John C , van Heel, David A , Oglesbee, Devin , MacArthur, Daniel G , Hunt, Karen A. , Trembath, Richard C. , Lieske, John C. , Wright, John

eLife | March 24, 2020 | Volume: 9 | Issue: No issue available | Pages: No page available

10.7554/elife.54363 | PMID 32207686 Get It

By sequencing autozygous human populations, we identified a healthy adult woman with lifelong complete knockout of HAO1 (expected ~1 in 30 million outbred people). HAO1 (glycolate oxidase) silencing is the mechanism of lumasiran, an investigational RNA interference therapeutic for primary hyperoxaluria type 1. Her plasma glycolate levels were 12 times, and urinary glycolate 6 times, the upper limit of normal observed in healthy reference individuals (n = 67). Plasma metabolomics and lipidomics (1871 biochemicals) revealed 18 markedly elevated biochemicals (>5 sd outliers versus n = 25 controls) suggesting additional HAO1 effects. Comparison with lumasiran preclinical and clinical trial data suggested she has <2% residual glycolate oxidase activity. Cell line p.Leu333SerfsTer4 expression showed markedly reduced HAO1 protein levels and cellular protein mis-localisation. In this woman, lifelong HAO1 knockout is safe and without clinical phenotype, de-risking a therapeutic approach and informing therapeutic mechanisms. Unlocking evidence from the diversity of human genetic variation can facilitate drug development.
Student experiences and satisfaction with a novel clerkship patient scheduling
Oberhelman, Sara S. , Boswell, Chris, Jensen, Teresa B. , Swartz, Daniel J. , Bruhl, Elliot J., O'Brien, M., Angstman, Kurt B. , Oberhelman, Sara , Jensen, Teresa , Swartz, Daniel , O'Brien, Marcia, Angstman, Kurt

Medical Education Online | March 15, 2020 | Volume: 25 | Issue: 1 | Pages: No page available

10.1080/10872981.2020.1742963 | PMID 32174268 Get It

Impact of age on efficacy and safety of daratumumab in combination with lenalidomide and dexamethasone (D-Rd) in patients (pts) with transplant-ineligible newly diagnosed multiple myeloma (NDMM): MAIA.
Usmani, Saad Zafar, Kumar, Shaji , Plesner, Torben , Macro, Margaret , Venner, Chris , Leleu, Xavier , Krevvata, Maria, Wang, Jianping , Kobos, Rachel, Hulin, Cyrille , Usmani, Saad Zafar, Facon, Thierry T.F. , Moreau, Philippe , Basu, Supratik , Nahi, Hareth , Quach, Hang , Perrot, Aurore , Weisel, Katja C , Raje, Noopur , Attal, Michel

Journal of Clinical Oncology | March 12, 2020 | Volume: 37 | Issue: 15_suppl | Pages: 8035-8035

10.1200/jco.2019.37.15_suppl.8035 Get It

8035 Background: D-Rd significantly reduced the risk of progression/death by 44% in transplant-ineligible NDMM pts vs Rd in the phase 3 MAIA study. To examine the impact of age on efficacy/safety of D-Rd vs Rd in this population, a subgroup analysis was conducted in pts <75 and ≥75 y of age. Methods: Transplant-ineligible NDMM pts were randomized 1:1 to Rd ± DARA; stratification was based on age (<75 vs ≥75 y), ISS (I, II, III), and region (North America vs Other). Pts received 28-day cycles of either R 25 or 10 mg (based on renal function) PO QD on Days 1-21 and either d 40 or 20 mg (based on age or BMI) PO/IV weekly until progression. In the D-Rd arm, pts received daratumumab 16 mg/kg IV QW for Cycles 1-2, Q2W for Cycles 3-6, and Q4W thereafter until progression. PFS is the primary endpoint. Results: Among 737 randomized pts (D-Rd, n=368; Rd, n=369), 321 (44%) were ≥75 y of age. For D-Rd vs Rd, relative median dose intensity for R was 79% vs 93% for <75 y subgroup and 66% vs 89% for ≥75 y subgroup, respectively. After median follow-up of 28 mo, significant PFS benefit of D-Rd vs Rd was maintained in both <75 and ≥75 y subgroups (Table). Deeper responses and MRD-negative rate (10-5 threshold) remained higher with D-Rd vs Rd in both subgroups (Table). Most common (≥10%; D-Rd/Rd) grade 3/4 TEAEs in ≥75 y pts were neutropenia (60%/41%), lymphopenia (19%/12%), anemia (16%/22%), pneumonia (15%/10%), leukopenia (12%/6%), and thrombocytopenia (8%/11%). Fewer pts receiving D-Rd vs Rd discontinued treatment due to TEAEs (<75 y: 5% vs 12%; ≥75 y: 10% vs 21%). Conclusions: D-Rd pts received less R vs Rd group regardless of age. Efficacy of D-Rd in <75 and ≥75 y pts was consistent with the ITT population, and D-Rd demonstrated acceptable tolerability regardless of age. Together with the phase 3 ALCYONE study, these studies confirm clinical benefit of daratumumab plus standard-of-care in transplant-ineligible NDMM pts ≥75 y of age. Clinical trial information: NCT02252172. [Table: see text]
Outcomes of patients with t(11;14) multiple myeloma: An International Myeloma Working Group (IMWG) multicenter study.
Durie, Brian G.M. , Goldschmidt, Hartmut , Mateos, María‐Victoria , González, Verónica , Mangiacavalli, Silvia , Min, Chang Ki, Esteves, Graça , Handa, Hiroshi , Rodríguez, Carlos Fernández de Larrea, Delforge, Michel, Kumar, Shaji , Du, Juan , Kım, Kihyun , Merlini, Giampaolo , Min, Chang‐Ki , Dimopoulos, Meletios Α. , Kastritis, Efstathios , Ludwig, Heinz , Escalante, Fernando , Cameron, Chris G , Rajkumar, S. Vincent

Journal of Clinical Oncology | March 12, 2020 | Volume: 37 | Issue: 15_suppl | Pages: 8015-8015

10.1200/jco.2019.37.15_suppl.8015 Get It

8015 Background: Multiple myeloma (MM) is a heterogeneous disease with varying survival outcomes depending on the presence of certain genetic abnormalities. Common abnormalities include trisomies, translocations involving chromosome 14, and amplifications or deletions of chromosomes 1, 13, and 17. t(11;14), occurring in approx. 15% of patients (pts) with MM, is considered a standard risk abnormality, but recent data suggest that the prognosis may be inferior to what had been expected. This is of particular relevance as new therapeutic options such as the BCL-2 inhibitor venetoclax has been shown to be effective in t(11;14) pts. Methods: This was a multicenter study designed and conducted by the IMWG, to identify the outcomes of pts with t(11;14) using a retrospective cohort of pts. Pts with MM diagnosed between 2005 and 2015 with t(11;14) identified on FISH performed within six months (mos) of diagnosis, and with treatment details available and if alive, a minimum of 12 mos of follow up, were enrolled. Results: The current analysis includes 848 pts with a median age of 64.4 years; 60.0% are male. The median follow-up from diagnosis for the entire cohort was 45.7 mos; 84.7% of the pts were alive at the last follow up. ISS stage distribution included: Stage 1 (35.3%), Stage II (38.9%) and stage III (25.8%). The distribution of FISH abnormalities included: del 13q (14.5%), 1q amp (12.1%), del 17p or monosomy 17 (6.1%). Pts received initial therapy with different regimens: IMiD-24.3%, PI-41.0%, both-20.8% and 13.8% had no novel agent. The drug classes by line of therapy are shown in table. An early stem cell transplant (SCT) was used in 40.8% of pts. The median time to next treatment (TTNT) after initial treatment was 15.0 (95% CI: 12.2 to 17.7) mos. The median overall survival from diagnosis for the entire cohort was 82.5 (95% CI: 73.5 to 95.8) mos. Conclusions: This is the first study to examine the outcomes of a large group of myeloma pts with t(11;14) abnormality. Pts receiving a combination if a PI and an IMiD appear to have the best survival outcomes and thse receiving an early SCT appear to have excellent survival with median OS approaching 10 years. Additional pts are being accrued to this study and additional analysis examining the variables affecting response duration and survival will be presented. [Table: see text]
Updated risk stratification model for smoldering multiple myeloma (SMM) incorporating the revised IMWG diagnostic criteria.
Mateos, María‐Victoria , González, Verónica , Rodríguez, Carlos Fernández de Larrea, Mangiacavalli, Silvia , Goldschmidt, Hartmut , Kyriakou, Charalampia , Qi, Ming , Ukropec, Jon, Weiss, Brendan M. , Durie, Brian G.M. , Kumar, Shaji , Miguel, Jesús F. San , Dimopoulos, Meletios Α. , Kastritis, Efstathios , Hájek, Roman , Morgan, Gareth J. , Merlini, Giampaolo , Cavo, Michèle , Cameron, Chris G , Rajkumar, S. Vincent

Journal of Clinical Oncology | March 12, 2020 | Volume: 37 | Issue: 15_suppl | Pages: 8000-8000

10.1200/jco.2019.37.15_suppl.8000 Get It

8000 Background: The diagnostic criteria for MM were revised in 2014, recategorizing ultra-high risk (i.e., 80% at two years) as active myeloma requiring therapy. The removal of patients at the highest risk of progression from the smoldering group requires reassessment of current risk stratification models. Methods: We designed a multicenter, retrospective study of SMM patients to develop a risk stratification model. Patients diagnosed with SMM on/after January 1, 2004 were included if they had no disease progression within 6 months, had baseline data from diagnosis (+/- 3 months), had a follow up of ≥1 year, and did not participate in a therapeutic trial of SMM. Various clinical and laboratory factors were explored to identify factors that predicted progression at 2 years. Univariate Cox regressions were run for each factor. For factors with p-values ≤ 0.25, optimal cut points were identified using Youden’s index. Binary factors were used in stepwise regression to fit multivariable Cox model and significant risk factors were determined (F-test). Results: Overall, 2004 patients were included (ages 26-93, 51% female). Factors independently associated with progression (optimal cutoffs) included: Serum M protein (2 g/dL), involved to uninvolved serum-free light chain ratio (20), and marrow plasma cell % (20%). Patients were stratified using the risk factors: Low- (0 factors), Intermediate- (1), and High-Risk (≥2). Previously used high risk markers such as Bence Jones proteinuria (≥500 mg/24 hours) and severe immunoparesis (50% decrease in uninvolved immunoglobulin levels) were both significant in univariate analysis, but were eliminated on step wise selection. Compared to the low risk group, intermediate- and high-risk groups had significantly higher rate of progression (Table). Within the high-risk group, having all 3 risk factors (n=61) versus 2 did not add to the model, with insufficient separation between 2 and 3 factors. Conclusions: We have developed a risk stratification model for SMM that incorporates revised cutoffs for previously used parameters (20/2/20) that can be universally applied. Additonal analysis are being conducted to develop models that utilize common cytogenetic abnormalities, as well as those without FLC given lack of availability of all tests across the world. [Table: see text]