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1048 citation(s) found for "Ma, Jin".

Clinicopathological and molecular biological characteristics of early-onset stage II/III colorectal adenocarcinoma: An analysis of 25 studies with 47,184 patients (pts) in the adjuvant colon cancer end points (ACCENT) database.
Yothers, Greg , Allegra, Carmen J. , Haller, Daniel G. , Gramont, Aimery de , Twelves, Chris , Seitz, Jean‐François, Goldberg, Richard M. , Yothers, Greg , Jin, Zhaohui , Dixon, Jesse G. , Parekh, Hiral D. , Alberts, Steven R. , Kerr, Rachel , Yoshino, Takayuki , Cutsem, Eric Van , Taı̈eb, Julien , Saltz, Leonard B. , André, Thierry , Mahipal, Amit , Shi, Qian , George, Thomas J.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 4099-4099

10.1200/jco.2020.38.15_suppl.4099 Get It

4099 Background: Colorectal cancer (CRC) incidence and mortality has decreased since the 1970s but the incidence is increasing in young adults (age 20-49). The incidence of early onset CRC (eoCRC) will keep increasing significantly based on the trends of the SEER CRC registry data. There is limited data suggesting eoCRC may have different behaviors compared to traditional CRC (tCRC, age ≥ 50). Methods: Individual pt data of 47184 stage II/III CRC pts from 25 randomized studies in the ACCENT database were pooled. The distributions of demographics, clinicopathological features, biomarker status, and treatment-related data were summarized by age group. Overall survival (OS), disease-free survival (DFS), recurrence-free rate (RFR), and survival after recurrence (SAR) were assessed by Kaplan-Meier curves and Cox models stratified by treatment arms within studies, adjusting for stage, performance status (PS), BMI and grade. Results: Using 5% difference between age groups as clinically meaningful cutoff, eoCRC had similar gender, race, ethnicity, PS, risk group, disease sidedness and T stage as tCRC. eoCRC were less likely overweight (30 vs 36%) and more pts had ≥ 12 lymph nodes resected (63 vs 51%). eoCRC had more frequent dMMR status (18 vs 12%), less BRAF mutations (5 vs 13%), and more dMMR/BRAF wild type (WT) status (17 vs 7%). Overall, eoCRC had better OS, DFS, and SAR, with the most significant differences between the < 30 and > = 70 age groups. Similar results were observed within pMMR pts. eoCRC experienced less hematological side effects, diarrhea, and stomatitis, but had more nausea and/or vomiting. Conclusions: eoCRC have unique characteristics; although statistically significant, the clinical differences in outcomes between eoCRC and tCRC are potentially due to the difference seen in extremely young and old pts. eoCRC have a different adverse events panel compared to tCRC. [Table: see text]
Posttranslational Regulation of the Exon Skipping Machinery Controls Aberrant Splicing in Leukemia
Zhou, Yalu, Han, Cuijuan , Wang, Eric , Lorch, Adam H., Serafin, Valentina , Cho, Byoung-Kyu , Gutierrez-Diaz, Blanca T. , Calvo, Julien , Fang, Celestia, Khodadadi‐Jamayran, Alireza , Tabaglio, Tommaso , Marier, Christian, Kuchmiy, Anna , Sun, Limin , Yacu, George, Filip, Szymon K. , Jin, Qi , Takahashi, Yoh-hei, Amici, David R. , Rendleman, Emily J. , Rawat, Radhika , Paganin, Maddalena , Kandela, Irawati , Politanska, Yuliya , Palhais, Bruno , Vlierberghe, Pieter Van , Taghon, Tom , Aifantis, Iannis , Goo, Young Ah , Guccione, Ernesto , Heguy, Adriana , Tsirigos, Aristotelis , Wee, Keng Boon , Mishra, Rama K. , Pflumio, Françoise , Accordi, Benedetta , Ntziachristos, Panagiotis , Jin, Qi , Taghon, Tom , Goo, Young Ah , Tsirigos, Aristotelis , Basso, Giuseppe , Khodadadi-Jamayran, Alireza , Van Vlierberghe, Pieter , Gutierrez Diaz, Blanca , Cho, Byoung-Kyu , Han, Cuijuan , Serafin, Valentina , Jin, Qi , Takahashi, Yoh-Hei, Bresolin, Silvia , Zhang, Cheng , Li, Hu , Abdala‐Valencia, Hiam , Mendillo, Marc L. , Zhu, Ping, Basso, Giuseppe , Jin, Qi

Cancer Discovery | May 22, 2020 | Volume: 10 | Issue: 9 | Pages: 1388-1409

10.1158/2159-8290.cd-19-1436 | PMID 32444465 Get It

Abstract Splicing alterations are common in diseases such as cancer, where mutations in splicing factor genes are frequently responsible for aberrant splicing. Here we present an alternative mechanism for splicing regulation in T-cell acute lymphoblastic leukemia (T-ALL) that involves posttranslational stabilization of the splicing machinery via deubiquitination. We demonstrate there are extensive exon skipping changes in disease, affecting proteasomal subunits, cell-cycle regulators, and the RNA machinery. We present that the serine/arginine-rich splicing factors (SRSF), controlling exon skipping, are critical for leukemia cell survival. The ubiquitin-specific peptidase 7 (USP7) regulates SRSF6 protein levels via active deubiquitination, and USP7 inhibition alters the exon skipping pattern and blocks T-ALL growth. The splicing inhibitor H3B-8800 affects splicing of proteasomal transcripts and proteasome activity and acts synergistically with proteasome inhibitors in inhibiting T-ALL growth. Our study provides the proof-of-principle for regulation of splicing factors via deubiquitination and suggests new therapeutic modalities in T-ALL. Significance: Our study provides a new proof-of-principle for posttranslational regulation of splicing factors independently of mutations in aggressive T-cell leukemia. It further suggests a new drug combination of splicing and proteasomal inhibitors, a concept that might apply to other diseases with or without mutations affecting the splicing machinery. This article is highlighted in the In This Issue feature, p. 1241
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.
Stromal Cell IL-8 Production Is Increased in MM and May Impact Both Tumor Cells and the Microenvironment.
Kline, Michael, Donovan, Kathleen A., Wellik, Linda, Lust, Christopher, Jin, Wendy, Moon‐Tasson, Laurie L., Kumar, Shaji , Lust, John A., Witzig, Thomas E. , Rajkumar, S. Vincent

Blood | April 19, 2020 | Volume: 106 | Issue: 11 | Pages: 2508-2508

10.1182/blood.v106.11.2508.2508 Get It

Abstract Background: Multiple myeloma (MM) is an incurable hematological malignancy characterized by the expansion of a plasma cell clone that localizes to the bone marrow. Stromal cells residing in the bone marrow respond to signals from MM cells and other cell types by producing cytokines and other proteins that stimulate tumor cell growth, survival, adhesion, migration, and drug resistance. We have examined the proteins produced by stromal cells in response to stimulation by bone marrow from patients diagnosed with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), and MM. Furthermore, we have begun analyzing the properties of one of these proteins, the pro-angiogenic chemokine IL-8, in MM. Methods: Bone marrow aspirates from patients with MGUS (n=3), SMM (n=7), and MM (n=6) were cultured for 48 hours, and the culture supernatants were incubated with stromal cells for an additional 48 hours. Protein levels were analyzed using antibody array and ELISA. Microvessel density (MVD) was determined as a measure of angiogenesis in patient bone marrow samples using CD34 staining. Flow cytometry analysis of MM cell lines and patient bone marrow samples was performed using monoclonal antibodies against IL-8 receptors CXCR1 and CXCR2. Results and Conclusion: We observed a significant increase in stromal cell IL-8 production stimulated by bone marrow cells from patients with active myeloma and a subset of SMM patients (16.67 ± 9.82 ng/ml) in comparison to bone marrow of patients with MGUS and all other SMM patients (0.55 ± 0.17 ng/ml; P=0.0004). Use of an IL-1 inhibitor and recombinant IL-1β demonstrated that IL-8 production was dependent upon IL-1β signaling. Increased BM microvessel density correlated with stimulation of stromal cell IL-8 production (P=0.0005). Furthermore, the majority of MM cell lines (7/9) and MM patient plasma cells were found to express IL-8 receptors CXCR1 and CXCR2. In addition to its function as a pro-angiogenic factor, IL-8 may directly influence MM cells through its CXCR1 and CXCR2 receptors. We conclude that stromal cell IL-8 production parallels MM disease activity, is IL-1β induced, correlates with bone marrow angiogenesis, and may influence MM disease via impact upon both the microenvironment and tumor cells.
Small Molecule-Induced Pancreatic β-Like Cell Development: Mechanistic Approaches and Available Strategies
Thakur, Gitika , Lee, Hyeon‐Jeong , Jeon, Ryoung‐Hoon , Rho, Gyu‐Jin , Jeon, Ryounghoon , Lee, Sung‐Lim

International Journal of Molecular Sciences | April 1, 2020 | Volume: 21 | Issue: 7 | Pages: 2388

10.3390/ijms21072388 | PMID 32235681 Get It

Diabetes is a metabolic disease which affects not only glucose metabolism but also lipid and protein metabolism. It encompasses two major types: type 1 and 2 diabetes. Despite the different etiologies of type 1 and 2 diabetes mellitus (T1DM and T2DM, respectively), the defining features of the two forms are insulin deficiency and resistance, respectively. Stem cell therapy is an efficient method for the treatment of diabetes, which can be achieved by differentiating pancreatic β-like cells. The consistent generation of glucose-responsive insulin releasing cells remains challenging. In this review article, we present basic concepts of pancreatic organogenesis, which intermittently provides a basis for engineering differentiation procedures, mainly based on the use of small molecules. Small molecules are more auspicious than any other growth factors, as they have unique, valuable properties like cell-permeability, as well as a nonimmunogenic nature; furthermore, they offer immense benefits in terms of generating efficient functional beta-like cells. We also summarize advances in the generation of stem cell-derived pancreatic cell lineages, especially endocrine β-like cells or islet organoids. The successful induction of stem cells depends on the quantity and quality of available stem cells and the efficient use of small molecules.
Review of 200 consecutive patients with mutation profiling in a lung cancer individualized medicine clinic.
Molina, Julian R. , Jen, Jin , Jang, Jin Sung , Roden, Anja C. , Aubry, Marie‐Christine, Peikert, Tobias, Maldonado, Fabien , Thomas, Charles F., Edell, Eric S. , Lifeng, Wang, Deschamps, Claude, Nichols, Francis C., Cassivi, Stephen D. , Wigle, Dennis A. , Asiedu, Michael K. , Aubry, Marie-Christine, Lifeng, Wang, Yang, Ping , Allen, Mark S. , Shen, Robert K.

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: e19013-e19013

10.1200/jco.2013.31.15_suppl.e19013 Get It

e19013 Background: Mutation profiling to assess for potentially druggable mutations in NSCLC is being offered at an increasing number of cancer centers throughout North America and internationally. Although data continue to accumulate for the potential value of mutation testing in designing chemotherapeutic regimens, the treatment impact of obtaining information beyond assessment of EGFR and ALK status remains unclear. How best to obtain and clinically utilize these data, including information from exome and whole genome sequencing, also remains unclear. Methods: Patients were reviewed electronically in a multidisciplinary conference regarding indications for testing and results of mutation profiling from various methods, including the mass-spec based LungCarta test, targeted NexGen sequencing, exome, and whole genome sequencing. Outcomes of the multidisciplinary review were communicated back to treating physicians. Results: Mutation testing was performed on 200 patients using a variety of approaches. The majority (>150) were surgically resected stage I and II tumors. Mutations in at least 1 major cancer driver gene, including EGFR, KRAS, MET, BRAF and PIK3CA, were found in 47% of all patients tested. EGFR mutations were present in 14.8% of patients tested, KRAS 21.3%, BRAF 2.6%, PIK3CA 3.2%, and MET 4.5%. A total of 8 patients underwent either exome or whole genome sequencing. A limited number of patients (<10) had mutation results that impacted treatment decisions from this cohort. Conclusions: Mutation profiling can influence treatment decisions in NSCLC, but at a low frequency. The role of exome and or whole genome sequencing for patients with NSCLC is evolving and remains undefined.
PILLAR-2: A randomized, double-blind, placebo-controlled, phase III study of adjuvant everolimus in poor-risk diffuse large B-cell lymphoma (DLBCL).
Lin, Tongyu , Bouabdallah, Kamal , Ogura, Michinori , Hino, Masayuki , Wu, Cassandra, Corrado, Claudia, Zhu, Jun , Kim, Jin Seok , Witzig, Thomas E.

Journal of Clinical Oncology | March 11, 2020 | Volume: 30 | Issue: 15_suppl | Pages: TPS8118-TPS8118

10.1200/jco.2012.30.15_suppl.tps8118 Get It

TPS8118 Background: Effective DLBCL adjuvant therapy after first-line chemotherapy is needed as high-risk DLBCL is associated with a poor 4-year overall survival (OS) rate (Sehn et al, Blood 2007;109:1857-61). In a phase II study of the oral mammalian target of rapamycin inhibitor everolimus in relapsed, aggressive non-Hodgkin lymphoma, DLBCL patients (n=47) had a 30% overall response rate (Witzig et al, Leukemia 2011;25:341-7). Methods: PILLAR-2 is an ongoing international, randomized, double-blind, phase 3 study designed to compare everolimus efficacy and safety with that of placebo in poor-risk DLBCL patients who achieved complete response (CR) with first-line rituximab-based chemotherapy (R-chemo) (ClinicalTrials.gov: NCT00790036; sponsor: Novartis Pharmaceuticals). Eligibility criteria include age ≥18 years; confirmed stage II bulky, III, or IV DLBCL and International Prognostic Index 3-5 at diagnosis; confirmed CR per revised International Workshop Response Criteria for malignant lymphoma (Cheson et al, J Clin Oncol 2007;25:579-86) after first-line R-chemo regimen completed 6-14 weeks before study drug start; Eastern Cooperative Oncology Group performance status ≤2; no ongoing or post–R-chemo radiation; and no myelosuppressive chemotherapy or biologic therapy within 3 weeks. Patients are randomized 1:1 to everolimus 10 mg once daily or matching placebo and treated for 12 months or until disease relapse, unacceptable toxicity, or death. Radiologic tumor assessment is performed at baseline, every 12 weeks during years 1 and 2, every 24 weeks during years 3 and 4, and annually thereafter until start of new anticancer therapy or 5 years after last patient randomization. The primary endpoint is disease-free survival (DFS). Secondary endpoints are OS, lymphoma-specific survival, and safety. Expected enrollment is 687 patients. Final analysis will be performed when 279 DFS events occur; survival follow-up will continue until 338 deaths occur and the last randomized patient has been followed for ≥5 years. Currently, 422 patients are enrolled. The data monitoring committee last reviewed the trial in July 2011 and recommended that it continue as planned.
Quality Measurement in Cancer Care: A Review and Endorsement of High-Impact Measures and Concepts
D’Amico, Thomas A., Bandini, Lindsey, Balch, Alan , Benson, Al B. , Edge, Stephen B. , Fitzgerald, Clara , Green, Robert J. , Koh, Wui-Jin, Kolodziej, Michael , Kumar, Shaji , Meropol, Neal J. , Mohler, James L. , Pfister, David G. , Walters, Ronald S., Carlson, Robert W. , Fitzgerald, C. Lyn, Green, Robert J.

Journal of the National Comprehensive Cancer Network | March 5, 2020 | Volume: 18 | Issue: 3 | Pages: 250-259

10.6004/jnccn.2020.7536 | PMID 32135508 Get It

Although oncology care has evolved, outcome assessment remains a key challenge. Outcome measurement requires identification and adoption of a succinct list of metrics indicative of high-quality cancer care for use within and across healthcare systems. NCCN established an advisory committee, the NCCN Quality and Outcomes Committee, consisting of provider experts from NCCN Member Institutions and other stakeholders, including payers and patient advocacy, community oncology, and health information technology representatives, to review the existing quality landscape and identify contemporary, relevant cancer quality and outcomes measures by reevaluating validated measures for endorsement and proposing new measure concepts to fill crucial gaps. This manuscript reports on 22 measures and concepts; 15 that align with existing measures and 7 that are new.
Liver Stiffness Measured with Two-dimensional Shear-Wave Elastography Is Predictive of Liver-related Events in Patients with Chronic Liver Disease Due to Hepatis B Viral Infection
Wu, Manli , Wu, Lili , Jin, Jieyang , Wang, Jinfen , Li, Shuoyang , Zeng, Jie , Guo, Huanyi , Zheng, Jian , Chen, Shigao , Zheng, Rongqin

Radiology | March 3, 2020 | Volume: 295 | Issue: 2 | Pages: 353-360

10.1148/radiol.2020191481 | PMID 32125254 Get It

The role of extracellular vesicles and PD-L1 in glioblastoma-mediated immunosuppressive monocyte induction
Himes, Benjamin , Peterson, Timothy E., Mooij, Tristan de, Garcia, Luz Milbeth Cumba, Uhm, Sarah , Yan, David Z., Tyson, Jasmine , Jin‐Lee, Helen J. , Parney, Daniel, Abukhadra, Yasmina, Gustafson, Michael P. , Dietz, Allan B. , Johnson, Aaron J. , Maus, Rachel L.G., Himes, Benjamin T., de Mooij, Tristan, Garcia, Luz M Cumba, Jung, Mi-Yeon, Yan, David, Jin-Lee, Helen J, Maus, Rachel L, Dietz, Allan B , Himes, Benjamin T , Jung, Mi-Yeon, Johnson, Aaron J. , Dong, Haidong , Markovic, Svetomir N. , Lucien, Fabrice , Parney, Ian F.

Neuro-Oncology | February 19, 2020 | Volume: 22 | Issue: 7 | Pages: 967-978

10.1093/neuonc/noaa029 | PMID 32080744 Get It

Abstract Background Immunosuppression in glioblastoma (GBM) is an obstacle to effective immunotherapy. GBM-derived immunosuppressive monocytes are central to this. Programmed cell death ligand 1 (PD-L1) is an immune checkpoint molecule, expressed by GBM cells and GBM extracellular vesicles (EVs). We sought to determine the role of EV-associated PD-L1 in the formation of immunosuppressive monocytes. Methods Monocytes collected from healthy donors were conditioned with GBM-derived EVs to induce the formation of immunosuppressive monocytes, which were quantified via flow cytometry. Donor-matched T cells were subsequently co-cultured with EV-conditioned monocytes in order to assess effects on T-cell proliferation. PD-L1 constitutive overexpression or short hairpin RNA–mediated knockdown was used to determined the role of altered PD-L1 expression. Results GBM EVs interact with both T cells and monocytes but do not directly inhibit T-cell activation. However, GBM EVs induce immunosuppressive monocytes, including myeloid-derived suppressor cells (MDSCs) and nonclassical monocytes (NCMs). MDSCs and NCMs inhibit T-cell proliferation in vitro and are found within GBM in situ. EV PD-L1 expression induces NCMs but not MDSCs, and does not affect EV-conditioned monocytes T-cell inhibition. Conclusion These findings indicate that GBM EV-mediated immunosuppression occurs through induction of immunosuppressive monocytes rather than direct T-cell inhibition and that, while PD-L1 expression is important for the induction of specific immunosuppressive monocyte populations, immunosuppressive signaling mechanisms through EVs are complex and not limited to PD-L1.