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Author

Mark Liebow

Other affiliations: American College of Physicians
Bio: Mark Liebow is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Single-nucleotide polymorphism & Follicular lymphoma. The author has an hindex of 30, co-authored 66 publications receiving 3046 citations. Previous affiliations of Mark Liebow include American College of Physicians.


Papers
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Journal ArticleDOI
Lindsay M. Morton1, Susan L. Slager2, James R. Cerhan2, Sophia S. Wang3, Claire M. Vajdic4, Christine F. Skibola5, Paige M. Bracci6, Silvia de Sanjosé, Karin E. Smedby7, Brian C.-H. Chiu8, Yawei Zhang9, Sam M. Mbulaiteye1, Alain Monnereau10, Jennifer Turner11, Jacqueline Clavel12, Hans-Olov Adami13, Hans-Olov Adami7, Ellen T. Chang14, Ellen T. Chang15, Bengt Glimelius7, Bengt Glimelius16, Henrik Hjalgrim17, Mads Melbye17, Paolo Crosignani, Simonetta Di Lollo18, Lucia Miligi, Oriana Nanni, Valerio Ramazzotti, Stefania Rodella, Adele Seniori Costantini, Emanuele Stagnaro, Rosario Tumino, Carla Vindigni, Paolo Vineis19, Nikolaus Becker20, Yolanda Benavente, Paolo Boffetta21, Paul Brennan22, Pierluigi Cocco23, Lenka Foretova, Marc Maynadié24, Alexandra Nieters25, Anthony Staines26, Joanne S. Colt1, Wendy Cozen27, Scott Davis28, Scott Davis29, Anneclaire J. De Roos30, Patricia Hartge1, Nathaniel Rothman1, Richard K. Severson31, Elizabeth A. Holly6, Timothy G. Call2, Andrew L. Feldman2, Thomas M. Habermann2, Mark Liebow2, Aaron Blair1, Kenneth P. Cantor1, Eleanor Kane32, Tracy Lightfoot32, Eve Roman32, Alex Smith32, Angela Brooks-Wilson33, Angela Brooks-Wilson34, Joseph M. Connors34, Randy D. Gascoyne34, John J. Spinelli34, Bruce K. Armstrong35, Anne Kricker35, Theodore R. Holford9, Qing Lan1, Tongzhang Zheng9, Laurent Orsi12, Luigino Dal Maso, Silvia Franceschi22, Carlo La Vecchia36, Carlo La Vecchia37, Eva Negri37, Diego Serraino, Leslie Bernstein3, Alexandra M. Levine3, Jonathan W. Friedberg38, Jennifer L. Kelly38, Sonja I. Berndt1, Brenda M. Birmann13, Christina A. Clarke39, Christopher R. Flowers40, James M. Foran2, Marshall E. Kadin41, Marshall E. Kadin42, Ora Paltiel, Dennis D. Weisenburger3, Martha S. Linet1, Joshua N. Sampson1 
TL;DR: Using a novel approach to investigate etiologic heterogeneity among NHL subtypes,risk factors that were common among subtypes as well as risk factors that appeared to be distinct among individual or a few subtypes are identified, suggesting both subtype-specific and shared underlying mechanisms.
Abstract: Non-Hodgkin lymphoma (NHL) is the most common hematologic malignancy and the fifth most common type of cancer in more developed regions of the world (1). Numerous NHL subtypes with distinct combinations of morphologic, immunophenotypic, genetic, and clinical features are currently recognized (2,3). The incidence of NHL subtypes varies substantially by age, sex, and race/ethnicity (4–7). However, the etiological implications of this biological, clinical, and epidemiological diversity are incompletely understood. The importance of investigating etiology by NHL subtype is clearly supported by research on immunosuppression, infections, and autoimmune diseases, which are the strongest and most established risk factors for NHL. Studies of solid organ transplant recipients and individuals infected with HIV demonstrate that risks are markedly increased for several—but not all—NHL subtypes (8–13). Some infections and autoimmune diseases are associated with a single specific subtype [eg, human T-cell lymphotropic virus, type I (HTLV-I) with adult T-cell leukemia/lymphoma (14), celiac disease with enteropathy-type peripheral T-cell lymphoma (PTCL) (15–17)], whereas others [eg, Epstein–Barr virus, hepatitis C virus (HCV), Sjogren’s syndrome (18–21)] have been associated with multiple subtypes. In the last two decades, reports from individual epidemiological studies of NHL have suggested differences in risks among NHL subtypes for a wide range of risk factors, but most studies have lacked the statistical power to assess any differences quantitatively and have not systematically evaluated combinations of subtypes. One study assessed multiple risk factors and found support for both etiologic commonality and heterogeneity for NHL subtypes, with risk factor patterns suggesting that immune dysfunction is of greater etiologic importance for diffuse large B-cell lymphoma (DLBCL) and marginal zone lymphoma than for chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) and follicular lymphoma (22). However, that analysis was limited to approximately 1300 NHL cases and considered only the four most common NHL subtypes. Pooling data from multiple studies through the International Lymphoma Epidemiology Consortium (InterLymph) have provided substantial insight into associations between specific risk factors and NHL subtypes, with evidence that family history of hematologic malignancy, autoimmune diseases, atopic conditions, lifestyle factors (smoking, alcohol, anthropometric measures, and hair dye use), and sun exposure are associated with NHL risk (19,21,23–32). However, no previous study has compared patterns of risk for a range of exposures for both common and rarer NHL subtypes. We undertook the InterLymph NHL Subtypes Project, a pooled analysis of 20 case–control studies including 17 471 NHL cases and 23 096 controls, to advance understanding of NHL etiology by investigating NHL subtype-specific risks associated with medical history, family history of hematologic malignancy, lifestyle factors, and occupation. The detailed risk factor profiles for each of 11 NHL subtypes appear in this issue (15–17,33–40). In this report, we assess risk factor heterogeneity among the NHL subtypes and identify subtypes that have similar risk factor profiles.

273 citations

Journal ArticleDOI
24 Jul 2013-JAMA
TL;DR: In this survey about health care cost containment, US physicians reported having some responsibility to address health care costs in their practice and expressed general agreement about several quality initiatives to reduce cost but reported less enthusiasm for cost containment involving changes in payment models.
Abstract: Importance Physicians’ views about health care costs are germane to pending policy reforms. Objective To assess physicians’ attitudes toward and perceived role in addressing health care costs. Design, Setting, and Participants A cross-sectional survey mailed in 2012 to 3897 US physicians randomly selected from the AMA Masterfile. Main Outcomes and Measures Enthusiasm for 17 cost-containment strategies and agreement with an 11-measure cost-consciousness scale. Results A total of 2556 physicians responded (response rate = 65%). Most believed that trial lawyers (60%), health insurance companies (59%), hospitals and health systems (56%), pharmaceutical and device manufacturers (56%), and patients (52%) have a “major responsibility” for reducing health care costs, whereas only 36% reported that practicing physicians have “major responsibility.” Most were “very enthusiastic” for “promoting continuity of care” (75%), “expanding access to quality and safety data” (51%), and “limiting access to expensive treatments with little net benefit” (51%) as a means of reducing health care costs. Few expressed enthusiasm for “eliminating fee-for-service payment models” (7%). Most physicians reported being “aware of the costs of the tests/treatments [they] recommend” (76%), agreed they should adhere to clinical guidelines that discourage the use of marginally beneficial care (79%), and agreed that they “should be solely devoted to individual patients’ best interests, even if that is expensive” (78%) and that “doctors need to take a more prominent role in limiting use of unnecessary tests” (89%). Most (85%) disagreed that they “should sometimes deny beneficial but costly services to certain patients because resources should go to other patients that need them more.” In multivariable logistic regression models testing associations with enthusiasm for key cost-containment strategies, having a salary plus bonus or salary-only compensation type was independently associated with enthusiasm for “eliminating fee for service” (salary plus bonus: odds ratio [OR], 3.3, 99% CI, 1.8-6.1; salary only: OR, 4.3, 99% CI, 2.2-8.5). In multivariable linear regression models, group or government practice setting (β = 0.87, 95% CI, 0.29 to 1.45, P = .004; and β = 0.99, 95% CI, 0.20 to 1.79, P = .01, respectively) and having a salary plus bonus compensation type (β = 0.82; 95% CI, 0.32 to 1.33; P = .002) were positively associated with cost-consciousness. Finding the “uncertainty involved in patient care disconcerting” was negatively associated with cost-consciousness (β = −1.95; 95% CI, −2.71 to −1.18; P Conclusion and Relevance In this survey about health care cost containment, US physicians reported having some responsibility to address health care costs in their practice and expressed general agreement about several quality initiatives to reduce cost but reported less enthusiasm for cost containment involving changes in payment models.

221 citations

Journal ArticleDOI
Sonja I. Berndt1, Christine F. Skibola2, Christine F. Skibola3, Vijai Joseph4, Nicola J. Camp5, Alexandra Nieters6, Zhaoming Wang1, Wendy Cozen7, Alain Monnereau8, Sophia S. Wang9, Rachel S. Kelly10, Qing Lan1, Lauren R. Teras11, Nilanjan Chatterjee1, Charles C. Chung1, Meredith Yeager1, Angela Brooks-Wilson12, Angela Brooks-Wilson13, Patricia Hartge1, Mark P. Purdue1, Brenda M. Birmann14, Bruce K. Armstrong15, Pierluigi Cocco16, Yawei Zhang17, Gianluca Severi18, Anne Zeleniuch-Jacquotte19, Charles E. Lawrence, Laurie Burdette1, Jeffrey Yuenger1, Amy Hutchinson1, Kevin B. Jacobs1, Timothy G. Call20, Tait D. Shanafelt20, Anne J. Novak20, Neil E. Kay20, Mark Liebow20, Alice H. Wang20, Karin E. Smedby21, Hans-Olov Adami21, Hans-Olov Adami14, Mads Melbye22, Bengt Glimelius23, Bengt Glimelius21, Ellen T. Chang24, Ellen T. Chang25, Martha Glenn5, Karen Curtin5, Lisa A. Cannon-Albright5, Lisa A. Cannon-Albright26, Brandt Jones5, W. Ryan Diver11, Brian K. Link27, George J. Weiner27, Lucia Conde2, Lucia Conde3, Paige M. Bracci28, Jacques Riby2, Elizabeth A. Holly28, Martyn T. Smith2, Rebecca D. Jackson29, Lesley F. Tinker30, Yolanda Benavente, Nikolaus Becker31, Paolo Boffetta32, Paul Brennan33, Lenka Foretova, Marc Maynadié34, James McKay33, Anthony Staines35, Kari G. Rabe20, Sara J. Achenbach20, Celine M. Vachon20, Lynn R. Goldin1, Sara S. Strom36, Mark C. Lanasa37, Logan G. Spector38, Jose F. Leis20, Julie M. Cunningham20, J. Brice Weinberg37, Vicki A. Morrison26, Neil E. Caporaso1, Aaron D. Norman20, Martha S. Linet1, Anneclaire J. De Roos30, Lindsay M. Morton1, Richard K. Severson39, Elio Riboli10, Paolo Vineis10, Rudolf Kaaks31, Dimitrios Trichopoulos14, Dimitrios Trichopoulos40, Giovanna Masala, Elisabete Weiderpass, María Dolores Chirlaque, Roel Vermeulen41, Ruth C. Travis42, Graham G. Giles18, Demetrius Albanes1, Jarmo Virtamo43, Stephanie J. Weinstein1, Jacqueline Clavel8, Tongzhang Zheng17, Theodore R. Holford17, Kenneth Offit4, Andrew D. Zelenetz4, Robert J. Klein4, John J. Spinelli12, Kimberly A. Bertrand14, Francine Laden14, Edward Giovannucci14, Peter Kraft14, Anne Kricker15, Jenny Turner44, Claire M. Vajdic45, Maria Grazia Ennas16, Giovanni Maria Ferri46, Lucia Miligi, Liming Liang14, Joshua N. Sampson1, Simon Crouch47, Ju-Hyun Park48, Kari E. North49, Angela Cox50, John A. Snowden50, Josh Wright, Angel Carracedo51, Carlos López-Otín52, Sílvia Beà53, Itziar Salaverria53, David Martín-García53, Elias Campo53, Joseph F. Fraumeni1, Silvia de Sanjosé, Henrik Hjalgrim22, James R. Cerhan20, Stephen J. Chanock1, Nathaniel Rothman1, Susan L. Slager20 
National Institutes of Health1, University of California, Berkeley2, University of Alabama3, Memorial Sloan Kettering Cancer Center4, University of Utah5, University of Freiburg6, University of Southern California7, French Institute of Health and Medical Research8, City of Hope National Medical Center9, Imperial College London10, American Cancer Society11, University of British Columbia12, Simon Fraser University13, Harvard University14, University of Sydney15, University of Cagliari16, Yale University17, Cancer Council Victoria18, New York University19, Mayo Clinic20, Karolinska Institutet21, Statens Serum Institut22, Uppsala University23, Stanford University24, Exponent25, Veterans Health Administration26, University of Iowa27, University of California, San Francisco28, Ohio State University29, Fred Hutchinson Cancer Research Center30, German Cancer Research Center31, Icahn School of Medicine at Mount Sinai32, International Agency for Research on Cancer33, University of Burgundy34, Dublin City University35, University of Texas MD Anderson Cancer Center36, Duke University37, University of Minnesota38, Wayne State University39, Academy of Athens40, Utrecht University41, University of Oxford42, National Institute for Health and Welfare43, Macquarie University44, University of New South Wales45, University of Bari46, University of York47, Dongguk University48, University of North Carolina at Chapel Hill49, University of Sheffield50, University of Santiago de Compostela51, University of Oviedo52, University of Barcelona53
TL;DR: The largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls, identified ten independent associated SNPs in nine new loci and found evidence for two additional promising loci below genome-wide significance.
Abstract: Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

202 citations

Journal ArticleDOI
01 Sep 2013
TL;DR: The design and implementation of the first 3 years of enrollment of the Mayo Clinic Biobank are reported, demonstrating that the biobank has quickly been established as a valuable resource for researchers.
Abstract: Objective To report the design and implementation of the first 3 years of enrollment of the Mayo Clinic Biobank. Patients and Methods Preparations for this biobank began with a 4-day Deliberative Community Engagement with local residents to obtain community input into the design and governance of the biobank. Recruitment, which began in April 2009, is ongoing, with a target goal of 50,000. Any Mayo Clinic patient who is 18 years or older, able to consent, and a US resident is eligible to participate. Each participant completes a health history questionnaire, provides a blood sample, and allows access to existing tissue specimens and all data from their Mayo Clinic electronic medical record. A community advisory board provides ongoing advice and guidance on complex decisions. Results After 3 years of recruitment, 21,736 individuals have enrolled. Fifty-eight percent (12,498) of participants are female and 95% (20,541) of European ancestry. Median participant age is 62 years. Seventy-four percent (16,171) live in Minnesota, with 42% (9157) from Olmsted County, where the Mayo Clinic in Rochester, Minnesota, is located. The 5 most commonly self-reported conditions are hyperlipidemia (8979, 41%), hypertension (8174, 38%), osteoarthritis (6448, 30%), any cancer (6224, 29%), and gastroesophageal reflux disease (5669, 26%). Among patients with self-reported cancer, the 5 most common types are nonmelanoma skin cancer (2950, 14%), prostate cancer (1107, 12% in men), breast cancer (941, 4%), melanoma (692, 3%), and cervical cancer (240, 2% in women). Fifty-six percent (12,115) of participants have at least 15 years of electronic medical record history. To date, more than 60 projects and more than 69,000 samples have been approved for use. Conclusion The Mayo Clinic Biobank has quickly been established as a valuable resource for researchers.

174 citations

Journal ArticleDOI
TL;DR: Spending on health care in the United States has been rising at a faster pace than spending in the rest of the economy since the 1960s and is expected to reach $4.0 trillion and amount to 20% of the GDP by 2015.
Abstract: This position paper concerns improving health care in the United States. Unlike previous highly focused policy papers by the American College of Physicians, this article takes a comprehensive approach to improving access, quality, and efficiency of care. The first part describes health care in the United States. The second compares it with health care in other countries. The concluding section proposes lessons that the United States can learn from these countries and recommendations for achieving a high-performance health care system in the United States. The articles are based on a position paper developed by the American College of Physicians' Health and Public Policy Committee. This policy paper (not included in this article) also provides a detailed analysis of health care systems in 12 other industrialized countries. Although we can learn much from other health systems, the College recognizes that our political and social culture, demographics, and form of government will shape any solution for the United States. This caution notwithstanding, we have identified several approaches that have worked well for countries like ours and could probably be adapted to the unique circumstances in the United States.

159 citations


Cited by
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Book
29 Sep 2017
TL;DR: Thank you very much for reading who classification of tumours of haematopoietic and lymphoid tissues, and maybe you have knowledge that, people have look hundreds of times for their chosen readings like this, but end up in malicious downloads.
Abstract: WHO CLASSIFICATION OF TUMOURS OF HAEMATOPOIETIC AND LYMPHOID TISSUES , WHO CLASSIFICATION OF TUMOURS OF HAEMATOPOIETIC AND LYMPHOID TISSUES , کتابخانه مرکزی دانشگاه علوم پزشکی تهران

13,835 citations

Book ChapterDOI
01 Jan 2010

5,842 citations

Journal ArticleDOI
Anshul Kundaje1, Wouter Meuleman2, Wouter Meuleman1, Jason Ernst3, Misha Bilenky4, Angela Yen2, Angela Yen1, Alireza Heravi-Moussavi4, Pouya Kheradpour2, Pouya Kheradpour1, Zhizhuo Zhang1, Zhizhuo Zhang2, Jianrong Wang1, Jianrong Wang2, Michael J. Ziller2, Viren Amin5, John W. Whitaker, Matthew D. Schultz6, Lucas D. Ward1, Lucas D. Ward2, Abhishek Sarkar1, Abhishek Sarkar2, Gerald Quon2, Gerald Quon1, Richard Sandstrom7, Matthew L. Eaton2, Matthew L. Eaton1, Yi-Chieh Wu1, Yi-Chieh Wu2, Andreas R. Pfenning2, Andreas R. Pfenning1, Xinchen Wang1, Xinchen Wang2, Melina Claussnitzer2, Melina Claussnitzer1, Yaping Liu1, Yaping Liu2, Cristian Coarfa5, R. Alan Harris5, Noam Shoresh2, Charles B. Epstein2, Elizabeta Gjoneska2, Elizabeta Gjoneska1, Danny Leung8, Wei Xie8, R. David Hawkins8, Ryan Lister6, Chibo Hong9, Philippe Gascard9, Andrew J. Mungall4, Richard A. Moore4, Eric Chuah4, Angela Tam4, Theresa K. Canfield7, R. Scott Hansen7, Rajinder Kaul7, Peter J. Sabo7, Mukul S. Bansal10, Mukul S. Bansal1, Mukul S. Bansal2, Annaick Carles4, Jesse R. Dixon8, Kai How Farh2, Soheil Feizi1, Soheil Feizi2, Rosa Karlic11, Ah Ram Kim1, Ah Ram Kim2, Ashwinikumar Kulkarni12, Daofeng Li13, Rebecca F. Lowdon13, Ginell Elliott13, Tim R. Mercer14, Shane Neph7, Vitor Onuchic5, Paz Polak2, Paz Polak15, Nisha Rajagopal8, Pradipta R. Ray12, Richard C Sallari1, Richard C Sallari2, Kyle Siebenthall7, Nicholas A Sinnott-Armstrong2, Nicholas A Sinnott-Armstrong1, Michael Stevens13, Robert E. Thurman7, Jie Wu16, Bo Zhang13, Xin Zhou13, Arthur E. Beaudet5, Laurie A. Boyer1, Philip L. De Jager15, Philip L. De Jager2, Peggy J. Farnham17, Susan J. Fisher9, David Haussler18, Steven J.M. Jones19, Steven J.M. Jones4, Wei Li5, Marco A. Marra4, Michael T. McManus9, Shamil R. Sunyaev15, Shamil R. Sunyaev2, James A. Thomson20, Thea D. Tlsty9, Li-Huei Tsai2, Li-Huei Tsai1, Wei Wang, Robert A. Waterland5, Michael Q. Zhang21, Lisa Helbling Chadwick22, Bradley E. Bernstein6, Bradley E. Bernstein15, Bradley E. Bernstein2, Joseph F. Costello9, Joseph R. Ecker11, Martin Hirst4, Alexander Meissner2, Aleksandar Milosavljevic5, Bing Ren8, John A. Stamatoyannopoulos7, Ting Wang13, Manolis Kellis2, Manolis Kellis1 
19 Feb 2015-Nature
TL;DR: It is shown that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease.
Abstract: The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.

5,037 citations

01 Feb 2015
TL;DR: In this article, the authors describe the integrative analysis of 111 reference human epigenomes generated as part of the NIH Roadmap Epigenomics Consortium, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression.
Abstract: The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.

4,409 citations

Journal ArticleDOI
TL;DR: Dysregulation of caspases underlies human diseases including cancer and inflammatory disorders, and major efforts to design better therapies for these diseases seek to understand how these enzymes work and how they can be controlled.
Abstract: Caspases are a family of endoproteases that provide critical links in cell regulatory networks controlling inflammation and cell death. The activation of these enzymes is tightly controlled by their production as inactive zymogens that gain catalytic activity following signaling events promoting their aggregation into dimers or macromolecular complexes. Activation of apoptotic caspases results in inactivation or activation of substrates, and the generation of a cascade of signaling events permitting the controlled demolition of cellular components. Activation of inflammatory caspases results in the production of active proinflammatory cytokines and the promotion of innate immune responses to various internal and external insults. Dysregulation of caspases underlies human diseases including cancer and inflammatory disorders, and major efforts to design better therapies for these diseases seek to understand how these enzymes work and how they can be controlled.

2,127 citations