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Dunleavy, Kieron

0000-0003-1985-8296

Mayo Clinic

Division of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Centre, Georgetown University Hospital, Washington, DC.

Citations 4

Integrating patient advocacy groups in the development of clinical practice guidelines: comment on the article by Johnson et al
Carsons, Steven E. , Carteron, Nancy , Scofield, R. Hal , Lee, Augustine S. , Thomas, Donald E. , Moua, Teng , Clair, E. William St. , Meehan, Richard T. , Dunleavy, Kieron , Makara, Matt, Hammitt, Katherine M. , Meehan, Richard , Hammitt, Katherine Morland , Dunleavy, Kieron , Gupta, Nishant , Thomas, Donald E., Ussavarungsi, Kamonpun

Arthritis Care & Research | November 28, 2024 | Volume: 77 | Issue: 5 | Pages: 685-686

10.1002/acr.25474 Get It

Lymphoma Classifications, How to Develop a Future Unified Taxonomy
Dierickx, Daan , Dirnhofer, Stefan , Dunleavy, Kieron , Hasserjian, Robert P. , Kim, Won Seog, King, Rebecca L. , Ott, German , Siebert, Reiner , Dirnhofer, S , Gaulard, Philippe , Piris, Miguel , Dunleavy, Kieron , Campo, Elı́as , Jaffe, Elaine S. , Kim, Won Seog , Lim, Megan S. , Piris, Miguel Á. , Salles, Gilles

Journal of Clinical Oncology | July 17, 2024 | Volume: 42 | Issue: 27 | Pages: 3177-3182

10.1200/jco.24.00070 Get It

Genomic profiling for clinical decision making in lymphoid neoplasms
Leval, Laurence de , Alizadeh, Ash A. , Bergsagel, P. Leif , Campo, Elı́as , Davies, Andrew , Doǧan, Ahmet , Fitzgibbon, Jude , Horwitz, Steven M. , Melnick, Ari , Morice, William G. , Nadel, Bertrand , Rosenquist, Richard , Rossi, Davide , Advani, Ranjana H. , Allen, Carl E. , Ansell, Stephen M. , Chan, Wing C. , Cook, James R. , Cook, Lucy , d’Amore, Francesco, Dirnhofer, Stefan , Dreyling, Martin , Dunleavy, Kieron , Hodson, Daniel J. , Klapper, Wolfram , Kim, Won Seog , King, Rebecca L. , Ko, Young Hyeh , LaCasce, Ann S. , Lenz, Georg , Pasqualucci, Laura , Rosenwald, Andreas , Miguel, Jesús F. San , Staudt, Louis M. , Weigert, Oliver , Wilson, Wyndham H. , Wu, Catherine J. , Bagg, Adam , Dirnhofer, S , Bergsagel, P. Leif , de Leval, Laurence , Melnick, Ari , Morin, Ryan D , Nadel, Bertrand , Pileri, Stefano , Rosenquist, Richard , Salaverria, Itziar , Steidl, Christian , Treon, Steven , Zelenetz, Andrew D , Allen, Carl E , Ansell, Stephen M , Chan, Wing C , Cook, James R , Cook, Lucy B , d'Amore, Francesco , Dreyling, Martin , Dunleavy, Kieron , Feldman, Andrew L , Fend, Falko , Gaulard, Philippe , Ghia, Paolo , Gribben, John G. , Hermine, Olivier , Hodson, Daniel J , Hsi, Eric D , Inghirami, Giorgio , Jaffe, Elaine S , Karube, Kennosuke , Kataoka, Keisuke , Klapper, Wolfram , King, Rebecca L , Hyeh, Young , LaCasce, Ann Steward , Lenz, Georg , Piris, Miguel , Pittaluga, Stefania , Pasqualucci, Laura , Quintanilla-Martinez, Leticia , Rodig, Scott J , Rosenwald, Andreas , Salles, Gilles A , San-Miguel, Jesus , Savage, Kerry J , Sehn, Laurie H , Semenzato, Gianpietro , Staudt, Louis M , Swerdlow, Steven H , Tam, Constantine S , Trotman, Judith , Vose, Julie , Weigert, Oliver , Wilson, Wyndham H , Winter, Jane N , Wu, Catherine J , Zinzani, Pier Luigi , Zucca, Emanuele , Bagg, Adam , Scott, David W , Morice, William George , Campo, Elías , Advani, Ranjana H , Dogan, Ahmet , Davies, Andrew , Fitzgibbon, Jude , Horwitz, Steven M , Alizadeh, Ash A , Pileri, Stefano , Salaverría, Itziar , Steidl, Christian , Treon, Steven P. , Zelenetz, Andrew D. , Feldman, Andrew L. , Ghia, Paolo , Hermine, Olivier , Hsi, Eric D. , Inghirami, Giorgio , Jaffe, Elaine S. , Karube, Kennosuke , Martin-Subero, Jose Ignacio , Piris, Miguel Á. , Pittaluga, Stefania , Quintanilla‐Martínez, Leticia , Salles, Gilles , Savage, Kerry J. , Sehn, Laurie H. , Swerdlow, Steven H. , Tam, Constantine S. , Vose, Julie M. , Winter, Jane N. , Zinzani, Pier Luigi , Zucca, Emanuele , Scott, David W.

Blood | August 24, 2022 | Volume: 140 | Issue: 21 | Pages: 2193-2227

10.1182/blood.2022015854 Get It

Abstract With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
Circulating Serum Free Light Chains As Predictive Markers of AIDS-Related Lymphoma
Goedert, James J. , Wilson, Wyndham H. , Dunleavy, Kieron , Kyle, Robert A. , Katzmann, Jerry A., Rajkumar, S. Vincent , Landgren, Ola , Rabkin, Charles S. , Engels, Eric A. , Rajkumar, S Vincent , Dunleavy, Kieron

Journal of Clinical Oncology | January 4, 2010 | Volume: 28 | Issue: 5 | Pages: 773-779

10.1200/jco.2009.25.1322 Get It

Purpose HIV-infected persons have an elevated risk of developing non-Hodgkin's lymphoma (NHL); this risk remains increased in the era of effective HIV therapy. We evaluated serum immunoglobulin (Ig) proteins as predictors of NHL risk among HIV-infected individuals. Patients and Methods By using three cohorts of HIV-infected persons (from 1982 to 2005), we identified 66 individuals who developed NHL and 225 matched (by cohort, sex, ethnicity, age, and CD4 count), HIV-infected, lymphoma-free controls who had available stored prediagnostic blood samples. Serum/plasma samples obtained 0 to 2 years and 2 to 5 years before diagnosis/selection were assayed for IgG, IgM, and IgA levels; monoclonal (M) Igs; and κ and λ free light chain (FLC) levels. Patients and matched controls were compared by using conditional logistic regression. Results The κ and λ FLCs were both significantly higher in patients (eg, in 2- to 5-year window: median κ, 4.24 v 3.43 mg/dL; median λ, 4.04 v 3.09 mg/dL) and strongly predicted NHL in a dose-response manner up to 2 to 5 years before diagnosis/selection (eg, NHL risk 3.76-fold higher with κ concentration at least 2.00 times the upper limit of normal, and 8.13-fold higher with λ concentration at least 2.00 times the upper limit of normal compared with normal levels). In contrast, IgG, IgM, and IgA levels were similar in patients and controls. M proteins were detected in only two patients with NHL (3%) and in nine controls (4%), and they were not significantly associated with NHL risk. Conclusion Elevated FLCs may represent sensitive markers of polyclonal B-cell activation and dysfunction and could be useful for identifying HIV-infected persons at increased NHL risk.