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Bagg, Adam

https://orcid.org/0000-0002-1669-468X

Mayo Clinic

University of Pennsylvania

Citations 16

Chronic myelomonocytic leukemia in the young (aged 50 years and younger): Divergent clinical and molecular characteristics from the elderly
Ok, Chi Young , Natu, Anuya , Fathalla, Lamiaa A. , Symes, Emily , Barone, Paul , Shestakova, Anna , Foucar, Kathryn , Bueso‐Ramos, Carlos E. , Montalban‐Bravo, Guillermo , Patnaik, Mrinal M. , Hasserjian, Robert P. , Geyer, Julia T. , Bagg, Adam , Reichard, Kaaren K. , Wang, Sa A. , Bravo, Guillermo Montalban , Daneshpajouhnejad, Parnaz , Orazi, Attilio , Arber, Daniel A.

Cancer | November 14, 2025 | Volume: 131 | Issue: 22 | Pages: No page available

10.1002/cncr.70176 Get It

ABSTRACT Background Chronic myelomonocytic leukemia (CMML) is largely a disease of individuals older than 50 years; its occurrence in patients aged 50 years and younger is rare. The authors sought to characterize the clinicopathologic features and genetic profile of young‐onset (age 50 years and younger) CMML (y‐CMML) compared with older onset (older than 50 years) CMML (o‐CMML). Methods The authors conducted a multi‐institutional study of 32 patients with y‐CMML and 119 patients with o‐CMML, analyzing clinical, morphologic, cytogenetic, and molecular data. Results Patients who had y‐CMML frequently presented with splenomegaly (59% vs. 11%; p < .001) and hepatomegaly (25% vs. 2%; p < .001) compared with those who had o‐CMML. Although the overall incidence of cytogenetic abnormalities was similar, patients who had y‐CMML exhibited distinct mutational patterns. PTPN11 mutations were significantly more common in y‐CMML (13% vs. 3%; p = .034) than in o‐CMML, whereas TET2 (6% vs. 57%; p < .001) and SRSF2 (16% vs. 46%; p = .002) mutations were significantly less frequent. In addition, multi‐hit TET2 (6% vs. 34%; p = .002) and TET2‐SRSF2 (3% vs. 29%; p = .003) co‐mutations were rare in y‐CMML. However, the molecular differences did not affect the CMML‐specific risk‐stratification categories because the clinical outcomes, including overall survival and leukemia‐free survival, did not differ between the two groups. Conclusions CMML in patients aged 50 years and younger is rare and presents with unique clinical and mutational features, suggesting a distinct pathogenesis.
Acute Leukemias of Ambiguous Lineage With RUNX1 Mutations Show Similar Prognosis Compared to Acute Myeloid Leukemia With RUNX1 Mutations: A Study From the Bone Ma
Kirtek, Timothy , Chen, Weina , Harris, Jaryse , Bagg, Adam , Foucar, Kathryn , Tam, Wayne , Orazi, Attilio , Hasserjian, Robert P. , Wang, Sa A. , Ng, David P. , Reichard, Kaaren K. , Symes, Emily , Zhang, Xinmin , Weinberg, Olga K. , Kirtek, Timothy J , Wang, Sa A , Ng, David P , Shi, Min , Zhang, Xinmin , Arber, Daniel A , Orazi, Attilio , Hsi, Eric D. , George, Tracy I. , Arber, Daniel A.

American Journal of Hematology | October 18, 2025 | Volume: 101 | Issue: 1 | Pages: 70-78

10.1002/ajh.70116 Get It

ABSTRACT The World Health Organization (WHO) 5th Edition and International Consensus Classification (ICC) have continued to delineate more genetically defined acute leukemias. Both recognize genetic aberrations associated with myelodysplastic syndromes/neoplasms (MDS) as defining MDS‐related AML (AML‐MR). Mutations in RUNX1 are included in this category in the ICC, but not WHO. The current classifications are unclear on how acute leukemias with ambiguous lineage (ALAL), including those of mixed lineage (MPAL) and those without a defined lineage (AUL), should be categorized in the presence of such mutations. Our multi‐institutional study aims to determine the significance of RUNX1 mutation in ALAL compared to de novo AML. Newly diagnosed MPAL, AUL, and AML with RUNX1 mutations were collected. ALAL with MDS‐related cytogenetics, BCR::ABL1 , KMT2A rearrangements, or ZNF384 or BCL11b abnormalities were excluded. We analyzed 17 cases of ALAL and 71 cases of AML that met inclusion criteria. ALAL‐ RUNX1 and AML‐ RUNX1 showed overlapping mutational landscapes with frequent comutations in MDS‐associated genes. No ALAL‐ RUNX1 or AML‐ RUNX1 cases showed concomitant TP53 mutation. ALAL‐ RUNX1 had more bone marrow blasts and more karyotypic abnormalities; however, neither impacted survival, nor did RUNX1 variant allele frequency (VAF). Survival analysis revealed similarly poor outcomes between them. AML‐directed therapies and allogeneic hematopoietic stem cell transplant trended toward improved survival in ALAL‐ RUNX1; however, it did not reach significance. Our results suggest ALAL‐ RUNX1 is associated with younger age, higher blasts, and more karyotypic abnormalities, but has similar clinical and genetic features and outcomes to AML‐ RUNX1 . Our findings suggest, like other MR mutations, RUNX1 ‐mutated ALALs should be included within AML‐MR.
Guide to the diagnosis of lymphoid neoplasms in blood and bone marrow: A Bone Marrow Pathology Group approach
Foucar, Kathryn , Bagg, Adam , Bueso‐Ramos, Carlos E., Geyer, Julia T. , Hasserjian, Robert P. , Reichard, Kaaren K. , Tam, Wayne , Wang, Sa A. , Weinberg, Olga K. , Geyer, Julia T , Hsi, Eric D , Arber, Daniel A. , Bueso-Ramos, Carlos, Orazi, Attilio , Hsi, Eric D.

American Journal of Clinical Pathology | June 10, 2025 | Volume: 164 | Issue: 5 | Pages: 650-693

10.1093/ajcp/aqaf068 Get It

Abstract Objective The successful diagnosis and classification of lymphoid neoplasms in blood and bone marrow is the responsibility of the practicing pathologist. This guide provides a general “roadmap” for this process, from initial case recognition to final classification. Methods The integration of hematologic, morphologic, immunophenotypic, and genetic features for the full spectrum of precursor and mature B-cell, T-cell, and natural killer–cell neoplasms that typically manifest in blood and bone marrow is included. Results Classification systems for lymphoid neoplasms provide criteria for pathologists to render a diagnosis that is optimal for patient care, treatment, and outcome prediction. Conclusions This guide provides diagnostic strategies for lymphoid neoplasms encountered in blood and bone marrow specimens using both the International Consensus Classification and the World Health Organization fifth edition classification systems. Key tips are provided for each entity along with testing requirements, differential diagnosis, nonneoplastic mimics, and other unique features based on the experience of the Bone Marrow Pathology Group members.
Characterizing the heterogeneity of Castleman disease and oligocentric subtype: findings from the ACCELERATE registry
Pierson, Sheila K. , Brandstadter, Joshua D. , Torigian, Drew A. , Bagg, Adam , Lechowicz, Mary Jo , Alapat, Daisy , Casper, Corey , Chadburn, Amy , Chandrakasan, Shanmuganathan , Hoffmann, Christian , Oksenhendler, Éric , Bustamante, Mateo Sarmiento , Streetly, Matthew , Zhang, Lu , Srkalović, Gordan , Dispenzieri, Angela , Fosså, Alexander , Hoffmann, Christian , Ide, Makoto , Kurzrock, Razelle , Mukherjee, Sudipto , Nasta, Sunita , Navarro, José-Tomás , Noy, Ariela , Oksenhendler, Eric , Bustamante, Mateo Sarmiento , Shyamsundar, Saishravan , Wong, Raymond S M , Lim, Megan S , Srkalovic, Gordan , van Rhee, Frits , Fajgenbaum, David C , Casper, Corey , Chandrakasan, Shanmuganathan , Dispenzieri, Angela , Fosså, Alexander , Ide, Makoto , Noy, Ariela , Wong, Raymond , Lim, Megan S. , Rhee, Frits van , Fajgenbaum, David C.

Blood Advances | February 14, 2025 | Volume: 9 | Issue: 8 | Pages: 1952-1965

10.1182/bloodadvances.2024014391 Get It

Abstract Castleman disease (CD) describes a group of rare lymphoproliferative disorders that exhibit a wide range of symptomatology and degree of lymphadenopathy, particularly across the 2 forms of CD with unknown etiology, unicentric CD (UCD), and human herpesvirus-8–negative/idiopathic multicentric CD (iMCD). Whereas UCD cases typically present with localized lymphadenopathy and mild symptoms, iMCD involves multicentric lymphadenopathy and cytokine storm–driven symptoms with 3 recognized clinical phenotypes. Increasingly, there are anecdotal reports of cases that do not fit into this framework, but these cases have not been systematically described. Herein, we use the ACCELERATE natural history registry to characterize the spectrum of CD based on disease features, symptomatology, and severity. Our results characterize a cohort of 179 CD cases, which were reviewed and confirmed by an expert panel of clinicians and hematopathologists. We show that patients with CD present on a continuous spectrum of clinical phenotypes, and we describe oligocentric CD (OligoCD), an intermediate phenotype that does not fit the criteria for UCD or iMCD. These cases tend to have “oligocentric” lymphadenopathy (median [interquartile range] regions of lymphadenopathy, 3.0 [2.0-4.0]) in a regional pattern and exhibit a mild clinical phenotype that is more similar to UCD than iMCD. We also show that patients with OligoCD are inconsistently categorized as UCD vs iMCD, highlighting the need for this characterization. Future data collected through ACCELERATE may further elucidate the natural history and risk profile of these patients.
Acute Leukemias of Ambiguous Lineage With MDS‐Associated Mutations Show Similar Prognosis Compared to Acute Myeloid Leukemia With MDS‐Associated Mutations: A Study From the Bone Marrow Pathology Group
Kirtek, Timothy , Chen, Weina , Harris, Jaryse , Bagg, Adam , Foucar, Kathryn , Tam, Wayne , Orazi, Attilio , Hasserjian, Robert P. , Wang, Sa A. , Reichard, Kaaren K. , Symes, Emily , Zhang, Xinmin , Weinberg, Olga K. , Kirtek, Timothy J , Wang, Sa A , Shi, Min , Zhang, Xinmin , Arber, Daniel A , Orazi, Attilio , Hsi, Eric D. , Ng, David P. , George, Tracy I. , Arber, Daniel A.

American Journal of Hematology | November 23, 2024 | Volume: 100 | Issue: 2 | Pages: 300-304

10.1002/ajh.27537 Get It

Predictors of clinical outcome in myeloproliferative neoplasm, unclassifiable: A Bone Marrow Pathology Group study
Crane, Genevieve M. , Geyer, Julia T. , Wang, Sa A. , Li, Ke David, Davis, Adam R. , Bosler, David , Bueso‐Ramos, Carlos E. , Bagg, Adam , Hasserjian, Robert P. , Hsi, Eric D , Thakral, Beenu , Wool, Geoffrey D. , Boiocchi, Leonardo , Arber, Daniel A. , George, Tracy I. , Orazi, Attilio , Hsi, Eric D. , Rogers, Heesun J.

American Journal of Clinical Pathology | April 10, 2024 | Volume: 162 | Issue: 3 | Pages: 233-242

10.1093/ajcp/aqae033 Get It

Abstract Objectives Myeloproliferative neoplasm, unclassifiable (MPN-U, revised to MPN, not otherwise specified in the fifth edition of the World Health Organization classification) is a heterogeneous category of primary marrow disorders with clinical, morphologic, and/or molecular features that preclude classification as a more specific MPN subtype due to stage at diagnosis, overlapping features between MPN subtypes, or the presence of coexisting disorders. Compared with other MPN subtypes, the contribution of the mutational landscape in MPN-U in conjunction with other clinical and morphologic biomarkers to prognosis has been less well investigated. Methods We performed a multicenter, retrospective study of MPN-U (94 cases) to better define the clinicopathologic features, genetic landscape, and clinical outcomes, including subgroups of early-stage, advanced-stage, and coexisting disorders. The Dynamic International Prognostic Scoring System (DIPSS) plus scoring system was applied to assess its relevance to MPN-U prognosis. Results Multivariate analysis demonstrated bone marrow blast count and DIPSS plus score as statistically significant in predicting overall survival. Univariate analysis identified additional potential poor prognostic markers, including abnormal karyotype and absence of JAK2 mutation. Secondary mutations were frequent in the subset analyzed by next-generation sequencing (26/37 cases, 70.3%) with a borderline association between high molecular risk mutations and overall survival. Conclusions This study, as one of the largest of MPN-U studies incorporating both clinicopathologic and molecular data, moves toward identification of biomarkers that better predict prognosis in this heterogeneous category.
Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia
Duncavage, Eric J., Bagg, Adam , Hasserjian, Robert P. , DiNardo, Courtney D. , Iacobucci, Ilaria , Jaiswal, Siddhartha , Vannucchi, Alessandro M. , Patel, Keyur P. , Arcila, Maria E. , Borowitz, Michael J., Cargo, Catherine , Garcia‐Manero, Guillermo , Haferlach, Torsten , Hellström‐Lindberg, Eva , Klco, Jeffery M. , Loh, Mignon Lee-Cheun, Papaemmanuil, Elli , Reiter, Andreas , Skoda, Radek C. , Solé, Françesc , Stone, Richard M. , Tefferi, Ayalew , Wu, David , Ebert, Benjamin L. , Cazzola, Mario , Godley, Lucy A , Iacobucci, Ilaria , Jaiswal, Siddhartha , Malcovati, Luca , Vannucchi, Alessandro M , Patel, Keyur P , Arber, Daniel A , Bejar, Rafael , Branford, Susan , Brown, Anna L , Döhner, Hartmut , Falini, Brunangelo , Kim, Annette S , Komrokji, Rami S , Loghavi, Sanam , Mullighan, Charles G , Ogawa, Seishi , Ross, David M , Savona, Michael R , Shimamura, Akiko , Solé, Francesc , Walter, Matthew J , Wu, David , Ebert, Benjamin L , Cazzola, Mario , DiNardo, Courtney , Godley, Lucy A. , Malcovati, Luca , Arber, Daniel A. , Berliner, Nancy , Branford, Susan , Brown, Anna , Falini, Brunangelo , Komrokji, Rami S. , Loh, Mignon L. , Loghavi, Sanam , Mullighan, Charles G. , Orazi, Attilio , Savona, Michael R.

Blood | September 21, 2022 | Volume: 140 | Issue: 21 | Pages: 2228-2247

10.1182/blood.2022015853 Get It

Abstract Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms.
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.
International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data
Arber, Daniel A. , Hasserjian, Robert P. , Borowitz, Michael J., Kvasnicka, Hans Michael , Wang, Sa A. , Bagg, Adam , Barbui, Tiziano , Branford, Susan , Bueso‐Ramos, Carlos E. , Cortes, Jörge E. , Cin, Paola Dal , Dombret, Hervé , Duncavage, Eric J., Ebert, Benjamin L. , Estey, Elihu H. , Foucar, Kathryn , Gangat, Naseema , Gökbuget, Nicola , Hellström‐Lindberg, Eva , Beau, Michelle M. Le , Löwenberg, Bob , Malcovati, Luca , Odenike, Olatoyosi , Papaemmanuil, Elli , Porkka, Kimmo , Radich, Jerald P. , Reiter, Andreas , Rudelius, Martina , Schiffer, Charles A. , Sierra, Jorge , Stone, Richard M. , Tallman, Martin S. , Thiele, Jürgen, Tzankov, Alexandar , Wei, Andrew H. , Weinberg, Olga K. , Wierzbowska, Agnieszka , Cazzola, Mario , Tefferi, Ayalew , Hasserjian, Robert P , Kvasnicka, Hans-Michael , Barbui, Tiziano , Branford, Susan , Cortes, Jorge , DiNardo, Courtney , Ebert, Benjamin L , Gangat, Naseema , Gianelli, Umberto , Hobbs, Gabriela S , Larson, Richard A , Löwenberg, Bob , Macintyre, Elizabeth , Malcovati, Luca , Mullighan, Charles G , Niemeyer, Charlotte Marie , Ogawa, Seishi , Passamonti, Francesco , Porkka, Kimmo , Savona, Michael R , Schmitt-Graeff, Annette , Shimamura, Akiko , Vannucchi, Alessandro M , Vyas, Paresh , Wei, Andrew H , Wierzbowska, Agnieszka , Cazzola, Mario , Döhner, Hartmut , Tzankov, Alexandar , Arber, Daniel A , Orazi, Attilio , Calvo, Katherine R. , DiNardo, Courtney D. , Facchetti, Fabio , Gianelli, Umberto , Godley, Lucy A. , Gotlib, Jason , Hobbs, Gabriela , Hoffman, Ronald , Jabbour, Elias , Kiladjian, Jean‐Jacques , Larson, Richard A. , Loh, Mignon L. , Macintyre, Elizabeth , Mullighan, Charles G. , Órfão, Alberto , Passamonti, Francesco , Pui, Ching-Hon , Rozman, Marı́a , Savona, Michael R. , Stock, Wendy , Tien, Hwei‐Fang , Vannucchi, Alessandro M.

Blood | June 29, 2022 | Volume: 140 | Issue: 11 | Pages: 1200-1228

10.1182/blood.2022015850 Get It

Abstract The classification of myeloid neoplasms and acute leukemias was last updated in 2016 within a collaboration between the World Health Organization (WHO), the Society for Hematopathology, and the European Association for Haematopathology. This collaboration was primarily based on input from a clinical advisory committees (CACs) composed of pathologists, hematologists, oncologists, geneticists, and bioinformaticians from around the world. The recent advances in our understanding of the biology of hematologic malignancies, the experience with the use of the 2016 WHO classification in clinical practice, and the results of clinical trials have indicated the need for further revising and updating the classification. As a continuation of this CAC-based process, the authors, a group with expertise in the clinical, pathologic, and genetic aspects of these disorders, developed the International Consensus Classification (ICC) of myeloid neoplasms and acute leukemias. Using a multiparameter approach, the main objective of the consensus process was the definition of real disease entities, including the introduction of new entities and refined criteria for existing diagnostic categories, based on accumulated data. The ICC is aimed at facilitating diagnosis and prognostication of these neoplasms, improving treatment of affected patients, and allowing the design of innovative clinical trials.
Insufficient evidence exists to use histopathologic subtype to guide treatment of idiopathic multicentric Castleman disease
Fajgenbaum, David C. , Wu, David , Goodman, Aaron M. , Chadburn, Amy , Srkalović, Gordan , Leitch, Heather A. , Jayanthan, Raj , Schey, Steve , Oksenhendler, Éric , Lechowicz, Mary Jo , Hoffmann, Christian , Pemmaraju, Naveen , Bagg, Adam , Lim, Megan S. , group, the Castleman Disease Collaborative Network Scientific Advisory Board diagnostic criteria international working group and treatment guidelines international working, Wong, Raymond S M , Ferrero, Simone , Dispenzieri, Angela , Zinzani, Pier Luigi , van Rhee, Frits , Fajgenbaum, David C , Lim, Megan S , Wong, Raymond , Nasta, Sunita , Mukherjee, Sudipto , Ferrero, Simone , Sato, Yasuharu , Dispenzieri, Angela , Zinzani, Pier Luigi , Fosså, Alexander , Rhee, Frits van , group, the Castleman Disease Collaborative Network Scientific Advisory Board diagnostic criteria international working group and treatment guidelines international working

American Journal of Hematology | September 16, 2020 | Volume: 95 | Issue: 12 | Pages: 1553-1561

10.1002/ajh.25992 Get It

AbstractIdiopathic multicentric Castleman disease (iMCD) is a rare immunologic disorder characterized by systemic inflammation, multicentric lymphadenopathy, and organ dysfunction. Enlarged lymph nodes demonstrate a spectrum of characteristic but variable histopathologic features historically categorized into hyaline vascular (HV) (or hypervascular [HyperV] more recently), plasmacytic, or “mixed.” Though the etiology is unknown, a pro‐inflammatory cytokine storm, often involving interleukin‐6 (IL‐6), contributes to pathogenesis. Anti‐IL‐6 therapy with siltuximab is the only FDA‐ or EMA‐approved treatment based on efficacy and safety in multiple studies. Importantly, no patients considered to have HV histopathology achieved the primary endpoint in the Phase II study. NCCN currently recommends siltuximab first‐line for iMCD, except for patients considered to have HV histopathology. We investigated whether histopathologic subtype should guide siltuximab treatment decisions. Secondary analyses of clinical trial and real‐world data revealed similar clinical benefit across histopathologic subtypes. Notably, only 18 of 79 patients in the Phase II study were consistently classified into histopathologic subtype by three independent review panels, demonstrating limited reliability to guide treatment decisions. Real‐world data further demonstrate siltuximab's effectiveness in patients considered to have HV (or HyperV). Though histopathology is a critical component for diagnosis, there is insufficient evidence to guide treatment based solely on lymph node histopathologic subtype.