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Branford, Susan

https://orcid.org/0000-0002-5095-7981

Mayo Clinic

South Australia Pathology

Citations 5

IDH-mutant myeloid neoplasms are associated with seronegative rheumatoid arthritis and innate immune activation
Hong, Lih En , Wechalekar, Mihir D. , Small, Annabelle , Lim, Kelly , Thompson-Peach, Chloe , Li, Joule J., Chhetri, Rakchha , Scott, Hamish S. , Brown, Anna , Hahn, Christopher N , Sajid, Salvia , Robinson, Nirmal , Thomas, Ranjeny , Branford, Susan , D’Andrea, Richard J. , Samaraweera, Saumya E. , Patnaik, Mrinal M. , Hiwase, Devendra , Small, Annabelle , Lim, Kelly , Thompson-Peach, Chloe , Scott, Hamish , Brown, Anna L , Hahn, Christopher , Sajid, Salvia , Robinson, Nirmal , Branford, Susan , D'Andrea, Richard J , Samaraweera, Saumya E , Patnaik, Mrinal , Proudman, Susanna , Kok, Chung H , Shah, Mithun V , Hiwase, Devendra , Kutyna, Monika , Yeung, David , THOMAS, DANIEL W. , Kok, Chung Hoow , Shah, Meera

Blood | March 8, 2024 | Volume: 143 | Issue: 18 | Pages: 1873-1877

10.1182/blood.2023023593 Get It

Abstract High prevalence of IDH mutations in seronegative rheumatoid arthritis (RA) with myeloid neoplasm, elevated 2-hydroxyglutarate, dysregulated innate immunity, and proinflammatory microenvironment suggests causative association between IDH mutations and seronegative RA. Our findings merit investigation of IDH inhibitors as therapeutics for seronegative IDH-mutated RA.
High Prevalence of IDH Mutation in Myeloid Neoplasm with Concomitant Autoimmune Rheumatic Disorders
Hong, Lih En , Li, Joule J., Chhetri, Rakchha , Patnaik, Mrinal M. , Wechalekar, Mihir D. , Kok, Chung Hoow , Kutyna, Monika , Ross, David M , Branford, Susan , Scott, Hamish S. , Brown, Anna , Hahn, Christopher N , Yeung, David , Shah, Meera , Proudman, Susanna , Hiwase, Devendra

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 4621-4621

10.1182/blood-2023-190809 Get It

BACKGROUND: The association between myeloid neoplasm (MN) and autoimmune rheumatological diseases (AIRD) is increasingly recognized. Furthermore, prolonged cytotoxic disease modifying anti-rheumatological drugs (DMARD) for AIRD may potentially induce therapy-related MN (t-MN), a lethal haematological malignancy with dismal outcomes. However, the genetic association and mechanism underpinning immune dysfunction in patients with between MN and AIRD is not fully elucidated. METHODS: In this collaborative study across the two disciplines and continents (Australia and USA), we assessed the burden of well-defined AIRD in a large cohort of MN (n=1702) that included myelodysplastic syndrome (MDS; n=861), acute myeloid leukaemia (AML; n=640), myeloproliferative neoplasm (MPN; n=89) and MDS/MPN overlap (n=112). We characterized the cytogenetic and mutational landscape of MN with AIRD (MN-AIRD) and without AIRD. In order to assess the mechanistic link between AIRD and MN, we investigated the bone marrow microenvironment in MN-AIRD vs. well-curated age matched controls. RESULTS: 132 (7.75%) of MN (n=1702) had concomitant AIRD. Although association of AIRD was observed across all subtypes of MN, enrichment of AIRD was observed in patients with MDS, MDS/MPN and MPN compared to AML (9.5% vs. 9.8% vs 10.1% vs. 4.67%; P <0.001). Inflammatory arthritis (n=65; 49.24%) followed by inflammatory connective tissue diseases (CTD, n=23; 17.42%), polymyalgia rheumatica (PMR, n=18; 13.63%) and vasculitis (n=16; 12.12%) were the most prevalent AIRD in the MN cohort. Notably, 87.7% of inflammatory arthritis were rheumatoid arthritis (RA; n=57). Striking survival differences were observed between t-MN without AIRD and MN-AIRD (14.0 vs. 33.7 months; P <0.0001) and t-MDS no-AIRD and MDS-AIRD (16.1 vs. 33.4 months, P =0.001). Chromosomal abnormalities including complex karyotype, monosomal karyotype, del 5q, del 7q, marker chromosome and TP53 mutations were enriched in t-MN following independent primary cancer (t-MN without AIRD). However striking enrichment of IDH1 and IDH2 (henceforth referred as IDH) mutations in MN with AIRD compared to MN without AIRD (20% vs. 11%, P =0.02), particularly in MDS-AIRD compared to MDS without AIRD (21% vs. 7%; P =0.001). The enrichment of IDH mutations were particularly prevalent in in MN cases with RA compared to other AIRD (34% vs. 11%; P =0.005). While IDH mutations were observed in only 8% and 6% of PMR and inflammatory CTD patients, respectively. Surprisingly higher frequency of IDH mutations was observed in evaluable seronegative compared to seropositive RA patients (62% vs. 0%; P =0.006). We also observed that majority of IDH mutations in seronegative RA were IDH1 (6/8; 75%) while IDH2 mutations were common other AIRD (6/6; 100%) ( P =0.009). We also assessed the impact of DMARDs on genomics of myeloid neoplasm. The majority of MN-AIRD patients treated with methotrexate did not harbor poor risk cytogenetic and mutation features such as complex karyotype, monosomal karyotype, del 5q, del 7q and/or TP53 mutation. In contrast, the majority of patients who had cyclophosphamide harbored high risk cytogenetic and molecular features. To assess pathogenic mechanisms linking MN and AIRD, we evaluated bone marrow microenvironment in myeloid neoplasm patients with and without AIRD. Bone marrow mesenchymal stromal cells (MSC) isolated from MN-AIRD were highly senescent compared to age matched healthy controls, MN without AIRD, with defective proliferating and differentiation capacity of MN-AIRD and secretion of highly proinflammatory cytokines and chemokines. CONCLUSIONS: In summary, our key findings include: 7.8% of MN were associated with AIRD with stronger association of AIRD with MDS and MDS/MPN compared to AML and striking enrichment of IDH mutations in MN with inflammatory arthritis compared to MN with other AIRD (29% vs 11%; P =0.02), especially in seronegative RA compared to seropositive RA (62% vs. 0%; P =0.006). In contrast to cyclophosphamide and azathioprine, majority of cases treated with methotrexate did not harbor poor risk cytogenetic and/or TP53 mutation. As methotrexate is widely used as an anchor drug in many rheumatology treatment regimens, this is a highly significant finding of clinical relevance.
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.
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.
Development of a Data Portal for Aggregation and Analysis of Genomics Data in Familial Platelet Disorder with Predisposition to Myeloid Malignancy - the RUNX1.DB
Armstrong, M. , Tawana, Kiran , Degelman, Erin, Natsoulis, Georges, Patnaik, Mrinal M. , Schlegelberger, Brigitte , Mecucci, Cristina , Velloso, Elvira DRP, Santos, Fabio P S, Silva, Marcela CA, Borate, Uma , Nalepa, Grzegorz, Ragg, Susanne , Kwon, Erika M., Agarwal, Anupriya , Klco, Jeffery M. , Forsyth, Cecily , Mapp, Sally , Fan, Helen Mar , Rawlings, Lesley , Susman, Rachel , Morgan, Sue , Vulliamy, Tom, Papaemmanuil, Elli , Fröhling, Stefan , Krämer, Alwin , Owen, Carolyn , Rienhoff, Hugh Young , Kurokawa, Mineo , Liu, Paul , Brown, Anna , Armstrong, Mark, Lawrence, David , Wang, Paul Po-Shen , Arts, Peer , Duployez, Nicolas , Churpek, Jane E. , Guzmán, Mónica L. , Shimamura, Akiko , Cantor, Alan B , Ripperger, Tim , Steinemann, Doris , DiNardo, Courtney D. , Velloso, Elvira Deolinda Rodrigues Pereira , McWeeney, Shannon K. , Nalepa, Grzegorz , Langabeer, Stephen E. , Yang, Jun J.J. , Morgan, Sue, Wei, Andrew H. , Dokal, Inderjeet S , Hiwase, Devendra , Singhal, Deepak , Branford, Susan , Soulier, Jean , Sauvageau, Guy , Morgan, Neil V. , Bödör, Csaba , Fitzgibbon, Jude , Godley, Lucy A. , Preudhomme, Claude , Poplawski, Nicola Kazia , Hahn, Christopher N , Scott, Hamish S.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 5241-5241

10.1182/blood-2018-99-118017 Get It

Abstract Background: It has been known for approximately 19 years that germline mutations in RUNX1, lead to familial platelet disorder with predisposition to myeloid malignancy (FPD-MM, OMIM 601399). Since that time researchers have identified a broad range of different RUNX1 mutations, in over 100 families. In large families, the diagnosis of malignancy shows variable penetrance among family members with the same mutation; some carriers of RUNX1 mutations do not develop malignancy. The causes of this heterogeneity are currently not known, complicating counselling and risk analysis for individual carriers. Recent advances in genetic sequencing technology applied by many FPD-MM research groups around the world have highlighted their value in understanding the somatic genetic changes that are associated with development of malignancies in germline RUNX1 mutation carriers. Collectively this information could lead to powerful insights essential for more precise risk assessment, monitoring, and therapeutic intervention. Specifically, a growing catalogue of somatic mutations associated with germline RUNX1 malignancy offers the opportunity for informed monitoring of asymptomatic RUNX1 carriers for additional high-risk somatic mutations, in turn providing the possibility for early therapeutic intervention to arrest the leukemic process. The challenge in advancing these goals for FPD-MM is the relative rarity of the disorder in individual populations. Global data sharing in a highly interactive FPD-MM research community offers a solution to this problem that benefits all patients world-wide. Aims: To create a global RUNX1 network through identifying and contacting researchers and clinicians with known and novel germline RUNX1 families, seeking their collaboration to share genomics data. To create a RUNX1.db portal to collectively house and analyse genomics data from germline RUNX1 carriers, with associated phenotype and clinical information, such that researchers have an ongoing means by which to combine their data with those generated by other groups around the world. Methods: RUNX1 network : Through existing collaborative networks, a systematic review of the literature, and referrals from initial contacts, we have identified a global network of researchers managing FPD-MM cases and families. RUNX1.db: We have adapted a custom-built variant analysis platform, VariantGrid, that is a visual web application and database designed to help scientists manage and analyse DNA variants that can be used to aggregate and analyse multiple datasets. Results: Preliminary analysis of aggregated data from the literature suggests there are features of germline RUNX1 syndrome that can be ascertained. These include frequent somatic mutation of RUNX1 in malignancy development, as well as mutations in genes associated with clonal hematopoiesis that may precede development of overt leukemia. This analysis also suggests that different types of germline RUNX1 mutations may be associated with different combinations of somatic mutations in the tumour. To further this analysis, we have identified over 70 groups internationally that either manage RUNX1 families or have identified potential germline carriers through genomics initiatives. This represents a large and growing resource for both scientific studies and clinical programs to benefit individuals with FPD-MM. Many of these groups have generated NGS data sets from patient samples which will be available for analysis through this portal. Further details and activities of the network, and results from the genomics aggregation database will be presented. Conclusion: We have created a global RUNX1 network, aggregated their data, and generated a RUNX1.db genomics portal for the continuous curation of genomics data from germline RUNX1 carriers. A preliminary analysis has already identified specific features of germline RUNX1 mutated malignancies that have clinical importance. Ongoing scientific and clinical studies through the RUNX1 network will enhance the power of aggregated data analysis, with RUNX1.db providing a central link, driving new insights that benefit patients. Disclosures Natsoulis: Imago BioSciences, Inc.: Consultancy, Equity Ownership. Guzman:Cellectis: Research Funding. DiNardo:Bayer: Honoraria; Karyopharm: Honoraria; Celgene: Honoraria; Agios: Consultancy; Medimmune: Honoraria; Abbvie: Honoraria. Borate:Novartis: Consultancy; Agios: Consultancy. Wei:Amgen: Honoraria, Other: Advisory committee, Research Funding; Pfizer: Honoraria, Other: Advisory committee; Celgene: Honoraria, Other: Advisory committee, Research Funding; Abbvie: Honoraria, Other: Advisory board, Research Funding, Speakers Bureau; Servier: Consultancy, Honoraria, Other: Advisory committee, Research Funding; Novartis: Honoraria, Other: Advisory committee, Research Funding, Speakers Bureau. Dokal:MRC, Bloodwise, Telomerase Activator Sciences: Research Funding; The Gary Woodward Dyskeratosis Congenita Trust: Membership on an entity's Board of Directors or advisory committees; Action Medical Research, European School of Haematology: Membership on an entity's Board of Directors or advisory committees; Barts and The London School of Medicine and Dentistry, Queen Mary University of London,: Employment, Research Funding; Telomerase Activator Sciences: Research Funding; Barts and The London, Queen Mary University of London: Employment; Gary Woodward Dyskeratois Congenita Trust: Membership on an entity's Board of Directors or advisory committees. Hiwase:Novartis: Research Funding; Celgene: Research Funding. Branford:Cepheid: Honoraria; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Qiagen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Kramer:Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Research Funding; Daiichi Sankyo: Consultancy. Owen:Merck: Honoraria; Teva: Honoraria; AbbVie: Research Funding; Pharmacyclics: Research Funding; Janssen: Honoraria, Research Funding; Celgene: Research Funding; AstraZeneca: Honoraria, Research Funding; F. Hoffmann-La Roche Ltd: Honoraria, Research Funding. Fitzgibbon:Epizyme: Consultancy, Research Funding; Gilead: Consultancy. Rienhoff:Imago BioSciences, Inc.: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Kurokawa:Astellas Pharma: Research Funding; Sumitomo Dainippon Pharma: Research Funding; Nippon Sinyaku: Honoraria, Research Funding; Kyowa Hakko Kirin: Honoraria, Research Funding; Eizai: Research Funding; MSD: Honoraria, Research Funding; Ono Pharmaceutical: Honoraria, Research Funding; Pfizer: Research Funding; Takeda Pharmaceutical: Research Funding; Otsuka Pharmaceutical: Research Funding; Teijin Pharma: Research Funding; Chugai Pharmaceutical: Research Funding.