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Zeidner, Joshua F

0000-0002-9014-1514

Mayo Clinic

Division of Hematology, Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC.

Citations 4

Beat-AML 2024 ELN–refined risk stratification for older adults with newly diagnosed AML given lower-intensity therapy
Hoff, Fieke W. , Blum, William , Huang, Ying , Welkie, Rina Li , Swords, Ronan , Traer, Elie , Stein, Eytan M. , Lin, Tara L. , Patel, Prapti A. , Collins, Robert H. , Baer, Maria R. , Arellano, Martha , Odenike, Olatoyosi , Redner, Robert L. , Kovacsovics, Tibor , Deininger, Michael W. , Olin, Rebecca L. , Foran, James M. , Schiller, Gary J. , Curran, Emily , Koenig, Kristin L , Heerema, Nyla A. , Chen, Timothy L. , Martycz, Molly , Stefanos, Mona , Marcus, Sonja G., Rosenberg, Leonard, Burd, Amy , Yocum, Ashley O. , Borate, Uma , Byrd, John C. , Madanat, Yazan F. , Huang, Ying , Byrd, John C. , Duong, Vu H , Deininger, Michael , Zeidner, Joshua F , Smith, Catherine C , Koenig, Kristin L , Druker, Brian J , Mims, Alice S , Madanat, Yazan , Traer, Elie , Lin, Tara L , Byrd, John C , Archer, Kellie J. , Duong, Vu H. , Stock, Wendy , Zeidner, Joshua F. , Smith, Catherine C. , Marcus, Sonja G., Levine, Ross L.

Blood Advances | August 7, 2024 | Volume: 8 | Issue: 20 | Pages: 5297-5305

10.1182/bloodadvances.2024013685 Get It

Abstract Although the 2022 European LeukemiaNet (ELN) acute myeloid leukemia (AML) risk classification reliably predicts outcomes in younger patients treated with intensive chemotherapy, it is unclear whether it applies to adults ≥60 years treated with lower-intensity treatment (LIT). We aimed to test the prognostic impact of ELN risk in patients with newly diagnosed (ND) AML aged ≥60 years given LIT and to further refine risk stratification for these patients. A total of 595 patients were included: 11% had favorable-, 11% intermediate-, and 78% had adverse-risk AML. ELN risk was prognostic for overall survival (OS) (P < .001) but did not stratify favorable- from intermediate-risk (P = .71). Within adverse-risk AML, the impact of additional molecular abnormalities was further evaluated. Multivariable analysis was performed on a training set (n = 316) and identified IDH2 mutation as an independent favorable prognostic factor, and KRAS, MLL2, and TP53 mutations as unfavorable (P < .05). A “mutation score” was calculated for each combination of these mutations, assigning adverse-risk patients to 2 risk groups: −1 to 0 points (“Beat-AML intermediate”) vs 1+ points (“Beat-AML adverse”). In the final refined risk classification, ELN favorable- and intermediate-risk were combined into a newly defined “Beat-AML favorable-risk” group, in addition to mutation scoring within the ELN adverse-risk group. This approach redefines risk for older patients with ND AML and proposes refined Beat-AML risk groups with improved discrimination for OS (2-year OS, 48% vs 33% vs 11%, respectively; P < .001), providing patients and providers additional information for treatment decision-making.
Risk prediction for clonal cytopenia: multicenter real-world evidence
Xie, Zhuoer , Komrokji, Rami S. , Al‐Ali, Najla, Regelson, Alexandra, Geyer, Susan, Patel, Anand , Saygin, Caner , Zeidan, Amer M. , Mendez, Lourdes , Coombs, Catherine C. , Madanat, Yazan F. , Chung, Stephen S. , Badar, Talha , Foran, James M. , Tsai, Charlton , Amanam, Idoroenyi , Deeg, H. Joachim , Adès, Lionel, Osman, Afaf E.G. , Dinner, Shira, Chandhok, Namrata S. , Soong, Deborah, Brunner, Andrew M. , Ferrari, Jacqueline, Pozzi, Sara , Padron, Eric , Patnaik, Mrinal M. , Al‐Kali, Aref , Adès, Lionel , Komrokji, Rami S , Mendez, Lourdes , Zeidner, Joshua F , Madanat, Yazan , Badar, Talha , Griffiths, Elizabeth A. , Al Malki, Monzr M , Lai, Catherine , Arana Yi, Cecilia , Osman, Afaf E G , Abaza, Yasmin , Taylor, Justin , Chandhok, Namrata , Carraway, Hetty E. , Elena, Chiara , Gallì, Anna , Patnaik, Mrinal , Malcovati, Luca , Savona, Michael R , Al-Kali, Aref , Patel, Anand , Xie, Zhuoer , Zeidan, Amer M , Bewersdorf, Jan Philipp , Kishtagari, Ashwin , Zeidner, Joshua F. , Desai, Pinkal , Malki, Monzr M. Al , Lai, Catherine , Yi, Cecilia Arana , Abaza, Yasmin , Singh, Abhay , Malcovati, Luca , Savona, Michael R.

Blood | July 12, 2024 | Volume: 144 | Issue: 19 | Pages: 2033-2044

10.1182/blood.2024024756 Get It

Abstract Clonal cytopenia of undetermined significance (CCUS) represents a distinct disease entity characterized by myeloid-related somatic mutations with a variant allele fraction of ≥2% in individuals with unexplained cytopenia(s) but without a myeloid neoplasm (MN). Notably, CCUS carries a risk of progressing to MN, particularly in cases featuring high-risk mutations. Understanding CCUS requires dedicated studies to elucidate its risk factors and natural history. Our analysis of 357 patients with CCUS investigated the interplay between clonality, cytopenia, and prognosis. Multivariate analysis identified 3 key adverse prognostic factors: the presence of splicing mutation(s) (score = 2 points), platelet count of <100 × 109/L (score = 2.5), and ≥2 mutations (score = 3). Variable scores were based on the coefficients from the Cox proportional hazards model. This led to the development of the clonal cytopenia risk score (CCRS), which stratified patients into low- (score of <2.5 points), intermediate- (score of 2.5 to <5), and high-risk (score of ≥5) groups. The CCRS effectively predicted 2-year cumulative incidence of MN for low- (6.4%), intermediate- (14.1%), and high-risk (37.2%) groups, respectively, by the Gray test (P < .0001). We further validated the CCRS by applying it to an independent CCUS cohort of 104 patients, demonstrating a c-index of 0.64 (P = .005) in stratifying the cumulative incidence of MN. Our study underscores the importance of integrating clinical and molecular data to assess the risk of CCUS progression, making the CCRS a valuable tool that is practical and easily calculable. These findings are clinically relevant, shaping the management strategies for CCUS and informing future clinical trial designs.
Pevonedistat, a first-in-class NEDD8-activating enzyme inhibitor, combined with azacitidine in patients with AML
Swords, Ronan , Maris, Michael B., Zeidner, Joshua F. , Foran, James M. , Cruz, José C. , Tam, Wayne , Vardhanabhuti, Saran , Pawlikowska-Dobler, Iwona , Faessel, Hélène M. , Dash, Ajeeta B. , Sedarati, Farhad , Dezube, Bruce J., Faller, Douglas V. , Swords, Ronan T , Zeidner, Joshua F , Cruz, Jose , Tam, Wayne , Vardhanabhuti, Saran , Pawlikowska-Dobler, Iwona , Dash, Ajeeta B , Sedarati, Farhad , Faller, Douglas V , Savona, Michael R , Coutré, Steven , Erba, Harry Paul , Berdeja, Jesús G. , Savona, Michael R.

Blood | January 18, 2018 | Volume: 131 | Issue: 13 | Pages: 1415-1424

10.1182/blood-2017-09-805895 Get It

Key Points RP2D of PEV 20 mg/m2 in PEV/AZA combo did not alter toxicity profile of AZA; dose-limiting toxicities were transiently elevated AST/ALT. In treatment-naive older AML patients, the intent-to-treat ORR was 50%.