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Norkin, Maxim

https://orcid.org/0000-0001-6048-7760

Mayo Clinic

Baptist MD Anderson Cancer Center

Citations 6

Gilteritinib as Post-Transplant Maintenance for AML With Internal Tandem Duplication Mutation of FLT3
Levis, Mark J. , Hamadani, Mehdi , Logan, Brent R. , Jones, Richard J. , Singh, Anurag K. , Litzow, Mark R. , Wingard, John R. , Papadopoulos, Esperanza B. , Perl, Alexander E. , Soiffer, Robert J. , Üstün, Celalettin , Uy, Geoffrey L. , Vasu, Sumithra, Solh, Melhem , Mishra, Asmita , Muffly, Lori , Mikesch, Jan‐Henrik , Onozawa, Masahiro , Thomson, Kirsty , Nagler, Arnon , Marcucci, Guido , Geller, Nancy L. , Hasabou, Nahla, Delgado, David, Rosales, Matt, Hill, Jason E. , Gill, Stanley C. , Nuthethi, Rishita, King, Denise , Wittsack, Heather, Mendizabal, Adam , Horowitz, Mary M. , Chen, Yi‐Bin , Investigators, on behalf of the BMT-CTN 1506/MORPHO Study, Agura, Ed, Altman, Jessica K. , Anagnostopoulos, Achiles, Aulitzky, Walter E. , Balderman, Sophia , Ballen, Karen K. , Béguin, Yves , Berkahn, Leanne, Bilmon, Ian , Briggs, Adrienne, Brunstein, Claudio G. , Byrne, Michael , Carrum, George, Černý, Jan , Ciceri, Fabio , Colorado, Mercedes , Cook, Rachel J. , Couriel, Daniel R. , Damon, Lloyd E. , Deol, Abhinav , Desbrosses, Yohan, Devine, Steve, Grazia, Carmela Di, Stasi, Antonio Di , Dias, Ajoy , Dorritie, Kathy, Essell, James , Eto, Tetsuya , Forcade, Édouard , Frankfurt, Olga, Fukuda, Takahiro , Fürst, Sabine , Goto, Tatsunori , Hall, Aric C. , Hatta, Shunsuke , Hicheri, Yosr , Horwitz, Mitchell E. , How, Jonathan, Howard, Dianna S. , Hsu, Wei‐Hsun , Huynh, Anne , Irvine, David, Ishikawa, Takayuki , Jamieson, Katarzyna , Wiktor-Jędrzejczak, W , Karakasis, Dimitrios, Kato, Jun , Kekre, Natasha , Khera, Nandita , Klein, A. , Kobbe, Guido , Kornblit, Brian, Lachance, Silvy , Levis, Mark J., Lin, Tung‐Liang , Litzow, Mark, Liu, Ta‐Chih, Martelli, Maurizio , Matsuoka, Ken‐ichi , McCarty, John M. , Mendez, Lourdes , Michelis, Fotios V. , Mikesch, Jan-Henrik, Mineishi, Shin , Moors, Ine , Motyckova, Gabriela, Mueller, Lutz Peter , Muffly, Lori, Nakamae, Hirohisa , Nathan, Sunita , Norkin, Maxim , Ogawa, Yoshiaki, Olesen, G., Onozawa, Masahiro, Paulson, Kristjan, Pemberton, Lucy, Perera, Travis, Perl, Alexander E., Piątkowska‐Jakubas, Beata, Protheroe, Rachel, Ross, Kelly , Santarone, Stella , Sawa, Masashi , Schaar, Dale , Scheid, Christoph, Schriber, Jeffrey, Seropian, Stuart , Shah, Nilay , Shah, Nirav N. , Gil, Jorge Sierra, Sobecks, Ronald , Sprague, Kellie , Spyridonidis, Alexandros , Stelljes, Matthias , Stiff, Patrick J. , Tandra, Anand, Tholouli, Eleni , Thomas, Xavier , Tomlinson, Benjamin , Ustun, Celalettin, Uy, Geoffrey L., Ferreiras, David Valcarcel, Wagner, Eva , Watson, Anne-Marie, Wolschke, Christine, Yamauchi, Takuji , Yeh, Su‐Peng , Logan, Brent , Litzow, Mark R. , Ueda Oshima, Masumi , Uy, Geoffrey , Waller, Edmund K , Solh, Melham M , Mishra, Asmita , Muffly, Lori , Kim, Hee-Je , Najima, Yuho , Onozawa, Masahiro , Nagler, Arnon , Wei, Andrew H , Geller, Nancy , Hill, Jason , Gill, Stanley C , King, Denise , Devine, Steven , Horowitz, Mary , Chen, Yi-Bin , Hamadani, Mehdi , Ueda, Masumi , Waller, Edmund K. , Wei, Andrew H. , Devine, Steven M. , Investigators, on behalf of the BMT-CTN 1506/MORPHO Study, Anagnostopoulos, Achiles, Anand, Sarah , Artz, Andrew , Becker, Michael W. , Berneman, Zwi Nisan , Bhatt, Vijaya Raj , Bonifazi, Francesca , Bruno, Benedetto , Byrne, Jenny , Cabrero, Mónica , Cairoli, Roberto , Cheong, June‐Won , Colorado, Mercedes , Craddock, Charles , Grazia, Carmela Di, Farag, Sherif Shafik , Fujiwara, Shin‐ichiro , Fukushima, Kentaro , Hou, Hsin‐An , Jethava, Yogesh S. , Jiménez, Antonio , Jung, Chul Won , Kanda, Junya , Klein, Andreas, Kota, Vamsi , Leber, Brian F. , Lee, Catherine J , Lee, Je‐Hwan , Levis, Mark J., Litzow, Mark, Martínez, Carmen , Mikesch, Jan-Henrik, Mohty, Mohamad , Mueller, Lutz, Muffly, Lori, Nakano, Nobuaki , Nicholson, Emma , Oluwole, Olalekan O. , Onozawa, Masahiro, Pantin, Jeremy , Perl, Alexander E., Poiré, Xavier , Rambaldi, Alessandro , Ritchie, David , Rubio, Marie‐Thérèse , Sanz, Jaime , Shore, Tsiporah B. , Socié, Gèrard , Stuart, Robert K. , Tanaka, Masatsugu , Tiribelli, Mario , Tsirigotis, Panagiotis D. , Tzachanis, Dimitrios , Uchida, Naoyuki , Ustun, Celalettin, Uy, Geoffrey L., Ferreiras, David Valcarcel, Weisdorf, Daniel J. , Wróbel, Tomasz , Yakoub‐Agha, Ibrahim , Yared, Jean A. , Yoon, Sung‐Soo , Yoshihara, Satoshi

Journal of Clinical Oncology | March 12, 2024 | Volume: 42 | Issue: 15 | Pages: 1766-1775

10.1200/jco.23.02474 Get It

PURPOSE Allogeneic hematopoietic cell transplantation (HCT) improves outcomes for patients with AML harboring an internal tandem duplication mutation of FLT3 ( FLT3-ITD) AML. These patients are routinely treated with a FLT3 inhibitor after HCT, but there is limited evidence to support this. Accordingly, we conducted a randomized trial of post-HCT maintenance with the FLT3 inhibitor gilteritinib (ClinicalTrials.gov identifier: NCT02997202 ) to determine if all such patients benefit or if detection of measurable residual disease (MRD) could identify those who might benefit. METHODS Adults with FLT3-ITD AML in first remission underwent HCT and were randomly assigned to placebo or 120 mg once daily gilteritinib for 24 months after HCT. The primary end point was relapse-free survival (RFS). Secondary end points included overall survival (OS) and the effect of MRD pre- and post-HCT on RFS and OS. RESULTS Three hundred fifty-six participants were randomly assigned post-HCT to receive gilteritinib or placebo. Although RFS was higher in the gilteritinib arm, the difference was not statistically significant (hazard ratio [HR], 0.679 [95% CI, 0.459 to 1.005]; two-sided P = .0518). However, 50.5% of participants had MRD detectable pre- or post-HCT, and, in a prespecified subgroup analysis, gilteritinib was beneficial in this population (HR, 0.515 [95% CI, 0.316 to 0.838]; P = .0065). Those without detectable MRD showed no benefit (HR, 1.213 [95% CI, 0.616 to 2.387]; P = .575). CONCLUSION Although the overall improvement in RFS was not statistically significant, RFS was higher for participants with detectable FLT3-ITD MRD pre- or post-HCT who received gilteritinib treatment. To our knowledge, these data are among the first to support the effectiveness of MRD-based post-HCT therapy.
Maintenance Use Is More Important Than the Choice of Bortezomib-Based Triplet Induction in Newly Diagnosed Multiple Myeloma Patients Undergoing Upfront Autologous Stem Cell Transplantation
Kumar, Shaji , Fraser, Raphael , Estrada‐Merly, Noel, Norkin, Maxim , Qazilbash, Muzaffar H. , Shah, Nina , Sidana, Surbhi , Giralt, Sergio , D’Souza, Anita

Blood | February 8, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 36-37

10.1182/blood-2020-139017 Get It

Introduction: VRD (bortezomib, lenalidomide, dexamethasone) and VCD (bortezomib, cyclophosphamide, dexamethasone) are the two most commonly used triplet induction regimens in transplant eligible patients with multiple myeloma (MM). VCD is commonly used in patients with renal dysfunction at diagnosis. Given the variable results seen in head to head comparison of these (or similar) regimens to date, no definitive conclusion can be made on whether they are equivalent. This large CIBMTR registry study compares the outcomes with VRD vs. VCD induction therapy in patients undergoing upfront autologous stem cell transplant (ASCT). Methods: Patients were included if they underwent upfront ASCT for MM from January 2013 to December 2018 within 6 months of diagnosis, received VRD or VCD induction therapy and achieved at least a partial response pre-transplant. Of 1,135 patients, 914 patients received VRD and 221 received VCD therapy. Cox proportional hazards models were created for progression-free survival (PFS) and overall survival (OS). The following covariates were adjusted in the models: induction regimen (main effect), age, sex, race, performance score, hematopoietic cell transplant-comorbidity index (HCT-CI), estimated glomerular filtration rate (eGFR) at diagnosis, immunoglobulin subtype, cytogenetics, ISS stage, response status at transplant, melphalan dose, and maintenance therapy. Results: As shown in Table 1, patients in the VRD and VCD cohorts had similar age at transplant, adjusted HCT-CI scores, and distribution of high-risk cytogenetics. Patients in the VCD group were more likely to have renal impairment and ISS stage III disease. An eGFR (mL/min/1.73m2) at diagnosis < 60 was seen in 26% of VRD patients vs. 48% of VCD patients. ISS stage III was seen in 17% vs. 34% of patients, respectively. Treatment and Response: Pre-transplant response in the VRD cohort was: complete response (CR)- 17%, very good partial response (VGPR)- 48% and partial response (PR)- 35%. Response in the VCD cohort was: CR- 17%, VGPR- 42% and PR- 41%. Conditioning dose was melphalan 200 mg/m2 in 80% of patients receiving VRD vs. 69% in the VCD group. Post-transplant response was at least VGPR in 74% vs. 75% of patients, respectively. Maintenance in the VRD group was: lenalidomide based (+/- bortezomib)- 80%, bortezomib based- 5%, other-3% and none- 12% of patients. In the VCD group, maintenance was: lenalidomide based- 63%, bortezomib based- 11%, other- 1% and none- 24%. Survival: Patients receiving VRD induction had superior outcomes compared to VCD induction with median PFS from transplant of 44.6 (38.0-55.8) months vs 34.1 (25.8-44.7) months, p 0.004 respectively. Median OS was not reached for either group, with 5-year OS 79 (74-83)% for VRD and 60 (50-69)% for VCD, p <0.001. Univariate PFS and OS outcomes by induction regimen and eGFR at diagnosis are shown in Table 2 and Figure 1. Multivariate analysis is shown in Table 3. After adjusting for prognostic factors, there was no statistically significant difference between the two induction regimens, with hazard ratio (HR) for PFS in the VCD vs VRD group being 1.22 (95% CI: 0.96-1.55, p=0.10). ISS stage, cytogenetics, disease status prior to transplant, and maintenance were independent prognostic factors for PFS. Similarly, on multivariate analysis for OS, there was no statistically significant difference in the two groups, with HR for OS in VCD vs VRD group being 1.33 (95% CI: 0.93-1.92, p=0.12). ISS stage, cytogenetics, disease status prior to transplant, and maintenance were independent prognostic factors for OS. Conclusions: In patients with MM undergoing upfront transplant after VRD or VCD induction, no difference in outcomes was seen based on the induction therapy received after adjusting for other prognostic factors. As several MM patients with renal dysfunction are started on VCD, it is reassuring to see that VCD was not associated with inferior PFS, likely due to the eventual transition to maintenance therapy in the majority due to subsequent improvement of renal function. The use of maintenance treatment was uniformly associated with superior outcomes. Disclosures Sidana: Janssen: Consultancy. Kumar:Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Kite Pharma: Consultancy, Research Funding; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Dr. Reddy's Laboratories: Honoraria; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Novartis: Research Funding; Sanofi: Research Funding; MedImmune: Research Funding; Karyopharm: Consultancy; BMS: Consultancy, Research Funding; Tenebio: Other, Research Funding; Genecentrix: Consultancy; Carsgen: Other, Research Funding; Cellectar: Other; Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy. Giralt:Johnson & Johnson: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Actinuum: Other: Advisory board, Research Funding; Amgen: Other: Advisory Board, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; OMEROS: Research Funding; SPECTRUM Pharma: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees, Research Funding; PFIZER: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jensenn: Membership on an entity's Board of Directors or advisory committees, Research Funding; TAKEDA: Membership on an entity's Board of Directors or advisory committees, Research Funding; MILTENYI: Research Funding; JAZZ Pharmaceutical: Membership on an entity's Board of Directors or advisory committees. Qazilbash:Janssen: Research Funding; Bioclinica: Consultancy; Amgen: Research Funding; Angiocrine: Research Funding; Bioline: Research Funding. Shah:GSK, Amgen, Indapta Therapeutics, Sanofi, BMS, CareDx, Kite, Karyopharm: Consultancy; BMS, Janssen, Bluebird Bio, Sutro Biopharma, Teneobio, Poseida, Nektar: Research Funding. D'Souza:Janssen: Consultancy; Akcea: Consultancy; Imbrium: Consultancy; Merck: Research Funding; Pfizer: Consultancy; Teneobio: Research Funding; Amgen: Research Funding.
Subsequent neoplasms and late mortality in children undergoing allogeneic transplantation for nonmalignant diseases
Brazauskas, Ruta , Tecca, Heather R. , Bo‐Subait, Stephanie, Buchbinder, David , Battiwala, Minoo, Phelan, Rachel , Broglie, Larisa , Abraham, Allistair , Keating, Amy K. , Daly, Andrew , Wirk, Baldeep , Alter, Blanche P. , Üstün, Celalettin , Freytes, César O. , Beitinjaneh, Amer , Duncan, Christine , Copelan, Edward A. , Hildebrandt, Gerhard , Murthy, Hemant S. , Auletta, Jeffery J. , Page, Kristin , Vrooman, Lynda M. , Norkin, Maxim , Byrne, Michael , Kamani, Naynesh , Rezvani, Andrew R. , Farhadfar, Nosha , Mehta, Parinda A. , Hematti, Peiman , Shaw, Peter J. , Kamble, Rammurti T., Schears, Raquel M. , Hayashi, Robert J. , Mayo, Samantha , Rotz, Seth J. , Badawy, Sherif M. , Ganguly, Siddhartha , Pavletic, Steven Z. , Prestidge, Tim , Inamoto, Yoshihiro , Shaw, Bronwen E. , Satwani, Prakash , Battiwalla, Minoo , Schears, Raquel, Murthy, Hemant S , Badawy, Sherif M , Broglie, Larisa A , Battiwalla, Minoo , Auletta, Jeffery J , Hematti, Peiman , Kahn, Justine M , Flowers, Mary E.D. , Savani, Bipin N. , George, Biju , Lazarus, Hillard M. , Myers, Kasiani , Williams, Kirsten M. , Díaz, Miguel Ángel , Bhatt, Neel S. , Olsson, Richard F. , Gale, Robert Peter , Chhabra, Saurabh , Nishihori, Taiga , Agrawal, Vaibhav , Hogan, William J.

Blood Advances | May 12, 2020 | Volume: 4 | Issue: 9 | Pages: 2084-2094

10.1182/bloodadvances.2019000839 Get It

Abstract We examined the risk of subsequent neoplasms (SNs) and late mortality in children and adolescents undergoing allogeneic hematopoietic cell transplantation (HCT) for nonmalignant diseases (NMDs). We included 6028 patients (median age, 6 years; interquartile range, 1-11; range, <1 to 20) from the Center for International Blood and Marrow Transplant Research (1995-2012) registry. Standardized mortality ratios (SMRs) in 2-year survivors and standardized incidence ratios (SIRs) were calculated to compare mortality and SN rates with expected rates in the general population. Median follow-up of survivors was 7.8 years. Diagnoses included severe aplastic anemia (SAA; 24%), Fanconi anemia (FA; 10%), other marrow failure (6%), hemoglobinopathy (15%), immunodeficiency (23%), and metabolic/leukodystrophy syndrome (22%). Ten-year survival was 93% (95% confidence interval [95% CI], 92% to 94%; SMR, 4.2; 95% CI, 3.7-4.8). Seventy-one patients developed SNs (1.2%). Incidence was highest in FA (5.5%), SAA (1.1%), and other marrow failure syndromes (1.7%); for other NMDs, incidence was <1%. Hematologic (27%), oropharyngeal (25%), and skin cancers (13%) were most common. Leukemia risk was highest in the first 5 years posttransplantation; oropharyngeal, skin, liver, and thyroid tumors primarily occurred after 5 years. Despite a low number of SNs, patients had an 11-fold increased SN risk (SIR, 11; 95% CI, 8.9-13.9) compared with the general population. We report excellent long-term survival and low SN incidence in an international cohort of children undergoing HCT for NMDs. The risk of SN development was highest in patients with FA and marrow failure syndromes, highlighting the need for long-term posttransplantation surveillance in this population.
Health related quality of life for multiple myeloma patients according to treatment strategy after autologous stem cell transplant: a cross-sectional study using EORTC, EQ-5D and MY-20 scales
Tay, Jason , Vij, Ravi , Norkin, Maxim , Kindwall‐Keller, Tamila L. , Roberts, Jenna , White, Darrell , Wood, Robert , Blanthorn-Hazell, Sophee , Rossi, Adriana , Dhanasiri, Sujith, Zafar, Faiza , Newhouse, Kim, McCurdy, Arleigh , Buadi, Francis K. , Rossi, Adriana , McCurdy, Arleigh

Leukemia & Lymphoma | October 31, 2018 | Volume: 60 | Issue: 5 | Pages: 1275-1282

10.1080/10428194.2018.1523399 Get It

Graft-versus-host disease in recipients of male unrelated donor compared with parous female sibling donor transplants
Kumar, Anita J. , Hemmer, Michael, Arora, Mukta , Pidala, Joseph A. , Couriel, Daniel R. , Aljurf, Mahmoud , Cahn, Jean‐Yves, Cairo, Mitchell S. , Farhan, Shatha , Hale, Gregory A., Hashmi, Shahrukh K. , Inamoto, Yoshihiro , Kamble, Rammurti T., Kharfan‐Dabaja, Mohamed A. , MacMillan, Margaret L. , Marks, David I. , Norkin, Maxim , Ringdén, Olle , Schouten, Harry C. , Solh, Melhem , Urbano-Ispizúa, Álvaro , Verdonck, Leo F. , Hamilton, Betty K. , Majhail, Navneet S. , Loren, Alison W. , Ringden, Olov , Majhail, Navneet S , Kim, Soyoung , Spellman, Stephen R. , Alousi, Amin Majid , Cahn, Jean‐Yves , Cutler, Corey S. , Gergis, Usama , Nakasone, Hideki , Qayed, Muna , Schultz, Kirk R. , Teshima, Takanori , Gale, Robert Peter

Blood Advances | May 8, 2018 | Volume: 2 | Issue: 9 | Pages: 1022-1031

10.1182/bloodadvances.2017013052 Get It

Key Points Compared with parous female sibling donors, male URDs confer more aGVHD in all patients and more cGVHD in females. There was no difference in survival, relapse, or transplant mortality between recipients of parous female sibling or male URD grafts.
On Bayesian methods of exploring qualitative interactions for targeted treatment
Chen, Wei , Ghosh, Debashis , Raghunathan, Trivellore E. , Norkin, Maxim , Sargent, Daniel J. , Bepler, Gerold , Sargent, Daniel J

Statistics in Medicine | June 26, 2012 | Volume: 31 | Issue: 28 | Pages: 3693-3707

10.1002/sim.5429 Get It

Providing personalized treatments designed to maximize benefits and minimizing harms is of tremendous current medical interest. One problem in this area is the evaluation of the interaction between the treatment and other predictor variables. Treatment effects in subgroups having the same direction but different magnitudes are called quantitative interactions, whereas those having opposite directions in subgroups are called qualitative interactions (QIs). Identifying QIs is challenging because they are rare and usually unknown among many potential biomarkers. Meanwhile, subgroup analysis reduces the power of hypothesis testing and multiple subgroup analyses inflate the type I error rate. We propose a new Bayesian approach to search for QI in a multiple regression setting with adaptive decision rules. We consider various regression models for the outcome. We illustrate this method in two examples of phase III clinical trials. The algorithm is straightforward and easy to implement using existing software packages. We provide a sample code in Appendix A. Copyright © 2012 John Wiley & Sons, Ltd.