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Flowers CR, Anantha RW, Leautaud V, Desai P, Donald CE, Hildebrandt MAT, Koff JL, Tamimi RM, Cozen W, Nze C, Melnick AM. Addressing Health Disparities in Hematologic Malignancies: from Genes to Outreach. Blood Cancer Discov 2025; 6:79-93. [PMID: 39898759 DOI: 10.1158/2643-3230.bcd-24-0153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 11/15/2024] [Accepted: 01/07/2025] [Indexed: 02/04/2025] Open
Abstract
SIGNIFICANCE This review underscores our shared responsibility to champion multidimensional strategies rooted in basic and translational science, community involvement, and societal responsiveness for a meaningful impact. Unifying themes include the need to enhance collaborative infrastructure to engage laboratory researchers, epidemiologists, data scientists, clinicians, patients, community leaders, and policymakers; patient-level support services; outreach, education, and navigation for patients at the community level; recruitment and retention of underrepresented groups in the healthcare and research workforce; and funding for these efforts.
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Affiliation(s)
- Christopher R Flowers
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rachel W Anantha
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Veronica Leautaud
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Pinkal Desai
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Chancellor E Donald
- Section of Hematology and Medical Oncology, Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana
| | - Michelle A T Hildebrandt
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jean L Koff
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Rulla M Tamimi
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Wendy Cozen
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, University of California Irvine, Irvine, California
| | - Chijioke Nze
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ari M Melnick
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medical College, New York, New York
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Marshalek JP, Epistola R, Tomassetti S. Real-world treatment outcomes from a retrospective cohort of patients with acute myeloid leukemia from an urban safety net hospital. J Oncol Pharm Pract 2025; 31:182-189. [PMID: 38321873 PMCID: PMC11898379 DOI: 10.1177/10781552231225398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 02/08/2024]
Abstract
IntroductionWhile continual advancements in acute myeloid leukemia have augmented response rates and survival, outcomes in clinical trials may not correlate with real-world practice as trials may underrepresent individuals with comorbidities, decreased performance status, and older age. Additionally, clinical trials may underrepresent certain ethnicities, and disparities based on ethnicity, socioeconomic status, and insurance have been demonstrated in acute myeloid leukemia.MethodsWe performed a retrospective chart review of adult patients with acute myeloid leukemia who were treated at Harbor-UCLA from 2014 to 2022 to examine patient characteristics, management patterns, and outcomes in a safety net hospital setting.ResultsThe median age was 56 years old (range 18-84). In regards to risk stratification, 22%, 33%, and 41% had favorable, intermediate, and adverse risk acute myeloid leukemia, respectively. The most common induction regimens included 7 + 3 (55%), azacitidine (10%), azacitidine + venetoclax (7%), and 7 + 3 + midostaurin (7%). The complete remission rate was 51%. Among patients who received intensive induction chemotherapy, 15% underwent re-induction with a second cycle, 51% received consolidation therapy, and 5% received maintenance therapy with a targeted agent. Overall, 12% of patients received allogeneic stem cell transplant. Median overall survival was 12.2 months, and 5-year overall survival was 18%.ConclusionsSuboptimal response rates and survival in this population may be related to low rates of re-induction and allogeneic transplant in addition to high rates of adverse cytogenetics, secondary acute myeloid leukemia, and supportive care only. Efforts to increase access to clinical trials, novel therapies, and transplants for diverse and underinsured populations are essential.
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Affiliation(s)
- Joseph P Marshalek
- Division of Hematology/Oncology, Department of Internal Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Raisa Epistola
- Division of Hematology/Oncology, Department of Internal Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sarah Tomassetti
- Division of Hematology/Oncology, Department of Internal Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
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Ravindra A, Loeffler B, Acharya L, Pyakuryal A, Bhatt VR, Dhakal P. Chemotherapy Trends in Acute Myeloid Leukemia: 2004 to 2020. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2025:S2152-2650(25)00076-X. [PMID: 40118701 DOI: 10.1016/j.clml.2025.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2025] [Revised: 02/24/2025] [Accepted: 02/27/2025] [Indexed: 03/23/2025]
Abstract
BACKGROUND Chemotherapy is crucial for treating acute myeloid leukemia (AML), as it improves survival and quality of life. However, prior studies have shown that many eligible patients in the United States do not receive chemotherapy due to demographic and socioeconomic disparities. PATIENTS AND METHODS We utilized the National Cancer Database to analyze chemotherapy utilization in 82,755 patients with AML from 2004 to 2020. We examined trends in 2 time periods, 2004 to 2010 and 2011 to 2019, with a separate analysis for 2020 to evaluate the impact of the COVID pandemic on chemotherapy use. RESULTS Among all patients with AML, 57.1% received multiagent chemotherapy, 20.5% received single-agent chemotherapy, and 22.4% received no chemotherapy. Chemotherapy use rose from 72.9% in 2004 to 81.3% in 2019, then slightly declined to 80.6% in 2020. The odds of receiving chemotherapy increased significantly in 2011 to 2019 compared to 2004 to 2010 based on age (P = .02), race (P < .01), and AML subtype (P = .03). Patients aged 18 to 40 consistently had higher chemotherapy utilization rates, with treatment odds rising across all age groups. While Black patients were less likely than White patients to receive chemotherapy from 2004 to 2010, their odds improved significantly in 2011 to 2019. Despite increased chemotherapy use across all AML subtypes, therapy-related AML consistently showed the lowest odds of treatment. Lower-income patients, those with more co-morbidities, and female patients had reduced chances of receiving chemotherapy, and these inequities remained largely consistent over time. CONCLUSION This large database study highlights improved but persistent disparities based on demographic and socioeconomic status, calling for innovative measures to expand chemotherapy use.
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Affiliation(s)
- Aditya Ravindra
- Division of Hematology, Oncology, Blood & Bone Marrow Transplantation, University of Iowa Health Care, Iowa City, IA.
| | - Bradley Loeffler
- Holden Comprehensive Cancer Center, University of Iowa Health Care, Iowa City, IA
| | - Luna Acharya
- Division of Hematology, Oncology, Blood & Bone Marrow Transplantation, University of Iowa Health Care, Iowa City, IA
| | | | - Vijaya Raj Bhatt
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE
| | - Prajwal Dhakal
- Division of Hematology, Oncology, Blood & Bone Marrow Transplantation, University of Iowa Health Care, Iowa City, IA; Holden Comprehensive Cancer Center, University of Iowa Health Care, Iowa City, IA
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Wang X, Gimotty PA, Matthews AH, Mamtani R, Luger SM, Hexner EO, Babushok DV, McCurdy SR, Frey NV, Bruno XJ, Gill S, Martin ME, Paralkar VR, Maillard I, Porter DL, Loren AW, Perl AE, Pratz KW, Getz KD, Lai C. Evolving racial/ethnic disparities in AML survival in the novel therapy era. Blood Adv 2025; 9:533-544. [PMID: 39888631 PMCID: PMC11821405 DOI: 10.1182/bloodadvances.2024014127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 11/04/2024] [Indexed: 02/01/2025] Open
Abstract
ABSTRACT Little is known about the impact of recent advances in acute myeloid leukemia (AML) treatment on racial/ethnic disparities in survival outcomes. We performed a retrospective cohort study of patients with newly diagnosed AML using data from a nationwide electronic health record-derived deidentified database. Patients were categorized based on their diagnosis date relative to venetoclax approval, as pre-novel therapy era (Pre era; 2014-2018; n = 2998) or post-novel therapy era (Post era; 2019-2022; n = 2098). Patients in the Post era were older and had more comorbidities than Pre era. Non-Hispanic Black (NHB) and Hispanic patients were younger and more likely to have lower socioeconomic status than non-Hispanic White (NHW) patients, with no differences in the distributions of key disease features. After accounting for age and comorbidity, overall survival (OS) was higher in patients in Post era than Pre era (adjusted hazard ratio [aHR], 0.90; 95% confidence interval [CI], 0.83-0.96). In Pre era, NHB had a 22% higher hazard of death than NHW (aHR, 1.22; 95% CI, 1.04-1.43), whereas worse OS was not observed for NHB in Post era (aHR, 0.86; 95% CI, 0.69-1.08; predicted 2-year survival, 45.3% vs 39.9%). Utilization of novel therapeutics in frontline therapy did not differ by race/ethnicity. Among patients receiving venetoclax-based induction, particularly those without TP53, RAS, or FLT3-ITD mutations, results suggested higher OS for NHB than NHW patients (aHR, 0.67; 95% CI, 0.45-1.01). Additional studies are needed to elucidate factors contributing to these observed survival differences and to inform strategies to optimize outcomes for all patients with AML.
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Affiliation(s)
- Xin Wang
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Phyllis A. Gimotty
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Andrew H. Matthews
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ronac Mamtani
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Selina M. Luger
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Elizabeth O. Hexner
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Daria V. Babushok
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Shannon R. McCurdy
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Noelle V. Frey
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ximena Jordan Bruno
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Saar Gill
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mary Ellen Martin
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Vikram R. Paralkar
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ivan Maillard
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David L. Porter
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alison W. Loren
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alexander E. Perl
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Keith W. Pratz
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kelly D. Getz
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Catherine Lai
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
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Liu W, Yin H, Xie Z, Fang F, Chu J, Yang L, Huang L, Tu S, Cai H, Wu Z, Wei A, Liu C, Hong Y, Tian X, Cheng Y, Pan J, Wang N, Zhang K. FYB1-targeted modulation of CAPG promotes AML progression. Mol Cell Biochem 2025; 480:985-999. [PMID: 38700746 PMCID: PMC11836086 DOI: 10.1007/s11010-024-04992-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 03/17/2024] [Indexed: 02/19/2025]
Abstract
Acute myeloid leukemia (AML) is a rare and heterogeneous disease. Over the past few decades, patient prognosis has improved with continuous improvements in treatment, but outcomes for some patients with primary drug resistance or relapse after treatment remain poor. Additional therapies to improve outcomes for these patients are urgently needed. FYB1 expression differs substantially between AML tissues and normal tissues. High FYB1 expression is correlated with poorer overall survival (OS), indicating that FYB1 may regulate AML progression. Therefore, understanding the effect of FYB1 on AML could improve the success rate of therapeutic approaches and prognosis for patients with AML. In this study, through analysis of large databases and both in vivo and in vitro experiments, we assessed the expression and role of FYB1 in AML and the relationship of FYB with patient prognosis. Downstream targets of the FYB1 gene were analyzed by RNA-seq. Database mining and in vitro experiments were used to further clarify the effect of the downstream target gelsolin-like actin-capping protein (CAPG) on AML cells and its relationship with patient prognosis. FYB1 expression was significantly higher in AML tissue and corresponded with a poor prognosis. FYB1 knockdown inhibited AML cell proliferation, promoted cell apoptosis, reduced cell adhesion capability and significantly reduced the tumor formation rate in mice. In addition, FYB1 knockdown induced a notable decrease in CAPG expression. The suppression of CAPG significantly inhibited cell proliferation and increased cell apoptosis. The conclusions of this study underscore the pivotal role of the FYB1/CAPG axis in promoting AML. We propose that the FYB1/CAPG axis could serve as a new thread in the development of therapeutic strategies for AML.
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Affiliation(s)
- Wenyuan Liu
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Hongli Yin
- Institute of Pediatric Research, Children's Hospital of Soochow University, No. 92 Zhongnan Street, SIP, Suzhou City, 215003, China
| | - Zhiwei Xie
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Fang Fang
- Institute of Pediatric Research, Children's Hospital of Soochow University, No. 92 Zhongnan Street, SIP, Suzhou City, 215003, China
| | - Jinhua Chu
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Linhai Yang
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Lingling Huang
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Songji Tu
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Huaju Cai
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Zhengyu Wu
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Anbang Wei
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Chengzhu Liu
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Yi Hong
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Xiaotong Tian
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China
| | - Yan Cheng
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China.
| | - Jian Pan
- Institute of Pediatric Research, Children's Hospital of Soochow University, No. 92 Zhongnan Street, SIP, Suzhou City, 215003, China.
| | - Ningling Wang
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China.
| | - Kunlong Zhang
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei City, 230601, Anhui Province, China.
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Gomez-Arteaga A, Chokr N, Auletta JJ. Precision medicine results from equitable representation. Bone Marrow Transplant 2025; 60:122-127. [PMID: 39433911 DOI: 10.1038/s41409-024-02430-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 09/21/2024] [Accepted: 09/26/2024] [Indexed: 10/23/2024]
Abstract
In this special issue of Bone Marrow Transplantation, investigators report the impact of IDH1 [1], IDH2 [2], and FLT3-TKD [3] measurable residual disease (MRD) pre-hematopoietic cell transplantation (HCT) in predicting relapse of acute myeloid leukemia (AML) in adults receiving allogeneic HCT. The patient population for these retrospective cohorts, reflecting clinical transplant practice patterns and research biobank participation, was 84-86% non-Hispanic White (NHW) in each study. In this commentary, we explore the implications of racial and ethnic disparities in access to both HCT and HCT-related research and propose strategies to promote representation in precision medicine, given the emerging impact of the field on HCT outcomes.
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Affiliation(s)
- Alexandra Gomez-Arteaga
- Department of Medicine, Division of Hematology/Oncology, Weill Cornell Medicine/NewYork Presbyterian Hospital, New York, NY, USA.
| | - Nora Chokr
- Department of Medicine, Division of Hematology/Oncology, Weill Cornell Medicine/NewYork Presbyterian Hospital, New York, NY, USA
| | - Jeffery J Auletta
- NMDP, Minneapolis, MN, USA
- Hematology/Oncology/Blood and Marrow Transplant and Infectious Diseases, Nationwide Children's Hospital, Columbus, OH, USA
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7
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Kamel J, Yan J, Rockwell B, Goldfinger M, Feldman EJ, Konopleva MY, Mantzaris I, Shastri A, Kornblum N, Gritsman K, Sica A, Shah N, Cooper D, Verma A, Goel S. Inter-racial genetic differences in myelofibrosis: a diverse inner-city center analysis. Leuk Lymphoma 2025; 66:329-332. [PMID: 39432864 DOI: 10.1080/10428194.2024.2414121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 09/10/2024] [Accepted: 10/02/2024] [Indexed: 10/23/2024]
Affiliation(s)
- Josette Kamel
- Department of Internal Medicine, Montefiore Medical Center, The Bronx, NY, USA
| | - John Yan
- Department of Internal Medicine, Montefiore Medical Center, The Bronx, NY, USA
| | - Bradley Rockwell
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Mendel Goldfinger
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Eric J Feldman
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Marina Y Konopleva
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Ioannis Mantzaris
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Aditi Shastri
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Noah Kornblum
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Kira Gritsman
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Alejandro Sica
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Nishi Shah
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Dennis Cooper
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Amit Verma
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
| | - Swati Goel
- Department of Hematology/Oncology, Montefiore Medical Center, The Bronx, NY, USA
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8
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Hamad N. How I approach intersectionality in hematopoietic stem cell transplantation. Blood 2024; 144:2482-2489. [PMID: 39158069 DOI: 10.1182/blood.2023020778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 07/03/2024] [Accepted: 07/31/2024] [Indexed: 08/20/2024] Open
Abstract
ABSTRACT In the context of health care, intersectionality refers to a framework that focuses on the ways in which multiple axes of social inequality intersect and compound at the macro and micro levels to produce a broad range of unequal health outcomes. With the aid of tools such as the wheel of power and privilege, this framework can help identify systemic biases hidden in plain sight in the routine diagnostic, therapeutic, and prognostic paradigms used in clinical practice. Hematopoietic stem cell transplantation is a high-cost, highly specialized complex procedure that exemplifies the impact of intersectional identities and systemic biases in health care systems, clinical research, and clinical practice. Examples include the derivation of clinical algorithms for prognosis and risk assessments from data with limited representation of diverse populations in our communities. Transplant clinicians and teams are uniquely positioned to appreciate the concept of intersectionality and to apply it in clinical practice to redress inequities in outcomes in patients with marginalizing social determinants of health. An intersectional approach is the most efficient way to deliver effective and compassionate care for all.
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Affiliation(s)
- Nada Hamad
- Department of Haematology, St. Vincent's Hospital Sydney, Darlinghurst, NSW, Australia
- St. Vincent's Clincial School, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- St. Vincent's Clinical School, School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia
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9
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Versluis J, Metzner M, Wang A, Gradowska P, Thomas A, Jakobsen NA, Kennedy A, Moore R, Boertjes E, Vonk CM, Kavelaars FG, Rijken M, Gilkes A, Schwab C, Beverloo HB, Manz M, Visser O, Van Elssen CH, de Weerdt O, Tick LW, Biemond BJ, Vekemans MC, Freeman SD, Harrison CJ, Cook JA, Dennis M, Knapper S, Thomas I, Craddock C, Ossenkoppele GJ, Löwenberg B, Russell N, Valk PJ, Vyas P. Risk Stratification in Older Intensively Treated Patients With AML. J Clin Oncol 2024; 42:4084-4094. [PMID: 39231389 PMCID: PMC11608593 DOI: 10.1200/jco.23.02631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 05/17/2024] [Accepted: 07/09/2024] [Indexed: 09/06/2024] Open
Abstract
PURPOSE AML is a genetically heterogeneous disease, particularly in older patients. In patients older than 60 years, survival rates are variable after the most important curative approach, intensive chemotherapy followed by allogeneic hematopoietic cell transplantation (allo-HCT). Thus, there is an urgent need in clinical practice for a prognostic model to identify older patients with AML who benefit from curative treatment. METHODS We studied 1,910 intensively treated patients older than 60 years with AML and high-risk myelodysplastic syndrome (HR-MDS) from two cohorts (NCRI-AML18 and HOVON-SAKK). The median patient age was 67 years. Using a random survival forest, clinical, molecular, and cytogenetic variables were evaluated in an AML development cohort (n = 1,204) for association with overall survival (OS). Relative weights of selected variables determined the prognostic model, which was validated in AML (n = 491) and HR-MDS cohorts (n = 215). RESULTS The complete cohort had a high frequency of poor-risk features, including 2022 European LeukemiaNet adverse-risk (57.3%), mutated TP53 (14.4%), and myelodysplasia-related genetic features (65.1%). Nine variables were used to construct four groups with highly distinct 4-year OS in the (1) AML development, (2) AML validation, and (3) HR-MDS test cohorts ([1] favorable: 54% ± 4%, intermediate: 38% ± 2%, poor: 21% ± 2%, very poor: 4% ± 1%; [2] 54% ± 9%, 43% ± 4%, 27% ± 4%, 4% ± 3%; and [3] 54% ± 10%, 33% ± 6%, 14% ± 5%, 0% ± 3%, respectively). This new AML60+ classification improves current prognostic classifications. Importantly, patients within the AML60+ intermediate- and very poor-risk group significantly benefited from allo-HCT, whereas the poor-risk patients showed an indication, albeit nonsignificant, for improved outcome after allo-HCT. CONCLUSION The new AML60+ classification provides prognostic information for intensively treated patients 60 years and older with AML and HR-MDS and identifies patients who benefit from intensive chemotherapy and allo-HCT.
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Affiliation(s)
- Jurjen Versluis
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Marlen Metzner
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Ariel Wang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Patrycja Gradowska
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
- HOVON Foundation, Rotterdam, the Netherlands
| | - Abin Thomas
- Centre for Trials Research, College of Biomedical & Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Niels Asger Jakobsen
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Alison Kennedy
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Rachel Moore
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Emma Boertjes
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Christian M. Vonk
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Francois G. Kavelaars
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Melissa Rijken
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Amanda Gilkes
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Claire Schwab
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - H. Berna Beverloo
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Markus Manz
- Department of Hematology, University Hospital Zurich, Zurich, Switzerland
| | - Otto Visser
- Department of Hematology, Isala Hospital, Zwolle, the Netherlands
| | | | | | | | - Bart J. Biemond
- Amsterdam UMC, Location AMC, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | | | - Sylvie D. Freeman
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Christine J. Harrison
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jonathan A. Cook
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Mike Dennis
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Steven Knapper
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Ian Thomas
- Centre for Trials Research, College of Biomedical & Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Charles Craddock
- Warwick Clinical Trials Unit, University of Warwick, Warwick, United Kingdom
| | - Gert J. Ossenkoppele
- Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Bob Löwenberg
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Nigel Russell
- Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Peter J.M. Valk
- Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Paresh Vyas
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Department of Haematology, Oxford University Hospitals NHS Trust and Oxford Biomedical Centre, Oxford, United Kingdom
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10
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Stiff A, Fornerod M, Kain BN, Nicolet D, Kelly BJ, Miller KE, Mrózek K, Boateng I, Bollas A, Garfinkle EAR, Momoh O, Fasola FA, Olawumi HO, Mencia-Trinchant N, Kloppers JF, van Marle AC, Hu E, Wijeratne S, Wheeler G, Walker CJ, Buss J, Heyrosa A, Desai H, Laganson A, Hamp E, Abu-Shihab Y, Abaza H, Kronen P, Sen S, Johnstone ME, Quinn K, Wronowski B, Hertlein E, Miles LA, Mims AS, Oakes CC, Blachly JS, Larkin KT, Mundy-Bosse B, Carroll AJ, Powell BL, Kolitz JE, Stone RM, Duarte C, Abbott D, Amaya ML, Jordan CT, Uy GL, Stock W, Archer KJ, Paskett ED, Guzman ML, Levine RL, Menghrajani K, Chakravarty D, Berger MF, Bottomly D, McWeeney SK, Tyner JW, Byrd JC, Salomonis N, Grimes HL, Mardis ER, Eisfeld AK. Multiomic profiling identifies predictors of survival in African American patients with acute myeloid leukemia. Nat Genet 2024; 56:2434-2446. [PMID: 39367245 PMCID: PMC11549055 DOI: 10.1038/s41588-024-01929-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 08/23/2024] [Indexed: 10/06/2024]
Abstract
Genomic profiles and prognostic biomarkers in patients with acute myeloid leukemia (AML) from ancestry-diverse populations are underexplored. We analyzed the exomes and transcriptomes of 100 patients with AML with genomically confirmed African ancestry (Black; Alliance) and compared their somatic mutation frequencies with those of 323 self-reported white patients with AML, 55% of whom had genomically confirmed European ancestry (white; BeatAML). Here we find that 73% of 162 gene mutations recurrent in Black patients, including a hitherto unreported PHIP alteration detected in 7% of patients, were found in one white patient or not detected. Black patients with myelodysplasia-related AML were younger than white patients suggesting intrinsic and/or extrinsic dysplasia-causing stressors. On multivariable analyses of Black patients, NPM1 and NRAS mutations were associated with inferior disease-free and IDH1 and IDH2 mutations with reduced overall survival. Inflammatory profiles, cell type distributions and transcriptional profiles differed between Black and white patients with NPM1 mutations. Incorporation of ancestry-specific risk markers into the 2022 European LeukemiaNet genetic risk stratification changed risk group assignment for one-third of Black patients and improved their outcome prediction.
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Affiliation(s)
- Andrew Stiff
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Maarten Fornerod
- Department of Cell Biology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Bailee N Kain
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Benjamin J Kelly
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Katherine E Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Isaiah Boateng
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Audrey Bollas
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Elizabeth A R Garfinkle
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Omolegho Momoh
- Department of Internal Medicine, Montefiore Health System/Albert Einstein College of Medicine, New York, NY, USA
| | - Foluke A Fasola
- Department of Hematology, Faculty of Basic Medical Science, University of Ibadan, University College Hospital, Ibadan, Nigeria
| | - Hannah O Olawumi
- Department of Haematology, University of Ilorin, Ilorin, Nigeria
| | - Nuria Mencia-Trinchant
- Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jean F Kloppers
- School of Pathology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa
- National Health Laboratory Service, Universitas Academic Business Unit, Bloemfontein, South Africa
| | - Anne-Cecilia van Marle
- School of Pathology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa
- National Health Laboratory Service, Universitas Academic Business Unit, Bloemfontein, South Africa
| | - Eileen Hu
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Department of Internal Medicine, University of Texas Southwestern, Dallas, TX, USA
| | - Saranga Wijeratne
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Gregory Wheeler
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | | | - Jill Buss
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adrienne Heyrosa
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Helee Desai
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Andrea Laganson
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Ethan Hamp
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Yazan Abu-Shihab
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Hasan Abaza
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Parker Kronen
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sidharth Sen
- Divison of Biomedical Informatics, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Megan E Johnstone
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Kate Quinn
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Ben Wronowski
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Erin Hertlein
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Linde A Miles
- Cancer and Blood Diseases Institute, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Alice S Mims
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Christopher C Oakes
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Karilyn T Larkin
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Bethany Mundy-Bosse
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Bayard L Powell
- Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Richard M Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Cassandra Duarte
- University of Colorado, Anschutz Medical Campus, College of Medicine, Denver, CO, USA
| | - Diana Abbott
- University of Colorado, Anschutz Medical Campus, College of Medicine, Denver, CO, USA
| | - Maria L Amaya
- University of Colorado, Anschutz Medical Campus, College of Medicine, Denver, CO, USA
| | - Craig T Jordan
- University of Colorado, Anschutz Medical Campus, College of Medicine, Denver, CO, USA
| | - Geoffrey L Uy
- Washington University School of Medicine, Saint Louis, MO, USA
| | - Wendy Stock
- University of Chicago, College of Medicine, Chicago, IL, USA
| | - Kellie J Archer
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Electra D Paskett
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Monica L Guzman
- Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Sandra and Edward Meyer Cancer Center, New York, NY, USA
| | - Ross L Levine
- Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Daniel Bottomly
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Shannon K McWeeney
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - John C Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Nathan Salomonis
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - H Leighton Grimes
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Elaine R Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA.
| | - Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
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11
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Liu H, Stanworth SJ, McPhail S, Bishton M, Rous B, Bacon A, Coats T. Impact of patient demographics on treatment outcomes in AML: a population-based registry in England, 2013-2020. Blood Adv 2024; 8:4593-4605. [PMID: 39024544 PMCID: PMC11401315 DOI: 10.1182/bloodadvances.2024013102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/17/2024] [Accepted: 07/05/2024] [Indexed: 07/20/2024] Open
Abstract
ABSTRACT We report 1- and 5-year survival after acute myeloid leukemia (AML) diagnosis and early mortality within 30 days of systemic anticancer therapy (SACT) treatments, using national cancer registry data in England. Patients aged 18 to 99 years diagnosed between 2013 and 2020 were included. Overall survival (OS) was calculated using Kaplan-Meier methodology, and adjusted hazard ratios (aHRs; adjusted for intensity of treatment, age at diagnosis, sex, ethnicity, socioeconomic deprivation, comorbidity, and year of diagnosis) using Cox proportional hazards regression. Odds of 30-day mortality (adjusted odds ratios [aORs], adjusted for aforementioned characteristics), along with performance status and body mass index, were calculated using logistic regression. Among 17 107 patients identified, older age and comorbidity were associated with worse survival. Asian and Black patients had better survival than White patients: 5-year OS of 34.6%, 29.7%, and 17.8%, respectively; aHR of 0.86; (95% confidence interval [CI], 0.77-0.96) Asian vs White, and 0.84 (95% CI, 0.73-0.96) Black vs White. Socioeconomic deprivation was associated with worse survival. Overall, 7906 (46.2%) patients were documented as having received SACT. Thirty-day mortality was lower for patients receiving intensive rather than nonintensive SACT. After adjustment for cofactors, the risk was higher in those treated intensively (aOR, 0.74; 95% CI, 0.60-0.92). We show that ethnicity and socioeconomic status affects outcomes in AML. Further work is needed to understand how these effects may differ in different health care settings, and whether this because of effects on disease biology, responsiveness to treatment, or drug toxicity. Selection of intensive vs nonintensive treatment should be based on individual patient factors, balancing improved long-term survival against higher early mortality.
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Affiliation(s)
- Hanhua Liu
- National Disease Registration Service, NHS England, London, United Kingdom
| | - Simon J. Stanworth
- NHS Blood and Transplant, Oxford, United Kingdom
- Oxford University Hospitals NHS Trust, John Radcliffe Hospital, Oxford, United Kingdom
- Radcliffe Department of Medicine, University of Oxford, NIHR Blood and Transplant Research Unit in Data Driven Transfusion Practice, Oxford, United Kingdom
| | - Sean McPhail
- National Disease Registration Service, NHS England, London, United Kingdom
| | - Mark Bishton
- Translational Medical Sciences, University of Nottingham, Nottingham, United Kingdom
- Department of Haematology, Nottingham City Hospital, Nottingham, United Kingdom
| | - Brian Rous
- National Disease Registration Service, NHS England, London, United Kingdom
| | - Andrew Bacon
- National Disease Registration Service, NHS England, London, United Kingdom
| | - Thomas Coats
- Department of Haematology, Royal Devon and Exeter Hospital, Exeter, United Kingdom
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12
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Pilleron S, Bastiaannet E. Epidemiology of Cancer in Older Adults: A Systematic Review. Curr Oncol Rep 2024; 26:1021-1046. [PMID: 38963522 DOI: 10.1007/s11912-024-01567-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2024] [Indexed: 07/05/2024]
Abstract
PURPOSE OF REVIEW What are the prevalence, incidence and mortality rates of cancer among individuals aged 60 or older on a national, regional, and global scale? What factors affect differences in cancer survival between older and younger adults? RECENT FINDINGS The epidemiological literature on cancer in older adults, particularly in low- and middle-income countries (LMICs) and that focusing on the oldest adults, is expanding. These studies consistently show increasing global cancer incidence rates in older populations. Recent research also highlights a widening survival gap between middle-aged and older adults, with the stage at diagnosis being the primary driver. More research is needed to describe the cancer burden in older adults, especially focusing on the oldest population and LMICs, to better understand global healthcare challenges. Additionally, further exploring patient-related, clinical, and tumour-related factors which drive age-related survival differences could improve cancer outcomes in older adults.
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Affiliation(s)
- Sophie Pilleron
- Ageing, Cancer, and Disparities Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B, Rue Thomas Edison, 1445, Strassen, Luxembourg.
| | - Esther Bastiaannet
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, CH-8001, Zurich, Switzerland
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13
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Teachey D, Newman H, Lee S, Pölönen P, Shraim R, Li Y, Liu H, Aplenc R, Bandyopadhyay S, Chen C, Chen Z, Devidas M, Diorio C, Dunsmore K, Elghawy O, Elhachimi A, Fuller T, Gupta S, Hall J, Hughes A, Hunger S, Loh M, Martinez Z, McCoy M, Mullen C, Pounds S, Raetz E, Ryan T, Seffernick A, Shi G, Sussman J, Tan K, Uppuluri L, Vincent TL, Wang'ondu R, Winestone L, Winter S, Wood B, Wu G, Xu J, Yang W, Mullighan C, Yang J, Bona K. Impact of Genetic Ancestry on T-cell Acute Lymphoblastic Leukemia Outcomes. RESEARCH SQUARE 2024:rs.3.rs-4858231. [PMID: 39184069 PMCID: PMC11343283 DOI: 10.21203/rs.3.rs-4858231/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
The influence of genetic ancestry on biology, survival outcomes, and risk stratification in T-cell Acute Lymphoblastic Leukemia (T-ALL) has not been explored. Genetic ancestry was genomically-derived from DNA-based single nucleotide polymorphisms in children and young adults with T-ALL treated on Children's Oncology Group trial AALL0434. We determined associations of genetic ancestry, leukemia genomics and survival outcomes; co-primary outcomes were genomic subtype, pathway alteration, overall survival (OS), and event-free survival (EFS). Among 1309 patients, T-ALL molecular subtypes varied significantly by genetic ancestry, including increased frequency of genomically defined ETP-like, MLLT10, and BCL11B-activated subtypes in patients of African ancestry. In multivariable Cox models adjusting for high-risk subtype and pathways, patients of Admixed American ancestry had superior 5-year EFS/OS compared with European; EFS/OS for patients of African and European ancestry were similar. The prognostic value of five commonly altered T-ALL genes varied by ancestry - including NOTCH1 , which was associated with superior OS for patients of European and Admixed American ancestry but non-prognostic among patients of African ancestry. Furthermore, a published five-gene risk classifier accurately risk stratified patients of European ancestry, but misclassified patients of African ancestry. We developed a penalized Cox model which successfully risk stratified patients across ancestries. Overall, 80% of patients had a genomic alteration in at least one gene with differential prognostic impact by genetic ancestry. T-ALL genomics and prognostic associations of genomic alterations vary by genetic ancestry. These data demonstrate the importance of incorporating genetic ancestry into analyses of tumor biology for risk classification algorithms.
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14
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Rojek AE, McCormick BJ, Cwykiel J, Odetola O, Abaza Y, Nai N, Foucar CE, Achar RK, Shallis RM, Bradshaw D, Standridge M, Kota V, Murthy GSG, Badar T, Patel AA. Real-world outcomes of intensive induction approaches in core binding factor acute myeloid leukemia. EJHAEM 2024; 5:728-737. [PMID: 39157611 PMCID: PMC11327707 DOI: 10.1002/jha2.981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 06/08/2024] [Accepted: 07/08/2024] [Indexed: 08/20/2024]
Abstract
Core-binding factor acute myeloid leukemia (CBF-AML) is characterized by the presence of inv(16)/t(16;16) or t(8;21) and is classified as a favorable risk by the 2022 European LeukemiaNet (ELN) guidelines. The CD33-targeting antibody-drug conjugate, gemtuzumab ozogamicin (GO), is commonly added to intensive chemotherapy (IC) in CBF-AML. We sought to compare outcomes in patients treated with IC with or without GO in CBF-AML. We included 200 patients with CBF-AML treated with IC across seven academic centers. Induction treatment regimens were categorized as IC alone, IC with GO, or IC with KIT inhibitor (dasatinib or midostaurin). Median follow-up for the whole cohort was 2.5 years. Three-year overall survival (OS) was 70% and 3-year event-free survival (EFS) was 51%. Patients treated with IC with GO experienced a 3-year EFS of 50% compared to those treated with IC alone who experienced a 3-year EFS of 47%, with no statistically significant difference (p = 0.62). Similarly, those treated with IC with GO did not experience an improved OS compared to those treated with IC alone (p = 0.67). Patients treated with IC with KIT inhibitor experienced a significantly improved 3-year EFS of 85% compared to those with IC with or without GO (p = 0.04). We find in our study that there is no survival benefit in patients treated with IC with the addition of GO; improved EFS was seen in patients with CBF-AML treated with IC plus KIT inhibitors, consistent with outcomes noted in prospective studies utilizing this approach.
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Affiliation(s)
- Alexandra E. Rojek
- Department of MedicineSection of Hematology/OncologyUniversity of ChicagoChicagoIllinoisUSA
| | - Benjamin J. McCormick
- Division of Hematology‐OncologyBlood and Marrow Transplantation ProgramMayo ClinicJacksonvilleFloridaUSA
| | - Joanna Cwykiel
- Department of MedicineDivision of Hematology and OncologyRobert H. Lurie Comprehensive Cancer CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Oluwatobi Odetola
- Department of MedicineDivision of Hematology and OncologyRobert H. Lurie Comprehensive Cancer CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Yasmin Abaza
- Department of MedicineDivision of Hematology and OncologyRobert H. Lurie Comprehensive Cancer CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Nhi Nai
- Department of Internal MedicineUniversity of New Mexico School of MedicineAlbuquerqueNew MexicoUSA
| | - Charles E. Foucar
- Department of Internal MedicineDivision of Hematology and OncologyUniversity of New Mexico School of MedicineAlbuquerqueNew MexicoUSA
| | - Rohan K. Achar
- Department of Internal MedicineSection of HematologyYale School of MedicineYale UniversityNew HavenConnecticutUSA
| | - Rory M. Shallis
- Department of Internal MedicineSection of HematologyYale School of MedicineYale UniversityNew HavenConnecticutUSA
| | | | - Meaghan Standridge
- Department of Internal MedicineAugusta UniversityMedical College of GeorgiaAugustaGeorgiaUSA
| | - Vamsi Kota
- Georgia Cancer CenterAugusta UniversityAugustaGeorgiaUSA
| | | | - Talha Badar
- Division of Hematology‐OncologyBlood and Marrow Transplantation ProgramMayo ClinicJacksonvilleFloridaUSA
| | - Anand A. Patel
- Department of MedicineSection of Hematology/OncologyUniversity of ChicagoChicagoIllinoisUSA
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15
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Lu R, Tariman JD, Catamero D, Hillengass M, Noonan K. Diversity, Equity, and Inclusion in Multiple Myeloma: A Call to Action. J Adv Pract Oncol 2024; 15:1-14. [PMID: 39802537 PMCID: PMC11715502 DOI: 10.6004/jadpro.2024.15.8.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2025] Open
Abstract
Background Although advancements in multiple myeloma therapy have rapidly evolved, pervasive racial and social inequities prevent uniform benefit across diverse patient populations. This affects access to US Food and Drug Administration-approved treatments and to clinical studies. The impact of health-care inequities is not well understood and thus, the development of effective strategies is inadequate. We identify different disparities including race, age, socioeconomic status, and sexual preference/orientation and their effect on patient care. We explore recommendations for the advanced practitioner to overcome underrepresentation and increase access in myeloma care. Method We performed a literature review using online databases including PubMed and CINAHL to identify different disparities, barriers to clinical studies, and recommendations to improve access. The following terms were used to identify the most relevant articles: myeloma, bias, diversity, racial disparity, inequity, socioeconomic factors, trial, elderly, sexual orientation, and sexual preference. Findings Racial and socioeconomic inequities largely affect the survival and quality of care available to underrepresented populations as well as elderly patients. Existing inequities negatively affect study enrollment leading to real world consequences. Structural, clinical, and attitudinal factors further compound the issue of equitable trial engagement. Current recommendations for the advanced practitioner include addressing systemic issues to increase understanding of inequities to mitigate socioeconomic factors that deter equitable access. Conclusion Understanding the issue of inequities is vital in ensuring myeloma patients are provided appropriate care. Recommendations are rooted in education and improving treatment access. Illuminating the issues of treatment disparities can remove barriers to ensure a more equitable future.
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Affiliation(s)
- Rebecca Lu
- From The University of Texas MD Anderson Cancer Center, Houston, Texas
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16
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Kim RB, Zhou E, Swinnerton KN, La J, Ma S, Ranjan M, Do NV, Brophy MT, Fillmore NR, Li A. Racial and Ethnic Disparity for Cancer Mortality in General and Single-Payer Healthcare Systems in the United States. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-02077-y. [PMID: 38955957 PMCID: PMC11693772 DOI: 10.1007/s40615-024-02077-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND It remains unclear what factors significantly drive racial disparity in cancer survival in the United States (US). We compared adjusted mortality outcomes in cancer patients from different racial and ethnic groups on a population level in the US and a single-payer healthcare system. PATIENTS AND METHODS We selected adult patients with incident solid and hematologic malignancies from the Surveillance, Epidemiology, and End Results (SEER) 2011-2020 and Veteran Affairs national healthcare system (VA) 2011-2021. We classified the self-reported NIH race and ethnicity into non-Hispanic White (NHW), non-Hispanic Black (NHB), non-Hispanic Asian Pacific Islander (API), and Hispanic. Cox regression models for hazard ratio of racial and ethnic groups were built after adjusting confounders in each cohort. RESULTS The study included 3,104,657 patients from SEER and 287,619 patients from VA. There were notable differences in baseline characteristics in the two cohorts. In SEER, adjusted HR for mortality was 1.12 (95% CI, 1.12-1.13), 1.03 (95% CI, 1.03-1.04), and 0.91 (95% CI, 0.90-0.92), for NHB, Hispanic, and API patients, respectively, vs. NHW. In VA, adjusted HR was 0.94 (95% CI, 0.92-0.95), 0.84 (95% CI, 0.82-0.87), and 0.96 (95% CI, 0.93-1.00) for NHB, Hispanic, and API, respectively, vs. NHW. Additional subgroup analyses by cancer types, age, and sex did not significantly change these associations. CONCLUSIONS Racial disparity continues to persist on a population level in the US especially for NHB vs. NHW patients, where the adjusted mortality was 12% higher in the general population but 6% lower in the single-payer VA system.
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Affiliation(s)
- Rock Bum Kim
- Section of Hematology-Oncology, Baylor College of Medicine, One Baylor Plaza, HoustonHouston, TX, 011DF77030, USA
| | - Emily Zhou
- McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kaitlin N Swinnerton
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA
| | - Jennifer La
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA
| | - Shengling Ma
- Section of Hematology-Oncology, Baylor College of Medicine, One Baylor Plaza, HoustonHouston, TX, 011DF77030, USA
| | - Mrinal Ranjan
- Section of Hematology-Oncology, Baylor College of Medicine, One Baylor Plaza, HoustonHouston, TX, 011DF77030, USA
| | - Nhan V Do
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Mary T Brophy
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Nathanael R Fillmore
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA
- Boston University School of Medicine, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ang Li
- Section of Hematology-Oncology, Baylor College of Medicine, One Baylor Plaza, HoustonHouston, TX, 011DF77030, USA.
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17
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Dong S, Premnath N, Sadeghi N, Kainthla R, Chung SS, Collins RH, Li HC, Madanat YF. Racial and ethnic disparities in Acute Myeloid Leukemia: 15-year experience at a safety net hospital system. Leuk Res 2024; 141:107503. [PMID: 38676993 DOI: 10.1016/j.leukres.2024.107503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/23/2024] [Accepted: 04/13/2024] [Indexed: 04/29/2024]
Abstract
Despite recent therapeutic advances, ethnic minorities in the U.S. continue to have disproportionately poor outcomes in many hematologic malignancies including AML. We identified 162 adult AML patients treated at a non-transplant safety net hospital from 2007 to 2022 and evaluated differences in disease characteristics, treatment and clinical outcomes based on race and ethnicity. Our cohort consisted of 82 (50.6%) Hispanic, 36 (22.2%) non-Hispanic black and 44 (27.2%) non-Hispanic white and Asian patients. Median age at diagnosis was 42.5, 49.0 and 52.5 years respectively (p=0.025). Hispanics had higher rates of intermediate and high-risk disease (p=0.699) and received high intensity induction and consolidation chemotherapy at lower rates (p=0.962), although differences did not reach statistical significance. Despite this, similar remission rates were achieved. Hispanics with high-risk disease had longer overall survival (OS) than the combined non-Hispanic cohort (mOS 14 m vs 7 m, p=0.030). Multivariate regression analysis showed that OS was negatively associated with age (HR 1.023, p=0.006), intermediate (HR 3.431, p=0.0003) and high-risk disease (HR 4.689, p<0.0001) and positively associated with Hispanic ethnicity (HR 0.614, p=0.026). This report suggests that contrary to other studies, Hispanics, particularly those with high-risk AML, may have improved OS compared to other ethnic groups. These results are unique to our safety net hospital setting where common barriers to medical care and healthcare disparities are largely mitigated.
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Affiliation(s)
- Sharlene Dong
- Division of Hematology and Oncology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Naveen Premnath
- Division of Hematology and Oncology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | | | | | - Stephen S Chung
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA
| | - Robert H Collins
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Yazan F Madanat
- Division of Hematology and Oncology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA.
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18
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Linet MS, Curtis RE, Schonfeld SJ, Vo JB, Morton LM, Dores GM. Survival of adult AML patients treated with chemotherapy in the U.S. population by age, race and ethnicity, sex, calendar-year period, and AML subgroup, 2001-2019. EClinicalMedicine 2024; 71:102549. [PMID: 38524920 PMCID: PMC10957373 DOI: 10.1016/j.eclinm.2024.102549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 03/26/2024] Open
Abstract
Background Population-based survival studies of adult acute myeloid leukemia (AML) have not simultaneously evaluated age at diagnosis, race and ethnicity, sex, calendar period or AML subtypes/subgroups among chemotherapy-treated patients. Methods For 28,473 chemotherapy-treated AML patients diagnosed at ages ≥20 years in population-based cancer registry areas of the Surveillance, Epidemiology, and End Results Program (2001-2018, followed through 2019), we evaluated 1-month through 5-year relative survival (RS) and 95% confidence intervals (95% CI) using the actuarial method in the SEER∗Stat Survival Session and overall survival (OS) using multivariable Cox regression to estimate proportional hazard ratios (HR) and 95% CI. Findings RS decreased with increasing age (20-39, 40-59, 60-74, 75-84, ≥85 years) at AML diagnosis. RS declined substantially within the first month and, except for acute promyelocytic leukemia, decreasing patterns continued thereafter for core binding factor AML, AML with antecedent condition/therapy, and all other AML. For all ages, acute promyelocytic leukemia RS stabilized after the first year. For total AML the hazard of death was significantly increased for non-Hispanic (NH)-Black (HR = 1.18, 95% CI = 1.12-1.24) and NH-Pacific Islander patients (HR = 1.31, 95% CI = 1.11-1.55) compared with NH-White patients. In contrast, NH-Asian and Hispanic patients had similar OS to NH-White patients across all ages and most AML subgroups. Males had significantly inferior survival to females with some exceptions. Compared to 2001-2006, in 2013-2018 OS improved for all age and AML subgroups. Interpretation Chemotherapy-treated U.S. adults with AML have notable differences in survival by age, race and ethnicity, sex, calendar-year period, and AML subgroup. Despite survival gains over time, our findings highlight the need for improving early outcomes across all AML subgroups, older ages, and Black and Pacific Islander patients and long-term outcomes among most treated groups. Funding Intramural Research Program of the U.S. National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics, and the U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology.
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Affiliation(s)
- Martha S. Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Rochelle E. Curtis
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Sara J. Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Jacqueline B. Vo
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Graça M. Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
- U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology, Silver Spring, MD, USA
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19
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Lamba JK, Marrero R, Wu H, Cao X, Parcha PK, Karol SE, Inaba H, Kuo DJ, Degar BA, Heym K, Taub JW, Lacayo NJ, Pui CH, Ribeiro RC, Pounds SB, Rubnitz JE. Pharmacogenomics, Race, and Treatment Outcome in Pediatric Acute Myeloid Leukemia. JAMA Netw Open 2024; 7:e2411726. [PMID: 38753328 PMCID: PMC11099689 DOI: 10.1001/jamanetworkopen.2024.11726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 03/15/2024] [Indexed: 05/19/2024] Open
Abstract
Importance Disparities in outcomes exist between Black and White patients with acute myeloid leukemia (AML), with Black patients experiencing poorer prognosis compared with their White counterparts. Objective To assess whether varying intensity of induction therapy to treat pediatric AML is associated with reduced disparities in treatment outcome by race. Design, Setting, and Participants A comparative effectiveness analysis was conducted of 86 Black and 359 White patients with newly diagnosed AML who were enrolled in the AML02 trial from 2002 to 2008 or the AML08 trial from 2008 to 2017. Statistical analysis was conducted from July 2023 through January 2024. Interventions Patients in AML02 were randomly assigned to receive standard low-dose cytarabine-based induction therapy or augmented high-dose cytarabine-based induction therapy, whereas patients in AML08 received high-dose cytarabine-based therapy. Main Outcomes and Measures Cytarabine pharmacogenomic 10-single-nucleotide variant (ACS10) scores were evaluated for association with outcome according to race and treatment arm. Results This analysis included 86 Black patients (mean [SD] age, 8.8 [6.5] years; 54 boys [62.8%]; mean [SD] leukocyte count, 52 600 [74 000] cells/µL) and 359 White patients (mean [SD] age, 9.1 [6.2] years; 189 boys [52.6%]; mean [SD] leukocyte count, 54 500 [91 800] cells/µL); 70 individuals with other or unknown racial and ethnic backgrounds were not included. Among all patients without core binding factor AML who received standard induction therapy, Black patients had significantly worse outcomes compared with White patients (5-year event-free survival rate, 25% [95% CI, 9%-67%] compared with 56% [95% CI, 46%-70%]; P = .03). By contrast, among all patients who received augmented induction therapy, there were no differences in outcome according to race (5-year event-free survival rate, Black patients, 50% [95% CI, 38%-67%]; White patients, 48% [95% CI, 42%-55%]; P = .78). Among patients who received standard induction therapy, those with low ACS10 scores had a significantly worse 5-year event-free survival rate compared with those with high scores (42.4% [95% CI, 25.6%-59.3%] and 70.0% [95% CI, 56.6%-83.1%]; P = .004); however, among patients who received augmented induction therapy, there were no differences in 5-year event-free survival rates according to ACS10 score (low score, 60.6% [95% CI, 50.9%-70.2%] and high score, 54.8% [95% CI, 47.1%-62.5%]; P = .43). Conclusions and Relevance In this comparative effectiveness study of pediatric patients with AML treated in 2 consecutive clinical trials, Black patients had worse outcomes compared with White patients after treatment with standard induction therapy, but this disparity was eliminated by treatment with augmented induction therapy. When accounting for ACS10 scores, no outcome disparities were seen between Black and White patients. Our results suggest that using pharmacogenomics parameters to tailor induction regimens for both Black and White patients may narrow the racial disparity gap in patients with AML.
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Affiliation(s)
- Jatinder K. Lamba
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville
- University of Florida Health Cancer Center, University of Florida, Gainesville
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville
| | - Richard Marrero
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville
| | - Huiyun Wu
- Department of Biostatistics, St Jude Children’s Research Hospital, Memphis, Tennessee
| | - Xueyuan Cao
- Department of Health Promotion and Disease Prevention, University of Tennessee Health Science Center, Memphis
| | - Phani Krishna Parcha
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville
| | - Seth E. Karol
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, Tennessee
| | - Hiroto Inaba
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, Tennessee
| | - Dennis John Kuo
- Division of Pediatric Hematology-Oncology, Rady Children’s Hospital San Diego/University of California, San Diego
| | - Barbara A. Degar
- Hematology/Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Hematology/Oncology, Boston Children’s Hospital, Boston, Massachusetts
| | - Kenneth Heym
- Hematology/Oncology, Cook Children’s Medical Center, Fort Worth, Texas
| | - Jeffrey W. Taub
- Hematology/Oncology, Children’s Hospital of Michigan, Detroit
| | - Norman J. Lacayo
- Hematology/Oncology, Lucile Packard Children’s Hospital, Palo Alto, California
- Hematology/Oncology, Stanford Cancer Institute, Palo Alto, California
| | - Ching-Hon Pui
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, Tennessee
| | - Raul C. Ribeiro
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, Tennessee
| | - Stanley B. Pounds
- Department of Biostatistics, St Jude Children’s Research Hospital, Memphis, Tennessee
| | - Jeffrey E. Rubnitz
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, Tennessee
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20
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Chen X, Shukla M, Saint Fleur-Lominy S. Disparity in hematological malignancies: From patients to health care professionals. Blood Rev 2024; 65:101169. [PMID: 38220565 DOI: 10.1016/j.blre.2024.101169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 01/16/2024]
Abstract
In the recent few decades, outcomes in patients diagnosed with hematological malignancies have been steadily improving. However, the improved prognosis does not distribute equally among patients from different backgrounds. Besides cancer biology, demographic and geographic disparities have been found to impact overall survival significantly. Specifically, patients from underrepresented minorities including Black and Hispanics, and those with uninsured status, having low socioeconomic status, or from rural areas have had worse outcomes historically, which is uniformly true across all major subtypes of hematological malignancies. Similar discrepancy is also seen in the health care professional field, where a gender gap and a disproportionally low representation of health care providers from underrepresented minorities have been long existing. Thus, a comprehensive strategy to mitigate disparity in the health care system is needed to achieve equity in health care.
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Affiliation(s)
- Xiaoyi Chen
- Department of Medicine, Division of Hematology and Medical Oncology, New York University, Grossman School of Medicine, NY, New York, USA.
| | - Mihir Shukla
- Department of Medicine, Division of Hematology and Medical Oncology, New York University, Grossman School of Medicine, NY, New York, USA.
| | - Shella Saint Fleur-Lominy
- Department of Medicine, Division of Hematology and Medical Oncology, New York University, Grossman School of Medicine, NY, New York, USA; Perlmutter Cancer Center, NYU Langone Health, NY, New York, USA.
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21
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Eisfeld AK. Disparities in acute myeloid leukemia treatments and outcomes. Curr Opin Hematol 2024; 31:58-63. [PMID: 38059809 DOI: 10.1097/moh.0000000000000797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
PURPOSE OF REVIEW This review aims to summarize different contributors to survival disparities in acute myeloid leukemia (AML) patients. The focus is set on African-American (hereafter referred to as Black) patients, with separate consideration of self-reported race and ancestry. It aims to also highlight the interconnectivity of the different features that impact on despair survival. RECENT FINDINGS The main themes in the literature covered in this article include the impact of social deprivation, clinical trial enrollment and biobanking, structural racism and ancestry-associated differences in genetic features on survival outcomes. SUMMARY An increasing number of studies have not only shown persistent survival disparities between Black and non-Hispanic White AML patients, but uncovered a multitude of contributors that have additive adverse effects on patient outcomes. In addition to potentially modifiable features, such as socioeconomic factors and trial enrollment odds that require urgent interventions, there is emerging data on differences in disease biology with respect to genetic ancestry, including frequencies of known AML-driver mutations and their associated prognostic impact.
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Affiliation(s)
- Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center
- Division of Hematology, Department of Internal Medicine
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University, Comprehensive Cancer Center, Columbus, Ohio, USA
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22
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Johnston H, Youshanlouei HR, Osei C, Patel AA, DuVall A, Wang P, Wanjari P, Segal J, Venkataraman G, Cheng JX, Gurbuxani S, Lager A, Fitzpatrick C, Thirman M, Nawas M, Liu H, Drazer M, Odenike O, Larson R, Stock W, Saygin C. Socioeconomic determinants of the biology and outcomes of acute lymphoblastic leukemia in adults. Blood Adv 2024; 8:164-171. [PMID: 38039510 PMCID: PMC10787242 DOI: 10.1182/bloodadvances.2023011862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 12/03/2023] Open
Abstract
ABSTRACT Various socioeconomic and biologic factors affect cancer health disparities and differences in health outcomes. To better characterize the socioeconomic vs biologic determinants of acute lymphoblastic leukemia (ALL) outcomes, we conducted a single-institution, retrospective analysis of adult patients with ALL treated at the University of Chicago (UChicago) from 2010 to 2022 and compared our outcomes with the US national data (the Surveillance, Epidemiology, and End Results [SEER] database). Among 221 adult patients with ALL treated at UChicago, BCR::ABL1 was more frequent in patients with higher body mass index (BMI; odds ratio [OR], 7.64; 95% confidence interval [CI], 1.17-49.9) and non-Hispanic Black (NHB) ancestry (59% vs 24% in non-Hispanic White (NHW) and 20% in Hispanic patients; P = .001). In a multivariable analysis, age (hazard ratio [HR], 6.93; 95% CI, 2.27-21.1) and higher BMI at diagnosis (HR, 10.3; 95% CI, 2.56-41.5) were independent predictors of poor overall survival (OS). In contrast, race or income were not predictors of OS in the UChicago cohort. Analysis of the national SEER database (2010-2020) demonstrated worse survival outcomes in Hispanic and NHB patients than in NHW patients among adolescent and young adults (AYAs) but not in older adults (aged >40 years). Both AYA and older adult patients with higher median household income had better OS than those with lower income. Therefore, multidisciplinary medical care coupled with essential supportive care services offered at centers experienced in ALL care may alleviate the socioeconomic disparities in ALL outcomes in the United States.
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Affiliation(s)
| | | | - Clinton Osei
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Anand A. Patel
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Adam DuVall
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Peng Wang
- Department of Pathology, University of Chicago, Chicago, IL
| | | | - Jeremy Segal
- Department of Pathology, University of Chicago, Chicago, IL
| | | | - Jason X. Cheng
- Department of Pathology, University of Chicago, Chicago, IL
| | | | - Angela Lager
- Department of Pathology, University of Chicago, Chicago, IL
| | | | - Michael Thirman
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Mariam Nawas
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Hongtao Liu
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Michael Drazer
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Olatoyosi Odenike
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Richard Larson
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Wendy Stock
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Caner Saygin
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
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23
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Eisfeld AK, Mardis ER. Acute Myeloid Leukemia Genomics: Impact on Care and Remaining Challenges. Clin Chem 2024; 70:4-12. [PMID: 38175584 DOI: 10.1093/clinchem/hvad171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 10/03/2023] [Indexed: 01/05/2024]
Affiliation(s)
- Ann-Kathrin Eisfeld
- Division of Hematology, The Ohio State University College of Medicine, Columbus, OH, United States
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, United States
| | - Elaine R Mardis
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, United States
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, United States
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24
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Ozga M, Nicolet D, Mrózek K, Yilmaz AS, Kohlschmidt J, Larkin KT, Blachly JS, Oakes CC, Buss J, Walker CJ, Orwick S, Jurinovic V, Rothenberg-Thurley M, Dufour A, Schneider S, Sauerland MC, Görlich D, Krug U, Berdel WE, Woermann BJ, Hiddemann W, Braess J, Subklewe M, Spiekermann K, Carroll AJ, Blum WG, Powell BL, Kolitz JE, Moore JO, Mayer RJ, Larson RA, Uy GL, Stock W, Metzeler KH, Grimes HL, Byrd JC, Salomonis N, Herold T, Mims AS, Eisfeld AK. Sex-associated differences in frequencies and prognostic impact of recurrent genetic alterations in adult acute myeloid leukemia (Alliance, AMLCG). Leukemia 2024; 38:45-57. [PMID: 38017103 PMCID: PMC10776397 DOI: 10.1038/s41375-023-02068-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 09/25/2023] [Accepted: 10/09/2023] [Indexed: 11/30/2023]
Abstract
Clinical outcome of patients with acute myeloid leukemia (AML) is associated with demographic and genetic features. Although the associations of acquired genetic alterations with patients' sex have been recently analyzed, their impact on outcome of female and male patients has not yet been comprehensively assessed. We performed mutational profiling, cytogenetic and outcome analyses in 1726 adults with AML (749 female and 977 male) treated on frontline Alliance for Clinical Trials in Oncology protocols. A validation cohort comprised 465 women and 489 men treated on frontline protocols of the German AML Cooperative Group. Compared with men, women more often had normal karyotype, FLT3-ITD, DNMT3A, NPM1 and WT1 mutations and less often complex karyotype, ASXL1, SRSF2, U2AF1, RUNX1, or KIT mutations. More women were in the 2022 European LeukemiaNet intermediate-risk group and more men in adverse-risk group. We found sex differences in co-occurring mutation patterns and prognostic impact of select genetic alterations. The mutation-associated splicing events and gene-expression profiles also differed between sexes. In patients aged <60 years, SF3B1 mutations were male-specific adverse outcome prognosticators. We conclude that sex differences in AML-associated genetic alterations and mutation-specific differential splicing events highlight the importance of patients' sex in analyses of AML biology and prognostication.
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Affiliation(s)
- Michael Ozga
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA.
| | - Ayse S Yilmaz
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Karilyn T Larkin
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Christopher C Oakes
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Jill Buss
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Christopher J Walker
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Shelley Orwick
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Vindi Jurinovic
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Maja Rothenberg-Thurley
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Annika Dufour
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Stephanie Schneider
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- Institute of Human Genetics, University Hospital, LMU Munich, Munich, Germany
| | | | - Dennis Görlich
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany
| | - Utz Krug
- Department of Medicine 3, Klinikum Leverkusen, Leverkusen, Germany
| | - Wolfgang E Berdel
- Department of Medicine, Hematology and Oncology, University of Münster, Münster, Germany
| | | | - Wolfgang Hiddemann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jan Braess
- Department of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany
| | - Marion Subklewe
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Karsten Spiekermann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Bayard L Powell
- Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Joseph O Moore
- Duke Cancer Institute, Duke University Health System, Durham, NC, USA
| | - Robert J Mayer
- Department of Medical Oncology, Dana-Farber/Partners CancerCare, Boston, MA, USA
| | | | - Geoffrey L Uy
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Wendy Stock
- University of Chicago Medical Center, Chicago, IL, USA
| | - Klaus H Metzeler
- Department of Hematology, Cellular Therapy, and Hemostaseology, Leipzig University Hospital, Leipzig, Germany
| | - H Leighton Grimes
- Division of Immunobiology, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
| | - John C Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Nathan Salomonis
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH, USA
| | - Tobias Herold
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Alice S Mims
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA.
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25
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Hantel A, Cernik C, Uno H, Walsh TP, Calip GS, DeAngelo DJ, Lathan CS, Abel GA. Sociodemographic associations with uptake of novel therapies for acute myeloid leukemia. Blood Cancer J 2023; 13:192. [PMID: 38123559 PMCID: PMC10733304 DOI: 10.1038/s41408-023-00964-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 11/28/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023] Open
Abstract
Inequitable uptake of novel therapies (NT) in non-cancer settings are known for patients with lower socioeconomic status (SES), People of Color (POC), and older adults. NT uptake equity in acute myeloid leukemia (AML) is not well known. We performed a retrospective cohort study (1/2014-8/2022) of the United States nationwide Flatiron HealthTM electronic health record-derived, de-identified database. We estimated sociodemographic associations with AML NT receipt using incidence rate ratios (IRR). Odds ratios (OR) assessed differences in venetoclax (the most common NT) receipt at community sites and between site characteristics and NT adoption. Of 8081 patients (139 sites), 3102 (38%) received a NT. NT use increased annually (IRR 1.14, 95% confidence interval [1.07, 1.22]). NT receipt was similar between Non-Hispanic-Whites and POC (IRR 1.03, [0.91, 1.17]) and as age increased (IRR 1.02 [0.97, 1.07]). At community sites, Non-Hispanic-Whites were less likely to receive venetoclax (OR 0.77 [0.66, 0.91]); older age (OR 1.05 [1.04, 1.05]) and higher area-level SES were associated with venetoclax receipt (OR 1.23 [1.05, 1.43]). Early NT adopting sites had more prescribing physicians (OR 1.25 [1.13, 1.43]) and higher SES strata patients (OR 2.81 [1.08, 7.66]). Inequities in AML NT uptake were seen by SES; for venetoclax, differential uptake reflects its label indication for older adults and those with comorbidities.
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Affiliation(s)
- Andrew Hantel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- HMS Center for Bioethics, Boston, MA, USA
| | - Colin Cernik
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Hajime Uno
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Thomas P Walsh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gregory S Calip
- Flatiron Health, New York, NY, USA
- University of Southern California, Los Angeles, CA, USA
| | - Daniel J DeAngelo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Christopher S Lathan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Gregory A Abel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- HMS Center for Bioethics, Boston, MA, USA.
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26
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Lesegretain A, Brunner A, Benzohra A, Fathi AT. Temporal trend in survival for chronic myelomonocytic leukemia in the US: a population-based study. Leuk Lymphoma 2023; 64:2156-2164. [PMID: 37715313 DOI: 10.1080/10428194.2023.2252123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 08/16/2023] [Accepted: 08/20/2023] [Indexed: 09/17/2023]
Abstract
Outcomes for chronic myelomonocytic leukemia (CMML) are insufficiently characterized at the population level. We analyzed epidemiological trends for patients between 2001 and 2017, focusing on age, sex, race, and long-term survivors. Using the Surveillance, Epidemiology, and End Results Program, we studied 3929 patients, in four time-period (tp) cohorts, based on year of diagnosis [2001-2004 (tp1); 2005-2009 (tp2); 2010-2013 (tp3); 2014-2017 (tp4)]. Stable incidence overall, male predominance, and higher incidence for White versus Black and 'Other' races were noted. Three-year relative survival (RS) increased from 27.9% to 36.9% between tp1 and tp4. The most pronounced increase occurred between tp1 and tp2. All subgroups generally experienced RS improvements over time, except notably Black patients. Improvements for patients aged 85+ (3-year RS 8.4-23.6% between tp1 and tp4) and increases in long-term survivors (5-year OS from 13.2-22.3%) were observed. Additional study is warranted to explore these associations, particularly for Black patients.
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Affiliation(s)
- Arnaud Lesegretain
- Harvard Medical School, Boston, MA, USA
- Daiichi Sankyo, Basking Ridge, NJ, USA
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27
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Brunner AM, Huggar D, Copher R, Zhou ZY, Zichlin ML, Anderson A, Downes N, McBride A. Economic burden during remission and after relapse among older patients with newly diagnosed acute myeloid leukemia without hematopoietic stem cell transplant: A retrospective study using the SEER-Medicare database. Leuk Res 2023; 132:107353. [PMID: 37562330 DOI: 10.1016/j.leukres.2023.107353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 06/13/2023] [Accepted: 07/08/2023] [Indexed: 08/12/2023]
Abstract
Acute myeloid leukemia (AML) is associated with a substantial clinical and economic burden. This study characterized the magnitude of this burden following initial treatment with standard or less intensive therapies (hypomethylating agents [HMAs]) and throughout different treatment phases post-remission. The Surveillance, Epidemiology, and End Results (SEER) cancer registry (2007-2016) linked with Medicare beneficiary claims (2007-2015) was analyzed. Patients were ≥ 65 years old with AML who initiated chemotherapy or HMAs and achieved remission. Outcomes included baseline characteristics, treatment patterns, clinical outcomes, healthcare resource utilization (HRU), and costs (2019 United States dollar). Economic impacts were stratified by treatment phase (initial treatment, early post-remission, late post-remission, and post-relapse). Early and late post-remission were defined as treatment initiated ≤ 60 days and > 60 days following initial treatment, respectively. A subgroup analysis of patients receiving only HMAs as initial treatment was also conducted. Overall, 530 patients were included (mean age: 74.1 years; 53.6 % male). In the overall analysis, 68.1 % of patients received post-remission treatment; 31.9% had no post-remission treatment. Mean monthly per patient healthcare costs by treatment phase were $45,747 (initial treatment), $30,248 (early post-remission), $23,173 (late post-remission), and $37,736 (post-relapse), driven predominantly by inpatient visits. The HMA subgroup analysis comprised 71 patients (mean age: 78.8 years; 50.7 % male); mean monthly per patient healthcare costs were highest post-relapse. The economic burden of AML among older patients is substantial across all treatment phases. AML treatments that induce and prolong remission may reduce HRU and the economic burden of disease.
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28
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Rebechi M, Kohlschmidt J, Mrózek K, Nicolet D, Mims AS, Blachly JS, Orwick S, Larkin KT, Oakes CC, Hantel A, Carroll AJ, Blum WG, Powell BL, Uy GL, Stone RM, Larson RA, Byrd JC, Paskett ED, Plascak JJ, Eisfeld AK. Association of social deprivation with survival in younger adult patients with AML: an Alliance study. Blood Adv 2023; 7:4019-4023. [PMID: 37196637 PMCID: PMC10425796 DOI: 10.1182/bloodadvances.2022009325] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 11/29/2022] [Indexed: 05/19/2023] Open
Affiliation(s)
- Melanie Rebechi
- Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Jessica Kohlschmidt
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Krzysztof Mrózek
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Deedra Nicolet
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Alice S. Mims
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - James S. Blachly
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Shelley Orwick
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Karilyn T. Larkin
- Department of Internal Medicine, The Ohio State University, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Christopher C. Oakes
- Department of Internal Medicine, The Ohio State University, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Andrew Hantel
- Department of Medical Oncology, Dana-Farber/Partners CancerCare, Boston, MA
| | - Andrew J. Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL
| | - William G. Blum
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - Bayard L. Powell
- Department of Internal Medicine, Section on Hematology and Oncology, Comprehensive Cancer Center of Wake Forest Baptist Health, Winston-Salem, NC
| | - Geoffrey L. Uy
- Division of Oncology, Washington University School of Medicine, St. Louis, MO
| | - Richard M. Stone
- Department of Medical Oncology, Dana-Farber/Partners CancerCare, Boston, MA
| | | | - John C. Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH
| | - Electra D. Paskett
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Jesse J. Plascak
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Ann-Kathrin Eisfeld
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
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29
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Wong ZC, Dillon LW, Hourigan CS. Measurable residual disease in patients undergoing allogeneic transplant for acute myeloid leukemia. Best Pract Res Clin Haematol 2023; 36:101468. [PMID: 37353292 PMCID: PMC10291441 DOI: 10.1016/j.beha.2023.101468] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 04/11/2023] [Indexed: 06/25/2023]
Abstract
The most common indication for allogeneic hematopoietic cell transplant (alloHCT) is maintenance of remission after initial treatment for patients with acute myeloid leukemia (AML). Loss of remission, relapse, remains however the most frequent cause of alloHCT failure. There is strong evidence that detectable persistent disease burden ("measurable residual disease", MRD) in patients with AML in remission prior to alloHCT is associated with increased risk of post-transplant relapse. MRD status as a summative assessment of response to pre-transplant therapy may allow superior patient-personalized risk stratification compared with models solely incorporating pre-treatment variables. An optimal methodology for AML MRD detection has not yet been established, but molecular methods such as DNA-sequencing may have additional prognostic utility compared to current approaches. There is growing evidence that intervention on AML MRD positivity may improve post-transplant outcomes. New initiatives will generate actionable data on the clinical utility of AML MRD testing for patients undergoing alloHCT.
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Affiliation(s)
- Zoë C Wong
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Myeloid Malignancies Program, National Institutes of Health, Bethesda, MD, USA
| | - Laura W Dillon
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Myeloid Malignancies Program, National Institutes of Health, Bethesda, MD, USA
| | - Christopher S Hourigan
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Myeloid Malignancies Program, National Institutes of Health, Bethesda, MD, USA.
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30
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Auletta JJ, Kou J, Chen M, Bolon YT, Broglie L, Bupp C, Christianson D, Cusatis RN, Devine SM, Eapen M, Hamadani M, Hengen M, Lee SJ, Moskop A, Page KM, Pasquini MC, Perez WS, Phelan R, Riches ML, Rizzo JD, Saber W, Spellman SR, Stefanski HE, Steinert P, Tuschl E, Yusuf R, Zhang MJ, Shaw BE. Real-World Data Showing Trends and Outcomes by Race and Ethnicity in Allogeneic Hematopoietic Cell Transplantation: A Report from the Center for International Blood and Marrow Transplant Research. Transplant Cell Ther 2023; 29:346.e1-346.e10. [PMID: 36924931 PMCID: PMC10239334 DOI: 10.1016/j.jtct.2023.03.007] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 03/03/2023] [Indexed: 03/17/2023]
Abstract
The use of HLA-mismatched donors could enable more patients with ethnically diverse backgrounds to receive allogeneic hematopoietic cell transplantation (HCT) in the United States. However, real-world trends and outcomes following mismatched donor HCT for diverse patients remain largely undefined. We conducted this study to determine whether the use of mismatched donor platforms have increased the access to allogeneic HCT for ethnically diverse patients, particularly through the application of novel graft-versus-host disease (GVHD) prophylaxis regimens, and whether outcomes for diverse patients are comparable to those of non-Hispanic White patients. This observational cross-sectional study used real-world data from the Center for International Blood and Marrow Transplant Research (CIBMTR) registry. All patients receiving their first allogeneic HCT in the United States between 2009 and 2020 were included, with a focus on transplantations performed in 2020. Data from patients undergoing allogeneic HCT using bone marrow, peripheral blood, or cord blood from HLA-matched or mismatched related and unrelated donors were analyzed. Specifically, relative proportion of allogeneic HCT was generated as percentage of total for donor type and for patient age, disease indication, GVHD prophylaxis, and race and ethnicity. Causes of death were summarized using frequencies, and the Kaplan-Meier estimator was used for estimating overall survival. Compared to matched related donor and matched unrelated donor HCT, more ethnically diverse patients received mismatched unrelated donor, haploidentical donor, and cord blood HCT. Although matched unrelated donor remains the most common donor type, the use of haploidentical donors has increased significantly over the last 5 years. Paralleling this increase in haploidentical HCT is the increased use of post-transplantation cyclophosphamide (PTCy) as GVHD prophylaxis. Relative to previous transplantation eras, the most contemporary era is associated with the highest survival rates following allogeneic HCT irrespective of patient race and ethnicity. Nonetheless, disease relapse remains the primary cause of death for both adult and pediatric allogeneic HCT recipients by donor type and across all patient racial/ethnic groups. Ethnically diverse patients are undergoing allogeneic HCT at higher rates, largely through the use of alternative donor platforms incorporating PTCy. Maintaining access to potential life-saving allogeneic HCT using alternative donors and novel GVHD prophylaxis strategies and improving HCT outcomes, particularly disease relapse, remain urgent clinical needs.
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Affiliation(s)
- Jeffery J Auletta
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota; Hematology/Oncology/BMT and Infectious Diseases, Nationwide Children's Hospital, Columbus, Ohio.
| | - Jianqun Kou
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Min Chen
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Yung-Tsi Bolon
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Larisa Broglie
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; Division of Pediatric Hematology/Oncology/Blood and Marrow Transplant, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Caitrin Bupp
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Debra Christianson
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Rachel N Cusatis
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Steven M Devine
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Mary Eapen
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mehdi Hamadani
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; BMT & Cellular Therapy Program, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mary Hengen
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Stephanie J Lee
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; Fred Hutchinson Cancer Center, Seattle, Washington
| | - Amy Moskop
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; Division of Pediatric Hematology/Oncology/Blood and Marrow Transplant, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Kristin M Page
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; Division of Pediatric Hematology/Oncology/Blood and Marrow Transplant, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Marcelo C Pasquini
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Waleska S Perez
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Rachel Phelan
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; Division of Pediatric Hematology/Oncology/Blood and Marrow Transplant, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Marcie L Riches
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - J Douglas Rizzo
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Wael Saber
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Heather E Stefanski
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Patricia Steinert
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Eileen Tuschl
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Rafeek Yusuf
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Mei-Jie Zhang
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; Division of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Bronwen E Shaw
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
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31
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Mrózek K, Kohlschmidt J, Blachly JS, Nicolet D, Carroll AJ, Archer KJ, Mims AS, Larkin KT, Orwick S, Oakes CC, Kolitz JE, Powell BL, Blum WG, Marcucci G, Baer MR, Uy GL, Stock W, Byrd JC, Eisfeld AK. Outcome prediction by the 2022 European LeukemiaNet genetic-risk classification for adults with acute myeloid leukemia: an Alliance study. Leukemia 2023; 37:788-798. [PMID: 36823396 PMCID: PMC10079544 DOI: 10.1038/s41375-023-01846-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/03/2023] [Accepted: 02/08/2023] [Indexed: 02/25/2023]
Abstract
Recently, the European LeukemiaNet (ELN) revised its genetic-risk classification of acute myeloid leukemia (AML). We categorized 1637 adults with AML treated with cytarabine/anthracycline regimens according to the 2022 and 2017 ELN classifications. Compared with the 2017 ELN classification, 2022 favorable group decreased from 40% to 35% and adverse group increased from 37% to 41% of patients. The 2022 genetic-risk groups seemed to accurately reflect treatment outcomes in all patients and patients aged <60 years, but in patients aged ≥60 years, relapse rates, disease-free (DFS) and overall (OS) survival were not significantly different between intermediate and adverse groups. In younger African-American patients, DFS and OS did not differ between intermediate-risk and adverse-risk patients nor did DFS between favorable and intermediate groups. In Hispanic patients, DFS and OS did not differ between favorable and intermediate groups. Outcome prediction abilities of 2022 and 2017 ELN classifications were similar. Among favorable-risk patients, myelodysplasia-related mutations did not affect patients with CEBPAbZIP mutations or core-binding factor AML, but changed risk assignment of NPM1-mutated/FLT3-ITD-negative patients to intermediate. NPM1-mutated patients with adverse-risk cytogenetic abnormalities were closer prognostically to the intermediate than adverse group. Our analyses both confirm and challenge prognostic significance of some of the newly added markers.
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Grants
- UG1 CA233180 NCI NIH HHS
- U10 CA180821 NCI NIH HHS
- UG1 CA189850 NCI NIH HHS
- P30 CA033572 NCI NIH HHS
- UG1 CA233247 NCI NIH HHS
- R35 CA197734 NCI NIH HHS
- UG1 CA233339 NCI NIH HHS
- P50 CA140158 NCI NIH HHS
- UG1 CA233331 NCI NIH HHS
- U10 CA180882 NCI NIH HHS
- UG1 CA233338 NCI NIH HHS
- U24 CA196171 NCI NIH HHS
- P30 CA016058 NCI NIH HHS
- UG1 CA233327 NCI NIH HHS
- Leukemia and Lymphoma Society (Leukemia & Lymphoma Society)
- Aptevo, Daiichi Sankyo, Glycomemetics, Kartos Pharmaceuticals, Xencor and Genentech
- U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics)
- BLP is a consultant for Cornerstone Pharmaceuticals and reported research funding from Ambit Biosciences, Cornerstone, Genentech, Hoffman LaRoche, Jazz Pharmaceuticals, Novartis and Pfizer.
- WGB reported honoraria from Abbvie, Syndax, and AmerisourceBergen and research funding from Celyad Oncology, Nkarta, Xencor, Forma Therapeutics and Leukemia and Lymphoma Society.
- Agios Savvas Regional Cancer Hospital
- GLU is a consultant for AbbVie, Agios, Jazz, GlaxoSmithKline, Genentech, and Novartis; reported honoraria from Astellas and research funding from Macrogenics.
- JCB consults for Astellas, AstraZeneca, Novartis, Pharmacyclics, Syndax and Trillium; receives honoraria from Astellas, AstraZeneca, Novartis, Pharmacyclics, Syndax and Trillium; he is a Chairman of the Scientific Advisory Board of Vincerx Pharmaceuticals and a member of advisory committee of Newave; and is a current equity holder of Vincerx Pharmaceuticals.
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
- American Cancer Society (American Cancer Society, Inc.)
- Leukemia Research Foundation (LRF)
- Pelotonia
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Affiliation(s)
- Krzysztof Mrózek
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
| | - Jessica Kohlschmidt
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - James S Blachly
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Deedra Nicolet
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kellie J Archer
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Alice S Mims
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Karilyn T Larkin
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Shelley Orwick
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Christopher C Oakes
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | | | - Guido Marcucci
- Department of Hematological Malignancies Translational Science, Gehr Family Center for Leukemia Research, City of Hope Medical Center and Beckman Research Institute, Duarte, CA, USA
| | - Maria R Baer
- University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore, MD, USA
| | - Geoffrey L Uy
- Washington University School of Medicine, St. Louis, MO, USA
| | - Wendy Stock
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - John C Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Ann-Kathrin Eisfeld
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA.
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
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32
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Engelhardt M, Brioli A, von Lilienfeld-Toal M. [Differences due to socio-economic status, genetic background and sex in cancer and precision medicine - An intersectional approach to close the care gap for marginalized groups]. Dtsch Med Wochenschr 2023; 148:528-538. [PMID: 37094588 DOI: 10.1055/a-1892-4833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Malignant tumor diseases constitute the 2nd most common cause of death and due to our extended life expectancy cancer per se has substantially increased, being highly prevalent after cardiovascular diseases. Evidence also generated from the COVID-19 pandemic, that defined gender differences exist in symptom and disease courses, and have advocated the need to assess gender, ethnic/racial and minority differences in cancer care and treatment more meticulously. It is becoming increasingly evident that in novel cancer care/precision oncology, representation of minorities, elderly and frail patients in clinical trials remains largely unbalanced, thus distribution of cancer success is iniquitous. This article focusses on these aspects and suggests solutions, how this can be improved.
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Eisfeld AK. Unbiased decision-making for acute myeloid leukemia still needed. Haematologica 2023; 108:668-669. [PMID: 35708138 PMCID: PMC9973487 DOI: 10.3324/haematol.2022.281144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Ann-Kathrin Eisfeld
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH; Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH.
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Gupta S, Dai Y, Chen Z, Winestone LE, Teachey DT, Bona K, Aplenc R, Rabin KR, Zweidler-McKay P, Carroll AJ, Heerema NA, Gastier-Foster J, Borowitz MJ, Wood BL, Maloney KW, Mattano LA, Larsen EC, Angiolillo AL, Burke MJ, Salzer WL, Winter SS, Brown PA, Guest EM, Dunsmore KP, Kairalla JA, Winick NJ, Carroll WL, Raetz EA, Hunger SP, Loh ML, Devidas M. Racial and ethnic disparities in childhood and young adult acute lymphocytic leukaemia: secondary analyses of eight Children's Oncology Group cohort trials. Lancet Haematol 2023; 10:e129-e141. [PMID: 36725118 PMCID: PMC9951049 DOI: 10.1016/s2352-3026(22)00371-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Previous studies have identified racial and ethnic disparities in childhood acute lymphocytic leukaemia survival. We aimed to establish whether disparities persist in contemporaneous cohorts and, if present, are attributable to differences in leukaemia biology or insurance status. METHODS Patients with newly diagnosed acute lymphocytic leukaemia in inpatient and outpatient centres in the USA, Canada, Australia, and New Zealand, aged 0-30 years, who had race or ethnicity data available, enrolled on eight completed Children's Oncology Group trials (NCT00103285, NCT00075725, NCT00408005, NCT01190930, NCT02883049, NCT02112916, NCT02828358, and NCT00557193) were included in this secondary analysis. Race and ethnicity were categorised as non-Hispanic White, Hispanic, non-Hispanic Black, non-Hispanic Asian, and non-Hispanic other. Event-free survival and overall survival were compared across race and ethnicity groups. The relative contribution of clinical and biological disease prognosticators and insurance status was examined through multivariable regression models, both among the entire cohort and among those with B-cell lineage versus T-cell lineage disease. FINDINGS Between Jan 1, 2004, and Dec 31, 2019, 24 979 eligible children, adolescents, and young adults with acute lymphocytic leukaemia were enrolled, of which 21 152 had race or ethnicity data available. 11 849 (56·0%) were male and 9303 (44·0%) were female. Non-Hispanic White patients comprised the largest racial or ethnic group (13 872 [65·6%]), followed by Hispanic patients (4354 [20·6%]), non-Hispanic Black patients (1517 [7·2%]), non-Hispanic Asian (n=1071 [5·1%]), and non-Hispanic other (n=338 [1·6%]). 5-year event-free survival was 87·4% (95% CI 86·7-88·0%) among non-Hispanic White patients compared with 82·8% (81·4-84·1%; hazard ratio [HR] 1·37, 95% CI 1·26-1·49; p<0·0001) among Hispanic patients and 81·8% (79·3-84·0; HR 1·45, 1·28-1·65; p<0·0001) among non-Hispanic Black patients. Non-hispanic Asian patients had a 5-year event-free survival of 88·1% (95% CI 85·5-90·3%) and non-Hispanic other patients had a survival of 82·8% (76·4-87·6%). Inferior event-free survival among Hispanic patients was substantially attenuated by disease prognosticators and insurance status (HR decreased from 1·37 [1·26-1·49; p<0·0001] to 1·11 [1·00-1·22; p=0·045]). The increased risk among non-Hispanic Black patients was minimally attenuated (HR 1·45 [1·28-1·65; p<0·0001] to 1·32 [1·14-1·52; p<0·0001]). 5-year overall survival was 93·6% (91·5-95·1%) in non-Hispanic Asian patients, 93·3% (92·8-93·7%) in non-Hispanic White patients, 89·9% (88·7-90·9%) in Hispanic, 89·7% (87·6-91·4%) in non-Hispanic Black patients, 88·9% (83·2-92·7%) in non-Hispanic other patients. Disparities in overall survival were wider than event-free survival (eg, among non-Hispanic other patients, the HR for event-free survival was 1·43 [1·10-1·85] compared with 1·74 [1·27-2·40] for overall survival). Disparities were restricted to patients with B-cell acute lymphocytic leukaemia, no differences in event-free survival or overall survival were seen in the T-cell acute lymphocytic leukaemia group. INTERPRETATION Substantial disparities in outcome for B-cell acute lymphocytic leukaemia persist by race and ethnicity, but are not observed in T-cell acute lymphocytic leukaemia. Future studies of relapsed patients, access to and quality of care, and other potential aspects of structural racism are warranted to inform interventions aimed at dismantling racial and ethnic disparities. FUNDING National Cancer Institute and St Baldrick's Foundation.
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Affiliation(s)
- Sumit Gupta
- Cancer Research Program, ICES, Toronto, ON, Canada; Institute for Health Policy, Evaluation and Management and Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada.
| | - Yunfeng Dai
- Biostatistics, University of Florida, Gainesville, FL, USA
| | - Zhiguo Chen
- Biostatistics, University of Florida, Gainesville, FL, USA
| | - Lena E Winestone
- Department of Pediatrics, Benioff Children's Hospital and the Helen Diller Comprehensive Cancer Centre, University of California, San Francisco, San Francisco, CA, USA
| | - David T Teachey
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kira Bona
- Division of Population Sciences, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Richard Aplenc
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Karen R Rabin
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Patrick Zweidler-McKay
- Department of Pediatrics Research, The University of Texas MD Anderson Cancer Centre, Houston, TX, USA; University of Texas MD Anderson UT Health Graduate School of Biomedical Sciences, Houston, TX, USA; ImmunoGen, Waltham, MA, USA
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nyla A Heerema
- Department of Pathology, The Ohio State University Wexner School of Medicine, Columbus, OH, USA
| | - Julie Gastier-Foster
- Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, OH, USA; Department of Pediatrics, Ohio State University School of Medicine, Columbus, OH, USA
| | | | - Brent L Wood
- Department of Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Kelly W Maloney
- Department of Pediatrics, University of Colorado and Children's Hospital Colorado, Aurora, CO, USA
| | | | - Eric C Larsen
- Department of Pediatrics, Maine Children's Cancer Program, Scarborough, ME, USA
| | - Anne L Angiolillo
- Division of Oncology, Centre for Cancer and Blood Disorders, Children's National Hospital, Washington, DC, USA
| | - Michael J Burke
- Division of Pediatric Hematology-Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Wanda L Salzer
- US Army Medical Research and Materiel Command, Fort Detrick, Frederick, MD, USA
| | - Stuart S Winter
- Children's Hospitals and Clinics of Minnesota, Minneapolis, MN, USA
| | | | - Erin M Guest
- Genomic Medicine Centre, Children's Mercy Hospital, Kansas City, MO, USA
| | - Kimberley P Dunsmore
- Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | | | - Naomi J Winick
- Simmons Cancer Center and Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - William L Carroll
- Department of Pediatrics, NYU Langone Health, New York City, NY, USA
| | - Elizabeth A Raetz
- Department of Pediatrics, NYU Langone Health, New York City, NY, USA
| | - Stephen P Hunger
- Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mignon L Loh
- Department of Pediatrics, Benioff Children's Hospital and the Helen Diller Comprehensive Cancer Centre, University of California, San Francisco, San Francisco, CA, USA
| | - Meenakshi Devidas
- Department of Global Pediatric Medicine, St Jude Children's Research Hospital, Memphis, TN, USA
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Lesegretain A, Brunner A, King AJ, Laadem A, Fell G, Fathi AT. Comparison of demographics, disease characteristics, and outcomes between Black and White patients with myelodysplastic syndromes: A population-based study. Leuk Res 2023; 125:107006. [PMID: 36580877 DOI: 10.1016/j.leukres.2022.107006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/13/2022] [Accepted: 12/23/2022] [Indexed: 12/27/2022]
Abstract
Racial disparities in cancer care and outcomes have been well documented in various malignancies, with Black patients having the highest death rate and shortest survival of any racial/ethnic group in the United States (US) for most cancers. However, there have been limited studies on racial/ethnic disparities in myelodysplastic syndromes (MDS). Our study characterized and compared differences in baseline demographics, clinical characteristics, socioeconomic factors, and overall survival (OS) between Black and White patients with MDS in the US. We used the Surveillance, Epidemiology, and End Results (SEER) Program and included 37,562 patients (Black, 8.1 %; White, 91.9 %) diagnosed between 2001 and 2013. We observed significant differences in baseline characteristics between cohorts. In a univariate analysis, Black race was associated with longer survival (hazard ratio [HR]: 0.83; 95 % confidence interval [CI], 0.79-0.86; p < 0.001). The association between race and survival was attenuated but remained significant in various models to adjust for differences in baseline characteristics (HR in multivariable analysis, 0.92; 95 % CI, 0.87-0.96); p < 0.001). Subgroup analysis by histology revealed differences in the association between race and OS. Refractory anemia (RA), RA with ring sideroblasts, and MDS-not otherwise specified, a category in SEER representing a poorly defined MDS subset for 52 % of cases in our study, favored Black patients. RA with excess blasts favored White patients. The overall finding that Black race is associated with better OS outcomes, when compared with White patients, needs to be interpreted with caution and nuanced by histology. Additional research to explore these associations is warranted.
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Affiliation(s)
- Arnaud Lesegretain
- Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA; Daiichi Sankyo, 211 Mt Airy Rd, Basking Ridge, NJ 07920, USA.
| | - Andrew Brunner
- Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, USA.
| | - Andrew J King
- Department of Health Care Policy, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA.
| | | | - Geoffrey Fell
- Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA.
| | - Amir T Fathi
- Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, USA.
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Belleau P, Deschênes A, Chambwe N, Tuveson DA, Krasnitz A. Genetic Ancestry Inference from Cancer-Derived Molecular Data across Genomic and Transcriptomic Platforms. Cancer Res 2023; 83:49-58. [PMID: 36351074 PMCID: PMC9811156 DOI: 10.1158/0008-5472.can-22-0682] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 09/23/2022] [Accepted: 11/02/2022] [Indexed: 11/10/2022]
Abstract
Genetic ancestry-oriented cancer research requires the ability to perform accurate and robust genetic ancestry inference from existing cancer-derived data, including whole-exome sequencing, transcriptome sequencing, and targeted gene panels, very often in the absence of matching cancer-free genomic data. Here we examined the feasibility and accuracy of computational inference of genetic ancestry relying exclusively on cancer-derived data. A data synthesis framework was developed to optimize and assess the performance of the ancestry inference for any given input cancer-derived molecular profile. In its core procedure, the ancestral background of the profiled patient is replaced with one of any number of individuals with known ancestry. The data synthesis framework is applicable to multiple profiling platforms, making it possible to assess the performance of inference specifically for a given molecular profile and separately for each continental-level ancestry; this ability extends to all ancestries, including those without statistically sufficient representation in the existing cancer data. The inference procedure was demonstrated to be accurate and robust in a wide range of sequencing depths. Testing of the approach in four representative cancer types and across three molecular profiling modalities showed that continental-level ancestry of patients can be inferred with high accuracy, as quantified by its agreement with the gold standard of deriving ancestry from matching cancer-free molecular data. This study demonstrates that vast amounts of existing cancer-derived molecular data are potentially amenable to ancestry-oriented studies of the disease without requiring matching cancer-free genomes or patient self-reported ancestry. SIGNIFICANCE The development of a computational approach that enables accurate and robust ancestry inference from cancer-derived molecular profiles without matching cancer-free data provides a valuable methodology for genetic ancestry-oriented cancer research.
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Affiliation(s)
- Pascal Belleau
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
- Cancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
| | - Astrid Deschênes
- Cancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
- Lustgarten Foundation Pancreatic Cancer Research Laboratory, Cold Spring Harbor, New York
| | - Nyasha Chambwe
- Institute of Molecular Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York
| | - David A. Tuveson
- Cancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
- Lustgarten Foundation Pancreatic Cancer Research Laboratory, Cold Spring Harbor, New York
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
- Cancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
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Hantel A, Kohlschmidt J, Eisfeld AK, Stock W, Jacobson S, Mandrekar S, Larson RA, Stone RM, Lathan CS, DeAngelo DJ, Byrd JC, Abel GA. Inequities in Alliance Acute Leukemia Clinical Trial and Biobank Participation: Defining Targets for Intervention. J Clin Oncol 2022; 40:3709-3718. [PMID: 35696629 PMCID: PMC9649272 DOI: 10.1200/jco.22.00307] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/16/2022] [Accepted: 05/09/2022] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Representativeness in acute leukemia clinical research is essential for achieving health equity. The National Cancer Institute's mandate for Comprehensive Cancer Centers (CCCs) to define and assume responsibility for cancer control and treatment across a geographic catchment area provides an enforceable mechanism to target and potentially remediate participatory inequities. METHODS We examined enrollee characteristics across 15 Cancer and Leukemia Group B/Alliance cooperative group adult acute leukemia clinical trials (N = 3,734) from 1998 to 2013, including participation in optional companion biobanks. We determined enrollment odds by race-ethnicity for all participants adjusted for national incidence, and for those enrolled at CCCs adjusted for catchment area incidence. We modeled biobank participation by sociodemographics using logistic regression. RESULTS Non-Hispanic (NH)-White patients were more likely to be enrolled than NH-Black, NH-Asian, or Hispanic patients (odds ratio [OR], 0.75, 0.48, and 0.44, respectively; all P < .001), but less likely than NH-Native American patients (OR, 1.91; P < .001), adjusted for national incidence. Enrollment odds were lower for NH-Black, NH-Asian, and Hispanic patients at CCCs adjusted for catchment area incidence (OR, 0.57, 0.26, and 0.32, respectively; P < .001); differences were driven by overenrollment of NH-White patients from outside self-defined catchment areas (18.1% v 12.3%; χ2 P = .01) and by CCCs with less absolute enrollee diversity (rank sum P = .03). Among all enrollees, NH-White race-ethnicity and lower neighborhood deprivation correlated with biobank participation (OR, 1.81 and 1.45, respectively; P = .01 and .03). For CCC enrollees, the correlation of race-ethnicity with biobank participation was attenuated by a measure accounting for their site's degree of enrollment disparity but not neighborhood deprivation. CONCLUSION Acute leukemia clinical research disparities are substantial and driven by structural trial enrollment barriers at CCCs. Real-time CCC access and enrollment monitoring is needed to better align research participation with local populations.
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Affiliation(s)
| | - Jessica Kohlschmidt
- Alliance Statistics and Data Management Center, The Ohio State University, Columbus, OH
| | | | - Wendy Stock
- The University of Chicago, Comprehensive Cancer Center, Chicago, IL
| | - Sawyer Jacobson
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | - Sumithra Mandrekar
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | | | | | | | | | - John C. Byrd
- University of Cincinnati, Cancer Center-UC Medical Center, Cincinnati, OH
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Larkin KT, Nicolet D, Kelly BJ, Mrózek K, LaHaye S, Miller KE, Wijeratne S, Wheeler G, Kohlschmidt J, Blachly JS, Mims AS, Walker CJ, Oakes CC, Orwick S, Boateng I, Buss J, Heyrosa A, Desai H, Carroll AJ, Blum W, Powell BL, Kolitz JE, Moore JO, Mayer RJ, Larson RA, Stone RM, Paskett ED, Byrd JC, Mardis ER, Eisfeld AK. High early death rates, treatment resistance, and short survival of Black adolescents and young adults with AML. Blood Adv 2022; 6:5570-5581. [PMID: 35788257 PMCID: PMC9577622 DOI: 10.1182/bloodadvances.2022007544] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/20/2022] [Indexed: 11/20/2022] Open
Abstract
Survival of patients with acute myeloid leukemia (AML) is inversely associated with age, but the impact of race on outcomes of adolescent and young adult (AYA; range, 18-39 years) patients is unknown. We compared survival of 89 non-Hispanic Black and 566 non-Hispanic White AYA patients with AML treated on frontline Cancer and Leukemia Group B/Alliance for Clinical Trials in Oncology protocols. Samples of 327 patients (50 Black and 277 White) were analyzed via targeted sequencing. Integrated genomic profiling was performed on select longitudinal samples. Black patients had worse outcomes, especially those aged 18 to 29 years, who had a higher early death rate (16% vs 3%; P=.002), lower complete remission rate (66% vs 83%; P=.01), and decreased overall survival (OS; 5-year rates: 22% vs 51%; P<.001) compared with White patients. Survival disparities persisted across cytogenetic groups: Black patients aged 18 to 29 years with non-core-binding factor (CBF)-AML had worse OS than White patients (5-year rates: 12% vs 44%; P<.001), including patients with cytogenetically normal AML (13% vs 50%; P<.003). Genetic features differed, including lower frequencies of normal karyotypes and NPM1 and biallelic CEBPA mutations, and higher frequencies of CBF rearrangements and ASXL1, BCOR, and KRAS mutations in Black patients. Integrated genomic analysis identified both known and novel somatic variants, and relative clonal stability at relapse. Reduced response rates to induction chemotherapy and leukemic clone persistence suggest a need for different treatment intensities and/or modalities in Black AYA patients with AML. Higher early death rates suggest a delay in diagnosis and treatment, calling for systematic changes to patient care.
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Affiliation(s)
- Karilyn T. Larkin
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Benjamin J. Kelly
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Stephanie LaHaye
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH
| | - Katherine E. Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH
| | - Saranga Wijeratne
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH
| | - Gregory Wheeler
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - James S. Blachly
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Alice S. Mims
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Christopher J. Walker
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Christopher C. Oakes
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Shelley Orwick
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Isaiah Boateng
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Jill Buss
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Adrienne Heyrosa
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Helee Desai
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Andrew J. Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL
| | - William Blum
- Emory University School of Medicine, Atlanta, GA
| | - Bayard L. Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC
| | - Jonathan E. Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY
| | - Joseph O. Moore
- Duke Cancer Institute, Duke University Medical Center, Durham, NC
| | - Robert J. Mayer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Richard M. Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Electra D. Paskett
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- The Center for Cancer Health Equity, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - John C. Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH
| | - Elaine R. Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH
| | - Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
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Bottomly D, Long N, Schultz AR, Kurtz SE, Tognon CE, Johnson K, Abel M, Agarwal A, Avaylon S, Benton E, Blucher A, Borate U, Braun TP, Brown J, Bryant J, Burke R, Carlos A, Chang BH, Cho HJ, Christy S, Coblentz C, Cohen AM, d'Almeida A, Cook R, Danilov A, Dao KHT, Degnin M, Dibb J, Eide CA, English I, Hagler S, Harrelson H, Henson R, Ho H, Joshi SK, Junio B, Kaempf A, Kosaka Y, Laderas T, Lawhead M, Lee H, Leonard JT, Lin C, Lind EF, Liu SQ, Lo P, Loriaux MM, Luty S, Maxson JE, Macey T, Martinez J, Minnier J, Monteblanco A, Mori M, Morrow Q, Nelson D, Ramsdill J, Rofelty A, Rogers A, Romine KA, Ryabinin P, Saultz JN, Sampson DA, Savage SL, Schuff R, Searles R, Smith RL, Spurgeon SE, Sweeney T, Swords RT, Thapa A, Thiel-Klare K, Traer E, Wagner J, Wilmot B, Wolf J, Wu G, Yates A, Zhang H, Cogle CR, Collins RH, Deininger MW, Hourigan CS, Jordan CT, Lin TL, Martinez ME, Pallapati RR, Pollyea DA, Pomicter AD, Watts JM, Weir SJ, Druker BJ, McWeeney SK, Tyner JW. Integrative analysis of drug response and clinical outcome in acute myeloid leukemia. Cancer Cell 2022; 40:850-864.e9. [PMID: 35868306 PMCID: PMC9378589 DOI: 10.1016/j.ccell.2022.07.002] [Citation(s) in RCA: 160] [Impact Index Per Article: 53.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/30/2022] [Accepted: 06/30/2022] [Indexed: 12/17/2022]
Abstract
Acute myeloid leukemia (AML) is a cancer of myeloid-lineage cells with limited therapeutic options. We previously combined ex vivo drug sensitivity with genomic, transcriptomic, and clinical annotations for a large cohort of AML patients, which facilitated discovery of functional genomic correlates. Here, we present a dataset that has been harmonized with our initial report to yield a cumulative cohort of 805 patients (942 specimens). We show strong cross-cohort concordance and identify features of drug response. Further, deconvoluting transcriptomic data shows that drug sensitivity is governed broadly by AML cell differentiation state, sometimes conditionally affecting other correlates of response. Finally, modeling of clinical outcome reveals a single gene, PEAR1, to be among the strongest predictors of patient survival, especially for young patients. Collectively, this report expands a large functional genomic resource, offers avenues for mechanistic exploration and drug development, and reveals tools for predicting outcome in AML.
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Affiliation(s)
- Daniel Bottomly
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Nicola Long
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anna Reister Schultz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen E Kurtz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Cristina E Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Kara Johnson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Melissa Abel
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sammantha Avaylon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Erik Benton
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aurora Blucher
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Uma Borate
- Division of Hematology, Department of Internal Medicine, James Cancer Center, Ohio State University, Columbus, OH 43210, USA
| | - Theodore P Braun
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jordana Brown
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jade Bryant
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Russell Burke
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amy Carlos
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Bill H Chang
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology and Oncology, Department of Pediatrics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hyun Jun Cho
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen Christy
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Cody Coblentz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aaron M Cohen
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amanda d'Almeida
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rachel Cook
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexey Danilov
- Department of Hematology and Hematopoietic Stem Cell Transplant, City of Hope National Medical Center, Duarte, CA 91010, USA
| | | | - Michie Degnin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - James Dibb
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher A Eide
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Isabel English
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stuart Hagler
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Heath Harrelson
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rachel Henson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hibery Ho
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sunil K Joshi
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Brian Junio
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Andy Kaempf
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Biostatistics Shared Resource, Oregon Health & Science University, Portland, OR 97239, USA
| | - Yoko Kosaka
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | | | - Matt Lawhead
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hyunjung Lee
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica T Leonard
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Chenwei Lin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Evan F Lind
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Selina Qiuying Liu
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Pierrette Lo
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Marc M Loriaux
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Pathology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Samuel Luty
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Julia E Maxson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Tara Macey
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jacqueline Martinez
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica Minnier
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Biostatistics Shared Resource, Oregon Health & Science University, Portland, OR 97239, USA; OHSU-PSU School of Public Health, VA Portland Health Care System, Oregon Health & Science University, Portland, OR 97239, USA
| | - Andrea Monteblanco
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Motomi Mori
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Quinlan Morrow
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Dylan Nelson
- High-Throughput Screening Services Laboratory, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Ramsdill
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Angela Rofelty
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexandra Rogers
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Kyle A Romine
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Peter Ryabinin
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jennifer N Saultz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - David A Sampson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Samantha L Savage
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | | | - Robert Searles
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rebecca L Smith
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen E Spurgeon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Tyler Sweeney
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Ronan T Swords
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aashis Thapa
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Karina Thiel-Klare
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Elie Traer
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jake Wagner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Beth Wilmot
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joelle Wolf
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Guanming Wu
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amy Yates
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Haijiao Zhang
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher R Cogle
- Department of Medicine, Division of Hematology and Oncology, University of Florida, Gainesville, FL 32610, USA
| | - Robert H Collins
- Department of Internal Medicine/ Hematology Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390-8565, USA
| | - Michael W Deininger
- Division of Hematology & Hematologic Malignancies, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Christopher S Hourigan
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20814-1476, USA
| | - Craig T Jordan
- Division of Hematology, University of Colorado, Denver, CO 80045, USA
| | - Tara L Lin
- Division of Hematologic Malignancies & Cellular Therapeutics, University of Kansas, Kansas City, KS 66205, USA
| | - Micaela E Martinez
- Clinical Research Services, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Rachel R Pallapati
- Clinical Research Services, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Daniel A Pollyea
- Division of Hematology, University of Colorado, Denver, CO 80045, USA
| | - Anthony D Pomicter
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Justin M Watts
- Division of Hematology, Department of Medicine, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Scott J Weir
- Department of Cancer Biology, Division of Medical Oncology, Department of Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Brian J Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
| | - Shannon K McWeeney
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA.
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA.
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Abraham IE, Rauscher GH, Patel AA, Pearse WB, Rajakumar P, Burkart M, Aleem A, Dave A, Bharadwaj S, Paydary K, Acevedo-Mendez M, Goparaju K, Gomez R, Carlson K, Tsai SB, Quigley JG, Galvin JP, Zia M, Larson ML, Berg S, Stock W, Altman JK, Khan I. Structural racism is a mediator of disparities in acute myeloid leukemia outcomes. Blood 2022; 139:2212-2226. [PMID: 35061876 PMCID: PMC9710198 DOI: 10.1182/blood.2021012830] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 01/03/2022] [Indexed: 12/15/2022] Open
Abstract
Non-Hispanic Black (NHB) and Hispanic patients with acute myeloid leukemia (AML) have higher mortality rates than non-Hispanic White (NHW) patients despite more favorable genetics and younger age. A discrete survival analysis was performed on 822 adult patients with AML from 6 urban cancer centers and revealed inferior survival among NHB (hazard ratio [HR] = 1.59; 95% confidence interval [CI]: 1.15, 2.22) and Hispanic (HR = 1.25; 95% CI: 0.88, 1.79) patients compared with NHW patients. A multilevel analysis of disparities was then conducted to investigate the contribution of neighborhood measures of structural racism on racial/ethnic differences in survival. Census tract disadvantage and affluence scores were individually calculated. Mediation analysis of hazard of leukemia death between groups was examined across 6 composite variables: structural racism (census tract disadvantage, affluence, and segregation), tumor biology (European Leukemia Network risk and secondary leukemia), health care access (insurance and clinical trial enrollment), comorbidities, treatment patterns (induction intensity and transplant utilization), and intensive care unit (ICU) admission during induction chemotherapy. Strikingly, census tract measures accounted for nearly all of the NHB-NHW and Hispanic-NHW disparity in leukemia death. Treatment patterns, including induction intensity and allogeneic transplant, and treatment complications, as assessed by ICU admission during induction chemotherapy, were additional mediators of survival disparities in AML. This is the first study to formally test mediators for observed disparities in AML survival and highlights the need to investigate the mechanisms by which structural racism interacts with known prognostic and treatment factors to influence leukemia outcomes.
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Affiliation(s)
| | - Garth H. Rauscher
- Division of Epidemiology and Biostatistics UIC, University of Illinois Cancer Center, Chicago, IL
| | - Anand Ashwin Patel
- Department of Medicine, Section of Hematology-Oncology, University of Chicago, Chicago, IL
| | - William B. Pearse
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL
| | - Priya Rajakumar
- Division of Hematology, Oncology and Stem Cell Transplant, Rush University Medical Center, Chicago, IL
| | - Madelyn Burkart
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL
| | - Ahmed Aleem
- Division of Hematology and Oncology, Loyola University Medical Center, Maywood, IL
| | - Ami Dave
- Division of Hematology, Oncology and Stem Cell Transplant, Rush University Medical Center, Chicago, IL
| | - Sushma Bharadwaj
- Division of Hematology and Oncology, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL; and
| | - Koosha Paydary
- Division of Hematology and Oncology, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL; and
| | - Maria Acevedo-Mendez
- Division of Epidemiology and Biostatistics UIC, University of Illinois Cancer Center, Chicago, IL
| | - Krishna Goparaju
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL
| | - Richard Gomez
- Division of Hematology and Oncology, Loyola University Medical Center, Maywood, IL
| | - Kylie Carlson
- Division of Hematology and Oncology, Loyola University Medical Center, Maywood, IL
| | - Stephanie B. Tsai
- Division of Hematology and Oncology, Loyola University Medical Center, Maywood, IL
| | - John G. Quigley
- Division of Hematology and Oncology UIC, University of Illinois Cancer Center, Chicago, IL
| | - John P. Galvin
- Division of Epidemiology and Biostatistics UIC, University of Illinois Cancer Center, Chicago, IL
| | - Maryam Zia
- Division of Hematology and Oncology, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL; and
| | - Melissa L. Larson
- Division of Hematology, Oncology and Stem Cell Transplant, Rush University Medical Center, Chicago, IL
| | - Stephanie Berg
- Division of Hematology and Oncology, Loyola University Medical Center, Maywood, IL
| | - Wendy Stock
- Department of Medicine, Section of Hematology-Oncology, University of Chicago, Chicago, IL
| | - Jessica K. Altman
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL
| | - Irum Khan
- Division of Hematology and Oncology UIC, University of Illinois Cancer Center, Chicago, IL
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41
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Bhutada JKS, Hwang AE, Liu L, Tsai KY, Deapen D, Freyer DR. Survival of Adolescents and Young Adults with Prevalent Poor-Prognosis Metastatic Cancers: A Population-Based Study of Contemporary Patterns and Their Implications. Cancer Epidemiol Biomarkers Prev 2022; 31:900-908. [PMID: 35086824 PMCID: PMC8983591 DOI: 10.1158/1055-9965.epi-21-0913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/11/2021] [Accepted: 01/21/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Although survival has improved dramatically for most adolescents and young adults (AYA; 15-39 years old) with cancer, it remains poor for those presenting with metastatic disease. To better characterize this subset, we conducted a landscape survival comparison with older adults (40-79 years). METHODS Using Surveillance, Epidemiology, and End Results Program data from 2000 to 2016, we examined incident cases of poor-prognosis metastatic cancers (5-year survival < 50%) among AYAs (n = 11,518) and older adults (n = 345,681) and compared cause-specific survival by sociodemographic characteristics (race/ethnicity, sex, and socioeconomic status). Adjusted HRs (aHR) for death from metastatic disease [95% confidence intervals (95% CI)] were compared between AYAs and older adults (Pint). RESULTS AYAs had significantly better survival than older adults for every cancer site except kidney, where it was equivalent (range of aHRs = 0.91; 95% CI, 0.82-1.02 for kidney cancer to aHR = 0.33; 95% CI, 0.26-0.42 for rhabdomyosarcoma). Compared with their older adult counterparts, greater survival disparities existed for AYAs who were non-Hispanic Black with uterine cancer (aHR = 2.20; 95% CI, 1.25-3.86 versus aHR = 1.40; 95% CI, 1.28-1.54; Pint = 0.049) and kidney cancer (aHR = 1.51; 95% CI, 1.15-1.98 versus aHR = 1.10; 95% CI, 1.03-1.17; Pint = 0.04); non-Hispanic Asian/Pacific Islanders with ovarian cancer (aHR = 1.47; 95% CI, 1.12-1.93 versus aHR = 0.89; 95% CI, 0.84-0.95; Pint<0.001); and males with colorectal cancer (aHR = 1.21; 95% CI, 1.10-1.32 versus aHR = 1.08; 95% CI, 1.06-1.10; Pint = 0.045). CONCLUSIONS AYAs diagnosed with these metastatic cancers have better survival than older adults, but outcomes remain dismal. IMPACT Overcoming the impact of metastasis in these cancers is necessary for continuing progress in AYA oncology. Sociodemographic disparities affecting AYAs within kidney, uterine, ovarian, and colorectal cancer could indicate plausible effects of biology, environment, and/or access and should be explored.
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Affiliation(s)
| | - Amie E. Hwang
- USC Norris Comprehensive Cancer Center, Los Angeles, CA
- Los Angeles Cancer Surveillance Program, Los Angeles, CA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Lihua Liu
- USC Norris Comprehensive Cancer Center, Los Angeles, CA
- Los Angeles Cancer Surveillance Program, Los Angeles, CA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Kai-ya Tsai
- Los Angeles Cancer Surveillance Program, Los Angeles, CA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Dennis Deapen
- USC Norris Comprehensive Cancer Center, Los Angeles, CA
- Los Angeles Cancer Surveillance Program, Los Angeles, CA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - David R. Freyer
- Cancer and Blood Disease Institute, Children’s Hospital Los Angeles, Los Angeles, CA
- USC Norris Comprehensive Cancer Center, Los Angeles, CA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
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42
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Sigmund AM, Zhao Q, Jiang J, Elder P, Benson DM, Rosko A, Bumma N, Khan A, Devarakonda S, Vasu S, Jaglowski S, Mims A, Choe H, Larkin K, Brammer J, Wall S, Grieselhuber N, Saad A, Penza S, Efebera YA, Sharma N. Impact of Race and Geographic Area of Residence on Outcomes After Allogeneic Stem Cell Transplant. Front Oncol 2022; 12:801879. [PMID: 35280722 PMCID: PMC8913574 DOI: 10.3389/fonc.2022.801879] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/25/2022] [Indexed: 12/02/2022] Open
Abstract
Background Allogeneic hematopoietic stem cell transplant (allo-HCT) is a potential curative therapy for a variety of hematologic disorders. However, it requires highly specialized care that is only available at select centers across the country. Thus, minority populations are at risk for healthcare disparities in access to and outcomes of allo-HCT. Our study aimed to assess the impact of race and location of residence on outcomes of allo-HCT. Methods We performed a retrospective analysis of all patients who underwent allo-HCT at the Ohio State University from 1984 to 2018. Patients were divided by race (Caucasian, African American, and other) and grouped by zip code into rural, suburban, and urban groups. Primary endpoints included progression-free survival (PFS) and overall survival (OS). Results Of the 1,943 patients included in the study, 94.3% self-identified as Caucasian, 4.6% African American, and 1.1% other. In total, 63.4% lived in rural areas, 22.9% suburban, and 13.8% urban. There was no significant difference in OS or PFS by race (p = 0.15, 0.21) or place of residence (p = 0.39, 0.17). In addition, no difference in nonrelapse mortality, acute and chronic graft-versus-host disease (GVHD), and GVHD-free relapse-free survival (GRFS) was seen among the race or place of residence. Conclusion Our study suggests that when appropriate access to HCT is given, there is no difference in outcomes based on race, ethnicity or place of primary residence. Further research is needed to further evaluate barriers for these patients to undergo transplant and help mitigate these barriers.
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Affiliation(s)
- Audrey M. Sigmund
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Qiuhong Zhao
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Justin Jiang
- College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Patrick Elder
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Don M. Benson
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Ashley Rosko
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Naresh Bumma
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Abdullah Khan
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Srinivas Devarakonda
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Sumithira Vasu
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Samantha Jaglowski
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Alice Mims
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Hannah Choe
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Karilyn Larkin
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Jonathan Brammer
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Sarah Wall
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Nicole Grieselhuber
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Ayman Saad
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Sam Penza
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Yvonne A. Efebera
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Nidhi Sharma
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
- *Correspondence: Nidhi Sharma,
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Holtzman NG, Lebowitz MS, Koka R, Baer MR, Malhotra K, Shahlaee A, Ghanbari HA, Bentzen SM, Emadi A. Aspartate β-Hydroxylase (ASPH) Expression in Acute Myeloid Leukemia: A Potential Novel Therapeutic Target. Front Oncol 2022; 11:783744. [PMID: 35004304 PMCID: PMC8727599 DOI: 10.3389/fonc.2021.783744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 12/01/2021] [Indexed: 11/23/2022] Open
Abstract
Background Aspartate β-hydroxylase (ASPH) is an embryonic transmembrane protein aberrantly upregulated in cancer cells, associated with malignant transformation and, in some reports, with poor clinical prognosis. Objective To report the expression patterns of ASPH in acute myeloid leukemia (AML). Methods Cell surface expression of ASPH was measured via 8-color multiparameter flow cytometry in 41 AML patient samples (31 bone marrow, 10 blood) using fluorescein isothiocyanate (FITC)-conjugated anti-ASPH antibody, SNS-622. A mean fluorescent intensity (MFI) of 10 was used as a cutoff for ASPH surface expression positivity. Data regarding patient and disease characteristics were collected. Results ASPH surface expression was found on AML blasts in 16 samples (39%). Higher ASPH expression was seen in myeloblasts of African American patients (p=0.02), but no correlation was found between ASPH expression and other patient or disease characteristics. No association was found between ASPH status and CR rate (p=0.53), EFS (p=0.87), or OS (p=0.17). Conclusions ASPH is expressed on blasts in approximately 40% of AML cases, and may serve as a new therapeutically targetable leukemia-associated antigen.
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Affiliation(s)
- Noa G Holtzman
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, United States.,Immune Deficiency Cellular Therapy Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | | | - Rima Koka
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Maria R Baer
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, United States.,Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Kanam Malhotra
- Sensei Biotherapeutics Inc., Gaithersburg, MD, United States
| | - Amir Shahlaee
- Sensei Biotherapeutics Inc., Gaithersburg, MD, United States
| | | | - Søren M Bentzen
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, United States.,Department of Epidemiology and Biostatistics, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Ashkan Emadi
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, United States.,Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.,Department of Pharmacology, University of Maryland School of Medicine, Baltimore, MD, United States
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Racial and ethnic survival disparities in patients with haematological malignancies in the USA: time to stop ignoring the numbers. THE LANCET HAEMATOLOGY 2021; 8:e947-e954. [DOI: 10.1016/s2352-3026(21)00303-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 09/05/2021] [Accepted: 09/21/2021] [Indexed: 12/17/2022]
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Hantel A, Luskin MR, Garcia JS, Stock W, DeAngelo DJ, Abel GA. Racial and ethnic enrollment disparities and demographic reporting requirements in acute leukemia clinical trials. Blood Adv 2021; 5:4352-4360. [PMID: 34473244 PMCID: PMC8579250 DOI: 10.1182/bloodadvances.2021005148] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 06/24/2021] [Indexed: 12/21/2022] Open
Abstract
Data regarding racial and ethnic enrollment diversity for acute myeloid leukemia (AML) and acute lymphoid leukemia (ALL) clinical trials in the United States are limited, and little is known about the effect of federal reporting requirements instituted in the late 2000s. We examined demographic data reporting and enrollment diversity for ALL and AML trials in the United States from 2002 to 2017, as well as changes in reporting and diversity after reporting requirements were instituted. Of 223 AML trials and 97 ALL trials with results on ClinicalTrials.gov, 68 (30.5%) and 51 (52.6%) reported enrollment by both race and ethnicity. Among trials that reported race and ethnicity (AML, n = 6554; ALL, n = 4149), non-Hispanic (NH)-Black, NH-Native American, NH-Asian, and Hispanic patients had significantly lower enrollment compared with NH-White patients after adjusting for race-ethnic disease incidence (AML odds ratio, 0.68, 0.31, 0.75, and 0.83, respectively; ALL odds ratio, 0.74, 0.27, 0.67, and 0.64; all, P ≤ .01). The proportion of trials reporting race increased significantly after implementation of the reporting requirements (44.2% to 60.2%; P = .02), but race-ethnicity reporting did not (34.8% to 38.6%; P = .57). Reporting proportions according to number of patients enrolled increased significantly after the reporting requirements were instituted (race, 51.7% to 72.7%; race-ethnicity, 39.5% to 45.4%; both, P < .001), and relative enrollment of NH-Black and Hispanic patients decreased (AML odds ratio, 0.79 and 0.77; ALL odds ratio, 0.35 and 0.25; both P ≤ .01). These data suggest that demographic enrollment reporting for acute leukemia trials is suboptimal, changes in diversity after the reporting requirements may be due to additional enrollment disparities that were previously unreported, and enrollment diversification strategies specific to acute leukemia care delivery are needed.
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Affiliation(s)
- Andrew Hantel
- Division of Population Sciences and
- Division of Inpatient Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Bioethics, Harvard Medical School, Boston, MA
| | - Marlise R. Luskin
- Division of Hematologic Oncology, Dana-Farber Cancer Institute, Boston, MA; and
| | | | - Wendy Stock
- Division of Oncology, The University of Chicago, Chicago, IL
| | - Daniel J. DeAngelo
- Division of Hematologic Oncology, Dana-Farber Cancer Institute, Boston, MA; and
| | - Gregory A. Abel
- Division of Population Sciences and
- Center for Bioethics, Harvard Medical School, Boston, MA
- Division of Hematologic Oncology, Dana-Farber Cancer Institute, Boston, MA; and
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The Fragile Web of Care: Ethnicity, Poverty, and Language in Acute Leukaemia. Hemasphere 2021; 5:e652. [PMID: 34729458 PMCID: PMC8553243 DOI: 10.1097/hs9.0000000000000652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 09/23/2021] [Indexed: 11/25/2022] Open
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Practice Patterns and Real-Life Outcomes for Patients with Acute Promyelocytic Leukemia in the United States. Blood Adv 2021; 6:376-385. [PMID: 34724703 PMCID: PMC8791583 DOI: 10.1182/bloodadvances.2021005642] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 10/04/2021] [Indexed: 11/30/2022] Open
Abstract
14% of newly diagnosed APL patients in the Vizient Clinical Data Base died during initial admission or were discharged to hospice. Adverse outcomes were lower with guideline-concordant treatment, low-risk disease, higher hospital AML volume, and younger age.
Acute promyelocytic leukemia (APL) is associated with a favorable long-term prognosis if appropriate treatment is initiated promptly. Outcomes in clinical trials and population-based registries vary; potential explanations include a delay in treatment and lower adherence to guideline-recommended therapy in real-world practice. We used the Vizient Clinical Data Base to describe demographic characteristics, baseline clinical characteristics, and treatment patterns in patients newly diagnosed with APL during the study period of April 2017 to March 2020. Baseline white blood cell count was used to assign risk status and assess treatment concordance with National Comprehensive Cancer Network guidelines. Logistic regression models examined adjusted associations between patient, hospital, disease characteristics, and adverse outcomes (in-hospital death or discharge to hospice). Among 1464 patients with APL, 205 (14.0%) experienced an adverse outcome. A substantial subset (20.6%) of patients did not receive guideline-concordant regimens. Odds of adverse outcomes increased with failure to receive guideline-concordant treatment (odds ratio [OR], 2.31; 95% confidence interval [CI], 1.43-3.75; P = .001), high-risk disease (OR, 2.48; 95% CI, 1.53-4.00; P < .001), and increasing age (≥60 years: OR, 11.13; 95% CI, 4.55-27.22; P < .001). Higher hospital acute myeloid leukemia (AML) patient volume was associated with lower odds of adverse outcome (OR, 0.44; 95% CI, 0.20-0.99 [for ≤50 vs >200 AML patients per year]; P = .046). In conclusion, in this large database analysis, 14.0% of patients newly diagnosed with APL died or were discharged to hospice. A substantial proportion of patients did not receive guideline-concordant therapy, potentially contributing to adverse outcomes.
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Association of race and ethnicity with clinical phenotype, genetics, and survival in pediatric acute myeloid leukemia. Blood Adv 2021; 5:4992-5001. [PMID: 34619758 PMCID: PMC9153027 DOI: 10.1182/bloodadvances.2021004735] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 08/23/2021] [Indexed: 11/20/2022] Open
Abstract
Cytogenetic lesions in pediatric AML differ by race-ethnicity including higher rates of specific poor prognosis lesions among Black children. Racial-ethnic minorities experience worse outcomes in pediatric AML regardless of genetic disease features.
Black and Hispanic children with acute myeloid leukemia (AML) have worse outcomes compared with White children. AML is a heterogeneous disease with numerous genetic subtypes in which these disparities have not been specifically investigated. In this study, we used the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database to examine the association of race-ethnicity with leukemia cytogenetics, clinical features, and survival outcomes within major cytogenetic subgroups of pediatric AML. Compared with White non-Hispanic patients, t(8;21) AML was more prevalent among Black (odds ratio [OR], 2.22; 95% confidence interval [CI], 1.28-3.74) and Hispanic patients (OR, 1.74; 95% CI, 1.05-2.83). The poor prognosis KMT2A rearrangement t(6;11)(q27;q23) was more prevalent among Black patients (OR, 6.12; 95% CI, 1.81-21.59). Among those with KMT2Ar AML, Black race was associated with inferior event-free survival (EFS) (hazard ratio [HR], 2.31; 95% CI, 1.41-3.79) and overall survival (OS) (HR, 2.54; 1.43-4.51). Hispanic patients with KMT2Ar AML also had inferior EFS (HR, 2.20; 95% CI, 1.27-3.80) and OS (HR, 2.07; 95% CI, 1.09-3.93). Similarly, among patients with t(8;21) or inv(16) AML (ie, core-binding factor [CBF] AML), Black patients had inferior outcomes (EFS HR, 1.93; 95% CI, 1.14-3.28 and OS HR, 3.24; 95% CI, 1.60-6.57). This disparity was not detected among patients receiving gemtuzumab ozogamicin (GO). In conclusion, racial-ethnic disparities in survival outcomes among young people with AML are prominent and vary across cytogenetic subclasses. Future studies should explore the socioeconomic and biologic determinants of these disparities.
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John MJ, Kuriakose P, Smith M, Roman E, Tauro S. The long shadow of socioeconomic deprivation over the modern management of acute myeloid leukemia: time to unravel the challenges. Blood Cancer J 2021; 11:141. [PMID: 34362874 PMCID: PMC8346514 DOI: 10.1038/s41408-021-00533-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 07/25/2021] [Accepted: 07/27/2021] [Indexed: 11/10/2022] Open
Abstract
Biological and non-biological variables unrelated to acute myeloid leukemia (AML) preclude standard therapy in many settings, with "real world" patients under-represented in clinical trials and prognostic models. Here, using a case-based format, we illustrate the impact that socioeconomic and anthropogeographical constraints can have on optimally managing AML in 4 different healthcare systems. The granular details provided, emphasize the need for the development and targeting of socioeconomic interventions that are commensurate with the changing landscape of AML therapeutics, in order to avoid worsening the disparity in outcomes between patients with biologically similar disease.
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Affiliation(s)
- M Joseph John
- Department of Clinical Haematology, Haemato-Oncology & Bone Marrow (Stem Cell) Transplantation, Christian Medical College, Ludhiana, Punjab, India
| | - Philip Kuriakose
- Division of Hematology and Oncology, Henry Ford Cancer Institute, Henry Ford Hospital, Detroit, MI, USA
| | - Mark Smith
- Department of Haematology, Canterbury District Health Board, PO Box 151, Christchurch, New Zealand
| | - Eve Roman
- Department of Health Sciences, University of York, York, UK
| | - Sudhir Tauro
- Department of Haematology and Division of Molecular & Clinical Medicine, Ninewells Hospital & School of Medicine, Dundee, UK.
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Abraham IE, Patel AA, Wang H, Galvin JP, Frankfurt O, Liu L, Khan I. Impact of race on outcomes in intermediate-risk acute myeloid leukemia. Cancer Causes Control 2021; 32:705-712. [PMID: 33837498 DOI: 10.1007/s10552-021-01422-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 03/23/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Racial disparities in acute myeloid leukemia (AML) have been reported but the relative contribution of disease versus patient-specific factors including comorbidities and access to care is unclear. METHODS We conducted a retrospective analysis of patient characteristics, treatment patterns and outcomes in a racially diverse patient cohort controlling for cytogenetic risk group. Patients were classified into four groups: non-Hispanic White (NHW), non-Hispanic Black (NHB), Hispanic and Other. RESULTS We evaluated 106 patients from 84 zipcodes incorporating demographics, clinicopathologic features, treatment patterns and outcomes. We identified significant differences in BMI and geographic poverty based on ethnoracial group, while prognostic mutations in NPM1 and FLT3 did not differ significantly. Utilization of intensive chemotherapy and transplant rate did not differ by ethnoracial group. However, there was a significantly higher use of alternate donor transplants in minority populations. There was a notably increased rate of clinical trial enrollment in NHW patients compared to other groups. In log-rank analysis, NHW patients had increased overall survival (OS) compared to NHB, Hispanic and Other patients (31.6 months vs. 16.7 months vs. 14.3 months, vs 18.1 months, p = 0.021). In bivariate analysis, overall survival was negatively influenced by advanced age and race. Obesity and zip code poverty levels approached statistical significance in predicting OS. In multivariate analysis, the only factors independently influencing OS were race and allogeneic stem cell transplant. CONCLUSION These results suggest that race impacts survival in intermediate-risk AML, highlighting the need to dissect biologic and nonbiologic factors that contribute to this disparity.
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Affiliation(s)
- Ivy Elizabeth Abraham
- Division of Hematology and Oncology, Department of Internal Medicine, University of Illinois at Chicago, 840 South Wood Street, Ste 820 E-CSB, Chicago, IL, 60612, USA
| | - Anand Ashwin Patel
- University of Chicago Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA
| | - Heidy Wang
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - John Patrick Galvin
- Division of Hematology and Oncology, Department of Internal Medicine, University of Illinois at Chicago, 840 South Wood Street, Ste 820 E-CSB, Chicago, IL, 60612, USA
| | - Olga Frankfurt
- Hematology and Oncology Division, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Li Liu
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - Irum Khan
- Division of Hematology and Oncology, Department of Internal Medicine, University of Illinois at Chicago, 840 South Wood Street, Ste 820 E-CSB, Chicago, IL, 60612, USA.
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