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Renaud J, Goemans BF, Locatelli F, Pigazzi M, Redmond S, Kuehni CE, Destaillats A, Alonzo TA, Gerbing RB, Gamis A, Aplenc R, Renella R, Cooper T, Ceppi F. Characteristics and treatment of acute myeloid neoplasms with cutaneous involvement in infants up to 6 months of age: A retrospective study. Pediatr Blood Cancer 2024:e31006. [PMID: 38616361 DOI: 10.1002/pbc.31006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/19/2024] [Accepted: 03/27/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Myeloid neoplasms account for 50% of cases of pediatric leukemias in infants. Approximately 25%-50% of patients with newborn leukemia have cutaneous extramedullary disease (EMD). In less than 10% of patients, aleukemic leukemia cutis or isolated extramedullary disease with cutaneous involvement (cEMD) occurs when skin lesions appear prior to bone marrow involvement and systemic symptoms. Interestingly, in acute myeloid leukemia with cutaneous EMD (AML-cEMD) and cEMD, spontaneous remissions have been reported. METHOD This is a multicentric retrospective cohort study aiming to describe characteristics, treatment, and outcome of infants with either cEMD or presence of cutaneous disease with involvement of the bone marrow (AML-cEMD). This study included patients born between 1990 and 2018 from Italy, the Netherlands, Switzerland, and the United States, diagnosed between 0 and 6 months of life with cEMD or AML-cEMD. Descriptive statistics, Fisher's exact test, Kaplan-Meier method, and log rank test were applied. RESULTS The cohort consisted of n = 50 patients, including 42 AML-cEMD and eight cEMD patients. The most common genetic mutation found was a KMT2A rearrangement (n = 26, 52%). Overall 5-year event-free survival (EFS) and overall survival (OS) were 66% [confidence interval (CI): 51-78] and 75% [CI: 60-85], respectively. In two patients, complete spontaneous remission occurred without any therapy. Central nervous system (CNS) involvement was found in 25% of cEMD patients. No difference in outcomes was observed between the AML-cEMD and cEMD groups, but none of the latter patients included in the study died. KMT2A rearrangements were not associated with poorer prognosis. CONCLUSION In the largest cohort to date, our study describes the characteristics of infants with cutaneous involvement of myeloid neoplasms including cytomolecular findings and survival rates. Further prospective biologic and clinical studies of these infants with myeloid neoplasms will be required to individualize therapy for this rare patient population.
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Affiliation(s)
- Juliette Renaud
- Pediatric Hematology-Oncology Unit, Division of Pediatrics, Department Woman-Mother-Child, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Bianca F Goemans
- Princess Máxima Center for pediatric oncology, Utrecht, Netherlands
| | - Franco Locatelli
- Department of Haematology/Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
- Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy
| | - Martina Pigazzi
- Department of Women's and Children's Health, University of Padova, Padua, Italy
| | - Shelagh Redmond
- Institute of Social and Preventive Medicine (ISPM), University of Bern and Childhood Cancer Registry (ChCR), Bern, Switzerland
| | - Claudia E Kuehni
- Institute of Social and Preventive Medicine (ISPM), University of Bern and Childhood Cancer Registry (ChCR), Bern, Switzerland
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Alice Destaillats
- Sponsor Research Office, Direction of Innovation and Clinical Research (DIRC), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Todd A Alonzo
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Children's Oncology Group, Monrovia, California, USA
| | | | - Alan Gamis
- Department of Hematology-Oncology, Children's Mercy Hospitals and Clinics, Kansas City, Missouri, USA
| | - Richard Aplenc
- Division of Pediatric Oncology/Stem Cell Transplant, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Raffaele Renella
- Pediatric Hematology-Oncology Unit, Division of Pediatrics, Department Woman-Mother-Child, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Todd Cooper
- Pediatric Hematology-Oncology Unit, Seattle Children Hospital, Seattle, Washington, USA
| | - Francesco Ceppi
- Pediatric Hematology-Oncology Unit, Division of Pediatrics, Department Woman-Mother-Child, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
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van Dijk AD, Hoff FW, Qiu Y, Hubner SE, Go RL, Ruvolo VR, Leonti AR, Gerbing RB, Gamis AS, Aplenc R, Kolb EA, Alonzo TA, Meshinchi S, de Bont ESJM, Horton TM, Kornblau SM. Chromatin Profiles Are Prognostic of Clinical Response to Bortezomib-Containing Chemotherapy in Pediatric Acute Myeloid Leukemia: Results from the COG AAML1031 Trial. Cancers (Basel) 2024; 16:1448. [PMID: 38672531 PMCID: PMC11048007 DOI: 10.3390/cancers16081448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
The addition of the proteasome inhibitor bortezomib to standard chemotherapy did not improve survival in pediatric acute myeloid leukemia (AML) when all patients were analyzed as a group in the Children's Oncology Group phase 3 trial AAML1031 (NCT01371981). Proteasome inhibition influences the chromatin landscape and proteostasis, and we hypothesized that baseline proteomic analysis of histone- and chromatin-modifying enzymes (HMEs) would identify AML subgroups that benefitted from bortezomib addition. A proteomic profile of 483 patients treated with AAML1031 chemotherapy was generated using a reverse-phase protein array. A relatively high expression of 16 HME was associated with lower EFS and higher 3-year relapse risk after AML standard treatment compared to low expressions (52% vs. 29%, p = 0.005). The high-HME profile correlated with more transposase-accessible chromatin, as demonstrated via ATAC-sequencing, and the bortezomib addition improved the 3-year overall survival compared with standard therapy (62% vs. 75%, p = 0.033). These data suggest that there are pediatric AML populations that respond well to bortezomib-containing chemotherapy.
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Affiliation(s)
- Anneke D. van Dijk
- Division of Pediatric Oncology and Hematology, Department of Pediatrics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (F.W.H.)
- Department of Leukemia, M.D. Anderson Cancer Center, The University of Texas, Houston, TX 78712, USA
| | - Fieke W. Hoff
- Division of Pediatric Oncology and Hematology, Department of Pediatrics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (F.W.H.)
- Department of Leukemia, M.D. Anderson Cancer Center, The University of Texas, Houston, TX 78712, USA
| | - Yihua Qiu
- Department of Leukemia, M.D. Anderson Cancer Center, The University of Texas, Houston, TX 78712, USA
| | - Stefan E. Hubner
- Department of Leukemia, M.D. Anderson Cancer Center, The University of Texas, Houston, TX 78712, USA
| | - Robin L. Go
- Department of Leukemia, M.D. Anderson Cancer Center, The University of Texas, Houston, TX 78712, USA
| | - Vivian R. Ruvolo
- Department of Molecular Therapy and Hematology, M.D. Anderson Cancer Center, The University of Texas, Houston, TX 78712, USA
| | - Amanda R. Leonti
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - Alan S. Gamis
- Department of Hematology-Oncology, Children’s Mercy Hospitals and Clinics, Kansas City, MO 64108, USA
| | - Richard Aplenc
- Division of Pediatric Oncology and Stem Cell Transplant, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Edward A. Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE 19803, USA
| | - Todd A. Alonzo
- COG Statistics and Data Center, Monrovia, CA 91016, USA
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Eveline S. J. M. de Bont
- Division of Pediatric Oncology and Hematology, Department of Pediatrics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (F.W.H.)
| | - Terzah M. Horton
- Texas Children’s Cancer and Hematology Centers, Baylor College of Medicine, Houston, TX 77030, USA
| | - Steven M. Kornblau
- Department of Leukemia, M.D. Anderson Cancer Center, The University of Texas, Houston, TX 78712, USA
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3
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Ruiz J, Li Y, Cao L, Huang YSV, Tam V, Griffis HM, Winestone LE, Fisher BT, Alonzo TA, Wang YCJ, Dang AT, Kolb EA, Glanz K, Getz KD, Aplenc R, Seif AE. Association of the social disorganization index with time to first septic shock event in children with acute myeloid leukemia. Cancer 2024; 130:962-972. [PMID: 37985388 PMCID: PMC10922804 DOI: 10.1002/cncr.35109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/19/2023] [Accepted: 10/09/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Pediatric acute myeloid leukemia (AML) chemotherapy increases the risk of life-threatening complications, including septic shock (SS). An area-based measure of social determinants of health, the social disorganization index (SDI), was hypothesized to be associated with SS and SS-associated death (SS-death). METHODS Children treated for de novo AML on two Children's Oncology Group trials at institutions contributing to the Pediatric Health Information System (PHIS) database were included. The SDI was calculated via residential zip code data from the US Census Bureau. SS was identified via PHIS resource utilization codes. SS-death was defined as death within 2 weeks of an antecedent SS event. Patients were followed from 7 days after the start of chemotherapy until the first of end of front-line therapy, death, relapse, or removal from study. Multivariable-adjusted Cox regressions estimated hazard ratios (HRs) comparing time to first SS by SDI group. RESULTS The assembled cohort included 700 patients, with 207 (29.6%) sustaining at least one SS event. There were 233 (33%) in the SDI-5 group (highest disorganization). Adjusted time to incident SS did not statistically significantly differ by SDI (reference, SDI-1; SDI-2: HR, 0.84 [95% confidence interval (CI), 0.51-1.41]; SDI-3: HR, 0.70 [95% CI, 0.42-1.16]; SDI-4: HR, 0.97 [95% CI, 0.61-1.53]; SDI-5: HR, 0.72 [95% CI, 0.45-1.14]). Nine patients (4.4%) with SS experienced SS-death; seven of these patients (78%) were in SDI-4 or SDI-5. CONCLUSIONS In a large, nationally representative cohort of trial-enrolled pediatric patients with AML, there was no significant association between the SDI and time to SS.
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Affiliation(s)
- Jenny Ruiz
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yimei Li
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lusha Cao
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Yuan-Shung V Huang
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Vicky Tam
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Heather M Griffis
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lena E Winestone
- Division of Allergy, Immunology, and Bone Marrow Transplantation, Benioff Children's Hospital, University of California San Francisco, San Francisco, California, USA
| | - Brian T Fisher
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Todd A Alonzo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | | | - Alice T Dang
- Public Health Institute, Monrovia, California, USA
| | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Nemours Children's Health, Wilmington, Delaware, USA
| | - Karen Glanz
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kelly D Getz
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Richard Aplenc
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alix E Seif
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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4
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Umeda M, Ma J, Westover T, Ni Y, Song G, Maciaszek JL, Rusch M, Rahbarinia D, Foy S, Huang BJ, Walsh MP, Kumar P, Liu Y, Yang W, Fan Y, Wu G, Baker SD, Ma X, Wang L, Alonzo TA, Rubnitz JE, Pounds S, Klco JM. A new genomic framework to categorize pediatric acute myeloid leukemia. Nat Genet 2024; 56:281-293. [PMID: 38212634 PMCID: PMC10864188 DOI: 10.1038/s41588-023-01640-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 12/05/2023] [Indexed: 01/13/2024]
Abstract
Recent studies on pediatric acute myeloid leukemia (pAML) have revealed pediatric-specific driver alterations, many of which are underrepresented in the current classification schemas. To comprehensively define the genomic landscape of pAML, we systematically categorized 887 pAML into 23 mutually distinct molecular categories, including new major entities such as UBTF or BCL11B, covering 91.4% of the cohort. These molecular categories were associated with unique expression profiles and mutational patterns. For instance, molecular categories characterized by specific HOXA or HOXB expression signatures showed distinct mutation patterns of RAS pathway genes, FLT3 or WT1, suggesting shared biological mechanisms. We show that molecular categories were strongly associated with clinical outcomes using two independent cohorts, leading to the establishment of a new prognostic framework for pAML based on these updated molecular categories and minimal residual disease. Together, this comprehensive diagnostic and prognostic framework forms the basis for future classification of pAML and treatment strategies.
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Affiliation(s)
- Masayuki Umeda
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jing Ma
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Tamara Westover
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yonghui Ni
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Guangchun Song
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jamie L Maciaszek
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michael Rusch
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Delaram Rahbarinia
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Scott Foy
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Benjamin J Huang
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Michael P Walsh
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Priyadarshini Kumar
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Wenjian Yang
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yiping Fan
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Gang Wu
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Sharyn D Baker
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lu Wang
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Todd A Alonzo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeffrey E Rubnitz
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Stanley Pounds
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jeffery M Klco
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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5
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Tarlock K, Gerbing RB, Ries RE, Smith JL, Leonti A, Huang BJ, Kirkey D, Robinson L, Peplinksi JH, Lange B, Cooper TM, Gamis AS, Kolb EA, Aplenc R, Pollard JA, Alonzo TA, Meshinchi S. Prognostic Impact of Co-occurring Mutations in FLT3-ITD Pediatric Acute Myeloid Leukemia. Blood Adv 2024; 8:bloodadvances.2023011980. [PMID: 38295280 PMCID: PMC11063409 DOI: 10.1182/bloodadvances.2023011980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/28/2023] [Accepted: 01/11/2024] [Indexed: 02/02/2024] Open
Abstract
We sought to define the co-occurring mutational profile of FLT3-ITD positive (ITDpos) acute myeloid leukemia (AML) in pediatric and young adult patients and to define the prognostic impact of cooperating mutations. We identified 464 patients with FLT3-ITD mutations treated on Children's Oncology Group trials with available sequencing and outcome data. Overall survival (OS), event-free survival (EFS), and relapse risk (RR) were determined according to the presence of co-occurring risk stratifying mutations. Among the cohort, 79% of patients had co-occurring alterations across 239 different genes that were altered through mutations or fusions. Evaluation of the prognostic impact of the co-occurring mutations demonstrated that ITDpos patients experienced significantly different outcomes according to the co-occurring mutational profile. ITDpos patients harboring a co-occurring favorable risk mutation (ITDFR) of NPM1, CEBPA, t(8;21), or inv(16) experienced a 5-year EFS of 64%, which was significantly superior to patients with ITDpos and poor risk mutations (ITDPR) of WT1, UBTF or NUP98::NSD1 of 22.2% as well as those that lacked either FR or PR mutation (ITDINT) of 40.9% (p<0.001 for both). Multivariable analysis demonstrated co-occurring mutations had significant prognostic impact, while allelic ratio had no impact. Therapy intensification, specifically consolidation transplant in remission resulted in significant improvements in survival for ITDpos AML. However, ITDpos/NUP98::NSD1 patients continued to have poor outcomes with intensified therapy, including sorafenib. Co-occurring mutational profile in ITDpos AML has significant prognostic impacts is critical to determining risk stratification and therapeutic allocation for ITDpos patients.
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Affiliation(s)
- Katherine Tarlock
- Division of Hematology/Oncology, Seattle Children’s Hospital, Seattle, WA
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | | | - Rhonda E. Ries
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Jenny L. Smith
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Amanda Leonti
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Benjamin J. Huang
- Department of Pediatrics, University of California San Francisco, San Francisco, CA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA
| | - Danielle Kirkey
- Division of Hematology/Oncology, Seattle Children’s Hospital, Seattle, WA
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Leila Robinson
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Jack H. Peplinksi
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Beverly Lange
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Todd M. Cooper
- Division of Hematology/Oncology, Seattle Children’s Hospital, Seattle, WA
| | - Alan S. Gamis
- Divisions of Hematology/Oncology, Children’s Mercy Hospital and Clinics, Kansas City, MO
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Richard Aplenc
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Jessica A. Pollard
- Pediatric Oncology, Dana Farber Cancer Institute, Boston, MA
- Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Todd A. Alonzo
- Children’s Oncology Group, Monrovia, CA
- University of Southern California Keck School of Medicine, Los Angeles, CA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
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6
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Oganisian A, Getz KD, Alonzo TA, Aplenc R, Roy JA. Bayesian semiparametric model for sequential treatment decisions with informative timing. Biostatistics 2024:kxad035. [PMID: 38230584 DOI: 10.1093/biostatistics/kxad035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 09/14/2023] [Accepted: 12/10/2023] [Indexed: 01/18/2024] Open
Abstract
We develop a Bayesian semiparametric model for the impact of dynamic treatment rules on survival among patients diagnosed with pediatric acute myeloid leukemia (AML). The data consist of a subset of patients enrolled in a phase III clinical trial in which patients move through a sequence of four treatment courses. At each course, they undergo treatment that may or may not include anthracyclines (ACT). While ACT is known to be effective at treating AML, it is also cardiotoxic and can lead to early death for some patients. Our task is to estimate the potential survival probability under hypothetical dynamic ACT treatment strategies, but there are several impediments. First, since ACT is not randomized, its effect on survival is confounded over time. Second, subjects initiate the next course depending on when they recover from the previous course, making timing potentially informative of subsequent treatment and survival. Third, patients may die or drop out before ever completing the full treatment sequence. We develop a generative Bayesian semiparametric model based on Gamma Process priors to address these complexities. At each treatment course, the model captures subjects' transition to subsequent treatment or death in continuous time. G-computation is used to compute a posterior over potential survival probability that is adjusted for time-varying confounding. Using our approach, we estimate the efficacy of hypothetical treatment rules that dynamically modify ACT based on evolving cardiac function.
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Affiliation(s)
- Arman Oganisian
- Department of Biostatistics, Brown University, Providence, RI, United States
| | - Kelly D Getz
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States
| | - Todd A Alonzo
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Richard Aplenc
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Jason A Roy
- Department of Biostatistics and Epidemiology, Rutgers University, Piscataway, NJ, United States
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7
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Shastri VM, Chauhan L, Gbadamosi M, Alonzo TA, Wang YC, Aplenc R, Hirsch BA, Kolb EA, Gamis AS, Meshinchi S, Lamba JK. Genetic variation in DNA damage response pathway and response to Gemtuzumab Ozogamicin in pediatric AML: a report from the Children's Oncology Group. Clin Cancer Res 2024:733091. [PMID: 38197878 DOI: 10.1158/1078-0432.ccr-23-2073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 09/08/2023] [Accepted: 01/08/2024] [Indexed: 01/11/2024]
Abstract
PURPOSE Comprehensive pharmacogenomics (PGx) evaluation of calicheamicin-pathway to identify predictive PGx markers of response to gemtuzumab ozogamicin (GO) treatment in acute myeloid leukemia (AML). PATIENTS AND METHODS Single nucleotide polymorphisms (SNPs) in DNA-damage response (DDR) pathway genes were tested for association with event-free survival (EFS), overall-survival (OS), risk of relapse after induction 1 (RR1) in patients treated with standard chemotherapy consisting of Ara-C, Daunorubicin and Etoposide (ADE) with or without addition of GO on COG-AAML03P1 and COG-AAAML0531 trials (ADE+GO, n=755; ADE n=470). SNPs with significant association with any endpoint within ADE+GO arm but not in the ADE arm were tested using multi-SNP modeling to develop DDR_PGx7 Score. RESULTS Patients with low-DDR_PGx7 score (<0) had significantly worse EFS (HR=1.51, 95%CI (1.21-1.89), P<0.001), worse OS (HR=1.59, 95%CI (1.22-2.08), P<0.001), and higher RR1 (HR=1.87, 95%CI(1.41-2.47), P<0.0001) compared to patients with high-DDR_PGx7 score (≥0) when treated with GO (ADE+GO cohort). However, no difference between low and high DDR_PGx7 score groups was observed for EFS, OS, and RR1 (all P>0.3) in patients treated on ADE arm. CONCLUSIONS Our results suggest that DDR pathway-based pharmacogenomic score holds potential to predict outcome in patients treated with GO which consists of DNA damaging cytotoxin, calicheamicin. The potential clinical relevance for this score to personalize GO in AML requires further validation in independent and expanded cohorts.
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Affiliation(s)
| | - Lata Chauhan
- University of Florida, Gainesville, Florida, United States
| | | | | | - Yi-Cheng Wang
- Children's Oncology Group, Monrovia, CA, United States
| | - Richard Aplenc
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | | | - Edward A Kolb
- Nemours Children's Health System, Wilmington, DE, United States
| | - Alan S Gamis
- Children's Mercy Hospital, Kansas City, MO, United States
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8
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Siegel DA, Durbin EB, Pollock BH, Grimes A, Ji L, Alonzo TA, Vargas SL, Huang B, McDowell JR, Lycan E, Ransdell P, Tai E, Roth ME, Freyer DR. Population-Based Data Linkage Describing Patterns of Cancer Clinical Trial Enrollment Among Children and Adolescents. JCO Oncol Pract 2024:OP2300325. [PMID: 38194612 DOI: 10.1200/op.23.00325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 10/02/2023] [Accepted: 11/21/2023] [Indexed: 01/11/2024] Open
Abstract
PURPOSE Database linkage between cancer registries and clinical trial consortia has the potential to elucidate referral patterns of children and adolescents with newly diagnosed cancer, including enrollment into cancer clinical trials. This study's primary objective was to assess the feasibility of this linkage approach. METHODS Patients younger than 20 years diagnosed with incident cancer during 2012-2017 in the Kentucky Cancer Registry (KCR) were linked with patients enrolled in a Children's Oncology Group (COG) study. Matched patients between databases were described by sex, age, race and ethnicity, geographical location when diagnosed, and cancer type. Logistic regression modeling identified factors associated with COG study enrollment. Timeliness of patient identification by KCR was reported through the Centers for Disease Control and Prevention's Early Case Capture (ECC) program. RESULTS Of 1,357 patients reported to KCR, 47% were determined by matching to be enrolled in a COG study. Patients had greater odds of enrollment if they were age 0-4 years (v 15-19 years), reported from a COG-affiliated institution, and had renal cancer, neuroblastoma, or leukemia. Patients had lower odds of enrollment if Hispanic (v non-Hispanic White) or had epithelial (eg, thyroid, melanoma) cancer. Most (59%) patients were reported to KCR within 10 days of pathologic diagnosis. CONCLUSION Linkage of clinical trial data with cancer registries is a feasible approach for tracking patient referral and clinical trial enrollment patterns. Adolescents had lower enrollment compared with younger age groups, independent of cancer type. Population-based early case capture could guide interventions designed to increase cancer clinical trial enrollment.
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Affiliation(s)
- David A Siegel
- Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA
| | - Eric B Durbin
- Kentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, KY
| | - Brad H Pollock
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - Allison Grimes
- University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Lingyun Ji
- Children's Oncology Group, Monrovia, CA
- University of Southern California, Los Angeles, CA
| | - Todd A Alonzo
- Children's Oncology Group, Monrovia, CA
- University of Southern California, Los Angeles, CA
| | | | - Bin Huang
- Kentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, KY
| | - Jaclyn R McDowell
- Kentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, KY
| | - Ellen Lycan
- Kentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, KY
| | - Peter Ransdell
- Kentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington, KY
| | - Eric Tai
- Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA
| | - Michael E Roth
- Division of Pediatrics, University of Texas MD Anderson Cancer Center, Houston, TX
| | - David R Freyer
- University of Southern California, Los Angeles, CA
- Children's Hospital Los Angeles, Los Angeles, CA
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9
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Leger KJ, Robison N, Narayan HK, Smith AM, Tsega T, Chung J, Daniels A, Chen Z, Englefield V, Demissei BG, Lefebvre B, Morrow G, Dizon I, Gerbing RB, Pabari R, Getz KD, Aplenc R, Pollard JA, Chow EJ, Tang WHW, Border WL, Sachdeva R, Alonzo TA, Kolb EA, Cooper TM, Ky B. Rationale and design of the Children's Oncology Group study AAML1831 integrated cardiac substudies in pediatric acute myeloid leukemia therapy. Front Cardiovasc Med 2023; 10:1286241. [PMID: 38107263 PMCID: PMC10722184 DOI: 10.3389/fcvm.2023.1286241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/07/2023] [Indexed: 12/19/2023] Open
Abstract
Background Pediatric acute myeloid leukemia (AML) therapy is associated with substantial short- and long-term treatment-related cardiotoxicity mainly due to high-dose anthracycline exposure. Early left ventricular systolic dysfunction (LVSD) compromises anthracycline delivery and is associated with inferior event-free and overall survival in de novo pediatric AML. Thus, effective cardioprotective strategies and cardiotoxicity risk predictors are critical to optimize cancer therapy delivery and enable early interventions to prevent progressive LVSD. While dexrazoxane-based cardioprotection reduces short-term cardiotoxicity without compromising cancer survival, liposomal anthracycline formulations have the potential to mitigate cardiotoxicity while improving antitumor efficacy. This overview summarizes the rationale and methodology of cardiac substudies within AAML1831, a randomized Children's Oncology Group Phase 3 study of CPX-351, a liposomal formulation of daunorubicin and cytarabine, in comparison with standard daunorubicin/cytarabine with dexrazoxane in the treatment of de novo pediatric AML. Methods/design Children (age <22 years) with newly diagnosed AML were enrolled and randomized to CPX-351-containing induction 1 and 2 (Arm A) or standard daunorubicin and dexrazoxane-containing induction (Arm B). Embedded cardiac correlative studies aim to compare the efficacy of this liposomal anthracycline formulation to dexrazoxane for primary prevention of cardiotoxicity by detailed core lab analysis of standardized echocardiograms and serial cardiac biomarkers throughout AML therapy and in follow-up. In addition, AAML1831 will assess the ability of early changes in sensitive echo indices (e.g., global longitudinal strain) and cardiac biomarkers (e.g., troponin and natriuretic peptides) to predict subsequent LVSD. Finally, AAML1831 establishes expert consensus-based strategies in cardiac monitoring and anthracycline dose modification to balance the potentially competing priorities of cardiotoxicity reduction with optimal leukemia therapy. Discussion This study will inform diagnostic, prognostic, preventative, and treatment strategies regarding cardiotoxicity during pediatric AML therapy. Together, these measures have the potential to improve leukemia-free and overall survival and long-term cardiovascular health in children with AML. Clinical trial registration: https://clinicaltrials.gov/, identifier NCT04293562.
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Affiliation(s)
- Kasey J. Leger
- Division of Pediatric Hematology/Oncology, Seattle Children’s Hospital, University of Washington, Seattle, WA, United States
| | - Nora Robison
- Division of Pediatric Hematology/Oncology, Seattle Children’s Hospital, University of Washington, Seattle, WA, United States
| | - Hari K. Narayan
- Division of Cardiology, Department of Pediatrics, Rady Children’s Hospital San Diego, University of California San Diego, La Jolla, CA, United States
| | - Amanda M. Smith
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Tenaadam Tsega
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jade Chung
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Amber Daniels
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Zhen Chen
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Virginia Englefield
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Biniyam G. Demissei
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Benedicte Lefebvre
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Gemma Morrow
- Division of Cardiology, Children’s Healthcare of Atlanta, Atlanta, GA, United States
| | - Ilona Dizon
- Division of Cardiology, Seattle Children’s Hospital, Seattle, WA, United States
| | | | - Reena Pabari
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Kelly D. Getz
- Division of Oncology, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Richard Aplenc
- Division of Oncology, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Jessica A. Pollard
- Division of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Eric J. Chow
- Division of Pediatric Hematology/Oncology, Seattle Children’s Hospital, University of Washington, Seattle, WA, United States
- Clinical Research and Public Health Sciences Divisions, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - W. H. Wilson Tang
- Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States
| | - William L. Border
- Division of Cardiology, Children’s Healthcare of Atlanta, Atlanta, GA, United States
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Ritu Sachdeva
- Division of Cardiology, Children’s Healthcare of Atlanta, Atlanta, GA, United States
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Todd A. Alonzo
- Children’s Oncology Group, Monrovia, CA, United States
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE, United States
| | - Todd M. Cooper
- Division of Pediatric Hematology/Oncology, Seattle Children’s Hospital, University of Washington, Seattle, WA, United States
| | - Bonnie Ky
- Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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10
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Chi SN, Yi JS, Williams PM, Roy-Chowdhuri S, Patton DR, Coffey BD, Reid JM, Piao J, Saguilig L, Alonzo TA, Berg SL, Ramirez NC, Jaju A, Mhlanga JC, Fox E, Hawkins DS, Mooney MM, Takebe N, Tricoli JV, Janeway KA, Seibel NL, Parsons DW. Tazemetostat for tumors harboring SMARCB1/SMARCA4 or EZH2 alterations: results from NCI-COG pediatric MATCH APEC1621C. J Natl Cancer Inst 2023; 115:1355-1363. [PMID: 37228094 PMCID: PMC11009504 DOI: 10.1093/jnci/djad085] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND National Cancer Institute-Children's Oncology Group Pediatric Molecular Analysis for Therapy Choice assigns patients aged 1-21 years with refractory solid tumors, brain tumors, lymphomas, and histiocytic disorders to phase II trials of molecularly targeted therapies based on detection of predefined genetic alterations. Patients whose tumors harbored EZH2 mutations or loss of SMARCB1 or SMARCA4 by immunohistochemistry were treated with EZH2 inhibitor tazemetostat. METHODS Patients received tazemetostat for 28-day cycles until disease progression or intolerable toxicity (max 26 cycles). The primary endpoint was objective response rate; secondary endpoints included progression-free survival and tolerability of tazemetostat. RESULTS Twenty patients (median age = 5 years) enrolled, all evaluable for response and toxicities. The most frequent diagnoses were atypical teratoid rhabdoid tumor (n = 8) and malignant rhabdoid tumor (n = 4). Actionable alterations consisted of SMARCB1 loss (n = 16), EZH2 mutation (n = 3), and SMARCA4 loss (n = 1). One objective response was observed in a patient with non-Langerhans cell histiocytosis with SMARCA4 loss (26 cycles, 1200 mg/m2/dose twice daily). Four patients with SMARCB1 loss had a best response of stable disease: epithelioid sarcoma (n = 2), atypical teratoid rhabdoid tumor (n = 1), and renal medullary carcinoma (n = 1). Six-month progression-free survival was 35% (95% confidence interval [CI] = 15.7% to 55.2%) and 6-month overall survival was 45% (95% CI = 23.1% to 64.7%). Treatment-related adverse events were consistent with prior tazemetostat reports. CONCLUSIONS Although tazemetostat did not meet its primary efficacy endpoint in this population of refractory pediatric tumors (objective response rate = 5%, 90% CI = 1% to 20%), 25% of patients with multiple histologic diagnoses experienced prolonged stable disease of 6 months and over (range = 9-26 cycles), suggesting a potential effect of tazemetostat on disease stabilization.
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Affiliation(s)
- Susan N Chi
- Department of Pediatrics, Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA, USA
| | - Joanna S Yi
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX, USA
| | - P Mickey Williams
- Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Sinchita Roy-Chowdhuri
- Department of Pathology and Laboratory Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David R Patton
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brent D Coffey
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joel M Reid
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Jin Piao
- Department of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lauren Saguilig
- Children’s Oncology Group Statistical Center, Monrovia, CA, USA
| | - Todd A Alonzo
- Department of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Stacey L Berg
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX, USA
| | - Nilsa C Ramirez
- Biopathology Center, Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA
| | - Alok Jaju
- Department of Radiology, Ann and Robert H. Lurie Children's Hospital, Chicago, IL, USA
| | - Joyce C Mhlanga
- Department of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Elizabeth Fox
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, TN, USA
| | - Douglas S Hawkins
- Department of Hematology-Oncology, Seattle Children’s Hospital, University of Washington, Seattle, WA, USA
| | - Margaret M Mooney
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Cancer Therapy Evaluation Program, Bethesda, MD, USA
| | - Naoko Takebe
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Cancer Therapy Evaluation Program, Bethesda, MD, USA
| | - James V Tricoli
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Katherine A Janeway
- Department of Pediatrics, Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA, USA
| | - Nita L Seibel
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Cancer Therapy Evaluation Program, Bethesda, MD, USA
| | - D Williams Parsons
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX, USA
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11
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Dang HM, Krailo MD, Alonzo TA, Mack WJ, Kairalla JA. Information fraction estimation: Strategies for a phase 3 non-inferiority maximum duration design with time to event outcome. Pharm Stat 2023; 22:1031-1045. [PMID: 37496113 PMCID: PMC10811287 DOI: 10.1002/pst.2327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/03/2023] [Accepted: 06/20/2023] [Indexed: 07/28/2023]
Abstract
There is considerable debate surrounding the choice of methods to estimate information fraction for futility monitoring in a randomized non-inferiority maximum duration trial. This question was motivated by a pediatric oncology study that aimed to establish non-inferiority for two primary outcomes. While non-inferiority was determined for one outcome, the futility monitoring of the other outcome failed to stop the trial early, despite accumulating evidence of inferiority. For a one-sided trial design for which the intervention is inferior to the standard therapy, futility monitoring should provide the opportunity to terminate the trial early. Our research focuses on the Total Control Only (TCO) method, which is defined as a ratio of observed events to total events exclusively within the standard treatment regimen. We investigate its properties in stopping a trial early in favor of inferiority. Simulation results comparing the TCO method with alternative methods, one based on the assumption of an inferior treatment effect (TH0), and the other based on a specified hypothesis of a non-inferior treatment effect (THA), were provided under various pediatric oncology trial design settings. The TCO method is the only method that provides unbiased information fraction estimates regardless of the hypothesis assumptions and exhibits a good power and a comparable type I error rate at each interim analysis compared to other methods. Although none of the methods is uniformly superior on all criteria, the TCO method possesses favorable characteristics, making it a compelling choice for estimating the information fraction when the aim is to reduce cancer treatment-related adverse outcomes.
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Affiliation(s)
- Ha M. Dang
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto Street, Suite 201-A, Los Angeles, CA 90032
- Children’s Oncology Group, 1333 S. Mayflower Avenue, Suite 260, Monrovia, CA 91016
- Biostatistics, Programming, and Data Management, Johnson & Johnson Medical Devices Companies, 31 Technology Dr., Suite 200, Irvine, CA 92618
| | - Mark D. Krailo
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto Street, Suite 201-A, Los Angeles, CA 90032
- Children’s Oncology Group, 1333 S. Mayflower Avenue, Suite 260, Monrovia, CA 91016
| | - Todd A. Alonzo
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto Street, Suite 201-A, Los Angeles, CA 90032
- Children’s Oncology Group, 1333 S. Mayflower Avenue, Suite 260, Monrovia, CA 91016
| | - Wendy J. Mack
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto Street, Suite 201-A, Los Angeles, CA 90032
| | - John A. Kairalla
- Children’s Oncology Group, 1333 S. Mayflower Avenue, Suite 260, Monrovia, CA 91016
- Department of Biostatistics, Colleges of Medicine, Public Health and Health Professions, University of Florida, P.O. Box 117450, Gainesville, FL 32611
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12
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Hoff FW, Qiu Y, Brown BD, Gerbing RB, Leonti AR, Ries RE, Gamis AS, Aplenc R, Kolb EA, Alonzo TA, Meshinchi S, Jenkins GN, Horton T, Kornblau SM. Valosin-containing protein (VCP/p97) is prognostically unfavorable in pediatric AML, and negatively correlates with unfolded protein response proteins IRE1 and GRP78: A report from the Children's Oncology Group. Proteomics Clin Appl 2023; 17:e2200109. [PMID: 37287368 PMCID: PMC10700663 DOI: 10.1002/prca.202200109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 04/25/2023] [Accepted: 05/25/2023] [Indexed: 06/09/2023]
Abstract
PURPOSE The endoplasmic reticulum (ER) is the major site of protein synthesis and folding in the cell. ER-associated degradation (ERAD) and unfolded protein response (UPR) are the main mechanisms of ER-mediated cell stress adaptation. Targeting the cell stress response is a promising therapeutic approach in acute myeloid leukemia (AML). EXPERIMENTAL DESIGN Protein expression levels of valosin-containing protein (VCP), a chief element of ERAD, were measured in peripheral blood samples from in 483 pediatric AML patients using reverse phase protein array methodology. Patients participated in the Children's Oncology Group AAML1031 phase 3 clinical trial that randomized patients to standard chemotherapy (cytarabine (Ara-C), daunorubicin, and etoposide [ADE]) versus ADE plus bortezomib (ADE+BTZ). RESULTS Low-VCP expression was significantly associated with favorable 5-year overall survival (OS) rate compared to middle-high-VCP expression (81% versus 63%, p < 0.001), independent of additional bortezomib treatment. Multivariable Cox regression analysis identified VCP as independent predictor of clinical outcome. UPR proteins IRE1 and GRP78 had significant negative correlation with VCP. Five-year OS in patients characterized by low-VCP, moderately high-IRE1 and high-GRP78 improved after treatment with ADE+BTZ versus ADE (66% versus 88%, p = 0.026). CONCLUSION AND CLINICAL RELEVANCE Our findings suggest the potential of the protein VCP as biomarker in prognostication prediction in pediatric AML.
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Affiliation(s)
- Fieke W. Hoff
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Yihua Qiu
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Brandon D. Brown
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Amanda R. Leonti
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Rhonda E. Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Alan S. Gamis
- Department of Hematology-Oncology, Children’s Mercy Hospitals and Clinics, Kansas City, MO
| | - Richard Aplenc
- Division of Pediatric Oncology/Stem Cell Transplant, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Todd A. Alonzo
- COG Statistics and Data Center, Monrovia, CA
- Keck School of Medicine, University of Southern California, CA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Gaye N Jenkins
- Department of Pediatrics, Baylor College of Medicine/Dan L. Duncan Cancer Center and Texas Children’s Cancer Center, Houston, Texas
| | - Terzah Horton
- Department of Pediatrics, Baylor College of Medicine/Dan L. Duncan Cancer Center and Texas Children’s Cancer Center, Houston, Texas
| | - Steven M. Kornblau
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
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13
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Zarnegar-Lumley S, Alonzo TA, Gerbing RB, Othus M, Sun Z, Ries RE, Wang J, Leonti A, Kutny MA, Ostronoff F, Radich JP, Appelbaum FR, Pogosova-Agadjanyan EL, O’Dwyer K, Tallman MS, Litzow M, Atallah E, Cooper TM, Aplenc RA, Abdel-Wahab O, Gamis AS, Luger S, Erba H, Levine R, Kolb EA, Stirewalt DL, Meshinchi S, Tarlock K. Characteristics and prognostic impact of IDH mutations in AML: a COG, SWOG, and ECOG analysis. Blood Adv 2023; 7:5941-5953. [PMID: 37267439 PMCID: PMC10562769 DOI: 10.1182/bloodadvances.2022008282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/12/2023] [Accepted: 05/08/2023] [Indexed: 06/04/2023] Open
Abstract
Somatic mutations in isocitrate dehydrogenase (IDH) genes occur frequently in adult acute myeloid leukemia (AML) and less commonly in pediatric AML. The objective of this study was to describe the prevalence, mutational profile, and prognostic significance of IDH mutations in AML across age. Our cohort included 3141 patients aged between <1 month and 88 years treated on Children's Cancer Group/Children's Oncology Group (n = 1872), Southwest Oncology Group (n = 359), Eastern Cooperative Oncology Group (n = 397) trials, and in Beat AML (n = 333) and The Cancer Genome Atlas (n = 180) genomic characterization cohorts. We retrospectively analyzed patients in 4 age groups (age range, n): pediatric (0-17, 1744), adolescent/young adult (18-39, 444), intermediate-age (40-59, 640), older (≥60, 309). IDH mutations (IDHmut) were identified in 9.2% of the total cohort (n = 288; IDH1 [n = 123, 42.7%]; IDH2 [n = 165, 57.3%]) and were strongly correlated with increased age: 3.4% pediatric vs 21% older, P < .001. Outcomes were similar in IDHmut and IDH-wildtype (IDHWT) AML (event-free survival [EFS]: 35.6% vs 40.0%, P = .368; overall survival [OS]: 50.3% vs 55.4%, P = .196). IDH mutations frequently occurred with NPM1 (47.2%), DNMT3A (29.3%), and FLT3-internal tandem duplication (ITD) (22.4%) mutations. Patients with IDHmut AML with NPM1 mutation (IDHmut/NPM1mut) had significantly improved survival compared with the poor outcomes experienced by patients without (IDHmut/NPM1WT) (EFS: 55.1% vs 17.0%, P < .001; OS: 66.5% vs 35.2%, P < .001). DNTM3A or FLT3-ITD mutations in otherwise favorable IDHmut/NPM1mut AML led to inferior outcomes. Age group analysis demonstrated that IDH mutations did not abrogate the favorable prognostic impact of NPM1mut in patients aged <60 years; older patients had poor outcomes regardless of NPM1 status. These trials were registered at www.clinicaltrials.gov as #NCT00070174, #NCT00372593, #NCT01371981, #NCT00049517, and #NCT00085709.
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Affiliation(s)
- Sara Zarnegar-Lumley
- Division of Hematology/Oncology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Todd A. Alonzo
- Children’s Oncology Group, Monrovia, CA
- University of Southern California Keck School of Medicine, Los Angeles, CA
| | | | - Megan Othus
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Zhuoxin Sun
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA
| | - Rhonda E. Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jim Wang
- Children’s Oncology Group, Monrovia, CA
| | - Amanda Leonti
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Matthew A. Kutny
- Division of Hematology/Oncology, Department of Pediatrics, The University of Alabama at Birmingham, Birmingham, AL
| | - Fabiana Ostronoff
- Intermountain Blood and Marrow Transplant and Acute Leukemia Program, Intermountain Healthcare, Salt Lake City, UT
| | - Jerald P. Radich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Departments of Oncology and Hematology, University of Washington, Seattle, WA
| | - Frederick R. Appelbaum
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Departments of Oncology and Hematology, University of Washington, Seattle, WA
| | | | - Kristen O’Dwyer
- Department of Medicine, Wilmot Cancer Institute, University of Rochester, Rochester, NY
| | - Martin S. Tallman
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mark Litzow
- Department of Internal Medicine and Division of Hematology, Mayo Clinic College of Medicine, Rochester, MN
| | - Ehab Atallah
- Division of Hematology/Oncology, Medical College of Wisconsin, Milwaukee, WI
| | - Todd M. Cooper
- Division of Hematology/Oncology, Seattle Children’s Hospital Cancer and Blood Disorders Center, University of Washington, Seattle, WA
| | - Richard A. Aplenc
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Omar Abdel-Wahab
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alan S. Gamis
- Division of Hematology/Oncology/Bone Marrow Transplantation, Children’s Mercy Hospitals and Clinics, Kansas City, MO
| | - Selina Luger
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Harry Erba
- Division of Hematologic Malignancies and Cellular Therapies, Department of Medicine, Duke Cancer Institute, Durham, NC
| | - Ross Levine
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Derek L. Stirewalt
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Departments of Oncology and Hematology, University of Washington, Seattle, WA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Katherine Tarlock
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Hematology/Oncology, Seattle Children’s Hospital Cancer and Blood Disorders Center, University of Washington, Seattle, WA
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14
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Farrar JE, Othus M, Wang YC, Alonzo TA, Meshinchi S. Reply to Z.R. McCaw et al. J Clin Oncol 2023; 41:4447. [PMID: 37390387 PMCID: PMC10522099 DOI: 10.1200/jco.23.00986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 07/02/2023] Open
Affiliation(s)
- Jason E. Farrar
- Jason E. Farrar, MD, Arkansas Children's Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR; Megan Othus, PhD, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA; Yi-Cheng Wang, MS, Children's Oncology Group, Monrovia, CA; Todd A. Alonzo, PhD, Children's Oncology Group, Monrovia, CA, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA; and Soheil Meshinchi, MD, PhD, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, Department of Pediatrics, University of Washington, Seattle, WA
| | - Megan Othus
- Jason E. Farrar, MD, Arkansas Children's Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR; Megan Othus, PhD, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA; Yi-Cheng Wang, MS, Children's Oncology Group, Monrovia, CA; Todd A. Alonzo, PhD, Children's Oncology Group, Monrovia, CA, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA; and Soheil Meshinchi, MD, PhD, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, Department of Pediatrics, University of Washington, Seattle, WA
| | - Yi-Cheng Wang
- Jason E. Farrar, MD, Arkansas Children's Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR; Megan Othus, PhD, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA; Yi-Cheng Wang, MS, Children's Oncology Group, Monrovia, CA; Todd A. Alonzo, PhD, Children's Oncology Group, Monrovia, CA, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA; and Soheil Meshinchi, MD, PhD, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, Department of Pediatrics, University of Washington, Seattle, WA
| | - Todd A. Alonzo
- Jason E. Farrar, MD, Arkansas Children's Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR; Megan Othus, PhD, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA; Yi-Cheng Wang, MS, Children's Oncology Group, Monrovia, CA; Todd A. Alonzo, PhD, Children's Oncology Group, Monrovia, CA, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA; and Soheil Meshinchi, MD, PhD, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, Department of Pediatrics, University of Washington, Seattle, WA
| | - Soheil Meshinchi
- Jason E. Farrar, MD, Arkansas Children's Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR; Megan Othus, PhD, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA; Yi-Cheng Wang, MS, Children's Oncology Group, Monrovia, CA; Todd A. Alonzo, PhD, Children's Oncology Group, Monrovia, CA, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA; and Soheil Meshinchi, MD, PhD, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, Department of Pediatrics, University of Washington, Seattle, WA
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15
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Cooper TM, Alonzo TA, Tasian SK, Kutny MA, Hitzler J, Pollard JA, Aplenc R, Meshinchi S, Kolb EA. Children's Oncology Group's 2023 blueprint for research: Myeloid neoplasms. Pediatr Blood Cancer 2023; 70 Suppl 6:e30584. [PMID: 37480164 PMCID: PMC10614720 DOI: 10.1002/pbc.30584] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 07/23/2023]
Abstract
During the past decade, the outcomes of pediatric patients with acute myeloid leukemia (AML) have plateaued with 5-year event-free survival (EFS) and overall survival (OS) of approximately 46 and 64%, respectively. Outcomes are particularly poor for those children with high-risk disease, who have 5-year OS of 46%. Substantial survival improvements have been observed for a subset of patients treated with targeted therapies. Specifically, children with KMT2A-rearranged AML and/or FLT3 internal tandem duplication (FLT3-ITD) mutations benefitted from the addition of gemtuzumab ozogamicin, an anti-CD33 antibody-drug conjugate, in the AAML0531 clinical trial (NCT00372593). Sorafenib also improved response and survival in children with FLT3-ITD AML in the AAML1031 clinical trial (NCT01371981). Advances in characterization of prognostic cytomolecular events have helped to identify patients at highest risk of relapse and facilitated allocation to consolidative hematopoietic stem cell transplant (HSCT) in first remission. Some patients clearly have improved survival with HSCT, although the benefit is largely unknown for most patients. Finally, data-driven refinements in supportive care recommendations continue to evolve with meaningful and measurable reductions in toxicity and improvements in EFS and OS. As advances in application of targeted therapies, risk stratification, and improved supportive care measures are incorporated into current trials and become standard-of-care, there is every expectation that we will see improved survival with a reduction in toxic morbidity and mortality. The research agenda of the Children's Oncology Group's Myeloid Diseases Committee continues to build upon experience and outcomes with an overarching goal of curing more children with AML.
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Affiliation(s)
- Todd M Cooper
- Seattle Children’s Hospital Cancer and Blood Disorders Service, University of Washington School of Medicine; Seattle, Washington
| | | | - Sarah K Tasian
- Children’s Hospital of Philadelphia Division of Oncology and Center for Childhood Cancer Research and University of Pennsylvania School of Medicine; Philadelphia, Pennsylvania
| | - Matthew A Kutny
- University of Alabama at Birmingham, Department of Pediatrics, Division of Hematology/Oncology, Birmingham, Alabama
| | - Johann Hitzler
- Division of Hematology/Oncology, The Hospital for Sick Children, Department of Paediatrics, University of Toronto, ON, Canada; Developmental and Stem Cell Biology, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Jessica A Pollard
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, and Division of Hematology/Oncology, Boston Children’s Hospital, and Harvard Medical School, Boston, Massachusetts
| | - Richard Aplenc
- Children’s Hospital of Philadelphia Division of Oncology and Center for Childhood Cancer Research and University of Pennsylvania School of Medicine; Philadelphia, Pennsylvania
| | - Soheil Meshinchi
- Seattle Children’s Hospital Cancer and Blood Disorders Service, University of Washington School of Medicine; Seattle, Washington
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Nemours Children’s Health, Wilmington, DE
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16
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Marrero RJ, Cao X, Wu H, Elsayed AH, Klco JM, Ribeiro RC, Rubnitz JE, Ma X, Meshinchi S, Aplenc R, Kolb EA, Ries RE, Alonzo TA, Pounds SB, Lamba JK. SAMHD1 single nucleotide polymorphisms impact outcome in children with newly diagnosed acute myeloid leukemia. Blood Adv 2023; 7:2538-2550. [PMID: 36689724 PMCID: PMC10242642 DOI: 10.1182/bloodadvances.2022009088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/08/2022] [Accepted: 01/09/2023] [Indexed: 01/24/2023] Open
Abstract
Cytarabine arabinoside (Ara-C) has been the cornerstone of acute myeloid leukemia (AML) chemotherapy for decades. After cellular uptake, it is phosphorylated into its active triphosphate form (Ara-CTP), which primarily exerts its cytotoxic effects by inhibiting DNA synthesis in proliferating cells. Interpatient variation in the enzymes involved in the Ara-C metabolic pathway has been shown to affect intracellular abundance of Ara-CTP and, thus, its therapeutic benefit. Recently, SAMHD1 (SAM and HD domain-containing deoxynucleoside triphosphate triphosphohydrolase 1) has emerged to play a role in Ara-CTP inactivation, development of drug resistance, and, consequently, clinical response in AML. Despite this, the impact of genetic variations in SAMHD1 on outcome in AML has not been investigated in depth. In this study, we evaluated 25 single nucleotide polymorphisms (SNPs) within the SAMHD1 gene for association with clinical outcome in 400 pediatric patients with newly diagnosed AML from 2 clinical trials, AML02 and AML08. Three SNPs, rs1291128, rs1291141, and rs7265241 located in the 3' region of SAMHD1 were significantly associated with at least 1 clinical outcome: minimal residual disease after induction I, event-free survival (EFS), or overall survival (OS) in the 2 cohorts. In an independent cohort of patients from the COG-AAML1031 trial (n = 854), rs7265241 A>G remained significantly associated with EFS and OS. In multivariable analysis, all the SNPs remained independent predictors of clinical outcome. These results highlight the relevance of the SAMHD1 pharmacogenomics in context of response to Ara-C in AML and warrants the need for further validation in expanded patient cohorts.
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Affiliation(s)
- Richard J. Marrero
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL
| | - Xueyuan Cao
- Department of Health Promotion and Disease Prevention, University of Tennessee Health Science Center, Memphis, TN
| | - Huiyun Wu
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Abdelrahman H. Elsayed
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL
| | - Jeffery M. Klco
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Raul C. Ribeiro
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Jeffrey E. Rubnitz
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Richard Aplenc
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Rhonda E. Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Todd A. Alonzo
- Children's Oncology Group Statistics and Data Center, Monrovia, CA
- Biostatistics Division, University of Southern California, Los Angeles, CA
| | - Stanley B. Pounds
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Jatinder K. Lamba
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL
- University of Florida Health Cancer Center, University of Florida, Gainesville, FL
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL
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17
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Farrar JE, Smith JL, Othus M, Huang BJ, Wang YC, Ries R, Hylkema T, Pogosova-Agadjanyan EL, Challa S, Leonti A, Shaw TI, Triche TJ, Gamis AS, Aplenc R, Kolb EA, Ma X, Stirewalt DL, Alonzo TA, Meshinchi S. Long Noncoding RNA Expression Independently Predicts Outcome in Pediatric Acute Myeloid Leukemia. J Clin Oncol 2023; 41:2949-2962. [PMID: 36795987 PMCID: PMC10414715 DOI: 10.1200/jco.22.01114] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 12/15/2022] [Accepted: 01/17/2023] [Indexed: 02/18/2023] Open
Abstract
PURPOSE Optimized strategies for risk classification are essential to tailor therapy for patients with biologically distinctive disease. Risk classification in pediatric acute myeloid leukemia (pAML) relies on detection of translocations and gene mutations. Long noncoding RNA (lncRNA) transcripts have been shown to associate with and mediate malignant phenotypes in acute myeloid leukemia (AML) but have not been comprehensively evaluated in pAML. METHODS To identify lncRNA transcripts associated with outcomes, we evaluated the annotated lncRNA landscape by transcript sequencing of 1,298 pediatric and 96 adult AML specimens. Upregulated lncRNAs identified in the pAML training set were used to establish a regularized Cox regression model of event-free survival (EFS), yielding a 37 lncRNA signature (lncScore). Discretized lncScores were correlated with initial and postinduction treatment outcomes using Cox proportional hazards models in validation sets. Predictive model performance was compared with standard stratification methods by concordance analysis. RESULTS Training set cases with positive lncScores had 5-year EFS and overall survival rates of 26.7% and 42.7%, respectively, compared with 56.9% and 76.3% with negative lncScores (hazard ratio, 2.48 and 3.16; P < .001). Pediatric validation cohorts and an adult AML group yielded comparable results in magnitude and significance. lncScore remained independently prognostic in multivariable models, including key factors used in preinduction and postinduction risk stratification. Subgroup analysis suggested that lncScores provide additional outcome information in heterogeneous subgroups currently classified as indeterminate risk. Concordance analysis showed that lncScore adds to overall classification accuracy with at least comparable predictive performance to current stratification methods that rely on multiple assays. CONCLUSION Inclusion of the lncScore enhances predictive power of traditional cytogenetic and mutation-defined stratification in pAML with potential, as a single assay, to replace these complex stratification schemes with comparable predictive accuracy.
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Affiliation(s)
- Jason E. Farrar
- Department of Pediatrics, Arkansas Children's Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Jenny L. Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Megan Othus
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Benjamin J. Huang
- Department of Pediatrics, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
| | | | - Rhonda Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Tiffany Hylkema
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Sneha Challa
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Amanda Leonti
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Timothy I. Shaw
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Timothy J. Triche
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI
| | - Alan S. Gamis
- Department of Pediatrics, Children's Mercy Hospitals and Clinics, Kansas City, MO
| | - Richard Aplenc
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders and Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Xiaotu Ma
- Department of Computational Biology, St Jude Children's Research Hospital, Memphis, TN
| | - Derek L. Stirewalt
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Todd A. Alonzo
- Children's Oncology Group, Monrovia, CA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Pediatrics, University of Washington, Seattle, WA
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18
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Chisholm KM, Smith J, Heerema-McKenney AE, Choi JK, Ries RE, Hirsch BA, Raimondi SC, Wang YC, Dang A, Alonzo TA, Sung L, Aplenc R, Gamis AS, Meshinchi S, Kahwash SB. Pathologic, cytogenetic, and molecular features of acute myeloid leukemia with megakaryocytic differentiation: A report from the Children's Oncology Group. Pediatr Blood Cancer 2023; 70:e30251. [PMID: 36789545 PMCID: PMC10038909 DOI: 10.1002/pbc.30251] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/18/2023] [Accepted: 01/26/2023] [Indexed: 02/16/2023]
Abstract
BACKGROUND Acute myeloid leukemia (AML) with megakaryocytic differentiation (AMkL) is a rare subtype of AML more common in children. Recent literature has identified multiple fusions associated with this type of leukemia. METHODS Morphology, cytogenetics, and genomic sequencing were assessed in patients from Children's Oncology Group trials AAML0531 and AAML1031 with central-pathology review confirmed non-Down syndrome AMkL. The 5-year event-free survival (EFS), overall survival (OS), and RR were evaluated in these AMkL subcategories. RESULTS A total of 107 cases of AMkL (5.5%) were included. Distinct fusions were identified in the majority: RBM15::MRTFA (20%), CBFA2T3::GLIS2 (16%), NUP98 (10%), KMT2A (7%), TEC::MLLT10 (2%), MECOM (1%), and FUS::ERG (1%); many of the remaining cases were classified as AMkL with (other) myelodysplasia-related changes (MRC). Very few cases had AML-associated somatic mutations. Cases with CBFA2T3::GLIS2 were enriched in trisomy 3 (p = .015) and the RAM phenotype, with associated high CD56 expression (p < .001). Cases with NUP98 fusions were enriched in trisomy 6 (p < .001), monosomy 13/del(13q) (p < .001), trisomy 21 (p = .026), and/or complex karyotypes (p = .026). While different 5-year EFS and OS were observed in AMkL in each trial, in general, those with CBFA2T3::GLIS2 or KMT2A rearrangements had worse outcomes compared to other AMkL, while those with RBM15::MRTFA or classified as AMkl-MRC fared better. AMkL with NUP98 fusions also had poor outcomes in the AAML1031 trial. CONCLUSION Given the differences in outcomes, AMkL classification by fusions, cytogenetics, and morphology may be warranted to help in risk stratification and therapeutic options.
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Affiliation(s)
- Karen M. Chisholm
- Department of Laboratories, Seattle Children’s Hospital, Seattle, WA
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA
| | - Jenny Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - John K. Choi
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL
| | - Rhonda E. Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Betsy A. Hirsch
- Division of Laboratory Medicine, University of Minnesota Medical Center, Fairview, Minneapolis, MN
| | - Susana C. Raimondi
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN
| | | | | | - Todd A. Alonzo
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Lillian Sung
- Department of Pediatrics, Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Alan S. Gamis
- Children’s Mercy Hospitals & Clinics, Kansas City, MO
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Samir B. Kahwash
- Department of Pathology and Laboratory Medicine, Nationwide Children’s Hospital, Columbus, OH
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19
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Lamble AJ, Hagiwara K, Gerbing RB, Smith JL, Kolekar P, Ries RE, Kolb EA, Alonzo TA, Ma X, Meshinchi S. CREBBP alterations are associated with a poor prognosis in de novo AML. Blood 2023; 141:2156-2159. [PMID: 36634304 PMCID: PMC10273087 DOI: 10.1182/blood.2022017545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/14/2023] Open
Affiliation(s)
- Adam J. Lamble
- Division of Hematology and Oncology, Seattle Children's Hospital, Seattle, WA
| | - Kohei Hagiwara
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN
| | | | - Jenny L. Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Pandurang Kolekar
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Rhonda E. Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Edward A. Kolb
- Division of Oncology, Nemours Alfred I. duPont Hospital for Children, Wilmington, DE
| | - Todd A. Alonzo
- Children's Oncology Group, Monrovia, CA
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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20
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Liu Y, Klein J, Bajpai R, Dong L, Tran Q, Kolekar P, Smith JL, Ries RE, Huang BJ, Wang YC, Alonzo TA, Tian L, Mulder HL, Shaw TI, Ma J, Walsh MP, Song G, Westover T, Autry RJ, Gout AM, Wheeler DA, Wan S, Wu G, Yang JJ, Evans WE, Loh M, Easton J, Zhang J, Klco JM, Meshinchi S, Brown PA, Pruett-Miller SM, Ma X. Etiology of oncogenic fusions in 5,190 childhood cancers and its clinical and therapeutic implication. Nat Commun 2023; 14:1739. [PMID: 37019972 PMCID: PMC10076316 DOI: 10.1038/s41467-023-37438-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 03/16/2023] [Indexed: 04/07/2023] Open
Abstract
Oncogenic fusions formed through chromosomal rearrangements are hallmarks of childhood cancer that define cancer subtype, predict outcome, persist through treatment, and can be ideal therapeutic targets. However, mechanistic understanding of the etiology of oncogenic fusions remains elusive. Here we report a comprehensive detection of 272 oncogenic fusion gene pairs by using tumor transcriptome sequencing data from 5190 childhood cancer patients. We identify diverse factors, including translation frame, protein domain, splicing, and gene length, that shape the formation of oncogenic fusions. Our mathematical modeling reveals a strong link between differential selection pressure and clinical outcome in CBFB-MYH11. We discover 4 oncogenic fusions, including RUNX1-RUNX1T1, TCF3-PBX1, CBFA2T3-GLIS2, and KMT2A-AFDN, with promoter-hijacking-like features that may offer alternative strategies for therapeutic targeting. We uncover extensive alternative splicing in oncogenic fusions including KMT2A-MLLT3, KMT2A-MLLT10, C11orf95-RELA, NUP98-NSD1, KMT2A-AFDN and ETV6-RUNX1. We discover neo splice sites in 18 oncogenic fusion gene pairs and demonstrate that such splice sites confer therapeutic vulnerability for etiology-based genome editing. Our study reveals general principles on the etiology of oncogenic fusions in childhood cancer and suggests profound clinical implications including etiology-based risk stratification and genome-editing-based therapeutics.
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Affiliation(s)
- Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jonathon Klein
- Department of Cell and Molecular Biology and Center for Advanced Genome Editing, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Richa Bajpai
- Department of Cell and Molecular Biology and Center for Advanced Genome Editing, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Li Dong
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Quang Tran
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Pandurang Kolekar
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jenny L Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rhonda E Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Benjamin J Huang
- Department of Pediatrics and Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | - Todd A Alonzo
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Liqing Tian
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Heather L Mulder
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Timothy I Shaw
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA
| | - Jing Ma
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michael P Walsh
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Guangchun Song
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Tamara Westover
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Robert J Autry
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alexander M Gout
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - David A Wheeler
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shibiao Wan
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Gang Wu
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jun J Yang
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - William E Evans
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Mignon Loh
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute and the Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - John Easton
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jeffery M Klco
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | | | - Shondra M Pruett-Miller
- Department of Cell and Molecular Biology and Center for Advanced Genome Editing, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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21
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Ji L, Alonzo TA. Comparison of design methods for a safety run-in phase of a phase II clinical trial. Clin Trials 2023; 20:181-191. [PMID: 36628921 PMCID: PMC10324475 DOI: 10.1177/17407745221140913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND/AIMS In pediatric oncology, a Phase II trial often utilizes a safety run-in phase followed by an efficacy phase that enrolls at the dose level selected based on the safety run-in. Different from a Phase I trial, a Phase II safety run-in often assesses a very small number of dose levels. In the context of a safety run-in that assesses two or three dose levels, this article aims to compare three design methods, including the algorithm-based designs 3 + 3 and Rolling 6, and the model-assisted designs such as the Bayesian optimal interval design. METHODS Extensive simulations were conducted to evaluate and compare operating characteristics of the three design methods for a safety run-in with two or three dose levels, varying the starting dose level. RESULTS The performance of algorithm-based and model-assisted designs can be influenced by selection of the starting dose level, with trials starting at a lower dose level having a higher probability of selecting a low dose or considering all doses as toxic. The impact is larger for 3 + 3 and Rolling 6 but to a lesser extent for Bayesian optimal interval design. For a safety run-in with two dose levels, using 3 + 3 or Rolling 6 and starting at the higher dose often lead to similar performance to Bayesian optimal interval design. For safety run-in with three dose levels, starting at the middle dose with 3 + 3, Rolling 6 or Bayesian optimal interval design is a good compromise between improving correct dose selection and imposing a toxic dose to less patients. CONCLUSIONS Despite being sensitive to the starting dose level, the 3 + 3, Rolling 6 and Bayesian optimal interval designs overall demonstrate reasonable performance, which can be further improved with wise selection of the starting dose level. The Rolling 6 design remains the recommended design method especially if pharmacokinetics is important or required with this design having the feature of treating six patients per dose level. When designing a safety run-in, selection of a design method or selection of a starting dose should consider both the performance of the design approaches with different choices of a starting dose level and the magnitude of safety concerns with the dose levels under investigation.
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Affiliation(s)
- Lingyun Ji
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Todd A Alonzo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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22
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Stevens AM, Horton TM, Glasser CL, Gerbing RB, Aplenc R, Alonzo TA, Redell MS. IL-10 and TNFα are associated with decreased survival in low-risk pediatric acute myeloid leukemia; a children's oncology group report. Pediatr Hematol Oncol 2023; 40:147-158. [PMID: 35838057 PMCID: PMC10498011 DOI: 10.1080/08880018.2022.2089790] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 02/07/2023]
Abstract
Pediatric acute myeloid leukemia (AML) is a devastating disease with a high risk of relapse. Current risk classification designates patients as high or low risk (LR) based on molecular features and therapy response. However, 30% of LR patients still suffer relapse, indicating a need for improvement in risk stratification. Cytokine levels, such as IL-6 and IL-10, have been shown to be prognostic in adult AML but have not been well studied in children. Previously, we reported elevated IL-6 levels in pediatric AML bone marrow to be associated with inferior prognosis. Here, we expanded our investigation to assess cytokine levels in diagnostic peripheral blood plasma (PBP) of pediatric AML patients and determined correlation with outcome. Diagnostic PBP was obtained from 80 patients with LR AML enrolled on the Children's Oncology Group AAML1031 study and normal PBP from 11 controls. Cytokine levels were measured and correlation with clinical outcome was assessed. IL-6, TNFα, MIP-3a, and IL-1β were significantly higher in AML patients versus controls when corrected by the Bonferroni method. Furthermore, elevated TNFα and IL-10 were significantly associated with inferior outcomes. Our data demonstrate that in diagnostic PBP of LR pediatric AML patients, certain cytokine levels are elevated as compared to healthy controls and that elevated TNFα and IL-10 are associated with inferior outcomes, supporting the idea that an abnormal inflammatory state may predict poor outcomes. Studies are needed to determine the mechanisms by which these cytokines impact survival, and to further evaluate their use as prognostic biomarkers in pediatric AML.
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Affiliation(s)
- Alexandra M. Stevens
- Division of Pediatric Hematology/Oncology, Baylor College of Medicine, Houston, TX
| | - Terzah M. Horton
- Division of Pediatric Hematology/Oncology, Baylor College of Medicine, Houston, TX
| | - Chana L. Glasser
- Division of Pediatric Hematology/Oncology, NYU Langone Hospital - Long Island, Mineola, NY
| | | | - Richard Aplenc
- Division of Pediatric Oncology/Stem Cell Transplant, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Todd A. Alonzo
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Michele S. Redell
- Division of Pediatric Hematology/Oncology, Baylor College of Medicine, Houston, TX
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23
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Bertrums EJM, Smith JL, Harmon L, Ries RE, Wang YCJ, Alonzo TA, Menssen AJ, Chisholm KM, Leonti AR, Tarlock K, Ostronoff F, Pogosova-Agadjanyan EL, Kaspers GJL, Hasle H, Dworzak M, Walter C, Muhlegger N, Morerio C, Pardo L, Hirsch B, Raimondi S, Cooper TM, Aplenc R, Gamis AS, Kolb EA, Farrar JE, Stirewalt D, Ma X, Shaw TI, Furlan SN, Brodersen LE, Loken MR, Van den Heuvel-Eibrink MM, Zwaan CM, Triche TJ, Goemans BF, Meshinchi S. Comprehensive molecular and clinical characterization of NUP98 fusions in pediatric acute myeloid leukemia. Haematologica 2023. [PMID: 36815378 PMCID: PMC10388277 DOI: 10.3324/haematol.2022.281653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Indexed: 02/24/2023] Open
Abstract
NUP98 fusions c omprise a family o f rare r ecurrent a lterations i n A ML, associated w ith adverse outcomes. To define the underlying biology and clinical implications of this family of fusions, we performed comprehensive transcriptome, epigenome, and immunophenotypic profiling of 2,235 children and young adults with AML and identified 160 NUP98 rearrangements (7.2%), including 108 NUP98-NSD1 (4.8%), 32 NUP98-KDM5A (1.4%) and 20 NUP98-X cases (0.9%) with 13 different fusion partners. Fusion partners defined disease characteristics and biology; patients with NUP98-NSD1 or NUP98-KDM5A had distinct immunophenotypic, transcriptomic, and epigenomic profiles. Unlike the two most prevalent NUP98 fusions, NUP98-X variants are typically not cryptic. Furthermore, NUP98-X cases are associated with WT1 mutations, and have epigenomic profiles that resemble either NUP98- NSD1 or NUP98-KDM5A. Cooperating FLT3-ITD and WT1 mutations define NUP98-NSD1, and chromosome 13 aberrations are highly enriched in NUP98-KDM5A. Importantly, we demonstrate that NUP98 fusions portend dismal overall survival, with the noteworthy exception of patients bearing abnormal chr13.
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Affiliation(s)
- Eline J M Bertrums
- Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Pediatric Oncology/Hematology, Erasmus Medical Center - Sophia Children's Hospital, Rotterdam, the Netherlands; Oncode Institute, Utrecht.
| | - Jenny L Smith
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA
| | - Lauren Harmon
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI
| | - Rhonda E Ries
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA
| | - Yi-Cheng J Wang
- Department of Translational Genomics, University of Southern California, Los Angeles, CA, USA; Children's Oncology Group, Monrovia, CA
| | - Todd A Alonzo
- Department of Translational Genomics, University of Southern California, Los Angeles, CA, USA; Children's Oncology Group, Monrovia, CA
| | | | - Karen M Chisholm
- Department of Laboratories, Seattle Children's Hospital, Seattle, WA
| | - Amanda R Leonti
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA
| | - Katherine Tarlock
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA, USA; Division of Hematology and Oncology, Seattle Children's Hospital, Seattle, WA
| | - Fabiana Ostronoff
- Intermountain Blood and Marrow Transplant and Acute Leukemia Program, Intermountain Healthcare, Salt Lake City, UT
| | | | - Gertjan J L Kaspers
- Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands; Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Pediatric Oncology, The Netherlands; Dutch Childhood Oncology Group
| | - Henrik Hasle
- Department of Pediatrics, Aarhus University Hospital, Aarhus, Denmark
| | - Michael Dworzak
- Children's Cancer Research Institute, Medical University of Vienna, Vienna, Austria; St. Anna Kinderspital, Department of Pediatrics, Medical University of Vienna, Vienna
| | - Christiane Walter
- Department of Pediatric Hematology and Oncology, University Hospital Essen, Essen
| | - Nora Muhlegger
- Children's Cancer Research Institute, Medical University of Vienna, Vienna
| | - Cristina Morerio
- Laboratory of Human Genetics, IRCCS Istituto Giannina Gaslini, Genoa
| | | | - Betsy Hirsch
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN
| | - Susana Raimondi
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN
| | - Todd M Cooper
- Division of Hematology and Oncology, Seattle Children's Hospital, Seattle, WA
| | - Richard Aplenc
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Alan S Gamis
- Division of Hematology/Oncology, Children's Mercy Kansas City, Kansas City, MO
| | - Edward A Kolb
- Nemours Alfred I. duPont Hospital for Children, Wilmington, DE
| | - Jason E Farrar
- Arkansas Children's Research Institute and Department of Pediatrics, Hematology/Oncology Section, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Derek Stirewalt
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA
| | - Xiaotu Ma
- Computational Biology Department, St. Jude Children's Research Hospital, Memphis, TN
| | - Tim I Shaw
- Computational Biology Department, St. Jude Children's Research Hospital, Memphis, TN
| | - Scott N Furlan
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA
| | | | | | | | - C Michel Zwaan
- Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Pediatric Oncology/Hematology, Erasmus Medical Center - Sophia Children's Hospital, Rotterdam, the Netherlands; Dutch Childhood Oncology Group
| | - Timothy J Triche
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI, USA; Department of Translational Genomics, University of Southern California, Los Angeles, CA, USA; Department of Pediatrics, Michigan State University College of Human Medicine, Grand Rapids, MI
| | | | - Soheil Meshinchi
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA, USA; Children's Oncology Group, Monrovia, CA, USA; Division of Hematology and Oncology, Seattle Children's Hospital, Seattle, WA.
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24
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Soler M, Alfaro K, Masch RJ, Conzuelo Rodriguez G, Qu X, Wu S, Sun J, Hernández Jovel DM, Bonilla J, Puentes LO, Murillo R, Alonzo TA, Felix JC, Castle P, Cremer M. Safety and Acceptability of Three Ablation Treatments for High-Grade Cervical Precancer: Early Data From a Randomized Noninferiority Clinical Trial. JCO Glob Oncol 2022; 8:e2200112. [PMID: 36525620 PMCID: PMC10166394 DOI: 10.1200/go.22.00112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
PURPOSE This ongoing trial is comparing the efficacy and safety of three ablation treatments for cervical intraepithelial neoplasia grade 2 or higher. Here, we present early data regarding pain, side effects, and acceptability of CO2 gas-based cryotherapy (CO2), nongas cryotherapy, and thermal ablation (TA). Efficacy results are expected to become available in late 2023. MATERIALS AND METHODS This noninferiority randomized trial is taking place in El Salvador, China, and Colombia. Patients are 1,152 eligible women with biopsy-confirmed cervical intraepithelial neoplasia grade 2 or higher who will receive one of three ablation treatments. Pain is measured before, during, and after treatment with a visual analog scale (1-10). Side effects and acceptability are assessed at 6 weeks. RESULTS To date, 1,024 of 1,152 (89%) women were randomly assigned to treatment. The median pain level was higher during TA (4, IQR = 4) than CO2 (2, IQR = 4) or nongas cryotherapy (2, IQR = 4) (P < .01, range: 0-10). The most common post-treatment symptom was watery discharge, reported by 97.9% of women, and it lasted longer in the CO2 group than the other two treatments (in days, median [IQR]: CO2 = 20[20], nongas cryotherapy = 15[10], TA = 18[15], P < .01). Bleeding was reported more frequently in women treated with TA (27.6%) than CO2 (17.5) or nongas cryotherapy (18.7%) (P < .01). The majority of patients reported being very satisfied with the treatment they received at 6 weeks (91%) and again at 12 months post-treatment (97%). CONCLUSION Despite differences in pain and side effects across ablation treatments, all were safe and highly acceptable to patients. In addition to efficacy, considerations such as cost and portability may be more significant in choosing a treatment method.
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Affiliation(s)
- Montserrat Soler
- Ob/Gyn and Women's Health Institute, Cleveland Clinic, Cleveland, OH.,Basic Health International, Pittsburgh, PA; San Salvador, El Salvador
| | - Karla Alfaro
- Basic Health International, Pittsburgh, PA; San Salvador, El Salvador
| | - Rachel J Masch
- Basic Health International, Pittsburgh, PA; San Salvador, El Salvador
| | | | - Xinfeng Qu
- Basic Health International, Pittsburgh, PA; San Salvador, El Salvador
| | - Suhui Wu
- Department of Obstetrics and Gynecology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Jingfen Sun
- Department of Obstetrics and Gynecology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | | | - Jairo Bonilla
- Centro Javeriano de Oncología, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Luis Orlando Puentes
- Centro Javeriano de Oncología, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Raúl Murillo
- Centro Javeriano de Oncología, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Todd A Alonzo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Juan C Felix
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI
| | - Philip Castle
- Divisions of Cancer Prevention and Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Miriam Cremer
- Ob/Gyn and Women's Health Institute, Cleveland Clinic, Cleveland, OH.,Basic Health International, Pittsburgh, PA; San Salvador, El Salvador
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25
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Huang BJ, Smith JL, Farrar JE, Wang YC, Umeda M, Ries RE, Leonti AR, Crowgey E, Furlan SN, Tarlock K, Armendariz M, Liu Y, Shaw TI, Wei L, Gerbing RB, Cooper TM, Gamis AS, Aplenc R, Kolb EA, Rubnitz J, Ma J, Klco JM, Ma X, Alonzo TA, Triche T, Meshinchi S. Integrated stem cell signature and cytomolecular risk determination in pediatric acute myeloid leukemia. Nat Commun 2022; 13:5487. [PMID: 36123353 PMCID: PMC9485122 DOI: 10.1038/s41467-022-33244-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 09/07/2022] [Indexed: 11/30/2022] Open
Abstract
Relapsed or refractory pediatric acute myeloid leukemia (AML) is associated with poor outcomes and relapse risk prediction approaches have not changed significantly in decades. To build a robust transcriptional risk prediction model for pediatric AML, we perform RNA-sequencing on 1503 primary diagnostic samples. While a 17 gene leukemia stem cell signature (LSC17) is predictive in our aggregated pediatric study population, LSC17 is no longer predictive within established cytogenetic and molecular (cytomolecular) risk groups. Therefore, we identify distinct LSC signatures on the basis of AML cytomolecular subtypes (LSC47) that were more predictive than LSC17. Based on these findings, we build a robust relapse prediction model within a training cohort and then validate it within independent cohorts. Here, we show that LSC47 increases the predictive power of conventional risk stratification and that applying biomarkers in a manner that is informed by cytomolecular profiling outperforms a uniform biomarker approach. Relapsed pediatric acute myeloid leukemia is associated with poor prognosis. Here, the authors use RNA-seq data from 1503 primary samples to create a combined transcriptional and cytomolecular signature to improve relapse risk prediction.
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Affiliation(s)
- Benjamin J Huang
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
| | - Jenny L Smith
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jason E Farrar
- University of Arkansas for Medical Sciences & Arkansas Children's Research Institute, Little Rock, AR, USA
| | | | - Masayuki Umeda
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Rhonda E Ries
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Erin Crowgey
- Nemours Center for Cancer and Blood Disorders and Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | - Scott N Furlan
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Katherine Tarlock
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Marcos Armendariz
- School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Timothy I Shaw
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lisa Wei
- Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | | | - Todd M Cooper
- Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Alan S Gamis
- Children's Mercy Hospitals and Clinics, Kansas City, MO, USA
| | - Richard Aplenc
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders and Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | - Jeffrey Rubnitz
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jing Ma
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jeffery M Klco
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Todd A Alonzo
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Soheil Meshinchi
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
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26
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Ji L, Whangbo J, Levine JE, Alonzo TA. Inefficiency of two-stage designs in phase II oncology clinical trials with high proportion of inevaluable patients. Contemp Clin Trials 2022; 120:106849. [PMID: 35868503 PMCID: PMC9489679 DOI: 10.1016/j.cct.2022.106849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/09/2022] [Accepted: 07/08/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Two-stage designs are commonly used for oncology Phase II clinical trials with a binary response endpoint. An issue that has not gained sufficient attention is the potential inefficiency in the usage of two-stage designs due to multiple enrollment suspensions when the proportion of patients inevaluable for response is high. METHODS Simulation studies were used to assess the performance of Simon's two-stage designs, two-stage designs with a proposed modification, and a single-stage design in the context of Phase II clinical trials with a high proportion of patients inevaluable for response. RESULTS Two-stage designs can require multiple enrollment disruptions when the inevaluable proportion is high, which can result in unacceptable inefficiency. The proposed modification provides a practical solution to this issue by enrolling an extra number of patients towards the end of the 1st stage, anticipating that a proportion of the patients pending response evaluation could be inevaluable. Single-stage designs with interim monitoring of futility that require no interim accrual suspension can be more efficient than two-stage designs, especially when the accrual and inevaluable rates are high. CONCLUSIONS Planning of Phase II trials should consider the issue of inefficiency of the two-stage designs, especially for trials with a high inevaluable proportion. Designs with monitoring rules that do not require accrual suspensions may be given more considerations, especially in trials of agents that have already had some evidence for safety and efficacy in other populations.
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Affiliation(s)
- Lingyun Ji
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
| | - Jennifer Whangbo
- Division of Hematology-Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, United States of America
| | - John E Levine
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States of America
| | - Todd A Alonzo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
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27
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Miller TP, Getz KD, Li Y, Demissei BG, Adamson PC, Alonzo TA, Burrows E, Cao L, Castellino SM, Daves MH, Fisher BT, Gerbing R, Grundmeier RW, Krause EM, Lee J, Lupo PJ, Rabin KR, Ramos M, Scheurer ME, Wilkes JJ, Winestone LE, Hawkins DS, Gramatges MM, Aplenc R. Rates of laboratory adverse events by course in paediatric leukaemia ascertained with automated electronic health record extraction: a retrospective cohort study from the Children's Oncology Group. Lancet Haematol 2022; 9:e678-e688. [PMID: 35870472 PMCID: PMC9444944 DOI: 10.1016/s2352-3026(22)00168-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/13/2022] [Accepted: 05/17/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Adverse events are often misreported in clinical trials, leading to an incomplete understanding of toxicities. We aimed to test automated laboratory adverse event ascertainment and grading (via the ExtractEHR automated package) to assess its scalability and define adverse event rates for children with acute myeloid leukaemia and acute lymphoblastic leukaemia. METHODS For this retrospective cohort study from the Children's Oncology Group (COG), we included patients aged 0-22 years treated for acute myeloid leukaemia or acute lymphoblastic leukaemia at Children's Healthcare of Atlanta (Atlanta, GA, USA) from Jan 1, 2010, to Nov 1, 2018, at the Children's Hospital of Philadelphia (Philadelphia, PA, USA) from Jan 1, 2011, to Dec 31, 2014, and at the Texas Children's Hospital (Houston, TX, USA) from Jan 1, 2011, to Dec 31, 2014. The ExtractEHR automated package acquired, cleaned, and graded laboratory data as per Common Terminology Criteria for Adverse Events (CTCAE) version 5 for 22 commonly evaluated grade 3-4 adverse events (fatal events were not evaluated) with numerically based CTCAE definitions. Descriptive statistics tabulated adverse event frequencies. Adverse events ascertained by ExtractEHR were compared to manually reported adverse events for patients enrolled in two COG trials (AAML1031, NCT01371981; AALL0932, NCT02883049). Analyses were restricted to protocol-defined chemotherapy courses (induction I, induction II, intensification I, intensification II, and intensification III for acute myeloid leukaemia; induction, consolidation, interim maintenance, delayed intensification, and maintenance for acute lymphoblastic leukaemia). FINDINGS Laboratory adverse event data from 1077 patients (583 from Children's Healthcare of Atlanta, 200 from the Children's Hospital of Philadelphia, and 294 from the Texas Children's Hospital) who underwent 4611 courses (549 for acute myeloid leukaemia and 4062 for acute lymphoblastic leukaemia) were extracted, processed, and graded. Of the 166 patients with acute myeloid leukaemia, 86 (52%) were female, 80 (48%) were male, 96 (58%) were White, and 132 (80%) were non-Hispanic. Of the 911 patients with acute lymphoblastic leukaemia, 406 (45%) were female, 505 (55%) were male, 596 (65%) were White, and 641 (70%) were non-Hispanic. Patients with acute myeloid leukaemia had the most adverse events during induction I and intensification II. Hypokalaemia (one [17%] of six to 75 [48%] of 156 courses) and alanine aminotransferase (ALT) increased (13 [10%] of 134 to 27 [17%] of 156 courses) were the most prevalent non-haematological adverse events in patients with acute myeloid leukaemia, as identified by ExtractEHR. Patients with acute lymphoblastic leukaemia had the greatest number of adverse events during induction and maintenance (eight adverse events with prevalence ≥10%; induction and maintenance: anaemia, platelet count decreased, white blood cell count decreased, neutrophil count decreased, lymphocyte count decreased, ALT increased, and hypocalcaemia; induction: hypokalaemia; maintenance: aspartate aminotransferase [AST] increased and blood bilirubin increased), as identified by ExtractEHR. 187 (85%) of 220 total comparisons in 22 adverse events in four AAML1031 and six AALL0923 courses were substantially higher with ExtractEHR than COG-reported adverse event rates for adverse events with a prevalence of at least 2%. INTERPRETATION ExtractEHR is scalable and accurately defines laboratory adverse event rates for paediatric acute leukaemia; moreover, ExtractEHR seems to detect higher rates of laboratory adverse events than those reported in COG trials. These rates can be used for comparisons between therapies and to counsel patients treated on or off trials about the risks of chemotherapy. ExtractEHR-based adverse event ascertainment can improve reporting of laboratory adverse events in clinical trials. FUNDING US National Institutes of Health, St Baldrick's Foundation, and Alex's Lemonade Stand Foundation.
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Affiliation(s)
- Tamara P Miller
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
| | - Kelly D Getz
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Yimei Li
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Biniyam G Demissei
- Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Peter C Adamson
- Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Todd A Alonzo
- Department of Pediatrics, University of Southern California, Los Angeles, CA, USA
| | - Evanette Burrows
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lusha Cao
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sharon M Castellino
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Marla H Daves
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Brian T Fisher
- Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Division of Infectious Diseases, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | | | - Robert W Grundmeier
- Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Edward M Krause
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Judy Lee
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Philip J Lupo
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Karen R Rabin
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Mark Ramos
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Michael E Scheurer
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Jennifer J Wilkes
- Divisions of Hematology and Oncology, Seattle Children's Hospital, Seattle, WA, USA; Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Lena E Winestone
- Division of AIBMT, Department of Pediatrics, UCSF Benioff Children's Hospitals, San Francisco, CA, USA
| | - Douglas S Hawkins
- Divisions of Hematology and Oncology, Seattle Children's Hospital, Seattle, WA, USA; Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - M Monica Gramatges
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Richard Aplenc
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
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Miller TP, Li Y, Masino AJ, Vallee E, Burrows E, Ramos M, Alonzo TA, Gerbing R, Castellino SM, Hawkins DS, Lash TL, Aplenc R, Grundmeier RW. Automated Ascertainment of Typhlitis From the Electronic Health Record. JCO Clin Cancer Inform 2022; 6:e2200081. [PMID: 36198128 PMCID: PMC9848554 DOI: 10.1200/cci.22.00081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/14/2022] [Accepted: 08/16/2022] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Adverse events (AEs) on Children's Oncology Group (COG) trials are manually ascertained using Common Terminology Criteria for Adverse Events. Despite significant effort, we previously demonstrated that COG typhlitis reporting sensitivity was only 37% when compared with gold standard physician chart abstraction. This study tested an automated typhlitis identification algorithm using electronic health record data. METHODS Electronic health record data from children with leukemia age 0-22 years treated at a single institution from 2006 to 2019 were included. Patients were divided into derivation and validation cohorts. Rigorous chart abstraction of validation cohort patients established a gold standard AE data set. We created an automated algorithm to identify typhlitis matching Common Terminology Criteria for Adverse Events v5 that included antibiotics, neutropenia, and non-negated mention of typhlitis in a note. We iteratively refined the algorithm using the derivation cohort and then applied the algorithm to the validation cohort; performance was compared with the gold standard. For patients on trial AAML1031, COG AE report performance was compared with the gold standard. RESULTS The derivation cohort included 337 patients. The validation cohort included 270 patients (961 courses). Chart abstraction identified 16 courses with typhlitis. The algorithm identified 37 courses with typhlitis; 13 were true positives (sensitivity 81.3%, positive predictive value 35.1%). For patients on AAML1031, chart abstraction identified nine courses with typhlitis, and COG reporting correctly identified 4 (sensitivity 44.4%, positive predictive value 100.0%). CONCLUSION The automated algorithm identified true cases of typhlitis with higher sensitivity than COG reporting. The algorithm identified false positives but reduced the number of courses needing manual review by 96% (961 to 37) by detecting potential typhlitis. This algorithm could provide a useful screening tool to reduce manual effort required for typhlitis AE reporting.
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Affiliation(s)
- Tamara P. Miller
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA
| | - Yimei Li
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Aaron J. Masino
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Emma Vallee
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Evanette Burrows
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Mark Ramos
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Sharon M. Castellino
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA
| | - Douglas S. Hawkins
- Division of Hematology/Oncology, Seattle Children's Hospital, Seattle, WA
- Department of Pediatrics, University of Washington, Seattle, WA
| | - Timothy L. Lash
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Richard Aplenc
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA
- Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Robert W. Grundmeier
- Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA
- Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA
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Gbadamosi MO, Shastri VM, Elsayed AH, Ries R, Olabige O, Nguyen NHK, De Jesus A, Wang YC, Dang A, Hirsch BA, Alonzo TA, Gamis A, Meshinchi S, Lamba JK. A ten-gene DNA-damage response pathway gene expression signature predicts gemtuzumab ozogamicin response in pediatric AML patients treated on COGAAML0531 and AAML03P1 trials. Leukemia 2022; 36:2022-2031. [PMID: 35688939 PMCID: PMC9357169 DOI: 10.1038/s41375-022-01622-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 05/17/2022] [Accepted: 05/27/2022] [Indexed: 02/03/2023]
Abstract
Gemtuzumab ozogamicin (GO) is an anti-CD33 monoclonal antibody linked to calicheamicin, a DNA damaging agent, and is a well-established therapeutic for treating acute myeloid leukemia (AML). In this study, we used LASSO regression modeling to develop a 10-gene DNA damage response gene expression score (CalDDR-GEx10) predictive of clinical outcome in pediatric AML patients treated with treatment regimen containing GO from the AAML03P1 and AAML0531 trials (ADE + GO arm, N = 301). When treated with ADE + GO, patients with a high CalDDR-GEx10 score had lower complete remission rates (62.8% vs. 85.5%, P = 1.7 7 * 10-5) and worse event-free survival (28.7% vs. 56.5% P = 4.08 * 10-8) compared to those with a low CalDDR-GEx10 score. However, the CalDDR-GEx10 score was not associated with clinical outcome in patients treated with standard chemotherapy alone (ADE, N = 242), implying the specificity of the CalDDR-GEx10 score to calicheamicin-induced DNA damage response. In multivariable models adjusted for risk group, FLT3-status, white blood cell count, and age, the CalDDR-GEx10 score remained a significant predictor of outcome in patients treated with ADE + GO. Our findings present a potential tool that can specifically assess response to calicheamicin-induced DNA damage preemptively via assessing diagnostic leukemic cell gene expression and guide clinical decisions related to treatment using GO.
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Affiliation(s)
- Mohammed O Gbadamosi
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Vivek M Shastri
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Abdelrahman H Elsayed
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Rhonda Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Oluwaseyi Olabige
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Nam H K Nguyen
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Angelica De Jesus
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | | | - Alice Dang
- COG Statistics and Data Center, Monrovia, CA, USA
| | | | - Todd A Alonzo
- COG Statistics and Data Center, Monrovia, CA, USA
- Biostatistics Division, University of Southern California, Los Angeles, CA, USA
| | - Alan Gamis
- Department of Hematology-Oncology, Children's Mercy Hospitals and Clinics, Kansas City, MO, USA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jatinder K Lamba
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, USA.
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30
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Eckstein OS, Allen CE, Williams PM, Roy-Chowdhuri S, Patton DR, Coffey B, Reid JM, Piao J, Saguilig L, Alonzo TA, Berg SL, Ramirez NC, Jaju A, Mhlanga J, Fox E, Hawkins DS, Mooney MM, Takebe N, Tricoli JV, Janeway KA, Seibel NL, Parsons DW. Phase II Study of Selumetinib in Children and Young Adults With Tumors Harboring Activating Mitogen-Activated Protein Kinase Pathway Genetic Alterations: Arm E of the NCI-COG Pediatric MATCH Trial. J Clin Oncol 2022; 40:2235-2245. [PMID: 35363510 PMCID: PMC9273373 DOI: 10.1200/jco.21.02840] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The NCI-COG Pediatric MATCH trial assigns patients age 1-21 years with relapsed or refractory solid tumors, lymphomas, and histiocytic disorders to phase II studies of molecularly targeted therapies on the basis of detection of predefined genetic alterations. Patients with tumors harboring mutations or fusions driving activation of the mitogen-activated protein kinase (MAPK) pathway were treated with the MEK inhibitor selumetinib. METHODS Patients received selumetinib twice daily for 28-day cycles until disease progression or intolerable toxicity. The primary end point was objective response rate; secondary end points included progression-free survival and tolerability of selumetinib. RESULTS Twenty patients (median age: 14 years) were treated. All were evaluable for response and toxicities. The most frequent diagnoses were high-grade glioma (HGG; n = 7) and rhabdomyosarcoma (n = 7). Twenty-one actionable mutations were detected: hotspot mutations in KRAS (n = 8), NRAS (n = 3), and HRAS (n = 1), inactivating mutations in NF1 (n = 7), and BRAF V600E (n = 2). No objective responses were observed. Three patients had a best response of stable disease including two patients with HGG (NF1 mutation, six cycles; KRAS mutation, 12 cycles). Six-month progression-free survival was 15% (95% CI, 4 to 34). Five patients (25%) experienced a grade 3 or higher adverse event that was possibly or probably attributable to study drug. CONCLUSION A national histology-agnostic molecular screening strategy was effective at identifying children and young adults eligible for treatment with selumetinib in the first Pediatric MATCH treatment arm to be completed. MEK inhibitors have demonstrated promising responses in some pediatric tumors (eg, low-grade glioma and plexiform neurofibroma). However, selumetinib in this cohort with treatment-refractory tumors harboring MAPK alterations demonstrated limited efficacy, indicating that pathway mutation status alone is insufficient to predict response to selumetinib monotherapy for pediatric cancers.
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Affiliation(s)
- Olive S. Eckstein
- Texas Children's Cancer and Hematology Centers, Baylor College of Medicine, Houston, TX
| | - Carl E. Allen
- Texas Children's Cancer and Hematology Centers, Baylor College of Medicine, Houston, TX,Carl E. Allen, MD, PhD, Texas Children's Cancer and Hematology Centers, Baylor College of Medicine, 1102 Bates Ave, Suite 1025, Houston, TX 77030; e-mail:
| | | | | | - David R. Patton
- Center for Biomedical Informatics and Information Technology, NCI, NIH, Bethesda, MD
| | - Brent Coffey
- Center for Biomedical Informatics and Information Technology, NCI, NIH, Bethesda, MD
| | | | - Jin Piao
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Todd A. Alonzo
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Stacey L. Berg
- Texas Children's Cancer and Hematology Centers, Baylor College of Medicine, Houston, TX
| | - Nilsa C. Ramirez
- Biopathology Center, Research Institute at Nationwide Children's Hospital, Columbus, OH
| | - Alok Jaju
- Ann and Robert H. Lurie Children's Hospital, Chicago, IL
| | - Joyce Mhlanga
- Washington University School of Medicine, St Louis, MO
| | | | | | - Margaret M. Mooney
- Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD
| | - Naoko Takebe
- Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD
| | - James V. Tricoli
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | | | - Nita L. Seibel
- Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD
| | - D. Williams Parsons
- Texas Children's Cancer and Hematology Centers, Baylor College of Medicine, Houston, TX
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31
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Pollard JA, Alonzo TA, Gerbing R, Brown P, Fox E, Choi J, Fisher B, Hirsch B, Kahwash S, Getz K, Levine J, Brodersen LE, Loken MR, Raimondi S, Tarlock K, Wood A, Sung L, Kolb EA, Gamis A, Meshinchi S, Aplenc R. Sorafenib in Combination With Standard Chemotherapy for Children With High Allelic Ratio FLT3/ITD+ Acute Myeloid Leukemia: A Report From the Children's Oncology Group Protocol AAML1031. J Clin Oncol 2022; 40:2023-2035. [PMID: 35349331 PMCID: PMC9197362 DOI: 10.1200/jco.21.01612] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 01/05/2022] [Accepted: 02/03/2022] [Indexed: 01/17/2023] Open
Abstract
PURPOSE High allelic ratio (HAR) FLT3/ITD (AR > 0.4) mutations confer poor prognosis in pediatric acute myeloid leukemia (AML). COG AAML1031 studied the feasibility and efficacy of adding sorafenib, a multikinase tyrosine kinase inhibitor to standard chemotherapy and as single-agent maintenance therapy in this population. MATERIALS AND METHODS Patients were treated in three cohorts. The initial safety phase defined the maximum tolerated dose of sorafenib starting in induction 2. Cohorts 2 and 3 added sorafenib in induction and as single-agent maintenance. Clinical outcome analysis was limited to n = 72 patients in cohorts 2/3 and compared with n = 76 HAR FLT3/ITD+ AML patients who received identical chemotherapy without sorafenib. Sorafenib pharmacokinetics and plasma inhibitory activity were measured in a subset of patients. RESULTS The maximum tolerated dose of sorafenib was 200 mg/m2 once daily; dose-limiting toxicities included rash (n = 2; 1 grade 3 and 1 grade 2), grade 2 hand-foot syndrome, and grade 3 fever. Pharmacokinetics/plasma inhibitory activity data demonstrated that measured plasma concentrations were sufficient to inhibit phosphorylated FLT3. Although outcomes were superior with sorafenib in cohorts 2 and 3, patients treated with sorafenib also underwent hematopoietic stem-cell transplant more frequently than the comparator population. Multivariable analysis that accounted for both hematopoietic stem-cell transplant and favorable co-occurring mutations confirmed sorafenib's benefit. Specifically, risk of an event was approximately two-fold higher in HAR FLT3/ITD+ patients who did not receive sorafenib (event-free survival from study entry: hazard ratio [HR] 2.37, 95% CI, 1.45 to 3.88, P < .001, disease-free survival from complete remission: HR 2.28, 95% CI, 1.08 to 4.82, P = .032, relapse risk from complete remission: HR 3.03, 95% CI 1.31 to 7.04, P = .010). CONCLUSION Sorafenib can be safely added to conventional AML chemotherapy and may improve outcomes in pediatric HAR FLT3/ITD+ AML.
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Affiliation(s)
- Jessica A. Pollard
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Todd A. Alonzo
- University of Southern California Keck School of Medicine, Los Angeles, CA
| | | | - Patrick Brown
- Johns Hopkins Kimmel Comprehensive Cancer Center, Baltimore, MD
| | | | - John Choi
- University of Alabama, Birmingham AL
| | - Brian Fisher
- Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Kelly Getz
- University of Pennsylvania, Department of Epidemiology, Biostatistics and Informatics, Philadelphia, PA
| | | | | | | | | | - Katherine Tarlock
- Fred Hutchinson Cancer Research Center, Seattle, WA
- Seattle Children's Hospital, University of Washington, Seattle, WA
| | - Andrew Wood
- University of Auckland, Auckland, New Zealand
| | | | | | - Alan Gamis
- Children's Mercy Hospital and Clinics, Kansas City, MO
| | - Soheil Meshinchi
- Fred Hutchinson Cancer Research Center, Seattle, WA
- Seattle Children's Hospital, University of Washington, Seattle, WA
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Robinson L, Leonti A, Alonzo TA, Wang YC, Redell MS, Ries RE, Smith JL, Hylkema TA, Le Q, Kolb EA, Aplenc R, Ma X, Klco J, Tarlock K, Meshinchi S. Abstract 3479: UBTF tandem duplications (UBTF-TD) in childhood AML: Enrichment in FLT3-ITD and association with clinical outcome. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Childhood AML is an aggressive disease with high rates of failures and poor survival. We have demonstrated that the molecular landscape of AML in children is distinct, and co-occurrence of variants modulate outcomes. Recent discovery of tandem duplication (TD) of the UBTF gene in AML, with enrichment in FLT3-ITD has implicated yet another mutation whose cooperation with FLT3-ITD may modify outcome. Here, we provide a comprehensive evaluation of UBTF-TD in de novo AML and define its clinical implications within FLT3-ITD patients. Initial interrogation of transcriptome data from 1,158 children enrolled on COG AAML1031 identified 50 cases of UBTF-TD (4.3%). Overwhelming majority of UBTF-TD cases were observed in FLT3-ITD cases (77%), vs. that of 1.2% in those without FLT3-ITD (p<0.001). Given extreme enrichment of UBTF-TD in FLT3-ITD, we inquired whether cooperation of UBTF-TD and FLT3-ITD creates a distinct clinical entity. To this end we screened diagnostic DNA from 400 FLT3-ITD patients treated on three consecutive CCG/COG trials (COG AAML1031, COG AAML0531, and CCG-2961) by PCR and fragment analysis. UBTF-TD was identified in 61 FLT3-ITD cases (15.3%).
The data presented here forth focuses on evaluation of implications of UBTF-TD in FLT3-ITD positive patients only. Within the FLT3-ITD patients, initial correlation of UBTF-TD with demographics, disease characteristics, and associated genomic variants was conducted. Patients with and without UBTF-TD had a similar median age at diagnosis (p=0.322), lower diagnostic WBC (p=0.010) and higher marrow blast % (p<0.001). There was a stark paucity of cooperating variants that commonly co-occur with FLT3-ITD, with a single NPM1 mutation (1.6% vs. 29%, p<0.001) and no NUP98 fusions (0% vs. 23%, p<0.001). There was a significant enrichment of WT1 mutations, with 45% UBTF-TD patients with a WT1 mutation (FLT3-ITD/UBTF-TD/WT1), vs. 11% in UBTF-WT (p<0.001). Trisomy 8 (Tri8) was seen in 15% of UBTF-TD. Patients with UBTF-TD had a lower CR rate (44% vs. 60%, p = 0.018), and Higher MRD rate (38% vs. 21%, p<0.001). Patients with and without UBTF-TD had an EFS of 28% vs. 42% (p=0.047) with a corresponding OS of 40% and 57% (p=0.019). Given enrichment of WT1 mutations and Tri8 in patients with UBTF-TD, we studied the outcome UBTF-TD patients in the context of these two variants. FLT3-ITD/UBTF-TD/WT1 patients had a 5-year EFS of 17% vs. 38% for similar patients without WT1 mutations (p=0.0062). Patients with UBTF-TD with additional Tri8 had a similarly poor outcome with an EFS of 23% with a corresponding OS of 33%, providing a distinct high risk UBTF-TD cohort (+WT1 or Tri8), whereas the remaining UBTF-TD patients had a more favorable outcome with EFS and OS of 64% and 86%, respectively (p<0.0001, and p<0.0001). UBTF-TD is a novel genomic entity with high enrichment in patients with FLT3-ITD and a distinct clinical outcome driven by cooperating WT1 mutation and Tri8.
Citation Format: Leila Robinson, Amanda Leonti, Todd A. Alonzo, Yi-Cheng Wang, Michele S. Redell, Rhonda E. Ries, Jenny L. Smith, Tiffany A. Hylkema, Quy Le, E Anders Kolb, Richard Aplenc, Xiaotu Ma, Jeffrey Klco, Katherine Tarlock, Soheil Meshinchi. UBTF tandem duplications (UBTF-TD) in childhood AML: Enrichment in FLT3-ITD and association with clinical outcome [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3479.
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Affiliation(s)
| | - Amanda Leonti
- 1Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | | | | | | | | | | | - Quy Le
- 1Fred Hutchinson Cancer Research Center, Seattle, WA
| | - E Anders Kolb
- 4Nemours Alfred I. duPont Hospital for Children, Wilmington, DE
| | | | - Xiaotu Ma
- 6St. Jude Children's Research Hospital, Memphis, TN
| | - Jeffrey Klco
- 1Fred Hutchinson Cancer Research Center, Seattle, WA
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Laurie KL, Lee P, Rademaker A, Alonzo TA, Wang YC, Powell BL, Wu D, Larson R, Kutny M, Gregory J, Hijiya N, Feusner J. Obesity in children with acute promyelocytic leukemia: What is its prevalence and prognostic significance? Pediatr Blood Cancer 2022; 69:e29613. [PMID: 35322524 PMCID: PMC9553282 DOI: 10.1002/pbc.29613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/19/2021] [Accepted: 12/04/2021] [Indexed: 11/10/2022]
Abstract
OBJECTIVE To compare outcomes of obese and nonobese pediatric patients with acute promyelocytic leukemia (APL) from the Cancer and Leukemia Group B trial (CALGB) 9710 and the Children's Oncology Group trial AAML0631. METHODS Data including demographics, adverse events, overall and event-free survival (EFS) were analyzed. RESULTS The prevalence of obesity was 34% on C9710 and 35% on AAML0631. There was significantly lower overall and EFS in the obese population on multivariable analysis on AAML0631 but not on CALGB 9710. Eleven patients died during therapy or in follow-up. CONCLUSION The prevalence of obesity is higher in pediatric patients with APL compared to the general population. The decreased EFS and OS in obese patients on AAML0631 suggest that the presence of obesity can influence outcomes using the most current treatment. These findings support the need for further research on the potential role of obesity in pediatric APL leukemogenesis.
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Affiliation(s)
- Kathryn L. Laurie
- Department of Pediatric Hematology/Oncology, Goryeb Children’s Hospital of Morristown Medical Center, Morristown, NJ
| | | | - Alfred Rademaker
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Todd A. Alonzo
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Yi-Cheng Wang
- Department of Biostatistics, University of Southern California, Los Angeles, CA
| | - Bayard L. Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC
| | - Diana Wu
- St. Jude Children’s Research Hospital, Memphis, TN
| | | | - Matthew Kutny
- Department of Pediatrics, Division of Hematology/Oncology, University of Alabama at Birmingham, Birmingham, AL
| | | | - Nobuko Hijiya
- Division of Hematology/Oncology/Stem Cell Transplant, Columbia University Medical Center, New York, NY
| | - James Feusner
- Division of Pediatric Hematology Oncology, Children’s Hospital & Research Center Oakland, Benioff Children’s Hospital Oakland, Oakland, CA
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Umeda M, Ma J, Huang BJ, Hagiwara K, Westover T, Abdelhamed S, Barajas JM, Thomas ME, Walsh MP, Song G, Tian L, Liu Y, Chen X, Kolekar P, Tran Q, Foy SG, Maciaszek JL, Kleist AB, Leonti AR, Ju B, Easton J, Wu H, Valentine V, Valentine MB, Liu YC, Ries RE, Smith JL, Parganas E, Iacobucci I, Hiltenbrand R, Miller J, Myers JR, Rampersaud E, Rahbarinia D, Rusch M, Wu G, Inaba H, Wang YC, Alonzo TA, Downing JR, Mullighan CG, Pounds S, Babu MM, Zhang J, Rubnitz JE, Meshinchi S, Ma X, Klco JM. Integrated Genomic Analysis Identifies UBTF Tandem Duplications as a Recurrent Lesion in Pediatric Acute Myeloid Leukemia. Blood Cancer Discov 2022; 3:194-207. [PMID: 35176137 PMCID: PMC9780084 DOI: 10.1158/2643-3230.bcd-21-0160] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 08/27/2021] [Accepted: 01/24/2022] [Indexed: 01/21/2023] Open
Abstract
The genetics of relapsed pediatric acute myeloid leukemia (AML) has yet to be comprehensively defined. Here, we present the spectrum of genomic alterations in 136 relapsed pediatric AMLs. We identified recurrent exon 13 tandem duplications (TD) in upstream binding transcription factor (UBTF) in 9% of relapsed AML cases. UBTF-TD AMLs commonly have normal karyotype or trisomy 8 with cooccurring WT1 mutations or FLT3-ITD but not other known oncogenic fusions. These UBTF-TD events are stable during disease progression and are present in the founding clone. In addition, we observed that UBTF-TD AMLs account for approximately 4% of all de novo pediatric AMLs, are less common in adults, and are associated with poor outcomes and MRD positivity. Expression of UBTF-TD in primary hematopoietic cells is sufficient to enhance serial clonogenic activity and to drive a similar transcriptional program to UBTF-TD AMLs. Collectively, these clinical, genomic, and functional data establish UBTF-TD as a new recurrent mutation in AML. SIGNIFICANCE We defined the spectrum of mutations in relapsed pediatric AML and identified UBTF-TDs as a new recurrent genetic alteration. These duplications are more common in children and define a group of AMLs with intermediate-risk cytogenetic abnormalities, FLT3-ITD and WT1 alterations, and are associated with poor outcomes. See related commentary by Hasserjian and Nardi, p. 173. This article is highlighted in the In This Issue feature, p. 171.
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Affiliation(s)
- Masayuki Umeda
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jing Ma
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Benjamin J. Huang
- Department of Pediatrics, University of California, Benioff Children's Hospital, San Francisco, California
| | - Kohei Hagiwara
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Tamara Westover
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Sherif Abdelhamed
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Juan M. Barajas
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Melvin E. Thomas
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Michael P. Walsh
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Guangchun Song
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Liqing Tian
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Xiaolong Chen
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Pandurang Kolekar
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Quang Tran
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Scott G. Foy
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jamie L. Maciaszek
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Andrew B. Kleist
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Amanda R. Leonti
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Bengsheng Ju
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - John Easton
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Huiyun Wu
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | | | - Yen-Chun Liu
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Rhonda E. Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jenny L. Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Evan Parganas
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Ilaria Iacobucci
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Ryan Hiltenbrand
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jonathan Miller
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jason R. Myers
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Evadnie Rampersaud
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Delaram Rahbarinia
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Michael Rusch
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Gang Wu
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Hiroto Inaba
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | - Todd A. Alonzo
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - James R. Downing
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Charles G. Mullighan
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Stanley Pounds
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - M. Madan Babu
- Department of Structural Biology and the Center for Data Driven Discovery, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jeffrey E. Rubnitz
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jeffery M. Klco
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
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35
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Parsons DW, Janeway KA, Patton DR, Winter CL, Coffey B, Williams PM, Roy-Chowdhuri S, Tsongalis GJ, Routbort M, Ramirez NC, Saguilig L, Piao J, Alonzo TA, Berg SL, Fox E, Hawkins DS, Abrams JS, Mooney M, Takebe N, Tricoli JV, Seibel NL. Actionable Tumor Alterations and Treatment Protocol Enrollment of Pediatric and Young Adult Patients With Refractory Cancers in the National Cancer Institute-Children's Oncology Group Pediatric MATCH Trial. J Clin Oncol 2022; 40:2224-2234. [PMID: 35353553 PMCID: PMC9273376 DOI: 10.1200/jco.21.02838] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
PURPOSE The National Cancer Institute-Children's Oncology Group Pediatric MATCH trial aimed to facilitate evaluation of molecular-targeted therapies in biomarker-selected cohorts of childhood and young adult patients with cancer by screening tumors for actionable alterations. PATIENTS AND METHODS Tumors from patients age 1-21 years with refractory solid tumors, lymphomas, or histiocytic disorders were subjected to cancer gene panel sequencing and limited immunohistochemistry to identify actionable alterations for assignment to phase II treatment arms. The rates of treatment arm assignment and enrollment were compared between clinical and demographic groups. RESULTS Testing was completed for 94.7% of tumors submitted. Actionable alterations were detected in 31.5% of the first 1,000 tumors screened, with treatment arm assignment and enrollment occurring in 28.4% and 13.1% of patients, respectively. Assignment rates varied by tumor histology and were higher for patients with CNS tumors or enrolled at Pediatric Early Phase Clinical Trials Network sites. A reported history of prior clinical molecular testing was associated with higher assignment and enrollment rates. Actionable alterations in the mitogen-activated protein kinase signaling pathway were most frequent (11.2%). The most common reasons provided for not enrolling on treatment arms were patients receiving other treatment or poor clinical status. CONCLUSION The Pediatric MATCH trial has proven the feasibility of a nationwide screening Protocol for identification of actionable genetic alterations and assignment of pediatric and young adult patients with refractory cancers to trials of molecularly targeted therapies. These data support the early use of tumor molecular screening for childhood patients with cancer whose tumors have not responded to standard treatments.
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Affiliation(s)
- D Williams Parsons
- Texas Children's Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | | | - David R Patton
- Center for Biomedical Informatics and Information Technology, NCI, NIH, Bethesda, MD
| | - Cynthia L Winter
- Center for Biomedical Informatics and Information Technology, NCI, NIH, Bethesda, MD
| | - Brent Coffey
- Center for Biomedical Informatics and Information Technology, NCI, NIH, Bethesda, MD
| | | | | | - Gregory J Tsongalis
- Geisel School of Medicine at Dartmouth, Hanover, NH.,Dartmouth Hitchcock Medical Center, Lebanon, NH
| | - Mark Routbort
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Nilsa C Ramirez
- Biopathology Center, Research Institute at Nationwide Children's Hospital, Columbus, OH
| | | | - Jin Piao
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Todd A Alonzo
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Stacey L Berg
- Texas Children's Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | | | - Douglas S Hawkins
- Seattle Children's Hospital and University of Washington, Seattle, WA
| | - Jeffrey S Abrams
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD
| | - Margaret Mooney
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD
| | - Naoko Takebe
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD
| | - James V Tricoli
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD
| | - Nita L Seibel
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD
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36
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Elsayed AH, Cao X, Mitra AK, Wu H, Raimondi S, Cogle C, Al-Mansour Z, Ribeiro RC, Gamis A, Kolb EA, Aplenc R, Alonzo TA, Meshinchi S, Rubnitz J, Pounds S, Lamba JK. Polygenic Ara-C Response Score Identifies Pediatric Patients With Acute Myeloid Leukemia in Need of Chemotherapy Augmentation. J Clin Oncol 2022; 40:772-783. [PMID: 34990262 PMCID: PMC8887949 DOI: 10.1200/jco.21.01422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
PURPOSE To establish a patient-specific polygenic score derived from cytarabine (ara-C) pathway pharmacogenomic evaluation to personalize acute myeloid leukemia (AML) treatment. MATERIALS AND METHODS Single nucleotide polymorphisms (SNPs) in the ara-C-pathway genes were analyzed with outcome in patients from the multicenter-AML02 trial (N = 166). Multi-SNP predictor modeling was used to develop 10-SNP Ara-C_SNP score (ACS10) using top SNPs predictive of minimal residual disease and event-free survival (EFS) from the AML02-cohort and four SNPs previously associated with ara-C triphosphate levels in the AML97 trial. ACS10 was evaluated for association with outcomes in each clinical trial arms: the standard low-dose ara-C (LDAC, n = 91) and augmented high-dose ara-C (HDAC, n = 75) arms of AML02 and the standard Ara-C, daunorubicin and etoposide (ADE) (n = 465) and the augmented ADE + gemtuzumab ozogamicin (GO; n = 466) arms of AAML0531 trial. RESULTS In the standard LDAC-arm of AML02 cohort, the low-ACS10 score group (≤ 0) had significantly worse EFS (ACS10 low v high hazard ratio [HR] = 2.81; 95% CI, 1.45 to 5.43; P = .002) and overall survival (OS; HR = 2.98; 95% CI, 1.32 to 6.75; P = .009) compared with the high-ACS10 group (score > 0). These results were validated in the standard-ADE arm of AAML0531, with poor outcome in the low-ASC10 group compared with the high-ACS10 group (EFS: HR = 1.35, 95% CI, 1.04 to 1.75, P = .026; OS: HR = 1.64, 95% CI, 1.2 to 2.22, P = .002). Within the augmented arms (AML02-HDAC and AAML0531-ADE + GO), EFS and OS did not differ between low- and high-ACS10 score groups. In both cohorts, patients with low-ACS10 consistently showed a 10-percentage point improvement in 5-year EFS with augmented therapy (AML02-HDAC or AAML0531-ADE + GO arms) than with standard therapy (AML02-LDAC or AAML0531-ADE arms). CONCLUSION Patients with low-ACS10 score experienced significantly poor outcome when treated on standard regimen. Augmentation with either high-dose ara-C or GO addition improved outcome in low-ACS10 group. A polygenic ACS10 score can identify patients with unfavorable pharmacogenetic characteristics and offers a potential for an elective augmented therapy option.
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Affiliation(s)
- Abdelrahman H. Elsayed
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL
| | - Xueyuan Cao
- Department of Acute and Tertiary Care, University of Tennessee Health Science Center, Memphis, TN
| | - Amit K. Mitra
- Department of Drug Discovery and Development, Harrison School of Pharmacy, Auburn University, Auburn, AL
| | - Huiyun Wu
- Department of Biostatistics, St Jude Children's Research Hospital, Memphis, TN
| | - Susana Raimondi
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN
| | | | | | - Raul C. Ribeiro
- Department of Oncology, St Jude Children's Research Hospital, Memphis, TN
| | - Alan Gamis
- Department of Hematology-Oncology, Children's Mercy Hospitals and Clinics, Kansas City, MO
| | | | - Richard Aplenc
- Division of Pediatric Oncology/Stem Cell Transplant, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Todd A. Alonzo
- COG Statistics and Data Center, Monrovia, CA,Biostatistics Division, University of Southern California, Los Angeles, CA
| | | | - Jeffrey Rubnitz
- Department of Oncology, St Jude Children's Research Hospital, Memphis, TN
| | - Stanley Pounds
- Department of Biostatistics, St Jude Children's Research Hospital, Memphis, TN
| | - Jatinder K. Lamba
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL,University of Florida Health Cancer Center, University of Florida, Gainesville, FL,Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL,Jatinder K. Lamba, PhD, Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Drive, Gainesville, FL 32608; e-mail:
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37
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van Dijk AD, Hoff FW, Qiu Y, Gerbing RB, Gamis AS, Aplenc R, Kolb EA, Alonzo TA, Meshinchi S, Jenkins G, de Bont ESJM, Kornblau SM, Horton TM. Bortezomib is significantly beneficial for de novo pediatric AML patients with low phosphorylation of the NF-κB subunit RelA. Proteomics Clin Appl 2022; 16:e2100072. [PMID: 34719869 PMCID: PMC9041833 DOI: 10.1002/prca.202100072] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/30/2021] [Accepted: 10/27/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE The addition of the proteasome inhibitor (PI) bortezomib to standard chemotherapy (ADE: cytarabine [Ara-C], daunorubicin, and etoposide) did not improve overall outcome of pediatric AML patients in the Children's Oncology Group AAML1031 phase 3 randomized clinical trial (AAML1031) . Bortezomib prevents protein degradation, including RelA via the intracellular NF-kB pathway. In this study, we hypothesized that subgroups of pediatric AML patients benefitting from standard therapy plus bortezomib (ADEB) could be identified based on pre-treatment RelA expression and phosphorylation status. EXPERIMENTAL DESIGN RelA-total and phosphorylation at serine 536 (RelA-pSer536 ) were measured in 483 patient samples using reverse phase protein array technology. RESULTS In ADEB-treated patients, low-RelA-pSer536 was favorably prognostic when compared to high-RelA-pSer536 (3-yr overall survival (OS): 81% vs. 68%, p = 0.032; relapse risk (RR): 30% vs. 49%, p = 0.004). Among low-RelA-pSer536 patients, RR significantly decreased with ADEB compared to ADE (RR: 30% vs. 44%, p = 0.035). Correlation between RelA-pSer536 and 295 other assayed proteins identified a strong correlation with HSF1-pSer326 , another protein previously identified as modifying ADEB response. The combination of low-RelA-pSer536 and low-HSF1-pSer326 was a significant predictor of ADEB response (3-yr OS: 86% vs. 67%, p = 0.013). CONCLUSION AND CLINICAL RELEVANCE Bortezomib may improve clinical outcome in a subgroup of AML patients identified by low-RelA-pSer536 and low-HSF1-pSer326 .
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Affiliation(s)
- Anneke D. van Dijk
- Divison of Pediatric Oncology/Hematology, Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Fieke W. Hoff
- Divison of Pediatric Oncology/Hematology, Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Yihua Qiu
- Department of Leukemia, The University of Texas M.D. Anderson Cancer Center, Houston, TX
| | | | - Alan S. Gamis
- Department of Hematology-Oncology, Children’s Mercy Hospitals and Clinics, Kansas City, MO
| | - Richard Aplenc
- Division of Pediatric Oncology/Stem Cell Transplant, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Todd A. Alonzo
- Keck School of Medicine, University of Southern California, CA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Gaye Jenkins
- Department of Pediatrics, Baylor College of Medicine/Dan L. Duncan Cancer Center and Texas Children’s Cancer Center, Houston, Texas
| | - Eveline S. J. M. de Bont
- Divison of Pediatric Oncology/Hematology, Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Steven M. Kornblau
- Department of Leukemia, The University of Texas M.D. Anderson Cancer Center, Houston, TX
| | - Terzah M. Horton
- Department of Pediatrics, Baylor College of Medicine/Dan L. Duncan Cancer Center and Texas Children’s Cancer Center, Houston, Texas
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38
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Lamble AJ, Eidenschink Brodersen L, Alonzo TA, Wang J, Pardo L, Sung L, Cooper TM, Kolb EA, Aplenc R, Tasian SK, Loken MR, Meshinchi S. CD123 Expression Is Associated With High-Risk Disease Characteristics in Childhood Acute Myeloid Leukemia: A Report From the Children's Oncology Group. J Clin Oncol 2022; 40:252-261. [PMID: 34855461 PMCID: PMC8769096 DOI: 10.1200/jco.21.01595] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
PURPOSE Increased CD123 surface expression has been associated with high-risk disease characteristics in adult acute myeloid leukemia (AML), but has not been well-characterized in childhood AML. In this study, we defined CD123 expression and associated clinical characteristics in a uniformly treated cohort of pediatric patients with newly diagnosed AML enrolled on the Children's Oncology Group AAML1031 phase III trial (NCT01371981). MATERIALS AND METHODS AML blasts within diagnostic bone marrow specimens (n = 1,040) were prospectively analyzed for CD123 protein expression by multidimensional flow cytometry immunophenotyping at a central clinical laboratory. Patients were stratified as low-risk or high-risk on the basis of (1) leukemia-associated cytogenetic and molecular alterations and (2) end-of-induction measurable residual disease levels. RESULTS The study population was divided into CD123 expression-based quartiles (n = 260 each) for analysis. Those with highest CD123 expression (quartile 4 [Q4]) had higher prevalence of high-risk KMT2A rearrangements and FLT3-ITD mutations (P < .001 for both) and lower prevalence of low-risk t(8;21), inv(16), and CEBPA mutations (P < .001 for all). Patients in lower CD123 expression quartiles (Q1-3) had similar relapse risk, event-free survival, and overall survival. Conversely, Q4 patients had a significantly higher relapse risk (53% v 39%, P < .001), lower event-free survival (49% v 69%, P < .001), and lower overall survival (32% v 50%, P < .001) in comparison with Q1-3 patients. CD123 maintained independent significance for outcomes when all known contemporary high-risk cytogenetic and molecular markers were incorporated into multivariable Cox regression analysis. CONCLUSION CD123 is strongly associated with disease-relevant cytogenetic and molecular alterations in childhood AML. CD123 is a critical biomarker and promising immunotherapeutic target for children with relapsed or refractory AML, given its prevalent expression and enrichment in patients with high-risk genetic alterations and inferior clinical outcomes with conventional therapy.
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Affiliation(s)
- Adam J. Lamble
- Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA,Adam J. Lamble, MD, University of Washington–Seattle Children's Hospital, M/S MB.8.501, PO Box 5371, Seattle, WA 98145-5005; e-mail:
| | | | - Todd A. Alonzo
- Children's Oncology Group, Monrovia, CA,University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Jim Wang
- Children's Oncology Group, Monrovia, CA
| | | | - Lillian Sung
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, CA
| | - Todd M. Cooper
- Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA
| | - E. Anders Kolb
- Division of Oncology, Nemours/Alfred I. Dupont Hospital for Children, Wilmington, DE
| | - Richard Aplenc
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sarah K. Tasian
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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39
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Hoff FW, Van Dijk AD, Qiu Y, Hu CW, Ries RE, Ligeralde A, Jenkins GN, Gerbing RB, Gamis AS, Aplenc R, Kolb EA, Alonzo TA, Meshinchi S, Qutub AA, De Bont ESJM, Horton TM, Kornblau SM. Clinical relevance of proteomic profiling in de novo pediatric acute myeloid leukemia: a Children's Oncology Group study. Haematologica 2022; 107:2329-2343. [PMID: 35021602 PMCID: PMC9521248 DOI: 10.3324/haematol.2021.279672] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Indexed: 11/23/2022] Open
Abstract
Pediatric acute myeloid leukemia (AML) remains a fatal disease for at least 30% of patients, stressing the need for improved therapies and better risk stratification. As proteins are the unifying feature of (epi)genetic and environmental alterations, and are often targeted by novel chemotherapeutic agents, we studied the proteomic landscape of pediatric AML. Protein expression and activation levels were measured in 500 bulk leukemic patients’ samples and 30 control CD34+ cell samples, using reverse phase protein arrays with 296 strictly validated antibodies. The multistep MetaGalaxy analysis methodology was applied and identified nine protein expression signatures (PrSIG), based on strong recurrent protein expression patterns. PrSIG were associated with cytogenetics and mutational state, and with favorable or unfavorable prognosis. Analysis based on treatment (i.e., ADE vs. ADE plus bortezomib) identified three PrSIG that did better with ADE plus bortezomib than with ADE alone. When PrSIG were studied in the context of cytogenetic risk groups, PrSIG were independently prognostic after multivariate analysis, suggesting a potential value for proteomics in combination with current classification systems. Proteins with universally increased (n=7) or decreased (n=17) expression were observed across PrSIG. Certain proteins significantly differentially expressed from normal could be identified, forming a hypothetical platform for personalized medicine.
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Affiliation(s)
- Fieke W Hoff
- Department of Pediatric Oncology/Hematology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Anneke D Van Dijk
- Department of Pediatric Oncology/Hematology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Yihua Qiu
- Department of Leukemia, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Chenyue W Hu
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Rhonda E Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | | | - Gaye N Jenkins
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Alan S Gamis
- Department of Hematology-Oncology, Children's Mercy Hospitals and Clinics, Kansas City, MO, USA
| | - Richard Aplenc
- Division of Pediatric Oncology/Stem Cell Transplant, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Emory University, Atlanta GA, USA
| | - Todd A Alonzo
- University of Southern California, Los Angeles, CA, USA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Amina A Qutub
- Department of Biomedical Engineering, The University of Texas at San Antonio, USA
| | - Eveline S J M De Bont
- Department of Pediatric Oncology/Hematology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Terzah M Horton
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Steven M Kornblau
- Department of Leukemia, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
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40
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Getz KD, Alonzo TA, Sung L, Meshinchi S, Gerbing RB, Raimondi S, Hirsch B, Loken M, Brodersen LE, Kahwash S, Choi J, Kolb EA, Gamis A, Aplenc R. Cytarabine dose reduction in patients with low-risk acute myeloid leukemia: A report from the Children's Oncology Group. Pediatr Blood Cancer 2022; 69:e29313. [PMID: 34472213 PMCID: PMC8919970 DOI: 10.1002/pbc.29313] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/09/2021] [Accepted: 08/14/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND The optimal number of chemotherapy courses for low-risk (LR) pediatric acute myeloid leukemia (AML) is not known. OBJECTIVE To compare outcomes for four (21.6 g/m2 cytarabine) versus five (45.6 g/m2 cytarabine) chemotherapy courses for LR-AML using data from Children's Oncology Group (COG) AAML0531 and AAML1031. METHODS We compared relapse risk (RR), disease-free survival (DFS), and overall survival (OS), and the differential impact in LR subgroups for patients receiving four versus five chemotherapy courses. Cox (OS and DFS) and risk (RR) regressions were used to estimate hazard ratios (HR) to compare outcomes. RESULTS A total of 923 LR-AML patients were included; 21% received five courses. Overall, LR-AML patients who received four courses had higher RR (40.9% vs. 31.4%; HR = 1.40, 95% confidence interval [CI]: 1.06-1.85), and worse DFS (56.0% vs. 67.0%; HR = 1.45, 95% CI: 1.10-1.91). There was a similar decrement in OS though it was not statistically significant (77.0% vs. 83.5%; HR = 1.45, 95% CI: 0.97-2.17). Stratified analyses revealed the detrimental effects of cytarabine dose de-escalation to be most pronounced in the LR-AML subgroup with uninformative cytogenetic/molecular features who were minimal residual disease (MRD) negative after the first induction course (EOI1). The absolute decrease in DFS with four courses for patients with favorable cytogenetic/molecular features and positive MRD was similar to that observed for patients with uninformative cytogenetic/molecular features and negative MRD at EOI1, though not statistically significant. CONCLUSIONS Our results support de-escalation of cytarabine exposure through the elimination of a fifth chemotherapy course only for LR-AML patients who have both favorable cytogenetic/molecular features and negative MRD after the first induction cycle.
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Affiliation(s)
- Kelly D. Getz
- Children’s Hospital of Philadelphia, Division of Oncology, Philadelphia, Pennsylvania, USA,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Todd A. Alonzo
- University of Southern California, Los Angeles, California, USA
| | - Lillian Sung
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Soheil Meshinchi
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | | | - Susana Raimondi
- St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Betsy Hirsch
- University of Minnesota, Minneapolis, Minnesota, USA
| | | | | | | | - John Choi
- St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - E. Anders Kolb
- Alfred I. duPont Hospital for Children, Wilmington, Delaware, USA
| | - Alan Gamis
- Children’s Mercy Hospital and Clinics, Kansas City, Missouri, USA
| | - Richard Aplenc
- Children’s Hospital of Philadelphia, Division of Oncology, Philadelphia, Pennsylvania, USA,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Youn M, Smith SM, Lee AG, Chae HD, Spiteri E, Erdmann J, Galperin I, Jones LM, Donato M, Abidi P, Bittencourt H, Lacayo N, Dahl G, Aftandilian C, Davis KL, Matthews JA, Kornblau SM, Huang M, Sumarsono N, Redell MS, Fu CH, Chen IM, Alonzo TA, Eklund E, Gotlib J, Khatri P, Sweet-Cordero EA, Hijiya N, Sakamoto KM. Comparison of the Transcriptomic Signatures in Pediatric and Adult CML. Cancers (Basel) 2021; 13:cancers13246263. [PMID: 34944883 PMCID: PMC8699058 DOI: 10.3390/cancers13246263] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/07/2021] [Accepted: 12/08/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary To investigate whether pediatric and adult chronic myeloid leukemia (CML) have unique molecular characteristics, we studied the transcriptomic signature of pediatric and adult CML cells using high-throughput RNA sequencing. We identified differentially expressed genes and pathways unique to pediatric CML cells compared to adult CML cells. The Rho pathway was significantly dysregulated in pediatric CML cells compared to adult CML cells, suggesting the potential importance in the pathogenesis of pediatric CML. Our study is the first to compare transcriptome profiles of CML across different age groups. A better understanding of the biology of CML across different ages may inform future treatment approaches. Abstract Children with chronic myeloid leukemia (CML) tend to present with higher white blood counts and larger spleens than adults with CML, suggesting that the biology of pediatric and adult CML may differ. To investigate whether pediatric and adult CML have unique molecular characteristics, we studied the transcriptomic signature of pediatric and adult CML CD34+ cells and healthy pediatric and adult CD34+ control cells. Using high-throughput RNA sequencing, we found 567 genes (207 up- and 360 downregulated) differentially expressed in pediatric CML CD34+ cells compared to pediatric healthy CD34+ cells. Directly comparing pediatric and adult CML CD34+ cells, 398 genes (258 up- and 140 downregulated), including many in the Rho pathway, were differentially expressed in pediatric CML CD34+ cells. Using RT-qPCR to verify differentially expressed genes, VAV2 and ARHGAP27 were significantly upregulated in adult CML CD34+ cells compared to pediatric CML CD34+ cells. NCF1, CYBB, and S100A8 were upregulated in adult CML CD34+ cells but not in pediatric CML CD34+ cells, compared to healthy controls. In contrast, DLC1 was significantly upregulated in pediatric CML CD34+ cells but not in adult CML CD34+ cells, compared to healthy controls. These results demonstrate unique molecular characteristics of pediatric CML, such as dysregulation of the Rho pathway, which may contribute to clinical differences between pediatric and adult patients.
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Affiliation(s)
- Minyoung Youn
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Stephanie M. Smith
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Alex Gia Lee
- Department of Pediatrics, University of California, San Francisco, CA 94143, USA; (A.G.L.); (E.A.S.-C.)
| | - Hee-Don Chae
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Elizabeth Spiteri
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA;
- Cytogenetics Laboratory, Stanford Health Care, Stanford, CA 94304, USA; (J.E.); (I.G.)
| | - Jason Erdmann
- Cytogenetics Laboratory, Stanford Health Care, Stanford, CA 94304, USA; (J.E.); (I.G.)
| | - Ilana Galperin
- Cytogenetics Laboratory, Stanford Health Care, Stanford, CA 94304, USA; (J.E.); (I.G.)
| | - Lara Murphy Jones
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA 94305, USA; (M.D.); (P.K.)
| | - Michele Donato
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA 94305, USA; (M.D.); (P.K.)
- Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA
| | - Parveen Abidi
- Division of Hematology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; (P.A.); (J.G.)
| | - Henrique Bittencourt
- Hematology-Oncology Division, Charles Bruneau Cancer Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC H3T 1C5, Canada;
| | - Norman Lacayo
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Gary Dahl
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Catherine Aftandilian
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Kara L. Davis
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Jairo A. Matthews
- Department of Leukemia, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA; (J.A.M.); (S.M.K.)
| | - Steven M. Kornblau
- Department of Leukemia, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA; (J.A.M.); (S.M.K.)
| | - Min Huang
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Nathan Sumarsono
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
| | - Michele S. Redell
- Division of Pediatric Hematology/Oncology, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Cecilia H. Fu
- Division of Hematology/Oncology, Children’s Hospital Los Angeles, Los Angeles, CA 90027, USA;
| | - I-Ming Chen
- Department of Pathology, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM 87102, USA;
| | - Todd A. Alonzo
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90032, USA;
| | - Elizabeth Eklund
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA;
| | - Jason Gotlib
- Division of Hematology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; (P.A.); (J.G.)
| | - Purvesh Khatri
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA 94305, USA; (M.D.); (P.K.)
- Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA
| | | | - Nobuko Hijiya
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY 10032, USA;
| | - Kathleen M. Sakamoto
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.Y.); (S.M.S.); (H.-D.C.); (L.M.J.); (N.L.); (G.D.); (C.A.); (K.L.D.); (M.H.); (N.S.)
- Correspondence: ; Tel.: +1-650-725-7126; Fax: +1-650-723-6700
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Elgarten CW, Wood AC, Li Y, Alonzo TA, Brodersen LE, Gerbing RB, Getz KD, Huang YSV, Loken M, Meshinchi S, Pollard JA, Sung L, Woods WG, Kolb EA, Gamis AS, Aplenc R. Outcomes of intensification of induction chemotherapy for children with high-risk acute myeloid leukemia: A report from the Children's Oncology Group. Pediatr Blood Cancer 2021; 68:e29281. [PMID: 34596937 PMCID: PMC8717610 DOI: 10.1002/pbc.29281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/15/2021] [Accepted: 07/26/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND High-risk pediatric acute myeloid leukemia confers a poor prognosis, and alternative strategies are needed to improve outcomes. We hypothesized that intensifying induction on the AAML1031 clinical trial would improve outcomes compared to the predecessor trial AAML0531. METHODS Patients on AAML0531 received cytarabine (1600 mg/m2 )/daunorubicin (150 mg/m2 )/etoposide (ADE) for induction II and patients on AAML1031 received mitoxantrone (48 mg/m2 )/cytarabine (8000 mg/m2 ) (MA). Stem cell transplant (SCT) conditioning included busulfan/cyclophosphamide on AAML0531, whereas AAML1031 used busulfan/fludarabine and liberalized donor eligibility. Patients were included in this analysis if they met high-risk criteria common to the two trials by cytogenics or poor disease response after induction I ADE. RESULTS MA provided no benefit over ADE at: induction II response (complete response [CR]: 64% vs. 62%, p = .87; measurable residual disease [MRD]+: 57% vs. 46%, p = .34); or intensification I response (CR: 79% vs. 94%, p = .27; MRD+: 27% vs. 20%, p = 1.0). When considered with altered SCT approach, MA did not improve 5-year disease-free survival (24% ± 9% vs. 18% ± 15%, p = .63) or 5-year overall survival (35% ± 10% vs. 38% ± 18%, p = .66). MA was associated with slower neutrophil recovery (median 34 vs. 27 days, p = .007) and platelet recovery (median 29 vs. 24.5 days, p = .04) and longer hospital stay (32 vs. 28 days, p = .01) during induction II. CONCLUSION Intensification of induction II did not improve treatment response or survival, but did increase toxicity and resource utilization. Alternative strategies are urgently needed to improve outcomes for pediatric patients with high-risk acute myeloid leukemia (trials registered at clinicaltrials.gov NCT01371981, NCT00372593).
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Affiliation(s)
- Caitlin W. Elgarten
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | | | - Yimei Li
- Department of Biostatistics, Epidemiology, and Informatics, Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Todd A. Alonzo
- University of Southern California, Los Angeles, California, USA
| | | | | | - Kelly D. Getz
- Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Department of Biostatistics, Epidemiology, and Informatics, Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Y-S Vera Huang
- Department of Biomedical Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | | | - Soheil Meshinchi
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Jessica A. Pollard
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA,Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Lillian Sung
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - William G. Woods
- Aflac Cancer and Blood Disorders Center, Emory University/Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - E. Anders Kolb
- Alfred I.duPont Hospital for Children, Wilmington, Delaware, USA
| | - Alan S. Gamis
- Children’s Mercy Hospital and Clinics, Kansas City, Missouri, USA
| | - Richard Aplenc
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Department of Biostatistics, Epidemiology, and Informatics, Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Kutny MA, Alonzo TA, Abla O, Rajpurkar M, Gerbing RB, Wang YC, Hirsch BA, Raimondi S, Kahwash S, Hardy KK, Hardy S, Meshinchi S, Gamis AS, Kolb EA, Feusner JH, Gregory J. Assessment of Arsenic Trioxide and All-trans Retinoic Acid for the Treatment of Pediatric Acute Promyelocytic Leukemia: A Report From the Children's Oncology Group AAML1331 Trial. JAMA Oncol 2021; 8:79-87. [PMID: 34762093 DOI: 10.1001/jamaoncol.2021.5206] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance All-trans retinoic acid (ATRA) and arsenic trioxide therapy without the use of maintenance therapy has been found to be beneficial for the treatment of adults with standard-risk acute promyelocytic leukemia (APL). However, it is unclear whether similar regimens are safe and beneficial for the treatment of high-risk APL or pediatric patients with standard-risk APL. Objective To assess whether treatment with an ATRA and arsenic trioxide-based regimen is safe and allows for the elimination or substantial reduction of chemotherapy use among pediatric patients with standard-risk or high-risk APL, respectively. Design, Setting, and Participants The Children's Oncology Group AAML1331 study is a nonrandomized, noninferiority trial that examined survival outcomes among 154 pediatric patients with APL compared with a historical control group of patients with APL from the AAML0631 study. Patients aged 1 to 21 years were enrolled at 85 pediatric oncology centers (members of the Children's Oncology Group) in Australia, Canada, and the US from June 29, 2015, to May 7, 2019, with follow-up until October 31, 2020. All patients had newly diagnosed APL and were stratified into standard-risk APL (white blood cell count <10 000/μL) and high-risk APL (white blood cell count ≥10 000/μL) cohorts. Interventions All patients received ATRA and arsenic trioxide continuously during induction therapy and intermittently during 4 consolidation cycles. Patients with high-risk APL received 4 doses of idarubicin during induction therapy only. The duration of therapy was approximately 9 months, and no maintenance therapy was administered. Main Outcomes and Measures Event-free survival (EFS) at 2 years after diagnosis. Results Among 154 patients (median age, 14.4 years [range, 1.1-21.7 years]; 81 male participants [52.6%]) included in the analysis, 98 patients (63.6%) had standard-risk APL, and 56 patients (36.4%) had high-risk APL. The median follow-up duration was 24.7 months (range, 0-49.5 months) for patients with standard-risk APL and 22.8 months (range, 0-47.7 months) for patients with high-risk APL. Patients with standard-risk APL had a 2-year EFS rate of 98.0% and an overall survival rate of 99.0%; adverse events included 1 early death during induction therapy and 1 relapse. Patients with high-risk APL had a 2-year EFS rate of 96.4% and an overall survival rate of 100%; adverse events included 2 relapses and 0 deaths. These outcomes met predefined noninferiority criteria (noninferiority margin of 10% among those with standard-risk APL and 14.5% among those with high-risk APL). Conclusions and Relevance In this nonrandomized, noninferiority trial, pediatric patients with standard-risk APL who received treatment with a chemotherapy-free ATRA and arsenic trioxide regimen experienced positive outcomes. Patients with high-risk APL also had positive outcomes when treated with a novel ATRA and arsenic trioxide-based regimen that included 4 doses of idarubicin during induction therapy only and no maintenance therapy. The 2-year EFS estimates were noninferior to the historical comparator group, and advantages of the regimen included shorter treatment duration, lower exposure to anthracycline and intrathecal chemotherapy, and fewer days hospitalized. Trial Registration ClinicalTrials.gov Identifier: NCT02339740.
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Affiliation(s)
- Matthew A Kutny
- Division of Hematology/Oncology, Department of Pediatrics, University of Alabama at Birmingham, Birmingham
| | - Todd A Alonzo
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles
| | - Oussama Abla
- Division of Hematology/Oncology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Madhvi Rajpurkar
- Pediatric Hematology/Oncology, Wayne State University, Detroit, Michigan
| | | | | | - Betsy A Hirsch
- Division of Laboratory Medicine, University of Minnesota Medical Center-Fairview, Minneapolis
| | - Susana Raimondi
- Department of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Samir Kahwash
- Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, Ohio
| | - Kristina K Hardy
- Division of Behavioral Medicine/Neuropsychology, Children's National Medical Center, Washington, District of Columbia
| | - Steven Hardy
- Division of Behavioral Medicine/Neuropsychology, Children's National Medical Center, Washington, District of Columbia
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Alan S Gamis
- Division of Hematology/Oncology, Children's Mercy Hospital and Clinics, Kansas City, Missouri
| | - Edward A Kolb
- Division of Pediatric Hematology/Oncology, Nemours/Alfred I. DuPont Hospital for Children, Wilmington, Delaware
| | - James H Feusner
- Division of Hematology/Oncology, Benioff Children's Hospital Oakland, Oakland, California
| | - John Gregory
- Division of Pediatric Hematology/Oncology, Atlantic Health System, Goryeb Children's Hospital, Morristown, New Jersey
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Tarlock K, Lamble AJ, Wang YC, Gerbing RB, Ries RE, Loken MR, Brodersen LE, Pardo L, Leonti A, Smith JL, Hylkema TA, Woods WG, Cooper TM, Kolb EA, Gamis AS, Aplenc R, Alonzo TA, Meshinchi S. CEBPA-bZip mutations are associated with favorable prognosis in de novo AML: a report from the Children's Oncology Group. Blood 2021; 138:1137-1147. [PMID: 33951732 PMCID: PMC8570058 DOI: 10.1182/blood.2020009652] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 02/03/2021] [Indexed: 11/20/2022] Open
Abstract
Biallelic CEBPA mutations are associated with favorable outcomes in acute myeloid leukemia (AML). We evaluated the clinical and biologic implications of CEBPA-basic leucine zipper (CEBPA-bZip) mutations in children and young adults with newly diagnosed AML. CEBPA-bZip mutation status was determined in 2958 patients with AML enrolled on Children's Oncology Group trials (NCT00003790, NCT0007174, NCT00372593, NCT01379181). Next-generation sequencing (NGS) was performed in 1863 patients (107 with CEBPA mutations) to characterize the co-occurring mutations. CEBPA mutational status was correlated with disease characteristics and clinical outcomes. CEBPA-bZip mutations were identified in 160 (5.4%) of 2958 patients, with 132 (82.5%) harboring a second CEBPA mutation (CEBPA-double-mutated [CEBPA-dm]) and 28 (17.5%) had a single CEBPA-bZip only mutation. The clinical and laboratory features of the 2 CEBPA cohorts were very similar. Patients with CEBPA-dm and CEBPA-bZip experienced identical event-free survival (EFS) of 64% and similar overall survival (OS) of 81% and 89%, respectively (P = .259); this compared favorably to EFS of 46% and OS of 61% in patients with CEBPA-wild-type (CEBPA-WT) (both P < .001). Transcriptome analysis demonstrated similar expression profiles for patients with CEBPA-bZip and CEBPA-dm. Comprehensive NGS of patients with CEBPA mutations identified co-occurring CSF3R mutations in 13.1% of patients and GATA2 mutations in 21.5% of patients. Patients with dual CEBPA and CSF3R mutations had an EFS of 17% vs 63% for patients with CEBPA-mutant or CSF3R-WT (P < .001) with a corresponding relapse rate (RR) of 83% vs 22%, respectively (P < .001); GATA2 co-occurrence did not have an impact on outcome. CEBPA-bZip domain mutations are associated with favorable clinical outcomes, regardless of monoallelic or biallelic status. Co-occurring CSF3R and CEBPA mutations are associated with a high RR that nullifies the favorable prognostic impact of CEBPA mutations.
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Affiliation(s)
- Katherine Tarlock
- Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Adam J Lamble
- Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA
| | | | | | - Rhonda E Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | | | | | - Amanda Leonti
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jenny L Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Tiffany A Hylkema
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - William G Woods
- Aflac Cancer, Children's Healthcare of Atlanta, Emory University, Atlanta, GA
| | - Todd M Cooper
- Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA
| | - E Anders Kolb
- Nemours/Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Alan S Gamis
- Children's Mercy Hospital and Clinics, Kansas City, MO
| | - Richard Aplenc
- The Children's Hospital of Philadelphia, Philadelphia, PA; and
| | - Todd A Alonzo
- Children's Oncology Group, Monrovia, CA
- University of Southern California Keck School of Medicine, Los Angeles, CA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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Kerlavage AR, Kirchhoff AC, Guidry Auvil JM, Sharpless NE, Davis KL, Reilly K, Reaman G, Penberthy L, Deapen D, Hwang A, Durbin EB, Gallotto SL, Aplenc R, Volchenboum SL, Heath AP, Aronow BJ, Zhang J, Vaske O, Alonzo TA, Nathan PC, Poynter JN, Armstrong G, Hahn EE, Wernli KJ, Greene C, DiGiovanna J, Resnick AC, Shalley ER, Nadaf S, Kibbe WA. Cancer Informatics for Cancer Centers: Scientific Drivers for Informatics, Data Science, and Care in Pediatric, Adolescent, and Young Adult Cancer. JCO Clin Cancer Inform 2021; 5:881-896. [PMID: 34428097 PMCID: PMC8763339 DOI: 10.1200/cci.21.00040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/11/2021] [Accepted: 06/10/2021] [Indexed: 11/29/2022] Open
Abstract
Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute's Childhood Cancer Data Initiative.
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Affiliation(s)
- Anthony R Kerlavage
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD
| | - Anne C Kirchhoff
- Huntsman Cancer Institute and University of Utah, School of Medicine, Salt Lake City, UT
| | - Jaime M Guidry Auvil
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD
| | | | - Kara L Davis
- Maternal and Child Health Research Institute, Stanford School of Medicine, Stanford, CA
| | - Karlyne Reilly
- Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Gregory Reaman
- Center for Drug Evaluation and Research, Food and Drug Administration, Bethesda, MD
| | - Lynne Penberthy
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
| | - Dennis Deapen
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Amie Hwang
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Eric B Durbin
- University of Kentucky, Markey Cancer Center, Lexington, KY
| | | | | | | | | | | | | | - Olena Vaske
- University of California, Santa Cruz, Santa Cruz, CA
| | - Todd A Alonzo
- University of Southern California, Keck School of Medicine, Los Angeles, CA
| | | | - Jenny N Poynter
- University of Minnesota, Masonic Cancer Center, Minneapolis, MN
| | | | - Erin E Hahn
- Kaiser Permanente Southern California, Los Angeles, CA
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
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Alfaro K, Maza M, Felix JC, Gage JC, Castle PE, Alonzo TA, Chacón A, González E, Soler M, Conzuelo-Rodriguez G, Masch R, Cremer M. Outcomes for Step-Wise Implementation of a Human Papillomavirus Testing-Based Cervical Screen-and-Treat Program in El Salvador. JCO Glob Oncol 2021; 6:1519-1530. [PMID: 33064628 PMCID: PMC7605377 DOI: 10.1200/go.20.00206] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
PURPOSE The Cervical Cancer Prevention in El Salvador (CAPE) project is a public-sector intervention introducing lower-cost human papillomavirus (HPV) testing in all four departments of the Paracentral region that screened a total of 28,015 women. After demonstrating success of an HPV screen-and-treat (S&T) algorithm over colposcopy management in the first two phases, the third phase scaled up the S&T strategy. We present results from phase III and evaluate S&T components across the entire project. METHODS During phase III, 17,965 women age 30-59 years underwent HPV testing. HPV-positive women were asked to return and, if eligible, received gas-based cryotherapy. We compare loss to follow-up and time intervals between S&T steps across the three phases. RESULTS There were no differences in HPV positivity across phases (phase I, 11.9%; phase II, 11.4%; phase III, 12.3%; P = .173). Although most HPV-positive women completed indicated follow-up procedures within 6 months in phases I (93.3%, 111 of 119) and II (92.3%, 429 of 465), this proportion declined to 74.9% (1,659 of 2,214; P < .001) in phase III. Mean days between testing and delivery of results to patients increased over program phases (phase I, 23.2 days; phase II, 46.7 days; phase III, 99.8 days; P < .001). CONCLUSION A public-sector implementation of an HPV-based S&T algorithm was successfully scaled up in El Salvador, albeit with losses in efficiency. After CAPE, the Ministry of Health changed its screening guidelines and procured additional tests to expand the program.
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Affiliation(s)
- Karla Alfaro
- Basic Health International, San Salvador, El Salvador and New York, NY
| | - Mauricio Maza
- Basic Health International, San Salvador, El Salvador and New York, NY
| | - Juan C Felix
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI
| | - Julia C Gage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Philip E Castle
- Division of Cancer Prevention and Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH/DHHS, Rockville, MD
| | - Todd A Alonzo
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Andrea Chacón
- Unidad de Cáncer, Ministerio de Salud República de El Salvador, San Salvador, El Salvador
| | - Enrique González
- Unidad de Cáncer, Ministerio de Salud República de El Salvador, San Salvador, El Salvador
| | - Montserrat Soler
- Ob/Gyn & Women's Health Institute, Cleveland Clinic, Cleveland, OH
| | | | - Rachel Masch
- Basic Health International, San Salvador, El Salvador and New York, NY
| | - Miriam Cremer
- Basic Health International, San Salvador, El Salvador and New York, NY.,Ob/Gyn & Women's Health Institute, Cleveland Clinic, Cleveland, OH
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O'Brien MM, Alonzo TA, Cooper TM, Levine JE, Brown PA, Slone T, August KJ, Benettaib B, Biserna N, Poon J, Patturajan M, Chen N, Simcock M, Zimmerman L, Kolb EA. Results of a phase 2, multicenter, single-arm, open-label study of lenalidomide in pediatric patients with relapsed or refractory acute myeloid leukemia. Pediatr Blood Cancer 2021; 68:e28946. [PMID: 33694257 DOI: 10.1002/pbc.28946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/08/2021] [Accepted: 01/14/2021] [Indexed: 11/11/2022]
Abstract
BACKGROUND Outcomes after relapse remain poor in pediatric patients with acute myeloid leukemia (AML), and new therapeutic approaches are needed. Lenalidomide has demonstrated activity in adults with lower risk myelodysplastic syndromes and older adults with relapsed or refractory (R/R) AML. METHODS In this phase 2 study (NCT02538965), pediatric patients with R/R AML who received two or more prior therapies were treated with lenalidomide (starting dose 2 mg/kg/day on days 1-21 of each 28-day cycle) for a maximum of 12 cycles. The primary endpoint was rate of complete response (CR) and CR with incomplete blood count recovery (CRi) within the first four cycles. RESULTS Seventeen patients enrolled and received one or more dose of lenalidomide. Median age was 12 years (range 5-18 years), median white blood cell count was 3.7 × 109 /L, and median peripheral blood blast count was 1.0 × 109 /L. One patient (5.9%) with a complex karyotype including del(5q) achieved CRi after two cycles of lenalidomide. This responder proceeded to a second hematopoietic stem cell transplantation and has remained without evidence of disease for 3 years. All patients experienced one or more of grades 3-4 treatment-emergent adverse event (TEAE). The most common grades 3-4 TEAEs were thrombocytopenia (58.8%), febrile neutropenia (47.1%), anemia (41.2%), and hypokalemia (41.2%). CONCLUSIONS In this population of pediatric patients with R/R AML, safety data were consistent with the known safety profile of lenalidomide. As only one patient responded, further evaluation of lenalidomide at the dose and schedule studied is not warranted in pediatric AML, with the possible exception of patients with del(5q).
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Affiliation(s)
- Maureen M O'Brien
- Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Todd A Alonzo
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Todd M Cooper
- Seattle Children's Cancer and Blood Disorders Center, University of Washington, Seattle, Washington, USA
| | - John E Levine
- Bone Marrow and Stem Cell Transplantation Program, Mount Sinai School of Medicine, New York, New York, USA
| | | | - Tamra Slone
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Keith J August
- Children's Mercy Hospital Kansas City, Kansas City, Missouri, USA
| | | | - Noha Biserna
- Formerly Bristol Myers Squibb, Princeton, New Jersey, USA
| | | | | | | | - Mathew Simcock
- Celgene Ltd., a Bristol-Myers Squibb Company, Uxbridge, UK
| | | | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. duPont Hospital for Children, Wilmington, Delaware, USA
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48
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Scollon S, Plon SE, Joffe S, Biegel JA, Kulkarni S, Miles G, Patton D, Coffey B, Williams PM, Tsongalis GJ, Routbort MJ, Gastier-Foster JM, Saguilig L, Piao J, Alonzo TA, Janeway KA, Adamson PC, Mooney M, Tricoli JV, Seibel NL, Parsons DW. Abstract 631: Germline cancer predisposition results from the National Cancer Institute - Children's Oncology Group (NCI-COG) Pediatric MATCH Trial. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Although genomic changes identified by clinical tumor sequencing may be present in the germline, precision oncology trials have generally not incorporated germline testing and reporting. We describe our experience with clinical reporting of matched tumor and germline results from the NCI-COG Pediatric Molecular Analysis for Therapy Choice (MATCH) trial (NCT03155620).
Design/Method: Patients age 1 to 21 years old with treatment-refractory solid tumors, non-Hodgkin lymphomas, or histiocytic disorders were eligible. DNA and RNA extracted from FFPE tumors were sequenced using Oncomine Assay v.3 with reporting of potentially actionable fusions, amplifications, and mutations, including loss of function variants in tumor suppressor genes. Germline reporting focused on 36 genes from the same DNA panel that convey adult or pediatric cancer susceptibility but does not include all cancer susceptibility genes (e.g. APC, DICER1). Deletions and splice site variants were not reported.
Results: As of June 2020, 1009 patients had been enrolled from 132 COG sites, with tumor and germline testing complete for 868 patients to date. Overall, 62 (7.1%) germline reports included a pathogenic or likely pathogenic germline variant (termed germline findings) in 18 cancer susceptibility genes. This frequency was similar in patients with solid tumors (46/633, 7.3%), CNS tumors (14/204, 6.9%), and lymphomas/histiocytoses (2/31, 6.5%). Variant(s) of potential germline significance were identified in 25% of tumor reports; of these, 74% (163/221) had no germline findings. The proportion of germline findings for genes with >10 reported tumor variants varied: 32% (7/22) in NF1, 25% (3/12) in RB1, 16% (17/108) in TP53 and 0% in ALK (0/21) and PTEN (0/12). Of note, 82% (14/17) of tumor variants in breast cancer susceptibility genes (BRCA1/2, CHEK2 and PALB2) had germline findings. On study intake forms, 25% of patients with germline findings had a “known genetic disease” reported. Oncologists caring for patients with a germline finding were then queried about prior knowledge of a genetic diagnosis. Of 24 respondents, 13 (54%) reported no prior molecular diagnosis of the identified condition.
Conclusions: Coordinated germline and tumor testing revealed clinically relevant cancer susceptibility variants across a spectrum of genes in 7% of pediatric patients with treatment-refractory cancers. This is likely an underestimate of germline findings given test limitations. The parallel tumor/normal reporting approach minimized the need for targeted reflex genetic testing in 19% of study participants and provided new information on cancer susceptibility in germline positive patients to half of the responding oncologists. The NCI-COG Pediatric MATCH trial reporting process can serve as a model for precision oncology trials and clinical tumor profiling.
Citation Format: Sarah Scollon, Sharon E. Plon, Steven Joffe, Jaclyn A. Biegel, Shashikant Kulkarni, George Miles, David Patton, Brent Coffey, Paul M. Williams, Gregory J. Tsongalis, Mark J. Routbort, Julie M. Gastier-Foster, Lauren Saguilig, Jin Piao, Todd A. Alonzo, Katherine A. Janeway, Peter C. Adamson, Margaret Mooney, James V. Tricoli, Nita L. Seibel, Donald W. Parsons. Germline cancer predisposition results from the National Cancer Institute - Children's Oncology Group (NCI-COG) Pediatric MATCH Trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 631.
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Affiliation(s)
| | | | - Steven Joffe
- 2Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | | | | | | | - Brent Coffey
- 5Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Paul M. Williams
- 5Frederick National Laboratory for Cancer Research, Frederick, MD
| | | | | | | | | | - Jin Piao
- 9University of Southern California, Los Angeles, CA
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49
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Pollard JA, Guest E, Alonzo TA, Gerbing RB, Loken MR, Brodersen LE, Kolb EA, Aplenc R, Meshinchi S, Raimondi SC, Hirsch B, Gamis AS. Gemtuzumab Ozogamicin Improves Event-Free Survival and Reduces Relapse in Pediatric KMT2A-Rearranged AML: Results From the Phase III Children's Oncology Group Trial AAML0531. J Clin Oncol 2021; 39:3149-3160. [PMID: 34048275 DOI: 10.1200/jco.20.03048] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
PURPOSE We investigated the impact of the CD33-targeted agent gemtuzumab ozogamicin (GO) on survival in pediatric patients with KMT2A-rearranged (KMT2A-r) acute myeloid leukemia (AML) enrolled in the Children's Oncology Group trial AAML0531 (NCT01407757). METHODS Patients with KMT2A-r AML were identified and clinical characteristics described. Five-year overall survival (OS), event-free survival (EFS), disease-free survival (DFS), and relapse risk (RR) were determined overall and for higher-risk versus not high-risk translocation partners. GO's impact on response was determined and outcomes based on consolidation approach (hematopoietic stem cell transplant [HSCT] v chemotherapy) described. RESULTS Two hundred fifteen (21%) of 1,022 patients enrolled had KMT2A-r AML. Five-year EFS and OS from study entry were 38% and 58%, respectively. EFS was superior with GO treatment (EFS 48% with GO v 29% without, P = .003), although OS was comparable (63% v 53%, P = .054). For patients with KMT2A-r AML who achieved complete remission, GO was associated with lower RR (40% GO v 66% patients who did not receive GO [No-GO], P = .001) and improved 5-year DFS (GO 57% v No-GO 33%, P = .002). GO benefit was observed in both higher-risk and not high-risk KMT2A-r subsets. For patients who underwent HSCT, prior GO exposure was associated with decreased relapse (5-year RR: 28% GO and HSCT v 73% No-GO and HSCT, P = .006). In multivariable analysis, GO was independently associated with improved EFS, improved DFS, and reduced RR. CONCLUSION GO added to conventional chemotherapy improved outcomes for KMT2A-r AML; consolidation with HSCT may further enhance outcomes. Future clinical trials should study CD33-targeted agents in combination with HSCT for pediatric KMT2A-r AML.
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Affiliation(s)
- Jessica A Pollard
- Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA.,Department of Pediatrics, Harvard Medical School, Boston, MA
| | | | - Todd A Alonzo
- University of Southern California Keck School of Medicine, Los Angeles, CA.,Children's Oncology Group, Monrovia, CA
| | | | | | | | | | | | - Soheil Meshinchi
- Fred Hutchinson Cancer Research Center, Seattle, WA.,University of Washington School of Medicine, Seattle, WA
| | | | - Betsy Hirsch
- University of Minnesota Cancer Center, Minneapolis, MN
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50
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Narayanan P, Man TK, Gerbing RB, Ries R, Stevens AM, Wang YC, Long X, Gamis AS, Cooper T, Meshinchi S, Alonzo TA, Redell MS. Aberrantly low STAT3 and STAT5 responses are associated with poor outcome and an inflammatory gene expression signature in pediatric acute myeloid leukemia. Clin Transl Oncol 2021; 23:2141-2154. [PMID: 33948920 PMCID: PMC8390401 DOI: 10.1007/s12094-021-02621-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/07/2021] [Indexed: 12/19/2022]
Abstract
The relapse rate for children with acute myeloid leukemia is nearly 40% despite aggressive chemotherapy and often stem cell transplant. We sought to understand how environment-induced signaling responses are associated with clinical response to treatment. We previously reported that patients whose AML cells showed low G-CSF-induced STAT3 activation had inferior event-free survival compared to patients with stronger STAT3 responses. Here, we expanded the paradigm to evaluate multiple signaling parameters induced by a more physiological stimulus. We measured STAT3, STAT5 and ERK1/2 responses to G-CSF and to stromal cell-conditioned medium for 113 patients enrolled on COG trials AAML03P1 and AAML0531. Low inducible STAT3 activity was independently associated with inferior event-free survival in multivariate analyses. For inducible STAT5 activity, those with the lowest and highest responses had inferior event-free survival, compared to patients with intermediate STAT5 responses. Using existing RNA-sequencing data, we compared gene expression profiles for patients with low inducible STAT3/5 activation with those for patients with higher inducible STAT3/5 signaling. Genes encoding hematopoietic factors and mitochondrial respiratory chain subunits were overexpressed in the low STAT3/5 response groups, implicating inflammatory and metabolic pathways as potential mechanisms of chemotherapy resistance. We validated the prognostic relevance of individual genes from the low STAT3/5 response signature in a large independent cohort of pediatric AML patients. These findings provide novel insights into interactions between AML cells and the microenvironment that are associated with treatment failure and could be targeted for therapeutic interventions.
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Affiliation(s)
- P Narayanan
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - T-K Man
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - R B Gerbing
- Children's Oncology Group, Monrovia, CA, USA
| | - R Ries
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - A M Stevens
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Y-C Wang
- Children's Oncology Group, Monrovia, CA, USA
| | - X Long
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - A S Gamis
- Children's Mercy Hospital and Clinics, Kansas, MO, USA
| | - T Cooper
- Seattle Children's Hospital, Seattle, WA, USA
| | - S Meshinchi
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - T A Alonzo
- Children's Oncology Group, Monrovia, CA, USA.,Division of Biostatistics, University of Southern California, Los Angeles, CA, USA
| | - M S Redell
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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