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de Camargo Magalhães ES, Hubner SE, Brown BD, Qiu Y, Kornblau SM. Proteomics for optimizing therapy in acute myeloid leukemia: venetoclax plus hypomethylating agents versus conventional chemotherapy. Leukemia 2024; 38:1046-1056. [PMID: 38531950 DOI: 10.1038/s41375-024-02208-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/28/2024]
Abstract
The use of Hypomethylating agents combined with Venetoclax (VH) for the treatment of Acute Myeloid Leukemia (AML) has greatly improved outcomes in recent years. However not all patients benefit from the VH regimen and a way to rationally select between VH and Conventional Chemotherapy (CC) for individual AML patients is needed. Here, we developed a proteomic-based triaging strategy using Reverse-phase Protein Arrays (RPPA) to optimize therapy selection. We evaluated the expression of 411 proteins in 810 newly diagnosed adult AML patients, identifying 109 prognostic proteins, that divided into five patient expression profiles, which are useful for optimizing therapy selection. Furthermore, using machine learning algorithms, we determined a set of 14 proteins, among those 109, that were able to accurately recommend therapy, making it feasible for clinical application. Next, we identified a group of patients who did not benefit from either VH or CC and proposed target-based approaches to improve outcomes. Finally, we calculated that the clinical use of our proteomic strategy would have led to a change in therapy for 30% of patients, resulting in a 43% improvement in OS, resulting in around 2600 more cures from AML per year in the United States.
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Affiliation(s)
| | - Stefan Edward Hubner
- John Sealy School of Medicine, The University of Texas Medical Branch at Galveston, Galveston, TX, 77555, USA
| | - Brandon Douglas Brown
- Division of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030-4009, USA
| | - Yihua Qiu
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030-4009, USA
| | - Steven Mitchell Kornblau
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030-4009, USA.
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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] [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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Pogosova-Agadjanyan EL, Hua X, Othus M, Appelbaum FR, Chauncey TR, Erba HP, Fitzgibbon MP, Jenkins IC, Fang M, Lee SC, Moseley A, Naru J, Radich JP, Smith JL, Willborg BE, Willman CL, Wu F, Meshinchi S, Stirewalt DL. Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients. Biomark Res 2023; 11:31. [PMID: 36927800 PMCID: PMC10022072 DOI: 10.1186/s40364-023-00461-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/30/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Studies have not systematically compared the ability to verify performance of prognostic transcripts in paired bulk mononuclear cells versus viable CD34-expressing leukemic blasts from patients with acute myeloid leukemia. We hypothesized that examining the homogenous leukemic blasts will yield different biological information and may improve prognostic performance of expression biomarkers. METHODS To assess the impact of cellular heterogeneity on expression biomarkers in acute myeloid leukemia, we systematically examined paired mononuclear cells and viable CD34-expressing leukemic blasts from SWOG diagnostic specimens. After enrichment, patients were assigned into discovery and validation cohorts based on availability of extracted RNA. Analyses of RNA sequencing data examined how enrichment impacted differentially expressed genes associated with pre-analytic variables, patient characteristics, and clinical outcomes. RESULTS Blast enrichment yielded significantly different expression profiles and biological pathways associated with clinical characteristics (e.g., cytogenetics). Although numerous differentially expressed genes were associated with clinical outcomes, most lost their prognostic significance in the mononuclear cells and blasts after adjusting for age and ELN risk, with only 11 genes remaining significant for overall survival in both cell populations (CEP70, COMMD7, DNMT3B, ECE1, LNX2, NEGR1, PIK3C2B, SEMA4D, SMAD2, TAF8, ZNF444). To examine the impact of enrichment on biomarker verification, these 11 candidate biomarkers were examined by quantitative RT/PCR in the validation cohort. After adjusting for ELN risk and age, expression of 4 genes (CEP70, DNMT3B, ECE1, and PIK3CB) remained significantly associated with overall survival in the blasts, while none met statistical significance in mononuclear cells. CONCLUSIONS This study provides insights into biological information gained/lost by examining viable CD34-expressing leukemic blasts versus mononuclear cells from the same patient and shows an improved verification rate for expression biomarkers in blasts.
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Affiliation(s)
- Era L Pogosova-Agadjanyan
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Xing Hua
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Megan Othus
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Frederick R Appelbaum
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA
| | - Thomas R Chauncey
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA
- VA Puget Sound Health Care System, Seattle, WA, USA
| | | | | | - Isaac C Jenkins
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Clinical Biostatistics, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Min Fang
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Stanley C Lee
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Anna Moseley
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jasmine Naru
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Jerald P Radich
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA
| | - Jenny L Smith
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Brooke E Willborg
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Cheryl L Willman
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Rochester, MN, USA
| | - Feinan Wu
- Bioinformatics Shared Resource, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Derek L Stirewalt
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA.
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA.
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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] [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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Araújo LGL, Rodrigues VP, Silva MML, Azevedo GCA, Monteiro PDM, Ferreira JMS, Sousa HMD. Perfil Demográfico e Clínico de Casos de Neoplasias Hematológicas em Crianças e Adolescentes. REVISTA BRASILEIRA DE CANCEROLOGIA 2022. [DOI: 10.32635/2176-9745.rbc.2022v68n2.2356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Introdução: As neoplasias hematológicas são importantes causas de morte na infância e adolescência. Objetivo: Caracterizar o perfil demográfico e clínico de casos notificados de neoplasias hematológicas em crianças e adolescentes em um hospital de referência do município de São Luís, Maranhão, Brasil. Método: Estudo observacional retrospectivo com dados coletados de prontuários médicos de casos de neoplasias hematológicas em pacientes com idade até 19 anos registrados em um hospital público de referência para tratamento oncológico, no período de 2005 a 2015. Foram coletados dados de caracterização geral dos pacientes e dados do seguimento do tratamento. Os testes qui-quadrado e exato de Fisher foram utilizados na análise estatística. O nível de significância adotado foi de 5% (p<0,05). Resultados: Os casos de óbito foram mais elevados nos pacientes diagnosticados com linfoma não Hodgkin. A maioria dos pacientes com leucemia linfoide era do sexo masculino com idade até 5 anos, e a frequência de óbito nos pacientes com leucemia linfoide foi mais baixa nos casos confirmados de leucemia linfoblástica de células precursoras tipo B em comparação a outras categorias. Conclusão: Os achados sugerem que a maioria dos pacientes com até 19 anos diagnosticados com leucemia linfoide era do sexo masculino e com idade até 5 anos.
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Hoff FW, Horton TM, Kornblau SM. Reverse phase protein arrays in acute leukemia: investigative and methodological challenges. Expert Rev Proteomics 2021; 18:1087-1097. [PMID: 34965151 PMCID: PMC9148717 DOI: 10.1080/14789450.2021.2020655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/16/2021] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Acute leukemia results from a series of mutational events that alter cell growth and proliferation. Mutations result in protein changes that orchestrate growth alterations characteristic of leukemia. Proteomics is a methodology appropriate for study of protein changes found in leukemia. The high-throughput reverse phase protein array (RPPA) technology is particularly well-suited for the assessment of protein changes in samples derived from clinical trials. AREAS COVERED This review discusses the technical, methodological, and analytical issues related to the successful development of acute leukemia RPPAs. EXPERT COMMENTARY To obtain representative protein sample lysates, samples should be prepared from freshly collected blood or bone marrow material. Variables such as sample shipment, transit time, and holding temperature only have minimal effects on protein expression. CellSave preservation tubes are preferred for cells collected after exposure to chemotherapy, and incorporation of standardized guidelines for antibody validation is recommended. A more systematic biological approach to analyze protein expression is desired, searching for recurrent patterns of protein expression that allow classification of patients into risk groups, or groups of patients that may be treated similarly. Comparing RPPA protein analysis between cell lines and primary samples shows that cell lines are not representative of patient proteomic patterns.
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Affiliation(s)
- Fieke W. Hoff
- Department of Internal Medicine, UT Southwestern Medical Center, TX, USA
| | - 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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