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Suárez EU, Boluda B, Lavilla E, Tormo M, Botella C, Gil C, Vives S, Rodríguez C, Serrano J, Sayas MJ, Martínez-Sánchez P, Ramos F, Bernal T, Algarra L, Bergua-Burgues JM, Pérez-Simón JA, Herrera P, Barrios M, Noriega-Concepción V, Raposo-Puglia JA, Ayala R, Barragán E, Martínez-Cuadrón D, Amigo ML, López-Lorenzo JL, Lázaro-García A, Guimaraes JE, Colorado M, García-Boyero R, De Rueda-Ciller B, Foncillas-García M, Hong A, Labrador J, Alonso-Dominguez JM, Montesinos P. Do NPM1 and FLT3-ITD mutations modify prognosis in patients treated with non-intensive regimens? Ann Hematol 2024; 103:2845-2851. [PMID: 38884787 DOI: 10.1007/s00277-024-05840-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/08/2024] [Indexed: 06/18/2024]
Abstract
FLT3-ITD and NPM1 mutations are key to defining the genetic risk profile of acute myeloid leukemia (AML). We aimed to assess the prognostic features of the FLT3-ITD and NPM1 mutations in old and/or unfit individuals with AML treated with non-intensive therapies in the era before azacitidine-venetoclax approbation. The results of various non-intensive regimens were also compared. We conducted a retrospective analysis that included patients treated with different non-intensive regimens, between 2007 and 2020 from PETHEMA AML registry. We compiled 707 patients with a median age of 74 years and median follow-up time of 37.7 months. FLT3-ITD patients (N = 98) showed a non-significant difference in overall survival (OS) compared to FLT3-ITD negative-patients (N = 608) (P = 0.17, median OS was 5 vs 7.3 months respectively). NPM1-mutated patients (N = 144) also showed a non-significant difference with NPM1 wild type (N = 519) patients (P = 0.25, median OS 7.2 vs 6.8 respectively). In the Cox regression analysis neither NPM1 nor FLT3-ITD nor age were significant prognostic variables for OS prediction. Abnormal karyotype and a high leukocyte count showed a statistically significant deleterious effect. Azacitidine also showed better survival compared to FLUGA (low dose cytarabine plus fludarabine). NPM1 and FLT3-ITD seem to lack prognostic value in older/unfit AML patients treated with non-intensive regimens other than azacitidine-venetoclax combination.
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Affiliation(s)
- E U Suárez
- Hospital Universitario Fundación Jiménez Díaz, IIS-FJD, Madrid, Spain
| | - B Boluda
- Hospital Universitari I Politécnic-IIS La Fe, Valencia, Spain
| | - E Lavilla
- Hospital Universitario Lucus Augusti, Lugo, Spain
| | - M Tormo
- Hospital Clínico Universitario de Valencia, Valencia, Spain
- INCLIVA, Valencia, Spain
| | - C Botella
- Hospital General Universitario de Alicante, Alicante, Spain
| | - C Gil
- Hospital General Universitario de Alicante, Alicante, Spain
| | - S Vives
- ICO-Hospital Germans Trias I Pujol, Badalona, Spain
| | - C Rodríguez
- Hospital Universitario Dr Negrín, Las Palmas, Spain
| | - J Serrano
- Hospital Universitario Reina Sofía, Córdoba, Spain
- IMIBIC, Córdoba, Spain
| | - M J Sayas
- Hospital Universitario Dr. Peset, Valencia, Spain
| | | | - F Ramos
- Hospital Universitario de León, León, Spain
| | - T Bernal
- Hospital Universitario Central de Asturias, Oviedo, Spain
| | - L Algarra
- Hospital Universitario General de Albacete, Albacete, Spain
| | | | - J A Pérez-Simón
- Hospital Universitario Virgen del Rocío, Seville, Spain
- Instituto de Biomedicina de Sevilla (IBIS)/CSIC/Universidad de Sevilla, Seville, Spain
| | - P Herrera
- Hospital Universitario Puerta de Hierro, Majadahonda, Spain
| | - M Barrios
- Hospital Regional Universitario de Málaga, Málaga, Spain
| | | | | | - R Ayala
- Haematological Malignancies Clinical Research Unit, Hospital 12 de Octubre Universidad Complutense, CNIO, CIBERONC, Madrid, Spain
- Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - E Barragán
- Hospital Universitari I Politécnic-IIS La Fe, Valencia, Spain
| | | | - M L Amigo
- Hospital General Universitario Morales Meseguer, Murcia, Spain
| | - J L López-Lorenzo
- Hospital Universitario Fundación Jiménez Díaz, IIS-FJD, Madrid, Spain
| | - A Lázaro-García
- Hospital Universitario Fundación Jiménez Díaz, IIS-FJD, Madrid, Spain
| | | | - M Colorado
- Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - R García-Boyero
- Hospital General Universitario de Castellón, Castellón de La Plana, Spain
| | | | | | - A Hong
- Hospital Universitario Doctor José Molina Orosa, Arrecife, Spain
| | - J Labrador
- Hospital Universitario de Burgos, Burgos, Spain
| | | | - P Montesinos
- Hospital Universitari I Politécnic-IIS La Fe, Valencia, Spain
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2
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Shi Y, Chen X, Jin H, Zhu L, Hong M, Zhu Y, Wu Y, Qiu H, Wang Y, Sun Q, Jin H, Li J, Qian S, Qiao C. Clinical prognostic value of different NPM1 mutations in acute myeloid leukemia patients. Ann Hematol 2024; 103:2323-2335. [PMID: 38722387 DOI: 10.1007/s00277-024-05786-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 04/29/2024] [Indexed: 05/24/2024]
Abstract
BACKGROUND Acute myeloid leukemia (AML) patients with various nucleophosmin 1 (NPM1) mutations are controversial in the prognosis. This study aimed to investigate the prognosis of patients according to types of NPM1 mutations (NPM1mut). METHODS Bone marrow samples of 528 patients newly diagnosed with AML, were collected for morphology, immunology, cytogenetics, and molecular biology examinations. Gene mutations were detected by next-generation sequencing (NGS) technology. RESULTS About 25.2% of cases exhibited NPM1mut. 83.5% of cases were type A, while type B and D were respectively account for 2.3% and 3.0%. Furthermore, 15 cases of rare types were identified, of which 2 cases have not been reported. Clinical characteristics were similar between patients with A-type NPM1 mutations (NPM1A - type mut) and non-A-type NPM1 mutations (NPM1non - A-type mut). Event-free survival (EFS) was significantly different between patients with low NPM1non - A-type mut variant allele frequency (VAF) and low NPM1A - type mut VAF (median EFS = 3.9 vs. 8.5 months, P = 0.020). The median overall survival (OS) of the NPM1non - A-type mutFLT3-ITDmut group, the NPM1A - type mutFLT3-ITDmut group, the NPM1non - A-type mutFLT3-ITDwt group, and the NPM1A - type mutFLT3-ITDwt group were 3.9, 10.7, 17.3 and 18.8 months, while the median EFS of the corresponding groups was 1.4, 5.0, 7.6 and 9.2 months (P < 0.0001 and P = 0.004, respectively). CONCLUSIONS No significant difference was observed in OS and EFS between patients with NPM1A - type mut and NPM1non - A-type mut. However, types of NPM1 mutations and the status of FLT3-ITD mutations may jointly have an impact on the prognosis of AML patients.
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Affiliation(s)
- Yu Shi
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Xiao Chen
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Huimin Jin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Liying Zhu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Ming Hong
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yu Zhu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yujie Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Hairong Qiu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yan Wang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Qian Sun
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Hui Jin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Jianyong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Sixuan Qian
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
| | - Chun Qiao
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
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Zaiema SEGE, Hafez HM. Unpredicted transformation of acute myeloid leukemia with translocation (16;16) (p13; q22): a case report and review of the literature. THE EGYPTIAN JOURNAL OF INTERNAL MEDICINE 2024; 36:28. [DOI: https:/doi.org/10.1186/s43162-024-00295-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/25/2024] [Indexed: 04/02/2024] Open
Abstract
Abstract
Introduction
The transformation of acute myeloid leukemia with translocation (16;16) (p13; q22) from AML M2 to acute monocytic leukemia (AML M5) during therapy is a rare clinical occurrence, and this is the first time it has been reported.
Clinical complain
A 19-year-old male patient was admitted for severe fatigue with anemic manifestation and weight loss, for more than 1 month, with exacerbation of the condition in the last 2 days.
Diagnosis
A primary diagnosis was made for AML M2 with t (16;16) (p13; q22) established on bone marrow (BM) morphology. A consequential detection of FLT-3 ITD mutation was done. At day 28 follow-up after induction and maintenance therapy, the diagnosis of AML M2 was maintained with a high bone marrow (BM) blast count, prompting the initiation of a more aggressive treatment protocol. After 1 month of implementing the recent protocol, the patient remains morphologically resistant with a notable transformation of bone marrow infiltration by an abnormal monocytic population (monoblasts and promonocytes). The final diagnosis of transforming FLT3-mutated AML with t (16;16) (p13; q22) was established.
Intervention
After the initial diagnosis of AML M2 with t (16;16) (p13; q22), the patient received the 3 + 7 induction protocol. The 2nd induction protocol initiated after the second evaluation and morphological resistance was the FLAG Adrian protocol. The 3rd protocol after transformation to AML M5 was 1 cycle of the MEC protocol. Anti-FLT3 treatment was considered.
Outcomes
The patient was maintained on the 3rd protocol of chemotherapy. Unfortunately, he was admitted to the ICU unit complaining of neutropenic fever and severe sepsis where he died before final re-evaluation and the anti-FLT3 treatment initiation.
Conclusion
AML with t (16;16) (p13; q22) characterized by favorable outcome. However, identifying additional chromosome abnormality or genetic aberration, especially FLT3 gene mutation, is recognized as an important factor influencing final disease outcome. Therefore, early detection of FLT3 mutations will allow comprehensive disease course prediction and targeted therapy that might achieve longer and more durable remissions.
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4
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Kwentoh I, Bugayong ML, Olusoji R, McPherson T, Ahluwalia M. Rare Ring Chromosome [r(15)]: Cytogenetic Abnormality in TP53-Mutated De Novo AML-M4 Masked as Gastrointestinal Bleed With Rapidly Progressing Hyperleukocytosis and Leukostasis. Cureus 2023; 15:e46119. [PMID: 37779685 PMCID: PMC10536451 DOI: 10.7759/cureus.46119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/27/2023] [Indexed: 10/03/2023] Open
Abstract
TP53-mutated (TP53m) acute myeloid leukemia (AML) comprises only 5-15% of de novo AML, associated with poor survival outcomes due to its resistance to conventional therapy. Ring chromosomes, an even more rare subset of genetic anomalies, occur in only 2% of cases. We report a unique case of de novo AML with both TP53 and ring chromosome anomalies leading to a catastrophic outcome in a 72-year-old male who initially presented with gastrointestinal bleeding (GIB) and urethral stone status post-cystoscopy with J-stent placement. He had no history of chemotherapy use, radiation, benzene exposure, or any other risk factors except for his age. He was noted to have pancytopenia, for which bone marrow biopsy, flow cytometry, and cytogenetic studies were done. Biopsy reported an interesting next-generation sequenced TP53-mutated AML, which correlates with a low rate of response to standard chemotherapy except for bone marrow transplants. Notably, with a complex aberration of 45 XY with multiple translocations (t), deletions (del), inversions (inv), derivative (der) breakpoints, aneuploidy, and rare ring and maker chromosomes, his case was complicated with rapid-onset and very severe hyperleucostasis, reflecting the prognostic value of this rare cytogenetic configuration. The patient expired within 48 hours of diagnosis, despite the urgent initiation of cytoreductive therapy and the mitigation of tumor lysis syndrome with Rasburicase. To the best of our knowledge, this is one of the first AML-M4 patients with rapid-onset leucostasis and the demise of next-generation sequences (NGS) in a de Novo AML patient with this rare complex combination.
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Affiliation(s)
- Ifeoma Kwentoh
- Medicine, Columbia University, New York, USA
- Internal Medicine, Columbia University at Harlem Hospital Center, New York, USA
| | | | - Rahman Olusoji
- Internal Medicine, Columbia University at Harlem Hospital Center, New York, USA
| | - Tasheka McPherson
- Internal Medicine, Columbia University at Harlem Hospital Center, New York, USA
| | - Meena Ahluwalia
- Oncology, Columbia University at Harlem Hospital Center, New York, USA
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5
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Noguera NI, Travaglini S, Scalea S, Catalanotto C, Reale A, Zampieri M, Zaza A, Ricciardi MR, Angelini DF, Tafuri A, Ottone T, Voso MT, Zardo G. YY1 Knockdown Relieves the Differentiation Block and Restores Apoptosis in AML Cells. Cancers (Basel) 2023; 15:4010. [PMID: 37568827 PMCID: PMC10417667 DOI: 10.3390/cancers15154010] [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: 06/19/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
In this study we analyzed the expression of Yin and Yang 1 protein (YY1), a member of the noncanonical PcG complexes, in AML patient samples and AML cell lines and the effect of YY1 downregulation on the AML differentiation block. Our results show that YY1 is significantly overexpressed in AML patient samples and AML cell lines and that YY1 knockdown relieves the differentiation block. YY1 downregulation in two AML cell lines (HL-60 and OCI-AML3) and one AML patient sample restored the expression of members of the CEBP protein family, increased the expression of extrinsic growth factors/receptors and surface antigenic markers, induced morphological cell characteristics typical of myeloid differentiation, and sensitized cells to retinoic acid treatment and to apoptosis. Overall, our data show that YY1 is not a secondary regulator of myeloid differentiation but that, if overexpressed, it can play a predominant role in myeloid differentiation block.
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Affiliation(s)
- Nelida Ines Noguera
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy; (S.T.); (T.O.); (M.T.V.)
- Unit of Neuro-Oncoematologia, Santa Lucia Foundation IRCCS, 00143 Rome, Italy
| | - Serena Travaglini
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy; (S.T.); (T.O.); (M.T.V.)
- Unit of Neuro-Oncoematologia, Santa Lucia Foundation IRCCS, 00143 Rome, Italy
| | - Stefania Scalea
- Department of Experimental Medicine, Sapienza University, 00185 Rome, Italy;
| | - Caterina Catalanotto
- Department of Molecular Medicine, Sapienza University, 00185 Rome, Italy; (C.C.); (A.R.); (M.Z.)
| | - Anna Reale
- Department of Molecular Medicine, Sapienza University, 00185 Rome, Italy; (C.C.); (A.R.); (M.Z.)
| | - Michele Zampieri
- Department of Molecular Medicine, Sapienza University, 00185 Rome, Italy; (C.C.); (A.R.); (M.Z.)
| | - Alessandra Zaza
- Unit of Neuro-Oncoematologia, Santa Lucia Foundation IRCCS, 00143 Rome, Italy
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University, 00185 Rome, Italy
| | - Maria Rosaria Ricciardi
- Department of Clinical and Molecular Medicine, Sapienza University, 00185 Rome, Italy; (M.R.R.); (A.T.)
| | | | - Agostino Tafuri
- Department of Clinical and Molecular Medicine, Sapienza University, 00185 Rome, Italy; (M.R.R.); (A.T.)
| | - Tiziana Ottone
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy; (S.T.); (T.O.); (M.T.V.)
- Unit of Neuro-Oncoematologia, Santa Lucia Foundation IRCCS, 00143 Rome, Italy
| | - Maria Teresa Voso
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy; (S.T.); (T.O.); (M.T.V.)
- Unit of Neuro-Oncoematologia, Santa Lucia Foundation IRCCS, 00143 Rome, Italy
| | - Giuseppe Zardo
- Department of Experimental Medicine, Sapienza University, 00185 Rome, Italy;
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6
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Döhner H, Wei AH, Roboz GJ, Montesinos P, Thol FR, Ravandi F, Dombret H, Porkka K, Sandhu I, Skikne B, See WL, Ugidos M, Risueño A, Chan ET, Thakurta A, Beach CL, Lopes de Menezes D. Prognostic impact of NPM1 and FLT3 mutations in patients with AML in first remission treated with oral azacitidine. Blood 2022; 140:1674-1685. [PMID: 35960871 PMCID: PMC10653004 DOI: 10.1182/blood.2022016293] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/27/2022] [Indexed: 11/20/2022] Open
Abstract
The randomized, placebo-controlled, phase 3 QUAZAR AML-001 trial (ClinicalTrials.gov identifier: NCT01757535) evaluated oral azacitidine (Oral-AZA) in patients with acute myeloid leukemia (AML) in first remission after intensive chemotherapy (IC) who were not candidates for hematopoietic stem cell transplantation. Eligible patients were randomized 1:1 to Oral-AZA 300 mg or placebo for 14 days per 28-day cycle. We evaluated relapse-free survival (RFS) and overall survival (OS) in patient subgroups defined by NPM1 and FLT3 mutational status at AML diagnosis and whether survival outcomes in these subgroups were influenced by presence of post-IC measurable residual disease (MRD). Gene mutations at diagnosis were collected from patient case report forms; MRD was determined centrally by multiparameter flow cytometry. Overall, 469 of 472 randomized patients (99.4%) had available mutational data; 137 patients (29.2%) had NPM1 mutations (NPM1mut), 66 patients (14.1%) had FLT3 mutations (FLT3mut; with internal tandem duplications [ITD], tyrosine kinase domain mutations [TKDmut], or both), and 30 patients (6.4%) had NPM1mut and FLT3-ITD at diagnosis. Among patients with NPM1mut, OS and RFS were improved with Oral-AZA by 37% (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.41-0.98) and 45% (HR, 0.55; 95% CI, 0.35-0.84), respectively, vs placebo. Median OS was improved numerically with Oral-AZA among patients with NPM1mut whether without MRD (48.6 months vs 31.4 months with placebo) or with MRD (46.1 months vs 10.0 months with placebo) post-IC. Among patients with FLT3mut, Oral-AZA improved OS and RFS by 37% (HR, 0.63; 95% CI, 0.35-1.12) and 49% (HR, 0.51; 95% CI, 0.27-0.95), respectively, vs placebo. Median OS with Oral-AZA vs placebo was 28.2 months vs 16.2 months, respectively, for patients with FLT3mut and without MRD and 24.0 months vs 8.0 months for patients with FLT3mut and MRD. In multivariate analyses, Oral-AZA significantly improved survival independent of NPM1 or FLT3 mutational status, cytogenetic risk, or post-IC MRD status.
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Affiliation(s)
- Hartmut Döhner
- Department of Internal Medicine III, Ulm University Hospital, Ulm, Germany
| | - Andrew H Wei
- Australian Centre for Blood Diseases, Monash University, Melbourne, Australia
- Department of Clinical Haematology, The Alfred Hospital, Melbourne, Australia
| | - Gail J Roboz
- Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY
- Division of Hematology & Medical Oncology, New York Presbyterian Hospital, New York, NY
| | - Pau Montesinos
- Servicio de Hematología y Hemoterapia, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Felicitas R Thol
- Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Medizinische Hochschule Hannover, Hannover, Germany
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hervé Dombret
- Leukemia Unit, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- Institut de Recherche Saint Louis, Université de Paris, Paris, France
| | - Kimmo Porkka
- Hematology Research Unit Helsinki, HUS Comprehensive Cancer Center, and iCAN Digital Precision Cancer Center Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Irwindeep Sandhu
- Department of Oncology, University of Alberta, Edmonton, AB, Canada
| | - Barry Skikne
- University of Kansas Medical Center, Kansas City, KS
- Bristol Myers Squibb, Princeton, NJ
| | - Wendy L See
- Translational Medicine, Bristol Myers Squibb, Summit, NJ
| | - Manuel Ugidos
- BMS Center for Innovation and Translational Research Europe (CITRE), a Bristol-Myers Squibb Company, Seville, Spain
| | - Alberto Risueño
- BMS Center for Innovation and Translational Research Europe (CITRE), a Bristol-Myers Squibb Company, Seville, Spain
| | | | - Anjan Thakurta
- Translational Medicine, Bristol Myers Squibb, Summit, NJ
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7
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Kuang Y, Peng C, Dong Y, Wang J, Kong F, Yang X, Wang Y, Gao H. NADH dehydrogenase subunit 1/4/5 promotes survival of acute myeloid leukemia by mediating specific oxidative phosphorylation. Mol Med Rep 2022; 25:195. [PMID: 35425997 PMCID: PMC9052001 DOI: 10.3892/mmr.2022.12711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 03/16/2022] [Indexed: 11/05/2022] Open
Abstract
Acute myeloid leukemia (AML) is a type of hematological malignancy caused by uncontrolled clonal proliferation of hematopoietic stem cells. The special energy metabolism mode of AML relying on oxidative phosphorylation is different from the traditional ‘Warburg effect’. However, its mechanism is not clear. In the present study, it was demonstrated that the mRNA expression levels of NADH dehydrogenase subunit 1, 4 and 5 (ND1, ND4 and ND5) were upregulated in AML samples from The Cancer Genome Atlas database using the limma package in the R programming language. Reverse transcription-quantitative PCR and ELISA were used to verify the upregulation of ND1, ND4 and ND5 in clinical samples. Pan-cancer analysis revealed that the expression of ND1 was upregulated only in AML, ND2 was upregulated only in AML and thymoma, and ND4 was upregulated only in AML and kidney chromophobe. In the present study, it was demonstrated that silencing of ND1/4/5 could inhibit the proliferation of AML cells in transplanted tumor of nude mice. Additionally, it was found that oxidative phosphorylation and energy metabolism of AML cells were decreased after silencing of ND1/4/5. In conclusion, the present study suggested that ND1/4/5 may be involved in the regulation of oxidative phosphorylation metabolism in AML as a potential cancer-promoting factor.
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Affiliation(s)
- Ye Kuang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Chuanmei Peng
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Yulin Dong
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Jia Wang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Fanbin Kong
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Xiaoqing Yang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Yang Wang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Hui Gao
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
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8
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Akkari YM, Baughn LB, Dubuc AM, Smith AC, Mallo M, Dal Cin P, Diez Campelo M, Gallego MS, Granada Font I, Haase DT, Schlegelberger B, Slavutsky I, Mecucci C, Levine RL, Hasserjian RP, Solé F, Levy B, Xu X. Guiding the global evolution of cytogenetic testing for hematologic malignancies. Blood 2022; 139:2273-2284. [PMID: 35167654 PMCID: PMC9710485 DOI: 10.1182/blood.2021014309] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 02/03/2022] [Indexed: 12/15/2022] Open
Abstract
Cytogenetics has long represented a critical component in the clinical evaluation of hematologic malignancies. Chromosome banding studies provide a simultaneous snapshot of genome-wide copy number and structural variation, which have been shown to drive tumorigenesis, define diseases, and guide treatment. Technological innovations in sequencing have ushered in our present-day clinical genomics era. With recent publications highlighting novel sequencing technologies as alternatives to conventional cytogenetic approaches, we, an international consortium of laboratory geneticists, pathologists, and oncologists, describe herein the advantages and limitations of both conventional chromosome banding and novel sequencing technologies and share our considerations on crucial next steps to implement these novel technologies in the global clinical setting for a more accurate cytogenetic evaluation, which may provide improved diagnosis and treatment management. Considering the clinical, logistic, technical, and financial implications, we provide points to consider for the global evolution of cytogenetic testing.
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Affiliation(s)
- Yassmine M.N. Akkari
- Departments of Cytogenetics and Molecular Pathology, Legacy Health, Portland, OR
| | - Linda B. Baughn
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Adrian M. Dubuc
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Adam C. Smith
- Laboratory Medicine Program, University Health Network and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Mar Mallo
- MDS Group, Microarrays Unit, Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Paola Dal Cin
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Maria Diez Campelo
- Hematology Department University Hospital of Salamanca, IBSAL, Salamanca, Spain
| | - Marta S. Gallego
- Laboratory of Cytogenetics and Molecular Cytogenetics, Department of Clinical Pathology, Italian Hospital, Buenos Aires, Argentina
| | - Isabel Granada Font
- Hematology Laboratory, Germans Trias i Pujol University Hospital–Catalan Institute of Oncology, Josep Carreras Leukemia Research Institute, Barcelona, Spain
| | - Detlef T. Haase
- Clinics of Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany
| | | | - Irma Slavutsky
- Laboratory Genetics of Lymphoid Malignancies, Institute of Experimental Medicine, Buenos Aires, Argentina
| | - Cristina Mecucci
- Laboratory of Cytogenetics and Molecular Medicine, Hematology University of Perugia, Perugia, Italy
| | - Ross L. Levine
- Department of Medicine, Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | - Francesc Solé
- MDS Group, Microarrays Unit, Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Brynn Levy
- College of Physicians and Surgeons, Columbia University Medical Center and the New York Presbyterian Hospital, New York, NY
| | - Xinjie Xu
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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9
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Cox A, Park C, Koduru P, Wilson K, Weinberg O, Chen W, García R, Kim D. Automated classification of cytogenetic abnormalities in hematolymphoid neoplasms. Bioinformatics 2022; 38:1420-1426. [PMID: 34874998 DOI: 10.1093/bioinformatics/btab822] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/05/2021] [Accepted: 12/01/2021] [Indexed: 01/20/2023] Open
Abstract
MOTIVATION Algorithms for classifying chromosomes, like convolutional deep neural networks (CNNs), show promise to augment cytogeneticists' workflows; however, a critical limitation is their inability to accurately classify various structural chromosomal abnormalities. In hematopathology, recurrent structural cytogenetic abnormalities herald diagnostic, prognostic and therapeutic implications, but are laborious for expert cytogeneticists to identify. Non-recurrent cytogenetic abnormalities also occur frequently cancerous cells. Here, we demonstrate the feasibility of using CNNs to accurately classify many recurrent cytogenetic abnormalities while being able to reliably detect non-recurrent, spurious abnormal chromosomes, as well as provide insights into dataset assembly, model selection and training methodology that improve overall generalizability and performance for chromosome classification. RESULTS Our top-performing model achieved a mean weighted F1 score of 96.86% on the validation set and 94.03% on the test set. Gradient class activation maps indicated that our model learned biologically meaningful feature maps, reinforcing the clinical utility of our proposed approach. Altogether, this work: proposes a new dataset framework for training chromosome classifiers for use in a clinical environment, reveals that residual CNNs and cyclical learning rates confer superior performance, and demonstrates the feasibility of using this approach to automatically screen for many recurrent cytogenetic abnormalities while adeptly classifying non-recurrent abnormal chromosomes. AVAILABILITY AND IMPLEMENTATION Software is freely available at https://github.com/DaehwanKimLab/Chromosome-ReAd. The data underlying this article cannot be shared publicly due to it being protected patient information. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Andrew Cox
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75235, USA
| | - Chanhee Park
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75235, USA
| | - Prasad Koduru
- Department of Pathology, UT Southwestern Medical Center, Dallas, TX 75235, USA
| | - Kathleen Wilson
- Department of Pathology, UT Southwestern Medical Center, Dallas, TX 75235, USA
| | - Olga Weinberg
- Department of Pathology, UT Southwestern Medical Center, Dallas, TX 75235, USA
| | - Weina Chen
- Department of Pathology, UT Southwestern Medical Center, Dallas, TX 75235, USA
| | - Rolando García
- Department of Pathology, UT Southwestern Medical Center, Dallas, TX 75235, USA
| | - Daehwan Kim
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75235, USA
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10
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Steimlé T, Dourthe ME, Alcantara M, Touzart A, Simonin M, Mondesir J, Lhermitte L, Bond J, Graux C, Grardel N, Cayuela JM, Arnoux I, Gandemer V, Balsat M, Vey N, Macintyre E, Ifrah N, Dombret H, Petit A, Baruchel A, Ruminy P, Boissel N, Asnafi V. Clinico-biological features of T-cell acute lymphoblastic leukemia with fusion proteins. Blood Cancer J 2022; 12:14. [PMID: 35082269 PMCID: PMC8791998 DOI: 10.1038/s41408-022-00613-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 01/01/2022] [Accepted: 01/06/2022] [Indexed: 12/23/2022] Open
Abstract
T-cell acute lymphoblastic leukemias (T-ALL) represent 15% of pediatric and 25% of adult ALL. Since they have a particularly poor outcome in relapsed/refractory cases, identifying prognosis factors at diagnosis is crucial to adapting treatment for high-risk patients. Unlike acute myeloid leukemia and BCP ALL, chromosomal rearrangements leading to chimeric fusion-proteins with strong prognosis impact are sparsely reported in T-ALL. To address this issue an RT-MPLA assay was applied to a consecutive series of 522 adult and pediatric T-ALLs and identified a fusion transcript in 20% of cases. PICALM-MLLT10 (4%, n = 23), NUP214-ABL1 (3%, n = 19) and SET-NUP214 (3%, n = 18) were the most frequent. The clinico-biological characteristics linked to fusion transcripts in a subset of 235 patients (138 adults in the GRAALL2003/05 trials and 97 children from the FRALLE2000 trial) were analyzed to identify their prognosis impact. Patients with HOXA trans-deregulated T-ALLs with MLLT10, KMT2A and SET fusion transcripts (17%, 39/235) had a worse prognosis with a 5-year EFS of 35.7% vs 63.7% (HR = 1.63; p = 0.04) and a trend for a higher cumulative incidence of relapse (5-year CIR = 45.7% vs 25.2%, HR = 1.6; p = 0.11). Fusion transcripts status in T-ALL can be robustly identified by RT-MLPA, facilitating risk adapted treatment strategies for high-risk patients.
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Affiliation(s)
- Thomas Steimlé
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
| | - Marie-Emilie Dourthe
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
- Department of Pediatric Hematology and Immunology, Robert Debré University Hospital (AP-HP), Université de Paris, Paris, France
| | - Marion Alcantara
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
- Department of Pediatric Hematology and Immunology, Robert Debré University Hospital (AP-HP), Université de Paris, Paris, France
- Center for Cancer Immunotherapy, INSERM U932, Institut Curie, PSL Research University, Paris, France
| | - Aurore Touzart
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
| | - Mathieu Simonin
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
- Department of Pediatric Hematology and Immunology, Robert Debré University Hospital (AP-HP), Université de Paris, Paris, France
- Center for Cancer Immunotherapy, INSERM U932, Institut Curie, PSL Research University, Paris, France
- Department of Pediatric Hematology and Oncology, Assistance Publique-Hôpitaux de Paris (AP-HP), GH HUEP, Armand Trousseau Hospital, Paris, France
- Sorbonne Universités, UPMC Univ Paris 06, UMRS 938, CDR Saint-Antoine, GRC n°07, GRC MyPAC, Paris, France
| | - Johanna Mondesir
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
| | - Ludovic Lhermitte
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
| | - Jonathan Bond
- Systems Biology Ireland, School of Medicine, University College Dublin, Dublin, Ireland
| | - Carlos Graux
- Department of Hematology, Université catholique de Louvain, CHU UCL Namur - site Godinne, Yvoir, Belgium
| | - Nathalie Grardel
- Laboratory of Hematology, CHRU Lille, Lille, France and U1172, INSERM, Lille, France
| | - Jean-Michel Cayuela
- Laboratory of Hematology and EA 3518 University Hospital Saint-Louis, AP-HP and Université de Paris, Paris, France
| | - Isabelle Arnoux
- Hematology Laboratory, Marseille University Hospital Timone, Marseille, France
| | - Virginie Gandemer
- Department of Pediatric Hematology and Oncology, University Hospital of Rennes, Rennes, France
| | - Marie Balsat
- Service d'hématologie clinique, Hôpital Lyon Sud, Marseille, France
| | - Norbert Vey
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Marseille, France
| | - Elizabeth Macintyre
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France
| | - Norbert Ifrah
- PRES LUNAM, CHU Angers service des Maladies du Sang et CRCINA INSERM, Angers, France
| | - Hervé Dombret
- Institut de Recherche Saint-Louis, Université de Paris, EA-3518, Paris, France
| | - Arnaud Petit
- Department of Pediatric Hematology and Oncology, Assistance Publique-Hôpitaux de Paris (AP-HP), GH HUEP, Armand Trousseau Hospital, Paris, France
- Sorbonne Universités, UPMC Univ Paris 06, UMRS 938, CDR Saint-Antoine, GRC n°07, GRC MyPAC, Paris, France
| | - André Baruchel
- Department of Pediatric Hematology and Immunology, Robert Debré University Hospital (AP-HP), Université de Paris, Paris, France
- Institut de Recherche Saint-Louis, Université de Paris, EA-3518, Paris, France
| | - Philippe Ruminy
- Inserm U1245, Centre Henri Becquerel, Université de Rouen, IRIB, Rouen, France
| | - Nicolas Boissel
- Institut de Recherche Saint-Louis, Université de Paris, EA-3518, Paris, France
- Inserm U1245, Centre Henri Becquerel, Université de Rouen, IRIB, Rouen, France
- AP-HP, Hôpital Saint Louis, Unité d'Hématologie Adolescents et Jeunes Adultes, Paris, France
| | - Vahid Asnafi
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Paris, France.
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11
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Revealing the Mysteries of Acute Myeloid Leukemia: From Quantitative PCR through Next-Generation Sequencing and Systemic Metabolomic Profiling. J Clin Med 2022; 11:jcm11030483. [PMID: 35159934 PMCID: PMC8836582 DOI: 10.3390/jcm11030483] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 01/10/2022] [Accepted: 01/14/2022] [Indexed: 12/13/2022] Open
Abstract
The efforts made in the last decade regarding the molecular landscape of acute myeloid leukemia (AML) have created the possibility of obtaining patients’ personalized treatment. Indeed, the improvement of accurate diagnosis and precise assessment of minimal residual disease (MRD) increased the number of new markers suitable for novel and targeted therapies. This progress was obtained thanks to the development of molecular techniques starting with real-time quantitative PCR (Rt-qPCR) passing through digital droplet PCR (ddPCR) and next-generation sequencing (NGS) up to the new attractive metabolomic approach. The objective of this surge in technological advances is a better delineation of AML clonal heterogeneity, monitoring patients without disease-specific mutation and designing customized post-remission strategies based on MRD assessment. In this context, metabolomics, which pertains to overall small molecules profiling, emerged as relevant access for risk stratification and targeted therapies improvement. In this review, we performed a detailed overview of the most popular modern methods used in hematological laboratories, pointing out their vital importance for MRD monitoring in order to improve overall survival, early detection of possible relapses and treatment efficacy.
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12
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Rapid and highly sensitive approach for multiplexed somatic fusion detection. Mod Pathol 2022; 35:1022-1033. [PMID: 35347250 PMCID: PMC9314249 DOI: 10.1038/s41379-022-01058-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 02/14/2022] [Accepted: 02/14/2022] [Indexed: 11/28/2022]
Abstract
Somatic gene translocations are key to making an accurate diagnosis in many cancers including many pediatric sarcomas. Currently available molecular diagnostic approaches to identifying somatic pathognomonic translocations have limitations such as minimal multiplexing, high cost, complex computational requirements, or slow turnaround times. We sought to develop a new fusion-detection assay optimized to mitigate these challenges. To accomplish this goal, we developed a highly sensitive multiplexed digital PCR-based approach that can identify the gene partners of multiple somatic fusion transcripts. This assay was validated for specificity with cell lines and synthetized DNA fragments. Assay sensitivity was optimized using a tiered amplification approach for fusion detection from low input and/or degraded RNA. The assay was then tested for the potential application of fusion detection from FFPE tissue and liquid biopsy samples. We found that this multiplexed PCR approach was able to accurately identify the presence of seven different targeted fusion transcripts with a turnaround time of 1 to 2 days. The addition of a tiered amplification step allowed the detection of targeted fusions from as little as 1 pg of RNA input. We also identified fusions from as little as two unstained slides of FFPE tumor biopsy tissue, from circulating tumor cells collected from tumor-bearing mice, and from liquid biopsy samples from patients with known fusion-positive cancers. We also demonstrated that the assay could be easily adapted for additional fusion targets. In summary, this novel assay detects multiple somatic fusion partners in biologic samples with low tumor content and low-quality RNA in less than two days. The assay is inexpensive and could be applied to surgical and liquid biopsies, particularly in places with inadequate resources for more expensive and expertise-dependent assays such as next-generation sequencing.
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13
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Skhoun H, Khattab M, Belkhayat A, Takki Chebihi Z, Dakka N, El Baghdadi J. A prognostic approach on a case of pediatric Philadelphia chromosome-positive acute lymphoblastic leukemia with monosomy-7. Clin Case Rep 2021; 9:e05207. [PMID: 34963805 PMCID: PMC8710846 DOI: 10.1002/ccr3.5207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/04/2021] [Accepted: 11/14/2021] [Indexed: 11/21/2022] Open
Abstract
In this work, we present the first case of a Ph-positive ALL Moroccan girl with t(9;22)(q34;q11) and monosomy-7. She was diagnosed with Ph-positive ALL based on bone marrow examination, immunophenotyping, and cytogenetic analysis. She relapsed after treatment with the persistence of the Ph chromosome and the appearance of a monosomy-7.
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Affiliation(s)
- Hanaa Skhoun
- Genetics UnitMilitary Hospital Mohammed VRabatMorocco
- Laboratory of Human Pathologies BiologyGenomic Center of Human PathologiesFaculty of SciencesMohammed V University in RabatRabatMorocco
| | - Mohammed Khattab
- Department of Pediatric Hemato‐OncologyChildren's Hospital of RabatRabatMorocco
| | | | | | - Nadia Dakka
- Laboratory of Human Pathologies BiologyGenomic Center of Human PathologiesFaculty of SciencesMohammed V University in RabatRabatMorocco
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14
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Kuang Y, Wang Y, Cao X, Peng C, Gao H. New prognostic factors and scoring system for patients with acute myeloid leukemia. Oncol Lett 2021; 22:823. [PMID: 34691250 PMCID: PMC8527825 DOI: 10.3892/ol.2021.13084] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/01/2021] [Indexed: 12/19/2022] Open
Abstract
Acute myeloid leukemia (AML) is a malignant disease originating from myeloid hematopoietic stem or progenitor cells. It is important to identify molecules associated with the prognosis of AML and conduct an individual risk assessment for different patients. In the present study, the RNA expression profile of 132 patients with AML and 337 healthy individuals were downloaded from the University of California Santa Cruz Xena and the Genotype-Tissue Expression project databases. Differentially expressed mRNA (DEmRNA) transcripts between normal blood and AML blood were identified. Among these, prognosis-associated signature mRNA molecules were screened using univariate Cox and least absolute shrinkage and selection operator regression. A total of four genes, namely, family with sequence similarity 124 member B (FAM124B), 4-hydroxyphenylpyruvate dioxygenase-like protein (HPDL), myeloperoxidase (MPO) and purinergic receptor P2Y1 (P2RY1), were identified using multivariate Cox regression analysis and were used to construct a prognostic scoring system. Moreover, the expression levels of HPDL and MPO were higher in the samples with high immunity scores and estimate scores (sum of stromal score and immune score), compared with those with low scores. Reverse transcription-quantitative PCR and western blot analysis were used to confirm the upregulation of the four candidate genes in AML cell lines as well as in clinical AML samples. In summary, the present study identified a novel mRNA-based prognostic risk scoring system for patients with AML. The four genes used in this scoring system may also play an important role in AML.
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Affiliation(s)
- Ye Kuang
- Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Yang Wang
- Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Xianghong Cao
- Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Chuanmei Peng
- Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Hui Gao
- Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
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15
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Martinez-Ledesma E, Flores D, Trevino V. Computational methods for detecting cancer hotspots. Comput Struct Biotechnol J 2020; 18:3567-3576. [PMID: 33304455 PMCID: PMC7711189 DOI: 10.1016/j.csbj.2020.11.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 11/12/2020] [Accepted: 11/13/2020] [Indexed: 12/14/2022] Open
Abstract
Cancer mutations that are recurrently observed among patients are known as hotspots. Hotspots are highly relevant because they are, presumably, likely functional. Known hotspots in BRAF, PIK3CA, TP53, KRAS, IDH1 support this idea. However, hundreds of hotspots have never been validated experimentally. The detection of hotspots nevertheless is challenging because background mutations obscure their statistical and computational identification. Although several algorithms have been applied to identify hotspots, they have not been reviewed before. Thus, in this mini-review, we summarize more than 40 computational methods applied to detect cancer hotspots in coding and non-coding DNA. We first organize the methods in cluster-based, 3D, position-specific, and miscellaneous to provide a general overview. Then, we describe their embed procedures, implementations, variations, and differences. Finally, we discuss some advantages, provide some ideas for future developments, and mention opportunities such as application to viral integrations, translocations, and epigenetics.
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Affiliation(s)
- Emmanuel Martinez-Ledesma
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Bioinformática y Diagnóstico Clínico, Monterrey, Nuevo León, Mexico
| | - David Flores
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Bioinformática y Diagnóstico Clínico, Monterrey, Nuevo León, Mexico
- Universidad del Caribe, Departamento de Ciencias Básicas e Ingenierías, Cancún, Quintana Roo, Mexico
| | - Victor Trevino
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Bioinformática y Diagnóstico Clínico, Monterrey, Nuevo León, Mexico
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16
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Lomov N, Zerkalenkova E, Lebedeva S, Viushkov V, Rubtsov MA. Cytogenetic and molecular genetic methods for chromosomal translocations detection with reference to the KMT2A/MLL gene. Crit Rev Clin Lab Sci 2020; 58:180-206. [PMID: 33205680 DOI: 10.1080/10408363.2020.1844135] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Acute leukemias (ALs) are often associated with chromosomal translocations, in particular, KMT2A/MLL gene rearrangements. Identification or confirmation of these translocations is carried out by a number of genetic and molecular methods, some of which are routinely used in clinical practice, while others are primarily used for research purposes. In the clinic, these methods serve to clarify diagnoses and monitor the course of disease and therapy. On the other hand, the identification of new translocations and the confirmation of known translocations are of key importance in the study of disease mechanisms and further molecular classification. There are multiple methods for the detection of rearrangements that differ in their principle of operation, the type of problem being solved, and the cost-result ratio. This review is intended to help researchers and clinicians studying AL and related chromosomal translocations to navigate this variety of methods. All methods considered in the review are grouped by their principle of action and include karyotyping, fluorescence in situ hybridization (FISH) with probes for whole chromosomes or individual loci, PCR and reverse transcription-based methods, and high-throughput sequencing. Another characteristic of the described methods is the type of problem being solved. This can be the discovery of new rearrangements, the determination of unknown partner genes participating in the rearrangement, or the confirmation of the proposed rearrangement between the two genes. We consider the specifics of the application, the basic principle of each method, and its pros and cons. To illustrate the application, examples of studying the rearrangements of the KMT2A/MLL gene, one of the genes that are often rearranged in AL, are mentioned.
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Affiliation(s)
- Nikolai Lomov
- Department of Molecular Biology, Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, Russia
| | - Elena Zerkalenkova
- Laboratory of Cytogenetics and Molecular Genetics Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Svetlana Lebedeva
- Laboratory of Cytogenetics and Molecular Genetics Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Vladimir Viushkov
- Department of Molecular Biology, Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, Russia
| | - Mikhail A Rubtsov
- Department of Molecular Biology, Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, Russia.,Department of Biochemistry, Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
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17
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Liu M, Ren Y, Wang X, Lu X, Li M, Kim YM, Li S, Zhang L. Two rare cases of acute myeloid leukemia with t(8;16)(p11.2;p13.3) and 1q duplication: case presentation and literature review. Mol Cytogenet 2020; 13:37. [PMID: 32863883 PMCID: PMC7448493 DOI: 10.1186/s13039-020-00507-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 08/12/2020] [Indexed: 11/18/2022] Open
Abstract
Background Acute myeloid leukemia (AML) is a complex hematological disease characterized by genetic and clinical heterogeneity. The identification and understanding of chromosomal abnormalities are important for the diagnosis and management of AML patients. Compared with recurrent chromosomal translocations in AML, t(8;16)(p11.2;p13.3) can be found in any age group but is very rare and typically associated with poor prognosis. Methods Conventional cytogenetic studies were performed among 1,824 AML patients recorded in our oncology database over the last 20 years. Fluorescence in situ hybridization (FISH) was carried out to detect the translocation fusion. Array comparative genome hybridization (aCGH) was carried out to further characterize the duplication of chromosomes. Results We identified three AML patients with t(8;16)(p11.2;p13.3) by chromosome analysis. Two of the three patients, who harbored an additional 1q duplication, were detected by FISH and aCGH. aCGH characterized a 46.7 Mb and 49.9 Mb gain in chromosome 1 at band q32.1q44 separately in these two patients. One patient achieved complete remission (CR) but relapsed 3 months later. The other patient never experienced CR and died 2 years after diagnosis. Conclusion A 1q duplication was detected in two of three AML patients with t(8;16)(p11.2;p13.3), suggesting that 1q duplication can be a recurrent event in AML patients with t(8;16). In concert with the findings of previous studies on similar patients, our work suggests that 1q duplication may also be an unfavorable prognostic factor of the disease.
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Affiliation(s)
- Meng Liu
- Department of Hematology, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110000 Liaoning People's Republic of China.,Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - Yuan Ren
- Department of Hematology, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110000 Liaoning People's Republic of China.,Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - Xianfu Wang
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - Xianglan Lu
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - Ming Li
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA.,Department of Neurology, The Second Hospital of Jilin University, Jilin, People's Republic of China
| | - Young Mi Kim
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - Shibo Li
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - Lijun Zhang
- Department of Hematology, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110000 Liaoning People's Republic of China
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18
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Szczepanek J. Role of microRNA dysregulation in childhood acute leukemias: Diagnostics, monitoring and therapeutics: A comprehensive review. World J Clin Oncol 2020; 11:348-369. [PMID: 32855905 PMCID: PMC7426929 DOI: 10.5306/wjco.v11.i6.348] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 05/18/2020] [Accepted: 05/22/2020] [Indexed: 02/06/2023] Open
Abstract
MicroRNAs (miRNAs) are short noncoding RNAs that regulate the expression of genes by sequence-specific binding to mRNA to either promote or block its translation; they can also act as tumor suppressors (e.g., let-7b, miR-29a, miR-99, mir-100, miR-155, and miR-181) and/or oncogenes (e.g., miR-29a, miR-125b, miR-143-p3, mir-155, miR-181, miR-183, miR-196b, and miR-223) in childhood acute leukemia (AL). Differentially expressed miRNAs are important factors associated with the initiation and progression of AL. As shown in many studies, they can be used as noninvasive diagnostic and prognostic biomarkers, which are useful in monitoring early stages of AL development or during therapy (e.g., miR-125b, miR-146b, miR-181c, and miR-4786), accurate classification of different cellular or molecular AL subgroups (e.g., let-7b, miR-98, miR-100, miR-128b, and miR-223), and identification and development of new therapeutic agents (e.g., mir-10, miR-125b, miR-203, miR-210, miR-335). Specific miRNA patterns have also been described for commonly used AL therapy drugs (e.g., miR-125b and miR-223 for doxorubicin, miR-335 and miR-1208 for prednisolone, and miR-203 for imatinib), uncovering miRNAs that are associated with treatment response. In the current review, the role of miRNAs in the development, progression, and therapy monitoring of pediatric ALs will be presented and discussed.
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Affiliation(s)
- Joanna Szczepanek
- Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń 87100, Poland
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19
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Johnston G, Ramsey HE, Liu Q, Wang J, Stengel KR, Sampathi S, Acharya P, Arrate M, Stubbs MC, Burn T, Savona MR, Hiebert SW. Nascent transcript and single-cell RNA-seq analysis defines the mechanism of action of the LSD1 inhibitor INCB059872 in myeloid leukemia. Gene 2020; 752:144758. [PMID: 32422235 DOI: 10.1016/j.gene.2020.144758] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 05/06/2020] [Indexed: 12/15/2022]
Abstract
Drugs targeting chromatin-modifying enzymes have entered clinical trials for myeloid malignancies, including INCB059872, a selective irreversible inhibitor of Lysine-Specific Demethylase 1 (LSD1). While initial studies of LSD1 inhibitors suggested these compounds may be used to induce differentiation of acute myeloid leukemia (AML), the mechanisms underlying this effect and dose-limiting toxicities are not well understood. Here, we used precision nuclear run-on sequencing (PRO-seq) and ChIP-seq in AML cell lines to probe for the earliest regulatory events associated with INCB059872 treatment. The changes in nascent transcription could be traced back to a loss of CoREST activity and activation of GFI1-regulated genes. INCB059872 is in phase I clinical trials, and we evaluated a pre-treatment bone marrow sample of a patient who showed a clinical response to INCB059872 while being treated with azacitidine. We used single-cell RNA-sequencing (scRNA-seq) to show that INCB059872 caused a shift in gene expression that was again associated with GFI1/GFI1B regulation. Finally, we treated mice with INCB059872 and performed scRNA-seq of lineage-negative bone marrow cells, which showed that INCB059872 triggered accumulation of megakaryocyte early progenitor cells with gene expression hallmarks of stem cells. Accumulation of these stem/progenitor cells may contribute to the thrombocytopenia observed in patients treated with LSD1 inhibitors.
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Affiliation(s)
- Gretchen Johnston
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Haley E Ramsey
- Department of Medicine and Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Qi Liu
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA; Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jing Wang
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA; Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Kristy R Stengel
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Shilpa Sampathi
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Pankaj Acharya
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Maria Arrate
- Department of Medicine and Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | | | | | - Michael R Savona
- Department of Medicine and Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37203, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37027, USA
| | - Scott W Hiebert
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37027, USA.
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20
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Wu R, Wang L, Yin R, Hudlikar R, Li S, Kuo HCD, Peter R, Sargsyan D, Guo Y, Liu X, Kong AN. Epigenetics/epigenomics and prevention by curcumin of early stages of inflammatory-driven colon cancer. Mol Carcinog 2020; 59:227-236. [PMID: 31820492 PMCID: PMC6946865 DOI: 10.1002/mc.23146] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 11/25/2019] [Accepted: 11/30/2019] [Indexed: 12/14/2022]
Abstract
Colorectal cancer (CRC) is associated with significant morbidity and mortality in the US and worldwide. CRC is the second most common cancer-related death in both men and women globally. Chronic inflammation has been identified as one of the major risk factors of CRC. It may drive genetic and epigenetic/epigenomic alterations, such as DNA methylation, histone modification, and non-coding RNA regulation. Current prevention modalities for CRC are limited and some treatment regimens such as use the nonsteroidal anti-inflammatory drug aspirin may have severe side effects, namely gastrointestinal ulceration and bleeding. Therefore, there is an urgent need of developing alternative strategies. Recently, increasing evidence suggests that several dietary cancer chemopreventive phytochemicals possess anti-inflammation and antioxidative stress activities, and may prevent cancers including CRC. Curcumin (CUR) is the yellow pigment that is found in the rhizomes of turmeric (Curcuma longa). Many studies have demonstrated that CUR exhibit strong anticancer, antioxidative stress, and anti-inflammatory activities by regulating signaling pathways, such as nuclear factor erythroid-2-related factor 2, nuclear factor-κB, and epigenetics/epigenomics pathways of histones modifications, and DNA methylation. In this review, we will discuss the latest evidence in epigenetics/epigenomics alterations by CUR in CRC and their potential contribution in the prevention of CRC.
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Affiliation(s)
- Renyi Wu
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Lujing Wang
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
- Graduate Program in Pharmaceutical Science, Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Ran Yin
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Rasika Hudlikar
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Shanyi Li
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Hsiao-Chen D Kuo
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
- Graduate Program in Pharmaceutical Science, Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Rebecca Peter
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
- Graduate Program in Pharmaceutical Science, Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Davit Sargsyan
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
- Graduate Program in Pharmaceutical Science, Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Yue Guo
- Janssen Research & Development, Spring House, Pennsylvania
| | - Xia Liu
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
- Department of Pharmacology, School of Basic Medical Science, Lanzhou University, Lanzhou, China
| | - A N Kong
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
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21
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Lv L, Yu J, Qi Z. Acute myeloid leukemia with inv(16)(p13.1q22) and deletion of the 5'MYH11/3'CBFB gene fusion: a report of two cases and literature review. Mol Cytogenet 2020; 13:4. [PMID: 32015759 PMCID: PMC6990480 DOI: 10.1186/s13039-020-0474-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 01/20/2020] [Indexed: 11/10/2022] Open
Abstract
Background Abnormalities of chromosome 16 are found in about 5–8% of acute myeloid leukemia (AML). The AML with inv(16)(p13.1q22) or t (16;16)(p13.1;q22) is associated with a high rate of complete remission (CR) and favorable overall survival (OS) when treated with high-dose Cytarabine. At the inversion breakpoints, deletion of 3’CBFB has been reported, but most of them were studied by chromosome and fluorescence in situ hybridization (FISH) analyses. The genomic characteristics of such deletions remain largely undefined, hindering further understanding of the clinical significance of the deletions. Case presentation We report here two AML cases with inv(16) and deletion of the 5’MYH11/3’CBFB gene fusion, which were characterized by chromosome, FISH, and single nucleotide polymorphism (SNP) microarray analyses. Both cases have achieved CR for more than three years. Conclusions Deletion of 3’CBFB in AML with inv(16) is also accompanied with deletion of 5’MYH11 in all the cases studied by SNP microarray, suggesting that 3’CBFB and 5’MYH11 were most likely deleted together as a fusion product of inv(16) instead of occurring separately. In concert with the findings of other published studies of similar patients, our study suggests that deletion of 5’MYH11/3’CBFB in AML with inv(16) may not have negative impact on the prognosis of the disease.
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Affiliation(s)
- Lili Lv
- 1Department of Oncology and Hematology, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Jingwei Yu
- 2Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA USA
| | - Zhongxia Qi
- 2Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA USA
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22
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Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies. JOURNAL OF ONCOLOGY 2019; 2019:7239206. [PMID: 31467542 PMCID: PMC6699387 DOI: 10.1155/2019/7239206] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 06/12/2019] [Indexed: 01/08/2023]
Abstract
The last two decades of genome-scale research revealed a complex molecular picture of acute myeloid leukemia (AML). On the one hand, a number of mutations were discovered and associated with AML diagnosis and prognosis; some of them were introduced into diagnostic tests. On the other hand, transcriptome studies, which preceded AML exome and genome sequencing, remained poorly translated into clinics. Nevertheless, gene expression studies significantly contributed to the elucidation of AML pathogenesis and indicated potential therapeutic directions. The power of transcriptomic approach lies in its comprehensiveness; we can observe how genome manifests its function in a particular type of cells and follow many genes in one test. Moreover, gene expression measurement can be combined with mutation detection, as high-impact mutations are often present in transcripts. This review sums up 20 years of transcriptome research devoted to AML. Gene expression profiling (GEP) revealed signatures distinctive for selected AML subtypes and uncovered the additional within-subtype heterogeneity. The results were particularly valuable in the case of AML with normal karyotype which concerns up to 50% of AML cases. With the use of GEP, new classes of the disease were identified and prognostic predictors were proposed. A plenty of genes were detected as overexpressed in AML when compared to healthy control, including KIT, BAALC, ERG, MN1, CDX2, WT1, PRAME, and HOX genes. High expression of these genes constitutes usually an unfavorable prognostic factor. Upregulation of FLT3 and NPM1 genes, independent on their mutation status, was also reported in AML and correlated with poor outcome. However, transcriptome is not limited to the protein-coding genes; other types of RNA molecules exist in a cell and regulate genome function. It was shown that microRNA (miRNA) profiles differentiated AML groups and predicted outcome not worse than protein-coding gene profiles. For example, upregulation of miR-10a, miR-10b, and miR-196b and downregulation of miR-192 were found as typical of AML with NPM1 mutation whereas overexpression of miR-155 was associated with FLT3-internal tandem duplication (FLT3-ITD). Development of high-throughput technologies and microarray replacement by next generation sequencing (RNA-seq) enabled uncovering a real variety of leukemic cell transcriptomes, reflected by gene fusions, chimeric RNAs, alternatively spliced transcripts, miRNAs, piRNAs, long noncoding RNAs (lncRNAs), and their special type, circular RNAs. Many of them can be considered as AML biomarkers and potential therapeutic targets. The relations between particular RNA puzzles and other components of leukemic cells and their microenvironment, such as exosomes, are now under investigation. Hopefully, the results of this research will shed the light on these aspects of AML pathogenesis which are still not completely understood.
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23
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Sakhdari A, Tang Z, Ok CY, Bueso-Ramos CE, Medeiros LJ, Huh YO. Homogeneously staining region (hsr) on chromosome 11 is highly specific for KMT2A amplification in acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). Cancer Genet 2019; 238:18-22. [PMID: 31425921 DOI: 10.1016/j.cancergen.2019.07.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 06/24/2019] [Accepted: 07/01/2019] [Indexed: 01/01/2023]
Abstract
AML and MDS are most common myeloid neoplasms that affect mainly older patients. Overexpression of certain proto-oncogenes plays an indispensable role in tumorigenesis and overexpression can be a consequence of gene rearrangement, amplification and/or mutation. Rearrangement and amplification of KMT2A located at chromosome band 11q23 is a well-characterized genetic driver in a subset of AML/MDS cases and is associated with a poor prognosis. The presence of homogeneously staining regions (hsr) also has been correlated with amplification of specific proto-oncogenes. In this study, we correlated hsr(11)(q23) with KMT2A in a large cohort of AML/MDS (n = 54) patients. We identified 37 patients with hsr(11)(q23) in the setting of AML (n = 27) and MDS (n = 10). All patients showed a complex karyotype including 12 cases with monosomy 17. KMT2A FISH analysis was available for 35 patients which showed KMT2A amplification in all patients. Among control cases with hsr involving chromosomes other than 11q [non-11q hsr, n = 17], FISH analysis for KMT2A was available in 10 cases and none of these cases showed KMT2A amplification (p = 0.0001, Fisher's exact test, two-tailed). Mutational analysis was performed in 32 patients with hsr(11)(q23). The most common mutated gene was TP53 (n = 29), followed by DNMT3A (n = 4), NF1 (n = 4), and TET2 (n = 3). Thirty (83%) patients died over a median follow-up of 7.6 months (range, 0.4-33.4). In summary, hsr(11)(q23) in AML/MDS cases is associated with a complex karyotype, monosomy 17, KMT2A amplification, and TP53 mutation.
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Affiliation(s)
- Ali Sakhdari
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030-4009, United States.
| | - Zhenya Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030-4009, United States
| | - Chi Young Ok
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030-4009, United States
| | - Carlos E Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030-4009, United States
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030-4009, United States
| | - Yang O Huh
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030-4009, United States
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24
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Current Outlook on Autophagy in Human Leukemia: Foe in Cancer Stem Cells and Drug Resistance, Friend in New Therapeutic Interventions. Int J Mol Sci 2019; 20:ijms20030461. [PMID: 30678185 PMCID: PMC6387281 DOI: 10.3390/ijms20030461] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 01/15/2019] [Accepted: 01/18/2019] [Indexed: 01/07/2023] Open
Abstract
Autophagy is an evolutionarily conserved cellular recycling process in cell homeostasis and stress adaptation. It confers protection and promotes survival in response to metabolic/environmental stress, and is upregulated in response to nutrient deprivation, hypoxia, and chemotherapies. Autophagy is also known to sustain malignant cell growth and contributes to cancer stem cell survival when challenged by cytotoxic and/or targeted therapies, a potential mechanism of disease persistence and drug resistance that has gathered momentum. However, different types of human leukemia utilize autophagy in complex, context-specific manners, and the molecular and cellular mechanisms underlying this process involve multiple protein networks that will be discussed in this review. There is mounting preclinical evidence that targeting autophagy can enhance the efficacy of cancer therapies. Chloroquine and other lysosomal inhibitors have spurred initiation of clinical trials and demonstrated that inhibition of autophagy restores chemosensitivity of anticancer drugs, but with limited autophagy-dependent effects. Intriguingly, several autophagy-specific inhibitors, with better therapeutic indexes and lower toxicity, have been developed. Promising preclinical studies with novel combination approaches as well as potential challenges to effectively eradicate drug-resistant cells, particularly cancer stem cells, in human leukemia are also detailed in this review.
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