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Atnaf A, Akelew Y, Abebaw D, Muche Y, Getachew M, Mengist HM, Tsegaye A. The role of long noncoding RNAs in the diagnosis, prognosis and therapeutic biomarkers of acute myeloid leukemia. Ann Hematol 2024:10.1007/s00277-024-05987-3. [PMID: 39264436 DOI: 10.1007/s00277-024-05987-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 08/29/2024] [Indexed: 09/13/2024]
Abstract
Acute myeloid leukemia (AML) is the abnormal proliferation of immature myeloid blast cells in the bone marrow. Currently, there are no universally recognized biomarkers for the early diagnosis, prognosis and effective treatment of AML to improve the overall survival of patients. Recent studies, however, have demonstrated that long noncoding RNAs (lncRNAs) are promising targets for the early diagnosis, prognosis and treatment of AML. A critical review of available data would be important to identify study gaps and provide perspectives. In this review, we explored comprehensive information on the potential use of lncRNAs as targets for the diagnosis, prognosis, and treatment of AML. LncRNAs are nonprotein-coding RNAs that are approximately 200 nucleotides long and play important roles in the regulation, metabolism and differentiation of tissues. In addition, they play important roles in the diagnosis, prognosis and treatment of different cancers, including AML. LncRNAs play multifaceted roles as oncogenes or tumor suppressor genes. Recently, deregulated lncRNAs were identified as novel players in the development of AML, making them promising prognostic indicators. Given that lncRNAs could have potential diagnostic marker roles, the lack of sufficient evidence identifying specific lncRNAs expressed in specific cancers hampers the use of lncRNAs as diagnostic markers of AML. The complex roles of lncRNAs in the pathophysiology of AML require further scrutiny to identify specific lncRNAs. This review, despite the lack of sufficient literature, discusses the therapeutic, diagnostic and prognostic roles of lncRNAs in AML and provides future insights that will contribute to studies targeting lncRNAs in the diagnosis, treatment, and management of AML.
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Affiliation(s)
- Aytenew Atnaf
- Department of Medical Laboratory Science, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia.
| | - Yibeltal Akelew
- Department of Medical Laboratory Science, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
- Department of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC, 3168, Australia
| | - Desalegn Abebaw
- Department of Medical Laboratory Science, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Yalew Muche
- Department of Medical Laboratory Science, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Melese Getachew
- Department of Pharmacy, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Hylemariam Mihiretie Mengist
- Department of Medical Laboratory Science, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, 4072, Australia
| | - Aster Tsegaye
- Department of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia
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2
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Liu Y, Zhu XY, Liao LL, Zhang ZH, Huang TS, Zhang L, Jiang XW, Ma Y. Silencing LINC00987 ameliorates adriamycin resistance of acute myeloid leukemia via miR-4458/HMGA2 axis. Biol Direct 2024; 19:49. [PMID: 38910243 PMCID: PMC11195003 DOI: 10.1186/s13062-024-00490-1] [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: 01/09/2024] [Accepted: 06/12/2024] [Indexed: 06/25/2024] Open
Abstract
BACKGROUND Most patients with acute myeloid leukemia (AML) eventually develop drug resistance, leading to a poor prognosis. Dysregulated long gene non coding RNAs (lincRNAs) have been implicated in chemoresistance in AML. Unfortunately, the effects of lincRNAs which participate in regulating the Adriamycin (ADR) resistance in AML cells remain unclear. Thus, the purpose of this study is to determine LINC00987 function in ADR-resistant AML. METHODS In this study, ADR-resistant cells were constructed. LINC00987, miRNAs, and HMGA2 mRNA expression were measured by qRT-PCR. P-GP, BCRP, and HMGA2 protein were measured by Western blot. The proliferation was analyzed by MTS and calculated IC50. Soft agar colony formation assay and TUNEL staining were used to analyze cell colony formation and apoptosis. Xenograft tumor experiment was used to analyze the xenograft tumor growth of ADR-resistant AML. RESULTS We found that higher expression of LINC00987 was observed in AML patients and associated with poor overall survival in AML patients. LINC00987 expression was increased in ADR-resistant AML cells, including ADR/MOLM13 and ADR/HL-60 cells. LINC00987 downregulation reduces ADR resistance in ADR/MOLM13 and ADR/HL-60 cells in vitro and in vivo, while LINC00987 overexpression enhanced ADR resistance in MOLM13 and HL-60 cells. Additionally, LINC00987 functions as a competing endogenous RNA for miR-4458 to affect ADR resistance in ADR/MOLM13 and ADR/HL-60 cells. HMGA2 is a target of miR-4458. LINC00987 knockdown and miR-4458 overexpression reduced HMGA2 expression. HMGA2 overexpression enhanced ADR resistance, which reversed the function of LINC00987 silencing in suppressing ADR resistance of ADR/MOLM13 and ADR/HL-60 cells. CONCLUSIONS Downregulation of LINC00987 weakens ADR resistance by releasing miR-4458 to deplete HMGA2 in ADR/MOLM13 and ADR/HL-60. Therefore, LINC00987 may act as the therapeutic target for treating chemoresistant AML.
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MESH Headings
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/drug therapy
- Humans
- HMGA2 Protein/genetics
- HMGA2 Protein/metabolism
- MicroRNAs/genetics
- MicroRNAs/metabolism
- Drug Resistance, Neoplasm/genetics
- Doxorubicin/pharmacology
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/metabolism
- Mice
- Animals
- Cell Line, Tumor
- HL-60 Cells
- Gene Silencing
- Apoptosis
- Cell Proliferation
- Female
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Affiliation(s)
- Yue Liu
- Institute of Biomedicine, Department of Cellular Biology, Jinan University, No. 601 Huangpu Ave West, Shipai Street, Tianhe District, Guangzhou, Guangdong, 510632, China
| | - Xiao-Ya Zhu
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Li-Li Liao
- Research Center of Medical and Pharmaceutical Bioengineering, Minstry of Health, Guangdong Province Nucleic Acid Molecular Diagnostics Engineering Technology Research Center, Daan Gene Co Ltd, Guangzhou, 510663, China
| | - Zhan-Hui Zhang
- Research Center of Medical and Pharmaceutical Bioengineering, Minstry of Health, Guangdong Province Nucleic Acid Molecular Diagnostics Engineering Technology Research Center, Daan Gene Co Ltd, Guangzhou, 510663, China
| | - Tao-Sheng Huang
- Research Center of Medical and Pharmaceutical Bioengineering, Minstry of Health, Guangdong Province Nucleic Acid Molecular Diagnostics Engineering Technology Research Center, Daan Gene Co Ltd, Guangzhou, 510663, China
| | - Ling Zhang
- Department of Hematology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Shipai Street, Tianhe District, Guangzhou, 510630, China.
| | - Xi-Wen Jiang
- Research Center of Medical and Pharmaceutical Bioengineering, Minstry of Health, Guangdong Province Nucleic Acid Molecular Diagnostics Engineering Technology Research Center, Daan Gene Co Ltd, Guangzhou, 510663, China.
| | - Yi Ma
- Institute of Biomedicine, Department of Cellular Biology, Jinan University, No. 601 Huangpu Ave West, Shipai Street, Tianhe District, Guangzhou, Guangdong, 510632, China.
- National engineering research center of genetic Medicine, Key laboratory of Bioengineering Medicine of Guangdong Province, Guangzhou, 510632, China.
- The National Demonstration Center for Experimental Education of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
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3
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Kang J, Chung A, Suresh S, Bonzi LC, Sourisse JM, Ramirez‐Calero S, Romeo D, Petit‐Marty N, Pegueroles C, Schunter C. Long non-coding RNAs mediate fish gene expression in response to ocean acidification. Evol Appl 2024; 17:e13655. [PMID: 38357358 PMCID: PMC10866067 DOI: 10.1111/eva.13655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 02/16/2024] Open
Abstract
The majority of the transcribed genome does not have coding potential but these non-coding transcripts play crucial roles in transcriptional and post-transcriptional regulation of protein-coding genes. Regulation of gene expression is important in shaping an organism's response to environmental changes, ultimately impacting their survival and persistence as population or species face global change. However, the roles of long non-coding RNAs (lncRNAs), when confronted with environmental changes, remain largely unclear. To explore the potential role of lncRNAs in fish exposed to ocean acidification (OA), we analyzed publicly available brain RNA-seq data from a coral reef fish Acanthochromis polyacanthus. We annotated the lncRNAs in its genome and examined the expression changes of intergenic lncRNAs (lincRNAs) between A. polyacanthus samples from a natural CO2 seep and a nearby control site. We identified 4728 lncRNAs, including 3272 lincRNAs in this species. Remarkably, 93.03% of these lincRNAs were species-specific. Among the 125 highly expressed lincRNAs and 403 differentially expressed lincRNAs in response to elevated CO2, we observed that lincRNAs were either neighboring or potentially trans-regulating differentially expressed coding genes associated with pH regulation, neural signal transduction, and ion transport, which are known to be important in the response to OA in fish. In summary, lncRNAs may facilitate fish acclimation and mediate the responses of fish to OA by modulating the expression of crucial coding genes, which offers insight into the regulatory mechanisms underlying fish responses to environmental changes.
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Affiliation(s)
- Jingliang Kang
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Arthur Chung
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Sneha Suresh
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Lucrezia C. Bonzi
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Jade M. Sourisse
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Sandra Ramirez‐Calero
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Daniele Romeo
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Natalia Petit‐Marty
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Cinta Pegueroles
- Department of Genetics, Microbiology and Statistics, Institute for Research on Biodiversity (IRBio)University of BarcelonaBarcelonaSpain
| | - Celia Schunter
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
- State Key Laboratory of Marine Pollution and Department of ChemistryCity University of Hong KongHong Kong SARChina
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4
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Connerty P, Lock RB. The tip of the iceberg-The roles of long noncoding RNAs in acute myeloid leukemia. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 14:e1796. [PMID: 37267628 PMCID: PMC10909534 DOI: 10.1002/wrna.1796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/03/2023] [Accepted: 05/03/2023] [Indexed: 06/04/2023]
Abstract
Long noncoding RNAs (lncRNAs) are traditionally defined as RNA transcripts longer than 200 nucleotides that have no protein coding potential. LncRNAs have been identified to be dysregulated in various types of cancer, including the deadly hematopoietic cancer-acute myeloid leukemia (AML). Currently, survival rates for AML have reached a plateau necessitating new therapeutic targets and biomarkers to improve treatment options and survival from the disease. Therefore, the identification of lncRNAs as novel biomarkers and therapeutic targets for AML has major benefits. In this review, we assess the key studies which have recently identified lncRNAs as important molecules in AML and summarize the current knowledge of lncRNAs in AML. We delve into examples of the specific roles of lncRNA action in AML such as driving proliferation, differentiation block and therapy resistance as well as their function as tumor suppressors and utility as biomarkers. This article is categorized under: RNA in Disease and Development > RNA in Disease.
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Affiliation(s)
- Patrick Connerty
- Children's Cancer Institute, Lowy Cancer Research CentreUNSW SydneySydneyNew South WalesAustralia
- School of Clinical MedicineUNSW Medicine & Health, UNSW SydneySydneyNew South WalesAustralia
- University of New South Wales Centre for Childhood Cancer ResearchUNSW SydneySydneyNew South WalesAustralia
| | - Richard B. Lock
- Children's Cancer Institute, Lowy Cancer Research CentreUNSW SydneySydneyNew South WalesAustralia
- School of Clinical MedicineUNSW Medicine & Health, UNSW SydneySydneyNew South WalesAustralia
- University of New South Wales Centre for Childhood Cancer ResearchUNSW SydneySydneyNew South WalesAustralia
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5
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Ng M, Verboon L, Issa H, Bhayadia R, Vermunt MW, Winkler R, Schüler L, Alejo O, Schuschel K, Regenyi E, Borchert D, Heuser M, Reinhardt D, Yaspo ML, Heckl D, Klusmann JH. Myeloid leukemia vulnerabilities embedded in long noncoding RNA locus MYNRL15. iScience 2023; 26:107844. [PMID: 37766974 PMCID: PMC10520325 DOI: 10.1016/j.isci.2023.107844] [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: 10/19/2022] [Revised: 05/02/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
The noncoding genome presents a largely untapped source of new biological insights, including thousands of long noncoding RNA (lncRNA) loci. While lncRNA dysregulation has been reported in myeloid malignancies, their functional relevance remains to be systematically interrogated. We performed CRISPRi screens of lncRNA signatures from normal and malignant hematopoietic cells and identified MYNRL15 as a myeloid leukemia dependency. Functional dissection suggests an RNA-independent mechanism mediated by two regulatory elements embedded in the locus. Genetic perturbation of these elements triggered a long-range chromatin interaction and downregulation of leukemia dependency genes near the gained interaction sites, as well as overall suppression of cancer dependency pathways. Thus, this study describes a new noncoding myeloid leukemia vulnerability and mechanistic concept for myeloid leukemia. Importantly, MYNRL15 perturbation caused strong and selective impairment of leukemia cells of various genetic backgrounds over normal hematopoietic stem and progenitor cells in vitro, and depletion of patient-derived xenografts in vivo.
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Affiliation(s)
- Michelle Ng
- Department of Pediatric Hematology and Oncology, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | - Lonneke Verboon
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hasan Issa
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Raj Bhayadia
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marit Willemijn Vermunt
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Robert Winkler
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Leah Schüler
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oriol Alejo
- Department of Pediatric Hematology and Oncology, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | - Konstantin Schuschel
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eniko Regenyi
- Department of Pediatric Hematology and Oncology, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
- Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Dorit Borchert
- Department of Pediatric Hematology and Oncology, Hannover Medical School, 30625 Hannover, Germany
| | - Michael Heuser
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, 30625 Hannover, Germany
| | - Dirk Reinhardt
- Clinic for Pediatrics III, University Hospital Essen, 45147 Essen, Germany
| | - Marie-Laure Yaspo
- Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Dirk Heckl
- Institute for Experimental Pediatric Hematology and Oncology, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
| | - Jan-Henning Klusmann
- Department of Pediatrics, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, 60323 Frankfurt (Main), Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany
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6
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Boscaro E, Urbino I, Catania FM, Arrigo G, Secreto C, Olivi M, D'Ardia S, Frairia C, Giai V, Freilone R, Ferrero D, Audisio E, Cerrano M. Modern Risk Stratification of Acute Myeloid Leukemia in 2023: Integrating Established and Emerging Prognostic Factors. Cancers (Basel) 2023; 15:3512. [PMID: 37444622 DOI: 10.3390/cancers15133512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/02/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
An accurate estimation of AML prognosis is complex since it depends on patient-related factors, AML manifestations at diagnosis, and disease genetics. Furthermore, the depth of response, evaluated using the level of MRD, has been established as a strong prognostic factor in several AML subgroups. In recent years, this rapidly evolving field has made the prognostic evaluation of AML more challenging. Traditional prognostic factors, established in cohorts of patients treated with standard intensive chemotherapy, are becoming less accurate as new effective therapies are emerging. The widespread availability of next-generation sequencing platforms has improved our knowledge of AML biology and, consequently, the recent ELN 2022 recommendations significantly expanded the role of new gene mutations. However, the impact of rare co-mutational patterns remains to be fully disclosed, and large international consortia such as the HARMONY project will hopefully be instrumental to this aim. Moreover, accumulating evidence suggests that clonal architecture plays a significant prognostic role. The integration of clinical, cytogenetic, and molecular factors is essential, but hierarchical methods are reaching their limit. Thus, innovative approaches are being extensively explored, including those based on "knowledge banks". Indeed, more robust prognostic estimations can be obtained by matching each patient's genomic and clinical data with the ones derived from very large cohorts, but further improvements are needed.
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Affiliation(s)
- Eleonora Boscaro
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Irene Urbino
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Federica Maria Catania
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Giulia Arrigo
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Carolina Secreto
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Matteo Olivi
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Stefano D'Ardia
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Chiara Frairia
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Valentina Giai
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Roberto Freilone
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Dario Ferrero
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Turin, Italy
| | - Ernesta Audisio
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Marco Cerrano
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
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7
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Farrar JE, Smith JL, Othus M, Huang BJ, Wang YC, Ries R, Hylkema T, Pogosova-Agadjanyan EL, Challa S, Leonti A, Shaw TI, Triche TJ, Gamis AS, Aplenc R, Kolb EA, Ma X, Stirewalt DL, Alonzo TA, Meshinchi S. Long Noncoding RNA Expression Independently Predicts Outcome in Pediatric Acute Myeloid Leukemia. J Clin Oncol 2023; 41:2949-2962. [PMID: 36795987 PMCID: PMC10414715 DOI: 10.1200/jco.22.01114] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 12/15/2022] [Accepted: 01/17/2023] [Indexed: 02/18/2023] Open
Abstract
PURPOSE Optimized strategies for risk classification are essential to tailor therapy for patients with biologically distinctive disease. Risk classification in pediatric acute myeloid leukemia (pAML) relies on detection of translocations and gene mutations. Long noncoding RNA (lncRNA) transcripts have been shown to associate with and mediate malignant phenotypes in acute myeloid leukemia (AML) but have not been comprehensively evaluated in pAML. METHODS To identify lncRNA transcripts associated with outcomes, we evaluated the annotated lncRNA landscape by transcript sequencing of 1,298 pediatric and 96 adult AML specimens. Upregulated lncRNAs identified in the pAML training set were used to establish a regularized Cox regression model of event-free survival (EFS), yielding a 37 lncRNA signature (lncScore). Discretized lncScores were correlated with initial and postinduction treatment outcomes using Cox proportional hazards models in validation sets. Predictive model performance was compared with standard stratification methods by concordance analysis. RESULTS Training set cases with positive lncScores had 5-year EFS and overall survival rates of 26.7% and 42.7%, respectively, compared with 56.9% and 76.3% with negative lncScores (hazard ratio, 2.48 and 3.16; P < .001). Pediatric validation cohorts and an adult AML group yielded comparable results in magnitude and significance. lncScore remained independently prognostic in multivariable models, including key factors used in preinduction and postinduction risk stratification. Subgroup analysis suggested that lncScores provide additional outcome information in heterogeneous subgroups currently classified as indeterminate risk. Concordance analysis showed that lncScore adds to overall classification accuracy with at least comparable predictive performance to current stratification methods that rely on multiple assays. CONCLUSION Inclusion of the lncScore enhances predictive power of traditional cytogenetic and mutation-defined stratification in pAML with potential, as a single assay, to replace these complex stratification schemes with comparable predictive accuracy.
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Affiliation(s)
- Jason E. Farrar
- Department of Pediatrics, Arkansas Children's Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Jenny L. Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Megan Othus
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Benjamin J. Huang
- Department of Pediatrics, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
| | | | - Rhonda Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Tiffany Hylkema
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Sneha Challa
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Amanda Leonti
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Timothy I. Shaw
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Timothy J. Triche
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI
| | - Alan S. Gamis
- Department of Pediatrics, Children's Mercy Hospitals and Clinics, Kansas City, MO
| | - Richard Aplenc
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - E. Anders Kolb
- Nemours Center for Cancer and Blood Disorders and Alfred I. DuPont Hospital for Children, Wilmington, DE
| | - Xiaotu Ma
- Department of Computational Biology, St Jude Children's Research Hospital, Memphis, TN
| | - Derek L. Stirewalt
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Todd A. Alonzo
- Children's Oncology Group, Monrovia, CA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Pediatrics, University of Washington, Seattle, WA
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8
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Mas AM, Huarte M. Long Noncoding RNA Signatures as Cancer Biomarkers. J Clin Oncol 2023; 41:3059-3062. [PMID: 37043713 DOI: 10.1200/jco.23.00381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023] Open
Affiliation(s)
- Aina M Mas
- Center for Applied Medical Research, University of Navarra, Pamplona, Spain
- Institute of Health Research of Navarra (IdiSNA), Pamplona, Spain
| | - Maite Huarte
- Center for Applied Medical Research, University of Navarra, Pamplona, Spain
- Institute of Health Research of Navarra (IdiSNA), Pamplona, Spain
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9
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Hao C, Lin S, Liu P, Liang W, Li Z, Li Y. Potential serum metabolites and long-chain noncoding RNA biomarkers for endometrial cancer tissue. J Obstet Gynaecol Res 2023; 49:725-743. [PMID: 36510632 DOI: 10.1111/jog.15494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 10/05/2022] [Accepted: 10/28/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Endometrial carcinoma (EC) is one of the most common tumors in the female reproductive system. There are nearly 200 000 new cases every year. It is the third most common gynecological malignant tumor leading to female death. The incidence rate is closely related to lifestyle, and the incidence rate varies in different regions. The incidence rate of EC is ranking the first in the female reproductive system cancer just second only to breast, lung, and colorectal cancer in North America and Europe and the incidence rate of EC is only second, followed by breast cancer and cervical cancer in China. PURPOSE The potential metabolic markers of endometrial cancer were screened by liquid chromatograph mass spectrometer (LC-MS), and the tissues of patients with hysteromyoma and endometrial cancer were sequenced to explore the relationship between the disease and change in the content of long-chain noncoding RNA (lncRNA). METHODS Serum and tissue samples were collected from patients with endometrial dysplasia, endometrial cancer stage I, and endometrial cancer stage III. The metabolites in all serum samples were extracted, and the metabolites in all samples were detected by LC-MS/MS technology. The Pareto-scaling method was used for normalization, and the MetaboAnalyst 4.0 software was used for different analyses. The T test between groups showed that p ≤ 0.05 was regarded as the metabolite with a difference. Further, the function of differential metabolites was determined by metabolite function enrichment and co-expression analysis. Meanwhile, the differentially expressed lncRNA was detected by Illumina second-generation high-throughput sequencing technology, and the expression was analyzed by DEGseq software. Different lncRNA were screened according to p < 0.05. LncRNA with significant differences were screened by p < 0.01, q < 0.001, fold change ≥2, and false discovery rate (FDR) ≤0.001. RESULTS Through synthesis of T test, cluster heatmap, and ROC curve analysis, five biomarkers with potential diagnostic ability were obtained, including 2,3-Pyridinedicarboxylic acid (area under the curve (AUC) = 0.69), Hematommic acid, ethyl ester (AUC = 0.69), Maltitol (AUC = 0.69), 13(S)-HODE (AUC = 0.88), and D-Mannitol (AUC = 0.69) had potential diagnostic ability between EC phase I versus EC phase III. At the same time, lncRNA sequencing results showed that when endometrial atypical hyperplasia continued to change, including LINC00511, PVT1, and IQCH-AS1 (downregulated), and only changed significantly in the endometrial dysplasia group, including MALAT1, CARMN (downregulated) and LINC00648, BISPR, LINC01534, and LINC00930 (upregulated). Moreover, both differential metabolites and differential lncRNA were annotated to the lipid metabolism pathway, suggesting that this pathway played an important role in the occurrence and development of endometrial carcinoma. CONCLUSIONS It can combine the results of metabolomics and lncRNA sequencing to assist in the early diagnosis of endometrial precancerous lesions and endometrial cancer patients, to enhance the sensitivity and specificity of diagnosis, which has a certain clinical application prospect.
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Affiliation(s)
- Chenjun Hao
- Gynaecology and Obstetrics Department, Maternal and Child Health Hospital of PanYu District, Guangzhou, China
| | - Shaodan Lin
- Gynaecology and Obstetrics Department, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Ping Liu
- Gynaecology and Obstetrics Department, Maternal and Child Health Hospital of PanYu District, Guangzhou, China
| | - Weiguo Liang
- Gynaecology and Obstetrics Department, Maternal and Child Health Hospital of PanYu District, Guangzhou, China
| | - Zhi Li
- Gynaecology and Obstetrics Department, Maternal and Child Health Hospital of PanYu District, Guangzhou, China
| | - Yanqiu Li
- Gynaecology and Obstetrics Department, Maternal and Child Health Hospital of PanYu District, Guangzhou, China
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10
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Hussein MAR, Ahmed AE, ElNahass Y, El-Dahshan D, Ali MAM. Downregulation of IRAIN long non-coding RNA predicts unfavourable clinical outcome in acute myeloid leukaemia patients. Biomarkers 2023; 28:323-340. [PMID: 36657106 DOI: 10.1080/1354750x.2023.2171128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Although it has been shown that the long non-coding RNA (lncRNA) insulin-like growth factor type 1 receptor (IGF1R) antisense imprinted non-protein coding RNA (IRAIN) is downregulated in leukaemia cell lines, its usefulness as a prognostic marker in acute myeloid leukaemia (AML) has not yet been thoroughly investigated. Here, we sought to determine whether the expression of IRAIN is associated with clinical outcome of AML patients. SUBJECTS & METHODS Using quantitative real-time polymerase chain reaction (qRT-PCR), IRAIN expression levels were assessed in peripheral blood leukocyte samples from 150 patients with AML and 50 healthy controls. Analysis was done on the relationship between IRAIN expression and clinical outcomes in AML patients. RESULTS When compared to healthy controls, IRAIN expression was markedly reduced in AML patients (P = 0.019). IRAIN expression could distinguish French-American-British (FAB) subtypes of AML (P = 0.024). Low IRAIN expression status was associated with shorter event-free survival (EFS) in the non-t(15;17) cytogenetically abnormal AML subset (P = 0.004). IRAIN downregulation was identified as an independent adverse prognostic marker for complete remission (CR) not only in the in the non-t(15;17) cytogenetically abnormal AML subset (P = 0.006) but also in the AML-M4/M5 subgroup (P = 0.033). CONCLUSION Aberrantly low IRAIN expression is closely associated with lower CR rates in AML patients, particularly in non-t(15;17) cytogenetically abnormal AML and M4/M5 AML, suggesting that the determination of IRAIN expression level at diagnosis provides valuable prognostic information, serves as a promising biomarker for evaluating treatment response, and helps predicting clinical outcome of AML patients.
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Affiliation(s)
- Mohamed A R Hussein
- Residues Laboratories, General Organization for Export & Import Control, Cairo International Airport, Cairo, Egypt
| | - Amr E Ahmed
- Biotechnology and Life Sciences Department, Faculty of Postgraduate Studies for Advanced Sciences, Beni-Suef University, Beni-Suef, Egypt
| | - Yasser ElNahass
- Department of Clinical Pathology, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Dina El-Dahshan
- Department of Clinical Pathology, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt
| | - Mohamed A M Ali
- Department of Biochemistry, Faculty of Science, Ain Shams University, Cairo, Egypt.,Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia
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11
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Neyazi S, Ng M, Heckl D, Klusmann JH. Long noncoding RNAs as regulators of pediatric acute myeloid leukemia. Mol Cell Pediatr 2022; 9:10. [PMID: 35596093 PMCID: PMC9123150 DOI: 10.1186/s40348-022-00142-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/30/2022] [Indexed: 11/10/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are increasingly emerging as regulators across human development and disease, and many have been described in the context of hematopoiesis and leukemogenesis. These studies have yielded new molecular insights into the contribution of lncRNAs to AML development and revealed connections between lncRNA expression and clinical parameters in AML patients. In this mini review, we illustrate the versatile functions of lncRNAs in AML, with a focus on pediatric AML, and present examples that may serve as future therapeutic targets or predictive factors.
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Affiliation(s)
- Sina Neyazi
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Michelle Ng
- Department of Pediatrics I, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Dirk Heckl
- Department of Pediatrics I, Martin Luther University Halle-Wittenberg, Halle, Germany
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12
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Cui C, Wang Y, Gong W, He H, Zhang H, Shi W, Wang H. Long Non-Coding RNA LINC00152 Regulates Self-Renewal of Leukemia Stem Cells and Induces Chemo-Resistance in Acute Myeloid Leukemia. Front Oncol 2021; 11:694021. [PMID: 34295821 PMCID: PMC8290167 DOI: 10.3389/fonc.2021.694021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/11/2021] [Indexed: 12/23/2022] Open
Abstract
Relapse of acute myeloid leukemia (AML) has a very poor prognosis and remains a common cause of treatment failure in patients with this disease. AML relapse is partially driven by the chemoresistant nature of leukemia stem cells (LSCs), which remains poorly understood, and our study aimed at elucidating the underlying mechanism. Accumulating evidences show that long noncoding RNAs (lncRNAs) play a crucial role in AML development. Herein, the lncRNA, LINC00152, was identified to be highly expressed in CD34+ LSCs and found to regulate the self-renewal of LSCs derived from AML patients. Importantly, LINC00152 upregulation was correlated with the expression of 16 genes within a 17-gene LSC biomarker panel, which contributed to the accurate prediction of initial therapy resistance in AML. Knockdown of LINC00152 markedly increased the drug sensitivity of leukemia cells. Furthermore, LINC00152 expression was found to be correlated with poly (ADP-ribose) polymerase 1 (PARP1) expression in AML, whereas LINC00152 knockdown significantly decreased the expression of PARP1. Upregulation of LINC00152 or PARP1 was associated with poor prognosis in AML patients. Collectively, these data highlight the importance and contribution of LINC00152 in the regulation of self-renewal and chemoresistance of LSCs in AML.
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Affiliation(s)
- Chunhong Cui
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- Laboratory of Tumor Molecular Biology, School of Basic Medical Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Yan Wang
- Huashan Hospital, Fudan University, Shanghai, China
| | - Wenjie Gong
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Haiju He
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hao Zhang
- Huashan Hospital, Fudan University, Shanghai, China
| | - Wei Shi
- Huashan Hospital, Fudan University, Shanghai, China
| | - Hui Wang
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
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13
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Hola MAM, Ali MAM, ElNahass Y, Salem TAE, Mohamed MR. Expression and prognostic relevance of long noncoding RNAs CRNDE and AOX2P in adult acute myeloid leukemia. Int J Lab Hematol 2021; 43:732-742. [PMID: 34129278 DOI: 10.1111/ijlh.13586] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/06/2021] [Accepted: 04/29/2021] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Several long noncoding RNAs (lncRNAs) have been demonstrated to play a critical role in the tumorigenesis of acute myeloid leukemia (AML), and altered expression of certain lncRNAs has been recognized as a potential prognostic marker in AML patients. Here, we sought to determine whether the expression of the lncRNA colorectal neoplasia differentially expressed (CRNDE) and aldehyde oxidase 2 pseudogene (AOX2P) is associated with clinicopathological features and clinical outcome of patients with AML. METHODS CRNDE and AOX2P expression levels were measured in diagnostic blood samples from 200 adult patients with de novo AML, along with 50 healthy control blood samples, using quantitative real-time polymerase chain reaction (qRT-PCR). The association of CRNDE and AOX2P expression with the clinicopathological characteristics and outcome of AML patients was analyzed. RESULTS Upregulated CRNDE expression was independently associated with lower complete remission (CR) rates in the whole cohort of AML (P < .001). AOX2P overexpression was identified as an independent adverse prognostic marker for CR in the CN-AML (P = .009) and non-t (15;17) AML (P < .001) subgroups. Patients with high CRNDE expression had a significantly shorter event-free survival (EFS, whole cohort of AML: P = .017; CN-AML: P = .001; non-t (15;17) AML: P = .006) and inferior overall survival (OS, whole cohort of AML: P = .002; t(15;17) AML: P = .001) than those with low CRNDE expression. EFS and OS did not differ significantly between patients with high AOX2P expression and those with low expression. CONCLUSION Aberrantly upregulated CRNDE expression and, to a lesser extent, AOX2P overexpression, are associated with poor prognosis in AML patients, suggesting that the determination of CRNDE and, perhaps, AOX2P, expression level at diagnosis provides valuable prognostic information, allows refinement of risk stratification, and helps clinical decision-making in AML.
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Affiliation(s)
- Mona A M Hola
- Cytogenetics and Molecular Biology Laboratory, Nasser Institute for Research and Treatment, Cairo, Egypt
| | - Mohamed A M Ali
- Department of Biochemistry, Faculty of Science, Ain Shams University, Cairo, Egypt
| | - Yasser ElNahass
- Department of Clinical Pathology, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Tarek A E Salem
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, Sadat City University, Menofia, Egypt.,Department of Pathology, Biochemistry Unit, College of Medicine, Qassim University, Buraydah, Qassim, Saudi Arabia
| | - Mohamed R Mohamed
- Department of Biochemistry, Faculty of Science, Ain Shams University, Cairo, Egypt
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14
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Shi J, Shi X, Dai RQ. The prognostic impact of abnormally expressed, long noncoding RNAs in acute myeloid leukemia: a meta-analysis. ACTA ACUST UNITED AC 2021; 25:219-228. [PMID: 33346694 DOI: 10.1080/16078454.2020.1779480] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Objectives: A growing number of studies demonstrate that long noncoding RNAs (lncRNAs) could act as biomarkers to determine the prognosis of acute myeloid leukemia (AML) patients. Nonetheless, the significance of lncRNAs in AML prognosis remains unclear. We conducted a meta-analysis to assess the prognostic indicators of abnormally expressed lncRNAs in AML. Methods: Literature was searched using PubMed, EMBASE, and Web of Science databases up to November 10, 2018. Results: Thirteen studies with 2755 individuals were included. The abnormal expression of lncRNAs was associated with worse overall survival (OS) in AML patients, especially in cytogenetically normal AML (CN-AML), and was associated with shorter disease-free survival and event-free survival. Subgroup analysis showed that high levels of HOTAIR and TUG1 were associated with poor OS. Discussion: Overexpression of lncRNA HOTAIR and TUG1 were reported in two separate studies, and correlated with worse AML prognoses. Conclusion: Abnormally expressed lncRNAs are significantly related to worse prognoses of AML patients and might serve as potential prognostic markers to predict the prognosis of AML patients.
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Affiliation(s)
- Jie Shi
- Department of Hematology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
| | - Xin Shi
- Department of Critical Care Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Rong-Qin Dai
- Department of Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
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15
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Chen H, Li L, Qin P, Xiong H, Chen R, Zhang M, Jiang Q. A 4-gene signature predicts prognosis of uterine serous carcinoma. BMC Cancer 2021; 21:154. [PMID: 33579221 PMCID: PMC7881619 DOI: 10.1186/s12885-021-07834-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 11/19/2020] [Indexed: 12/29/2022] Open
Abstract
Background Uterine serous carcinoma (USC) is an aggressive type of endometrial cancer that accounts for up to 40% of endometrial cancer deaths, creating an urgent need for prognostic biomarkers. Methods USC RNA-Seq data and corresponding patients’ clinical records were obtained from The Cancer Genome Atlas and Genotype-Tissue Expression datasets. Univariate cox, Lasso, and Multivariate cox regression analyses were conducted to forge a prognostic signature. Multivariable and univariable cox regression analysis and ROC curve evaluated the prediction efficiency both in the training and testing sets. Results We uncovered 1385 genes dysregulated in 110 cases of USC tissue relative to 113 cases of normal uterine tissue. Functional enrichment analysis of these genes revealed the involvement of various cancer-related pathways in USC. A novel 4-gene signature (KRT23, CXCL1, SOX9 and ABCA10) of USC prognosis was finally forged by serial regression analyses. Overall patient survival (OS) and recurrence-free survival (RFS) were significantly lower in the high-risk group relative to the low-risk group in both the training and testing sets. The area under the ROC curve of the 4-gene signature was highest among clinicopathological features in predicting OS and RFS. The 4-gene signature was found to be an independent prognostic indicator in USC and was a superior predictor of OS in early stage of USC. Conclusions Our findings highlight the potential of the 4-gene signature as a guide for personalized USC treatment. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-07834-4.
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Affiliation(s)
- Hui Chen
- Department of Pathology, School of Basic Medical Science, Guangzhou Medical University, Guangzhou, China.,Department of Pathology, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Lingjun Li
- Department of Pathology, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ping Qin
- Department of Pathology, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Hanzhen Xiong
- Department of Pathology, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ruichao Chen
- Department of Pathology, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Minfen Zhang
- Department of Pathology, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Qingping Jiang
- Department of Pathology, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
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16
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Zhu R, Lin W, Tang L, Hu Y. Identification of hub genes associated with adult acute myeloid leukemia progression through weighted gene co-expression network analysis. Aging (Albany NY) 2021; 13:5686-5697. [PMID: 33592582 PMCID: PMC7950274 DOI: 10.18632/aging.202493] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 12/18/2020] [Indexed: 11/25/2022]
Abstract
Acute myeloid leukemia (AML) is a malignancy of hematopoietic stem cells. Although many candidate genes such as CEBPA, FLT3, IDH1, and IDH2 have been associated with AML initiation and prognosis, the molecular mechanisms underlying this disease remain unclear. In this study, we used a systemic co-expression analysis method, namely weighted gene co-expression network analysis (WGCNA), to identify new candidate genes associated with adult AML progression and prognosis. We identified around 5,138 differentially expressed genes (DEGs) between AML samples (from The Cancer Genome Atlas database) and normal control samples (from the Genotype-Tissue Expression database). WGCNA identified nine co-expression modules with significant differences based on the DEGs. Among modules, the turquoise and blue ones were the most relevant to AML (P-value: turquoise 0, blue 4.64E-77). GO term and KEGG pathway analyses revealed that pathways that are commonly dysregulated in AML were all enriched in the blue and turquoise modules. A total of 15 hub genes were identified to be crucial for AML progression. PIVOT analysis revealed non-coding RNAs, transcriptional factors, and drugs associated with the hub genes. Finally, survival analysis revealed that one of the hub genes, CEACAM5, was significantly associated with AML prognosis and could serve as a potential target for AML treatment.
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Affiliation(s)
- Ruiqi Zhu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Wenyi Lin
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Liang Tang
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yu Hu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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17
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Lai Y, OuYang G, Sheng L, Zhang Y, Lai B, Zhou M. Novel prognostic genes and subclasses of acute myeloid leukemia revealed by survival analysis of gene expression data. BMC Med Genomics 2021; 14:39. [PMID: 33536020 PMCID: PMC7860023 DOI: 10.1186/s12920-021-00888-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 01/27/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Acute myeloid leukemia (AML) is biologically heterogeneous diseases with adverse prognosis. This study was conducted to find prognostic biomarkers that could effectively classify AML patients and provide guidance for treatment decision making. METHODS Weighted gene co-expression network analysis was applied to detect co-expression modules and analyze their relationship with clinicopathologic characteristics using RNA sequencing data from The Cancer Genome Atlas database. The associations of gene expression with patients' mortality were investigated by a variety of statistical methods and validated in an independent dataset of 405 AML patients. A risk score formula was created based on a linear combination of five gene expression levels. RESULTS The weighted gene co-expression network analysis detected 63 co-expression modules. The pink and darkred modules were negatively significantly correlated with overall survival of AML patients. High expression of FNDC3B, VSTM1 and CALR was associated with favourable overall survival, while high expression of PLA2G4A was associated with adverse overall survival. Hierarchical clustering analysis of FNDC3B, VSTM1, PLA2G4A, GOLGA3 and CALR uncovered four subgroups of AML patients. The cluster1 AML patients showed younger age, lower cytogenetics risk, higher frequency of NPM1 mutations and more favourable overall survival than cluster3 patients. The risk score was demonstrated to be an indicator of adverse prognosis in AML patients CONCLUSIONS: The FNDC3B, VSTM1, PLA2G4A, GOLGA3, CALR and risk score may serve as key prognostic biomarkers for the stratification and ultimately guide rational treatment of AML patients.
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Affiliation(s)
- Yanli Lai
- Department of Hematology, Ningbo First Hospital, 59 Liuting RoadZhejiang Province, Ningbo, 315000, China
| | - Guifang OuYang
- Department of Hematology, Ningbo First Hospital, 59 Liuting RoadZhejiang Province, Ningbo, 315000, China
| | - Lixia Sheng
- Department of Hematology, Ningbo First Hospital, 59 Liuting RoadZhejiang Province, Ningbo, 315000, China
| | - Yanli Zhang
- Department of Hematology, Ningbo First Hospital, 59 Liuting RoadZhejiang Province, Ningbo, 315000, China
| | - Binbin Lai
- Department of Hematology, Ningbo First Hospital, 59 Liuting RoadZhejiang Province, Ningbo, 315000, China
| | - Miao Zhou
- Department of Hematology, Ningbo First Hospital, 59 Liuting RoadZhejiang Province, Ningbo, 315000, China.
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18
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Characterization of complete lncRNAs transcriptome reveals the functional and clinical impact of lncRNAs in multiple myeloma. Leukemia 2021; 35:1438-1450. [PMID: 33597729 PMCID: PMC8102198 DOI: 10.1038/s41375-021-01147-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 12/03/2020] [Accepted: 01/21/2021] [Indexed: 02/07/2023]
Abstract
Multiple myeloma (MM) is an incurable disease, whose clinical heterogeneity makes its management challenging, highlighting the need for biological features to guide improved therapies. Deregulation of specific long non-coding RNAs (lncRNAs) has been shown in MM, nevertheless, the complete lncRNA transcriptome has not yet been elucidated. In this work, we identified 40,511 novel lncRNAs in MM samples. lncRNAs accounted for 82% of the MM transcriptome and were more heterogeneously expressed than coding genes. A total of 10,351 overexpressed and 9,535 downregulated lncRNAs were identified in MM patients when compared with normal bone-marrow plasma cells. Transcriptional dynamics study of lncRNAs in the context of normal B-cell maturation revealed 989 lncRNAs with exclusive expression in MM, among which 89 showed de novo epigenomic activation. Knockdown studies on one of these lncRNAs, SMILO (specific myeloma intergenic long non-coding RNA), resulted in reduced proliferation and induction of apoptosis of MM cells, and activation of the interferon pathway. We also showed that the expression of lncRNAs, together with clinical and genetic risk alterations, stratified MM patients into several progression-free survival and overall survival groups. In summary, our global analysis of the lncRNAs transcriptome reveals the presence of specific lncRNAs associated with the biological and clinical behavior of the disease.
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19
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Lin L, Que Y, Lu P, Li H, Xiao M, Zhu X, Li D. Chidamide Inhibits Acute Myeloid Leukemia Cell Proliferation by lncRNA VPS9D1-AS1 Downregulation via MEK/ERK Signaling Pathway. Front Pharmacol 2020; 11:569651. [PMID: 33192510 PMCID: PMC7604502 DOI: 10.3389/fphar.2020.569651] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 09/22/2020] [Indexed: 12/13/2022] Open
Abstract
Irregular histone modification and aberrant lncRNAs expression are closely related to the occurrence of tumors including acute myeloid leukemia (AML). However, the effects and specific underlying molecular mechanism of histone deacetylase inhibitors on lncRNA expression in AML cells are unclear. Here, we reported the effects of a novel histone deacetylase inhibitor Chidamide on proliferation and lncRNA expression in AML cells. Chidamide inhibited cell proliferation, blocked G1/S phase transition, and induced cell apoptosis through the caspase-dependent apoptotic pathway in AML cells. Chidamide also inhibited the formation of subcutaneous tumors. Transcriptome sequencing results showed that 1,195 lncRNAs were co-upregulated and 780 lncRNAs were co-downregulated after Chidamide treatment of SKM-1 cells and THP-1 cells. Combined with transcriptome sequencing data and the gene expression profiling interactive analysis dataset, we found that VPS9D1-AS1 expression was negatively correlated with the survival of AML patients. VPS9D1-AS1 knockdown inhibited cell proliferation, arrested cell cycle, as well as inhibited the formation of subcutaneous tumors in vivo. VPS9D1-AS1 overexpression had the reverse effect. Furthermore, VPS9D1-AS1 knockdown inhibited the MEK/ERK signaling pathway, and thus enhanced the inhibitory effect of Chidamide on AML cell proliferation. These findings suggested that targeted regulation of VPS9D1-AS1 might overcome the limitations of Chidamide in the treatment of AML.
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Affiliation(s)
- Liman Lin
- Department of Hematology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimei Que
- Department of Hematology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pingfan Lu
- Department of Hematology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huimin Li
- Department of Hematology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Xiao
- Department of Hematology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaojian Zhu
- Department of Hematology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dengju Li
- Department of Hematology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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20
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Lu J, Wu X, Wang L, Li T, Sun L. Long noncoding RNA LINC00467 facilitates the progression of acute myeloid leukemia by targeting the miR-339/SKI pathway. Leuk Lymphoma 2020; 62:428-437. [PMID: 33054480 DOI: 10.1080/10428194.2020.1832667] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
A growing body of evidence indicates that long non-coding RNA (lncRNA) is involved in the development and progression of many diseases. It has been reported that lncRNA LINC00467 is disregulated in multiple tumors, while its role in acute myeloid leukemia (AML) is still unknown. Here, we find that LINC00467 expression is significantly increased in AML specimens and cell lines. Further investigations show that knockdown of LINC00467 inhibits the malignant phenotypes of AML cells. Consistently, LINC00467 knockdown slows AML progression in immunodeficient mice. Interestingly, microRNA-339 (miR-339) is upregulated and its target gene SKI, an oncogene, is downregulated in AML cells after LINC00467 knockdown. More importantly, inhibition of miR-339 can largely abolish the effect of LINC00467 knockdown on AML cells. Collectively, our data demonstrate that LINC00467 plays an important role in the pathogenesis of AML by targeting the miR-339/SKI pathway, which provides a new sight for the subsequent treatment of AML.
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Affiliation(s)
- Jun Lu
- Department of Hematology, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan City People's Hospital, Jinan, China
| | - Xifeng Wu
- Department of Hematology, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan City People's Hospital, Jinan, China
| | - Lijuan Wang
- Department of Hematology, Qingdao Binhai University Affiliated Hospital, Qingdao, China
| | - Tantan Li
- Department of Hematology, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan City People's Hospital, Jinan, China
| | - Ling Sun
- Department of Hematology, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan City People's Hospital, Jinan, China
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21
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Salik B, Yi H, Hassan N, Santiappillai N, Vick B, Connerty P, Duly A, Trahair T, Woo AJ, Beck D, Liu T, Spiekermann K, Jeremias I, Wang J, Kavallaris M, Haber M, Norris MD, Liebermann DA, D'Andrea RJ, Murriel C, Wang JY. Targeting RSPO3-LGR4 Signaling for Leukemia Stem Cell Eradication in Acute Myeloid Leukemia. Cancer Cell 2020; 38:263-278.e6. [PMID: 32559496 DOI: 10.1016/j.ccell.2020.05.014] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 04/10/2020] [Accepted: 05/18/2020] [Indexed: 12/11/2022]
Abstract
Signals driving aberrant self-renewal in the heterogeneous leukemia stem cell (LSC) pool determine aggressiveness of acute myeloid leukemia (AML). We report that a positive modulator of canonical WNT signaling pathway, RSPO-LGR4, upregulates key self-renewal genes and is essential for LSC self-renewal in a subset of AML. RSPO2/3 serve as stem cell growth factors to block differentiation and promote proliferation of primary AML patient blasts. RSPO receptor, LGR4, is epigenetically upregulated and works through cooperation with HOXA9, a poor prognostic predictor. Blocking the RSPO3-LGR4 interaction by clinical-grade anti-RSPO3 antibody (OMP-131R10/rosmantuzumab) impairs self-renewal and induces differentiation in AML patient-derived xenografts but does not affect normal hematopoietic stem cells, providing a therapeutic opportunity for HOXA9-dependent leukemia.
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MESH Headings
- Acute Disease
- Animals
- Antibodies, Monoclonal/pharmacology
- Cell Line, Tumor
- Gene Expression Profiling/methods
- Gene Expression Regulation, Leukemic/drug effects
- HL-60 Cells
- Humans
- K562 Cells
- Kaplan-Meier Estimate
- Leukemia, Myeloid/drug therapy
- Leukemia, Myeloid/genetics
- Leukemia, Myeloid/metabolism
- Mice, Inbred NOD
- Mice, Knockout
- Mice, SCID
- Neoplastic Stem Cells/drug effects
- Neoplastic Stem Cells/metabolism
- Receptors, G-Protein-Coupled/genetics
- Receptors, G-Protein-Coupled/immunology
- Receptors, G-Protein-Coupled/metabolism
- Signal Transduction/drug effects
- Signal Transduction/genetics
- THP-1 Cells
- Thrombospondins/genetics
- Thrombospondins/immunology
- Thrombospondins/metabolism
- Xenograft Model Antitumor Assays/methods
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Affiliation(s)
- Basit Salik
- Cancer and Stem Cell Biology Group, Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Hangyu Yi
- Cancer and Stem Cell Biology Group, Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Nunki Hassan
- Cancer and Stem Cell Biology Group, Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Nancy Santiappillai
- Cancer and Stem Cell Biology Group, Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Binje Vick
- German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), partner site Munich, Munich, Germany; Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Patrick Connerty
- Cancer and Stem Cell Biology Group, Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Alastair Duly
- Cancer and Stem Cell Biology Group, Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Toby Trahair
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Andrew J Woo
- Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, WA 6009, Australia
| | - Dominik Beck
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology Sydney, Sydney, Australia; Lowy Cancer Research Centre and the Prince of Wales Clinical School, University of New South Wales, Australia, Sydney, Australia
| | - Tao Liu
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Karsten Spiekermann
- German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), partner site Munich, Munich, Germany; Experimental Leukemia and Lymphoma Research (ELLF) Department of Internal Medicine 3, University Hospital, Ludwig-Maximilians-Universität München (LMU), Munich, Germany
| | - Irmela Jeremias
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany; Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany; Department of Pediatrics, Dr. von Hauner Childrens Hospital, Ludwig Maximilians University, Munich, Germany
| | - Jianlong Wang
- Department of Medicine, Columbia Center for Human Development, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Maria Kavallaris
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia; Australian Centre for NanoMedicine and ARC Centre of Excellence in Convergent Bio-Nano-Science and Technology, University of New South Wales, Sydney, NSW 2052, Australia
| | - Michelle Haber
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Murray D Norris
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Dan A Liebermann
- Fels Institute for Cancer Research and Molecular Biology and Department of Medical Genetics & Molecular Biochemistry, School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Richard J D'Andrea
- Acute Leukaemia Laboratory, Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | | | - Jenny Y Wang
- Cancer and Stem Cell Biology Group, Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2052, Australia.
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22
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Jin P, Tan Y, Zhang W, Li J, Wang K. Prognostic alternative mRNA splicing signatures and associated splicing factors in acute myeloid leukemia. Neoplasia 2020; 22:447-457. [PMID: 32653835 PMCID: PMC7356271 DOI: 10.1016/j.neo.2020.06.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/05/2020] [Accepted: 06/08/2020] [Indexed: 12/22/2022] Open
Abstract
The dysregulation of alternative splicing (AS) has emerged as a mechanism of acute myeloid leukemia (AML). However, the prognostic impact of AS events remains under-explored in AML. Here we report the prognostic value of AS events and associated splicing factors based on three datasets of AML patients. We defined the landscape of AS events in AML and identified 7033 AS events associated with the survival of AML patients. Based on these events, we further developed a composite 15 AS event-based prognostic signature, which was independent of the cytogenetic risk stratification and patient age, and showed a better performance than known gene expression signatures. More importantly, our new signature markedly improved the European LeukemiaNet (ELN) risk classification, indicating a broad applicability in the clinical management of AML. Furthermore, the splicing-regulatory network established the correlations between prognostic AS events and associated splicing factors. The finding was validated by CRISPR-based data, which indicated that the increased expression of RBM39 contributed to the higher exon inclusion of SETD5 and conferred a poor outcome. Together, AS events may serve as a novel assortment of prognosticators for AML and could refine the ELN risk stratification. The splicing regulatory network provides clues regarding the splicing factor-mediated mechanisms of AML.
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Affiliation(s)
- Peng Jin
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Tan
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Junmin Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kankan Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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23
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Identification of a prognostic LncRNA signature for ER-positive, ER-negative and triple-negative breast cancers. Breast Cancer Res Treat 2020; 183:95-105. [PMID: 32601968 DOI: 10.1007/s10549-020-05770-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 06/23/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE The development of multi-gene signatures has led to improvements in identification of breast cancer patients at high risk of recurrence. The prognostic power of commercially available gene signatures is mostly restricted to estrogen receptor (ER)-positive breast cancer. On the contrary, immune-related gene signatures predict prognosis only in ER-negative breast cancer. This study aimed to develop a better prognostic signature for breast cancer. METHODS The expressions of long non-coding RNA (lncRNA) genes from 30 independent microarray datasets with a total of 4813 samples were analyzed. A prognostic lncRNA signature was developed based on likelihood-ratio Cox regression analysis. Survival analysis was used to compare the prognostic efficiencies of our signature and 10 previously reported prognostic gene signatures. RESULTS Cox regression analysis on 30 independent datasets showed that the 6-lncRNA signature identified in this study performed as well as five commercially available signatures in recurrence prediction for ER-positive breast cancer. In ER-negative breast cancer, this lncRNA signature was as prognostic as three immune-related gene signatures. Moreover, our lncRNA signature also demonstrated a good capacity to predict recurrence risk for triple-negative breast cancer. Function analysis showed that several lncRNAs in this signature were probably involved in cell proliferation and immune processes. CONCLUSIONS A six-LncRNA signature was identified that is prognostic for ER-positive, ER-negative, and triple-negative breast cancers and thus deserves further validation in prospective studies.
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24
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Zhu L, Li Q, Wang X, Liao J, Zhang W, Gao L, Liu Y, Zhang C, Zhang X, Rao J, Kong P. THBS1 Is a Novel Serum Prognostic Factors of Acute Myeloid Leukemia. Front Oncol 2020; 9:1567. [PMID: 32117788 PMCID: PMC7020255 DOI: 10.3389/fonc.2019.01567] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 12/27/2019] [Indexed: 12/28/2022] Open
Abstract
Dysregulation of cytokines and growth factors is a general feature of tumor microenvironment, and unraveling the expression spectrum of cytokine and growth factor in niche is of utmost importance. Here, we evaluated cytokine profiling of bone marrow serum samples in AML patients and healthy controls. Protein expression profiling of serum from nine AML patients and five healthy controls was obtained using a biotinylated antibody chip. A total of 507 cytokines and growth factors were analyzed. Compared with healthy people, AML patients expressed 31 signature proteins, among which, 27 were significantly higher expressed and 4 proteins were lower. When patients were divided into favorable and poor prognosis, 12 signature proteins were significantly differentially expressed between these two groups. Furthermore, in order to identify the accuracy of cytokine expression profiles, we verified and analyzed the expression of THBS1 (Thrombospondin 1) in 116 patients and 9 healthy people. We found that THBS1 was lowly expressed in AML patients, which might be induced by promoter methylation, and patients with low THBS1 possessed shorter survivor time. Our data indicated that we successfully unveil differentially expressed proteins in AML patients using a biotinylated antibody chip; among them, THBS1 may be a potential therapeutic target for AML patients' treatment.
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Affiliation(s)
- Lidan Zhu
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Qiong Li
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Xiaoguo Wang
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Jun Liao
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Wei Zhang
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Lei Gao
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Yao Liu
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Cheng Zhang
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Xi Zhang
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Jun Rao
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Peiyan Kong
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
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25
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Papaioannou D, Petri A, Dovey OM, Terreri S, Wang E, Collins FA, Woodward LA, Walker AE, Nicolet D, Pepe F, Kumchala P, Bill M, Walker CJ, Karunasiri M, Mrózek K, Gardner ML, Camilotto V, Zitzer N, Cooper JL, Cai X, Rong-Mullins X, Kohlschmidt J, Archer KJ, Freitas MA, Zheng Y, Lee RJ, Aifantis I, Vassiliou G, Singh G, Kauppinen S, Bloomfield CD, Dorrance AM, Garzon R. The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia. Nat Commun 2019; 10:5351. [PMID: 31767858 PMCID: PMC6877618 DOI: 10.1038/s41467-019-13259-2] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 10/28/2019] [Indexed: 12/21/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are important regulatory molecules that are implicated in cellular physiology and pathology. In this work, we dissect the functional role of the HOXB-AS3 lncRNA in patients with NPM1-mutated (NPM1mut) acute myeloid leukemia (AML). We show that HOXB-AS3 regulates the proliferative capacity of NPM1mut AML blasts in vitro and in vivo. HOXB-AS3 is shown to interact with the ErbB3-binding protein 1 (EBP1) and guide EBP1 to the ribosomal DNA locus. Via this mechanism, HOXB-AS3 regulates ribosomal RNA transcription and de novo protein synthesis. We propose that in the context of NPM1 mutations, HOXB-AS3 overexpression acts as a compensatory mechanism, which allows adequate protein production in leukemic blasts.
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MESH Headings
- Acute Disease
- Animals
- Cell Line, Tumor
- Cell Proliferation
- HEK293 Cells
- Humans
- K562 Cells
- Leukemia, Myeloid/genetics
- Leukemia, Myeloid/pathology
- Mice, Inbred NOD
- Mice, Knockout
- Mice, SCID
- Mutation
- Nuclear Proteins/genetics
- Nucleophosmin
- Protein Biosynthesis/genetics
- RNA, Long Noncoding/genetics
- RNA, Ribosomal/genetics
- THP-1 Cells
- Transcription, Genetic
- Transplantation, Heterologous
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Affiliation(s)
| | - Andreas Petri
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark
| | - Oliver M Dovey
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Sara Terreri
- Institute of Genetics and Biophysics (IGB-ABT), National Council of Research (CNR), Naples, Italy
| | - Eric Wang
- Department of Pathology, New York University School of Medicine, New York, NY, USA
| | - Frances A Collins
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Lauren A Woodward
- Department of Molecular Genetics, Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| | - Allison E Walker
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Deedra Nicolet
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
- Alliance for Clinical Trials in Oncology Statistics and Data Center, The Ohio State University, Columbus, OH, USA
| | - Felice Pepe
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Prasanthi Kumchala
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Marius Bill
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | | | - Malith Karunasiri
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Krzysztof Mrózek
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Miranda L Gardner
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Virginia Camilotto
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Nina Zitzer
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Jonathan L Cooper
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Xiongwei Cai
- Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | - Xiaoqing Rong-Mullins
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Jessica Kohlschmidt
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
- Alliance for Clinical Trials in Oncology Statistics and Data Center, The Ohio State University, Columbus, OH, USA
| | - Kellie J Archer
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Michael A Freitas
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Yi Zheng
- Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | - Robert J Lee
- Division of Pharmaceutics, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Iannis Aifantis
- Department of Pathology, New York University School of Medicine, New York, NY, USA
| | - George Vassiliou
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
- Department of Haematology, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Guramrit Singh
- Department of Molecular Genetics, Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| | - Sakari Kauppinen
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark
| | - Clara D Bloomfield
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | | | - Ramiro Garzon
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA.
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26
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Zeng H, Wu H, Yan M, Tang L, Guo X, Zhao X. Characterization of a 4 lncRNAs-based prognostic risk scoring system in adults with acute myeloid leukemia. Leuk Res 2019; 88:106261. [PMID: 31739140 DOI: 10.1016/j.leukres.2019.106261] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 10/01/2019] [Accepted: 10/21/2019] [Indexed: 12/11/2022]
Abstract
PURPOSE The study aims to develop a prognostic scoring system based on prognostic lncRNAs for acute myeloid leukemia (AML). METHODS Based on lncRNA expression profiles downloaded from The Cancer Genome Atlas (TCGA), differentially expressed long noncoding RNAs (DELs) between good prognosis and bad prognosis samples were screened, from which prognosis-related lncRNAs were selected using uni-variate and multi-variate Cox regression analysis. Based on the expression profiles of these signature prognosis-related lncRNAs, a risk scoring system was developed and applied to a training set and validated on a testing set. With sample-matched mRNAs of the signature lncRNAs, lncRNA-mRNA networks were built, followed by function analysis for the mRNAs in these networks. RESULT Total 66 DELs were identified between good prognosis and bad prognosis samples. Among these DELs, LINC01003, CTD-2234N14, RP1-137K24, and RP11-834C111 were found to be independent predictors of prognosis. A risk scoring system based on the expressions of the 4 signature lncRNAs was developed. Kaplan-Meier survival analysis found that the risk score system could classify patients into high-risk and low-risk groups with significantly different survival outcomes. Function analysis showed that the mRNAs in these lncRNA-mRNA networks were significantly linked to mTOR signaling pathway, apoptosis, Fc epsilon RI signaling pathway, B cell receptor signaling pathway, natural killer cell mediated cytotoxicity, and T cell receptor signaling pathway. CONCLUSION This study suggested a promising 4 prognostic lncRNAs-based risk scoring system in AML. These 4 lncRNAs may play roles in regulating prognosis partly via mTOR signaling pathway, apoptosis, and some immune-related pathways.
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Affiliation(s)
- Hui Zeng
- Department of Hematology, The Frist Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, 314000, China
| | - Haibing Wu
- Department of Hematology, The Frist Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, 314000, China
| | - Minchao Yan
- Department of Hematology, The Frist Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, 314000, China
| | - Lun Tang
- Department of Hematology, The Frist Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, 314000, China
| | - Xiaojun Guo
- Department of Hematology, The Frist Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, 314000, China
| | - Xiaoyan Zhao
- Department of Hematology, The Frist Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, 314000, China.
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27
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Long noncoding RNA MIAT promotes the progression of acute myeloid leukemia by negatively regulating miR-495. Leuk Res 2019; 87:106265. [PMID: 31698307 DOI: 10.1016/j.leukres.2019.106265] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 10/21/2019] [Accepted: 10/23/2019] [Indexed: 12/13/2022]
Abstract
Acute myeloid leukemia (AML) is a malignant myeloid hematopoietic stem and progenitor cell disease. Studies have shown that the long noncoding RNA (lncRNA) myocardial infarction associated transcript (MIAT) is abundantly expressed in multiple human solid tumors. However, the expression and role of MIAT in AML has not been explored previously. In this study, we find that MIAT is overexpressed in AML patient specimens and AML cell lines. Importantly, upregulation of MIAT is closely related with poor clinical outcome. Further investigations reveal that knockdown of MIAT inhibits the colony formation and proliferation, meanwhile, accelerates the apoptosis of AML cells in vitro. Consistently, MIAT knockdown slows AML progression in immunodeficient mice. Mechanistically, we confirm that MIAT can function as a sponge to inhibit microRNA-495 (miR-495), a tumor suppressor, in AML cells. Collectively, our results demonstrate that MIAT is involved in promoting the progression of AML, at least partly, through negative regulation of miR-495, and therefore provide a promising target for treatment of AML.
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28
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Zimta AA, Tomuleasa C, Sahnoune I, Calin GA, Berindan-Neagoe I. Long Non-coding RNAs in Myeloid Malignancies. Front Oncol 2019; 9:1048. [PMID: 31681586 PMCID: PMC6813191 DOI: 10.3389/fonc.2019.01048] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 09/26/2019] [Indexed: 12/19/2022] Open
Abstract
Acute myeloid leukemia (AML) represents 80% of adult leukemias and 15-20% of childhood leukemias. AML are characterized by the presence of 20% blasts or more in the bone marrow, or defining cytogenetic abnormalities. Laboratory diagnoses of myelodysplastic syndromes (MDS) depend on morphological changes based on dysplasia in peripheral blood and bone marrow, including peripheral blood smears, bone marrow aspirate smears, and bone marrow biopsies. As leukemic cells are not functional, the patient develops anemia, neutropenia, and thrombocytopenia, leading to fatigue, recurrent infections, and hemorrhage. The genetic background and associated mutations in AML blasts determine the clinical course of the disease. Over the last decade, non-coding RNAs transcripts that do not codify for proteins but play a role in regulation of functions have been shown to have multiple applications in the diagnosis, prognosis and therapeutic approach of various types of cancers, including myeloid malignancies. After a comprehensive review of current literature, we found reports of multiple long non-coding RNAs (lncRNAs) that can differentiate between AML types and how their exogenous modulation can dramatically change the behavior of AML cells. These lncRNAs include: H19, LINC00877, RP11-84C10, CRINDE, RP11848P1.3, ZNF667-AS1, AC111000.4-202, SFMBT2, LINC02082-201, MEG3, AC009495.2, PVT1, HOTTIP, SNHG5, and CCAT1. In addition, by performing an analysis on available AML data in The Cancer Genome Atlas (TCGA), we found 10 lncRNAs with significantly differential expression between patients in favorable, intermediate/normal, or poor cytogenetic risk categories. These are: DANCR, PRDM16-DT, SNHG6, OIP5-AS1, SNHG16, JPX, FTX, KCNQ1OT1, TP73-AS1, and GAS5. The identification of a molecular signature based on lncRNAs has the potential for have deep clinical significance, as it could potentially help better define the evolution from low-grade MDS to high-grade MDS to AML, changing the course of therapy. This would allow clinicians to provide a more personalized, patient-tailored therapeutic approach, moving from transfusion-based therapy, as is the case for low-grade MDS, to the introduction of azacytidine-based chemotherapy or allogeneic stem cell transplantation, which is the current treatment for high-grade MDS.
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Affiliation(s)
- Alina-Andreea Zimta
- MedFuture - Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Ciprian Tomuleasa
- Department of Hematology, Research Center for Functional Genomics and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Hematology, Ion Chiricuta Clinical Cancer Center, Cluj-Napoca, Romania
| | - Iman Sahnoune
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - George A. Calin
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Center for RNA Interference and Non-Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ioana Berindan-Neagoe
- MedFuture - Research Center for Advanced Medicine, Research Center for Functional Genomics and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Functional Genomics and Experimental Pathology, Ion Chiricuta Clinical Cancer Center, Cluj-Napoca, Romania
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Thoms JAI, Beck D, Pimanda JE. Transcriptional networks in acute myeloid leukemia. Genes Chromosomes Cancer 2019; 58:859-874. [PMID: 31369171 DOI: 10.1002/gcc.22794] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 07/26/2019] [Accepted: 07/29/2019] [Indexed: 12/16/2022] Open
Abstract
Acute myeloid leukemia (AML) is a complex disease characterized by a diverse range of recurrent molecular aberrations that occur in many different combinations. Components of transcriptional networks are a common target of these aberrations, leading to network-wide changes and deployment of novel or developmentally inappropriate transcriptional programs. Genome-wide techniques are beginning to reveal the full complexity of normal hematopoietic stem cell transcriptional networks and the extent to which they are deregulated in AML, and new understandings of the mechanisms by which AML cells maintain self-renewal and block differentiation are starting to emerge. The hope is that increased understanding of the network architecture in AML will lead to identification of key oncogenic dependencies that are downstream of multiple network aberrations, and that this knowledge will be translated into new therapies that target these dependencies. Here, we review the current state of knowledge of network perturbation in AML with a focus on major mechanisms of transcription factor dysregulation, including mutation, translocation, and transcriptional dysregulation, and discuss how these perturbations propagate across transcriptional networks. We will also review emerging mechanisms of network disruption, and briefly discuss how increased knowledge of network disruption is already being used to develop new therapies.
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Affiliation(s)
- Julie A I Thoms
- School of Medical Sciences, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Dominik Beck
- School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales, Australia.,Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - John E Pimanda
- School of Medical Sciences, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia.,Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia.,Department of Haematology, Prince of Wales Hospital, Sydney, New South Wales, Australia
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30
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Ng M, Heckl D, Klusmann JH. The Regulatory Roles of Long Noncoding RNAs in Acute Myeloid Leukemia. Front Oncol 2019; 9:570. [PMID: 31338324 PMCID: PMC6629768 DOI: 10.3389/fonc.2019.00570] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 06/12/2019] [Indexed: 01/23/2023] Open
Abstract
In this post-genomic era, long noncoding RNAs (lncRNAs) are rapidly gaining recognition for their crucial roles across diverse biological processes and contexts. The human blood system is no exception, where dozens of lncRNAs have been established as regulators of normal and/or malignant hematopoiesis, and where ongoing works continue to uncover novel lncRNA functions. Our review focuses on lncRNAs that are involved in the pathogenesis of acute myeloid leukemia (AML) and the mechanisms through which they control gene expression in this disease context. We also comment on genome-wide sequencing or profiling studies that have implicated large sets of lncRNAs in AML pathophysiology.
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Affiliation(s)
- Michelle Ng
- Department of Pediatrics I, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Dirk Heckl
- Department of Pediatrics I, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Jan-Henning Klusmann
- Department of Pediatrics I, Martin Luther University Halle-Wittenberg, Halle, Germany
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31
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Tsai CH, Yao CY, Tien FM, Tang JL, Kuo YY, Chiu YC, Lin CC, Tseng MH, Peng YL, Liu MC, Liu CW, Yao M, Lin LI, Chou WC, Chen CY, Hou HA, Tien HF. Incorporation of long non-coding RNA expression profile in the 2017 ELN risk classification can improve prognostic prediction of acute myeloid leukemia patients. EBioMedicine 2019; 40:240-250. [PMID: 30662003 PMCID: PMC6413345 DOI: 10.1016/j.ebiom.2019.01.022] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 01/05/2019] [Accepted: 01/08/2019] [Indexed: 12/11/2022] Open
Abstract
Background Expression of long non-coding RNAs (lncRNAs) has recently been recognized as a potential prognostic marker in acute myeloid leukemia (AML). However, it remains unclear whether incorporation of the lncRNAs expression in the 2017 European LeukemiaNet (ELN) risk classification can further improve the prognostic prediction. Methods We enrolled 275 newly diagnosed non-M3 AML patients and randomly assigned them to the training (n = 183) and validation cohorts (n = 92). In the training cohort, we formulated a prognostic lncRNA scoring system composed of five lncRNAs with significant prognostic impact from the lncRNA expression profiling. Findings Higher lncRNA scores were significantly associated with older age and adverse gene mutations. Further, the higher-score patients had shorter overall and disease-free survival than lower-score patients, which were also confirmed in both internal and external validation cohorts (TCGA database). The multivariate analyses revealed the lncRNA score was an independent prognosticator in AML, irrespective of the risk based on the 2017 ELN classification. Moreover, in the 2017 ELN intermediate-risk subgroup, lncRNA scoring system could well dichotomize the patients into two groups with distinct prognosis. Within the ELN intermediate-risk subgroup, we found that allogeneic hematopoietic stem cell transplantation could provide better outcome on patients with higher lncRNA scores. Through bioinformatics approach, we identified high lncRNA scores were correlated with leukemia/hematopoietic stem cell signatures. Interpretation Incorporation of lncRNA scoring system in 2017 ELN classification can improve risk-stratification of AML patients and help clinical decision-making. Fund This work was supported Ministry of Science and Technology, and Ministry of Health and Welfare of Taiwan.
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Affiliation(s)
- Cheng-Hong Tsai
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan; Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan
| | - Chi-Yuan Yao
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Feng-Min Tien
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Jih-Luh Tang
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | - Yuan-Yeh Kuo
- Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | - Yu-Chiao Chiu
- Greehey Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Chien-Chin Lin
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Departments of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Mei-Hsuan Tseng
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yen-Ling Peng
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming-Chih Liu
- Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-Wen Liu
- Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming Yao
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Liang-In Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Chien Chou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Departments of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Yu Chen
- Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan; Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan
| | - Hsin-An Hou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
| | - Hwei-Fang Tien
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
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Long intergenic non-coding RNAs have an independent impact on survival in multiple myeloma. Leukemia 2018; 32:2626-2635. [PMID: 29749396 PMCID: PMC6163089 DOI: 10.1038/s41375-018-0116-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 01/02/2018] [Indexed: 01/16/2023]
Abstract
Although long intergenic non-coding RNAs(lincRNA) role in various cancers is described, their significance in Multiple Myeloma(MM) remains poorly defined. Here we have studied the lincRNA profile and their clinical impact in MM. We performed RNA-seq on MM cells from 308 newly-diagnosed and uniformly-treated patients, 16 normal plasma cells and utilized RNA-seq data from 532 newly-diagnosed patients from CoMMpass study to analyze for lincRNAs. We observed 869 differentially expressed lincRNAs in MM compared to normal plasma cells. We identified 14 lincRNAs associated with PFS and calculated a risk score to stratify patients. The median PFS between high vs low-risk groups was 17 months vs not-reached(NR); and OS 30 months vs NR, respectively(p<0.0001 for both). In the independent validation dataset between high and low-risk groups, PFS was 27 vs 42 months(HR 2.06[1.44–2.96];p<0.0005); and 4-year OS 62% vs 86%(HR 2.76[1.51–5.05];p<.0005) confirming significant clinical relevance of lincRNA in MM. Importantly, lincRNA signature was able to further identify patients with significant differential outcomes within each low and high-risk categories identified using standard risk categorization including cytogenetic/FISH, ISS, and MRD negative or positive. Our results suggest that lincRNAs have an independent effect on MM outcome and provide a rationale to evaluate its molecular and biological impact.
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