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Eiken AP, Schmitz E, Drengler EM, Smith AL, Skupa SA, Mohan K, Rana S, Singh S, Mallareddy JR, Mathew G, Natarajan A, El-Gamal D. The Novel Anti-Cancer Agent, SpiD3, Is Cytotoxic in CLL Cells Resistant to Ibrutinib or Venetoclax. HEMATO 2024; 5:321-339. [PMID: 39450301 PMCID: PMC11500768 DOI: 10.3390/hemato5030024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/26/2024]
Abstract
Background B-cell receptor (BCR) signaling is a central driver in chronic lymphocytic leukemia (CLL), along with the activation of pro-survival pathways (e.g., NF-κB) and aberrant anti-apoptotic mechanisms (e.g., BCL2) culminating to CLL cell survival and drug resistance. Front-line targeted therapies such as ibrutinib (BTK inhibitor) and venetoclax (BCL2 inhibitor) have radically improved CLL management. Yet, persisting CLL cells lead to relapse in ~20% of patients, signifying the unmet need of inhibitor-resistant refractory CLL. SpiD3 is a novel spirocyclic dimer of analog 19 that displays NF-κB inhibitory activity and preclinical anti-cancer properties. Recently, we have shown that SpiD3 inhibits CLL cell proliferation and induces cytotoxicity by promoting futile activation of the unfolded protein response (UPR) pathway and generation of reactive oxygen species (ROS), resulting in the inhibition of protein synthesis in CLL cells. Methods We performed RNA-sequencing using CLL cells rendered resistant to ibrutinib and venetoclax to explore potential vulnerabilities in inhibitor-resistant and SpiD3-treated CLL cells. Results The transcriptomic analysis of ibrutinib- or venetoclax-resistant CLL cell lines revealed ferroptosis, UPR signaling, and oxidative stress to be among the top pathways modulated by SpiD3 treatment. By examining SpiD3-induced protein aggregation, ROS production, and ferroptosis in inhibitor-resistant CLL cells, our findings demonstrate cytotoxicity following SpiD3 treatment in cell lines resistant to current front-line CLL therapeutics. Conclusions Our results substantiate the development of SpiD3 as a novel therapeutic agent for relapsed/refractory CLL disease.
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Affiliation(s)
- Alexandria P. Eiken
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Elizabeth Schmitz
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Erin M. Drengler
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Audrey L. Smith
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Sydney A. Skupa
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Kabhilan Mohan
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Sandeep Rana
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Sarbjit Singh
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Jayapal Reddy Mallareddy
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Grinu Mathew
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Amarnath Natarajan
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Dalia El-Gamal
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
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Favale G, Donnarumma F, Capone V, Della Torre L, Beato A, Carannante D, Verrilli G, Nawaz A, Grimaldi F, De Simone MC, Del Gaudio N, Megchelenbrink WL, Caraglia M, Benedetti R, Altucci L, Carafa V. Deregulation of New Cell Death Mechanisms in Leukemia. Cancers (Basel) 2024; 16:1657. [PMID: 38730609 PMCID: PMC11083363 DOI: 10.3390/cancers16091657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024] Open
Abstract
Hematological malignancies are among the top five most frequent forms of cancer in developed countries worldwide. Although the new therapeutic approaches have improved the quality and the life expectancy of patients, the high rate of recurrence and drug resistance are the main issues for counteracting blood disorders. Chemotherapy-resistant leukemic clones activate molecular processes for biological survival, preventing the activation of regulated cell death pathways, leading to cancer progression. In the past decade, leukemia research has predominantly centered around modulating the well-established processes of apoptosis (type I cell death) and autophagy (type II cell death). However, the development of therapy resistance and the adaptive nature of leukemic clones have rendered targeting these cell death pathways ineffective. The identification of novel cell death mechanisms, as categorized by the Nomenclature Committee on Cell Death (NCCD), has provided researchers with new tools to overcome survival mechanisms and activate alternative molecular pathways. This review aims to synthesize information on these recently discovered RCD mechanisms in the major types of leukemia, providing researchers with a comprehensive overview of cell death and its modulation.
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Affiliation(s)
- Gregorio Favale
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Federica Donnarumma
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Vincenza Capone
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Laura Della Torre
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Antonio Beato
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Daniela Carannante
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Giulia Verrilli
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Asmat Nawaz
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
- Biogem, Molecular Biology and Genetics Research Institute, 83031 Ariano Irpino, Italy
| | - Francesco Grimaldi
- Dipartimento di Medicina Clinica e Chirurgia, Divisione di Ematologia, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy;
| | | | - Nunzio Del Gaudio
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Wouter Leonard Megchelenbrink
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands
| | - Michele Caraglia
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
- Biogem, Molecular Biology and Genetics Research Institute, 83031 Ariano Irpino, Italy
| | - Rosaria Benedetti
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
| | - Lucia Altucci
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
- Biogem, Molecular Biology and Genetics Research Institute, 83031 Ariano Irpino, Italy
- Institute of Experimental Endocrinology and Oncology “Gaetano Salvatore” (IEOS)-National Research Council (CNR), 80131 Napoli, Italy
- Programma di Epigenetica Medica, A.O.U. “Luigi Vanvitelli”, 80138 Napoli, Italy
| | - Vincenzo Carafa
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (G.F.); (F.D.); (V.C.); (L.D.T.); (A.B.); (D.C.); (G.V.); (A.N.); (N.D.G.); (W.L.M.); (M.C.); (R.B.); (L.A.)
- Biogem, Molecular Biology and Genetics Research Institute, 83031 Ariano Irpino, Italy
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Ashoub MH, Razavi R, Heydaryan K, Salavati-Niasari M, Amiri M. Targeting ferroptosis for leukemia therapy: exploring novel strategies from its mechanisms and role in leukemia based on nanotechnology. Eur J Med Res 2024; 29:224. [PMID: 38594732 PMCID: PMC11003188 DOI: 10.1186/s40001-024-01822-7] [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: 10/05/2023] [Accepted: 03/30/2024] [Indexed: 04/11/2024] Open
Abstract
The latest findings in iron metabolism and the newly uncovered process of ferroptosis have paved the way for new potential strategies in anti-leukemia treatments. In the current project, we reviewed and summarized the current role of nanomedicine in the treatment and diagnosis of leukemia through a comparison made between traditional approaches applied in the treatment and diagnosis of leukemia via the existing investigations about the ferroptosis molecular mechanisms involved in various anti-tumor treatments. The application of nanotechnology and other novel technologies may provide a new direction in ferroptosis-driven leukemia therapies. The article explores the potential of targeting ferroptosis, a new form of regulated cell death, as a new therapeutic strategy for leukemia. It discusses the mechanisms of ferroptosis and its role in leukemia and how nanotechnology can enhance the delivery and efficacy of ferroptosis-inducing agents. The article not only highlights the promise of ferroptosis-targeted therapies and nanotechnology in revolutionizing leukemia treatment, but also calls for further research to overcome challenges and fully realize the clinical potential of this innovative approach. Finally, it discusses the challenges and opportunities in clinical applications of ferroptosis.
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Affiliation(s)
- Muhammad Hossein Ashoub
- Department of Hematology and Medical Laboratory Sciences, Faculty of Allied Medicine, Kerman University of Medical Sciences, Kerman, Iran
- Stem Cells and Regenerative Medicine Innovation Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Razieh Razavi
- Department of Chemistry, Faculty of Science, University of Jiroft, Jiroft, Iran
| | - Kamran Heydaryan
- Department of Medical Biochemical Analysis, Cihan University-Erbil, Kurdistan Region, Iraq
| | - Masoud Salavati-Niasari
- Institute of Nano Science and Nano Technology, University of Kashan, P.O. Box 87317-51167, Kashan, Iran
| | - Mahnaz Amiri
- Student Research Committee, Faculty of Allied Medicine, Kerman University of Medical Sciences, Kerman, Iran.
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Science, Kerman, Iran.
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Sarkar S, Roy D, Chatterjee B, Ghosh R. Clinical advances in analytical profiling of signature lipids: implications for severe non-communicable and neurodegenerative diseases. Metabolomics 2024; 20:37. [PMID: 38459207 DOI: 10.1007/s11306-024-02100-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/06/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Lipids play key roles in numerous biological processes, including energy storage, cell membrane structure, signaling, immune responses, and homeostasis, making lipidomics a vital branch of metabolomics that analyzes and characterizes a wide range of lipid classes. Addressing the complex etiology, age-related risk, progression, inflammation, and research overlap in conditions like Alzheimer's Disease, Parkinson's Disease, Cardiovascular Diseases, and Cancer poses significant challenges in the quest for effective therapeutic targets, improved diagnostic markers, and advanced treatments. Mass spectrometry is an indispensable tool in clinical lipidomics, delivering quantitative and structural lipid data, and its integration with technologies like Liquid Chromatography (LC), Magnetic Resonance Imaging (MRI), and few emerging Matrix-Assisted Laser Desorption Ionization- Imaging Mass Spectrometry (MALDI-IMS) along with its incorporation into Tissue Microarray (TMA) represents current advances. These innovations enhance lipidomics assessment, bolster accuracy, and offer insights into lipid subcellular localization, dynamics, and functional roles in disease contexts. AIM OF THE REVIEW The review article summarizes recent advancements in lipidomic methodologies from 2019 to 2023 for diagnosing major neurodegenerative diseases, Alzheimer's and Parkinson's, serious non-communicable cardiovascular diseases and cancer, emphasizing the role of lipid level variations, and highlighting the potential of lipidomics data integration with genomics and proteomics to improve disease understanding and innovative prognostic, diagnostic and therapeutic strategies. KEY SCIENTIFIC CONCEPTS OF REVIEW Clinical lipidomic studies are a promising approach to track and analyze lipid profiles, revealing their crucial roles in various diseases. This lipid-focused research provides insights into disease mechanisms, biomarker identification, and potential therapeutic targets, advancing our understanding and management of conditions such as Alzheimer's Disease, Parkinson's Disease, Cardiovascular Diseases, and specific cancers.
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Affiliation(s)
- Sutanu Sarkar
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Deotima Roy
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Bhaskar Chatterjee
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Rajgourab Ghosh
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India.
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Chen Z, Zheng S, Han J, Fu L, Fu J, Zhang Z, Hong P, Feng W. Molecular mechanisms of ferroptosis and its roles in leukemia. Front Oncol 2023; 13:1308869. [PMID: 38125948 PMCID: PMC10731040 DOI: 10.3389/fonc.2023.1308869] [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: 10/07/2023] [Accepted: 11/24/2023] [Indexed: 12/23/2023] Open
Abstract
Cell death is a complex process required to maintain homeostasis and occurs when cells are damage or reach end of life. As research progresses, it is apparent that necrosis and apoptosis do not fully explain the whole phenomenon of cell death. Therefore, new death modalities such as autophagic cell death, and ferroptosis have been proposed. In recent years, ferroptosis, a new type of non-apoptotic cell death characterized by iron-dependent lipid peroxidation and reactive oxygen species (ROS) accumulation, has been receiving increasing attention. Ferroptosis can be involved in the pathological processes of many disorders, such as ischemia-reperfusion injury, nervous system diseases, and blood diseases. However, the specific mechanisms by which ferroptosis participates in the occurrence and development of leukemia still need to be more fully and deeply studied. In this review, we present the research progress on the mechanism of ferroptosis and its role in leukemia, to provide new theoretical basis and strategies for the diagnosis and treatment of clinical hematological diseases.
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Affiliation(s)
| | | | | | | | | | | | | | - Weiying Feng
- Department of Hematology, Shaoxing People’s Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, China
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Yu T, Xu-Monette ZY, Yu L, Li Y, Young KH. Mechanisms of ferroptosis and targeted therapeutic approaches in lymphoma. Cell Death Dis 2023; 14:771. [PMID: 38007476 PMCID: PMC10676406 DOI: 10.1038/s41419-023-06295-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/31/2023] [Accepted: 11/13/2023] [Indexed: 11/27/2023]
Abstract
Lymphoma is the sixth most common type of cancer worldwide. Under the current treatment standards, patients with lymphoma often fail to respond to treatment or relapse early and require further therapy. Hence, novel therapeutic strategies need to be explored and our understanding of the molecular underpinnings of lymphomas should be expanded. Ferroptosis, a non-apoptotic regulated cell death, is characterized by increased reactive oxygen species and lipid peroxidation due to metabolic dysfunction. Excessive or lack of ferroptosis has been implicated in tumor development. Current preclinical evidences suggest that ferroptosis participates in tumorigenesis, progression, and drug resistance of lymphoma, identifying a potential biomarker and an attractive molecular target. Our review summarizes the core mechanisms and regulatory networks of ferroptosis and discusses existing evidences of ferroptosis induction for the treatment of lymphoma, with intent to provide a framework for understanding the role of ferroptosis in lymphomagenesis and a new perspective of lymphoma treatment.
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Affiliation(s)
- Tiantian Yu
- Hematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, USA
- Department of Hematology and Oncology, The Second Affiliated Hospital of NanChang University, Nanchang, China
| | - Zijun Y Xu-Monette
- Hematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - Li Yu
- Department of Hematology and Oncology, The Second Affiliated Hospital of NanChang University, Nanchang, China
| | - Yong Li
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Ken H Young
- Hematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, USA.
- Duke Cancer Institute, Durham, NC, USA.
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Morabito F, Adornetto C, Monti P, Amaro A, Reggiani F, Colombo M, Rodriguez-Aldana Y, Tripepi G, D’Arrigo G, Vener C, Torricelli F, Rossi T, Neri A, Ferrarini M, Cutrona G, Gentile M, Greco G. Genes selection using deep learning and explainable artificial intelligence for chronic lymphocytic leukemia predicting the need and time to therapy. Front Oncol 2023; 13:1198992. [PMID: 37719021 PMCID: PMC10501728 DOI: 10.3389/fonc.2023.1198992] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 07/31/2023] [Indexed: 09/19/2023] Open
Abstract
Analyzing gene expression profiles (GEP) through artificial intelligence provides meaningful insight into cancer disease. This study introduces DeepSHAP Autoencoder Filter for Genes Selection (DSAF-GS), a novel deep learning and explainable artificial intelligence-based approach for feature selection in genomics-scale data. DSAF-GS exploits the autoencoder's reconstruction capabilities without changing the original feature space, enhancing the interpretation of the results. Explainable artificial intelligence is then used to select the informative genes for chronic lymphocytic leukemia prognosis of 217 cases from a GEP database comprising roughly 20,000 genes. The model for prognosis prediction achieved an accuracy of 86.4%, a sensitivity of 85.0%, and a specificity of 87.5%. According to the proposed approach, predictions were strongly influenced by CEACAM19 and PIGP, moderately influenced by MKL1 and GNE, and poorly influenced by other genes. The 10 most influential genes were selected for further analysis. Among them, FADD, FIBP, FIBP, GNE, IGF1R, MKL1, PIGP, and SLC39A6 were identified in the Reactome pathway database as involved in signal transduction, transcription, protein metabolism, immune system, cell cycle, and apoptosis. Moreover, according to the network model of the 3D protein-protein interaction (PPI) explored using the NetworkAnalyst tool, FADD, FIBP, IGF1R, QTRT1, GNE, SLC39A6, and MKL1 appear coupled into a complex network. Finally, all 10 selected genes showed a predictive power on time to first treatment (TTFT) in univariate analyses on a basic prognostic model including IGHV mutational status, del(11q) and del(17p), NOTCH1 mutations, β2-microglobulin, Rai stage, and B-lymphocytosis known to predict TTFT in CLL. However, only IGF1R [hazard ratio (HR) 1.41, 95% CI 1.08-1.84, P=0.013), COL28A1 (HR 0.32, 95% CI 0.10-0.97, P=0.045), and QTRT1 (HR 7.73, 95% CI 2.48-24.04, P<0.001) genes were significantly associated with TTFT in multivariable analyses when combined with the prognostic factors of the basic model, ultimately increasing the Harrell's c-index and the explained variation to 78.6% (versus 76.5% of the basic prognostic model) and 52.6% (versus 42.2% of the basic prognostic model), respectively. Also, the goodness of model fit was enhanced (χ2 = 20.1, P=0.002), indicating its improved performance above the basic prognostic model. In conclusion, DSAF-GS identified a group of significant genes for CLL prognosis, suggesting future directions for bio-molecular research.
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Affiliation(s)
| | - Carlo Adornetto
- Department of Mathematics and Computer Science, University of Calabria, Cosenza, Italy
| | - Paola Monti
- Mutagenesis and Cancer Prevention Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Adriana Amaro
- Tumor Epigenetics Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Francesco Reggiani
- Tumor Epigenetics Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Monica Colombo
- Molecular Pathology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Giovanni Tripepi
- Consiglio Nazionale delle Ricerche, Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche (CNR), Reggio Calabria, Italy
| | - Graziella D’Arrigo
- Consiglio Nazionale delle Ricerche, Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche (CNR), Reggio Calabria, Italy
| | - Claudia Vener
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Federica Torricelli
- Laboratory of Translational Research, Azienda Unità Sanitaria Locale - Istituto di Ricovero e Cura a Crabtree Scientifico (USL-IRCCS) of Reggio Emilia, Reggio Emilia, Italy
| | - Teresa Rossi
- Laboratory of Translational Research, Azienda Unità Sanitaria Locale - Istituto di Ricovero e Cura a Crabtree Scientifico (USL-IRCCS) of Reggio Emilia, Reggio Emilia, Italy
| | - Antonino Neri
- Scientific Directorate, Azienda Unità Sanitaria Locale - Istituto di Ricovero e Cura a Carattere Scientifico (USL-IRCCS) of Reggio Emilia, Reggio Emilia, Italy
| | - Manlio Ferrarini
- Unità Operariva (UO) Molecular Pathology, Ospedale Policlinico San Martino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Genoa, Italy
| | - Giovanna Cutrona
- Molecular Pathology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Massimo Gentile
- Hematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (A.O.) of Cosenza, Cosenza, Italy
- Department of Pharmacy and Health and Nutritional Sciences, University of Calabria, Cosenza, Italy
| | - Gianluigi Greco
- Department of Mathematics and Computer Science, University of Calabria, Cosenza, Italy
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Mynott RL, Habib A, Best OG, Wallington-Gates CT. Ferroptosis in Haematological Malignancies and Associated Therapeutic Nanotechnologies. Int J Mol Sci 2023; 24:ijms24087661. [PMID: 37108836 PMCID: PMC10146166 DOI: 10.3390/ijms24087661] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 04/29/2023] Open
Abstract
Haematological malignancies are heterogeneous groups of cancers of the bone marrow, blood or lymph nodes, and while therapeutic advances have greatly improved the lifespan and quality of life of those afflicted, many of these cancers remain incurable. The iron-dependent, lipid oxidation-mediated form of cell death, ferroptosis, has emerged as a promising pathway to induce cancer cell death, particularly in those malignancies that are resistant to traditional apoptosis-inducing therapies. Although promising findings have been published in several solid and haematological malignancies, the major drawbacks of ferroptosis-inducing therapies are efficient drug delivery and toxicities to healthy tissue. The development of tumour-targeting and precision medicines, particularly when combined with nanotechnologies, holds potential as a way in which to overcome these obstacles and progress ferroptosis-inducing therapies into the clinic. Here, we review the current state-of-play of ferroptosis in haematological malignancies as well as encouraging discoveries in the field of ferroptosis nanotechnologies. While the research into ferroptosis nanotechnologies in haematological malignancies is limited, its pre-clinical success in solid tumours suggests this is a very feasible therapeutic approach to treat blood cancers such as multiple myeloma, lymphoma and leukaemia.
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Affiliation(s)
- Rachel L Mynott
- Flinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA 5042, Australia
| | - Ali Habib
- Flinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA 5042, Australia
| | - Oliver G Best
- Flinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA 5042, Australia
| | - Craig T Wallington-Gates
- Flinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA 5042, Australia
- Flinders Medical Centre, Bedford Park, SA 5042, Australia
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Akiyama H, Carter BZ, Andreeff M, Ishizawa J. Molecular Mechanisms of Ferroptosis and Updates of Ferroptosis Studies in Cancers and Leukemia. Cells 2023; 12:1128. [PMID: 37190037 PMCID: PMC10136912 DOI: 10.3390/cells12081128] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 05/17/2023] Open
Abstract
Ferroptosis is a mode of cell death regulated by iron-dependent lipid peroxidation. Growing evidence suggests ferroptosis induction as a novel anti-cancer modality that could potentially overcome therapy resistance in cancers. The molecular mechanisms involved in the regulation of ferroptosis are complex and highly dependent on context. Therefore, a comprehensive understanding of its execution and protection machinery in each tumor type is necessary for the implementation of this unique cell death mode to target individual cancers. Since most of the current evidence for ferroptosis regulation mechanisms is based on solid cancer studies, the knowledge of ferroptosis with regard to leukemia is largely lacking. In this review, we summarize the current understanding of ferroptosis-regulating mechanisms with respect to the metabolism of phospholipids and iron as well as major anti-oxidative pathways that protect cells from ferroptosis. We also highlight the diverse impact of p53, a master regulator of cell death and cellular metabolic processes, on the regulation of ferroptosis. Lastly, we discuss recent ferroptosis studies in leukemia and provide a future perspective for the development of promising anti-leukemia therapies implementing ferroptosis induction.
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Affiliation(s)
| | | | | | - Jo Ishizawa
- Section of Molecular Hematology and Therapy, Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (H.A.); (B.Z.C.); (M.A.)
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Xu Z, Pan B, Li Y, Xia Y, Liang J, Kong Y, Zhang X, Tang J, Wang L, Li J, Xu W, Wu J. Identification and Validation of Ferroptosis-Related LncRNAs Signature as a Novel Prognostic Model for Chronic Lymphocytic Leukemia. Int J Gen Med 2023; 16:1541-1553. [PMID: 37131869 PMCID: PMC10149066 DOI: 10.2147/ijgm.s399629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 03/27/2023] [Indexed: 05/04/2023] Open
Abstract
Background Chronic lymphocytic leukemia (CLL) is a subtype of B-cell malignancy with high heterogeneity. Ferroptosis is a novel cell death induced by iron and lipid peroxidation and exhibits prognostic value in many cancers. Emerging studies on long non-coding RNAs (lncRNAs) and ferroptosis reveal the unique value in tumorigenesis. However, the prognostic value of ferroptosis-related lncRNAs (FRLs) remains unclear in CLL. Aim We aimed to construct a FRLs risk model to predict prognosis and improve prognostic stratification for clinical practice. Methods RNA-sequencing data and clinical characteristics of CLL patients were downloaded from the GEO database. Based on ferroptosis-related genes from FerrDb database, differentially expressed FRLs with prognostic significance were identified and used to generate the risk model. The capability of the risk model was assessed and evaluated. GO and KEGG analyses were performed to confirm biological roles and potential pathways. Results A novel ferroptosis-related lncRNAs prognostic score (FPS) model containing six FRLs (PRKCQ, TRG.AS1, LNC00467, LNC01096, PCAT6 and SBF2.AS1) was identified. Patients in the training and validation cohort were evenly divided into high- and low-risk groups. Our results indicated that patients in the high-risk group had worse survival than those in the low-risk group. Functional enrichment analyses showed that the differently expressed genes (DEGs) between the two groups were enriched in the chemokine signaling pathway, hematopoietic cell lineage, T cell differentiation, TCR pathway and NF-κB pathway. Moreover, significant differences in immune cell infiltration were also observed. Surprisingly, FPS was proved to be an independent prognostic indicator for OS. Conclusion We established and evaluated a novel prognostic risk model with 6 FRLs that could predict prognosis accurately and describe the distinct immune infiltration in CLL.
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Affiliation(s)
- Zhangdi Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Bihui Pan
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yue Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yi Xia
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jinhua Liang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yilin Kong
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Xinyu Zhang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jing Tang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Li Wang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jianyong Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Wei Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jiazhu Wu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
- Correspondence: Jiazhu Wu; Wei Xu, Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People’s Republic of China, Tel +86-25-83781120, Fax +86-25-83781120, Email ;
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