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Pilié PG, Giuliani V, Wang WL, McGrail DJ, Bristow CA, Ngoi NY, Kyewalabye K, Wani KM, Le H, Campbell E, Sanchez NS, Yang D, Gheeya JS, Goswamy RV, Holla V, Shaw KR, Meric-Bernstam F, Liu CY, Ma X, Feng N, Machado AA, Bardenhagen JP, Vellano CP, Marszalek JR, Rajendra E, Piscitello D, Johnson TI, Likhatcheva M, Elinati E, Majithiya J, Neves J, Grinkevich V, Ranzani M, Luzarraga MR, Boursier M, Armstrong L, Geo L, Lillo G, Tse WY, Lazar AJ, Kopetz SE, Geck Do MK, Lively S, Johnson MG, Robinson HM, Smith GC, Carroll CL, Di Francesco ME, Jones P, Heffernan TP, Yap TA. Ataxia-Telangiectasia Mutated Loss-of-Function Displays Variant and Tissue-Specific Differences across Tumor Types. Clin Cancer Res 2024; 30:2121-2139. [PMID: 38416404 PMCID: PMC11094420 DOI: 10.1158/1078-0432.ccr-23-1763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/31/2023] [Accepted: 02/21/2024] [Indexed: 02/29/2024]
Abstract
PURPOSE Mutations in the ATM gene are common in multiple cancers, but clinical studies of therapies targeting ATM-aberrant cancers have yielded mixed results. Refinement of ATM loss of function (LOF) as a predictive biomarker of response is urgently needed. EXPERIMENTAL DESIGN We present the first disclosure and preclinical development of a novel, selective ATR inhibitor, ART0380, and test its antitumor activity in multiple preclinical cancer models. To refine ATM LOF as a predictive biomarker, we performed a comprehensive pan-cancer analysis of ATM variants in patient tumors and then assessed the ATM variant-to-protein relationship. Finally, we assessed a novel ATM LOF biomarker approach in retrospective clinical data sets of patients treated with platinum-based chemotherapy or ATR inhibition. RESULTS ART0380 had potent, selective antitumor activity in a range of preclinical cancer models with differing degrees of ATM LOF. Pan-cancer analysis identified 10,609 ATM variants in 8,587 patient tumors. Cancer lineage-specific differences were seen in the prevalence of deleterious (Tier 1) versus unknown/benign (Tier 2) variants, selective pressure for loss of heterozygosity, and concordance between a deleterious variant and ATM loss of protein (LOP). A novel ATM LOF biomarker approach that accounts for variant classification, relationship to ATM LOP, and tissue-specific penetrance significantly enriched for patients who benefited from platinum-based chemotherapy or ATR inhibition. CONCLUSIONS These data help to better define ATM LOF across tumor types in order to optimize patient selection and improve molecularly targeted therapeutic approaches for patients with ATM LOF cancers.
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Affiliation(s)
- Patrick G. Pilié
- Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Virginia Giuliani
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wei-Lien Wang
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Daniel J. McGrail
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, Ohio
| | - Christopher A. Bristow
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Natalie Y.L. Ngoi
- Department of Investigational Cancer Therapeutics (Phase I Program), Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Keith Kyewalabye
- Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Khalida M. Wani
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hung Le
- Department of Investigational Cancer Therapeutics (Phase I Program), Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Erick Campbell
- Department of Investigational Cancer Therapeutics (Phase I Program), Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Nora S. Sanchez
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dong Yang
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jinesh S. Gheeya
- The University of Texas Health Science Center at Houston, Houston, Texas
| | | | - Vijaykumar Holla
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kenna Rael Shaw
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics (Phase I Program), Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chiu-Yi Liu
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - XiaoYan Ma
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ningping Feng
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Annette A. Machado
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jennifer P. Bardenhagen
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christopher P. Vellano
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Joseph R. Marszalek
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Eeson Rajendra
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Desiree Piscitello
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Timothy I. Johnson
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Maria Likhatcheva
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Elias Elinati
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Jayesh Majithiya
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Joana Neves
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Vera Grinkevich
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Marco Ranzani
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Marina Roy Luzarraga
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Marie Boursier
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Lucy Armstrong
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Lerin Geo
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Giorgia Lillo
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Wai Yiu Tse
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Alexander J. Lazar
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Scott E. Kopetz
- Department of Gastrointestinal Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mary K. Geck Do
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sarah Lively
- ChemPartner Corporation, San Francisco, California
| | | | - Helen M.R. Robinson
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Graeme C.M. Smith
- Artios Pharma, the Glenn Berge Building, Babraham Research Campus, Cambridge, United Kingdom
| | - Christopher L. Carroll
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - M. Emilia Di Francesco
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Philip Jones
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Timothy P. Heffernan
- TRACTION (Translational Research to Advance Therapeutics and Innovation in Oncology), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Timothy A. Yap
- Department of Investigational Cancer Therapeutics (Phase I Program), Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
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2
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Long ME, Koirala S, Sloan S, Brown-Burke F, Weigel C, Villagomez L, Corps K, Sharma A, Hout I, Harper M, Helmig-Mason J, Tallada S, Chen Z, Scherle P, Vaddi K, Chen-Kiang S, Di Liberto M, Meydan C, Foox J, Butler D, Mason C, Alinari L, Blaser BW, Baiocchi R. Resistance to PRMT5-targeted therapy in mantle cell lymphoma. Blood Adv 2024; 8:150-163. [PMID: 37782774 PMCID: PMC10787272 DOI: 10.1182/bloodadvances.2023010554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/16/2023] [Accepted: 09/04/2023] [Indexed: 10/04/2023] Open
Abstract
ABSTRACT Mantle cell lymphoma (MCL) is an incurable B-cell non-Hodgkin lymphoma, and patients who relapse on targeted therapies have poor prognosis. Protein arginine methyltransferase 5 (PRMT5), an enzyme essential for B-cell transformation, drives multiple oncogenic pathways and is overexpressed in MCL. Despite the antitumor activity of PRMT5 inhibition (PRT-382/PRT-808), drug resistance was observed in a patient-derived xenograft (PDX) MCL model. Decreased survival of mice engrafted with these PRMT5 inhibitor-resistant cells vs treatment-naive cells was observed (P = .005). MCL cell lines showed variable sensitivity to PRMT5 inhibition. Using PRT-382, cell lines were classified as sensitive (n = 4; 50% inhibitory concentration [IC50], 20-140 nM) or primary resistant (n = 4; 340-1650 nM). Prolonged culture of sensitive MCL lines with drug escalation produced PRMT5 inhibitor-resistant cell lines (n = 4; 200-500 nM). This resistant phenotype persisted after prolonged culture in the absence of drug and was observed with PRT-808. In the resistant PDX and cell line models, symmetric dimethylarginine reduction was achieved at the original PRMT5 inhibitor IC50, suggesting activation of alternative resistance pathways. Bulk RNA sequencing of resistant cell lines and PDX relative to sensitive or short-term-treated cells, respectively, highlighted shared upregulation of multiple pathways including mechanistic target of rapamycin kinase [mTOR] signaling (P < 10-5 and z score > 0.3 or < 0.3). Single-cell RNA sequencing analysis demonstrated a strong shift in global gene expression, with upregulation of mTOR signaling in resistant PDX MCL samples. Targeted blockade of mTORC1 with temsirolimus overcame the PRMT5 inhibitor-resistant phenotype, displayed therapeutic synergy in resistant MCL cell lines, and improved survival of a resistant PDX.
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Affiliation(s)
- Mackenzie Elizabeth Long
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Shirsha Koirala
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Shelby Sloan
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Fiona Brown-Burke
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Christoph Weigel
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Lynda Villagomez
- Division of Hematology and Oncology, Department of Pediatrics, The Ohio State University and Nationwide Children’s Hospital, Columbus, OH
| | - Kara Corps
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Archisha Sharma
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Ian Hout
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Margaret Harper
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - JoBeth Helmig-Mason
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Sheetal Tallada
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Zhengming Chen
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | | | | | - Selina Chen-Kiang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Maurizio Di Liberto
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Cem Meydan
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Jonathan Foox
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Daniel Butler
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Christopher Mason
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Lapo Alinari
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Bradley W. Blaser
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Robert Baiocchi
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
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3
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Karolová J, Kazantsev D, Svatoň M, Tušková L, Forsterová K, Maláriková D, Benešová K, Heizer T, Dolníková A, Klánová M, Winkovska L, Svobodová K, Hojný J, Krkavcová E, Froňková E, Zemanová Z, Trněný M, Klener P. Sequencing-based analysis of clonal evolution of 25 mantle cell lymphoma patients at diagnosis and after failure of standard immunochemotherapy. Am J Hematol 2023; 98:1627-1636. [PMID: 37605345 DOI: 10.1002/ajh.27044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/03/2023] [Accepted: 07/16/2023] [Indexed: 08/23/2023]
Abstract
Our knowledge of genetic aberrations, that is, variants and copy number variations (CNVs), associated with mantle cell lymphoma (MCL) relapse remains limited. A cohort of 25 patients with MCL at diagnosis and the first relapse after the failure of standard immunochemotherapy was analyzed using whole-exome sequencing. The most frequent variants at diagnosis and at relapse comprised six genes: TP53, ATM, KMT2D, CCND1, SP140, and LRP1B. The most frequent CNVs at diagnosis and at relapse included TP53 and CDKN2A/B deletions, and PIK3CA amplifications. The mean count of mutations per patient significantly increased at relapse (n = 34) compared to diagnosis (n = 27). The most frequent newly detected variants at relapse, LRP1B gene mutations, correlated with a higher mutational burden. Variant allele frequencies of TP53 variants increased from 0.35 to 0.76 at relapse. The frequency and length of predicted CNVs significantly increased at relapse with CDKN2A/B deletions being the most frequent. Our data suggest, that the resistant MCL clones detected at relapse were already present at diagnosis and were selected by therapy. We observed enrichment of genetic aberrations of DNA damage response pathway (TP53 and CDKN2A/B), and a significant increase in MCL heterogeneity. We identified LRP1B inactivation as a new potential driver of MCL relapse.
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Affiliation(s)
- J Karolová
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine - Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - D Kazantsev
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - M Svatoň
- CLIP - Childhood Leukaemia Investigation Prague, Department of Pediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - L Tušková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - K Forsterová
- First Department of Medicine - Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - D Maláriková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine - Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - K Benešová
- First Department of Medicine - Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - T Heizer
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - A Dolníková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - M Klánová
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine - Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - L Winkovska
- CLIP - Childhood Leukaemia Investigation Prague, Department of Pediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - K Svobodová
- Center for Oncocytogenetics, Institute of Medical Biochemistry and Laboratory Diagnostics, Charles University and General University Hospital, Prague, Czech Republic
| | - J Hojný
- Institute of Pathology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - E Krkavcová
- Institute of Pathology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - E Froňková
- CLIP - Childhood Leukaemia Investigation Prague, Department of Pediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Z Zemanová
- Center for Oncocytogenetics, Institute of Medical Biochemistry and Laboratory Diagnostics, Charles University and General University Hospital, Prague, Czech Republic
| | - M Trněný
- First Department of Medicine - Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - P Klener
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine - Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
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Jain N, Mamgain M, Chowdhury SM, Jindal U, Sharma I, Sehgal L, Epperla N. Beyond Bruton's tyrosine kinase inhibitors in mantle cell lymphoma: bispecific antibodies, antibody-drug conjugates, CAR T-cells, and novel agents. J Hematol Oncol 2023; 16:99. [PMID: 37626420 PMCID: PMC10463717 DOI: 10.1186/s13045-023-01496-4] [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: 07/19/2023] [Accepted: 08/21/2023] [Indexed: 08/27/2023] Open
Abstract
Mantle cell lymphoma is a B cell non-Hodgkin lymphoma (NHL), representing 2-6% of all NHLs and characterized by overexpression of cyclin D1. The last decade has seen the development of many novel treatment approaches in MCL, most notably the class of Bruton's tyrosine kinase inhibitors (BTKi). BTKi has shown excellent outcomes for patients with relapsed or refractory MCL and is now being studied in the first-line setting. However, patients eventually progress on BTKi due to the development of resistance. Additionally, there is an alteration in the tumor microenvironment in these patients with varying biological and therapeutic implications. Hence, it is necessary to explore novel therapeutic strategies that can be effective in those who progressed on BTKi or potentially circumvent resistance. In this review, we provide a brief overview of BTKi, then discuss the various mechanisms of BTK resistance including the role of genetic alteration, cancer stem cells, tumor microenvironment, and adaptive reprogramming bypassing the effect of BTK inhibition, and then provide a comprehensive review of current and emerging therapeutic options beyond BTKi including novel agents, CAR T cells, bispecific antibodies, and antibody-drug conjugates.
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Affiliation(s)
- Neeraj Jain
- Division of Cancer Biology, CSIR-Central Drug Research Institute, Lucknow, Uttar Pradesh India
- Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh 201002 India
| | - Mukesh Mamgain
- Department of Medical Oncology and Hematology, All India Institute of Medical Sciences, Rishikesh, India
| | - Sayan Mullick Chowdhury
- Division of Hematology, Department of Medicine, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University, Columbus, OH USA
| | - Udita Jindal
- Division of Cancer Biology, CSIR-Central Drug Research Institute, Lucknow, Uttar Pradesh India
- Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh 201002 India
| | - Isha Sharma
- Division of Cancer Biology, CSIR-Central Drug Research Institute, Lucknow, Uttar Pradesh India
| | - Lalit Sehgal
- Division of Hematology, Department of Medicine, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University, Columbus, OH USA
| | - Narendranath Epperla
- The Ohio State University Comprehensive Cancer Center, Suite 7198, 2121 Kenny Rd, Columbus, OH 43221 USA
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5
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Hill HA, Jain P, Ok CY, Sasaki K, Chen H, Wang ML, Chen K. Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma. CANCER RESEARCH COMMUNICATIONS 2023; 3:1435-1446. [PMID: 37538987 PMCID: PMC10395375 DOI: 10.1158/2767-9764.crc-23-0083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/17/2023] [Accepted: 06/27/2023] [Indexed: 08/05/2023]
Abstract
Patients with mantle cell lymphoma (MCL), an incurable B-cell malignancy, benefit from accurate pretreatment disease stratification. We curated an extensive database of 862 patients diagnosed between 2014 and 2022. A machine learning (ML) gradient-boosted model incorporated baseline features from clinicopathologic, cytogenetic, and genomic data with high predictive power discriminating between patients with indolent or responsive MCL and those with aggressive disease (AUC ROC = 0.83). In addition, we utilized the gradient-boosted framework as a robust feature selection method for multivariate logistic and survival modeling. The best ML models incorporated features from clinical and genomic data types highlighting the need for correlative molecular studies in precision oncology. As proof of concept, we launched our most accurate and practical models using an application interface, which has potential for clinical implementation. We designated the 20-feature ML model-based index the "integrative MIPI" or iMIPI and a similar 10-feature ML index the "integrative simplified MIPI" or iMIPI-s. The top 10 baseline prognostic features represented in the iMIPI-s are: lactase dehydrogenase (LDH), Ki-67%, platelet count, bone marrow involvement percentage, hemoglobin levels, the total number of observed somatic mutations, TP53 mutational status, Eastern Cooperative Oncology Group performance level, beta-2 microglobulin, and morphology. Our findings emphasize that prognostic applications and indices should include molecular features, especially TP53 mutational status. This work demonstrates the clinical utility of complex ML models and provides further evidence for existing prognostic markers in MCL. Significance Our model is the first to integrate a dynamic algorithm with multiple clinical and molecular features, allowing for accurate predictions of MCL disease outcomes in a large patient cohort.
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Affiliation(s)
- Holly A. Hill
- Department of Bioinformatics and Computational Biology, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas
| | - Preetesh Jain
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chi Young Ok
- Department of Hematopathology, Division of Pathology-Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Koji Sasaki
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Han Chen
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Michael L. Wang
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
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6
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Pan-cancer antagonistic inhibition pattern of ATM-driven G2/M checkpoint pathway vs other DNA repair pathways. DNA Repair (Amst) 2023; 123:103448. [PMID: 36657260 DOI: 10.1016/j.dnarep.2023.103448] [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: 06/27/2022] [Revised: 12/22/2022] [Accepted: 01/08/2023] [Indexed: 01/15/2023]
Abstract
DNA repair mechanisms keep genome integrity and limit tumor-associated alterations and heterogeneity, but on the other hand they promote tumor survival after radiation and genotoxic chemotherapies. We screened pathway activation levels of 38 DNA repair pathways in nine human cancer types (gliomas, breast, colorectal, lung, thyroid, cervical, kidney, gastric, and pancreatic cancers). We took RNAseq profiles of the experimental 51 normal and 408 tumor samples, and from The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium databases - of 500/407 normal and 5752/646 tumor samples, and also 573 normal and 984 tumor proteomic profiles from Proteomic Data Commons portal. For all the samplings we observed a congruent trend that all cancer types showed inhibition of G2/M arrest checkpoint pathway compared to the normal samples, and relatively low activities of p53-mediated pathways. In contrast, other DNA repair pathways were upregulated in most of the cancer types. The G2/M checkpoint pathway was statistically significantly downregulated compared to the other DNA repair pathways, and this inhibition was strongly impacted by antagonistic regulation of (i) promitotic genes CCNB and CDK1, and (ii) GADD45 genes promoting G2/M arrest. At the DNA level, we found that ATM, TP53, and CDKN1A genes accumulated loss of function mutations, and cyclin B complex genes - transforming mutations. These findings suggest importance of activation for most of DNA repair pathways in cancer progression, with remarkable exceptions of G2/M checkpoint and p53-related pathways which are downregulated and neutrally activated, respectively.
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7
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Che Y, Liu Y, Yao Y, Hill HA, Li Y, Cai Q, Yan F, Jain P, Wang W, Rui L, Wang M. Exploiting PRMT5 as a target for combination therapy in mantle cell lymphoma characterized by frequent ATM and TP53 mutations. Blood Cancer J 2023; 13:27. [PMID: 36797243 PMCID: PMC9935633 DOI: 10.1038/s41408-023-00799-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 02/02/2023] [Accepted: 02/07/2023] [Indexed: 02/18/2023] Open
Abstract
Constant challenges for the treatment of mantle cell lymphoma (MCL) remain to be recurrent relapses and therapy resistance, especially in patients harboring somatic mutations in the tumor suppressors ATM and TP53, which are accumulated as therapy resistance emerges and the disease progresses, consistent with our OncoPrint results that ATM and TP53 alterations were most frequent in relapsed/refractory (R/R) MCL. We demonstrated that protein arginine methyltransferase-5 (PRMT5) was upregulated in R/R MCL, which predicted a poor prognosis. PRMT5 inhibitors displayed profound antitumor effects in the mouse models of MCL with mutated ATM and/or TP53, or refractory to CD19-targeted CAR T-cell therapy. Genetic knockout of PRMT5 robustly inhibited tumor growth in vivo. Co-targeting PRMT5, and ATR or CDK4 by using their inhibitors showed synergistic antitumor effects both in vitro and in vivo. Our results have provided a rational combination therapeutic strategy targeting multiple PRMT5-coordinated tumor-promoting processes for the treatment of R/R MCL with high mutation burdens.
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Affiliation(s)
- Yuxuan Che
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Yang Liu
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Yixin Yao
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
| | - Holly A Hill
- Department of Bioinformatics and Computer Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Yijing Li
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Qingsong Cai
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Fangfang Yan
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA
| | - Preetesh Jain
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Wei Wang
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Lixin Rui
- Department of Medicine, the University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53726, USA
| | - Michael Wang
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA. .,Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
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8
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Czarny J, Andrzejewska M, Zając-Spychała O, Latos-Grażyńska E, Pastorczak A, Wypyszczak K, Szczawińska-Popłonyk A, Niewiadomska-Wojnałowicz I, Wziątek A, Marciniak-Stępak P, Dopierała M, Małdyk J, Jończyk-Potoczna K, Derwich K. Successful Treatment of Large B-Cell Lymphoma in a Child with Compound Heterozygous Mutation in the ATM Gene. Int J Mol Sci 2023; 24:ijms24021099. [PMID: 36674612 PMCID: PMC9866559 DOI: 10.3390/ijms24021099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 12/30/2022] [Accepted: 01/05/2023] [Indexed: 01/09/2023] Open
Abstract
Ataxia-telangiectasia (AT) is a multisystemic neurodegenerative inborn error of immunity (IEI) characterized by DNA repair defect, chromosomal instability, and hypersensitivity to ionizing radiation. Impaired DNA double-strand break repair determines a high risk of developing hematological malignancies, especially lymphoproliferative diseases. Poor response to treatment, excessive chemotherapy toxicities, and the need for avoiding exposure to ionizing radiation make the successful clinical management of patients with AT challenging for oncologists. We describe the favorable outcome of the LBCL with IRF4 rearrangement at stage III in a 7-year-old female patient diagnosed with AT. The patient was treated according to the B-HR arm of the INTER-B-NHL-COP 2010 protocol, including the administration of rituximab, cyclophosphamide, methotrexate, prednisone, etc. She presented excessive treatment toxicities despite individually reduced doses of methotrexate and cyclophosphamide. However, in the MRI there was no significant reduction in pathologic lymph nodes after three immunochemotherapy courses. Therefore, a lymph node biopsy was taken. Its subsequent histopathological examination revealed tuberculosis-like changes, though tuberculosis suspicion was excluded. After two following immunochemotherapy courses, PET-CT confirmed complete remission. From March 2022 onwards, the patient has remained in remission under the care of the outpatient children's oncology clinic.
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Affiliation(s)
- Jakub Czarny
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznań, Poland
| | - Marta Andrzejewska
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznań, Poland
| | - Olga Zając-Spychała
- Department of Pediatric Oncology, Hematology and Transplantology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
| | - Elżbieta Latos-Grażyńska
- Department of Pediatric Bone Marrow Transplantation, Oncology and Hematology, Wrocław Medical University, 50-556 Wrocław, Poland
| | - Agata Pastorczak
- Department of Pediatrics, Oncology and Hematology, Medical University of Łódź, 91-738 Łódź, Poland
| | - Kamila Wypyszczak
- Department of Pediatrics, Oncology and Hematology, Medical University of Łódź, 91-738 Łódź, Poland
| | - Aleksandra Szczawińska-Popłonyk
- Department of Pediatric Pneumonology, Allergy and Clinical Immunology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
| | - Izabela Niewiadomska-Wojnałowicz
- Department of Pediatric Oncology, Hematology and Transplantology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
| | - Agnieszka Wziątek
- Department of Pediatric Oncology, Hematology and Transplantology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
| | - Patrycja Marciniak-Stępak
- Department of Pediatric Oncology, Hematology and Transplantology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
| | - Michał Dopierała
- Department of Pediatric Oncology, Hematology and Transplantology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
- Department of Pathology and Clinical Immunology, Poznań University of Medical Sciences, 60-355 Poznań, Poland
| | - Jadwiga Małdyk
- Department of Pathology, Medical University of Warsaw, 02-106 Warsaw, Poland
| | - Katarzyna Jończyk-Potoczna
- Department of Pediatric Radiology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
| | - Katarzyna Derwich
- Department of Pediatric Oncology, Hematology and Transplantology, Institute of Pediatrics, Poznań University of Medical Sciences, 60-355 Poznań, Poland
- Correspondence:
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9
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Park W, O'Connor CA, Bandlamudi C, Forman D, Chou JF, Umeda S, Reyngold M, Varghese AM, Keane F, Balogun F, Yu KH, Kelsen DP, Crane C, Capanu M, Iacobuzio-Donahue C, O'Reilly EM. Clinico-genomic Characterization of ATM and HRD in Pancreas Cancer: Application for Practice. Clin Cancer Res 2022; 28:4782-4792. [PMID: 36040493 PMCID: PMC9634347 DOI: 10.1158/1078-0432.ccr-22-1483] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 07/02/2022] [Accepted: 08/26/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE Characterizing germline and somatic ATM variants (gATMm, sATMm) zygosity and their contribution to homologous recombination deficiency (HRD) is important for therapeutic strategy in pancreatic ductal adenocarcinoma (PDAC). EXPERIMENTAL DESIGN Clinico-genomic data for patients with PDAC and other cancers with ATM variants were abstracted. Genomic instability scores (GIS) were derived from ATM-mutant cancers and overall survival (OS) was evaluated. RESULTS Forty-six patients had PDAC and pathogenic ATM variants including 24 (52%) stage III/IV: gATMm (N = 24), and sATMm (N = 22). Twenty-seven (59%) had biallelic, 15 (33%) monoallelic, and 4 indeterminate (8%) variants. Median OS for advanced-stage cohort at diagnosis (N = 24) was 19.7 months [95% confidence interval (CI): 12.3-not reached (NR)], 27.1 months (95% CI: 22.7-NR) for gATMm (n = 11), and 12.3 months for sATMm (n = 13; 95% CI: 11.9-NR; P = 0.025). GIS was computed for 33 patients with PDAC and compared with other ATM-mutant cancers enriched for HRD. The median was lower (median, 11; range, 2-29) relative to breast (18, 3-55) or ovarian (25, 3-56) ATM-mutant cancers (P < 0.001 and P = 0.003, respectively). Interestingly, biallelic pathogenic ATM variants were mutually exclusive with TP53. Other canonical driver gene (KRAS, CDKN2A, SMAD4) variants were less frequent in ATM-mutant PDAC. CONCLUSIONS ATM variants in PDAC represent a distinct biologic group and appear to have favorable OS. Nonetheless, pathogenic ATM variants do not confer an HRD signature in PDAC and ATM should be considered as a non-core HR gene in this disease.
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Affiliation(s)
- Wungki Park
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medicine, New York, New York
- Parker Institute of Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Catherine A O'Connor
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Chaitanya Bandlamudi
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniella Forman
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Joanne F Chou
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Shigeaki Umeda
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Sloan Kettering Institute, New York, New York
| | - Marsha Reyngold
- Weill Cornell Medicine, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anna M Varghese
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medicine, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Fergus Keane
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Fiyinfolu Balogun
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medicine, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kenneth H Yu
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medicine, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David P Kelsen
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medicine, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Christopher Crane
- Weill Cornell Medicine, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marinela Capanu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Christine Iacobuzio-Donahue
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology Pathogenesis Program, Sloan Kettering Institute, New York, New York
| | - Eileen M O'Reilly
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medicine, New York, New York
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York
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10
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Hanel W, Lata P, Youssef Y, Tran H, Tsyba L, Sehgal L, Blaser BW, Huszar D, Helmig-Mason J, Zhang L, Schrock MS, Summers MK, Chan WK, Prouty A, Mundy-Bosse BL, Chen-Kiang S, Danilov AV, Maddocks K, Baiocchi RA, Alinari L. A sumoylation program is essential for maintaining the mitotic fidelity in proliferating mantle cell lymphoma cells. Exp Hematol Oncol 2022; 11:40. [PMID: 35831896 PMCID: PMC9277803 DOI: 10.1186/s40164-022-00293-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 05/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mantle cell lymphoma (MCL) is a rare, highly heterogeneous type of B-cell non-Hodgkin's lymphoma. The sumoylation pathway is known to be upregulated in many cancers including lymphoid malignancies. However, little is known about its oncogenic role in MCL. METHODS Levels of sumoylation enzymes and sumoylated proteins were quantified in MCL cell lines and primary MCL patient samples by scRNA sequencing and immunoblotting. The sumoylation enzyme SAE2 was genetically and pharmacologically targeted with shRNA and TAK-981 (subasumstat). The effects of SAE2 inhibition on MCL proliferation and cell cycle were evaluated using confocal microscopy, live-cell microscopy, and flow cytometry. Immunoprecipitation and orbitrap mass spectrometry were used to identify proteins targeted by sumoylation in MCL cells. RESULTS MCL cells have significant upregulation of the sumoylation pathway at the level of the enzymes SAE1 and SAE2 which correlated with poor prognosis and induction of mitosis associated genes. Selective inhibition of SAE2 with TAK-981 results in significant MCL cell death in vitro and in vivo with mitotic dysregulation being an important mechanism of action. We uncovered a sumoylation program in mitotic MCL cells comprised of multiple pathways which could be directly targeted with TAK-981. Centromeric localization of topoisomerase 2A, a gene highly upregulated in SAE1 and SAE2 overexpressing MCL cells, was lost with TAK-981 treatment likely contributing to the mitotic dysregulation seen in MCL cells. CONCLUSIONS This study not only validates SAE2 as a therapeutic target in MCL but also opens the door to further mechanistic work to uncover how to best use desumoylation therapy to treat MCL and other lymphoid malignancies.
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Affiliation(s)
- Walter Hanel
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Pushpa Lata
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Youssef Youssef
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Ha Tran
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Liudmyla Tsyba
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Lalit Sehgal
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Bradley W Blaser
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | | | - JoBeth Helmig-Mason
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Liwen Zhang
- Proteomics and Mass Spectrometry Facility, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA
| | - Morgan S Schrock
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Matthew K Summers
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Wing Keung Chan
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Alexander Prouty
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Bethany L Mundy-Bosse
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Selina Chen-Kiang
- Weil Cornell Medical College, 1300 York Avenue, New York, NY, 10065, USA
| | - Alexey V Danilov
- City of Hope National Medical Center, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Kami Maddocks
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Robert A Baiocchi
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Lapo Alinari
- Division of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, 460 W 10th Ave, Columbus, OH, 43210, USA.
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11
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Ji L, Hua F, Wu Y, Qiao T, Gu J, Zhang X, Liu P, Li F, Cheng Y. Clinical practice of precision medicine in lymphoma. CLINICAL AND TRANSLATIONAL DISCOVERY 2022. [DOI: 10.1002/ctd2.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Lili Ji
- Department of Hematology Zhongshan Hospital Fudan University Shanghai China
| | - Fanli Hua
- Department of Hematology Zhongshan Hospital Qingpu Branch, Fudan University Shanghai China
| | - Yu Wu
- Department of Hematology, West China hospital Sichuan University Chengdu China
| | - Tiankui Qiao
- Center for Tumor Diagnosis and Therapy, Jinshan Hospital Fudan University Shanghai China
| | - Jianying Gu
- Department of Plastic Surgery Zhongshan Hospital Fudan University Shanghai China
| | - Xiaohui Zhang
- Institute of Hematology Peking University People's Hospital, Peking University Beijing China
| | - Peng Liu
- Department of Hematology Zhongshan Hospital Fudan University Shanghai China
| | - Feng Li
- Department of Hematology Zhongshan Hospital Fudan University Shanghai China
- Department of Hematology Zhongshan Hospital Qingpu Branch, Fudan University Shanghai China
| | - Yunfeng Cheng
- Department of Hematology Zhongshan Hospital Fudan University Shanghai China
- Department of Hematology Zhongshan Hospital Qingpu Branch, Fudan University Shanghai China
- Center for Tumor Diagnosis and Therapy, Jinshan Hospital Fudan University Shanghai China
- Institute of Clinical Science Zhongshan Hospital Fudan University Shanghai China
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12
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Mansouri L, Thorvaldsdottir B, Laidou S, Stamatopoulos K, Rosenquist R. Precision diagnostics in lymphomas - Recent developments and future directions. Semin Cancer Biol 2021; 84:170-183. [PMID: 34699973 DOI: 10.1016/j.semcancer.2021.10.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/20/2021] [Accepted: 10/22/2021] [Indexed: 01/03/2023]
Abstract
Genetics is an integral part of the clinical diagnostics of lymphomas that improves disease subclassification and patient risk-stratification. With the introduction of high-throughput sequencing technologies, a rapid, in-depth portrayal of the genomic landscape in major lymphoma entities was achieved. Whilst a few lymphoma entities were characterized by a predominant gene mutation (e.g. Waldenström's macroglobulinemia and hairy cell leukemia), the vast majority demonstrated a very diverse genetic landscape with a high number of recurrent gene mutations (e.g. chronic lymphocytic leukemia and diffuse large B cell lymphoma), indeed reflecting the great clinical heterogeneity among lymphomas. These studies have allowed better understanding of the ontogeny and evolution of different lymphomas, while also identifying new genetic markers that can complement lymphoma diagnostics and improve prognostication. However, despite these efforts, there is still a limited number of gene mutations with predictive impact that can guide treatment selection. In this review, we will highlight clinically relevant diagnostic, prognostic and predictive markers in lymphomas that are used today in routine diagnostics. We will also discuss how comprehensive genomic characterization using broad sequencing panels, allowing for the simultaneous detection of different types of genetic aberrations, may aid future development of precision diagnostics in lymphomas. This may in turn pave the way for the implementation of tailored precision therapy strategies at the individual patient level.
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Affiliation(s)
- Larry Mansouri
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Birna Thorvaldsdottir
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Stamatia Laidou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Kostas Stamatopoulos
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden.
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13
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Jiang P, Desai A, Ye H. Progress in molecular feature of smoldering mantle cell lymphoma. Exp Hematol Oncol 2021; 10:41. [PMID: 34256839 PMCID: PMC8278675 DOI: 10.1186/s40164-021-00232-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/02/2021] [Indexed: 12/30/2022] Open
Abstract
Mantle cell lymphoma (MCL) is considered one of the most aggressive lymphoid tumors. However, it sometimes displays indolent behavior in patients and might not necessitate treatment at diagnosis; this has been described as "smoldering MCL" (SMCL). There are significant differences in the diagnosis, prognosis, molecular mechanisms and treatments of indolent MCL and classical MCL. In this review, we discuss the progress in understanding the molecular mechanism of indolent MCL to provide insights into the genomic nature of this entity. Reported findings of molecular features of indolent MCL include a low Ki-67 index, CD200 positivity, a low frequency of mutations in TP53, a lack of SOX11, normal arrangement and expression of MYC, IGHV mutations, differences from classical MCL by L-MCL16 assays and MCL35 assays, an unmutated P16 status, few defects in ATM, no NOTCH1/2 mutation, Amp 11q gene mutation, no chr9 deletion, microRNA upregulation/downregulation, and low expression of several genes that have been valued in recent years (SPEN, SMARCA4, RANBP2, KMT2C, NSD2, CARD11, FBXW7, BIRC3, KMT2D, CELSR3, TRAF2, MAP3K14, HNRNPH1, Del 9p and/or Del 9q, SP140 and PCDH10). Based on the above molecular characteristics, we may distinguish indolent MCL from classical MCL. If so, indolent MCL will not be overtreated, whereas the treatment of classical MCL will not be delayed.
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Affiliation(s)
- Panruo Jiang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University - Zhejiang, Wenzhou, China
| | - Aakash Desai
- Division of Hematology, Department of Medicine, Mayo Clinic-MN, Rochester, US
| | - Haige Ye
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University - Zhejiang, Wenzhou, China.
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14
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Huang R, Zhou PK. DNA damage repair: historical perspectives, mechanistic pathways and clinical translation for targeted cancer therapy. Signal Transduct Target Ther 2021; 6:254. [PMID: 34238917 PMCID: PMC8266832 DOI: 10.1038/s41392-021-00648-7] [Citation(s) in RCA: 229] [Impact Index Per Article: 76.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 04/28/2021] [Accepted: 05/13/2021] [Indexed: 02/06/2023] Open
Abstract
Genomic instability is the hallmark of various cancers with the increasing accumulation of DNA damage. The application of radiotherapy and chemotherapy in cancer treatment is typically based on this property of cancers. However, the adverse effects including normal tissues injury are also accompanied by the radiotherapy and chemotherapy. Targeted cancer therapy has the potential to suppress cancer cells' DNA damage response through tailoring therapy to cancer patients lacking specific DNA damage response functions. Obviously, understanding the broader role of DNA damage repair in cancers has became a basic and attractive strategy for targeted cancer therapy, in particular, raising novel hypothesis or theory in this field on the basis of previous scientists' findings would be important for future promising druggable emerging targets. In this review, we first illustrate the timeline steps for the understanding the roles of DNA damage repair in the promotion of cancer and cancer therapy developed, then we summarize the mechanisms regarding DNA damage repair associated with targeted cancer therapy, highlighting the specific proteins behind targeting DNA damage repair that initiate functioning abnormally duo to extrinsic harm by environmental DNA damage factors, also, the DNA damage baseline drift leads to the harmful intrinsic targeted cancer therapy. In addition, clinical therapeutic drugs for DNA damage and repair including therapeutic effects, as well as the strategy and scheme of relative clinical trials were intensive discussed. Based on this background, we suggest two hypotheses, namely "environmental gear selection" to describe DNA damage repair pathway evolution, and "DNA damage baseline drift", which may play a magnified role in mediating repair during cancer treatment. This two new hypothesis would shed new light on targeted cancer therapy, provide a much better or more comprehensive holistic view and also promote the development of new research direction and new overcoming strategies for patients.
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Affiliation(s)
- Ruixue Huang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ping-Kun Zhou
- Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, AMMS, Beijing, China.
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15
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Lan Y, Liu W, Zhang W, Hu J, Zhu X, Wan L, A S, Ping Y, Xiao Y. Transcriptomic heterogeneity of driver gene mutations reveals novel mutual exclusivity and improves exploration of functional associations. Cancer Med 2021; 10:4977-4993. [PMID: 34076361 PMCID: PMC8290236 DOI: 10.1002/cam4.4039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 12/11/2022] Open
Abstract
Background Lung adenocarcinoma (LUAD), as the most common subtype of lung cancer, is the leading cause of cancer deaths in the world. The accumulation of driver gene mutations enables cancer cells to gradually acquire growth advantage. Therefore, it is important to understand the functions and interactions of driver gene mutations in cancer progression. Methods We obtained gene mutation data and gene expression profile of 506 LUAD tumors from The Cancer Genome Atlas (TCGA). The subtypes of tumors with driver gene mutations were identified by consensus cluster analysis. Results We found 21 significantly mutually exclusive pairs consisting of 20 genes among 506 LUAD patients. Because of the increased transcriptomic heterogeneity of mutations, we identified subtypes among tumors with non‐silent mutations in driver genes. There were 494 mutually exclusive pairs found among driver gene mutations within different subtypes. Furthermore, we identified functions of mutually exclusive pairs based on the hypothesis of functional redundancy of mutual exclusivity. These mutually exclusive pairs were significantly enriched in nuclear division and humoral immune response, which played crucial roles in cancer initiation and progression. We also found 79 mutually exclusive triples among subtypes of tumors with driver gene mutations, which were key roles in cell motility and cellular chemical homeostasis. In addition, two mutually exclusive triples and one mutually exclusive triple were associated with the overall survival and disease‐specific survival of LUAD patients, respectively. Conclusions We revealed novel mutual exclusivity and generated a comprehensive functional landscape of driver gene mutations, which could offer a new perspective to understand the mechanisms of cancer development and identify potential biomarkers for LUAD therapy.
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Affiliation(s)
- Yujia Lan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Wei Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Wanmei Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Jing Hu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xiaojing Zhu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Linyun Wan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Suru A
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yanyan Ping
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yun Xiao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
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Bröckelmann PJ, de Jong MRW, Jachimowicz RD. Targeting DNA Repair, Cell Cycle, and Tumor Microenvironment in B Cell Lymphoma. Cells 2020; 9:cells9102287. [PMID: 33066395 PMCID: PMC7602196 DOI: 10.3390/cells9102287] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/11/2020] [Accepted: 10/12/2020] [Indexed: 01/07/2023] Open
Abstract
The DNA double-strand break (DSB) is the most cytotoxic lesion and compromises genome stability. In an attempt to efficiently repair DSBs, cells activate ATM kinase, which orchestrates the DNA damage response (DDR) by activating cell cycle checkpoints and initiating DSB repair pathways. In physiological B cell development, however, programmed DSBs are generated as intermediates for effective immune responses and the maintenance of genomic integrity. Disturbances of these pathways are at the heart of B cell lymphomagenesis. Here, we review the role of DNA repair and cell cycle control on B cell development and lymphomagenesis. In addition, we highlight the intricate relationship between the DDR and the tumor microenvironment (TME). Lastly, we provide a clinical perspective by highlighting treatment possibilities of defective DDR signaling and the TME in mantle cell lymphoma, which serves as a blueprint for B cell lymphomas.
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Affiliation(s)
- Paul J. Bröckelmann
- Max Planck Research Group Mechanisms of DNA Repair, Max Planck Institute for Biology of Ageing, 50931 Cologne, Germany;
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), University of Cologne, 50937 Cologne, Germany
| | - Mathilde R. W. de Jong
- Department of Hematology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Ron D. Jachimowicz
- Max Planck Research Group Mechanisms of DNA Repair, Max Planck Institute for Biology of Ageing, 50931 Cologne, Germany;
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), University of Cologne, 50937 Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, 50931 Cologne, Germany
- Center for Molecular Medicine Cologne, University of Cologne, 50931 Cologne, Germany
- Correspondence: ; Tel.: +49-(0)221-37970-580
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17
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Rodrigues JM, Hassan M, Freiburghaus C, Eskelund CW, Geisler C, Räty R, Kolstad A, Sundström C, Glimelius I, Grønbaek K, Kwiecinska A, Porwit A, Jerkeman M, Ek S. p53 is associated with high-risk and pinpoints TP53 missense mutations in mantle cell lymphoma. Br J Haematol 2020; 191:796-805. [PMID: 32748433 PMCID: PMC7754513 DOI: 10.1111/bjh.17023] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 07/12/2020] [Indexed: 12/21/2022]
Abstract
Survival for patients diagnosed with mantle cell lymphoma (MCL) has improved drastically in recent years. However, patients carrying mutations in tumour protein p53 (TP53) do not benefit from modern chemotherapy-based treatments and have poor prognosis. Thus, there is a clinical need to identify missense mutations through routine analysis to enable patient stratification. Sequencing is not widely implemented in clinical practice for MCL, and immunohistochemistry (IHC) is a feasible alternative to identify high-risk patients. The aim of the present study was to investigate the accuracy of p53 as a tool to identify patients with TP53 missense mutations and the prognostic impact of overexpression and mutations in a Swedish population-based cohort. In total, 317 cases were investigated using IHC and 255 cases were sequenced, enabling analysis of p53 and TP53 status among 137 cases divided over the two-cohort investigated. The accuracy of predicting missense mutations from protein expression was 82%, with sensitivity at 82% and specificity at 100% in paired samples. We further show the impact of p53 expression and TP53 mutations on survival (hazard ratio of 3·1 in univariate analysis for both), and the association to risk factors, such as high MCL International Prognostic Index, blastoid morphology and proliferation, in a population-based setting.
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Affiliation(s)
| | - May Hassan
- Department of Immunotechnology, Lund University, Lund, Sweden
| | | | - Christian W Eskelund
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark.,Biotech Research and Innovation Centre BRIC, and The Danish Stem Cell Center (Danstem) Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Riikka Räty
- Department of Haematology, Helsinki University Hospital, Helsinki, Finland
| | - Arne Kolstad
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Christer Sundström
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Ingrid Glimelius
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Kirsten Grønbaek
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark.,Biotech Research and Innovation Centre BRIC, and The Danish Stem Cell Center (Danstem) Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anna Kwiecinska
- Department of Pathology-Oncology, Karolinska Institute, Stockholm, Sweden
| | - Anna Porwit
- Department of Pathology, Lund University, Lund, Sweden
| | - Mats Jerkeman
- Department of Oncology, Lund University, Lund, Sweden
| | - Sara Ek
- Department of Immunotechnology, Lund University, Lund, Sweden
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18
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Hill HA, Qi X, Jain P, Nomie K, Wang Y, Zhou S, Wang ML. Genetic mutations and features of mantle cell lymphoma: a systematic review and meta-analysis. Blood Adv 2020; 4:2927-2938. [PMID: 32598477 PMCID: PMC7362354 DOI: 10.1182/bloodadvances.2019001350] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 05/28/2020] [Indexed: 12/11/2022] Open
Abstract
Mantle cell lymphoma (MCL) is an incurable rare subtype of non-Hodgkin lymphoma and is subject to relapse and therapeutic resistance. Molecular aberrations in MCL affect pathogenesis, prognosis, and therapeutic response. In this systematic review, we searched 3 databases and selected 32 articles that described mutations in MCL patients. We then conducted a meta-analysis using a Bayesian multiregression model to analyze patient-level data in 2127 MCL patients, including prevalence of mutations. In tumor or bone marrow samples taken at diagnosis or baseline, ATM was the most frequently mutated gene (43.5%) followed by TP53 (26.8%), CDKN2A (23.9%), and CCND1 (20.2%). Aberrations were also detected in IGH (38.4%) and MYC (20.8%), primarily through cytogenetic methods. Other common baseline mutations were NSD2 (15.0%), KMT2A (8.9%), S1PR1 (8.6%), and CARD11 (8.5%). Our data also show a change in mutational status from baseline samples to samples at disease progression and present mutations of interest in MCL that should be considered for future analysis. The genes with the highest mutational frequency difference (>5%) are TP53, ATM, KMT2A, MAP3K14, BTK, TRAF2, CHD2, TLR2, ARID2, RIMS2, NOTCH2, TET2, SPEN, NSD2, CARD11, CCND1, SP140, CDKN2A, and S1PR1. These findings provide a summary of the mutational landscape of MCL. The genes with the highest change in mutation frequency should be included in targeted next-generation sequencing panels for future studies. These findings also highlight the need for analysis of serial samples in MCL. Patient-level data of prevalent mutations in MCL provide additional evidence emphasizing molecular variability in advancing precision medicine initiatives in MCL.
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Affiliation(s)
| | - Xinyue Qi
- Department of Biostatistics, MD Anderson Cancer Center, University of Texas, Houston, TX
| | | | | | - Yucai Wang
- Department of Hematology, Mayo Clinic, Rochester, MN; and
| | - Shouhao Zhou
- Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA
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