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Spinello A, Borišek J, Malcovati L, Magistrato A. Investigating the Molecular Mechanism of H3B-8800: A Splicing Modulator Inducing Preferential Lethality in Spliceosome-Mutant Cancers. Int J Mol Sci 2021; 22:ijms222011222. [PMID: 34681880 PMCID: PMC8540225 DOI: 10.3390/ijms222011222] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 11/16/2022] Open
Abstract
The SF3B1 protein, part of the SF3b complex, recognizes the intron branch point sequence of precursor messenger RNA (pre-mRNA), thus contributing to splicing fidelity. SF3B1 is frequently mutated in cancer and is the target of distinct families of splicing modulators (SMs). Among these, H3B-8800 is of particular interest, as it induces preferential lethality in cancer cells bearing the frequent and highly pathogenic K700E SF3B1 mutation. Despite the potential of H3B-8800 to treat myeloid leukemia and other cancer types hallmarked by SF3B1 mutations, the molecular mechanism underlying its preferential lethality towards spliceosome-mutant cancer cells remains elusive. Here, microsecond-long all-atom simulations addressed the binding/dissociation mechanism of H3B-8800 to wild type and K700E SF3B1-containing SF3b (K700ESB3b) complexes at the atomic level, unlocking that the K700E mutation little affects the thermodynamics and kinetic traits of H3B-8800 binding. This supports the hypothesis that the selectivity of H3B-8800 towards mutant cancer cells is unrelated to its preferential targeting of K700ESB3b. Nevertheless, this set of simulations discloses that the K700E mutation and H3B-8800 binding affect the overall SF3b internal motion, which in turn may influence the way SF3b interacts with other spliceosome components. Finally, we unveil the existence of a putative druggable SF3b pocket in the vicinity of K700E that could be harnessed in future rational drug-discovery efforts to specifically target mutant SF3b.
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Affiliation(s)
- Angelo Spinello
- National Research Council of Italy, Institute of Materials Foundry (CNR-IOM) c/o SISSA, Via Bonomea 265, 34136 Trieste, Italy;
| | - Jure Borišek
- National Institute of Chemistry, Theory Department, Hajdrihova 19, 1000 Ljubljana, Slovenia;
| | - Luca Malcovati
- Department of Hematology, IRCCS S. Matteo Hospital Foundation, 27100 Pavia, Italy;
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
| | - Alessandra Magistrato
- National Research Council of Italy, Institute of Materials Foundry (CNR-IOM) c/o SISSA, Via Bonomea 265, 34136 Trieste, Italy;
- Correspondence:
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152
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Prakadan SM, Alvarez-Breckenridge CA, Markson SC, Kim AE, Klein RH, Nayyar N, Navia AW, Kuter BM, Kolb KE, Bihun I, Mora JL, Bertalan MS, Shaw B, White M, Kaplan A, Stocking JH, Wadsworth MH, Lee EQ, Chukwueke U, Wang N, Subramanian M, Rotem D, Cahill DP, Adalsteinsson VA, Miller JW, Sullivan RJ, Carter SL, Brastianos PK, Shalek AK. Genomic and transcriptomic correlates of immunotherapy response within the tumor microenvironment of leptomeningeal metastases. Nat Commun 2021; 12:5955. [PMID: 34642316 PMCID: PMC8511044 DOI: 10.1038/s41467-021-25860-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 08/25/2021] [Indexed: 12/30/2022] Open
Abstract
Leptomeningeal disease (LMD) is a devastating complication of solid tumor malignancies, with dire prognosis and no effective systemic treatment options. Over the past decade, the incidence of LMD has steadily increased due to therapeutics that have extended the survival of cancer patients, highlighting the need for new interventions. To examine the efficacy of immune checkpoint inhibitors (ICI) in patients with LMD, we completed two phase II clinical trials. Here, we investigate the cellular and molecular features underpinning observed patient trajectories in these trials by applying single-cell RNA and cell-free DNA profiling to longitudinal cerebrospinal fluid (CSF) draws from enrolled patients. We recover immune and malignant cell types in the CSF, characterize cell behavior changes following ICI, and identify genomic features associated with relevant clinical phenomena. Overall, our study describes the liquid LMD tumor microenvironment prior to and following ICI treatment and demonstrates clinical utility of cell-free and single-cell genomic measurements for LMD research.
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Affiliation(s)
- Sanjay M Prakadan
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Ragon Institute, Harvard University, Massachusetts Institute of Technology, & Massachusetts General Hospital, Cambridge, MA, USA
| | - Christopher A Alvarez-Breckenridge
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurosurgery, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Samuel C Markson
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Albert E Kim
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Robert H Klein
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Naema Nayyar
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Andrew W Navia
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Ragon Institute, Harvard University, Massachusetts Institute of Technology, & Massachusetts General Hospital, Cambridge, MA, USA
| | - Benjamin M Kuter
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Kellie E Kolb
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Ragon Institute, Harvard University, Massachusetts Institute of Technology, & Massachusetts General Hospital, Cambridge, MA, USA
| | - Ivanna Bihun
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Joana L Mora
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Mia Solana Bertalan
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Brian Shaw
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Michael White
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Alexander Kaplan
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Jackson H Stocking
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Marc H Wadsworth
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Ragon Institute, Harvard University, Massachusetts Institute of Technology, & Massachusetts General Hospital, Cambridge, MA, USA
| | - Eudocia Q Lee
- Division of Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ugonma Chukwueke
- Division of Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nancy Wang
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Megha Subramanian
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Denisse Rotem
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
| | - Viktor A Adalsteinsson
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeffrey W Miller
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Ryan J Sullivan
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Scott L Carter
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA.
- Division of Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.
| | - Priscilla K Brastianos
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School & Massachusetts General Hospital, Boston, MA, USA.
- Massachusetts General Hospital Cancer Center, Boston, MA, USA.
| | - Alex K Shalek
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Broad Institute, Harvard University & Massachusetts Institute of Technology, Cambridge, MA, USA.
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Ragon Institute, Harvard University, Massachusetts Institute of Technology, & Massachusetts General Hospital, Cambridge, MA, USA.
- Division of Health Science & Technology, Harvard Medical School, Cambridge, MA, USA.
- Program in Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
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153
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Kinase Inhibition in Relapsed/Refractory Leukemia and Lymphoma Settings: Recent Prospects into Clinical Investigations. Pharmaceutics 2021; 13:pharmaceutics13101604. [PMID: 34683897 PMCID: PMC8540545 DOI: 10.3390/pharmaceutics13101604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 09/21/2021] [Accepted: 09/25/2021] [Indexed: 01/19/2023] Open
Abstract
Cancer is still a major barrier to life expectancy increase worldwide, and hematologic neoplasms represent a relevant percentage of cancer incidence rates. Tumor dependence of continuous proliferative signals mediated through protein kinases overexpression instigated increased strategies of kinase inhibition in the oncologic practice over the last couple decades, and in this review, we focused our discussion on relevant clinical trials of the past five years that investigated kinase inhibitor (KI) usage in patients afflicted with relapsed/refractory (R/R) hematologic malignancies as well as in the pharmacological characteristics of available KIs and the dissertation about traditional chemotherapy treatment approaches and its hindrances. A trend towards investigations on KI usage for the treatment of chronic lymphoid leukemia and acute myeloid leukemia in R/R settings was observed, and it likely reflects the existence of already established treatment protocols for chronic myeloid leukemia and acute lymphoid leukemia patient cohorts. Overall, regimens of KI treatment are clinically manageable, and results are especially effective when allied with tumor genetic profiles, giving rise to encouraging future prospects of an era where chemotherapy-free treatment regimens are a reality for many oncologic patients.
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154
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Gurjao C, Zhong R, Haruki K, Li YY, Spurr LF, Lee-Six H, Reardon B, Ugai T, Zhang X, Cherniack AD, Song M, Van Allen EM, Meyerhardt JA, Nowak JA, Giovannucci EL, Fuchs CS, Wu K, Ogino S, Giannakis M. Discovery and Features of an Alkylating Signature in Colorectal Cancer. Cancer Discov 2021; 11:2446-2455. [PMID: 34140290 PMCID: PMC8487940 DOI: 10.1158/2159-8290.cd-20-1656] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/03/2021] [Accepted: 05/27/2021] [Indexed: 11/16/2022]
Abstract
Several risk factors have been established for colorectal cancer, yet their direct mutagenic effects in patients' tumors remain to be elucidated. Here, we leveraged whole-exome sequencing data from 900 colorectal cancer cases that had occurred in three U.S.-wide prospective studies with extensive dietary and lifestyle information. We found an alkylating signature that was previously undescribed in colorectal cancer and then showed the existence of a similar mutational process in normal colonic crypts. This alkylating signature is associated with high intakes of processed and unprocessed red meat prior to diagnosis. In addition, this signature was more abundant in the distal colorectum, predicted to target cancer driver mutations KRAS p.G12D, KRAS p.G13D, and PIK3CA p.E545K, and associated with poor survival. Together, these results link for the first time a colorectal mutational signature to a component of diet and further implicate the role of red meat in colorectal cancer initiation and progression. SIGNIFICANCE: Colorectal cancer has several lifestyle risk factors, but the underlying mutations for most have not been observed directly in tumors. Analysis of 900 colorectal cancers with whole-exome sequencing and epidemiologic annotations revealed an alkylating mutational signature that was associated with red meat consumption and distal tumor location, as well as predicted to target KRAS p.G12D/p.G13D.This article is highlighted in the In This Issue feature, p. 2355.
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Affiliation(s)
- Carino Gurjao
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Rong Zhong
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Koichiro Haruki
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Liam F Spurr
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Pritzker School of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois
| | | | - Brendan Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Tomotaka Ugai
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Jonathan A Nowak
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Charles S Fuchs
- Yale Cancer Center, Yale School of Medicine, Smilow Cancer Hospital, New Haven, Connecticut
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Shuji Ogino
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
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155
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Detailed characterization of the transcriptome of single B cells in mantle cell lymphoma suggesting a potential use for SOX4. Sci Rep 2021; 11:19092. [PMID: 34580376 PMCID: PMC8476518 DOI: 10.1038/s41598-021-98560-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 09/07/2021] [Indexed: 01/04/2023] Open
Abstract
Mantle cell lymphoma (MCL) is a malignancy arising from naive B lymphocytes with common bone marrow (BM) involvement. Although t(11;14) is a primary event in MCL development, the highly diverse molecular etiology and causal genomic events are still being explored. We investigated the transcriptome of CD19+ BM cells from eight MCL patients at single-cell level. The transcriptomes revealed marked heterogeneity across patients, while general homogeneity and clonal continuity was observed within the patients with no clear evidence of subclonal involvement. All patients were SOX11+CCND1+CD20+. Despite monotypic surface immunoglobulin (Ig) κ or λ protein expression in MCL, 10.9% of the SOX11 + malignant cells expressed both light chain transcripts. The early lymphocyte transcription factor SOX4 was expressed in a fraction of SOX11 + cells in two patients and co-expressed with the precursor lymphoblastic marker, FAT1, in a blastoid case, suggesting a potential prognostic role. Additionally, SOX4 was found to identify non-malignant SOX11– pro-/pre-B cell populations. Altogether, the observed expression of markers such as SOX4, CD27, IgA and IgG in the SOX11+ MCL cells, may suggest that the malignant cells are not fixed in the differentiation state of naïve mature B cells, but instead the patients carry B lymphocytes of different differentiation stages.
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156
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Kwok M, Agathanggelou A, Davies N, Stankovic T. Targeting the p53 Pathway in CLL: State of the Art and Future Perspectives. Cancers (Basel) 2021; 13:4681. [PMID: 34572908 PMCID: PMC8468925 DOI: 10.3390/cancers13184681] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/16/2021] [Accepted: 09/16/2021] [Indexed: 12/20/2022] Open
Abstract
The p53 pathway is a desirable therapeutic target, owing to its critical role in the maintenance of genome integrity. This is exemplified in chronic lymphocytic leukemia (CLL), one of the most common adult hematologic malignancies, in which functional loss of p53 arising from genomic aberrations are frequently associated with clonal evolution, disease progression, and therapeutic resistance, even in the contemporary era of CLL targeted therapy and immunotherapy. Targeting the 'undruggable' p53 pathway therefore arguably represents the holy grail of cancer research. In recent years, several strategies have been proposed to exploit p53 pathway defects for cancer treatment. Such strategies include upregulating wild-type p53, restoring tumor suppressive function in mutant p53, inducing synthetic lethality by targeting collateral genome maintenance pathways, and harnessing the immunogenicity of p53 pathway aberrations. In this review, we will examine the biological and clinical implications of p53 pathway defects, as well as our progress towards development of therapeutic approaches targeting the p53 pathway, specifically within the context of CLL. We will appraise the opportunities and pitfalls associated with these therapeutic strategies, and evaluate their place amongst the array of new biological therapies for CLL.
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Affiliation(s)
- Marwan Kwok
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK; (A.A.); (N.D.)
- Centre for Clinical Haematology, Queen Elizabeth Hospital Birmingham, Birmingham B15 2SY, UK
| | - Angelo Agathanggelou
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK; (A.A.); (N.D.)
| | - Nicholas Davies
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK; (A.A.); (N.D.)
| | - Tatjana Stankovic
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK; (A.A.); (N.D.)
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157
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Recurrence biomarkers of triple negative breast cancer treated with neoadjuvant chemotherapy and anti-EGFR antibodies. NPJ Breast Cancer 2021; 7:124. [PMID: 34535679 PMCID: PMC8448841 DOI: 10.1038/s41523-021-00334-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 08/20/2021] [Indexed: 12/12/2022] Open
Abstract
To find metastatic recurrence biomarkers of triple-negative breast cancer (TNBC) treated by neoadjuvant chemotherapy and anti-EGFR antibodies (NAT), we evaluated tumor genomic, transcriptomic, and immune features, using MSK-IMPACT assay, gene arrays, Nanostring technology, and TIL assessment on H&E. Six patients experienced a rapid fatal recurrence (RR) and other 6 had later non-fatal recurrences (LR). Before NAT, RR had low expression of 6 MHC class I and 13 MHC class II genes but were enriched in upregulated genes involved in the cell cycle-related pathways. Their TIL number before NAT in RR was very low (<5%) and did not increase after treatment. In post-NAT residual tumors, RR cases showed high expression of SOX2 and CXCR4. Our results indicate that high expression of cell cycle genes, combined with cold immunological phenotype, may predict strong TNBC resistance to NAT and rapid progression after it. This biomarker combination is worth validation in larger studies.
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158
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Bloehdorn J, Braun A, Taylor-Weiner A, Jebaraj BMC, Robrecht S, Krzykalla J, Pan H, Giza A, Akylzhanova G, Holzmann K, Scheffold A, Johnston HE, Yeh RF, Klymenko T, Tausch E, Eichhorst B, Bullinger L, Fischer K, Weisser M, Robak T, Schneider C, Gribben J, Dahal LN, Carter MJ, Elemento O, Landau DA, Neuberg DS, Cragg MS, Benner A, Hallek M, Wu CJ, Döhner H, Stilgenbauer S, Mertens D. Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia. Nat Commun 2021; 12:5395. [PMID: 34518531 PMCID: PMC8438057 DOI: 10.1038/s41467-021-25403-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 08/03/2021] [Indexed: 02/07/2023] Open
Abstract
Knowledge of the genomic landscape of chronic lymphocytic leukemia (CLL) grows increasingly detailed, providing challenges in contextualizing the accumulated information. To define the underlying networks, we here perform a multi-platform molecular characterization. We identify major subgroups characterized by genomic instability (GI) or activation of epithelial-mesenchymal-transition (EMT)-like programs, which subdivide into non-inflammatory and inflammatory subtypes. GI CLL exhibit disruption of genome integrity, DNA-damage response and are associated with mutagenesis mediated through activation-induced cytidine deaminase or defective mismatch repair. TP53 wild-type and mutated/deleted cases constitute a transcriptionally uniform entity in GI CLL and show similarly poor progression-free survival at relapse. EMT-like CLL exhibit high genomic stability, reduced benefit from the addition of rituximab and EMT-like differentiation is inhibited by induction of DNA damage. This work extends the perspective on CLL biology and risk categories in TP53 wild-type CLL. Furthermore, molecular targets identified within each subgroup provide opportunities for new treatment approaches.
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Affiliation(s)
| | - Andrejs Braun
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | | | | | - Sandra Robrecht
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Julia Krzykalla
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Heng Pan
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Adam Giza
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Gulnara Akylzhanova
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | | | - Annika Scheffold
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Harvey E Johnston
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
| | - Ru-Fang Yeh
- Biostatistics, Genentech Inc., South San Francisco, CA, USA
| | - Tetyana Klymenko
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Eugen Tausch
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Barbara Eichhorst
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Lars Bullinger
- Medical Clinic for Hematology, Oncology and Tumor Biology, Charité University Hospital, Berlin, Germany
| | - Kirsten Fischer
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Martin Weisser
- Roche Pharma Research and Early Development, Penzberg, Germany
| | - Tadeusz Robak
- Department of Hematology, Medical University of Lodz, Lodz, Poland
| | | | - John Gribben
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Lekh N Dahal
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
- Department of Pharmacology and Therapeutics, Faculty of Life and Health Sciences, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Mathew J Carter
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Dan A Landau
- Cancer Genomics and Evolutionary Dynamics, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Donna S Neuberg
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mark S Cragg
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
| | - Axel Benner
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Michael Hallek
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Catherine J Wu
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Hartmut Döhner
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | | | - Daniel Mertens
- Department of Internal Medicine III, University of Ulm, Ulm, Germany.
- German Cancer Research Center (DKFZ), Heidelberg, Germany.
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159
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Deatherage DE, Barrick JE. High-throughput characterization of mutations in genes that drive clonal evolution using multiplex adaptome capture sequencing. Cell Syst 2021; 12:1187-1200.e4. [PMID: 34536379 DOI: 10.1016/j.cels.2021.08.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 07/14/2021] [Accepted: 08/20/2021] [Indexed: 11/17/2022]
Abstract
Understanding how cells are likely to evolve can guide medical interventions and bioengineering efforts that must contend with unwanted mutations. The adaptome of a cell-the neighborhood of genetic changes that are most likely to drive adaptation in a given environment-can be mapped by tracking rare beneficial variants during the early stages of clonal evolution. We used multiplex adaptome capture sequencing (mAdCap-seq), a procedure that combines unique molecular identifiers and hybridization-based enrichment, to characterize mutations in eight Escherichia coli genes known to be under selection in a laboratory environment. We tracked 301 mutations at frequencies as low as 0.01% and inferred the fitness effects of 240 of these mutations. There were distinct molecular signatures of selection on protein structure and function for the three genes with the most beneficial mutations. Our results demonstrate how mAdCap-seq can be used to deeply profile a targeted portion of a cell's adaptome.
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Affiliation(s)
- Daniel E Deatherage
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Jeffrey E Barrick
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA.
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160
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González-Rincón J, Garcia-Vela JA, Gómez S, Fernández-Cuevas B, Nova-Gurumeta S, Pérez-Sanz N, Alcoceba M, González M, Anguita E, López-Jiménez J, González-Barca E, Yáñez L, Pérez-Persona E, de la Serna J, Fernández-Zarzoso M, Deben G, Peñalver FJ, Fernández MC, de Oteyza JP, Andreu MÁ, Ruíz-Guinaldo MÁ, Paz-Arias R, García-Malo MD, Recasens V, Collado R, Córdoba R, Navarro-Matilla B, Sánchez-Beato M, García-Marco JA. Genomic mutation profile in progressive chronic lymphocytic leukemia patients prior to first-line chemoimmunotherapy with FCR and rituximab maintenance (REM). PLoS One 2021; 16:e0257353. [PMID: 34506616 PMCID: PMC8432772 DOI: 10.1371/journal.pone.0257353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 08/24/2021] [Indexed: 11/18/2022] Open
Abstract
Chronic Lymphocytic Leukemia (CLL) is the most prevalent leukemia in Western countries and is notable for its variable clinical course. This variability is partly reflected by the mutational status of IGHV genes. Many CLL samples have been studied in recent years by next-generation sequencing. These studies have identified recurrent somatic mutations in NOTCH1, SF3B1, ATM, TP53, BIRC3 and others genes that play roles in cell cycle, DNA repair, RNA metabolism and splicing. In this study, we have taken a deep-targeted massive sequencing approach to analyze the impact of mutations in the most frequently mutated genes in patients with CLL enrolled in the REM (rituximab en mantenimiento) clinical trial. The mutational status of our patients with CLL, except for the TP53 gene, does not seem to affect the good results obtained with maintenance therapy with rituximab after front-line FCR treatment.
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Affiliation(s)
- Julia González-Rincón
- Lymphoma Research Group, Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDPHISA), Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | | | - Sagrario Gómez
- Lymphoma Research Group, Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDPHISA), Madrid, Spain
| | - Belén Fernández-Cuevas
- Hematology Department, Hospital Universitario Puerta de Hierro-Majadahonda and Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), Madrid, Spain
| | - Sara Nova-Gurumeta
- Hematology Department, Hospital Universitario Puerta de Hierro-Majadahonda and Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), Madrid, Spain
| | - Nuria Pérez-Sanz
- Hematology Department, Hospital Universitario Puerta de Hierro-Majadahonda and Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), Madrid, Spain
| | - Miguel Alcoceba
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hematology, Hospital Universitario de Salamanca, Salamanca, Spain
| | - Marcos González
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hematology, Hospital Universitario de Salamanca, Salamanca, Spain
| | - Eduardo Anguita
- Hematology, Hospital Clínico San Carlos, IdISSC, UCM, Madrid, Spain
| | | | - Eva González-Barca
- Hematology, Institut Català d’Oncologia, IDIBELL, L’Hospitalet de LLobregat, Spain
| | - Lucrecia Yáñez
- Hematology, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | | | | | | | | | | | | | | | | | | | | | | | | | - Rosa Collado
- Citogenetics and molecular biology laboratory, Consorcio Hospital General Universitario, Valencia, Spain
| | - Raúl Córdoba
- Hematology, Hospital Fundación Jiménez Díaz, Madrid, Spain
| | - Belén Navarro-Matilla
- Hematology Department, Hospital Universitario Puerta de Hierro-Majadahonda and Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), Madrid, Spain
| | - Margarita Sánchez-Beato
- Lymphoma Research Group, Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDPHISA), Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- * E-mail: (MSB); (JAGM)
| | - José A. García-Marco
- Hematology Department, Hospital Universitario Puerta de Hierro-Majadahonda and Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), Madrid, Spain
- * E-mail: (MSB); (JAGM)
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161
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Schott K, Majer C, Bulashevska A, Childs L, Schmidt MHH, Rajalingam K, Munder M, König R. SAMHD1 in cancer: curse or cure? J Mol Med (Berl) 2021; 100:351-372. [PMID: 34480199 PMCID: PMC8843919 DOI: 10.1007/s00109-021-02131-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 07/15/2021] [Accepted: 08/12/2021] [Indexed: 12/12/2022]
Abstract
Human sterile α motif and HD domain-containing protein 1 (SAMHD1), originally described as the major cellular deoxyribonucleoside triphosphate triphosphohydrolase (dNTPase) balancing the intracellular deoxynucleotide (dNTP) pool, has come recently into focus of cancer research. As outlined in this review, SAMHD1 has been reported to be mutated in a variety of cancer types and the expression of SAMHD1 is dysregulated in many cancers. Therefore, SAMHD1 is regarded as a tumor suppressor in certain tumors. Moreover, it has been proposed that SAMHD1 might fulfill the requirements of a driver gene in tumor development or might promote a so-called mutator phenotype. Besides its role as a dNTPase, several novel cellular functions of SAMHD1 have come to light only recently, including a role as negative regulator of innate immune responses and as facilitator of DNA end resection during DNA replication and repair. Therefore, SAMHD1 can be placed at the crossroads of various cellular processes. The present review summarizes the negative role of SAMHD1 in chemotherapy sensitivity, highlights reported SAMHD1 mutations found in various cancer types, and aims to discuss functional consequences as well as underlying mechanisms of SAMHD1 dysregulation potentially involved in cancer development.
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Affiliation(s)
- Kerstin Schott
- Host-Pathogen Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Catharina Majer
- Host-Pathogen Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Alla Bulashevska
- Host-Pathogen Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Liam Childs
- Host-Pathogen Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Mirko H H Schmidt
- Institute of Anatomy, Medical Faculty Carl Gustav Carus, Technische Universität Dresden School of Medicine, Dresden, Germany
| | - Krishnaraj Rajalingam
- Cell Biology Unit, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- University Cancer Center Mainz, University Medical Center Mainz, Mainz, Germany
| | - Markus Munder
- Third Department of Medicine, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Renate König
- Host-Pathogen Interactions, Paul-Ehrlich-Institut, Langen, Germany.
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162
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Loss of synergistic transcriptional feedback loops drives diverse B-cell cancers. EBioMedicine 2021; 71:103559. [PMID: 34461601 PMCID: PMC8403728 DOI: 10.1016/j.ebiom.2021.103559] [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: 05/25/2021] [Revised: 08/10/2021] [Accepted: 08/13/2021] [Indexed: 12/30/2022] Open
Abstract
Background The most common B-cell cancers, chronic lymphocytic leukemia/lymphoma (CLL), follicular and diffuse large B-cell (FL, DLBCL) lymphomas, have distinct clinical courses, yet overlapping “cell-of-origin”. Dynamic changes to the epigenome are essential regulators of B-cell differentiation. Therefore, we reasoned that these distinct cancers may be driven by shared mechanisms of disruption in transcriptional circuitry. Methods We compared purified malignant B-cells from 52 patients with normal B-cell subsets (germinal center centrocytes and centroblasts, naïve and memory B-cells) from 36 donor tonsils using >325 high-resolution molecular profiling assays for histone modifications, open chromatin (ChIP-, FAIRE-seq), transcriptome (RNA-seq), transcription factor (TF) binding, and genome copy number (microarrays). Findings From the resulting data, we identified gains in active chromatin in enhancers/super-enhancers that likely promote unchecked B-cell receptor signaling, including one we validated near the immunoglobulin superfamily receptors FCMR and PIGR. More striking and pervasive was the profound loss of key B-cell identity TFs, tumor suppressors and their super-enhancers, including EBF1, OCT2(POU2F2), and RUNX3. Using a novel approach to identify transcriptional feedback, we showed that these core transcriptional circuitries are self-regulating. Their selective gain and loss form a complex, iterative, and interactive process that likely curbs B-cell maturation and spurs proliferation. Interpretation Our study is the first to map the transcriptional circuitry of the most common blood cancers. We demonstrate that a critical subset of B-cell TFs and their cognate enhancers form self-regulatory transcriptional feedback loops whose disruption is a shared mechanism underlying these diverse subtypes of B-cell lymphoma. Funding National Institute of Health, Siteman Cancer Center, Barnes-Jewish Hospital Foundation, Doris Duke Foundation.
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163
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Mancikova V, Peschelova H, Kozlova V, Ledererova A, Ladungova A, Verner J, Loja T, Folber F, Mayer J, Pospisilova S, Smida M. Performance of anti-CD19 chimeric antigen receptor T cells in genetically defined classes of chronic lymphocytic leukemia. J Immunother Cancer 2021; 8:jitc-2019-000471. [PMID: 32217767 PMCID: PMC7206910 DOI: 10.1136/jitc-2019-000471] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2020] [Indexed: 01/25/2023] Open
Abstract
Background While achieving prolonged remissions in other B cell-derived malignancies, chimeric antigen receptor (CAR) T cells still underperform when injected into patients with chronic lymphocytic leukemia (CLL). We studied the influence of genetics on CLL response to anti-CD19 CAR T-cell therapy. Methods First, we studied 32 primary CLL samples composed of 26 immunoglobulin heavy-chain gene variable (IGHV)-unmutated (9 ATM-mutated, 8 TP53-mutated, and 9 without mutations in ATM, TP53, NOTCH1 or SF3B1) and 6 IGHV-mutated samples without mutations in the above-mentioned genes. Then, we mimicked the leukemic microenvironment in the primary cells by ‘2S stimulation’ through interleukin-2 and nuclear factor kappa B. Finally, CRISPR/Cas9-generated ATM-knockout and TP53-knockout clones (four and seven, respectively) from CLL-derived cell lines MEC1 and HG3 were used. All these samples were exposed to CAR T cells. In vivo survival study in NSG mice using HG3 wild-type (WT), ATM-knockout or TP53-knockout cells was also performed. Results Primary unstimulated CLL cells were specifically eliminated after >24 hours of coculture with CAR T cells. ‘2S’ stimulated cells showed increased survival when exposed to CAR T cells compared with unstimulated ones, confirming the positive effect of this stimulation on CLL cells’ in vitro fitness. After 96 hours of coculture, there was no difference in survival among the genetic classes. Finally, CAR T cells were specifically activated in vitro in the presence of target knockout cell lines as shown by the production of interferon-γ when compared with control (CTRL) T cells (p=0.0020), but there was no difference in knockout cells’ survival. In vivo, CAR T cells prolonged the survival of mice injected with WT, TP53-knockout and ATM-knockout HG3 tumor cells as compared with CTRL T cells (p=0.0485, 0.0204 and <0.0001, respectively). When compared with ATM-knockout, TP53-knockout disease was associated with an earlier time of onset (p<0.0001), higher tumor burden (p=0.0002) and inefficient T-cell engraftment (p=0.0012). Conclusions While in vitro no differences in survival of CLL cells of various genetic backgrounds were observed, CAR T cells showed a different effectiveness at eradicating tumor cells in vivo depending on the driver mutation. Early disease onset, high-tumor burden and inefficient T-cell engraftment, associated with TP53-knockout tumors in our experimental setting, ultimately led to inferior performance of CAR T cells.
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Affiliation(s)
- Veronika Mancikova
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic .,Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Helena Peschelova
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Veronika Kozlova
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Aneta Ledererova
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Adriana Ladungova
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Jan Verner
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Tomas Loja
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Frantisek Folber
- Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jiri Mayer
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Sarka Pospisilova
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Michal Smida
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic .,Department of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
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164
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Frequent genetic alterations in immune checkpoint-related genes in intravascular large B-cell lymphoma. Blood 2021; 137:1491-1502. [PMID: 33512416 DOI: 10.1182/blood.2020007245] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 12/09/2020] [Indexed: 12/24/2022] Open
Abstract
Intravascular large B-cell lymphoma (IVLBCL) is a unique type of extranodal lymphoma characterized by selective growth of tumor cells in small vessels without lymphadenopathy. Greater understanding of the molecular pathogenesis of IVLBCL is hampered by the paucity of lymphoma cells in biopsy specimens, creating a limitation in obtaining sufficient tumor materials. To uncover the genetic landscape of IVLBCL, we performed whole-exome sequencing (WES) of 21 patients with IVLBCL using plasma-derived cell-free DNA (cfDNA) (n = 18), patient-derived xenograft tumors (n = 4), and tumor DNA from bone marrow (BM) mononuclear cells (n = 2). The concentration of cfDNA in IVLBCL was significantly higher than that in diffuse large B-cell lymphoma (DLBCL) (P < .0001) and healthy donors (P = .0053), allowing us to perform WES; most mutations detected in BM tumor DNA were successfully captured in cfDNA and xenograft. IVLBCL showed a high frequency of genetic lesions characteristic of activated B-cell-type DLBCL, with the former showing conspicuously higher frequencies (compared with nodal DLBCL) of mutations in MYD88 (57%), CD79B (67%), SETD1B (57%), and HLA-B (57%). We also found that 8 IVLBCL (38%) harbored rearrangements of programmed cell death 1 ligand 1 and 2 (PD-L1/PD-L2) involving the 3' untranslated region; such rearrangements are implicated in immune evasion via PD-L1/PD-L2 overexpression. Our data demonstrate the utility of cfDNA and imply important roles for immune evasion in IVLBCL pathogenesis and PD-1/PD-L1/PD-L2 blockade in therapeutics for IVLBCL.
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165
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Dujardin P, Baginska AK, Urban S, Grüner BM. Unraveling Tumor Heterogeneity by Using DNA Barcoding Technologies to Develop Personalized Treatment Strategies in Advanced-Stage PDAC. Cancers (Basel) 2021; 13:4187. [PMID: 34439341 PMCID: PMC8394487 DOI: 10.3390/cancers13164187] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/12/2021] [Accepted: 08/14/2021] [Indexed: 12/14/2022] Open
Abstract
Tumor heterogeneity is a hallmark of many solid tumors, including pancreatic ductal adenocarcinoma (PDAC), and an inherent consequence of the clonal evolution of cancers. As such, it is considered the underlying concept of many characteristics of the disease, including the ability to metastasize, adapt to different microenvironments, and to develop therapy resistance. Undoubtedly, the high mortality of PDAC can be attributed to a high extent to these properties. Despite its apparent importance, studying tumor heterogeneity has been a challenging task, mainly due to its complexity and lack of appropriate methods. However, in recent years molecular DNA barcoding has emerged as a sophisticated tool that allows mapping of individual cells or subpopulations in a cell pool to study heterogeneity and thus devise new personalized treatment strategies. In this review, we provide an overview of genetic and non-genetic inter- and intra-tumor heterogeneity and its impact on (personalized) treatment strategies in PDAC and address how DNA barcoding technologies work and can be applied to study this clinically highly relevant question.
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Affiliation(s)
- Philip Dujardin
- West German Cancer Center, Department of Medical Oncology, University Hospital Essen at the University Duisburg-Essen, 45147 Essen, Germany; (A.K.B.); (S.U.)
| | - Anna K. Baginska
- West German Cancer Center, Department of Medical Oncology, University Hospital Essen at the University Duisburg-Essen, 45147 Essen, Germany; (A.K.B.); (S.U.)
| | - Sebastian Urban
- West German Cancer Center, Department of Medical Oncology, University Hospital Essen at the University Duisburg-Essen, 45147 Essen, Germany; (A.K.B.); (S.U.)
| | - Barbara M. Grüner
- West German Cancer Center, Department of Medical Oncology, University Hospital Essen at the University Duisburg-Essen, 45147 Essen, Germany; (A.K.B.); (S.U.)
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, 45147 Essen, Germany
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166
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Genetics of Chronic Lymphocytic Leukemia. ACTA ACUST UNITED AC 2021; 27:259-265. [PMID: 34398552 DOI: 10.1097/ppo.0000000000000538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
ABSTRACT During the past 10 years, relevant advances have been made in the understanding of the pathogenesis of chronic lymphocytic leukemia via the integrated analysis of its genome and related epigenome, and transcriptome. These analyses also had an impact on our understanding of the initiation, as well as of the evolution of chronic lymphocytic leukemia, including resistance to chemotherapy and sensitivity and resistance to novel targeted therapies. This chapter will review the current state of the art in this field, with emphasis on the genetic heterogeneity of the disease and the biological pathways that are altered by the genetic lesions.
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167
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Mian SA, Bonnet D. Nature or Nurture? Role of the Bone Marrow Microenvironment in the Genesis and Maintenance of Myelodysplastic Syndromes. Cancers (Basel) 2021; 13:4116. [PMID: 34439269 PMCID: PMC8394536 DOI: 10.3390/cancers13164116] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 12/18/2022] Open
Abstract
Myelodysplastic syndrome (MDS) are clonal haematopoietic stem cell (HSC) disorders driven by a complex combination(s) of changes within the genome that result in heterogeneity in both clinical phenotype and disease outcomes. MDS is among the most common of the haematological cancers and its incidence markedly increases with age. Currently available treatments have limited success, with <5% of patients undergoing allogeneic HSC transplantation, a procedure that offers the only possible cure. Critical contributions of the bone marrow microenvironment to the MDS have recently been investigated. Although the better understanding of the underlying biology, particularly genetics of haematopoietic stem cells, has led to better disease and risk classification; however, the role that the bone marrow microenvironment plays in the development of MDS remains largely unclear. This review provides a comprehensive overview of the latest developments in understanding the aetiology of MDS, particularly focussing on understanding how HSCs and the surrounding immune/non-immune bone marrow niche interacts together.
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Affiliation(s)
| | - Dominique Bonnet
- Haematopoietic Stem Cell Laboratory, The Francis Crick Institute, London NW1 1AT, UK;
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168
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Francini E, Ou FS, Rhoades J, Wolfe EG, O’Connor EP, Ha G, Gydush G, Kelleher KM, Bhatt RS, Balk SP, Sweeney CJ, Adalsteinsson VA, Taplin ME, Choudhury AD. Circulating Cell-Free DNA as Biomarker of Taxane Resistance in Metastatic Castration-Resistant Prostate Cancer. Cancers (Basel) 2021; 13:4055. [PMID: 34439209 PMCID: PMC8391478 DOI: 10.3390/cancers13164055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 08/10/2021] [Indexed: 11/17/2022] Open
Abstract
There are no biomarkers predictive of resistance to docetaxel or cabazitaxel validated for patients with metastatic castration-resistant prostate cancer (mCRPC). We assessed the association between ABCB1 amplification and primary resistance to docetaxel or cabazitaxel for patients with mCRPC, using circulating cell-free DNA (cfDNA). Patients with ≥1 plasma sample drawn within 12 months before starting docetaxel (cohort A) or cabazitaxel (cohort B) for mCRPC were identified from the Dana-Farber Cancer Institute IRB approved database. Sparse whole genome sequencing was performed on the selected cfDNA samples and tumor fractions were estimated using the computational tool ichorCNA. We evaluated the association between ABCB1 amplification or other copy number alterations and primary resistance to docetaxel or cabazitaxel. Of the selected 176 patients, 45 samples in cohort A and 21 samples in cohort B had sufficient tumor content. No significant association was found between ABCB1 amplification and primary resistance to docetaxel (p = 0.58; odds ratio (OR) = 1.49) or cabazitaxel (p = 0.97; OR = 1.06). No significant association was found between exploratory biomarkers and primary resistance to docetaxel or cabazitaxel. In this study, ABCB1 amplification did not predict primary resistance to docetaxel or cabazitaxel for mCRPC. Future studies including ABCB1 amplification in a suite of putative biomarkers and a larger cohort may aid in drawing definitive conclusions.
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Affiliation(s)
- Edoardo Francini
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; (E.P.O.); (G.H.); (K.M.K.); (C.J.S.); (M.-E.T.); (A.D.C.)
| | - Fang-Shu Ou
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (F.-S.O.); (E.G.W.)
| | - Justin Rhoades
- Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (J.R.); (G.G.); (V.A.A.)
| | - Eric G. Wolfe
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (F.-S.O.); (E.G.W.)
| | - Edward P. O’Connor
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; (E.P.O.); (G.H.); (K.M.K.); (C.J.S.); (M.-E.T.); (A.D.C.)
| | - Gavin Ha
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; (E.P.O.); (G.H.); (K.M.K.); (C.J.S.); (M.-E.T.); (A.D.C.)
- Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (J.R.); (G.G.); (V.A.A.)
| | - Gregory Gydush
- Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (J.R.); (G.G.); (V.A.A.)
| | - Kaitlin M. Kelleher
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; (E.P.O.); (G.H.); (K.M.K.); (C.J.S.); (M.-E.T.); (A.D.C.)
| | - Rupal S. Bhatt
- Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; (R.S.B.); (S.P.B.)
| | - Steven P. Balk
- Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; (R.S.B.); (S.P.B.)
| | - Christopher J. Sweeney
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; (E.P.O.); (G.H.); (K.M.K.); (C.J.S.); (M.-E.T.); (A.D.C.)
| | - Viktor A. Adalsteinsson
- Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (J.R.); (G.G.); (V.A.A.)
| | - Mary-Ellen Taplin
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; (E.P.O.); (G.H.); (K.M.K.); (C.J.S.); (M.-E.T.); (A.D.C.)
| | - Atish D. Choudhury
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; (E.P.O.); (G.H.); (K.M.K.); (C.J.S.); (M.-E.T.); (A.D.C.)
- Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (J.R.); (G.G.); (V.A.A.)
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169
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Turati VA, Guerra-Assunção JA, Potter NE, Gupta R, Ecker S, Daneviciute A, Tarabichi M, Webster AP, Ding C, May G, James C, Brown J, Conde L, Russell LJ, Ancliff P, Inglott S, Cazzaniga G, Biondi A, Hall GW, Lynch M, Hubank M, Macaulay I, Beck S, Van Loo P, Jacobsen SE, Greaves M, Herrero J, Enver T. Chemotherapy induces canalization of cell state in childhood B-cell precursor acute lymphoblastic leukemia. NATURE CANCER 2021; 2:835-852. [PMID: 34734190 PMCID: PMC7611923 DOI: 10.1038/s43018-021-00219-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 05/11/2021] [Indexed: 05/01/2023]
Abstract
Comparison of intratumor genetic heterogeneity in cancer at diagnosis and relapse suggests that chemotherapy induces bottleneck selection of subclonal genotypes. However, evolutionary events subsequent to chemotherapy could also explain changes in clonal dominance seen at relapse. We, therefore, investigated the mechanisms of selection in childhood B-cell precursor acute lymphoblastic leukemia (BCP-ALL) during induction chemotherapy where maximal cytoreduction occurs. To distinguish stochastic versus deterministic events, individual leukemias were transplanted into multiple xenografts and chemotherapy administered. Analyses of the immediate post-treatment leukemic residuum at single-cell resolution revealed that chemotherapy has little impact on genetic heterogeneity. Rather, it acts on extensive, previously unappreciated, transcriptional and epigenetic heterogeneity in BCP-ALL, dramatically reducing the spectrum of cell states represented, leaving a genetically polyclonal but phenotypically uniform population with hallmark signatures relating to developmental stage, cell cycle and metabolism. Hence, canalization of cell state accounts for a significant component of bottleneck selection during induction chemotherapy.
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Affiliation(s)
| | | | | | - Rajeev Gupta
- UCL Cancer Institute, University College London, United Kingdom
| | - Simone Ecker
- UCL Cancer Institute, University College London, United Kingdom
| | | | | | - Amy P. Webster
- UCL Cancer Institute, University College London, United Kingdom
| | - Chuling Ding
- UCL Cancer Institute, University College London, United Kingdom
| | - Gillian May
- UCL Cancer Institute, University College London, United Kingdom
| | - Chela James
- UCL Cancer Institute, University College London, United Kingdom
| | - John Brown
- UCL Cancer Institute, University College London, United Kingdom
| | - Lucia Conde
- UCL Cancer Institute, University College London, United Kingdom
| | - Lisa J. Russell
- Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle University, UK
| | - Phil Ancliff
- Great Ormond Street Hospital, London, United Kingdom
| | - Sarah Inglott
- Great Ormond Street Hospital, London, United Kingdom
| | - Giovanni Cazzaniga
- Centro Ricerca M. Tettamanti, University of Milano Bicocca, Monza, Italy
| | - Andrea Biondi
- University of Milano-Bicocca, Department of Pediatrics, Fondazione MBBM/Ospedale San Gerardo, Monza, Italy
| | | | - Mark Lynch
- Fluidigm Corporation, San Francisco, CA, USA
| | - Mike Hubank
- Institute of Cancer Research, Sutton, United Kingdom
- Royal Marsden Hospital, Sutton, United Kingdom
| | | | - Stephan Beck
- UCL Cancer Institute, University College London, United Kingdom
| | | | - Sten E. Jacobsen
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DS, UK
- Center for Hematology and Regenerative Medicine, Department of Medicine and Department of Cell and Molecular Biology, Karolinska Institutet and Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Mel Greaves
- Institute of Cancer Research, Sutton, United Kingdom
| | - Javier Herrero
- UCL Cancer Institute, University College London, United Kingdom
| | - Tariq Enver
- UCL Cancer Institute, University College London, United Kingdom
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170
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Chauzeix J, Pastoret C, Donaty L, Gachard N, Fest T, Feuillard J, Rizzo D. A reduced panel of eight genes (ATM, SF3B1, NOTCH1, BIRC3, XPO1, MYD88, TNFAIP3, and TP53) as an estimator of the tumor mutational burden in chronic lymphocytic leukemia. Int J Lab Hematol 2021; 43:683-692. [PMID: 33325634 PMCID: PMC8451785 DOI: 10.1111/ijlh.13435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/10/2020] [Accepted: 11/24/2020] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Mutational complexity or tumor mutational burden (TMB) influences the course of chronic lymphocytic leukemia (CLL). However, this information is not routinely used because TMB is usually obtained from whole genome or exome, or from large gene panel high-throughput sequencing. METHODS Here, we used the C-Harrel concordance index to determine the minimum panel of genes for which mutations predict treatment-free survival (TFS) as well as large resequencing panels. RESULTS An eight gene estimator was defined encompassing ATM, SF3B1, NOTCH1, BIRC3, XPO1, MYD88, TNFAIP3, and TP53. TMB estimated from either a large panel of genes or the eight gene estimator was increased in treated patients or in those with a short TFS (<2 years), unmutated IGHV gene or with an unfavorable karyotype. Being an independent prognostic parameter, any mutation in the eight gene estimator predicted a shorter TFS better than Binet stage and IGHV mutational status among patients with an apparently non-progressive disease (TFS >6 months). Strikingly, the eight gene estimator was also highly informative for patients with Binet stage A CLL or with a good prognosis karyotype. CONCLUSION These results suggest that the eight gene estimator, that is easily achievable by high-throughput resequencing, brings robust and valuable information that predicts evolution of untreated patients at diagnosis better than any other parameter.
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Affiliation(s)
- Jasmine Chauzeix
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - Cédric Pastoret
- InsermMICMAC ‐ UMR_S 1236CHU RennesUniversité Rennes 1RennesFrance
| | - Lucie Donaty
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - Nathalie Gachard
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - Thierry Fest
- InsermMICMAC ‐ UMR_S 1236CHU RennesUniversité Rennes 1RennesFrance
| | - Jean Feuillard
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
| | - David Rizzo
- Laboratoire d'Hématologie etUMR CNRS 7276/INSERM 1262CRIBLCentre de Biologie et de Recherche en SantéCHU et Université de LimogesLimogesFrance
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171
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Abstract
Technological innovation and rapid reduction in sequencing costs have enabled the genomic profiling of hundreds of cancer-associated genes as a component of routine cancer care. Tumour genomic profiling can refine cancer subtype classification, identify which patients are most likely to benefit from systemic therapies and screen for germline variants that influence heritable cancer risk. Here, we discuss ongoing efforts to enhance the clinical utility of tumour genomic profiling by integrating tumour and germline analyses, characterizing allelic context and identifying mutational signatures that influence therapy response. We also discuss the potential clinical utility of more comprehensive whole-genome and whole-transcriptome sequencing and ultra-sensitive cell-free DNA profiling platforms, which allow for minimally invasive, serial analyses of tumour-derived DNA in blood.
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Affiliation(s)
- Debyani Chakravarty
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David B Solit
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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172
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Activation of the MAPK pathway mediates resistance to PI3K inhibitors in chronic lymphocytic leukemia. Blood 2021; 138:44-56. [PMID: 33684943 DOI: 10.1182/blood.2020006765] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 02/12/2021] [Indexed: 01/07/2023] Open
Abstract
Inhibitors of Bruton tyrosine kinase (BTK) and phosphatidylinositol 3-kinase δ (PI3Kδ) that target the B-cell receptor (BCR) signaling pathway have revolutionized the treatment of chronic lymphocytic leukemia (CLL). Mutations associated with resistance to BTK inhibitors have been identified, but limited data are available on mechanisms of resistance to PI3Kδ inhibitors. Here we present findings from longitudinal whole-exome sequencing of cells from patients with multiply relapsed CLL (N = 28) enrolled in trials of PI3K inhibitors. The nonresponder subgroup was characterized by baseline activating mutations in MAP2K1, BRAF, and KRAS genes in 60% of patients. PI3Kδ inhibition failed to inhibit ERK phosphorylation (pERK) in nonresponder CLL cells with and without mutations, whereas treatment with a MEK inhibitor rescued ERK inhibition. Overexpression of MAP2K1 mutants in vitro led to increased basal and inducible pERK and resistance to idelalisib. These data demonstrate that MAPK/ERK activation plays a key role in resistance to PI3Kδ inhibitors in CLL and provide a rationale for therapy with a combination of PI3Kδ and ERK inhibitors.
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173
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The impact of increasing karyotypic complexity and evolution on survival in CLL patients treated with ibrutinib. Blood 2021; 138:2372-2382. [PMID: 34314481 DOI: 10.1182/blood.2020010536] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 07/07/2021] [Indexed: 11/20/2022] Open
Abstract
Complex karyotype defined as ≥3 cytogenetic abnormalities is prognostic of survival in patients treated with ibrutinib or venetoclax in relapsed/refractory (RR) chronic lymphocytic leukemia (CLL). Recent studies re-evaluating this dichotomous variable have shown that higher numbers of cytogenetic abnormalities (i.e. ≥5) have a worse overall survival in patients treated with chemoimmunotherapy. We sought to determine if increasing karyotypic complexity, treated as a continuous variable, was prognostic of survival for patients treated with ibrutinib for CLL. We conducted a retrospective analysis of all patients with CLL treated with single-agent ibrutinib or in combination with an anti-CD20 antibody at our institution. We included 456 patients with both treatment-naïve (TN) and RR disease. Median number of prior therapies was 2 (range 0-13), 30% of patients had del(17p), and 75% were IGHV unmutated. 50% had ≥3 cytogenetic abnormalities including 30% with ≥5. In a multivariable analysis, increasing karyotypic complexity was an independent predictor of shorter progression-free survival (HR 1.07 (95% CI 1.04-1.10), p<0.0001) and overall survival (HR 1.09 (95% CI 1.05-1.12), p<0.0001). Furthermore, we found that presence of clonal evolution determined by cytogenetic analysis at progression was prognostic of subsequent survival (p=0.02). This solidifies karyotypic complexity as an important prognostic factor for CLL patients treated with ibrutinib. Further research should consider sequential karyotypic analysis as a determination of risk of progression and death in patients with CLL.
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174
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Abstract
Worldwide about one million patients are given anti-CD20 antibodies such as rituximab (RTX) for the treatment of B cell-associated diseases. Despite the success of this first therapeutic antibody, little is known about the function of its target. The role of CD20 only becomes clear in the context of the nanoscale compartmentalization of the B lymphocyte membrane. We found that CD20 is an organizer of the IgD-class nanocluster on the B cell membrane. The loss of CD20 on human B cells results in a dissolution of the IgD-class nanocluster and a transient B cell activation inducing a B cell-to-PC differentiation. Thus, CD20 is an essential gatekeeper of a membrane nanodomain and the resting state of naive B cells. CD20 is a B cell-specific membrane protein and represents an attractive target for therapeutic antibodies. Despite widespread usage of anti-CD20 antibodies for B cell depletion therapies, the biological function of their target remains unclear. Here, we demonstrate that CD20 controls the nanoscale organization of receptors on the surface of resting B lymphocytes. CRISPR/Cas9-mediated ablation of CD20 in resting B cells resulted in relocalization and interaction of the IgM-class B cell antigen receptor with the coreceptor CD19. This receptor rearrangement led to a transient activation of B cells, accompanied by the internalization of many B cell surface marker proteins. Reexpression of CD20 restored the expression of the B cell surface proteins and the resting state of Ramos B cells. Similarly, treatment of Ramos or naive human B cells with the anti-CD20 antibody rituximab induced nanoscale receptor rearrangements and transient B cell activation in vitro and in vivo. A departure from the resting B cell state followed by the loss of B cell identity of CD20-deficient Ramos B cells was accompanied by a PAX5 to BLIMP-1 transcriptional switch, metabolic reprogramming toward oxidative phosphorylation, and a shift toward plasma cell development. Thus, anti-CD20 engagement or the loss of CD20 disrupts membrane organization, profoundly altering the fate of human B cells.
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175
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Wang S, Xie K, Liu T. Cancer Immunotherapies: From Efficacy to Resistance Mechanisms - Not Only Checkpoint Matters. Front Immunol 2021; 12:690112. [PMID: 34367148 PMCID: PMC8335396 DOI: 10.3389/fimmu.2021.690112] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/05/2021] [Indexed: 01/05/2023] Open
Abstract
The immunotherapeutic treatment of various cancers with an increasing number of immune checkpoint inhibitors (ICIs) has profoundly improved the clinical management of advanced diseases. However, just a fraction of patients clinically responds to and benefits from the mentioned therapies; a large proportion of patients do not respond or quickly become resistant, and hyper- and pseudoprogression occur in certain patient populations. Furthermore, no effective predictive factors have been clearly screened or defined. In this review, we discuss factors underlying the elucidation of potential immunotherapeutic resistance mechanisms and the identification of predictive factors for immunotherapeutic responses. Considering the heterogeneity of tumours and the complex immune microenvironment (composition of various immune cell subtypes, disease processes, and lines of treatment), checkpoint expression levels may not be the only factors underlying immunotherapy difficulty and resistance. Researchers should consider the tumour microenvironment (TME) landscape in greater depth from the aspect of not only immune cells but also the tumour histology, molecular subtype, clonal heterogeneity and evolution as well as micro-changes in the fine structural features of the tumour area, such as myeloid cell polarization, fibroblast clusters and tertiary lymphoid structure formation. A comprehensive analysis of the immune and molecular profiles of tumour lesions is needed to determine the potential predictive value of the immune landscape on immunotherapeutic responses, and precision medicine has become more important.
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Affiliation(s)
- Shuyue Wang
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China
| | - Kun Xie
- German Cancer Research Center (DKFZ), Heidelberg University, Heidelberg, Germany
| | - Tengfei Liu
- Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
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176
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Bomben R, Rossi FM, Vit F, Bittolo T, D'Agaro T, Zucchetto A, Tissino E, Pozzo F, Vendramini E, Degan M, Zaina E, Cattarossi I, Varaschin P, Nanni P, Berton M, Braida A, Polesel J, Cohen JA, Santinelli E, Biagi A, Gentile M, Morabito F, Fronza G, Pozzato G, D'Arena G, Olivieri J, Bulian P, Pepper C, Hockaday A, Schuh A, Hillmen P, Rossi D, Chiarenza A, Zaja F, Di Raimondo F, Del Poeta G, Gattei V. TP53 Mutations with Low Variant Allele Frequency Predict Short Survival in Chronic Lymphocytic Leukemia. Clin Cancer Res 2021; 27:5566-5575. [PMID: 34285062 DOI: 10.1158/1078-0432.ccr-21-0701] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/10/2021] [Accepted: 07/15/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE In chronic lymphocytic leukemia (CLL), TP53 mutations are associated with reduced survival and resistance to standard chemoimmunotherapy (CIT). Nevertheless, the clinical impact of subclonal TP53 mutations below 10% to 15% variant allele frequency (VAF) remains unclear. EXPERIMENTAL DESIGN Using a training/validation approach, we retrospectively analyzed the clinical and biological features of TP53 mutations above (high-VAF) or below (low-VAF) the previously reported 10.0% VAF threshold, as determined by deep next-generation sequencing. Clinical impact of low-VAF TP53 mutations was also confirmed in a cohort (n = 251) of CLL treated with fludarabine-cyclophosphamide-rituximab (FCR) or FCR-like regimens from two UK trials. RESULTS In the training cohort, 97 of 684 patients bore 152 TP53 mutations, while in the validation cohort, 71 of 536 patients had 109 TP53 mutations. In both cohorts, patients with the TP53 mutation experienced significantly shorter overall survival (OS) than TP53 wild-type patients, regardless of the TP53 mutation VAF. By combining TP53 mutation and 17p13.1 deletion (del17p) data in the total cohort (n = 1,220), 113 cases were TP53 mutated only (73/113 with low-VAF mutations), 55 del17p/TP53 mutated (3/55 with low-VAF mutations), 20 del17p only, and 1,032 (84.6%) TP53 wild-type. A model including low-VAF cases outperformed the canonical model, which considered only high-VAF cases (c-indices 0.643 vs. 0.603, P < 0.0001), and improved the prognostic risk stratification of CLL International Prognostic Index. Clinical results were confirmed in CIT-treated cases (n = 552) from the retrospective cohort, and the UK trials cohort. CONCLUSIONS TP53 mutations affected OS regardless of VAF. This finding can be used to update the definition of TP53 mutated CLL for clinical purposes.
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Affiliation(s)
- Riccardo Bomben
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy.
| | - Francesca Maria Rossi
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Filippo Vit
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
- Department of Life Science, University of Trieste, Trieste, Italy
| | - Tamara Bittolo
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Tiziana D'Agaro
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Antonella Zucchetto
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Erika Tissino
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Federico Pozzo
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Elena Vendramini
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Massimo Degan
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Eva Zaina
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Ilaria Cattarossi
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Paola Varaschin
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Paola Nanni
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Michele Berton
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Alessandra Braida
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Jerry Polesel
- Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Jared A Cohen
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | | | - Annalisa Biagi
- Division of Haematology, University of Tor Vergata, Rome, Italy
| | | | - Fortunato Morabito
- Biothecnology Research Unit, AO of Cosenza, Cosenza, Italy
- Haematology and Bone Marrow Transplant Unit, Haemato-Oncology Department, Augusta Victoria Hospital, East Jerusalem, Israel
| | - Gilberto Fronza
- Mutagenesis and Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Gabriele Pozzato
- Department of Medical, Surgical and Health Sciences, University of Trieste, Italy
| | - Giovanni D'Arena
- Haematology Unit, Presidio Ospedaliero S. Luca, ASL Salerno, Italy
| | - Jacopo Olivieri
- Clinica Ematologica, Centro Trapianti e Terapie Cellulari "Carlo Melzi" DISM, Azienda Ospedaliera Universitaria S. Maria Misericordia, Udine, Italy
| | - Pietro Bulian
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy
| | - Chris Pepper
- University of Sussex, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Anna Hockaday
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Anna Schuh
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Peter Hillmen
- Section of Experimental Haematology, Leeds Institute of Cancer and Pathology (LICAP), University of Leeds, Leeds, United Kingdom
| | - Davide Rossi
- Haematology, Institute of Oncology Research, Bellinzona, Switzerland
- Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | | | - Francesco Zaja
- Department of Medical, Surgical and Health Sciences, University of Trieste, Italy
| | | | | | - Valter Gattei
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano (PN), Italy.
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177
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Leystra AA, Gilsdorf BJ, Wisinger AM, Warda ER, Wiegand S, Zahm CD, Matkowskyj KA, Deming DA, Khan N, Rosemarie Q, Sievers CK, Schwartz AR, Albrecht DM, Clipson L, Mukhtar H, Newton MA, Halberg RB. Multi-ancestral origin of intestinal tumors: Impact on growth, progression, and drug efficacy. Cancer Rep (Hoboken) 2021; 5:e1459. [PMID: 34245130 PMCID: PMC8842699 DOI: 10.1002/cnr2.1459] [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: 11/17/2020] [Revised: 03/24/2021] [Accepted: 04/21/2021] [Indexed: 11/07/2022] Open
Abstract
Background Data are steadily accruing that demonstrate that intestinal tumors are frequently derived from multiple founding cells, resulting in tumors comprised of distinct ancestral clones that might cooperate or alternatively compete, thereby potentially impacting different phases of the disease process. Aim We sought to determine whether tumors with a multi‐ancestral architecture involving at least two distinct clones show increased tumor number, growth, progression, or resistance to drug intervention. Methods Mice carrying the Min allele of Apc were generated that were mosaic with only a subset of cells in the intestinal epithelium expressing an activated form of PI3K, a key regulatory kinase affecting several important cellular processes. These cells were identifiable as they fluoresced green, whereas all other cells fluoresced red. Results Cell lineage tracing revealed that many intestinal tumors from our mouse model were derived from at least two founding cells, those expressing the activated PI3K (green) and those which did not (red). Heterotypic tumors with a multi‐ancestral architecture as evidenced by a mixture of green and red cells exhibited increased tumor growth and invasiveness. Clonal architecture also had an impact on tumor response to low‐dose aspirin. Aspirin treatment resulted in a greater reduction of heterotypic tumors derived from multiple founding cells as compared to tumors derived from a single founding cell. Conclusion These data indicate that genetically distinct tumor‐founding cells can contribute to early intratumoral heterogeneity. The coevolution of the founding cells and their progeny enhances colon tumor progression and impacts the response to aspirin. These findings are important to a more complete understanding of tumorigenesis with consequences for several distinct models of tumor evolution. They also have practical implications to the clinic. Mouse models with heterogenous tumors are likely better for predicting drug efficacy as compared to models in which the tumors are highly homogeneous. Moreover, understanding how interactions among different populations in a single heterotypic tumor with a multi‐ancestral architecture impact response to a single agent and combination therapies are necessary to fully develop personalized medicine.
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Affiliation(s)
- Alyssa A Leystra
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,Division of Gastroenterology and Hepatology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Brock J Gilsdorf
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Amanda M Wisinger
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Elise R Warda
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Shanna Wiegand
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Christopher D Zahm
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Kristina A Matkowskyj
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Dustin A Deming
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,Division of Hematology and Oncology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Naghma Khan
- University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,Department of Dermatology, University of Wisconsin, Madison, Wisconsin, USA
| | - Quincy Rosemarie
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Chelsie K Sievers
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,Division of Gastroenterology and Hepatology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Alexander R Schwartz
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Dawn M Albrecht
- Division of Gastroenterology and Hepatology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Linda Clipson
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Hasan Mukhtar
- University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,Department of Dermatology, University of Wisconsin, Madison, Wisconsin, USA
| | - Michael A Newton
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Richard B Halberg
- McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,Division of Gastroenterology and Hepatology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.,University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
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178
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Multifunctional barcoding with ClonMapper enables high-resolution study of clonal dynamics during tumor evolution and treatment. NATURE CANCER 2021; 2:758-772. [PMID: 34939038 DOI: 10.1038/s43018-021-00222-8] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Lineage-tracing methods have enabled characterization of clonal dynamics in complex populations, but generally lack the ability to integrate genomic, epigenomic and transcriptomic measurements with live-cell manipulation of specific clones of interest. We developed a functionalized lineage-tracing system, ClonMapper, which integrates DNA barcoding with single-cell RNA sequencing and clonal isolation to comprehensively characterize thousands of clones within heterogeneous populations. Using ClonMapper, we identified subpopulations of a chronic lymphocytic leukemia cell line with distinct clonal compositions, transcriptional signatures and chemotherapy survivorship trajectories; patterns that were also observed in primary human chronic lymphocytic leukemia. The ability to retrieve specific clones before, during and after treatment enabled direct measurements of clonal diversification and durable subpopulation transcriptional signatures. ClonMapper is a powerful multifunctional approach to dissect the complex clonal dynamics of tumor progression and therapeutic response.
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179
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Taus P, Pospisilova S, Plevova K. Identification of Clinically Relevant Subgroups of Chronic Lymphocytic Leukemia Through Discovery of Abnormal Molecular Pathways. Front Genet 2021; 12:627964. [PMID: 34262590 PMCID: PMC8273263 DOI: 10.3389/fgene.2021.627964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 05/04/2021] [Indexed: 11/13/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is the most common form of adult leukemia in the Western world with a highly variable clinical course. Its striking genetic heterogeneity is not yet fully understood. Although the CLL genetic landscape has been well-described, patient stratification based on mutation profiles remains elusive mainly due to the heterogeneity of data. Here we attempted to decrease the heterogeneity of somatic mutation data by mapping mutated genes in the respective biological processes. From the sequencing data gathered by the International Cancer Genome Consortium for 506 CLL patients, we generated pathway mutation scores, applied ensemble clustering on them, and extracted abnormal molecular pathways with a machine learning approach. We identified four clusters differing in pathway mutational profiles and time to first treatment. Interestingly, common CLL drivers such as ATM or TP53 were associated with particular subtypes, while others like NOTCH1 or SF3B1 were not. This study provides an important step in understanding mutational patterns in CLL.
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Affiliation(s)
- Petr Taus
- Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Sarka Pospisilova
- Central European Institute of Technology, Masaryk University, Brno, Czechia.,Department of Internal Medicine - Hematology and Oncology, University Hospital Brno, Brno, Czechia.,Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Karla Plevova
- Central European Institute of Technology, Masaryk University, Brno, Czechia.,Department of Internal Medicine - Hematology and Oncology, University Hospital Brno, Brno, Czechia.,Faculty of Medicine, Masaryk University, Brno, Czechia
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180
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López-Oreja I, Playa-Albinyana H, Arenas F, López-Guerra M, Colomer D. Challenges with Approved Targeted Therapies against Recurrent Mutations in CLL: A Place for New Actionable Targets. Cancers (Basel) 2021; 13:3150. [PMID: 34202439 PMCID: PMC8269088 DOI: 10.3390/cancers13133150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/19/2021] [Accepted: 06/21/2021] [Indexed: 12/17/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is characterized by a high degree of genetic variability and interpatient heterogeneity. In the last decade, novel alterations have been described. Some of them impact on the prognosis and evolution of patients. The approval of BTK inhibitors, PI3K inhibitors and Bcl-2 inhibitors has drastically changed the treatment of patients with CLL. The effect of these new targeted therapies has been widely analyzed in TP53-mutated cases, but few data exist about the response of patients carrying other recurrent mutations. In this review, we describe the biological pathways recurrently altered in CLL that might have an impact on the response to these new therapies together with the possibility to use new actionable targets to optimize treatment responses.
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Affiliation(s)
- Irene López-Oreja
- Experimental Therapies in Lymphoid Neoplasms, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; (I.L.-O.); (H.P.-A.); (F.A.); (M.L.-G.)
- Centro de Investigación Biomédica en Red en Oncología (CIBERONC), 28029 Madrid, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain
- Universitat Pompeu Fabra, 08005 Barcelona, Spain
| | - Heribert Playa-Albinyana
- Experimental Therapies in Lymphoid Neoplasms, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; (I.L.-O.); (H.P.-A.); (F.A.); (M.L.-G.)
- Centro de Investigación Biomédica en Red en Oncología (CIBERONC), 28029 Madrid, Spain
| | - Fabián Arenas
- Experimental Therapies in Lymphoid Neoplasms, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; (I.L.-O.); (H.P.-A.); (F.A.); (M.L.-G.)
- Centro de Investigación Biomédica en Red en Oncología (CIBERONC), 28029 Madrid, Spain
| | - Mónica López-Guerra
- Experimental Therapies in Lymphoid Neoplasms, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; (I.L.-O.); (H.P.-A.); (F.A.); (M.L.-G.)
- Centro de Investigación Biomédica en Red en Oncología (CIBERONC), 28029 Madrid, Spain
- Hematopathology Section, Hospital Clínic, University of Barcelona, 08036 Barcelona, Spain
| | - Dolors Colomer
- Experimental Therapies in Lymphoid Neoplasms, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; (I.L.-O.); (H.P.-A.); (F.A.); (M.L.-G.)
- Centro de Investigación Biomédica en Red en Oncología (CIBERONC), 28029 Madrid, Spain
- Hematopathology Section, Hospital Clínic, University of Barcelona, 08036 Barcelona, Spain
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181
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Computational modeling of ovarian cancer dynamics suggests optimal strategies for therapy and screening. Proc Natl Acad Sci U S A 2021; 118:2026663118. [PMID: 34161278 DOI: 10.1073/pnas.2026663118] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
High-grade serous tubo-ovarian carcinoma (HGSC) is a major cause of cancer-related death. Treatment is not uniform, with some patients undergoing primary debulking surgery followed by chemotherapy (PDS) and others being treated directly with chemotherapy and only having surgery after three to four cycles (NACT). Which strategy is optimal remains controversial. We developed a mathematical framework that simulates hierarchical or stochastic models of tumor initiation and reproduces the clinical course of HGSC. After estimating parameter values, we infer that most patients harbor chemoresistant HGSC cells at diagnosis and that, if the tumor burden is not too large and complete debulking can be achieved, PDS is superior to NACT due to better depletion of resistant cells. We further predict that earlier diagnosis of primary HGSC, followed by complete debulking, could improve survival, but its benefit in relapsed patients is likely to be limited. These predictions are supported by primary clinical data from multiple cohorts. Our results have clear implications for these key issues in HGSC management.
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182
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Smith CIE, Burger JA. Resistance Mutations to BTK Inhibitors Originate From the NF-κB but Not From the PI3K-RAS-MAPK Arm of the B Cell Receptor Signaling Pathway. Front Immunol 2021; 12:689472. [PMID: 34177947 PMCID: PMC8222783 DOI: 10.3389/fimmu.2021.689472] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/05/2021] [Indexed: 12/24/2022] Open
Abstract
Since the first clinical report in 2013, inhibitors of the intracellular kinase BTK (BTKi) have profoundly altered the treatment paradigm of B cell malignancies, replacing chemotherapy with targeted agents in patients with chronic lymphocytic leukemia (CLL), mantle cell lymphoma (MCL), and Waldenström's macroglobulinemia. There are over 20 BTKi, both irreversible and reversible, in clinical development. While loss-of-function (LoF) mutations in the BTK gene cause the immunodeficiency X-linked agammaglobulinemia, neither inherited, nor somatic BTK driver mutations are known. Instead, BTKi-sensitive malignancies are addicted to BTK. BTK is activated by upstream surface receptors, especially the B cell receptor (BCR) but also by chemokine receptors, and adhesion molecules regulating B cell homing. Consequently, BTKi therapy abrogates BCR-driven proliferation and the tissue homing capacity of the malignant cells, which are being redistributed into peripheral blood. BTKi resistance can develop over time, especially in MCL and high-risk CLL patients. Frequently, resistance mutations affect the BTKi binding-site, cysteine 481, thereby reducing drug binding. Less common are gain-of-function (GoF) mutations in downstream signaling components, including phospholipase Cγ2 (PLCγ2). In a subset of patients, mechanisms outside of the BCR pathway, related e.g. to resistance to apoptosis were described. BCR signaling depends on many proteins including SYK, BTK, PI3K; still based on the resistance pattern, BTKi therapy only selects GoF alterations in the NF-κB arm, whereas an inhibitor of the p110δ subunit of PI3K instead selects resistance mutations in the RAS-MAP kinase pathway. BTK and PLCγ2 resistance mutations highlight BTK's non-redundant role in BCR-mediated NF-κB activation. Of note, mutations affecting BTK tend to generate clone sizes larger than alterations in PLCγ2. This infers that BTK signaling may go beyond the PLCγ2-regulated NF-κB and NFAT arms. Collectively, when comparing the primary and acquired mutation spectrum in BTKi-sensitive malignancies with the phenotype of the corresponding germline alterations, we find that certain observations do not readily fit with the existing models of BCR signaling.
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Affiliation(s)
- C. I. Edvard Smith
- Department of Laboratory Medicine, Karolinska Institutet (KI), Huddinge, Sweden
| | - Jan A. Burger
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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183
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Notch signaling promotes disease initiation and progression in murine chronic lymphocytic leukemia. Blood 2021; 137:3079-3092. [PMID: 33512383 DOI: 10.1182/blood.2020006701] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 12/04/2020] [Indexed: 01/08/2023] Open
Abstract
NOTCH1 gain-of-function mutations are recurrent in B-cell chronic lymphocytic leukemia (B-CLL), where they are associated with accelerated disease progression and refractoriness to chemotherapy. The specific role of NOTCH1 in the development and progression of this malignancy is unclear. Here, we assess the impact of loss of Notch signaling and pathway hyperactivation in an in vivo mouse model of CLL (IgH.TEμ) that faithfully replicates many features of the human pathology. Ablation of canonical Notch signaling using conditional gene inactivation of RBP-J in immature hematopoietic or B-cell progenitors delayed CLL induction and reduced incidence of mice developing disease. In contrast, forced expression of a dominant active form of Notch resulted in more animals developing CLL with early disease onset. Comparative analysis of gene expression and epigenetic features of Notch gain-of-function and control CLL cells revealed direct and indirect regulation of cell cycle-associated genes, which led to increased proliferation of Notch gain-of-function CLL cells in vivo. These results demonstrate that Notch signaling facilitates disease initiation and promotes CLL cell proliferation and disease progression.
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184
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Abstract
The observation and analysis of intra-tumour heterogeneity (ITH), particularly in genomic studies, has advanced our understanding of the evolutionary forces that shape cancer growth and development. However, only a subset of the variation observed in a single tumour will have an impact on cancer evolution, highlighting the need to distinguish between functional and non-functional ITH. Emerging studies highlight a role for the cancer epigenome, transcriptome and immune microenvironment in functional ITH. Here, we consider the importance of both genetic and non-genetic ITH and their role in tumour evolution, and present the rationale for a broad research focus beyond the cancer genome. Systems-biology analytical approaches will be necessary to outline the scale and importance of functional ITH. By allowing a deeper understanding of tumour evolution this will, in time, encourage development of novel therapies and improve outcomes for patients.
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Affiliation(s)
- James R M Black
- Cancer Genome Evolution Research Group, University College London Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Center of Excellence, University College London Cancer Institute, London, UK
| | - Nicholas McGranahan
- Cancer Genome Evolution Research Group, University College London Cancer Institute, London, UK.
- Cancer Research UK Lung Cancer Center of Excellence, University College London Cancer Institute, London, UK.
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185
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Armarego M, Gottlieb D, Dunlop L, Cooney JP. Combined chronic myeloid leukaemia and chronic lymphocytic leukaemia in five patients, including one with 17p deletion. Intern Med J 2021; 51:580-584. [PMID: 33890366 DOI: 10.1111/imj.15271] [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: 08/23/2019] [Revised: 11/23/2020] [Accepted: 12/02/2020] [Indexed: 11/28/2022]
Abstract
We report a series of five Australian cases of chronic lymphocytic leukaemia (CLL) occurring concurrently with chronic myeloid leukaemia (CML). Patient management including therapies and response together with clinical progress was obtained from medical records and laboratory information systems. Prior to CML diagnosis, all five had a preceding diagnosis of CLL. Three had received prior fludarabine. All received tyrosine kinase inhibitors (TKI). None required subsequent therapy for CLL. One patient had 17p deletion CLL and another patient had normal CLL cytogenetics. All currently have satisfactory blood counts with quantitative polymerase chain reaction for CML showing molecular response. All remain alive. Thus, such cases can be successfully managed by treating each haematological disorder in the usual manner. The control achieved in CML with the TKI enables satisfactory marrow function to recover in patients with concomitant CLL. The role for allograft in patients with dual malignancies is uncertain and needs to be individualised depending on control of each malignancy.
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Affiliation(s)
- Michael Armarego
- School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - David Gottlieb
- Westmead Hospital Sydney, University of Sydney, Sydney, New South Wales, Australia
| | - Lindsay Dunlop
- Department of Haematology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Julian P Cooney
- Department of Haematology, Fiona Stanley Hospital, Perth, Western Australia, Australia.,Medical School, University of Western Australia, Perth, Western Australia, Australia
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186
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Jiménez I, Tazón-Vega B, Abrisqueta P, Nieto JC, Bobillo S, Palacio-García C, Carabia J, Valdés-Mas R, Munuera M, Puigdefàbregas L, Parra G, Esteve-Codina A, Franco-Jarava C, Iacoboni G, Terol MJ, García-Marco JA, Crespo M, Bosch F. Immunological and genetic kinetics from diagnosis to clinical progression in chronic lymphocytic leukemia. Biomark Res 2021; 9:37. [PMID: 34016160 PMCID: PMC8138982 DOI: 10.1186/s40364-021-00290-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 04/26/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Mechanisms driving the progression of chronic lymphocytic leukemia (CLL) from its early stages are not fully understood. The acquisition of molecular changes at the time of progression has been observed in a small fraction of patients, suggesting that CLL progression is not mainly driven by dynamic clonal evolution. In order to shed light on mechanisms that lead to CLL progression, we investigated longitudinal changes in both the genetic and immunological scenarios. METHODS We performed genetic and immunological longitudinal analysis using paired primary samples from untreated CLL patients that underwent clinical progression (sampling at diagnosis and progression) and from patients with stable disease (sampling at diagnosis and at long-term asymptomatic follow-up). RESULTS Molecular analysis showed limited and non-recurrent molecular changes at progression, indicating that clonal evolution is not the main driver of clinical progression. Our analysis of the immune kinetics found an increasingly dysfunctional CD8+ T cell compartment in progressing patients that was not observed in those patients that remained asymptomatic. Specifically, terminally exhausted effector CD8+ T cells (T-betdim/-EomeshiPD1hi) accumulated, while the the co-expression of inhibitory receptors (PD1, CD244 and CD160) increased, along with an altered gene expression profile in T cells only in those patients that progressed. In addition, malignant cells from patients at clinical progression showed enhanced capacity to induce exhaustion-related markers in CD8+ T cells ex vivo mainly through a mechanism dependent on soluble factors including IL-10. CONCLUSIONS Altogether, we demonstrate that the interaction with the immune microenvironment plays a key role in clinical progression in CLL, thereby providing a rationale for the use of early immunotherapeutic intervention.
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Affiliation(s)
- Isabel Jiménez
- Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, C/Natzaret 115-117, 08035, Barcelona, Spain.,Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Bárbara Tazón-Vega
- Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,Servei d'Hematologia, Vall d'Hebron Hospital Universitari, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Pau Abrisqueta
- Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,Servei d'Hematologia, Vall d'Hebron Hospital Universitari, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Juan C Nieto
- Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, C/Natzaret 115-117, 08035, Barcelona, Spain.,Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Sabela Bobillo
- Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,Servei d'Hematologia, Vall d'Hebron Hospital Universitari, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Carles Palacio-García
- Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,Servei d'Hematologia, Vall d'Hebron Hospital Universitari, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Júlia Carabia
- Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, C/Natzaret 115-117, 08035, Barcelona, Spain.,Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | | | - Magdalena Munuera
- Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, C/Natzaret 115-117, 08035, Barcelona, Spain.,Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Lluís Puigdefàbregas
- Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, C/Natzaret 115-117, 08035, Barcelona, Spain.,Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Genís Parra
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, 08003, Barcelona, Spain.,Universitat Pompeu Fabra, 08002, Barcelona, Spain
| | - Anna Esteve-Codina
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, 08003, Barcelona, Spain.,Universitat Pompeu Fabra, 08002, Barcelona, Spain
| | - Clara Franco-Jarava
- Servei d'Immunologia, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Gloria Iacoboni
- Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,Servei d'Hematologia, Vall d'Hebron Hospital Universitari, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - María José Terol
- Department of Hematology, Clínic University Hospital, INCLIVA Biomedical Research Institute, 46010, Valencia, Spain
| | | | - Marta Crespo
- Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, C/Natzaret 115-117, 08035, Barcelona, Spain.,Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Francesc Bosch
- Department de Medicina, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain. .,Servei d'Hematologia, Vall d'Hebron Hospital Universitari, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
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187
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Klintman J, Appleby N, Stamatopoulos B, Ridout K, Eyre TA, Robbe P, Pascua LL, Knight SJL, Dreau H, Cabes M, Popitsch N, Ehinger M, Martín-Subero JI, Campo E, Månsson R, Rossi D, Taylor JC, Vavoulis DV, Schuh A. Genomic and transcriptomic correlates of Richter transformation in chronic lymphocytic leukemia. Blood 2021; 137:2800-2816. [PMID: 33206936 PMCID: PMC8163497 DOI: 10.1182/blood.2020005650] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 11/09/2020] [Indexed: 02/06/2023] Open
Abstract
The transformation of chronic lymphocytic leukemia (CLL) to high-grade B-cell lymphoma is known as Richter syndrome (RS), a rare event with dismal prognosis. In this study, we conducted whole-genome sequencing (WGS) of paired circulating CLL (PB-CLL) and RS biopsies (tissue-RS) from 17 patients recruited into a clinical trial (CHOP-O). We found that tissue-RS was enriched for mutations in poor-risk CLL drivers and genes in the DNA damage response (DDR) pathway. In addition, we identified genomic aberrations not previously implicated in RS, including the protein tyrosine phosphatase receptor (PTPRD) and tumor necrosis factor receptor-associated factor 3 (TRAF3). In the noncoding genome, we discovered activation-induced cytidine deaminase-related and unrelated kataegis in tissue-RS affecting regulatory regions of key immune-regulatory genes. These include BTG2, CXCR4, NFATC1, PAX5, NOTCH-1, SLC44A5, FCRL3, SELL, TNIP2, and TRIM13. Furthermore, differences between the global mutation signatures of pairs of PB-CLL and tissue-RS samples implicate DDR as the dominant mechanism driving transformation. Pathway-based clonal deconvolution analysis showed that genes in the MAPK and DDR pathways demonstrate high clonal-expansion probability. Direct comparison of nodal-CLL and tissue-RS pairs from an independent cohort confirmed differential expression of the same pathways by RNA expression profiling. Our integrated analysis of WGS and RNA expression data significantly extends previous targeted approaches, which were limited by the lack of germline samples, and it facilitates the identification of novel genomic correlates implicated in RS transformation, which could be targeted therapeutically. Our results inform the future selection of investigative agents for a UK clinical platform study. This trial was registered at www.clinicaltrials.gov as #NCT03899337.
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MESH Headings
- Aged
- Aged, 80 and over
- Antibodies, Monoclonal, Humanized/therapeutic use
- Antineoplastic Combined Chemotherapy Protocols/administration & dosage
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Base Sequence
- Clonal Evolution/genetics
- Clone Cells/pathology
- Combined Modality Therapy
- Cyclophosphamide/administration & dosage
- DNA Repair
- Disease Progression
- Doxorubicin/administration & dosage
- Female
- Gene Expression Regulation, Neoplastic/genetics
- Gene Regulatory Networks
- Genes, Neoplasm
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Male
- Middle Aged
- Mutation
- Neoplasm Proteins/genetics
- Prednisone/administration & dosage
- Prospective Studies
- RNA, Neoplasm/biosynthesis
- RNA, Neoplasm/genetics
- Syndrome
- Transcriptome
- Vincristine/administration & dosage
- Whole Genome Sequencing
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Affiliation(s)
- Jenny Klintman
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Translational Medicine, Skåne University Hospital, Lund University, Lund, Sweden
| | - Niamh Appleby
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Hematology, Oxford University Hospitals National Health Service (NHS) Trust, Oxford, United Kingdom
| | - Basile Stamatopoulos
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Laboratory of Clinical Cell Therapy, Jules Bordet Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Katie Ridout
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Toby A Eyre
- Department of Hematology, Oxford University Hospitals National Health Service (NHS) Trust, Oxford, United Kingdom
| | - Pauline Robbe
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Laura Lopez Pascua
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Samantha J L Knight
- National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Helene Dreau
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Maite Cabes
- Department of Hematology, Oxford University Hospitals National Health Service (NHS) Trust, Oxford, United Kingdom
| | - Niko Popitsch
- National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- The Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Mats Ehinger
- Pathology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden
| | - Jose I Martín-Subero
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Elías Campo
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Robert Månsson
- Center for Hematology and Regenerative Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, Sweden; and
| | - Davide Rossi
- Institute of Oncology Research (IOR), Bellinzona, Switzerland
| | - Jenny C Taylor
- National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Dimitrios V Vavoulis
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Anna Schuh
- Molecular Diagnostic Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
- Department of Hematology, Oxford University Hospitals National Health Service (NHS) Trust, Oxford, United Kingdom
- National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
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188
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McCarthy ME, Anglin CM, Peer HA, Boleman SA, Klaubert SR, Birtwistle MR. Protocol for Creating Antibodies with Complex Fluorescence Spectra. Bioconjug Chem 2021; 32:1156-1166. [PMID: 34009954 DOI: 10.1021/acs.bioconjchem.1c00220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Fluorescent antibodies are a workhorse of biomedical science, but fluorescence multiplexing has been notoriously difficult due to spectral overlap between fluorophores. We recently established proof-of-principal for fluorescence Multiplexing using Spectral Imaging and Combinatorics (MuSIC), which uses combinations of existing fluorophores to create unique spectral signatures for increased multiplexing. However, a method for labeling antibodies with MuSIC probes has not yet been developed. Here, we present a method for labeling antibodies with MuSIC probes. We conjugate a DBCO-Peg5-NHS ester linker to antibodies and a single-stranded DNA "docking strand" to the linker and, finally, hybridize two MuSIC-compatible, fluorescently labeled oligos to the docking strand. We validate the labeling protocol with spin-column purification and absorbance measurements. We demonstrate the approach using (i) Cy3, (ii) Tex615, and (iii) a Cy3-Tex615 combination as three different MuSIC probes attached to three separate batches of antibodies. We created single-, double-, and triple-positive beads that are analogous to single cells by incubating MuSIC probe-labeled antibodies with protein A beads. Spectral flow cytometry experiments demonstrate that each MuSIC probe can be uniquely distinguished, and the fraction of beads in a mixture with different staining patterns are accurately inferred. The approach is general and might be more broadly applied to cell-type profiling or tissue heterogeneity studies in clinical, biomedical, and drug discovery research.
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Affiliation(s)
- Madeline E McCarthy
- Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
| | - Caitlin M Anglin
- Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
| | - Heather A Peer
- Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
| | - Sevanna A Boleman
- Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
| | - Stephanie R Klaubert
- Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
| | - Marc R Birtwistle
- Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
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189
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Morris ER, Kunzelmann S, Caswell SJ, Purkiss AG, Kelly G, Taylor IA. Probing the Catalytic Mechanism and Inhibition of SAMHD1 Using the Differential Properties of R p- and S p-dNTPαS Diastereomers. Biochemistry 2021; 60:1682-1698. [PMID: 33988981 PMCID: PMC8173608 DOI: 10.1021/acs.biochem.0c00944] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
SAMHD1 is a fundamental regulator of cellular dNTPs that catalyzes their hydrolysis into 2'-deoxynucleoside and triphosphate, restricting the replication of viruses, including HIV-1, in CD4+ myeloid lineage and resting T-cells. SAMHD1 mutations are associated with the autoimmune disease Aicardi-Goutières syndrome (AGS) and certain cancers. More recently, SAMHD1 has been linked to anticancer drug resistance and the suppression of the interferon response to cytosolic nucleic acids after DNA damage. Here, we probe dNTP hydrolysis and inhibition of SAMHD1 using the Rp and Sp diastereomers of dNTPαS nucleotides. Our biochemical and enzymological data show that the α-phosphorothioate substitution in Sp-dNTPαS but not Rp-dNTPαS diastereomers prevents Mg2+ ion coordination at both the allosteric and catalytic sites, rendering SAMHD1 unable to form stable, catalytically active homotetramers or hydrolyze substrate dNTPs at the catalytic site. Furthermore, we find that Sp-dNTPαS diastereomers competitively inhibit dNTP hydrolysis, while Rp-dNTPαS nucleotides stabilize tetramerization and are hydrolyzed with similar kinetic parameters to cognate dNTPs. For the first time, we present a cocrystal structure of SAMHD1 with a substrate, Rp-dGTPαS, in which an Fe-Mg-bridging water species is poised for nucleophilic attack on the Pα. We conclude that it is the incompatibility of Mg2+, a hard Lewis acid, and the α-phosphorothioate thiol, a soft Lewis base, that prevents the Sp-dNTPαS nucleotides coordinating in a catalytically productive conformation. On the basis of these data, we present a model for SAMHD1 stereospecific hydrolysis of Rp-dNTPαS nucleotides and for a mode of competitive inhibition by Sp-dNTPαS nucleotides that competes with formation of the enzyme-substrate complex.
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Affiliation(s)
- Elizabeth R Morris
- Macromolecular Structure Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, U.K
| | - Simone Kunzelmann
- Structural Biology Science Technology Platform, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, U.K
| | - Sarah J Caswell
- Macromolecular Structure Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, U.K
| | - Andrew G Purkiss
- Structural Biology Science Technology Platform, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, U.K
| | - Geoff Kelly
- The Medical Research Council Biomedical NMR Centre, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, U.K
| | - Ian A Taylor
- Macromolecular Structure Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, U.K
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190
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Tang Z, Kanagal-Shamanna R, Tang G, Patel K, Medeiros LJ, Toruner GA. Analytical and clinical performance of chromosomal microarrays compared with FISH panel and conventional karyotyping in patients with chronic lymphocytic leukemia. Leuk Res 2021; 108:106616. [PMID: 34022744 DOI: 10.1016/j.leukres.2021.106616] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 11/19/2022]
Abstract
In this single center retrospective analysis on 102 CLL patients, we assessed analytical and clinical performance of CMA against a targeted FISH panel (ATM, TP53, CEP12, D13S319 and LAMP1 loci) and karyotyping. CMA yielded additional information compared to karyotype in 39 cases (38 %). On the other hand, while CMA detected aberrations were also detected by FISH in all 31 cases (30 %), aberrations with low clonal size (<30 %) detected by FISH were missed by CMA. When evaluated with National Cancer Center Network (NCCN) guidelines, the capture rate of prognostic relevant cytogenetic information for FISH only, FISH + Chromosomes and FISH + CMA analyses were 95, 96 and 100 % respectively. With Cancer Cytogenomics Consortium (CGC) Criteria, these figures for FISH only, FISH + Chromosomes and FISH + CMA were 88 %, 92 and 100 % respectively. In conclusion, CMA provides additional analytical information to FISH and karyotyping, but this information has a clinical utility only in a small number of patients. Limit of detection (LOD) issues preclude replacement of FISH by CMA, but CMA may be a viable alternative to karyotyping. Further research is warranted.
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Affiliation(s)
- Zhenya Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Guilin Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Keyur Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Gokce A Toruner
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States.
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191
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Oppezzo P, Navarrete M, Chiorazzi N. AID in Chronic Lymphocytic Leukemia: Induction and Action During Disease Progression. Front Oncol 2021; 11:634383. [PMID: 34041018 PMCID: PMC8141630 DOI: 10.3389/fonc.2021.634383] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 02/23/2021] [Indexed: 12/12/2022] Open
Abstract
The enzyme activation-induced cytidine deaminase (AID) initiates somatic hypermutation (SHM) and class switch recombination (CSR) of immunoglobulin (Ig) genes, critical actions for an effective adaptive immune response. However, in addition to the benefits generated by its physiological roles, AID is an etiological factor for the development of human and murine leukemias and lymphomas. This review highlights the pathological role of AID and the consequences of its actions on the development, progression, and therapeutic refractoriness of chronic lymphocytic leukemia (CLL) as a model disease for mature lymphoid malignancies. First, we summarize pertinent aspects of the expression and function of AID in normal B lymphocytes. Then, we assess putative causes for AID expression in leukemic cells emphasizing the role of an activated microenvironment. Thirdly, we discuss the role of AID in lymphomagenesis, in light of recent data obtained by NGS analyses on the genomic landscape of leukemia and lymphomas, concentrating on the frequency of AID signatures in these cancers and correlating previously described tumor-gene drivers with the presence of AID off-target mutations. Finally, we discuss how these changes could affect tumor suppressor and proto-oncogene targets and how they could be associated with disease progression. Collectively, we hope that these sections will help to better understand the complex paradox between the physiological role of AID in adaptive immunity and its potential causative activity in B-cell malignancies.
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Affiliation(s)
- Pablo Oppezzo
- Research Laboratory on Chronic Lymphocytic Leukemia, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | | | - Nicholas Chiorazzi
- The Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, New York, NY, United States
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192
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Pérez-Carretero C, González-Gascón-y-Marín I, Rodríguez-Vicente AE, Quijada-Álamo M, Hernández-Rivas JÁ, Hernández-Sánchez M, Hernández-Rivas JM. The Evolving Landscape of Chronic Lymphocytic Leukemia on Diagnosis, Prognosis and Treatment. Diagnostics (Basel) 2021; 11:diagnostics11050853. [PMID: 34068813 PMCID: PMC8151186 DOI: 10.3390/diagnostics11050853] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/25/2021] [Accepted: 05/05/2021] [Indexed: 12/22/2022] Open
Abstract
The knowledge of chronic lymphocytic leukemia (CLL) has progressively deepened during the last forty years. Research activities and clinical studies have been remarkably fruitful in novel findings elucidating multiple aspects of the pathogenesis of the disease, improving CLL diagnosis, prognosis and treatment. Whereas the diagnostic criteria for CLL have not substantially changed over time, prognostication has experienced an expansion with the identification of new biological and genetic biomarkers. Thanks to next-generation sequencing (NGS), an unprecedented number of gene mutations were identified with potential prognostic and predictive value in the 2010s, although significant work on their validation is still required before they can be used in a routine clinical setting. In terms of treatment, there has been an impressive explosion of new approaches based on targeted therapies for CLL patients during the last decade. In this current chemotherapy-free era, BCR and BCL2 inhibitors have changed the management of CLL patients and clearly improved their prognosis and quality of life. In this review, we provide an overview of these novel advances, as well as point out questions that should be further addressed to continue improving the outcomes of patients.
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Affiliation(s)
- Claudia Pérez-Carretero
- Cancer Research Center (IBMCC) CSIC-University of Salamanca, 37007 Salamanca, Spain; (C.P.-C.); (A.E.R.-V.); (M.Q.-Á.)
- Instituto de Investigación Biomédica (IBSAL), 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
| | | | - Ana E. Rodríguez-Vicente
- Cancer Research Center (IBMCC) CSIC-University of Salamanca, 37007 Salamanca, Spain; (C.P.-C.); (A.E.R.-V.); (M.Q.-Á.)
- Instituto de Investigación Biomédica (IBSAL), 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - Miguel Quijada-Álamo
- Cancer Research Center (IBMCC) CSIC-University of Salamanca, 37007 Salamanca, Spain; (C.P.-C.); (A.E.R.-V.); (M.Q.-Á.)
- Instituto de Investigación Biomédica (IBSAL), 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - José-Ángel Hernández-Rivas
- Department of Hematology, Infanta Leonor University Hospital, 28031 Madrid, Spain; (I.G.-G.-y-M.); (J.-Á.H.-R.)
- Department of Medicine, Complutense University, 28040 Madrid, Spain
| | - María Hernández-Sánchez
- Cancer Research Center (IBMCC) CSIC-University of Salamanca, 37007 Salamanca, Spain; (C.P.-C.); (A.E.R.-V.); (M.Q.-Á.)
- Instituto de Investigación Biomédica (IBSAL), 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
- Correspondence: (M.H.-S.); (J.M.H.-R.); Tel.: +34-923-294-812 (M.H.-S. & J.M.H.-R.)
| | - Jesús María Hernández-Rivas
- Cancer Research Center (IBMCC) CSIC-University of Salamanca, 37007 Salamanca, Spain; (C.P.-C.); (A.E.R.-V.); (M.Q.-Á.)
- Instituto de Investigación Biomédica (IBSAL), 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
- Department of Medicine, University of Salamanca, 37008 Salamanca, Spain
- Correspondence: (M.H.-S.); (J.M.H.-R.); Tel.: +34-923-294-812 (M.H.-S. & J.M.H.-R.)
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193
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Brieghel C, Aarup K, Torp MH, Andersen MA, Yde CW, Tian X, Wiestner A, Ahn IE, Niemann CU. Clinical Outcomes in Patients with Multi-Hit TP53 Chronic Lymphocytic Leukemia Treated with Ibrutinib. Clin Cancer Res 2021; 27:4531-4538. [PMID: 33963002 DOI: 10.1158/1078-0432.ccr-20-4890] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/23/2021] [Accepted: 05/04/2021] [Indexed: 01/21/2023]
Abstract
PURPOSE TP53 aberration (TP53 mutation and/or 17p deletion) is the most important predictive marker in chronic lymphocytic leukemia (CLL). Although each TP53 aberration is considered an equal prognosticator, the prognostic value of carrying isolated (single-hit) or multiple (multi-hit) TP53 aberrations remains unclear, particularly in the context of targeted agents. PATIENTS AND METHODS We performed deep sequencing of TP53 using baseline samples collected from 51 TP53 aberrant patients treated with ibrutinib in a phase II study (NCT01500733). RESULTS We identified TP53 mutations in 43 patients (84%) and del(17p) in 47 (92%); 9 and 42 patients carried single-hit and multi-hit TP53, respectively. The multi-hit TP53 subgroup was enriched with younger patients who had prior treatments and unmutated immunoglobulin heavy-chain variable region gene status. We observed significantly shorter overall survival, progression-free survival (PFS), and time-to-progression (TTP) in patients with multi-hit TP53 compared with those with single-hit TP53. Clinical outcomes were similar in patient subgroups stratified by 2 or >2 TP53 aberrations. In multivariable analyses, multi-hit TP53 CLL was independently associated with inferior PFS and TTP. In sensitivity analyses, excluding mutations below 1% VAF demonstrated similar outcome. Results were validated in an independent population-based cohort of 112 patients with CLL treated with ibrutinib. CONCLUSIONS In this study, single-hit TP53 defines a distinct subgroup of patients with an excellent long-term response to single-agent ibrutinib, whereas multi-hit TP53 is independently associated with shorter PFS. These results warrant further investigations on prognostication and management of multi-hit TP53 CLL.See related commentary by Bomben et al., p. 4462.
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Affiliation(s)
- Christian Brieghel
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Kathrine Aarup
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mathias H Torp
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Michael A Andersen
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Christina W Yde
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Xin Tian
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Adrian Wiestner
- Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Inhye E Ahn
- Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Carsten U Niemann
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
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194
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Skórka K, Chojnacki M, Masternak M, Karczmarczyk A, Subocz E, Wawrzyniak E, Giannopoulos K. The Predominant Prognostic Significance of NOTCH1 Mutation Defined by Emulsion PCR in Chronic Lymphocytic Leukemia. Cancer Manag Res 2021; 13:3663-3674. [PMID: 33986614 PMCID: PMC8110254 DOI: 10.2147/cmar.s302245] [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: 01/15/2021] [Accepted: 03/22/2021] [Indexed: 11/24/2022] Open
Abstract
Purpose NOTCH1mut represents a new prognostic marker in chronic lymphocytic leukaemia (CLL). The low sensitivity of the current methods may increase the risk of false-negative results, particularly in patients with low NOTCH1mut allelic burden. This study compared two methods of the NOTCH1mut assessment including droplet digital PCR (ddPCR) and amplification-refractory mutation system PCR (ARMS-PCR) untreated CLL patients. Patients and Methods This study included 319 untreated CLL patients. Two PCR-based methods; ddPCR and ARMS-PCR were performed to assess the mutational status of NOTCH1. The Mann–Whitney, Fisher’s exact test, Kruskal–Wallis, Kaplan–Meier, Log rank tests and multivariate Cox proportional hazard regression model were used to analyze collected data. Results We proved that ddPCR increased the detectability of the NOTCH1mut compared to ARMS-PCR in CLL (18.55% vs 6%). We showed a shorter time to first treatment (TTFT) in the NOTCH1mut group of patients compared to the NOTCH1wt defined by ddPCR (1.5 vs 33 months, p=0.01). The TTFT survival curves analysis in subgroups divided according to the mutational status of IGHV and NOTCH1 assessed by ddPCR discriminated group with the best prognosis: IGHVmutNOTCH1wt. Multivariate analysis revealed that the mutational status of IGHV represented an independent prognostic factor for TTFT, while NOTCH1mut determined by ddPCR constituted as a dependent prognostic factor for TTFT. Conclusion The selection of the precise method of NOTCH1mut detection as ddPCR might significantly improve prognostic stratification of CLL patient. Assessment of IGHV might be relevant to more accurate discrimination of prognostic groups of CLL patients, especially in harboring NOTCH1mut irrespective of the quantity of allelic burden.
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Affiliation(s)
- Katarzyna Skórka
- Department of Experimental Hematooncology, Medical University of Lublin, Lublin, Poland
| | - Michał Chojnacki
- Department of Experimental Hematooncology, Medical University of Lublin, Lublin, Poland
| | - Marta Masternak
- Department of Experimental Hematooncology, Medical University of Lublin, Lublin, Poland
| | | | - Edyta Subocz
- Department of Internal Medicine and Hematology, Military Institute of Medicine, Warsaw, Poland
| | - Ewa Wawrzyniak
- Department of Hematology, Medical University of Lodz, Lodz, Poland
| | - Krzysztof Giannopoulos
- Department of Experimental Hematooncology, Medical University of Lublin, Lublin, Poland.,Department of Hematology, St. John's Cancer Centre, Lublin, Poland
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195
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Ebrahimi S, Nonacs P. Genetic diversity through social heterosis can increase virulence in RNA viral infections and cancer progression. ROYAL SOCIETY OPEN SCIENCE 2021; 8:202219. [PMID: 34035948 PMCID: PMC8097216 DOI: 10.1098/rsos.202219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 04/12/2021] [Indexed: 05/04/2023]
Abstract
In viral infections and cancer tumours, negative health outcomes often correlate with increasing genetic diversity. Possible evolutionary processes for such relationships include mutant lineages escaping host control or diversity, per se, creating too many immune system targets. Another possibility is social heterosis where mutations and replicative errors create clonal lineages varying in intrinsic capability for successful dispersal; improved environmental buffering; resource extraction or effective defence against immune systems. Rather than these capabilities existing in one genome, social heterosis proposes complementary synergies occur across lineages in close proximity. Diverse groups overcome host defences as interacting 'social genomes' with group genetic tool kits exceeding limited individual plasticity. To assess the possibility of social heterosis in viral infections and cancer progression, we conducted extensive literature searches for examples consistent with general and specific predictions from the social heterosis hypothesis. Numerous studies found supportive patterns in cancers across multiple tissues and in several families of RNA viruses. In viruses, social heterosis mechanisms probably result from long coevolutionary histories of competition between pathogen and host. Conversely, in cancers, social heterosis is a by-product of recent mutations. Investigating how social genomes arise and function in viral quasi-species swarms and cancer tumours may lead to new therapeutic approaches.
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Affiliation(s)
- Saba Ebrahimi
- Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA 90024, USA
| | - Peter Nonacs
- Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA 90024, USA
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196
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BCOR gene alterations in hematological diseases. Blood 2021; 138:2455-2468. [PMID: 33945606 DOI: 10.1182/blood.2021010958] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/14/2021] [Indexed: 11/20/2022] Open
Abstract
The BCL6 co-repressor (BCOR) is a transcription factor involved in the control of embryogenesis, mesenchymal stem cells function, hematopoiesis and lymphoid development. Recurrent somatic clonal mutations of the BCOR gene and its homologue BCORL1 have been detected in several hematological malignancies and aplastic anemia. They are scattered across the whole gene length and mostly represent frameshifts (deletions, insertions), nonsense and missence mutations. These disruptive events lead to the loss of full-length BCOR protein and to the lack or low expression of a truncated form of the protein, both consistent with the tumor suppressor role of BCOR. BCOR and BCORL1 mutations are similar to those causing two rare X-linked diseases: the oculo-facio-cardio-dental (OFCD) and the Shukla-Vernon syndromes, respectively. Here, we focus on the structure and function of normal BCOR and BCORL1 in normal hematopoietic and lymphoid tissues and review the frequency and clinical significance of the mutations of these genes in malignant and non-malignant hematological diseases. Moreover, we discuss the importance of mouse models to better understand the role of Bcor loss, alone and combined with alterations of other genes (e.g. Dnmt3a and Tet2), in promoting hematological malignancies and in providing a useful platform for the development of new targeted therapies.
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197
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Low-burden TP53 mutations in CLL: Clinical impact and clonal evolution within the context of different treatment options. Blood 2021; 138:2670-2685. [PMID: 33945616 PMCID: PMC8703362 DOI: 10.1182/blood.2020009530] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 04/19/2021] [Indexed: 11/20/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) patients with TP53 mutations experience chemo-refractory disease and are therefore indicated for targeted therapy. However, the significance of low-burden TP53 mutations with <10% variant allele frequency (VAF) remains a matter of debate. Here we describe clonal evolution scenarios of low-burden TP53 mutations and analyzed their clinical impact in a "real-world" CLL cohort. TP53 status was assessed by targeted NGS in 511 patients entering first-line treatment with chemo/immunotherapy and 159 relapsed patients treated with targeted agents. Within the pre-therapy cohort, 16% of patients carried low-burden TP53 mutations (0.1-10% VAF). While their presence did not significantly shorten event-free survival after first-line therapy, it affected overall survival (OS). For a subgroup with TP53 mutations of 1-10% VAF, the impact on OS was only observed in patients with unmutated IGHV that had not received targeted therapy, as patients benefited from switching to targeted agents regardless of initial TP53 mutational status. Analysis of the clonal evolution of low-burden TP53 mutations showed that the highest expansion rates were associated with FCR in both first and second-line treatment (median VAF increase 14.8x and 11.8x, respectively) in contrast to treatment with less intense chemo/immunotherapy regimens (1.6x) and without treatment (0.8x). In the relapsed cohort, 33% of patients carried low-burden TP53 mutations, which did not expand significantly upon targeted treatment (median VAF change 1x). Sporadic cases of TP53-mut clonal shifts were connected with the development of resistance-associated mutations. Altogether, our data support the incorporation of low-burden TP53 variants in clinical decision-making.
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198
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Abstract
Haematopoietic stem and progenitor cells (HSPCs) are defined as unspecialized cells that give rise to more differentiated cells. In a similar way, leukaemic stem and progenitor cells (LSPCs) are defined as unspecialized leukaemic cells, which can give rise to more differentiated cells. Leukaemic cells carry leukaemic mutations/variants and have clear differentiation abnormalities. Pre-leukaemic HSPCs (PreL-HSPCs) carry pre-leukaemic mutations/variants (pLMs) and are capable of producing mature functional cells, which will carry the same variants. Under the roof of LSPCs, one can find a broad range of cell types genetic and disease phenotypes. Present-day knowledge suggests that this phenotypic heterogeneity is the result of interactions between the cell of origin, the genetic background and the microenvironment background. The combination of these attributes will define the LSPC phenotype, frequency, differentiation capacity and evolutionary trajectory. Importantly, as LSPCs are leukaemia-initiating cells that sustain clinical remission and are the source of relapse, an improved understanding of LSPCs phenotype would offer better clinical opportunities for the treatment and hopefully prevention of human leukaemia. The current review will focus on LSPCs attributes in the context of human haematologic malignancies.
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Affiliation(s)
- L I Shlush
- From the, Liran Shlush's Lab - Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - T Feldman
- From the, Liran Shlush's Lab - Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
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199
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Spinello A, Borišek J, Pavlin M, Janoš P, Magistrato A. Computing Metal-Binding Proteins for Therapeutic Benefit. ChemMedChem 2021; 16:2034-2049. [PMID: 33740297 DOI: 10.1002/cmdc.202100109] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Indexed: 01/18/2023]
Abstract
Over one third of biomolecules rely on metal ions to exert their cellular functions. Metal ions can play a structural role by stabilizing the structure of biomolecules, a functional role by promoting a wide variety of biochemical reactions, and a regulatory role by acting as messengers upon binding to proteins regulating cellular metal-homeostasis. These diverse roles in biology ascribe critical implications to metal-binding proteins in the onset of many diseases. Hence, it is of utmost importance to exhaustively unlock the different mechanistic facets of metal-binding proteins and to harness this knowledge to rationally devise novel therapeutic strategies to prevent or cure pathological states associated with metal-dependent cellular dysfunctions. In this compendium, we illustrate how the use of a computational arsenal based on docking, classical, and quantum-classical molecular dynamics simulations can contribute to extricate the minutiae of the catalytic, transport, and inhibition mechanisms of metal-binding proteins at the atomic level. This knowledge represents a fertile ground and an essential prerequisite for selectively targeting metal-binding proteins with small-molecule inhibitors aiming to (i) abrogate deregulated metal-dependent (mis)functions or (ii) leverage metal-dyshomeostasis to selectively trigger harmful cells death.
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Affiliation(s)
- Angelo Spinello
- National Research Council of Italy (CNR)-, Institute of Materials (IOM) c/o International School for Advanced Studies (SISSA), via Bonomea 265, 34136, Trieste, Italy
| | - Jure Borišek
- National Institute of Chemistry Institution Hajdrihova ulica 19, 1000, Ljubljana, Slovenia
| | - Matic Pavlin
- Laboratory of Microsensor Structures and Electronics Faculty of Electrical Engineering, University of Ljubljana Tržaška cesta 25, 1000, Ljubljana, Slovenia
| | - Pavel Janoš
- National Research Council of Italy (CNR)-, Institute of Materials (IOM) c/o International School for Advanced Studies (SISSA), via Bonomea 265, 34136, Trieste, Italy
| | - Alessandra Magistrato
- National Research Council of Italy (CNR)-, Institute of Materials (IOM) c/o International School for Advanced Studies (SISSA), via Bonomea 265, 34136, Trieste, Italy
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Ren C, Wu C, Wang N, Lian C, Yang C. Clonal Architectures Predict Clinical Outcome in Gastric Adenocarcinoma Based on Genomic Variation, Tumor Evolution, and Heterogeneity. Cell Transplant 2021; 30:963689721989606. [PMID: 33900127 PMCID: PMC8085378 DOI: 10.1177/0963689721989606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Stomach adenocarcinoma (STAD) is a highly heterogeneous disease. Due to the lack of effective molecular markers and personalized treatment, the prognosis of gastric cancer patients is still very poor. The ABSOLUTE algorithm and cancer cell fraction were used to evaluate the clonal and subclonal status of 349 TCGA (The Cancer Genome Cancer Atlas)-STAD patients. Non-negative matrix factorization was used to identify the mutation characteristics of the samples. Univariate Cox regression analysis was used to determine the relationship between clonal/subclonal events and prognosis, and the Spearman correlation was used to evaluate the relationship of clonal/subclonal events to tumor mutation burden (TMB) and neoantigens. The evolution pattern of STAD demonstrated great tumor heterogeneity. TP53, USH2A, and GLI3 appeared earliest in STAD and may drive STAD. CTNNB1, LRP1B, and ERBB4 appeared the latest in STAD, and may be related to STAD’s progress. Univariate Cox regression analysis identified four early genes, eight intermediate genes, and seven late genes significantly associated with overall survival. The number of subclonal events in the T stage was significantly different. The N stage, gender, and histological type were significantly different for clonal events, and there was a significant correlation between clonal/subclonal events and TMB/neoantigens. Our results highlight the importance of systematic evaluation of evolutionary models in the clinical management of STAD and personalized gastric cancer treatment.
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Affiliation(s)
- Chenxia Ren
- Central Laboratory, 74652Changzhi Medical College, Shanxi Province, China
| | - Cuiling Wu
- Faculty of Basic Medicine, 74652Changzhi Medical College, Shanxi Province, China
| | - Niuniu Wang
- Central Laboratory, 74652Changzhi Medical College, Shanxi Province, China
| | - Changhong Lian
- Department of General Surgery, 117875Heping Hospital Affiliated to Changzhi Medical College, Shanxi Province, China
| | - Changqing Yang
- Department of Gastroenterology, 117875Heping Hospital Affiliated to Changzhi Medical College, Shanxi Province, China
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