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Kwaśnik P, Zaleska J, Link-Lenczowska D, Zawada M, Wysogląd H, Ochrem B, Bober G, Wasilewska E, Hus I, Szarejko M, Prejzner W, Grzybowska-Izydorczyk O, Klonowska-Szymczyk A, Mędraś E, Kiełbus M, Sacha T, Giannopoulos K. High Level of CD8 +PD-1 + Cells in Patients with Chronic Myeloid Leukemia Who Experienced Loss of MMR after Imatinib Discontinuation. Cells 2024; 13:723. [PMID: 38667336 PMCID: PMC11048908 DOI: 10.3390/cells13080723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/12/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
Treatment-free remission (TFR) is achieved in approximately half of chronic myeloid leukemia (CML) patients treated with tyrosine kinase inhibitors. The mechanisms responsible for TFR maintenance remain elusive. This study aimed to identify immune markers responsible for the control of residual CML cells early in the TFR (at 3 months), which may be the key to achieving long-term TFR and relapse-free survival (RFS) after discontinuation of imatinib. Our study included 63 CML patients after imatinib discontinuation, in whom comprehensive analysis of changes in the immune system was performed by flow cytometry, and changes in the BCR::ABL1 transcript levels were assessed by RQ-PCR and ddPCR. We demonstrated a significant increase in the percentage of CD8+PD-1+ cells in patients losing TFR. The level of CD8+PD-1+ cells is inversely related to the duration of treatment and incidence of deep molecular response (DMR) before discontinuation. Analysis of the ROC curve showed that the percentage of CD8+PD-1+ cells may be a significant factor in early molecular recurrence. Interestingly, at 3 months of TFR, patients with the e13a2 transcript had a significantly higher proportion of the PD-1-expressing immune cells compared to patients with the e14a2. Our results suggest the important involvement of CD8+PD-1+ cells in the success of TFR and may help in identifying a group of patients who could successfully discontinue imatinib.
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MESH Headings
- Humans
- Imatinib Mesylate/therapeutic use
- Imatinib Mesylate/pharmacology
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/pathology
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/drug effects
- Female
- Male
- Middle Aged
- Adult
- Programmed Cell Death 1 Receptor/metabolism
- Programmed Cell Death 1 Receptor/antagonists & inhibitors
- Aged
- Fusion Proteins, bcr-abl/genetics
- Fusion Proteins, bcr-abl/metabolism
- Young Adult
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Affiliation(s)
- Paulina Kwaśnik
- Department of Experimental Hematooncology, Medical University of Lublin, 20-093 Lublin, Poland; (P.K.)
| | - Joanna Zaleska
- Department of Experimental Hematooncology, Medical University of Lublin, 20-093 Lublin, Poland; (P.K.)
| | - Dorota Link-Lenczowska
- Department of Hematology Diagnostics, Jagiellonian University Hospital in Kraków, 30-688 Kraków, Poland
| | - Magdalena Zawada
- Department of Hematology Diagnostics, Jagiellonian University Hospital in Kraków, 30-688 Kraków, Poland
| | - Hubert Wysogląd
- Department of Hematology, Jagiellonian University Hospital in Kraków, 30-688 Kraków, Poland
| | - Bogdan Ochrem
- Department of Hematology, Jagiellonian University Hospital in Kraków, 30-688 Kraków, Poland
| | - Grażyna Bober
- Department of Hematooncology and Bone Marrow Transplantation, School of Medicine in Katowice, Medical University of Silesia, 40-032 Katowice, Poland
| | - Ewa Wasilewska
- Department of Hematology, Medical University of Białystok, 15-276 Białystok, Poland
| | - Iwona Hus
- Department of Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, Poland
- Department of Clinical Transplantology, Medical University of Lublin, 20-093 Lublin, Poland
| | - Monika Szarejko
- Department of Hematology and Transplantology, Medical University of Gdańsk, 80-214 Gdańsk, Poland
| | - Witold Prejzner
- Department of Hematology and Transplantology, Medical University of Gdańsk, 80-214 Gdańsk, Poland
| | | | | | - Ewa Mędraś
- Department of Hematology, Neoplastic Blood Disorders and Bone Marrow Transplantation in Wrocław, 50-367 Wrocław, Poland
| | - Michał Kiełbus
- Department of Experimental Hematooncology, Medical University of Lublin, 20-093 Lublin, Poland; (P.K.)
| | - Tomasz Sacha
- Chair of Hematology, Jagiellonian University Medical College in Kraków, 31-501 Kraków, Poland
| | - Krzysztof Giannopoulos
- Department of Experimental Hematooncology, Medical University of Lublin, 20-093 Lublin, Poland; (P.K.)
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Baldini S, Khattak A, Capogrosso P, Antonini G, Dehò F, Schifano F, Schifano N. The Possible Role of Prescribing Medications, Including Central Nervous System Drugs, in Contributing to Male-Factor Infertility (MFI): Assessment of the Food and Drug Administration (FDA) Pharmacovigilance Database. Brain Sci 2023; 13:1652. [PMID: 38137101 PMCID: PMC10741514 DOI: 10.3390/brainsci13121652] [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: 09/26/2023] [Revised: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND A wide range of medications may have a possible role in the development of male-factor infertility (MFI), including various antineoplastic agents, testosterone/anabolic steroids, immunosuppressive drugs/immunomodulators, glucocorticosteroids, non-steroidal anti-inflammatory drugs, opiates, antiandrogenic drugs/5-alpha-reductase inhibitors, various antibiotics, antidepressants, antipsychotics, antiepileptic agents and others. We aimed at investigating this issue from a pharmacovigilance-based perspective. METHODS The Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database was queried to identify the drugs associated the most with MFI individual reports. Only those drugs being associated with more than 10 MFI reports were considered for the disproportionality analysis. Proportional Reporting Ratios (PRRs) and their confidence intervals were computed for all the drugs identified in this way in January 2023. Secondary, 'unmasking', dataset analyses were carried out as well. RESULTS Out of the whole database, 955 MFI reports were identified, 408 (42.7%) of which were associated with 20 medications, which had more than 10 reports each. Within this group, finasteride, testosterone, valproate, diethylstilbestrol, mechloretamine, verapamil, lovastatin and nifedipine showed significant levels of actual disproportionate reporting. Out of these, and before unmasking, the highest PRR values were identified for finasteride, diethylstilbestrol and mechloretamine, respectively, with values of 16.0 (12.7-20.3), 14.3 (9.1-22.4) and 58.7 (36.3-95.9). CONCLUSIONS A variety of several medications, a number of which were already supposed to be potentially linked with MFI based on the existing evidence, were associated with significant PRR levels for MFI in this analysis. A number of agents which were previously hypothesized to be associated with MFI were not represented in this analysis, suggesting that drug-induced MFI is likely under-reported to regulatory agencies. Reproductive medicine specialists should put more effort into the detection and reporting of these adverse drug reactions.
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Affiliation(s)
- Sara Baldini
- ASST Sette Laghi—Circolo e Fondazione Macchi Hospital, 21100 Varese, Italy; (S.B.); (P.C.); (G.A.); (F.D.)
- Division of Urology, School of Medicine, University of Insubria, 21100 Varese, Italy
| | - Ahmed Khattak
- King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK;
| | - Paolo Capogrosso
- ASST Sette Laghi—Circolo e Fondazione Macchi Hospital, 21100 Varese, Italy; (S.B.); (P.C.); (G.A.); (F.D.)
| | - Gabriele Antonini
- ASST Sette Laghi—Circolo e Fondazione Macchi Hospital, 21100 Varese, Italy; (S.B.); (P.C.); (G.A.); (F.D.)
- Antonini Urology, 00185 Rome, Italy
| | - Federico Dehò
- ASST Sette Laghi—Circolo e Fondazione Macchi Hospital, 21100 Varese, Italy; (S.B.); (P.C.); (G.A.); (F.D.)
- Division of Urology, School of Medicine, University of Insubria, 21100 Varese, Italy
| | - Fabrizio Schifano
- Psychopharmacology, Drug Misuse and Novel Psychoactive Substances Research Unit, School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK;
| | - Nicolò Schifano
- ASST Sette Laghi—Circolo e Fondazione Macchi Hospital, 21100 Varese, Italy; (S.B.); (P.C.); (G.A.); (F.D.)
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Xue C, Zhou Q, Zhang P, Zhang B, Sun Q, Li S, Deng J, Liu X, Zhou J. MRI histogram analysis of tumor-infiltrating CD8+ T cell levels in patients with glioblastoma. Neuroimage Clin 2023; 37:103353. [PMID: 36812768 PMCID: PMC9958466 DOI: 10.1016/j.nicl.2023.103353] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 02/05/2023] [Accepted: 02/14/2023] [Indexed: 02/19/2023]
Abstract
OBJECTIVE To investigate the utility of preoperative magnetic resonance imaging histogram analysis for evaluating tumor-infiltrating CD8+ T cells in patients with glioblastoma (GBM). METHODS We retrospectively analyzed the pathological and imaging data of 61 patients with GBM confirmed by surgery and pathology. Moreover, the levels of tumor-infiltrating CD8+ T cells in tumor tissue samples obtained from the patients were quantified through immunohistochemical staining and evaluated with respect to overall survival. The patients were divided into the high and low CD8 expression groups. Preoperative T1-weighted contrast-enhanced (T1C) histogram parameters of patients with GBM were extracted using Firevoxel software. We investigated the correlation between the histogram feature parameters and CD8+ T cells. We performed statistical analyses of the T1C histogram parameters in both groups and identified characteristic parameters with significant between-group differences. Additionally, we performed a receiver operating characteristic curve (ROC) analysis to determine the predictive utility of these parameters. RESULTS The levels of tumor-infiltrating CD8+ T cells were positively associated with overall survival in patients with GBM (P = 0.0156). Among the T1C histogram features, the mean, 5th, 10th, 25th, and 50th percentiles were negatively correlated with the levels of CD8+ T cells. Moreover, the coefficient of variation (CV) was positively correlated with the levels of CD8+ T cells (all P < 0.05). There was a significant between-group difference in the CV, 1st, 5th, 10th, 25th, and 50th percentiles (all p < 0.05). The ROC curve analysis revealed that the CV had the highest AUC value (0.783; 95% confidence interval: 0.658-0.878), with sensitivity and specificity values of 0.784 and 0.750, respectively, for distinguishing between the groups. CONCLUSIONS The preoperative T1C histogram have additional value for the levels of tumor-infiltrating CD8+ T cells in patients with GBM.
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Affiliation(s)
- Caiqiang Xue
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Qing Zhou
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Peng Zhang
- Department of Pathology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China
| | - Bin Zhang
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Qiu Sun
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Shenglin Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Juan Deng
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Xianwang Liu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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PD-1 expression on mouse intratumoral NK cells and its effects on NK cell phenotype. iScience 2022; 25:105137. [PMID: 36185379 PMCID: PMC9523278 DOI: 10.1016/j.isci.2022.105137] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 07/20/2022] [Accepted: 09/11/2022] [Indexed: 01/31/2023] Open
Abstract
Although PD-1 was shown to be a hallmark of T cells exhaustion, controversial studies have been reported on the role of PD-1 on NK cells. Here, we found by flow cytometry and single cell RNA sequencing analysis that PD-1 can be expressed on MHC class I-deficient tumor-infiltrating NK cells in vivo. We also demonstrate distinct alterations in the phenotype of PD-1-deficient NK cells and a more mature phenotype which might reduce their capacity to migrate and kill in vivo. Tumor-infiltrating NK cells that express PD-1 were highly associated with the expression of CXCR6. Furthermore, our results demonstrate that PD-L1 molecules in membranes of PD-1-deficient NK cells migrate faster than in NK cells from wild-type mice, suggesting that PD-1 and PD-L1 form cis interactions with each other on NK cells. These data demonstrate that there may be a role for the PD-1/PD-L1 axis in tumor-infiltrating NK cells in vivo. NK cells from PD-1 deficient mice have a more mature phenotype Elimination of MHC-I-deficient cells is impaired in PD-1−/− mice PD-1 expression on NK cells is associated with surface expression of CXCR6 PD-1/PD-L1 interactions on NK cells may occur in cis
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Bai R, Cui J. Burgeoning Exploration of the Role of Natural Killer Cells in Anti-PD-1/PD-L1 Therapy. Front Immunol 2022; 13:886931. [PMID: 35634343 PMCID: PMC9133458 DOI: 10.3389/fimmu.2022.886931] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 04/19/2022] [Indexed: 11/21/2022] Open
Abstract
Antibodies targeting programmed death receptor-1 (PD-1)/programmed death ligand-1 (PD-L1) have been considered breakthrough therapies for a variety of solid and hematological malignancies. Although cytotoxic T cells play an important antitumor role during checkpoint blockade, they still show a potential killing effect on tumor types showing loss of/low major histocompatibility complex (MHC) expression and/or low neoantigen load; this knowledge has shifted the focus of researchers toward mechanisms of action other than T cell-driven immune responses. Evidence suggests that the blockade of the PD-1/PD-L1 axis may also improve natural killer (NK)-cell function and activity through direct or indirect mechanisms, which enhances antitumor cytotoxic effects; although important, this topic has been neglected in previous studies. Recently, some studies have reported evidence of PD-1 and PD-L1 expression in human NK cells, performed exploration of the intrinsic mechanism by which PD-1/PD-L1 blockade enhances NK-cell responses, and made some progress. This article summarizes the recent advances regarding the expression of PD-1 and PD-L1 molecules on the surface of NK cells as well as the interaction between anti-PD-1/PD-L1 drugs and NK cells and associated molecular mechanisms in the tumor microenvironment.
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Affiliation(s)
| | - Jiuwei Cui
- *Correspondence: Jiuwei Cui, ; orcid.org/0000-0001-6496-7550
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Tong H, Sun J, Fang J, Zhang M, Liu H, Xia R, Zhou W, Liu K, Chen X. A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts Tumor Immune Profiles in Non-Small Cell Lung Cancer: A Retrospective Multicohort Study. Front Immunol 2022; 13:859323. [PMID: 35572597 PMCID: PMC9105942 DOI: 10.3389/fimmu.2022.859323] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/30/2022] [Indexed: 12/05/2022] Open
Abstract
Background The tumor immune microenvironment (TIME) phenotypes have been reported to mainly impact the efficacy of immunotherapy. Given the increasing use of immunotherapy in cancers, knowing an individual's TIME phenotypes could be helpful in screening patients who are more likely to respond to immunotherapy. Our study intended to establish, validate, and apply a machine learning model to predict TIME profiles in non-small cell lung cancer (NSCLC) by using 18F-FDG PET/CT radiomics and clinical characteristics. Methods The RNA-seq data of 1145 NSCLC patients from The Cancer Genome Atlas (TCGA) cohort were analyzed. Then, 221 NSCLC patients from Daping Hospital (DPH) cohort received18F-FDG PET/CT scans before treatment and CD8 expression of the tumor samples were tested. The Artificial Intelligence Kit software was used to extract radiomic features of PET/CT images and develop a radiomics signature. The models were established by radiomics, clinical features, and radiomics-clinical combination, respectively, the performance of which was calculated by receiver operating curves (ROCs) and compared by DeLong test. Moreover, based on radiomics score (Rad-score) and clinical features, a nomogram was established. Finally, we applied the combined model to evaluate TIME phenotypes of NSCLC patients in The Cancer Imaging Archive (TCIA) cohort (n = 39). Results TCGA data showed CD8 expression could represent the TIME profiles in NSCLC. In DPH cohort, PET/CT radiomics model outperformed CT model (AUC: 0.907 vs. 0.861, P = 0.0314) to predict CD8 expression. Further, PET/CT radiomics-clinical combined model (AUC = 0.932) outperformed PET/CT radiomics model (AUC = 0.907, P = 0.0326) or clinical model (AUC = 0.868, P = 0.0036) to predict CD8 expression. In the TCIA cohort, the predicted CD8-high group had significantly higher immune scores and more activated immune pathways than the predicted CD8-low group (P = 0.0421). Conclusion Our study indicates that 18F-FDG PET/CT radiomics-clinical combined model could be a clinically practical method to non-invasively detect the tumor immune status in NSCLCs.
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Affiliation(s)
- Haipeng Tong
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Jinju Sun
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Jingqin Fang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China
- Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, China
| | - Mi Zhang
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Huan Liu
- Advanced Application Team, GE Healthcare, Shanghai, China
| | - Renxiang Xia
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Weicheng Zhou
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Kaijun Liu
- Department of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
- Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, China
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Czegle I, Gray AL, Wang M, Liu Y, Wang J, Wappler-Guzzetta EA. Mitochondria and Their Relationship with Common Genetic Abnormalities in Hematologic Malignancies. Life (Basel) 2021; 11:1351. [PMID: 34947882 PMCID: PMC8707674 DOI: 10.3390/life11121351] [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: 11/01/2021] [Revised: 11/29/2021] [Accepted: 11/29/2021] [Indexed: 11/16/2022] Open
Abstract
Hematologic malignancies are known to be associated with numerous cytogenetic and molecular genetic changes. In addition to morphology, immunophenotype, cytochemistry and clinical characteristics, these genetic alterations are typically required to diagnose myeloid, lymphoid, and plasma cell neoplasms. According to the current World Health Organization (WHO) Classification of Tumors of Hematopoietic and Lymphoid Tissues, numerous genetic changes are highlighted, often defining a distinct subtype of a disease, or providing prognostic information. This review highlights how these molecular changes can alter mitochondrial bioenergetics, cell death pathways, mitochondrial dynamics and potentially be related to mitochondrial genetic changes. A better understanding of these processes emphasizes potential novel therapies.
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Affiliation(s)
- Ibolya Czegle
- Department of Internal Medicine and Haematology, Semmelweis University, H-1085 Budapest, Hungary;
| | - Austin L. Gray
- Department of Pathology and Laboratory Medicine, Loma Linda University Health, Loma Linda, CA 92354, USA; (A.L.G.); (Y.L.); (J.W.)
| | - Minjing Wang
- Independent Researcher, Diamond Bar, CA 91765, USA;
| | - Yan Liu
- Department of Pathology and Laboratory Medicine, Loma Linda University Health, Loma Linda, CA 92354, USA; (A.L.G.); (Y.L.); (J.W.)
| | - Jun Wang
- Department of Pathology and Laboratory Medicine, Loma Linda University Health, Loma Linda, CA 92354, USA; (A.L.G.); (Y.L.); (J.W.)
| | - Edina A. Wappler-Guzzetta
- Department of Pathology and Laboratory Medicine, Loma Linda University Health, Loma Linda, CA 92354, USA; (A.L.G.); (Y.L.); (J.W.)
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Pei F, Yu Y, Dong B, Guan H, Dong X, Zhao F. Efficacies and Toxicities of Seven Chemotherapy Regimens for Advanced Hodgkin Lymphoma. Front Pharmacol 2021; 12:694545. [PMID: 34867316 PMCID: PMC8635017 DOI: 10.3389/fphar.2021.694545] [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: 07/12/2021] [Accepted: 10/11/2021] [Indexed: 11/13/2022] Open
Abstract
Background/Aims: Hodgkin Lymphoma (HL) has become one of the most treatable cancers, with more than 80% patients in the advanced stage being cured through improvement of therapeutic regimens. Nevertheless, some treatments were accompanied with toxicities. Methods: In the current study, a network meta-analysis (NMA) was conducted to compare the efficacies and toxicities of different chemotherapy regimens for advanced Hodgkin lymphoma (HL). We reviewed PubMed and EMBASE databases from inception to May 2018, and identified randomized controlled trials (RCTs) in which advanced HL patients received chemotherapy. Fourteen eligible RCTs published between 1992 and 2017 were enrolled in this NMA. These studies included a total of 5,964 HL patients, and assessed at least one of seven different chemotherapy regimens. Direct and indirect evidence was combined to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs), and to establish a surface under the cumulative ranking (SUCRA) curve. Results: A cluster analysis was performed to evaluate efficacies and toxicities of different regimens. The COPP + ABVD (cyclophosphamide + vincristine + procarbazine + prednisone + doxorubicin + bleomycin + vinblastine + dacarbazine) regimen had the highest SUCRA partial response and overall remission rate values, while the ABVD regimen resulted in the lowest incidences of anemia, thrombocytopenia, neutropenia, and leucopenia. Conclusion: Cluster analysis revealed that COPP + ABVD had the best efficacy against advanced HL among the seven regimens, and ABVD had the lowest toxicity.
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Affiliation(s)
- Fajun Pei
- Department of Urology Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yang Yu
- School of Graduate Studies, Shandong Academy of Medical Sciences, Shandong First Medical University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Bin Dong
- Department of Medical Imaging, The First People's Hospital of Pingdu, Qingdao, China
| | - Hui Guan
- Department of Radiation Oncology, The Fourth People's Hospital of Jinan, Jinan, China
| | - Xinzhe Dong
- Department of Radiation Oncology, Qilu Hospital of Shandong University, Jinan, China
| | - Fen Zhao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.,Shandong University, Jinan, China
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Macklin-Doherty A, Jones M, Coulson P, Bruce C, Chau I, Alexander E, Iyengar S, Taj M, Cunningham D, Swerdlow A. Risk of thyroid disorders in adult and childhood Hodgkin lymphoma survivors 40 years after treatment. Leuk Lymphoma 2021; 63:562-572. [PMID: 34738860 DOI: 10.1080/10428194.2021.1999445] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Thyroid abnormalities are well reported following childhood treatment for Hodgkin Lymphoma (HL). Limited information exists for adult patients and after modern treatments. We analyzed risks of thyroid disorders in 237 female participants treated at the Royal Marsden Hospital 1970-2015. Multivariable analyses of risk according to treatment and time-related factors, survival analyses, and Cox regression modeling were undertaken. Overall, 33.8% of patients reported thyroid disorders (hypothyroidism 30.0% and thyroid nodules 6.8%). Cumulative prevalence was 42.9% by 40 years follow-up. Risks were greatest after supradiaphragmatic radiotherapy (RR = 5.0, p < 0.001), and increasing dose (RR = 1.03/Gy, p < 0.001). There was no association with a chemotherapy agent. Risks of thyroid disease were as raised following adult as childhood treatment. There was no trend in risk by decade of supradiaphragmatic radiotherapy treatment. Risks of thyroid disease after supradiaphragmatic radiotherapy are as great after adult as childhood treatment and persist after more recent treatment periods.
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Affiliation(s)
- Aislinn Macklin-Doherty
- The Royal Marsden and the Institute of Cancer Research NIHR Biomedical Research Centre (BRC), London, UK.,Department of Medical Oncology, Royal Marsden NHS Foundation Hospital, London, UK.,Department of Epidemiology, The Institute of Cancer Research, London, UK
| | - Michael Jones
- Department of Epidemiology, The Institute of Cancer Research, London, UK
| | - Penny Coulson
- Department of Epidemiology, The Institute of Cancer Research, London, UK
| | - Cydney Bruce
- Department of Epidemiology, The Institute of Cancer Research, London, UK
| | - Ian Chau
- The Royal Marsden and the Institute of Cancer Research NIHR Biomedical Research Centre (BRC), London, UK.,Department of Medical Oncology, Royal Marsden NHS Foundation Hospital, London, UK
| | - Emma Alexander
- Department of Clinical Oncology, Royal Marsden NHS Foundation Hospital, London, UK
| | - Sunil Iyengar
- Department of Haematology, Royal Marsden NHS Foundation Hospital, London, UK
| | - Mary Taj
- Department of Paediatrics, Royal Marsden NHS Foundation Hospital, London, UK
| | - David Cunningham
- The Royal Marsden and the Institute of Cancer Research NIHR Biomedical Research Centre (BRC), London, UK.,Department of Medical Oncology, Royal Marsden NHS Foundation Hospital, London, UK
| | - Anthony Swerdlow
- Department of Epidemiology, The Institute of Cancer Research, London, UK
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10
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Hodgins JJ, Khan ST, Park MM, Auer RC, Ardolino M. Killers 2.0: NK cell therapies at the forefront of cancer control. J Clin Invest 2020; 129:3499-3510. [PMID: 31478911 DOI: 10.1172/jci129338] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Natural killer (NK) cells are innate cytotoxic lymphocytes involved in the surveillance and elimination of cancer. As we have learned more and more about the mechanisms NK cells employ to recognize and eliminate tumor cells, and how, in turn, cancer evades NK cell responses, we have gained a clear appreciation that NK cells can be harnessed in cancer immunotherapy. Here, we review the evidence for NK cells' critical role in combating transformed and malignant cells, and how cancer immunotherapies potentiate NK cell responses for therapeutic purposes. We highlight cutting-edge immunotherapeutic strategies in preclinical and clinical development such as adoptive NK cell transfer, chimeric antigen receptor-expressing NK cells (CAR-NKs), bispecific and trispecific killer cell engagers (BiKEs and TriKEs), checkpoint blockade, and oncolytic virotherapy. Further, we describe the challenges that NK cells face (e.g., postsurgical dysfunction) that must be overcome by these therapeutic modalities to achieve cancer clearance.
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Affiliation(s)
- Jonathan J Hodgins
- Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Department of Biochemistry, Microbiology and Immunology, and
| | - Sarwat T Khan
- Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Maria M Park
- Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Department of Biochemistry, Microbiology and Immunology, and
| | - Rebecca C Auer
- Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Department of Surgery, University of Ottawa, Ottawa, Ontario, Canada
| | - Michele Ardolino
- Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Department of Biochemistry, Microbiology and Immunology, and
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11
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MaloneyHuss MA, Mauldin GE, Brown DC, Veluvolu SM, Krick EL. Efficacy and toxicity of mustargen, vincristine, procarbazine and prednisone (MOPP) for the treatment of relapsed or resistant lymphoma in cats. J Feline Med Surg 2020; 22:299-304. [PMID: 30994392 PMCID: PMC10814662 DOI: 10.1177/1098612x19841916] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES The aims of this study were to evaluate the safety of mustargen, vincristine, procarbazine and prednisone (MOPP) chemotherapy in the treatment of relapsed or refractory feline lymphoma, and to determine the overall response rate and median remission time with this protocol. METHODS The medical records of 38 cats with relapsed or refractory lymphoma treated with MOPP chemotherapy at three institutions (University of Pennsylvania, the Animal Medical Center, and VCA Western Veterinary Specialist and Emergency Centre) were examined. Information evaluated included patient signalment, feline immunodeficiency virus/feline leukemia virus status, anatomic location(s) of lymphoma, prior protocols (type and number), MOPP doses, MOPP response, remission duration, hematologic and biochemical parameters, and owner-reported adverse effects. RESULTS Overall, 70.3% of cats responded to MOPP chemotherapy. Among the responders, the median remission duration was 166 days. The most common adverse effects were neutropenia and gastrointestinal upset, which were reported in 18.4% of cats. In 55.3% of cats, no adverse effects were reported. In total, 30.8% of responders continued to respond 6 months following the initiation of MOPP, and 15.4% maintained a response 1 year after starting MOPP. CONCLUSIONS AND RELEVANCE MOPP is a safe protocol for the treatment of relapsed or refractory feline lymphoma, with a promising overall response rate and median remission time.
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12
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Kahn JM, Kelly KM, Pei Q, Bush R, Friedman DL, Keller FG, Bhatia S, Henderson TO, Schwartz CL, Castellino SM. Survival by Race and Ethnicity in Pediatric and Adolescent Patients With Hodgkin Lymphoma: A Children's Oncology Group Study. J Clin Oncol 2019; 37:3009-3017. [PMID: 31539308 PMCID: PMC6839907 DOI: 10.1200/jco.19.00812] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2019] [Indexed: 01/10/2023] Open
Abstract
PURPOSE Population-based studies of children and adolescents with Hodgkin lymphoma (HL) report a survival disadvantage in nonwhite-non-Hispanic black (NHB) and Hispanic-patients. Whether disparities persist after adjustment for clinical and treatment-related variables is unknown. We examined survival by race/ethnicity in children receiving risk-based, response-adapted, combined-modality therapy for HL in contemporary Children's Oncology Group trials. PATIENTS AND METHODS This pooled analysis used individual-level data from 1,605 patients (younger than age 1 to 21 years) enrolled in phase III trials for low-risk (AHOD0431), intermediate-risk (AHOD0031), and high-risk (AHOD0831) HL from 2002 to 2012. Event-free survival (EFS) and overall survival (OS) were compared between non-Hispanic white (NHW) and nonwhite patients. Cox proportional hazards for survival were estimated for both de novo and relapsed HL, adjusting for demographics, disease characteristics, and therapy. RESULTS At median follow up of 6.9 years, cumulative incidence of relapse was 17%. Unadjusted 5-year EFS and OS were 83% (SE, 1.2%) and 97% (SE, < 1%), respectively. Neither differed by race/ethnicity. In multivariable analyses for OS, nonwhite patients had a 1.88× higher hazard of death (95% CI, 1.1 to 3.3). Five-year postrelapse survival probabilities by race were as follows: NHW, 90%; NHB, 66%; and Hispanic, 80% (P < .01). Compared with NHW, Hispanic and NHB children had 2.7-fold (95% CI, 1.2 to 6.2) and 3.5-fold (95% CI, 1.5 to 8.2) higher hazard of postrelapse mortality, respectively. CONCLUSION In patients who were treated for de novo HL in contemporary Children's Oncology Group trials, EFS did not differ by race/ethnicity; however, adjusted OS was significantly worse in nonwhite patients, a finding driven by increased postrelapse mortality in this population. Additional studies examining treatment and survival disparities after relapse are warranted.
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Affiliation(s)
| | - Kara M. Kelly
- Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Qinglin Pei
- Children’s Oncology Group Statistics and Data Center, University of Florida, Gainesville, FL
| | - Rizvan Bush
- Children’s Oncology Group Statistics and Data Center, Monrovia, CA
| | | | | | - Smita Bhatia
- University of Alabama at Birmingham, Birmingham, AL
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13
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Hsu J, Hodgins JJ, Marathe M, Nicolai CJ, Bourgeois-Daigneault MC, Trevino TN, Azimi CS, Scheer AK, Randolph HE, Thompson TW, Zhang L, Iannello A, Mathur N, Jardine KE, Kirn GA, Bell JC, McBurney MW, Raulet DH, Ardolino M. Contribution of NK cells to immunotherapy mediated by PD-1/PD-L1 blockade. J Clin Invest 2018; 128:4654-4668. [PMID: 30198904 DOI: 10.1172/jci99317] [Citation(s) in RCA: 538] [Impact Index Per Article: 89.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 07/24/2018] [Indexed: 12/12/2022] Open
Abstract
Checkpoint blockade immunotherapy targeting the PD-1/PD-L1 inhibitory axis has produced remarkable results in the treatment of several types of cancer. Whereas cytotoxic T cells are known to provide important antitumor effects during checkpoint blockade, certain cancers with low MHC expression are responsive to therapy, suggesting that other immune cell types may also play a role. Here, we employed several mouse models of cancer to investigate the effect of PD-1/PD-L1 blockade on NK cells, a population of cytotoxic innate lymphocytes that also mediate antitumor immunity. We discovered that PD-1 and PD-L1 blockade elicited a strong NK cell response that was indispensable for the full therapeutic effect of immunotherapy. PD-1 was expressed on NK cells within transplantable, spontaneous, and genetically induced mouse tumor models, and PD-L1 expression in cancer cells resulted in reduced NK cell responses and generation of more aggressive tumors in vivo. PD-1 expression was more abundant on NK cells with an activated and more responsive phenotype and did not mark NK cells with an exhausted phenotype. These results demonstrate the importance of the PD-1/PD-L1 axis in inhibiting NK cell responses in vivo and reveal that NK cells, in addition to T cells, mediate the effect of PD-1/PD-L1 blockade immunotherapy.
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Affiliation(s)
- Joy Hsu
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Jonathan J Hodgins
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Malvika Marathe
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Chris J Nicolai
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Marie-Claude Bourgeois-Daigneault
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Troy N Trevino
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Camillia S Azimi
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Amit K Scheer
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Haley E Randolph
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Thornton W Thompson
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Lily Zhang
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Alexandre Iannello
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Nikhita Mathur
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Karen E Jardine
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Georgia A Kirn
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - John C Bell
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Michael W McBurney
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - David H Raulet
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA
| | - Michele Ardolino
- Department of Molecular and Cell Biology, Immunotherapy and Vaccine Research Initiative, Cancer Research Laboratory, Division of Immunology and Pathogenesis, University of California, Berkeley, Berkeley, California, USA.,Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
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14
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Walewski J, Paszkiewicz-Kozik E, Borsaru G, Hellmann A, Janikova A, Warszewska A, Mais A, Ammendola A, Herz T, Krauss B, Henning SW. Resminostat in patients with relapsed or refractory Hodgkin lymphoma: results of the phase II SAPHIRE study. Leuk Lymphoma 2018; 60:675-684. [DOI: 10.1080/10428194.2018.1492122] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Jan Walewski
- Department of Lymphoid Malignancies, Maria Skłodowska-Curie Institute – Oncology Center, Warszawa, Poland
| | - Ewa Paszkiewicz-Kozik
- Department of Lymphoid Malignancies, Maria Skłodowska-Curie Institute – Oncology Center, Warszawa, Poland
| | | | - Andrzej Hellmann
- Department for Hematology and Transplantology, University Clinical Centre, Medical University of Gdansk, Gdansk, Poland
| | - Andrea Janikova
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Agnieszka Warszewska
- Department of Lymphoid Malignancies, Maria Skłodowska-Curie Institute – Oncology Center, Warszawa, Poland
| | - Anna Mais
- 4SC AG, Martinsried, Planegg, Germany
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15
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Sun R, Limkin EJ, Vakalopoulou M, Dercle L, Champiat S, Han SR, Verlingue L, Brandao D, Lancia A, Ammari S, Hollebecque A, Scoazec JY, Marabelle A, Massard C, Soria JC, Robert C, Paragios N, Deutsch E, Ferté C. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study. Lancet Oncol 2018; 19:1180-1191. [PMID: 30120041 DOI: 10.1016/s1470-2045(18)30413-3] [Citation(s) in RCA: 748] [Impact Index Per Article: 124.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 05/18/2018] [Accepted: 05/23/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Because responses of patients with cancer to immunotherapy can vary in success, innovative predictors of response to treatment are urgently needed to improve treatment outcomes. We aimed to develop and independently validate a radiomics-based biomarker of tumour-infiltrating CD8 cells in patients included in phase 1 trials of anti-programmed cell death protein (PD)-1 or anti-programmed cell death ligand 1 (PD-L1) monotherapy. We also aimed to evaluate the association between the biomarker, and tumour immune phenotype and clinical outcomes of these patients. METHODS In this retrospective multicohort study, we used four independent cohorts of patients with advanced solid tumours to develop and validate a radiomic signature predictive of immunotherapy response by combining contrast-enhanced CT images and RNA-seq genomic data from tumour biopsies to assess CD8 cell tumour infiltration. To develop the radiomic signature of CD8 cells, we used the CT images and RNA sequencing data of 135 patients with advanced solid malignant tumours who had been enrolled into the MOSCATO trial between May 1, 2012, and March 31, 2016, in France (training set). The genomic data, which are based on the CD8B gene, were used to estimate the abundance of CD8 cells in the samples and data were then aligned with the images to generate the radiomic signatures. The concordance of the radiomic signature (primary endpoint) was validated in a Cancer Genome Atlas [TGCA] database dataset including 119 patients who had available baseline preoperative imaging data and corresponding transcriptomic data on June 30, 2017. From 84 input variables used for the machine-learning method (78 radiomic features, five location variables, and one technical variable), a radiomics-based predictor of the CD8 cell expression signature was built by use of machine learning (elastic-net regularised regression method). Two other independent cohorts of patients with advanced solid tumours were used to evaluate this predictor. The immune phenotype internal cohort (n=100), were randomly selected from the Gustave Roussy Cancer Campus database of patient medical records based on previously described, extreme tumour-immune phenotypes: immune-inflamed (with dense CD8 cell infiltration) or immune-desert (with low CD8 cell infiltration), irrespective of treatment delivered; these data were used to analyse the correlation of the immune phenotype with this biomarker. Finally, the immunotherapy-treated dataset (n=137) of patients recruited from Dec 1, 2011, to Jan 31, 2014, at the Gustave Roussy Cancer Campus, who had been treated with anti-PD-1 and anti-PD-L1 monotherapy in phase 1 trials, was used to assess the predictive value of this biomarker in terms of clinical outcome. FINDINGS We developed a radiomic signature for CD8 cells that included eight variables, which was validated with the gene expression signature of CD8 cells in the TCGA dataset (area under the curve [AUC]=0·67; 95% CI 0·57-0·77; p=0·0019). In the cohort with assumed immune phenotypes, the signature was also able to discriminate inflamed tumours from immune-desert tumours (0·76; 0·66-0·86; p<0·0001). In patients treated with anti-PD-1 and PD-L1, a high baseline radiomic score (relative to the median) was associated with a higher proportion of patients who achieved an objective response at 3 months (vs those with progressive disease or stable disease; p=0·049) and a higher proportion of patients who had an objective response (vs those with progressive disease or stable disease; p=0·025) or stable disease (vs those with progressive disease; p=0·013) at 6 months. A high baseline radiomic score was also associated with improved overall survival in univariate (median overall survival 24·3 months in the high radiomic score group, 95% CI 18·63-42·1; vs 11·5 months in the low radiomic score group, 7·98-15·6; hazard ratio 0·58, 95% CI 0·39-0·87; p=0·0081) and multivariate analyses (0·52, 0·35-0·79; p=0·0022). INTERPRETATION The radiomic signature of CD8 cells was validated in three independent cohorts. This imaging predictor provided a promising way to predict the immune phenotype of tumours and to infer clinical outcomes for patients with cancer who had been treated with anti-PD-1 and PD-L1. Our imaging biomarker could be useful in estimating CD8 cell count and predicting clinical outcomes of patients treated with immunotherapy, when validated by further prospective randomised trials. FUNDING Fondation pour la Recherche Médicale, and SIRIC-SOCRATE 2.0, French Society of Radiation Oncology.
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Affiliation(s)
- Roger Sun
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Radiomics Team, Molecular Radiotherapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France; Department of Radiation Oncology, Gustave Roussy Cancer Campus, Villejuif, France
| | - Elaine Johanna Limkin
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Radiomics Team, Molecular Radiotherapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France; Department of Radiation Oncology, Gustave Roussy Cancer Campus, Villejuif, France
| | - Maria Vakalopoulou
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Centre for Visual Computing, University of Paris-Saclay, Gif-sur-Yvette, France
| | - Laurent Dercle
- Immunology of Tumours and Immunotherapy INSERM U1015, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France; Department of Nuclear Medicine and Endocrine Oncology, Gustave Roussy Cancer Campus, Villejuif, France
| | - Stéphane Champiat
- Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France
| | - Shan Rong Han
- Department of Pathology, North Franche-Comté Hospital, Trevenans, France
| | - Loïc Verlingue
- Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France
| | - David Brandao
- Haematology and Pathology INSERM U1170, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France
| | - Andrea Lancia
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Radiomics Team, Molecular Radiotherapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France; Department of Diagnostic Imaging, Molecular Imaging, Interventional Radiology, and Radiotherapy, Tor Vergata General Hospital, Rome, Italy
| | - Samy Ammari
- Department of Radiology, Gustave Roussy Cancer Campus, Villejuif, France
| | - Antoine Hollebecque
- Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France
| | - Jean-Yves Scoazec
- Department of Pathology, Gustave Roussy Cancer Campus, Villejuif, France; Faculty of Medicine, Paris-Sud University, Kremlin-Bicêtre, France
| | - Aurélien Marabelle
- Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France
| | - Christophe Massard
- Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France
| | - Jean-Charles Soria
- Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France; Faculty of Medicine, Paris-Sud University, Kremlin-Bicêtre, France
| | - Charlotte Robert
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Radiomics Team, Molecular Radiotherapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France; Medical Physics Unit, Gustave Roussy Cancer Campus, Villejuif, France; Faculty of Medicine, Paris-Sud University, Kremlin-Bicêtre, France
| | - Nikos Paragios
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Centre for Visual Computing, University of Paris-Saclay, Gif-sur-Yvette, France
| | - Eric Deutsch
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Radiomics Team, Molecular Radiotherapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France; Department of Radiation Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France; Faculty of Medicine, Paris-Sud University, Kremlin-Bicêtre, France.
| | - Charles Ferté
- Gustave Roussy-CentraleSupélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France; Radiomics Team, Molecular Radiotherapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France; Department of Drug Development, Gustave Roussy Cancer Campus, Villejuif, France
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16
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Hartley G, Elmslie R, Dow S, Guth A. Checkpoint molecule expression by B and T cell lymphomas in dogs. Vet Comp Oncol 2018; 16:352-360. [PMID: 29380929 DOI: 10.1111/vco.12386] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 01/02/2018] [Accepted: 01/03/2018] [Indexed: 12/17/2022]
Abstract
Immunotherapies targeting checkpoint molecule programmed cell death 1 (PD-1) protein were shown to be effective for treatment of non-Hodgkin lymphoma in people, but little is known about the expression of PD-1 or its ligand PD-L1 by canine lymphoma. Therefore, flow cytometry was used to analyse expression of PD-1 and PD-L1 in canine lymphoma, using fine-needle aspirates of lymph nodes from 34 dogs with B cell lymphoma (BCL), 6 dogs with T cell lymphoma (TCL) and 11 dogs that had relapsed. Furthermore, fine-needle aspirates were obtained from 17 healthy dogs for comparison. Lastly, the impact of chemotherapy resistance on expression of PD-1 and PD-L1 was assessed in vitro. These studies revealed increased expression of PD-L1 by malignant B cells compared to normal B cells. In the case of TCL, tumour cells and normal T cells both showed low to negative expression of PD-1 and PD-L1. In addition, tumour infiltrating lymphocytes from both BCL and TCL had increased expression of both PD-1 and PD-L1 expression compared to B and T cells from lymph nodes of healthy animals. In vitro, chemotherapy-resistant BCL and TCL cell lines exhibited increases in both PD-1 and PD-L1 expression, compared to non-chemotherapy selected tumour cells. These findings indicate that canine lymphomas exhibit upregulated checkpoint molecule expression, though the impact of checkpoint molecule expression on tumour biological behaviour remains unclear.
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Affiliation(s)
- G Hartley
- Department of Clinical Sciences, Flint Animal Cancer Center, Colorado State University, Fort Collins, Colorado
| | - R Elmslie
- Veterinary Referral Center of Colorado, Englewood, Colorado
| | - S Dow
- Department of Clinical Sciences, Flint Animal Cancer Center, Colorado State University, Fort Collins, Colorado
| | - A Guth
- Department of Clinical Sciences, Flint Animal Cancer Center, Colorado State University, Fort Collins, Colorado
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17
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Van Den Neste E, André M, Gastinne T, Stamatoullas A, Haioun C, Belhabri A, Reman O, Casasnovas O, Ghesquieres H, Verhoef G, Claessen MJ, Poirel HA, Copin MC, Dubois R, Vandenberghe P, Stoian IA, Cottereau AS, Bailly S, Knoops L, Morschhauser F. A phase II study of the oral JAK1/JAK2 inhibitor ruxolitinib in advanced relapsed/refractory Hodgkin lymphoma. Haematologica 2018; 103:840-848. [PMID: 29351986 PMCID: PMC5927969 DOI: 10.3324/haematol.2017.180554] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 01/10/2018] [Indexed: 12/31/2022] Open
Abstract
JAK2 constitutive activation/overexpression is common in classical Hodgkin lymphoma, and several cytokines stimulate Hodgkin lymphoma cells by recognizing JAK1-/JAK2-bound receptors. JAK blockade may thus be therapeutically beneficial in Hodgkin lymphoma. In this phase II study we assessed the safety and efficacy of ruxolitinib, an oral JAK1/2 inhibitor, in patients with relapsed/refractory Hodgkin lymphoma. The primary objective was overall response rate according to the International Harmonization Project 2007 criteria. Thirty-three patients with advanced disease (median number of prior lines of treatment: 5; refractory: 82%) were included; nine (27.3%) received at least six cycles of ruxolitinib and six (18.2%) received more than six cycles. The overall response rate after six cycles was 9.4% (3/32 patients). All three responders had partial responses; another 11 patients had transient stable disease. Best overall response rate was 18.8% (6/32 patients). Rapid alleviation of B-symptoms was common. The median duration of response was 7.7 months, median progression-free survival 3.5 months (95% CI: 1.9–4.6), and the median overall survival 27.1 months (95% CI: 14.4–27.1). Forty adverse events were reported in 14/33 patients (42.4%). One event led to treatment discontinuation, while 87.5% of patients recovered without sequelae. Twenty-five adverse events were grade 3 or higher. These events were mostly anemia (n=11), all considered related to ruxolitinib. Other main causes of grade 3 or higher adverse events included lymphopenia and infections. Of note, no cases of grade 4 neutropenia or thrombocytopenia were observed. Ruxolitinib shows signs of activity, albeit short-lived, beyond a simple anti-inflammatory effect. Its limited toxicity suggests that it has the potential to be combined with other therapeutic modalities. ClinicalTrials.gov: NCT01877005
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Affiliation(s)
- Eric Van Den Neste
- Department of Hematology, Cliniques Universitaires Saint-Luc, UCL Brussels, Belgium
| | - Marc André
- Hematology Department, CHU UCL Namur, Yvoir, Belgium
| | | | | | - Corinne Haioun
- Lymphoid Malignancies Unit, AP-HP, Groupe Hospitalier Mondor, Créteil, France
| | - Amine Belhabri
- Onco-hematology, Centre Leon Berard, University Claude Bernard Lyon 1, France
| | - Oumedaly Reman
- Hematology, Centre Hospitalier Universitaire, Caen, France
| | | | - Hervé Ghesquieres
- Hospices Civils de Lyon, Université Claude Bernard, Centre Hospitalier Lyon-Sud, Pierre Bénite, France
| | - Gregor Verhoef
- Department of Hematology, University Hospitals Leuven, Belgium
| | | | - Hélène A Poirel
- Center for Human Genetics, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | | | | | | | | | | | - Sarah Bailly
- Department of Hematology, Cliniques Universitaires Saint-Luc, UCL Brussels, Belgium
| | - Laurent Knoops
- Cliniques Universitaires Saint-Luc and de Duve Institute, Université Catholique de Louvain, Brussels, Belgium
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18
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Program death inhibitors in classical Hodgkin's lymphoma: a comprehensive review. Ann Hematol 2018; 97:555-561. [PMID: 29322203 DOI: 10.1007/s00277-017-3226-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 12/27/2017] [Indexed: 10/18/2022]
Abstract
Cancer cells are able to induce immune system tolerance through different mechanisms. Recent achievements in the understanding of tumor microenvironment, invasion, and metastasizing have contributed to accelerated drug developments and approvals. Hodgkin lymphoma (HL) cells are the minority in a lymphocyte-rich microenvironment of HL tissue. The program death-1 (PD-1)/PD-ligand-1 checkpoint is one of the known effective pathways in classical HL to escape the immune system cells. The approval of PD-1 inhibitors in different cancer types with exciting response rates is truly revolutionizing our treatment armamentarium against cancer in general and classical HL in specific. Although the disease is one of the most curable tumors, we still need better outcome with more gentle treatment, especially for relapsed and refractory (r/r) patients. In this article, we review the current literature on immune checkpoint inhibitors and currently ongoing studies with nivolumab and pembrolizumab in r/r classical HL.
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19
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Bond DA, Alinari L. Emerging treatment options for the management of Hodgkin's lymphoma: clinical utility of nivolumab. J Blood Med 2017; 8:41-54. [PMID: 28546779 PMCID: PMC5436782 DOI: 10.2147/jbm.s117452] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Classical Hodgkin's lymphoma (cHL) is a B-cell malignancy comprised of pathologic Reed Sternberg cells with a surrounding immune-tolerant inflammatory milieu. RS cells evade immune recognition in part through programmed death ligand 1 (PD-L1) overexpression, which is genetically programmed through copy number alterations, polysomy, and amplification of the 9p24.1 locus encoding PD-L1. By engaging with PD-1+ T-cells, PD-L1 delivers a potent immune suppressive signal promoting immunologic escape of the tumor cell. Enhancing antitumor immune response by targeting PD-1 with the monoclonal antibody nivolumab has proved to be effective in multiple solid tumors, but the highest response rates to date have been reported in patients with cHL, with over 65% of treated patients achieving an objective clinical response. In this review, we will summarize the published evidence regarding the activity of nivolumab in cHL as well as its current place in therapy. We will review the pharmacology, mechanism of action, and side effects of nivolumab as well as the emerging data indicating possible increased risk of graft versus host disease in patients treated with PD-1 inhibitors either pre- or post-allogeneic stem cell transplant. Given the remarkable single-agent activity and safety profile of PD-1 inhibitors in heavily pretreated patients with cHL, the possibility of employing nivolumab in combination with other active agents and earlier in therapy is a promising area of active investigation, and we will briefly summarize current clinical trials.
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Affiliation(s)
- David A Bond
- Department of Internal Medicine, Division of Hematology, Arthur G James Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Lapo Alinari
- Department of Internal Medicine, Division of Hematology, Arthur G James Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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