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Chang CC, Lin CY, Liu YS, Chen YY, Huang WL, Lai WW, Yen YT, Ma MC, Tseng YL. Therapeutic Decision Making in Prevascular Mediastinal Tumors Using CT Radiomics and Clinical Features: Upfront Surgery or Pretreatment Needle Biopsy? Cancers (Basel) 2024; 16:773. [PMID: 38398164 PMCID: PMC10886806 DOI: 10.3390/cancers16040773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
The study aimed to develop machine learning (ML) classification models for differentiating patients who needed direct surgery from patients who needed core needle biopsy among patients with prevascular mediastinal tumor (PMT). Patients with PMT who received a contrast-enhanced computed tomography (CECT) scan and initial management for PMT between January 2010 and December 2020 were included in this retrospective study. Fourteen ML algorithms were used to construct candidate classification models via the voting ensemble approach, based on preoperative clinical data and radiomic features extracted from the CECT. The classification accuracy of clinical diagnosis was 86.1%. The first ensemble learning model was built by randomly choosing seven ML models from a set of fourteen ML models and had a classification accuracy of 88.0% (95% CI = 85.8 to 90.3%). The second ensemble learning model was the combination of five ML models, including NeuralNetFastAI, NeuralNetTorch, RandomForest with Entropy, RandomForest with Gini, and XGBoost, and had a classification accuracy of 90.4% (95% CI = 87.9 to 93.0%), which significantly outperformed clinical diagnosis (p < 0.05). Due to the superior performance, the voting ensemble learning clinical-radiomic classification model may be used as a clinical decision support system to facilitate the selection of the initial management of PMT.
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Affiliation(s)
- Chao-Chun Chang
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-C.C.); (Y.-Y.C.); (W.-L.H.); (W.-W.L.); (Y.-L.T.)
| | - Chia-Ying Lin
- Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-Y.L.); (Y.-S.L.)
| | - Yi-Sheng Liu
- Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-Y.L.); (Y.-S.L.)
| | - Ying-Yuan Chen
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-C.C.); (Y.-Y.C.); (W.-L.H.); (W.-W.L.); (Y.-L.T.)
| | - Wei-Li Huang
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-C.C.); (Y.-Y.C.); (W.-L.H.); (W.-W.L.); (Y.-L.T.)
| | - Wu-Wei Lai
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-C.C.); (Y.-Y.C.); (W.-L.H.); (W.-W.L.); (Y.-L.T.)
- Division of Thoracic Surgery, Department of Surgery, An-Nan Hospital, China Medical University, Tainan 70965, Taiwan
| | - Yi-Ting Yen
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-C.C.); (Y.-Y.C.); (W.-L.H.); (W.-W.L.); (Y.-L.T.)
- Division of Trauma and Acute Care Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan
| | - Mi-Chia Ma
- Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan 701401, Taiwan
| | - Yau-Lin Tseng
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan; (C.-C.C.); (Y.-Y.C.); (W.-L.H.); (W.-W.L.); (Y.-L.T.)
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Cortese MJ, Wei W, Cerdeña S, Watkins MP, Olson M, Jodon G, Kaiser J, Haverkos B, Hughes ME, Namoglu E, Grover NS, Snow A, Orellana-Noia V, Rainey M, Sohail M, Rudoni J, Portell C, Voorhees T, Landsburg DJ, Kamdar M, Kahl BS, Hill BT. A multi-center analysis of the impact of DA-EPOCH-R dose-adjustment on clinical outcomes of patients with double/triple-hit lymphoma. Leuk Lymphoma 2023; 64:107-118. [PMID: 36323309 DOI: 10.1080/10428194.2022.2140281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Patients with double- and triple-hit lymphomas (DHL/THL) have inferior outcomes with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP), and higher-intensity regimens such as dose-adjusted (DA)-EPOCH-R are standard. Dose-intensification of DA-EPOCH-R is guided by hematologic toxicity, without conclusive benefit for DHL/THL patients. To determine if cumulative doses of DA-EPOCH-R or compliance with dose adjustment impacts survival, we retrospectively evaluated detailed clinical data from 109 adult (age ≥18 years) patients with DHL/THL treated with ≥4 cycles of induction DA-EPOCH-R from 2014 to 2019 at six centers. A comprehensive multivariate analysis was performed. Survival outcomes for the entire cohort were comparable to historical estimates for DHL/THL treated with this regimen (median follow-up 27.9 months). Overall survival (OS) and progression-free survival (PFS) were not significantly associated with cumulative chemotherapy dose, dose escalation, or compliance with dose adjustment. Heterogeneous dosing practices were observed. Prospective investigation is warranted to evaluate the practice of dose adjustment of R-EPOCH for patients with DHL/THL.
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Affiliation(s)
- Matthew J Cortese
- Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland, OH, USA
| | - Wei Wei
- Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Lerner Research Institute, Cleveland, OH, USA
| | - Sebastian Cerdeña
- Barnes-Jewish Hospital, Washington University in St. Louis, St. Louis, MO, USA
| | - Marcus P Watkins
- Barnes-Jewish Hospital, Washington University in St. Louis, St. Louis, MO, USA
| | - Marissa Olson
- Barnes-Jewish Hospital, Washington University in St. Louis, St. Louis, MO, USA
| | - Gray Jodon
- University of Colorado Cancer Center, Aurora, CO, USA
| | - Jeff Kaiser
- University of Colorado Cancer Center, Aurora, CO, USA
| | | | - Mitchell E Hughes
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Esin Namoglu
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Natalie S Grover
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Anson Snow
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Victor Orellana-Noia
- Division of Hematology/Oncology, University of Virginia, Charlottesville, VA, USA
| | - Magdalena Rainey
- Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Mohammad Sohail
- Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Joslyn Rudoni
- Department of Pharmacy, Cleveland Clinic, Cleveland, OH, USA
| | - Craig Portell
- Division of Hematology/Oncology, University of Virginia, Charlottesville, VA, USA
| | - Timothy Voorhees
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Daniel J Landsburg
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Manali Kamdar
- University of Colorado Cancer Center, Aurora, CO, USA
| | - Brad S Kahl
- Barnes-Jewish Hospital, Washington University in St. Louis, St. Louis, MO, USA
| | - Brian T Hill
- Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland, OH, USA
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Ritter Z, Papp L, Zámbó K, Tóth Z, Dezső D, Veres DS, Máthé D, Budán F, Karádi É, Balikó A, Pajor L, Szomor Á, Schmidt E, Alizadeh H. Two-Year Event-Free Survival Prediction in DLBCL Patients Based on In Vivo Radiomics and Clinical Parameters. Front Oncol 2022; 12:820136. [PMID: 35756658 PMCID: PMC9216187 DOI: 10.3389/fonc.2022.820136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 05/18/2022] [Indexed: 12/11/2022] Open
Abstract
Purpose For the identification of high-risk patients in diffuse large B-cell lymphoma (DLBCL), we investigated the prognostic significance of in vivo radiomics derived from baseline [18F]FDG PET/CT and clinical parameters. Methods Pre-treatment [18F]FDG PET/CT scans of 85 patients diagnosed with DLBCL were assessed. The scans were carried out in two clinical centers. Two-year event-free survival (EFS) was defined. After delineation of lymphoma lesions, conventional PET parameters and in vivo radiomics were extracted. For 2-year EFS prognosis assessment, the Center 1 dataset was utilized as the training set and underwent automated machine learning analysis. The dataset of Center 2 was utilized as an independent test set to validate the established predictive model built by the dataset of Center 1. Results The automated machine learning analysis of the Center 1 dataset revealed that the most important features for building 2-year EFS are as follows: max diameter, neighbor gray tone difference matrix (NGTDM) busyness, total lesion glycolysis, total metabolic tumor volume, and NGTDM coarseness. The predictive model built on the Center 1 dataset yielded 79% sensitivity, 83% specificity, 69% positive predictive value, 89% negative predictive value, and 0.85 AUC by evaluating the Center 2 dataset. Conclusion Based on our dual-center retrospective analysis, predicting 2-year EFS built on imaging features is feasible by utilizing high-performance automated machine learning.
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Affiliation(s)
- Zsombor Ritter
- Department of Medical Imaging, Medical School, University of Pécs, Pécs, Hungary
| | - László Papp
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
| | - Katalin Zámbó
- Department of Medical Imaging, Medical School, University of Pécs, Pécs, Hungary
| | - Zoltán Tóth
- University of Kaposvár, PET Medicopus Nonprofit Ltd., Kaposvár, Hungary
| | - Dániel Dezső
- Department of Medical Imaging, Medical School, University of Pécs, Pécs, Hungary
| | - Dániel Sándor Veres
- Department of Biophysics and Radiation Biology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Domokos Máthé
- Department of Biophysics and Radiation Biology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.,In Vivo Imaging Advanced Core Facility, Hungarian Centre of Excellence for Molecular Medicine, Budapest, Hungary
| | - Ferenc Budán
- Institute of Transdisciplinary Discoveries, Medical School, University of Pécs, Pécs, Hungary.,Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
| | - Éva Karádi
- Department of Hematology, University of Kaposvár, Kaposvár, Hungary
| | - Anett Balikó
- County Hospital Tolna, János Balassa Hospital, Szekszárd, Hungary
| | - László Pajor
- Department of Pathology, Medical School, University of Pécs, Pécs, Hungary
| | - Árpád Szomor
- 1st Department of Internal Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Erzsébet Schmidt
- Department of Medical Imaging, Medical School, University of Pécs, Pécs, Hungary
| | - Hussain Alizadeh
- 1st Department of Internal Medicine, Medical School, University of Pécs, Pécs, Hungary
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Miura K, Takahashi H, Nakagawa M, Hamada T, Uchino Y, Iizuka K, Ohtake S, Iriyama N, Hatta Y, Nakamura H. Ideal dose intensity of R-CHOP in diffuse large B-cell lymphoma. Expert Rev Anticancer Ther 2022; 22:583-595. [PMID: 35472312 DOI: 10.1080/14737140.2022.2071262] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION The standard of care for diffuse large B-cell lymphoma (DLBCL) is rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP). However, its ideal dose intensity varies among cases. AREAS COVERED This review provides the latest insights on the dose intensity of R-CHOP for DLBCL patients. Specifically, we discussed the optimal dose intensity for elderly patients, the optimal number of treatment cycles for limited or advanced-stage diseases, and the role of dose-intensified therapies or adding targeted inhibitors. EXPERT OPINION Performing a comprehensive or simplified geriatric assessment can distinguish elderly DLBCL patients who will likely benefit from curative R-CHOP. Very elderly or medically unfit patients may need dose reduction in R-CHOP; the Age, Comorbidities, and Albumin index may aid decision-making. Four cycles of R-CHOP followed by two rituximab cycles comprise a new standard for low-risk, limited-stage DLBCL patients. Compared to eight cycles, six cycles of R-CHOP have similar efficacy and fewer toxicities for advanced-stage DLBCL. Dose-intensified therapy is not recommended in most DLBCL cases but may be considered for patients with double (or triple)-hit lymphoma. Applying targeted inhibitors and not merely escalating R-CHOP dose intensity through molecular subtyping will improve the treatment outcome for DLBCL.
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Affiliation(s)
- Katsuhiro Miura
- Tumor Center, Nihon University Itabashi Hospital (Director); 2Department of Hematology and Rheumatology, Nihon University School of Medicine (Associate Professor), Tokyo, Japan.,Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan
| | - Hiromichi Takahashi
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan.,Division of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine (Assistant Professor), Tokyo, Japan
| | - Masaru Nakagawa
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan.,Division of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine (Assistant Professor), Tokyo, Japan
| | - Takashi Hamada
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan
| | - Yoshihito Uchino
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan
| | - Kazuhide Iizuka
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan.,Division of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine (Assistant Professor), Tokyo, Japan
| | - Shimon Ohtake
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan
| | - Noriyoshi Iriyama
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan
| | - Yoshihiro Hatta
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan
| | - Hideki Nakamura
- Department of Hematology and Rheumatology, Nihon University School of Medicine, Tokyo, Japan
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Lin CY, Yen YT, Huang LT, Chen TY, Liu YS, Tang SY, Huang WL, Chen YY, Lai CH, Fang YHD, Chang CC, Tseng YL. An MRI-Based Clinical-Perfusion Model Predicts Pathological Subtypes of Prevascular Mediastinal Tumors. Diagnostics (Basel) 2022; 12:diagnostics12040889. [PMID: 35453937 PMCID: PMC9026802 DOI: 10.3390/diagnostics12040889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/18/2022] [Accepted: 03/31/2022] [Indexed: 12/10/2022] Open
Abstract
This study aimed to build machine learning prediction models for predicting pathological subtypes of prevascular mediastinal tumors (PMTs). The candidate predictors were clinical variables and dynamic contrast–enhanced MRI (DCE-MRI)–derived perfusion parameters. The clinical data and preoperative DCE–MRI images of 62 PMT patients, including 17 patients with lymphoma, 31 with thymoma, and 14 with thymic carcinoma, were retrospectively analyzed. Six perfusion parameters were calculated as candidate predictors. Univariate receiver-operating-characteristic curve analysis was performed to evaluate the performance of the prediction models. A predictive model was built based on multi-class classification, which detected lymphoma, thymoma, and thymic carcinoma with sensitivity of 52.9%, 74.2%, and 92.8%, respectively. In addition, two predictive models were built based on binary classification for distinguishing Hodgkin from non-Hodgkin lymphoma and for distinguishing invasive from noninvasive thymoma, with sensitivity of 75% and 71.4%, respectively. In addition to two perfusion parameters (efflux rate constant from tissue extravascular extracellular space into the blood plasma, and extravascular extracellular space volume per unit volume of tissue), age and tumor volume were also essential parameters for predicting PMT subtypes. In conclusion, our machine learning–based predictive model, constructed with clinical data and perfusion parameters, may represent a useful tool for differential diagnosis of PMT subtypes.
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Affiliation(s)
- Chia-Ying Lin
- Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (C.-Y.L.); (L.-T.H.); (Y.-S.L.)
| | - Yi-Ting Yen
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-T.Y.); (W.-L.H.); (Y.-Y.C.); (Y.-L.T.)
- Division of Trauma and Acute Care Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Li-Ting Huang
- Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (C.-Y.L.); (L.-T.H.); (Y.-S.L.)
| | - Tsai-Yun Chen
- Division of Hematology and Oncology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
| | - Yi-Sheng Liu
- Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (C.-Y.L.); (L.-T.H.); (Y.-S.L.)
| | - Shih-Yao Tang
- Department of Biomedical Engineering, National Cheng Kung University, Tainan 704, Taiwan;
| | - Wei-Li Huang
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-T.Y.); (W.-L.H.); (Y.-Y.C.); (Y.-L.T.)
| | - Ying-Yuan Chen
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-T.Y.); (W.-L.H.); (Y.-Y.C.); (Y.-L.T.)
| | - Chao-Han Lai
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
| | - Yu-Hua Dean Fang
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Correspondence: (Y.-H.D.F.); (C.-C.C.)
| | - Chao-Chun Chang
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-T.Y.); (W.-L.H.); (Y.-Y.C.); (Y.-L.T.)
- Correspondence: (Y.-H.D.F.); (C.-C.C.)
| | - Yau-Lin Tseng
- Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-T.Y.); (W.-L.H.); (Y.-Y.C.); (Y.-L.T.)
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Prognostic Value of Histone Modifying Enzyme EZH2 in RCHOP-Treated Diffuse Large B-Cell Lymphoma and High Grade B-Cell Lymphoma. J Pers Med 2021; 11:jpm11121384. [PMID: 34945856 PMCID: PMC8703891 DOI: 10.3390/jpm11121384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/11/2021] [Accepted: 12/14/2021] [Indexed: 11/17/2022] Open
Abstract
Background: DLBCL represent a heterogeneous group of aggressive diseases. High grade B-cell lymphomas (HGBCL) were recently individualized from DLBCL as a discrete diagnostic entity due to their worse prognosis. Currently, although most patients are successfully treated with RCHOP regimens, 1/3 will either not respond or ultimately relapse. Alterations in histone modifying enzymes have emerged as the most common alterations in DLBCL, but their role as prognostic biomarkers is controversial. We aimed to ascertain the prognostic value of EZH2 immunoexpression in RCHOP-treated DLBCL and HGBCL. Results: We performed a retrospective cohort study including 125 patients with RCHOP-treated DLBCL or HGBCL. EZH2 expression levels did not differ between diagnostic groups or between DLBCL-NOS molecular groups. We found no associations between EZH2 expression levels and outcome, including in the subgroup analysis (GC versus non-GC). Nonetheless, EZH2/BCL2 co-expression was significantly associated with worse outcome (event free survival and overall survival). Conclusion: Although EZH2 mutations are almost exclusively found in GC-DLBCL, we found similar EZH2 expression levels in both DLBCL-NOS molecular groups, suggesting non-mutational mechanisms of EZH2 deregulation. These findings suggest that the use of EZH2 antagonists might be extended to non-GC DLBCL patients with clinical benefit. EZH2/BCL2 co-expression was associated with a worse outcome.
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Zhao WL, Zhang MC, Fu D. [How I diagnose and treat diffuse large B cell lymphoma]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2021; 42:978-984. [PMID: 35045667 PMCID: PMC8770886 DOI: 10.3760/cma.j.issn.0253-2727.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Indexed: 11/16/2022]
Affiliation(s)
- W L Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - M C Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - D Fu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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In situ lymphoma imaging in a spontaneous mouse model using the Cerenkov Luminescence of F-18 and Ga-67 isotopes. Sci Rep 2021; 11:24002. [PMID: 34907289 PMCID: PMC8671545 DOI: 10.1038/s41598-021-03505-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 10/12/2021] [Indexed: 11/08/2022] Open
Abstract
Cerenkov luminescence imaging (CLI) is a promising approach to image-guided surgery and pathological sampling. It could offer additional advantages when combined to whole-body isotope tomographies. We aimed to obtain evidence of its applicability in lymphoma patho-diagnostics, thus we decided to investigate the radiodiagnostic potential of combined PET or SPECT/CLI in an experimental, novel spontaneous high-grade B-cell lymphoma mouse model (Bc.DLFL1). We monitored the lymphoma dissemination at early stage, and at clinically relevant stages such as advanced stage and terminal stage with in vivo 2-deoxy-2-[18F]fluoro-d-glucose (FDG) positron emission tomography (PET)/magnetic resonance imaging (MRI) and 67Ga-citrate single photon emission computed tomography (SPECT)/MRI. In vivo imaging was combined with ex vivo high resolution CLI. The use of CLI with 18F-Fluorine (F-18) and 67Ga-Gallium isotopes in the selection of infiltrated lymph nodes for tumor staging and pathology was thus tested. At advanced stage, FDG PET/MRI plus ex vivo CLI allowed accurate detection of FDG accumulation in lymphoma-infiltrated tissues. At terminal stage we detected tumorous lymph nodes with SPECT/MRI and we could report in vivo detection of the Cerenkov light emission of 67Ga. CLI with 67Ga-citrate revealed lymphoma accumulation in distant lymph node locations, unnoticeable with only MRI. Flow cytometry and immunohistochemistry confirmed these imaging results. Our study promotes the combined use of PET and CLI in preclinical studies and clinical practice. Heterogeneous FDG distribution in lymph nodes, detected at sampling surgery, has implications for tissue pathology processing and it could direct therapy. The results with 67Ga also point to the opportunities to further apply suitable SPECT radiopharmaceuticals for CLI.
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9
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Diamantidis MD, Papaioannou M, Hatjiharissi E. Primary gastric non-Hodgkin lymphomas: Recent advances regarding disease pathogenesis and treatment. World J Gastroenterol 2021; 27:5932-5945. [PMID: 34629810 PMCID: PMC8475005 DOI: 10.3748/wjg.v27.i35.5932] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/27/2021] [Accepted: 08/30/2021] [Indexed: 02/06/2023] Open
Abstract
Primary gastric lymphomas (PGLs) are distinct lymphoproliferative neoplasms described as heterogeneous entities clinically and molecularly. Their main histological types are diffuse large B-cell lymphoma (DLBCL) or mucosa-associated lymphoma tissue. PGL has been one of the main fields of clinical research of our group in recent years. Although gastric DLBCLs are frequent, sufficient data to guide optimal care are scarce. Until today, a multidisciplinary approach has been applied, including chemotherapy, surgery, radiotherapy or a combination of these treatments. In this minireview article, we provide an overview of the clinical manifestations, diagnosis and staging of these diseases, along with their molecular pathogenesis and the most important related clinical published series. We then discuss the scientific gaps, perils and pitfalls that exist regarding the aforementioned studies, in parallel with the unmet need for future research and comment on the proper methodology for such retrospective studies. Aiming to fill this gap, we retrospectively evaluated the trends in clinical presentation, management and outcome among 165 patients with DLBCL PGL who were seen in our institutions in 1980-2014. The study cohort was divided into two subgroups, comparing the main 2 therapeutic options [cyclophosphamide doxorubicin vincristine prednisone (CHOP) vs rituximab-CHOP (R-CHOP)]. A better outcome with immunochemotherapy (R-CHOP) was observed. In the next 2 mo, we will present the update of our study with the same basic conclusion.
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Affiliation(s)
- Michael D Diamantidis
- Department of Hematology, Thalassemia and Sickle Cell Disease Unit, General Hospital of Larissa, Larissa 41221, Thessaly, Greece
| | - Maria Papaioannou
- Division of Hematology, First Department of Internal Medicine, AHEPA General Hospital, Aristotle University of Thessaloniki, Thessaloniki 54636, Greece
| | - Evdoxia Hatjiharissi
- Division of Hematology, First Department of Internal Medicine, AHEPA General Hospital, Aristotle University of Thessaloniki, Thessaloniki 54636, Greece
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Drillis G, Goulielmaki M, Spandidos DA, Aggelaki S, Zoumpourlis V. Non-coding RNAs (miRNAs and lncRNAs) and their roles in lymphogenesis in all types of lymphomas and lymphoid malignancies. Oncol Lett 2021; 21:393. [PMID: 33777216 PMCID: PMC7988683 DOI: 10.3892/ol.2021.12654] [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: 12/16/2020] [Accepted: 02/26/2021] [Indexed: 12/16/2022] Open
Abstract
Contemporary developments in molecular biology have been combined with discoveries on the analysis of the role of all non-coding RNAs (ncRNAs) in human diseases, particularly in cancer, by examining their roles in cells. Currently, included among these common types of cancer, are all the lymphomas and lymphoid malignancies, which represent a diverse group of neoplasms and malignant disorders. Initial data suggest that non-coding RNAs, particularly long ncRNAs (lncRNAs), play key roles in oncogenesis and that lncRNA-mediated biology is an important key pathway to cancer progression. Other non-coding RNAs, termed microRNAs (miRNAs or miRs), are very promising cancer molecular biomarkers. They can be detected in tissues, cell lines, biopsy material and all biological fluids, such as blood. With the number of well-characterized cancer-related lncRNAs and miRNAs increasing, the study of the roles of non-coding RNAs in cancer is bringing forth new hypotheses of the biology of cancerous cells. For the first time, to the best of our knowledge, the present review provides an up-to-date summary of the recent literature referring to all diagnosed ncRNAs that mediate the pathogenesis of all types of lymphomas and lymphoid malignancies.
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Affiliation(s)
- Georgios Drillis
- 1st Internal Medicine Clinic, Medical School, Laiko University Hospital of Athens, 115 27 Athens, Greece
| | - Maria Goulielmaki
- Biomedical Applications Unit, Institute of Chemical Biology, National Hellenic Research Foundation (NHRF), 116 35 Athens, Greece
| | - Demetrios A Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Sofia Aggelaki
- Oncology Unit, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Vassilios Zoumpourlis
- Biomedical Applications Unit, Institute of Chemical Biology, National Hellenic Research Foundation (NHRF), 116 35 Athens, Greece
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11
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Nordmo C, Glehr G, Altenbuchinger M, Spang R, Ziepert M, Horn H, Staiger AM, Ott G, Schmitz N, Held G, Einsele H, Topp M, Rosenwald A, Rauert-Wunderlich H. Identification of a miRNA based model to detect prognostic subgroups in patients with aggressive B-cell lymphoma. Leuk Lymphoma 2020; 62:1107-1115. [PMID: 33353431 DOI: 10.1080/10428194.2020.1861268] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
In order to differentiate prognostic subgroups of patients with aggressive B-cell lymphoma, we analyzed the expression of 800 miRNAs with the NanoString nCounter human miRNA assay on a cohort of 228 FFPE samples of patients enrolled in the RICOVER-60 and MegaCHOEP trials. We identified significant miRNA signatures for overall survival (OS) and progression-free survival (PFS) by LASSO-penalized linear Cox-regression. High expression levels of miR-130a-3p and miR-423-5p indicate a better prognosis, whereas high levels of miR-374b-5p, miR-590-5p, miR-186-5p, and miR-106b-5p increase patients' risk levels for OS. Regarding PFS high expression of miR-365a-5p in addition to the other two miRNAs improves the prognosis and high levels of miR374a-5p, miR-106b-5p, and miR-590-5p, connects with increased risk and poor prognosis. We identified miRNA signatures to subdivide patients into two different risk groups. These prognostic models may be used in risk stratification in future clinical trials and help making personalized therapy decisions.
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Affiliation(s)
- Carmen Nordmo
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.,Institute of Pathology, University of Würzburg and Comprehensive Cancer Center (CCC) Mainfranken, Würzburg, Germany
| | - Gunther Glehr
- Institute of Functional Genomics, Statistical Bioinformatics, University of Regensburg, Regensburg, Germany
| | - Michael Altenbuchinger
- Institute of Functional Genomics, Statistical Bioinformatics, University of Regensburg, Regensburg, Germany
| | - Rainer Spang
- Institute of Functional Genomics, Statistical Bioinformatics, University of Regensburg, Regensburg, Germany
| | - Marita Ziepert
- Institute of Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Heike Horn
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany and University of Tuebingen, Tuebingen, Germany.,Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - Annette M Staiger
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany and University of Tuebingen, Tuebingen, Germany.,Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - Norbert Schmitz
- Department of Medicine A, University Hospital Münster, Münster, Germany
| | - Gerhard Held
- DSHNHL Studiensekretariat, Westpfalz Klinikum GmbH, Kaiserslautern, Germany
| | - Hermann Einsele
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Max Topp
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Andreas Rosenwald
- Institute of Pathology, University of Würzburg and Comprehensive Cancer Center (CCC) Mainfranken, Würzburg, Germany
| | - Hilka Rauert-Wunderlich
- Institute of Pathology, University of Würzburg and Comprehensive Cancer Center (CCC) Mainfranken, Würzburg, Germany
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12
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Zhou H, Xu-Monette ZY, Xiao L, Strati P, Hagemeister FB, He Y, Chen H, Li Y, Manyam GC, Li Y, Montes-Moreno S, Piris MA, Young KH. Prognostic factors, therapeutic approaches, and distinct immunobiologic features in patients with primary mediastinal large B-cell lymphoma on long-term follow-up. Blood Cancer J 2020; 10:49. [PMID: 32366834 PMCID: PMC7198569 DOI: 10.1038/s41408-020-0312-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 03/04/2020] [Accepted: 03/17/2020] [Indexed: 12/24/2022] Open
Abstract
Primary mediastinal large B-cell lymphoma (PMBCL) is a rare and distinct subtype of diffuse large B-cell lymphoma (DLBCL) without prognostic factors or a single standard of treatment clearly defined. In this study we performed retrospective analysis for clinical outcomes of 166 patients with PMBCL. In overall PMBCL, higher International Prognostic Index, stage, Ki-67 proliferation index, and positron emission tomography (PET) maximum standardized uptake values (SUVmax) at diagnosis were significantly associated with poorer survival, whereas MUM1 expression and higher peripheral blood lymphocyte/monocyte ratios were significantly associated with better survival. Patients who received R-HCVAD or R-EPOCH had better clinical outcome than did those who received the standard treatment R-CHOP. Treatment response and end-of-treatment PET SUVmax had remarkable correlations with survival outcome. In patients with refractory or relapsed PMBCL, stem cell transplant significantly improved overall survival. PMBCL had distinct gene expression signatures compared with overall DLBCL–NOS but not with DLBCL with PD-L1/PD-L2 amplification. PMBCL also showed higher PD-L2 expression in B-cells, lower PD-1 expression in T-cells, and higher CTLA-4 expression in T-cells and distinct miRNA signatures compared with DLBCL-NOS. The prognostic factors, effectiveness of treatment, transcriptional and epigenetic signatures, and immunologic features revealed by this study enrich our understanding of PMBCL biology and support future treatment strategy.
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Affiliation(s)
- Hui Zhou
- Duke University Medical Center, Division of Hematopathology and Department of Pathology, Durham, NC, USA
| | - Zijun Y Xu-Monette
- Duke University Medical Center, Division of Hematopathology and Department of Pathology, Durham, NC, USA.,Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ling Xiao
- Department of Histology and Embryology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Paolo Strati
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fredrick B Hagemeister
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yizi He
- Department of Lymphoma and Hematology, the Affiliated Tumor Hospital of Xiangya Medical School of Central South University, Changsha, Hunan, China
| | - Huan Chen
- Department of Lymphoma and Hematology, the Affiliated Tumor Hospital of Xiangya Medical School of Central South University, Changsha, Hunan, China
| | - Yajun Li
- Department of Lymphoma and Hematology, the Affiliated Tumor Hospital of Xiangya Medical School of Central South University, Changsha, Hunan, China
| | - Ganiraju C Manyam
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yong Li
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Santiago Montes-Moreno
- Servicio de Anatomía Patológica, Translational Hematopathology Lab, Hospital Universitario Marqués de Valdecilla/IDIVAL, Santander, Spain
| | | | - Ken H Young
- Duke University Medical Center, Division of Hematopathology and Department of Pathology, Durham, NC, USA. .,Duke Cancer Institute, Durham, NC, USA.
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13
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Beutler BD, Krishan R, Parafianowicz P, Ulanja MB, Elliott C, France J, Islam R, Gullapalli N. ABC-type diffuse large B-cell lymphoma presenting as rotator cuff tendinopathy: A diagnostic dilemma and review of the literature. Clin Case Rep 2020; 8:327-332. [PMID: 32128182 PMCID: PMC7044365 DOI: 10.1002/ccr3.2630] [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: 08/14/2019] [Revised: 10/07/2019] [Accepted: 12/01/2019] [Indexed: 11/08/2022] Open
Abstract
Diffuse large B-cell lymphoma often presents with extranodal manifestations involving the musculoskeletal system. Shoulder pain is particularly worrisome for malignancy. Individuals presenting with refractory upper extremity complaints should undergo a prompt and thorough evaluation for cancer, as a delay in diagnosis can result in an unfavorable outcome.
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Affiliation(s)
- Bryce David Beutler
- Department of Internal MedicineReno School of MedicineUniversity of NevadaRenoNVUSA
| | - Rohee Krishan
- Department of Internal MedicineReno School of MedicineUniversity of NevadaRenoNVUSA
| | - Pawel Parafianowicz
- Department of Internal MedicineReno School of MedicineUniversity of NevadaRenoNVUSA
| | - Mark B. Ulanja
- Department of Internal MedicineReno School of MedicineUniversity of NevadaRenoNVUSA
| | - Christie Elliott
- Department of Pathology and Laboratory MedicineReno School of MedicineUniversity of NevadaRenoNVUSA
| | - Joel France
- Department of Pathology and Laboratory MedicineReno School of MedicineUniversity of NevadaRenoNVUSA
| | - Raheel Islam
- Department of Internal MedicineReno School of MedicineUniversity of NevadaRenoNVUSA
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14
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Phuoc V, Sandoval-Sus J, Chavez JC. Drug therapy for double-hit lymphoma. Drugs Context 2019; 8:dic-8-2019-8-1. [PMID: 31844420 PMCID: PMC6905641 DOI: 10.7573/dic.2019-8-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 10/15/2019] [Accepted: 10/17/2019] [Indexed: 12/19/2022] Open
Abstract
Double-hit lymphoma (DHL) is a rare type of aggressive B-cell lymphoma defined as a high-grade B-cell lymphoma (HGBCL) with the presence of MYC, BCL2 and/or BCL6 rearrangements. Patients usually present with rapidly progressive and advanced stage of disease and, commonly, with extranodal involvement. Typically, patients become refractory to standard R-CHOP, and more aggressive regimens such as DA-EPOCH-R, R-hyperCVAD or CODOX-R regimens are typically needed. MYC is considered an “undruggable” mutation. Recent evidence suggests that pathogenic mechanisms associated with MYC could be potential targets. In this review, we also discuss the role of hematopoietic stem cell transplantation (HCT) and chimeric antigen receptor (CAR) T-cell therapy in DHL. We also discuss the role of potential novel agents such as BCL2 inhibitors, checkpoint inhibitors, bromodomain and extraterminal (BET) family inhibitors, Pi3K inhibitors, and others.
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Affiliation(s)
- Vania Phuoc
- Division Hematology/Oncology, University of South Florida, Tampa, FL, USA
| | - Jose Sandoval-Sus
- Department of Malignant Hematology and Cellular Therapy at Memorial Healthcare System, Pembroke Pines, FL, USA
| | - Julio C Chavez
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa FL, USA
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15
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Jiang L, Sun Y, Wang J, He Q, Chen X, Lan X, Chen J, Dou QP, Shi X, Liu J. Proteasomal cysteine deubiquitinase inhibitor b-AP15 suppresses migration and induces apoptosis in diffuse large B cell lymphoma. J Exp Clin Cancer Res 2019; 38:453. [PMID: 31694672 PMCID: PMC6836452 DOI: 10.1186/s13046-019-1446-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 10/13/2019] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The first line therapy for patients with diffuse large B cell (DLBCL) is R-CHOP. About half of DLBCL patients are either refractory to, or will relapse, after the treatment. Therefore, identifying novel drug targets and effective therapeutic agents is urgently needed for improving DLBCL patient survival. b-AP15, a selective small molecule inhibitor of proteasomal USP14 and UCHL5 deubiquitinases (DUBs), has shown selectivity and efficacy in several other types of cancer cells. This is the first study to report the effect of b-AP15 in DLBCL. METHODS Cell lines of two DLBCL subtypes, Germinal Center B Cell/ GCB (SU-DHL-4, OCI-LY-1, OCI-LY-19) and Activated B Cell/ABC (SU-DHL-2), were used in the current study. Cell viability was measured by MTS assay, proliferation by trypan blue exclusion staining assay, cellular apoptosis by Annexin V-FITC/PI staining and mitochondrial outer membrane permeability assays, the activities of 20S proteasome peptidases by cleavage of specific fluorogenic substrates, and cell migration was detected by transwell assay in these GCB- and ABC-DLBCL cell lines. Mouse xenograft models of SU-DHL-4 and SU-DHL-2 cells were used to determine in vivo effects of b-AP15 in DLBCL tumors. RESULTS b-AP15 inhibited proteasome DUB activities and activated cell death pathway, as evident by caspase activation and mitochondria apoptosis in GCB- and ABC- DLBCL cell lines. b-AP15 treatment suppressed migration of GCB- and ABC-DLBCL cells via inhibiting Wnt/β-catenin and TGFβ/Smad pathways. Additionally, b-AP15 significantly inhibited the growth of GCB- and ABC DLBCL in xenograft models. CONCLUSIONS These results indicate that b-AP15 inhibits cell migration and induces apoptosis in GCB- and ABC-DLBCL cells, and suggest that inhibition of 19S proteasomal DUB should be a novel strategy for DLBCL treatment.
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Affiliation(s)
- Liling Jiang
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Yuening Sun
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Jinxiang Wang
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Qingyan He
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Xinmei Chen
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Xiaoying Lan
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Jinghong Chen
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Q. Ping Dou
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
- The Molecular Therapeutics Program, Barbara Ann Karmanos Cancer Institute, and Departments of Oncology, Pharmacology and Pathology, School of Medicine, Wayne State University, Detroit, MI USA
| | - Xianping Shi
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
- Sino-French Hoffmann institute, Guangzhou Medical University, Guangzhou, China
| | - Jinbao Liu
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of RespiratoryDisease, School of Basic Medical Science, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
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