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Zhuang K, Zhang Y, Mo P, Deng L, Jiang Y, Yu L, Mei F, Huang S, Chen X, Yan Y, Tang H, Li X, Xiong Y, Wu S, Ke H, Gui X, Lan K. Plasma proteomic analysis reveals altered protein abundances in HIV-infected patients with or without Non-Hodgkin Lymphoma. J Med Virol 2022; 94:3876-3889. [PMID: 35415847 DOI: 10.1002/jmv.27775] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/08/2022] [Accepted: 04/10/2022] [Indexed: 11/07/2022]
Abstract
The identification of circulating proteins associated with acquired immunodeficiency syndrome-related non-Hodgkin lymphoma (AIDS-NHL) may help in the development of promising biomarkers for screening, diagnosis, treatment and prognosis. Here, we used quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify differentially expressed proteins (DEPs) in plasma collected from patients with AIDS-NHL and human immunodeficiency virus (HIV)-infected patients without NHL (HIV+ ). Proteins with a log2 (fold change) in abundance >0.26 and p value less than 0.05 (p < 0.05) were considered differentially abundant. In total, 84 DEPs were identified, among which 20 were further validated as potential biomarkers, with immunoglobulin and complement components being the most common proteins. Some of the proteins were further verified in a retrospective analysis of the medical records of patients in a larger cohort. These markedly altered proteins were found to mediate pathophysiological pathways that likely contribute to AIDS-NHL pathogenesis, such as the humoral immune response, complement activation, and complement and coagulation cascades. Our findings provide a new molecular understanding of AIDS-NHL pathogenesis and provide new evidence supporting the identification of these proteins as possible biomarkers in AIDS-NHL. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Ke Zhuang
- ABSL-III Laboratory at the Center for Animal Experiment, State Key Laboratory of Virology, Wuhan University, Wuhan, Hubei, China
| | - Yongxi Zhang
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Pingzheng Mo
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Liping Deng
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yong Jiang
- State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, Hubei, P. R. China
| | - Lei Yu
- State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, Hubei, P. R. China
| | - Fanghua Mei
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China
| | - Shaoxin Huang
- SpecAlly Life Technology Co., Ltd., Wuhan, Hubei, China
| | - Xi Chen
- SpecAlly Life Technology Co., Ltd., Wuhan, Hubei, China
| | - Yajun Yan
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Hongbin Tang
- ABSL-III Laboratory at the Center for Animal Experiment, State Key Laboratory of Virology, Wuhan University, Wuhan, Hubei, China
| | - Xiangdong Li
- ABSL-III Laboratory at the Center for Animal Experiment, State Key Laboratory of Virology, Wuhan University, Wuhan, Hubei, China
| | - Yong Xiong
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Shuwen Wu
- State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, Hubei, P. R. China
| | - Hengning Ke
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xien Gui
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ke Lan
- ABSL-III Laboratory at the Center for Animal Experiment, State Key Laboratory of Virology, Wuhan University, Wuhan, Hubei, China.,State Key Laboratory of Virology, Modern Virology Research Center, College of Life Sciences, Wuhan University, Wuhan, Hubei, P. R. China
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2
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Stachowicz-Stencel T, Synakiewicz A. Biomarkers for pediatric cancer detection: latest advances and future perspectives. Biomark Med 2020; 14:391-400. [PMID: 32270691 DOI: 10.2217/bmm-2019-0613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Cancer is one of the major health problems of the modern world. With the development of novel biochemistry and analytical instrumentation, precancer diagnosis has become a major focus of clinical and preclinical research. Finding appropriate biomarkers is crucial to make an early diagnosis, before the disease fully develops. With the improvement of precancer studies, cancer biomarkers prove their usefulness in providing important data on the cancer type and the status of patients' progression at a very early stage of the disease. Due to the constant evolution of pediatric cancer diagnosis, which includes highly advanced molecular techniques, the authors have decided to focus on selected groups of neoplastic disease and these include brain tumors, neuroblastoma, osteosarcoma and Hodgkin lymphoma.
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Affiliation(s)
- Teresa Stachowicz-Stencel
- Department of Pediatrics, Hematology & Oncology, Medical University of Gdansk, Poland 7 Debinki Street, 80-952 Gdansk, Poland
| | - Anna Synakiewicz
- Department of Pediatrics, Hematology & Oncology, Medical University of Gdansk, Poland 7 Debinki Street, 80-952 Gdansk, Poland
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Proteomic Profiles and Biological Processes of Relapsed vs. Non-Relapsed Pediatric Hodgkin Lymphoma. Int J Mol Sci 2020; 21:ijms21062185. [PMID: 32235718 PMCID: PMC7139997 DOI: 10.3390/ijms21062185] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 03/19/2020] [Indexed: 12/12/2022] Open
Abstract
The identification of circulating proteins associated with relapse in pediatric Hodgkin lymphoma (HL) may help develop predictive biomarkers. We previously identified a set of predictive biomarkers by difference gel electrophoresis. Here we used label-free quantitative liquid chromatography-mass spectrometry (LC-MS/MS) on plasma collected at diagnosis from 12 children (age 12–16 years) with nodular sclerosis HL, including six in whom the disease relapsed within 5 years of treatment in the LH2004 trial. Plasma proteins were pooled in groups of three, separately for non-relapsing and relapsing HL, and differentially abundant proteins between the two disease states were identified by LC-MS/MS in an explorative and validation design. Proteins with a fold change in abundance >1.2 or ≤0.8 were considered “differentially abundant”. LC-MS/MS identified 60 and 32 proteins that were more abundant in non-relapsing and relapsing HL plasma, respectively, in the explorative phase; these numbers were 39 and 34 in the validation phase. In both analyses, 11 proteins were more abundant in non-relapsing HL (e.g., angiotensinogen, serum paraoxonase/arylesterase 1, transthyretin), including two previously identified by difference gel electrophoresis (antithrombin III and α-1-antitrypsin); seven proteins were more abundant in relapsing HL (e.g., fibronectin and thrombospondin-1), including two previously identified proteins (fibrinogen β and γ chains). The differentially abundant proteins participated in numerous biological processes, which were manually grouped into 10 biological classes and 11 biological regulatory subclasses. The biological class Lipid metabolism, and its regulatory subclass, included angiotensinogen and serum paraoxonase/arylesterase 1 (more abundant in non-relapsing HL). The biological classes Immune system and Cell and extracellular matrix architecture included fibronectin and thrombospondin-1 (more abundant in relapsing HL). These findings deepen our understanding of the molecular scenario underlying responses to therapy and provide new evidence about these proteins as possible biomarkers of relapse in pediatric HL.
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Repetto O, Mussolin L, Elia C, Martina L, Bianchi M, Buffardi S, Sala A, Burnelli R, Mascarin M, De Re V. Proteomic Identification of Plasma Biomarkers in Children and Adolescents with Recurrent Hodgkin Lymphoma. J Cancer 2018; 9:4650-4658. [PMID: 30588249 PMCID: PMC6299395 DOI: 10.7150/jca.27560] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 08/26/2018] [Indexed: 12/13/2022] Open
Abstract
The treatment of paediatric Hodgkin lymphoma (HL) has steadily improved over the years, so that 10- years survival exceed 80%. The purpose of this study was to identify prognostic markers for relapsed HL that might contribute to optimize therapeutic approaches. To this aim we retrospectively analysed differential protein expression profiles obtained from plasma of children/adolescents with HL (age ranging from 10 to 18 years) collected at diagnosis. We examined the protein profiles of 15 HL relapsed (R) patients compared with 14 HL not relapsed (NR) patients treated with the same LH-2004 protocol. Two dimensional difference in gel electrophoresis (2D-DIGE) revealed significant differences (fold change > 1.5; Student's T-test p<0.01) between R and NR patients in 10 proteins: α-1-antitrypsin chain a, apolipoprotein A-IV precursor; inter-α-trypsin inhibitor heavy chain; antithrombin-III; vitronectin; fibrinogen α, β and γ chains, complement C3, and ceruloplasmin. An up-regulation of fibrinogen α (spots 78, 196, 230, 234, 239) and β (spots 98, 291, 296, 300) chains together with a lower level of α-1-antitrypsin (spots 255, 264, 266, 272, 273) were found in R patients, and this difference was validated by immunoblotting. The functional role(s) of these proteins in the coagulation and inflammation associated with paediatric/adolescent HL progression and relapse deserves further investigations.
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Affiliation(s)
- Ombretta Repetto
- Facility of Bio-Proteomics, Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Lara Mussolin
- Clinic of Pediatric Haemato-Oncology, Department of Women's and Children's Health, University of Padua, Padua, Institute of Paediatric Research - Fondazione Città della Speranza, Padua, Italy
| | - Caterina Elia
- Pediatric Radioterapy Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Lia Martina
- Facility of Bio-Proteomics, Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Maurizio Bianchi
- Pediatric Onco-Hematology and Stem Cell Transplant Division, City of Health and Science, Regina Margherita Children's Hospital, Turin, Italy
| | - Salvatore Buffardi
- Paediatric Haemato-Oncology department, Santobono-Pausilipon Children's Hospital, Napoli, Italy
| | - Alessandra Sala
- Department of Paediatrics, Ospedale San Gerardo, University of Milano-Bicocca, Fondazione MBBM, Monza, Italy
| | - Roberta Burnelli
- Pediatric Oncology University Hospital, Sant'Anna Hospital, Ferrara, Italy
| | - Maurizio Mascarin
- Pediatric Radioterapy Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Valli De Re
- Facility of Bio-Proteomics, Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
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Zheng W, Song Y, Xie Y, Lin N, Tu M, Liu W, Ping L, Ying Z, Zhang C, Deng L, Wang X, Lu Y, Zhu J. Cerebrospinal Fluid Proteins Identification Facilitates the Differential Diagnosis of Central Nervous System Diffuse Large B Cell Lymphoma. J Cancer 2017; 8:3631-3640. [PMID: 29151949 PMCID: PMC5687180 DOI: 10.7150/jca.20267] [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] [Received: 03/26/2017] [Accepted: 08/06/2017] [Indexed: 11/05/2022] Open
Abstract
Background: Diagnosis of central nervous system (CNS) lymphoma remains a challenge. This study aimed to identify cerebrospinal fluid (CSF) proteins that distinguish patients with and without CNS lymphoma. Methods: We used one-dimensional SDS-polyacrylamide gel electrophoresis coupled with liquid chromatography- electrospray ionization-quadrupole-time of flight-mass spectrometry (LC-ESI-Q-TOF MS) to identify CSF proteins in CNS diffuse large B cell lymphoma (DLBCL) patients and controls. Results: Approximately 166 CSF proteins were identified, 12 for the first time in the CSF of lymphoma patients. Three proteins with significantly increased expression in CNS lymphoma patients compared with controls - haemopexin, apolipoprotein A1, and transferrin were verified by immunohistochemistry, and found to be strongly expressed in CNS DLBCL and nodal DLBCL. These proteins were found to be localized in the cytoplasm of a human DLBCL cell line by indirect immunofluorescence. ELISA confirmed expression at higher concentrations in the CSF of CNS lymphoma patients. CSF haemopexin, apolipoprotein A1, and transferrin concentrations were detected in CNS lymphoma patients and had diagnostic sensitivities of 80%, 83%, and 70%, and specificities of 75%, 89%, and 90%, respectively. Conclusion: Our study suggests that CSF proteins may be potential diagnostic biomarker for CNS lymphoma, especially for patients in which imaging and cytology do not provide a clear diagnosis.
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Affiliation(s)
- Wen Zheng
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - YuQin Song
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - Yan Xie
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - NingJing Lin
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - MeiFeng Tu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - WeiPing Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - LingYan Ping
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - ZhiTao Ying
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - Chen Zhang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - LiJuan Deng
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - XiaoPei Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - YouYong Lu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
| | - Jun Zhu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute. No. 52 Fucheng Road, Haidian District Beijing 100142, China
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6
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Innao V, Allegra A, Russo S, Gerace D, Vaddinelli D, Alonci A, Allegra AG, Musolino C. Standardisation of minimal residual disease in multiple myeloma. Eur J Cancer Care (Engl) 2017; 26. [PMID: 28671297 DOI: 10.1111/ecc.12732] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2017] [Indexed: 12/16/2022]
Abstract
The assessment of the effectiveness of chemotherapy in oncology cannot disregard the concept of minimal residual disease (MRD). In fact, the efforts of numerous scientific groups all over the world are currently focusing on this issue, with the sole purpose of defining sensitive, effective assessment criteria that are, above all, able to give acceptable, easily repeatable results worldwide. Regarding this issue, especially with the advent of new drugs, multiple myeloma is one of the haematologic malignancies for which a consensus has not yet been reached. In this review, we analyse various techniques that have been used to improve the sensitivity of response, aimed at reducing the cut-off values previously allowed, as well as serological values like serum-free light chain, or immunophenotypic tools on bone marrow or peripheral blood, like multi-parameter flow cytometry, or molecular ones such as allele-specific oligonucleotide (ASO)-qPCR and next-generation/high-throughput sequencing technologies (NGS). Moreover, our discussion makes a brief reference to promising techniques, such as mass spectrometry for identifying Ig light chain (LC) in peripheral blood, and the assessment of gene expression profile not only in defining prognostic risk at the diagnosis but also as a tool for evaluation of response.
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Affiliation(s)
- V Innao
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - A Allegra
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - S Russo
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - D Gerace
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - D Vaddinelli
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - A Alonci
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - A G Allegra
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - C Musolino
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
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Nagpal P, Akl MR, Ayoub NM, Tomiyama T, Cousins T, Tai B, Carroll N, Nyrenda T, Bhattacharyya P, Harris MB, Goy A, Pecora A, Suh KS. Pediatric Hodgkin lymphoma: biomarkers, drugs, and clinical trials for translational science and medicine. Oncotarget 2016; 7:67551-67573. [PMID: 27563824 PMCID: PMC5341896 DOI: 10.18632/oncotarget.11509] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 08/18/2016] [Indexed: 01/09/2023] Open
Abstract
Hodgkin lymphoma (HL) is a lymphoid malignancy that is typically derived from germinal-center B cells. EBV infection, mutations in NF-κB pathway genes, and genetic susceptibility are known risk factors for developing HL. CD30 and NF-κB have been identified as potential biomarkers in pediatric HL patients, and these molecules may represent therapeutic targets. Although current risk adapted and response based treatment approaches yield overall survival rates of >95%, treatment of relapse or refractory patients remains challenging. Targeted HL therapy with the antibody-drug conjugate Brentuximab vedotin (Bv) has proven to be superior to conventional salvage chemotherapy and clinical trials are being conducted to incorporate Bv into frontline therapy that substitutes Bv for alkylating agents to minimize secondary malignancies. The appearance of secondary malignancies has been a concern in pediatric HL, as these patients are at highest risk among all childhood cancer survivors. The risk of developing secondary leukemia following childhood HL treatment is 10.4 to 174.8 times greater than the risk in the general pediatric population and the prognosis is significantly poorer than the other hematological malignancies with a mortality rate of nearly 100%. Therefore, identifying clinically valuable biomarkers is of utmost importance to stratify and select patients who may or may not need intensive regimens to maintain optimal balance between maximal survival rates and averting late effects. Here we discuss epidemiology, risk factors, staging, molecular and genetic prognostic biomarkers, treatment for low and high-risk patients, and the late occurrence of secondary malignancies in pediatric HL.
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Affiliation(s)
- Poonam Nagpal
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Mohamed R. Akl
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Nehad M. Ayoub
- Department of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan
| | - Tatsunari Tomiyama
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Tasheka Cousins
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Betty Tai
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Nicole Carroll
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Themba Nyrenda
- Department of Research, Hackensack University Medical Center, Hackensack, NJ, USA
| | | | - Michael B. Harris
- Department of Pediatrics, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Andre Goy
- Clinical Divisions, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Andrew Pecora
- Clinical Divisions, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - K. Stephen Suh
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
- Department of Research, Hackensack University Medical Center, Hackensack, NJ, USA
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8
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Riby J, Mobley J, Zhang J, Bracci PM, Skibola CF. Serum protein profiling in diffuse large B-cell lymphoma. Proteomics Clin Appl 2016; 10:1113-1121. [PMID: 27557634 DOI: 10.1002/prca.201600074] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 07/20/2016] [Accepted: 08/22/2016] [Indexed: 01/23/2023]
Abstract
PURPOSE The aim of this pilot study was to conduct a nontargeted exploratory proteomics profiling analysis on sera obtained from patients diagnosed with diffuse large B-cell lymphoma (DLBCL) with the goal of identifying disease-specific biomarkers. EXPERIMENTAL DESIGN Sera from 87 participants (57 chemotherapy-naïve diffuse DLBCL patients, 30 controls frequency-matched by age group and World Health Organization (WHO) BMI categories) that were part of a large San Francisco Bay Area case-control study of non-Hodgkin lymphoma were analyzed by liquid chromatography combined with tandem mass spectrometry. RESULTS Thirty-five proteins (p-adjusted <0.05) were identified as differentially abundant between the DLBCL patients at various disease stages as compared to the controls. Of these, five proteins were randomly selected for further confirmation by ELISA: adiponectin (AdipoQ), cluster of differentiation 14 (CD14), heparin sulfate proteoglycan core protein (HSPG2), extracellular matrix 1 (ECM1), and alpha-1-antichymotrypsin (ACT). These proteins were statistically significantly elevated by 68.8, 37.0, 61.6, 68.0, and 32.0%, respectively, in DLBCL patient sera as compared to controls. CONCLUSION AND CLINICAL RELEVANCE These preliminary data when combined with other cancer-related data regarding these proteins warrant continued research in clinical and large prospective studies to clarify the role for these biomarkers in DLBCL pathogenesis and/or prognosis.
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Affiliation(s)
- Jacques Riby
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Epidemiology, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James Mobley
- Department of Epidemiology, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jianqing Zhang
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Epidemiology, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
| | - Christine F Skibola
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Epidemiology, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
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9
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Ludvigsen M, Hamilton-Dutoit SJ, d’Amore F, Honoré B. Proteomic approaches to the study of malignant lymphoma: Analyses on patient samples. Proteomics Clin Appl 2015; 9:72-85. [DOI: 10.1002/prca.201400145] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 11/30/2014] [Accepted: 12/10/2014] [Indexed: 12/12/2022]
Affiliation(s)
- Maja Ludvigsen
- Department of Biomedicine; Aarhus University; Aarhus Denmark
| | | | | | - Bent Honoré
- Department of Biomedicine; Aarhus University; Aarhus Denmark
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10
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Demir E, Yılmaz B, Gunduz M, Gunduz E. Biomarkers in Hodgkin’s Lymphoma. Cancer Biomark 2014. [DOI: 10.1201/b16389-38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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11
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Kelly KM, Hodgson D, Appel B, Chen L, Cole PD, Horton T, Keller FG. Children's Oncology Group's 2013 blueprint for research: Hodgkin lymphoma. Pediatr Blood Cancer 2013; 60:972-8. [PMID: 23255501 DOI: 10.1002/pbc.24423] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2012] [Accepted: 11/07/2012] [Indexed: 02/01/2023]
Abstract
In childhood Hodgkin lymphoma, estimated 5 years survival rates exceed 90%. Long-term survival continues to decline from delayed toxicities. Key findings from recent Children's Oncology Group trials include: (1) Radiotherapy selection may be based on early chemotherapy response assessed by both FDG-PET and CT imaging, (2) A new prognostic factor score stratifies patients into risk categories; and (3) novel retrieval regimens were identified. A phase I/II trial is investigating Brentuximab vedotin (Bv) with gemcitabine in relapsed patients. A phase 3 trial will modify conventional chemotherapy and radiotherapy approaches through the addition of Bv, while incorporating translational biology to identify molecular targets.
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Affiliation(s)
- Kara M Kelly
- Division of Pediatric Hematology, Oncology, Stem Cell Transplantation, Columbia University Medical Center, New York, NY 10032, USA.
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12
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13
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Jansen C, Feuth T, Raemaekers JMM, Rijntjes J, Meijer JW, Westenend PJ, van Baarlen J, van Krieken JHJM, Hebeda KM, Groenen PJTA. Protein profiling in pathology: analysis and evaluation of 239 frozen tissue biopsies for diagnosis of B-cell lymphomas. Proteomics Clin Appl 2010; 4:519-27. [PMID: 21137069 DOI: 10.1002/prca.200900120] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2009] [Revised: 11/27/2009] [Accepted: 12/03/2009] [Indexed: 11/09/2022]
Abstract
PURPOSE We determined the potential value of protein profiling of tissue samples by assessing how precise this approach enables discrimination of B-cell lymphoma from reactive lymph nodes, and how well the profiles can be used for lymphoma classification. EXPERIMENTAL DESIGN Protein lysates from lymph nodes (n=239) from patients with the diagnosis of reactive hyperplasia (n=44), follicular lymphoma (n=63), diffuse large B-cell lymphoma (n=43), mantle cell lymphoma (n=47), and chronic lymphocytic leukemia/small lymphocytic B-cell lymphoma (n=42) were analysed by SELDI-TOF MS. Data analysis was performed by (i) classification and regression tree-based analysis and (ii) binary and polytomous logistic regression analysis. RESULTS After internal validation by the leave-one-out principle, both the classification and regression tree and logistic regression classification correctly identified the majority of the malignant (87 and 96%, respectively) and benign cases (73 and 75%, respectively). Classification was less successful since approximately one-third of the cases of each group were misclassified according to the histological classification. However, an additional mantle cell lymphoma case that was misclassified as chronic lymphocytic leukemia/small lymphocytic B-cell lymphoma initially was identified based on the protein profile. CONCLUSIONS AND CLINICAL RELEVANCE SELDI-TOF MS protein profiling allows for reliable identification of the majority of malignant lymphoma cases; however, further validation and testing robustness in a diagnostic setting is needed.
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Affiliation(s)
- Corine Jansen
- Department of Pathology, Radboud University Nijmegen Medical Centre, The Netherlands
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