1
|
Tang J, Luo L, Bosco B, Li N, Huang B, Wu R, Lin Z, Hong M, Liu W, Wu L, Wu W, Zhu M, Liu Q, Xia P, Yu M, Yao D, Lv S, Zhang R, Liu W, Wang Q, Li K. Identification of cell surface markers for acute myeloid leukemia prognosis based on multi-model analysis. J Biomed Res 2024; 38:397-412. [PMID: 38807380 PMCID: PMC11300515 DOI: 10.7555/jbr.38.20240065] [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: 03/18/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 05/30/2024] Open
Abstract
Given the extremely high inter-patient heterogeneity of acute myeloid leukemia (AML), the identification of biomarkers for prognostic assessment and therapeutic guidance is critical. Cell surface markers (CSMs) have been shown to play an important role in AML leukemogenesis and progression. In the current study, we evaluated the prognostic potential of all human CSMs in 130 AML patients from The Cancer Genome Atlas (TCGA) based on differential gene expression analysis and univariable Cox proportional hazards regression analysis. By using multi-model analysis, including Adaptive LASSO regression, LASSO regression, and Elastic Net, we constructed a 9-CSMs prognostic model for risk stratification of the AML patients. The predictive value of the 9-CSMs risk score was further validated at the transcriptome and proteome levels. Multivariable Cox regression analysis showed that the risk score was an independent prognostic factor for the AML patients. The AML patients with high 9-CSMs risk scores had a shorter overall and event-free survival time than those with low scores. Notably, single-cell RNA-sequencing analysis indicated that patients with high 9-CSMs risk scores exhibited chemotherapy resistance. Furthermore, PI3K inhibitors were identified as potential treatments for these high-risk patients. In conclusion, we constructed a 9-CSMs prognostic model that served as an independent prognostic factor for the survival of AML patients and held the potential for guiding drug therapy.
Collapse
Affiliation(s)
- Jiaqi Tang
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Hematology of the Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Northern Jiangsu Institute of Clinical Medicine, Huai'an, Jiangsu 223300, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Lin Luo
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Hematology of the Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Northern Jiangsu Institute of Clinical Medicine, Huai'an, Jiangsu 223300, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Bakwatanisa Bosco
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Ning Li
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Bin Huang
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Rongrong Wu
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Zihan Lin
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Ming Hong
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Wenjie Liu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Lingxiang Wu
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Wei Wu
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Mengyan Zhu
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Quanzhong Liu
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Peng Xia
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Miao Yu
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Diru Yao
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Sali Lv
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Ruohan Zhang
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Wentao Liu
- Department of Pharmacology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Qianghu Wang
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, Jiangsu 210002, China
| | - Kening Li
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Hematology of the Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Northern Jiangsu Institute of Clinical Medicine, Huai'an, Jiangsu 223300, China
| |
Collapse
|
2
|
Do JS, Arribas-Layton D, Juan J, Garcia I, Saraswathy S, Qi M, Montero E, Reijonen H. The CD318/CD6 axis limits type 1 diabetes islet autoantigen-specific human T cell activation. J Autoimmun 2024; 146:103228. [PMID: 38642507 DOI: 10.1016/j.jaut.2024.103228] [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: 11/20/2023] [Revised: 03/12/2024] [Accepted: 04/09/2024] [Indexed: 04/22/2024]
Abstract
CD6 is a glycoprotein expressed on CD4 and CD8 T cells involved in immunoregulation. CD318 has been identified as a CD6 ligand. The role of CD318 in T cell immunity is restricted as it has only been investigated in a few mice autoimmune models but not in human diseases. CD318 expression was thought to be limited to mesenchymal-epithelial cells and, therefore, contribute to CD6-mediated T cell activation in the CD318-expressing tissue rather than through interaction with antigen-presenting cells. Here, we report CD318 expression in a subpopulation of CD318+ myeloid dendritic (mDC), whereas the other peripheral blood populations were CD318 negative. However, CD318 can be induced by activation: a subset of monocytes treated with LPS and IFNγ and in vitro monocyte derived DCs were CD318+. We also showed that recombinant CD318 inhibited T cell function. Strikingly, CD318+ DCs suppressed the proliferation of autoreactive T cells specific for GAD65, a well-known targeted self-antigen in Type 1 Diabetes (T1D). Our study provides new insight into the role of the CD318/CD6 axis in the immunopathogenesis of inflammation, suggesting a novel immunoregulatory role of CD318 in T cell-mediated autoimmune diseases and identifying a potential novel immune checkpoint inhibitor as a target for intervention in T1D which is an unmet therapeutic need.
Collapse
Affiliation(s)
- Jeong-Su Do
- Department of Immunology and Theranostics, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA.
| | - David Arribas-Layton
- Department of Immunology and Theranostics, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - Jemily Juan
- Department of Molecular and Cellular Endocrinology, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - Isaac Garcia
- Department of Molecular and Cellular Endocrinology, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - Sindhu Saraswathy
- Department of Molecular and Cellular Endocrinology, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - Meirigeng Qi
- Department of Translational Research and Cellular Therapeutics, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - Enrique Montero
- Department of Molecular and Cellular Endocrinology, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - Helena Reijonen
- Department of Immunology and Theranostics, Canada; Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, California, USA.
| |
Collapse
|
3
|
Stefańczyk SA, Hagelstein I, Lutz MS, Müller S, Holzmayer SJ, Jarjour G, Zekri L, Heitmann JS, Salih HR, Märklin M. Induction of NK cell reactivity against acute myeloid leukemia by Fc-optimized CD276 (B7-H3) antibody. Blood Cancer J 2024; 14:67. [PMID: 38637557 PMCID: PMC11026476 DOI: 10.1038/s41408-024-01050-6] [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: 02/26/2024] [Revised: 03/25/2024] [Accepted: 04/03/2024] [Indexed: 04/20/2024] Open
Abstract
Acute myeloid leukemia (AML) remains a therapeutic challenge despite recent therapeutic advances. Although monoclonal antibodies (mAbs) engaging natural killer (NK) cells via antibody-dependent cellular cytotoxicity (ADCC) hold promise in cancer therapy, almost none have received clinical approval for AML, so far. Recently, CD276 (B7-H3) has emerged as a promising target for AML immunotherapy, due to its high expression on leukemic blasts of AML patients. Here, we present the preclinical development of the Fc-optimized CD276 mAb 8H8_SDIE with enhanced CD16 affinity. We demonstrate that 8H8_SDIE specifically binds to CD276 on AML cell lines and primary AML cells and induces pronounced NK cell activation and degranulation as measured by CD69, CD25, and CD107a. Secretion of IFNγ, TNF, granzyme B, granulysin, and perforin, which mediate NK cell effector functions, was induced by 8H8_SDIE. A pronounced target cell-restricted lysis of AML cell lines and primary AML cells was observed in cytotoxicity assays using 8H8_SDIE. Finally, xenograft models with 8H8_SDIE did not cause off-target immune activation and effectively inhibited leukemia growth in vivo. We here present a novel attractive immunotherapeutic compound that potently induces anti-leukemic NK cell reactivity in vitro and in vivo as treatment option for AML.
Collapse
Affiliation(s)
- Sylwia A Stefańczyk
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Ilona Hagelstein
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Martina S Lutz
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Stefanie Müller
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Samuel J Holzmayer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Grace Jarjour
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Latifa Zekri
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Jonas S Heitmann
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Helmut R Salih
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Melanie Märklin
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital of Tübingen, Tübingen, Germany.
- Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University of Tübingen, Tübingen, Germany.
| |
Collapse
|
4
|
Kong L, Xu F, Yao Y, Gao Z, Tian P, Zhuang S, Wu D, Li T, Cai Y, Li J. Ascites-derived CDCP1+ extracellular vesicles subcluster as a novel biomarker and therapeutic target for ovarian cancer. Front Oncol 2023; 13:1142755. [PMID: 37469398 PMCID: PMC10352483 DOI: 10.3389/fonc.2023.1142755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 06/13/2023] [Indexed: 07/21/2023] Open
Abstract
Introduction Ovarian cancer (OVCA) is one of the most prevalent malignant tumors of the female reproductive system, and its diagnosis is typically accompanied by the production of ascites. Although liquid biopsy has been widely implemented recently, the diagnosis or prognosis of OVCA based on liquid biopsy remains the primary emphasis. Methods In this study, using proximity barcoding assay, a technique for analyzing the surface proteins on single extracellular vesicles (EVs). For validation, serum and ascites samples from patients with epithelial ovarian cancer (EOC) were collected, and their levels of CDCP1 was determined by enzyme-linked immunosorbent assay. Tissue chips were prepared to analyze the relationship between different expression levels of CDCP1 and the prognosis of ovarian cancer patients. Results We discovered that the CUB domain-containing protein 1+ (CDCP1+) EVs subcluster was higher in the ascites of OVCA patients compared to benign ascites. At the same time, the level of CDCP1 was considerably elevated in the ascites of OVCA patients. The overall survival and disease-free survival of the group with high CDCP1 expression in EOC were significantly lower than those of the group with low expression. In addition, the receiver operating characteristic curve demonstrates that EVs-derived CDCP1 was a biomarker of early response in OVCA ascites. Discussion Our findings identified a CDCP1+ EVs subcluster in the ascites of OVCA patients as a possible biomarker for EOC prevention.
Collapse
Affiliation(s)
- Lingnan Kong
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Pathology, Zibo Central Hospital, Zibo, China
| | - Famei Xu
- Department of Pathology, Zibo Central Hospital, Zibo, China
| | - Yukuan Yao
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Pathology, Zibo Central Hospital, Zibo, China
| | - Zhihui Gao
- Department of Pathology, Zibo Central Hospital, Zibo, China
| | - Peng Tian
- Department of Ultrasonic, Zibo Central Hospital, Zibo, China
| | - Shichao Zhuang
- Department of Gynecology, Zibo Central Hospital, Zibo, China
| | - Di Wu
- Department of R&D, Shenzhen SecreTech Co., Ltd., Shenzhen, China
- Department of R&D, Vesicode AB, Solna, Sweden
| | - Tangyue Li
- Department of Pathology, Zibo Central Hospital, Zibo, China
| | - Yanling Cai
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, China
| | - Jing Li
- Department of Pathology, Zibo Central Hospital, Zibo, China
| |
Collapse
|
5
|
CDCP1 expression is frequently increased in aggressive urothelial carcinoma and promotes urothelial tumor progression. Sci Rep 2023; 13:73. [PMID: 36593286 PMCID: PMC9807563 DOI: 10.1038/s41598-022-26579-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/16/2022] [Indexed: 01/03/2023] Open
Abstract
The prognosis of patients with advanced urothelial carcinoma (UC) remains poor and improving treatment continues to be a major medical need. CUB domain containing protein 1 (CDCP1) is a known oncogene in various types of solid cancers and its overexpression is associated with impaired prognosis. However, its role in UC remains undetermined. Here we assessed the clinical relevance of CDCP1 in two cohorts of UC at different stages of the disease. Immunohistochemistry showed that CDCP1 is highly expressed in advanced UC, which significantly correlates with shorter overall survival. Importantly, the basal/squamous UC subtype showed significantly enriched CDCP1 at the mRNA and protein levels. The functional role of CDCP1 overexpression was assessed taking advantage of ex vivo organoids derived from the CDCP1pcLSL/+ transgenic mouse model. Furthermore, CDCP1 knockout UC cell lines were generated using CRISPR/Cas9 technology. Interestingly, CDCP1 overexpression significantly induced the activation of MAPK/ERK pathways in ex vivo organoids and increased their proliferation. Similarly, CDCP1 knockout in UC cell lines reduced their proliferation and migration, concomitant with MAPK/ERK pathway activity reduction. Our results highlight the relevance of CDCP1 in advanced UC and demonstrate its oncogenic role, suggesting that targeting CDCP1 could be a rational therapeutic strategy for the treatment of advanced UC.
Collapse
|
6
|
Zhang W, Liu B, Wu S, Zhao L. TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia. Open Med (Wars) 2023; 18:20220602. [PMID: 37016705 PMCID: PMC10066874 DOI: 10.1515/med-2022-0602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 09/19/2022] [Accepted: 10/16/2022] [Indexed: 04/06/2023] Open
Abstract
Acute myeloid leukemia (AML) is classified into favorable-risk, intermediate-risk, and poor-risk subtypes. This study aimed to compare the serum proteomic signatures of the three AML subtypes and identify prognostic biomarkers for AML. Serum samples from patients with favorable-risk (n = 14), intermediate-risk (n = 19), and poor-risk AMLs (n = 18) were used for the analysis of tandem mass tag (TMT) labeling-based quantitative proteomics. Comparative analysis was performed to identify differentially expressed proteins (DEPs) between groups. Prognostic proteins were screened using binary logistics regression analysis. TMT-MS/MS proteomics analysis identified 138 DEPs. Fumarate hydratase (FH), isocitrate dehydrogenase 2 (IDH2), and enolase 1 (ENO1) were significantly upregulated in poor-risk patients compared with favorable-risk patients. ELISA assay confirmed that patients with poor-risk AMLs had higher levels of IDH2, ENO1, and FH compared with intermediate-risk AML patients. Logistics analysis identified that proteins 3-hydroxyacyl-CoA dehydrogenase type-2 (HADH, odds ratio (OR) = 1.035, p = 0.010), glutamine synthetase (GLUL, OR = 1.022, p = 0.039), and lactotransferrin (LTF, OR = 1.1224, p = 0.016) were associated with poor prognosis, and proteins ENO1 (OR = 1.154, p = 0.053), FH (OR = 1.043, p = 0.059), and IDH2 (OR = 3.350, p = 0.055) were associated with AML prognosis. This study showed that AML patients had elevated levels of FH, IDH2, ENO1, LTF, and GLUL proteins and might be at high risk of poor prognosis.
Collapse
Affiliation(s)
- Wei Zhang
- Department of Central Laboratory, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Bei Liu
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Shiwen Wu
- Department of Laboratory Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Li Zhao
- Department of Central Laboratory, The First Hospital of Lanzhou University, #1 Donggang West Road, Lanzhou 730000, Gansu Province, China
| |
Collapse
|
7
|
Dendritic Cell-Triggered Immune Activation Goes along with Provision of (Leukemia-Specific) Integrin Beta 7-Expressing Immune Cells and Improved Antileukemic Processes. Int J Mol Sci 2022; 24:ijms24010463. [PMID: 36613907 PMCID: PMC9820538 DOI: 10.3390/ijms24010463] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 12/29/2022] Open
Abstract
Integrin beta 7 (β7), a subunit of the integrin receptor, is expressed on the surface of immune cells and mediates cell-cell adhesions and interactions, e.g., antitumor or autoimmune reactions. Here, we analyzed, whether the stimulation of immune cells by dendritic cells (of leukemic derivation in AML patients or of monocyte derivation in healthy donors) leads to increased/leukemia-specific β7 expression in immune cells after T-cell-enriched mixed lymphocyte culture-finally leading to improved antileukemic cytotoxicity. Healthy, as well as AML and MDS patients' whole blood (WB) was treated with Kit-M (granulocyte-macrophage colony-stimulating factor (GM-CSF) + prostaglandin E1 (PGE1)) or Kit-I (GM-CSF + Picibanil) in order to generate DCs (DCleu or monocyte-derived DC), which were then used as stimulator cells in MLC. To quantify antigen/leukemia-specific/antileukemic functionality, a degranulation assay (DEG), an intracellular cytokine assay (INTCYT) and a cytotoxicity fluorolysis assay (CTX) were used. (Leukemia-specific) cell subtypes were quantified via flow cytometry. The Kit treatment of WB (compared to the control) resulted in the generation of DC/DCleu, which induced increased activation of innate and adaptive cells after MLC. Kit-pretreated WB (vs. the control) led to significantly increased frequencies of β7-expressing T-cells, degranulating and intracellular cytokine-producing β7-expressing immune cells and, in patients' samples, increased blast lysis. Positive correlations were found between the Kit-M-mediated improvement of blast lysis (vs. the control) and frequencies of β7-expressing T-cells. Our findings indicate that DC-based immune therapies might be able to specifically activate the immune system against blasts going along with increased frequencies of (leukemia-specific) β7-expressing immune cells. Furthermore, β7 might qualify as a predictor for the efficiency and the success of AML and/or MDS therapies.
Collapse
|
8
|
Sun R, Gao Y, Shen F. Identification of subtypes of hepatocellular carcinoma and screening of prognostic molecular diagnostic markers based on cell adhesion molecule related genes. Front Genet 2022; 13:1042540. [PMID: 36482887 PMCID: PMC9723242 DOI: 10.3389/fgene.2022.1042540] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/09/2022] [Indexed: 10/03/2023] Open
Abstract
Cell adhesion molecules can predict liver hepatocellular carcinoma (LIHC) metastasis and determine prognosis, while the mechanism of the role of cell adhesion molecules in LIHC needs to be further explored. LIHC-related expression data were sourced from The Cancer Genome Atlas (TCGA) and the gene expression omnibus (GEO) databases, and genes related to cell adhesion were sourced from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. First, the TCGA-LIHC dataset was clustered by the nonnegative matrix factorization (NMF) algorithm to find different subtypes of LIHC. Then the difference of prognosis and immune microenvironment between patients of different subtypes was evaluated. In addition, a prognostic risk model was obtained by least shrinkage and selection operator (LASSO) and Cox analysis, while a nomogram was drawn. Furthermore, functional enrichment analysis between high and low risk groups was conducted. Finally, the expressions of model genes were explored by quantitative real-time polymerase chain reaction (qRT-PCR). The 371 LIHC patients were classified into four subtypes by NMF clustering, and survival analysis revealed that disease-free survival (DFS) of these four subtypes were clearly different. Cancer-related pathways and immune microenvironment among these four subtypes were dysregulated. Moreover, 58 common differentially expressed genes (DEGs) between four subtypes were identified and were mainly associated with PPAR signaling pathway and amino acid metabolism. Furthermore, a prognostic model consisting of IGSF11, CD8A, ALCAM, CLDN6, JAM2, ITGB7, SDC3, CNTNAP1, and MPZ was built. A nomogram consisting of pathologic T and riskScore was built, and the calibration curve illustrated that the nomogram could better forecast LIHC prognosis. Gene Set Enrichment Analysis (GSEA) demonstrated that DEGs between high and low risk groups were mainly involved in cell cycle. Finally, the qRT-PCR illustrated the expressions of nine model genes between normal and LIHC tissue. A prognostic model consisting of IGSF11, CD8A, ALCAM, CLDN6, JAM2, ITGB7, SDC3, CNTNAP1, and MPZ was obtained, which provides an important reference for the molecular diagnosis of patient prognosis.
Collapse
Affiliation(s)
- Ruge Sun
- College of Medicine, Shanxi Medical University, Taiyuan, China
- Department of Gastroenterology and Hepatoloy, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yanchao Gao
- Department of Hepatobiliary Surgery, Liaocheng People’s Hospital, Liaocheng, China
| | - Fengjun Shen
- Department of Gastroenterology and Hepatoloy, The First Hospital of Shanxi Medical University, Taiyuan, China
| |
Collapse
|
9
|
Marconato M, Kauer J, Salih HR, Märklin M, Heitmann JS. Expression of the immune checkpoint modulator OX40 indicates poor survival in acute myeloid leukemia. Sci Rep 2022; 12:15856. [PMID: 36151238 PMCID: PMC9508266 DOI: 10.1038/s41598-022-19972-1] [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] [Accepted: 09/07/2022] [Indexed: 11/17/2022] Open
Abstract
Despite therapeutic advances, mortality of Acute Myeloid Leukemia (AML) is still high. Currently, the determination of prognosis which guides treatment decisions mainly relies on genetic markers. Besides molecular mechanisms, the ability of malignant cells to evade immune surveillance influences the disease outcome and, among others, the expression of checkpoints modulators contributes to this. In AML, functional expression of the checkpoint molecule OX40 was reported, but the prognostic relevance of OX40 and its ligand OX40L axis has so far not been investigated. Here we described expression and prognostic relevance of the checkpoint modulators OX40 and OX40L, analyzed on primary AML cells obtained from 92 therapy naïve patients. Substantial expression of OX40 and OX40L on AML blasts was detected in 29% and 32% of the investigated subjects, respectively, without correlation between the expression of the receptor and its ligand. Whereas OX40L expression was not associated with different survival, patients with high expression levels of the receptor (OX40high) on AML blasts survived significantly shorter than OX40low patients (p = 0.009, HR 0.46, 95% CI 0.24–0.86), which identifies OX40 as novel prognostic marker and a potential therapeutic target in AML patients.
Collapse
Affiliation(s)
- Maddalena Marconato
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,DFG Cluster of Excellence 2180 'Image-Guided and Functional Instructed Tumor Therapy' (IFIT), University of Tübingen, Tübingen, Germany
| | - Joseph Kauer
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,Department of Oncology and Hematology, University Clinic Heidelberg, Heidelberg, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Helmut R Salih
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,DFG Cluster of Excellence 2180 'Image-Guided and Functional Instructed Tumor Therapy' (IFIT), University of Tübingen, Tübingen, Germany
| | - Melanie Märklin
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany. .,DFG Cluster of Excellence 2180 'Image-Guided and Functional Instructed Tumor Therapy' (IFIT), University of Tübingen, Tübingen, Germany.
| | - Jonas S Heitmann
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,DFG Cluster of Excellence 2180 'Image-Guided and Functional Instructed Tumor Therapy' (IFIT), University of Tübingen, Tübingen, Germany
| |
Collapse
|
10
|
Targeting CDCP1 gene transcription coactivated by BRD4 and CBP/p300 in castration-resistant prostate cancer. Oncogene 2022; 41:3251-3262. [PMID: 35513563 DOI: 10.1038/s41388-022-02327-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 04/11/2022] [Accepted: 04/14/2022] [Indexed: 11/09/2022]
Abstract
CUB domain-containing protein 1 (CDCP1), a transmembrane protein with tumor pro-metastatic activity, is highly expressed in late-stage and castrate-resistant prostate cancer (CRPC). However, the molecular mechanism driving CDCP1 overexpression in CRPC progress remains elusive. Here we report that transcription cofactors BRD4 and CBP/p300 co-regulate transcriptional expression of CDCP1 in CRPC tumorigenesis. In contrast to androgen receptor (AR) in CRPC, increased expression of BRD4 and CBP/p300 is strongly correlated with CDCP1 gene amplification. Combined knockdown or dual-inhibition of BRD4 and CBP/p300 down-regulated CDCP1 transcription and downstream PI3K/AKT and/or SRC/MAPK signaling pathways in CRPC cells much more so than single-protein perturbation. Our biochemical and structural analyses further showed that NEO2734, a dual-inhibitor targeting BRD4 and p300 bromodomains exhibits greater efficacy than single inhibitors for BRD4 or CBP/p300 in suppressing CDCP1 transcriptional expression and its downstream signaling pathways in CRPC cell proliferation and metastasis. Our study illustrates that targeting CDCP1 through dual-inhibition of BRD4 and CBP/p300 represents a synergistic therapeutic strategy for new treatment of CRPC.
Collapse
|
11
|
CDCP1: A promising diagnostic biomarker and therapeutic target for human cancer. Life Sci 2022; 301:120600. [DOI: 10.1016/j.lfs.2022.120600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 12/25/2022]
|
12
|
Blocking FSTL1 boosts NK immunity in treatment of osteosarcoma. Cancer Lett 2022; 537:215690. [DOI: 10.1016/j.canlet.2022.215690] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/31/2022] [Accepted: 04/13/2022] [Indexed: 02/07/2023]
|
13
|
Ebian HF, Issa DR, Al-Karamany AS, Etewa RL, El Maghraby HM, Hussein S. Evaluation of CDCP1 (CD318) and endoglin (CD105) expression as prognostic markers in acute myeloid leukemia. Cancer Biomark 2021; 34:285-296. [DOI: 10.3233/cbm-210346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: The most commonly used prognostic factors in acute myeloid leukemia (AML) are cytogenetic, molecular, and morphological markers. However, AML prognosis is still unfavorable particularly in adults. So, further reliable markers are urgently needed to improve the risk stratification and treatment decisions. CUB domain-containing protein 1 (CDCP1; CD318) and endoglin (CD105) are new markers correlated with poor prognosis in different solid tumors, but their role in AML prognosis is not fully evaluated. OBJECTIVES: This work aimed to evaluate the prognostic role of CD318 and CD105 in AML and their impact on the outcomes. METHODS: Sixty-five newly diagnosed AML patients were included in this study. CD318 and CD105 expression was assessed by quantitative real-time polymerase chain reaction. Patients were followed up for ∼ 2 years to evaluate the prognostic impact of gene expression on the outcomes. RESULTS: Patients with high CD318 and CD105 showed higher white blood cell (WBC) count, M2 subtype, poor cytogenetic risk, reduced complete remission, and a greater number of deaths compared to low CD318 and CD105. CD318 was correlated with CD105, and both were correlated with WBC count, bone marrow blasts, and peripheral blood blasts. After a follow-up period of up to 24 months, relapse-free survival for high CD318 and CD105 was significantly different (42.1% and 52.6% vs. 64.5% and 58.1% for low CD318 and CD105, respectively). Survival was worse in patients with high CD318 and CD105, as the mean survival time was 13.9 and 13.3 months compared to 24 and 22.7 months in low CD318 and CD105, respectively. CONCLUSIONS: CD318 and CD105 are upregulated in AML patients. Their overexpression was associated with poor response to treatment and poor outcomes. Therefore, CD318 and CD105 can be useful prognostic markers in AML.
Collapse
Affiliation(s)
- Huda F. Ebian
- Clinical Pathology Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Dina R. Issa
- Internal Medicine Department, Faculty of Medicine, Helwan University, Egypt
| | - Amira S. Al-Karamany
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Rasha L. Etewa
- Pathology Department College of Medicine, Jouf University, Sakaka, Saudi Arabia
| | - Hanaa M. El Maghraby
- Medical Microbiology and Immunology Department, Faculty of Medicine, Zagazig University, Egypt
| | - Samia Hussein
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| |
Collapse
|
14
|
Wang J, Farkas C, Benyoucef A, Carmichael C, Haigh K, Wong N, Huylebroeck D, Stemmler MP, Brabletz S, Brabletz T, Nefzger CM, Goossens S, Berx G, Polo JM, Haigh JJ. Interplay between the EMT transcription factors ZEB1 and ZEB2 regulates hematopoietic stem and progenitor cell differentiation and hematopoietic lineage fidelity. PLoS Biol 2021; 19:e3001394. [PMID: 34550965 PMCID: PMC8489726 DOI: 10.1371/journal.pbio.3001394] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 10/04/2021] [Accepted: 08/20/2021] [Indexed: 01/03/2023] Open
Abstract
The ZEB2 transcription factor has been demonstrated to play important roles in hematopoiesis and leukemic transformation. ZEB1 is a close family member of ZEB2 but has remained more enigmatic concerning its roles in hematopoiesis. Here, we show using conditional loss-of-function approaches and bone marrow (BM) reconstitution experiments that ZEB1 plays a cell-autonomous role in hematopoietic lineage differentiation, particularly as a positive regulator of monocyte development in addition to its previously reported important role in T-cell differentiation. Analysis of existing single-cell (sc) RNA sequencing (RNA-seq) data of early hematopoiesis has revealed distinctive expression differences between Zeb1 and Zeb2 in hematopoietic stem and progenitor cell (HSPC) differentiation, with Zeb2 being more highly and broadly expressed than Zeb1 except at a key transition point (short-term HSC [ST-HSC]➔MPP1), whereby Zeb1 appears to be the dominantly expressed family member. Inducible genetic inactivation of both Zeb1 and Zeb2 using a tamoxifen-inducible Cre-mediated approach leads to acute BM failure at this transition point with increased long-term and short-term hematopoietic stem cell numbers and an accompanying decrease in all hematopoietic lineage differentiation. Bioinformatics analysis of RNA-seq data has revealed that ZEB2 acts predominantly as a transcriptional repressor involved in restraining mature hematopoietic lineage gene expression programs from being expressed too early in HSPCs. ZEB1 appears to fine-tune this repressive role during hematopoiesis to ensure hematopoietic lineage fidelity. Analysis of Rosa26 locus–based transgenic models has revealed that Zeb1 as well as Zeb2 cDNA-based overexpression within the hematopoietic system can drive extramedullary hematopoiesis/splenomegaly and enhance monocyte development. Finally, inactivation of Zeb2 alone or Zeb1/2 together was found to enhance survival in secondary MLL-AF9 acute myeloid leukemia (AML) models attesting to the oncogenic role of ZEB1/2 in AML. This study shows that the closely related transcription factors ZEB1 and ZEB2 cooperate to restrain myeloid and lymphoid differentiation programs in hematopoietic stem and progenitor cells, ensuring fidelity of differentiation in multiple lineages.
Collapse
Affiliation(s)
- Jueqiong Wang
- Australian Centre for Blood Diseases, Monash University, Melbourne, Australia
| | - Carlos Farkas
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
| | - Aissa Benyoucef
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
| | | | - Katharina Haigh
- Australian Centre for Blood Diseases, Monash University, Melbourne, Australia
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
| | - Nick Wong
- Australian Centre for Blood Diseases, Monash University, Melbourne, Australia
| | - Danny Huylebroeck
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Marc P. Stemmler
- Department of Experimental Medicine 1, Nikolaus-Fiebiger-Centre for Molecular Medicine, FAU University Erlangen-Nürnberg, Erlangen, Germany
| | - Simone Brabletz
- Department of Experimental Medicine 1, Nikolaus-Fiebiger-Centre for Molecular Medicine, FAU University Erlangen-Nürnberg, Erlangen, Germany
| | - Thomas Brabletz
- Department of Experimental Medicine 1, Nikolaus-Fiebiger-Centre for Molecular Medicine, FAU University Erlangen-Nürnberg, Erlangen, Germany
| | - Christian M. Nefzger
- Department of Anatomy and Developmental Biology, Monash University, Melbourne, Australia
- Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Melbourne, Australia
- Australian Regenerative Medicine Institute, Monash University, Melbourne, Australia
| | - Steven Goossens
- Molecular and Cellular Oncology Laboratory, Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University and University Hospital, Ghent, Belgium
| | - Geert Berx
- Molecular and Cellular Oncology Laboratory, Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
| | - Jose M. Polo
- Department of Experimental Medicine 1, Nikolaus-Fiebiger-Centre for Molecular Medicine, FAU University Erlangen-Nürnberg, Erlangen, Germany
- Department of Anatomy and Developmental Biology, Monash University, Melbourne, Australia
- Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Melbourne, Australia
| | - Jody J. Haigh
- Australian Centre for Blood Diseases, Monash University, Melbourne, Australia
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
- * E-mail:
| |
Collapse
|
15
|
Hoch REE, Cóser VM, Santos IS, de Souza APD. Lymphoid markers predict prognosis of pediatric and adolescent acute myeloid leukemia. Leuk Res 2021; 107:106603. [PMID: 33957373 DOI: 10.1016/j.leukres.2021.106603] [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: 02/04/2021] [Revised: 04/24/2021] [Accepted: 04/28/2021] [Indexed: 10/21/2022]
Abstract
Acute Myeloid Leukemia (AML) is a complex and highly aggressive disease. To characterize the prognostic factors of pediatric patients with AML relapse, a retrospective cohort study was performed to collect data from children and adolescents, at a hematological oncology reference center, over 11 years. We selected 51 cases of the disease, diagnosed and treated uniformly, divided into two groups: with complete remission (n = 33; 65 %) and with relapse (n = 18; 35 %). The groups were homogeneous concerning demographic characteristics and hematological parameters at diagnosis. AML M3 was the most common subtype (n = 19; 37 %) and was associated with a good prognosis. The highest rate of relapse was with AML M0 (n = 3 of 5 patients; 60 %). The most predominant gene mutation, FLT3-ITD, did not influence the prognosis in our study. The complete remission group presented a higher mean frequency of positive cells for the granulocytic marker CD13a at diagnosis. In cases with AML relapse, CD36, CD4, CD7, and CD22 were the most expressed markers. Increase incidence of recurrence was associated with CD7 (HR 1.035; p = 0.003), CD4 (HR 1.032, p = 0.001) and CD22 (HR 1.042; p = 0.049). Our results highlight the importance of analyzing immunophenotypic markers to help predict the outcome of AML in children and adolescents.
Collapse
Affiliation(s)
- Rosméri Elaine Essy Hoch
- Laboratory of Clinical and Experimental Immunology, Healthy and Life Science School Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; Hematology-Oncology Unit, University Hospital of Santa Maria, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil
| | - Virgínia Maria Cóser
- Hematology-Oncology Unit, University Hospital of Santa Maria, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil
| | - Iná S Santos
- Post-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Post-Graduate Program in Pediatrics and Child Health, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Ana Paula Duarte de Souza
- Laboratory of Clinical and Experimental Immunology, Healthy and Life Science School Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
| |
Collapse
|
16
|
Barresi V, Di Bella V, Andriano N, Privitera AP, Bonaccorso P, La Rosa M, Iachelli V, Spampinato G, Pulvirenti G, Scuderi C, Condorelli DF, Lo Nigro L. NUP-98 Rearrangements Led to the Identification of Candidate Biomarkers for Primary Induction Failure in Pediatric Acute Myeloid Leukemia. Int J Mol Sci 2021; 22:ijms22094575. [PMID: 33925480 PMCID: PMC8123909 DOI: 10.3390/ijms22094575] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 04/22/2021] [Accepted: 04/25/2021] [Indexed: 12/17/2022] Open
Abstract
Conventional chemotherapy for acute myeloid leukemia regimens generally encompass an intensive induction phase, in order to achieve a morphological remission in terms of bone marrow blasts (<5%). The majority of cases are classified as Primary Induction Response (PIR); unfortunately, 15% of children do not achieve remission and are defined Primary Induction Failure (PIF). This study aims to characterize the gene expression profile of PIF in children with Acute Myeloid Leukemia (AML), in order to detect molecular pathways dysfunctions and identify potential biomarkers. Given that NUP98-rearrangements are enriched in PIF-AML patients, we investigated the association of NUP98-driven genes in primary chemoresistance. Therefore, 85 expression arrays, deposited on GEO database, and 358 RNAseq AML samples, from TARGET program, were analyzed for “Differentially Expressed Genes” (DEGs) between NUP98+ and NUP98-, identifying 110 highly confident NUP98/PIF-associated DEGs. We confirmed, by qRT-PCR, the overexpression of nine DEGs, selected on the bases of the diagnostic accuracy, in a local cohort of PIF patients: SPINK2, TMA7, SPCS2, CDCP1, CAPZA1, FGFR1OP2, MAN1A2, NT5C3A and SRP54. In conclusion, the integrated analysis of NUP98 mutational analysis and transcriptome profiles allowed the identification of novel putative biomarkers for the prediction of PIF in AML.
Collapse
Affiliation(s)
- Vincenza Barresi
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, 95123 Catania, Italy; (V.B.); (V.D.B.); (A.P.P.); (G.S.); (C.S.)
| | - Virginia Di Bella
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, 95123 Catania, Italy; (V.B.); (V.D.B.); (A.P.P.); (G.S.); (C.S.)
| | - Nellina Andriano
- Cytogenetic-Cytofluorimetric-Molecular Biology Lab, 95123 Catania, Italy; (N.A.); (P.B.); (M.L.R.); (V.I.); (G.P.); (L.L.N.)
- Center of Pediatric Hematology-Oncology, Azienda Policlinico–San Marco, 95123 Catania, Italy
| | - Anna Provvidenza Privitera
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, 95123 Catania, Italy; (V.B.); (V.D.B.); (A.P.P.); (G.S.); (C.S.)
| | - Paola Bonaccorso
- Cytogenetic-Cytofluorimetric-Molecular Biology Lab, 95123 Catania, Italy; (N.A.); (P.B.); (M.L.R.); (V.I.); (G.P.); (L.L.N.)
- Center of Pediatric Hematology-Oncology, Azienda Policlinico–San Marco, 95123 Catania, Italy
| | - Manuela La Rosa
- Cytogenetic-Cytofluorimetric-Molecular Biology Lab, 95123 Catania, Italy; (N.A.); (P.B.); (M.L.R.); (V.I.); (G.P.); (L.L.N.)
- Center of Pediatric Hematology-Oncology, Azienda Policlinico–San Marco, 95123 Catania, Italy
| | - Valeria Iachelli
- Cytogenetic-Cytofluorimetric-Molecular Biology Lab, 95123 Catania, Italy; (N.A.); (P.B.); (M.L.R.); (V.I.); (G.P.); (L.L.N.)
- Center of Pediatric Hematology-Oncology, Azienda Policlinico–San Marco, 95123 Catania, Italy
| | - Giorgia Spampinato
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, 95123 Catania, Italy; (V.B.); (V.D.B.); (A.P.P.); (G.S.); (C.S.)
| | - Giulio Pulvirenti
- Cytogenetic-Cytofluorimetric-Molecular Biology Lab, 95123 Catania, Italy; (N.A.); (P.B.); (M.L.R.); (V.I.); (G.P.); (L.L.N.)
- Center of Pediatric Hematology-Oncology, Azienda Policlinico–San Marco, 95123 Catania, Italy
| | - Chiara Scuderi
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, 95123 Catania, Italy; (V.B.); (V.D.B.); (A.P.P.); (G.S.); (C.S.)
| | - Daniele F. Condorelli
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, 95123 Catania, Italy; (V.B.); (V.D.B.); (A.P.P.); (G.S.); (C.S.)
- Correspondence:
| | - Luca Lo Nigro
- Cytogenetic-Cytofluorimetric-Molecular Biology Lab, 95123 Catania, Italy; (N.A.); (P.B.); (M.L.R.); (V.I.); (G.P.); (L.L.N.)
- Center of Pediatric Hematology-Oncology, Azienda Policlinico–San Marco, 95123 Catania, Italy
| |
Collapse
|
17
|
Khan T, Kryza T, Lyons NJ, He Y, Hooper JD. The CDCP1 Signaling Hub: A Target for Cancer Detection and Therapeutic Intervention. Cancer Res 2021; 81:2259-2269. [PMID: 33509939 DOI: 10.1158/0008-5472.can-20-2978] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/22/2020] [Accepted: 01/22/2021] [Indexed: 11/16/2022]
Abstract
CUB-domain containing protein 1 (CDCP1) is a type I transmembrane glycoprotein that is upregulated in malignancies of the breast, lung, colorectum, ovary, kidney, liver, pancreas, and hematopoietic system. Here, we discuss CDCP1 as an important hub for oncogenic signaling and its key roles in malignant transformation and summarize approaches focused on exploiting it for cancer diagnosis and therapy. Elevated levels of CDCP1 are associated with progressive disease and markedly poorer survival. Predominantly located on the cell surface, CDCP1 lies at the nexus of key tumorigenic and metastatic signaling cascades, including the SRC/PKCδ, PI3K/AKT, WNT, and RAS/ERK axes, the oxidative pentose phosphate pathway, and fatty acid oxidation, making important functional contributions to cancer cell survival and growth, metastasis, and treatment resistance. These findings have stimulated the development of agents that target CDCP1 for detection and treatment of a range of cancers, and results from preclinical models suggest that these approaches could be efficacious and have manageable toxicity profiles.
Collapse
Affiliation(s)
- Tashbib Khan
- Mater Research Institute - The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Thomas Kryza
- Mater Research Institute - The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Nicholas J Lyons
- Mater Research Institute - The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Yaowu He
- Mater Research Institute - The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - John D Hooper
- Mater Research Institute - The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.
| |
Collapse
|
18
|
Rodríguez-Alonso A, Casas-Pais A, Roca-Lema D, Graña B, Romay G, Figueroa A. Regulation of Epithelial-Mesenchymal Plasticity by the E3 Ubiquitin-Ligases in Cancer. Cancers (Basel) 2020; 12:cancers12113093. [PMID: 33114139 PMCID: PMC7690828 DOI: 10.3390/cancers12113093] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/08/2020] [Accepted: 10/22/2020] [Indexed: 12/22/2022] Open
Abstract
The epithelial-mesenchymal plasticity (EMP) is a process by which epithelial cells acquire the ability to dynamically switch between epithelial and mesenchymal phenotypic cellular states. Epithelial cell plasticity in the context of an epithelial-to-mesenchymal transition (EMT) confers increased cell motility, invasiveness and the ability to disseminate to distant sites and form metastasis. The modulation of molecularly defined targets involved in this process has become an attractive therapeutic strategy against cancer. Protein degradation carried out by ubiquitination has gained attention as it can selectively degrade proteins of interest. In the ubiquitination reaction, the E3 ubiquitin-ligases are responsible for the specific binding of ubiquitin to a small subset of target proteins, and are considered promising anticancer drug targets. In this review, we summarize the role of the E3 ubiquitin-ligases that control targeted protein degradation in cancer-EMT, and we highlight the potential use of the E3 ubiquitin-ligases as drug targets for the development of small-molecule drugs against cancer.
Collapse
Affiliation(s)
- Andrea Rodríguez-Alonso
- Epithelial Plasticity and Metastasis Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), 15006 A Coruña, Spain; (A.R.-A.); (A.C.-P.); (D.R.-L.); (G.R.)
| | - Alba Casas-Pais
- Epithelial Plasticity and Metastasis Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), 15006 A Coruña, Spain; (A.R.-A.); (A.C.-P.); (D.R.-L.); (G.R.)
| | - Daniel Roca-Lema
- Epithelial Plasticity and Metastasis Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), 15006 A Coruña, Spain; (A.R.-A.); (A.C.-P.); (D.R.-L.); (G.R.)
| | - Begoña Graña
- Clinical Oncology Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), 15006 A Coruña, Spain;
| | - Gabriela Romay
- Epithelial Plasticity and Metastasis Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), 15006 A Coruña, Spain; (A.R.-A.); (A.C.-P.); (D.R.-L.); (G.R.)
| | - Angélica Figueroa
- Epithelial Plasticity and Metastasis Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), 15006 A Coruña, Spain; (A.R.-A.); (A.C.-P.); (D.R.-L.); (G.R.)
- Correspondence:
| |
Collapse
|