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Chen D, He Y, Wang Y, Zhang Z, Pei Y, Lei Y, Hu J, Xiang S, Jaffrezic-Renault N, Guo Z. An immune sandwich electrochemical biosensor based on triple-modified zirconium derivatives for detection of CD146 in serum. Colloids Surf B Biointerfaces 2024; 239:113902. [PMID: 38599037 DOI: 10.1016/j.colsurfb.2024.113902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/21/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024]
Abstract
CD146, also known as melanoma cell adhesion molecule (MCAM), is overexpressed in various cancer patients, making it a valuable predictor for early diagnosis. In this work, an immune sandwich electrochemical biosensor is proposed for sensitive and non-invasive quantitative detection of CD146 in serum. Zirconium-based MOF (UIO-66) was modified by simultaneous copper atom doping, in situ growth carbon-based support and physical embedding of platinum nanoparticles (PtNPs). Triple-modified Cu-UIO-66@SWCNT/PtNPs nanocomposites with high stability and excellent electrochemical properties, serve as surface modification materials for glassy carbon electrodes. Anti-CD146 antibody (Ab1) was grafted onto the electrode surface via Pt-S bond. Meanwhile, the secondary antibody (Ab2) was conjugated with silver nanoparticles (AgNPs) to cooperate for CD146 capture and achieve secondary electrical signal amplification. Under optimal conditions, square wave voltammetry was employed to determine CD146 in the concentration range of 10-9-10-4 mg/mL and a limit of detection of 12 fg/mL was obtained. Finally, it was successfully applied to the analysis of CD146 in lung and liver cancer patients' serum samples.
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Affiliation(s)
- Die Chen
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, School of Public Health, Faculty of Medicine, Wuhan University of Science and Technology, Wuhan 430065, PR China
| | - Yutao He
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, School of Public Health, Faculty of Medicine, Wuhan University of Science and Technology, Wuhan 430065, PR China
| | - Ya Wang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, School of Public Health, Faculty of Medicine, Wuhan University of Science and Technology, Wuhan 430065, PR China
| | - Ziyi Zhang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, School of Public Health, Faculty of Medicine, Wuhan University of Science and Technology, Wuhan 430065, PR China
| | - Yifei Pei
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, School of Public Health, Faculty of Medicine, Wuhan University of Science and Technology, Wuhan 430065, PR China
| | - Yumeng Lei
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan 430080, PR China
| | - Junrui Hu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, PR China
| | - Shiqiang Xiang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, School of Public Health, Faculty of Medicine, Wuhan University of Science and Technology, Wuhan 430065, PR China.
| | - Nicole Jaffrezic-Renault
- University of Lyon, Institute of Analytical Sciences, UMR-CNRS 5280, 5, La Doua Street, Villeurbanne 69100, France.
| | - Zhenzhong Guo
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, School of Public Health, Faculty of Medicine, Wuhan University of Science and Technology, Wuhan 430065, PR China.
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de la Fuente AG, Dittmer M, Heesbeen EJ, de la Vega Gallardo N, White JA, Young A, McColgan T, Dashwood A, Mayne K, Cabeza-Fernández S, Falconer J, Rodriguez-Baena FJ, McMurran CE, Inayatullah M, Rawji KS, Franklin RJM, Dooley J, Liston A, Ingram RJ, Tiwari VK, Penalva R, Dombrowski Y, Fitzgerald DC. Ageing impairs the regenerative capacity of regulatory T cells in mouse central nervous system remyelination. Nat Commun 2024; 15:1870. [PMID: 38467607 PMCID: PMC10928230 DOI: 10.1038/s41467-024-45742-w] [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: 01/15/2023] [Accepted: 01/31/2024] [Indexed: 03/13/2024] Open
Abstract
Myelin regeneration (remyelination) is essential to prevent neurodegeneration in demyelinating diseases such as Multiple Sclerosis, however, its efficiency declines with age. Regulatory T cells (Treg) recently emerged as critical players in tissue regeneration, including remyelination. However, the effect of ageing on Treg-mediated regenerative processes is poorly understood. Here, we show that expansion of aged Treg does not rescue age-associated remyelination impairment due to an intrinsically diminished capacity of aged Treg to promote oligodendrocyte differentiation and myelination in male and female mice. This decline in regenerative Treg functions can be rescued by a young environment. We identified Melanoma Cell Adhesion Molecule 1 (MCAM1) and Integrin alpha 2 (ITGA2) as candidates of Treg-mediated oligodendrocyte differentiation that decrease with age. Our findings demonstrate that ageing limits the neuroregenerative capacity of Treg, likely limiting their remyelinating therapeutic potential in aged patients, and describe two mechanisms implicated in Treg-driven remyelination that may be targetable to overcome this limitation.
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Affiliation(s)
- Alerie Guzman de la Fuente
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK.
- Institute for Health and Biomedical Sciences of Alicante (ISABIAL), Alicante, 03010, Spain.
- Instituto de Neurosciencias CSIC-UMH, San Juan de Alicante, Alicante, 03550, Spain.
| | - Marie Dittmer
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Elise J Heesbeen
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
- Division of Pharmacology, Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Nira de la Vega Gallardo
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Jessica A White
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Andrew Young
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Tiree McColgan
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Amy Dashwood
- Department of Pathology, University of Cambridge, CB2 1QP, Cambridge, UK
- Babraham Institute, CB22 3AT, Cambridge, UK
| | - Katie Mayne
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Sonia Cabeza-Fernández
- Institute for Health and Biomedical Sciences of Alicante (ISABIAL), Alicante, 03010, Spain
- Instituto de Neurosciencias CSIC-UMH, San Juan de Alicante, Alicante, 03550, Spain
| | - John Falconer
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
- CRUK Beatson Institute, G61 1BD, Glasgow, UK
| | | | - Christopher E McMurran
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Mohammed Inayatullah
- Institute of Molecular Medicine, University of Southern Denmark, 5000, Odense, Denmark
- Danish Institute for Advanced Study (DIAS), 5230, Odense, Denmark
| | - Khalil S Rawji
- Altos Labs - Cambridge Institute of Science, Granta Park, Cambridge, CB21 6GP, UK
| | - Robin J M Franklin
- Altos Labs - Cambridge Institute of Science, Granta Park, Cambridge, CB21 6GP, UK
| | - James Dooley
- Department of Pathology, University of Cambridge, CB2 1QP, Cambridge, UK
| | - Adrian Liston
- Department of Pathology, University of Cambridge, CB2 1QP, Cambridge, UK
| | - Rebecca J Ingram
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Vijay K Tiwari
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
- Institute of Molecular Medicine, University of Southern Denmark, 5000, Odense, Denmark
- Danish Institute for Advanced Study (DIAS), 5230, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, 5000, Odense, Denmark
| | - Rosana Penalva
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Yvonne Dombrowski
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK
| | - Denise C Fitzgerald
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, Northern Ireland, UK.
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Sharma A, Somasundaram I, Chabaud MB. CD146 as a prognostic marker in breast cancer: A meta-analysis. J Cancer Res Ther 2024; 20:193-198. [PMID: 38554320 DOI: 10.4103/jcrt.jcrt_738_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/15/2022] [Indexed: 04/01/2024]
Abstract
BACKGROUND CD146, a cell adhesion molecule, was first discovered in melanoma. Since then, it has been established as a promoter of tumor progression and metastasis. Many recent clinical studies have associated CD146 overexpression with poor prognosis in various cancers. However, clinical relevance of CD146 in prognosis of breast cancer has been poorly studied. METHODS We performed meta-analysis of data of all clinical studies associated with the prognostic value of CD146 expression in breast cancer. Relevant studies were retrieved from PubMed database as per the inclusion and exclusion criteria, data were extracted independently and carefully by two reviewers with the help of standardized form, and meta-analysis was performed to correlate CD146 expression with molecular subtypes, lymph node metastasis, and overall survival in breast cancer. RESULTS Our findings suggest that CD146 expression is predominantly found in triple-negative breast cancer subtype (pooled odds ratio = 2.98, 95% confidence interval [CI] =2.19-4.05, P < .00001) and breast tumors overexpressing CD146 have a higher risk of lymph node metastasis (pooled relative risk = 1.64, 95% CI = 1.44-1.87, P < .00001). Furthermore, high expression of CD146 was associated with poor prognosis in breast cancer (pooled hazard ratio = 1.51, 95% CI = 1.21-1.87, P = .0002). CONCLUSION Overall results suggested that CD146 may be a potential prognostic marker to predict metastatic potential and disease outcomes in breast cancer and can be used as a therapeutic target.
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Affiliation(s)
- Akshita Sharma
- Department of Stem Cell and Regenerative Medicine, Centre for Inter Disciplinary Research, D. Y. Patil Education Society (Deemed to be University), Kolhapur, Maharashtra, India
| | - Indumathi Somasundaram
- Department of Stem Cell and Regenerative Medicine, Centre for Inter Disciplinary Research, D. Y. Patil Education Society (Deemed to be University), Kolhapur, Maharashtra, India
| | - Marcel Blot Chabaud
- INSERM U1263, Centre for Cardiovascular and Nutrition Research (C2VN), Aix-Marseille University Marseille, France
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Stalin J, Coquoz O, Jeitziner Marcone R, Jemelin S, Desboeufs N, Delorenzi M, Blot-Chabaud M, Imhof BA, Ruegg C. Targeting of the NOX1/ADAM17 Enzymatic Complex Regulates Soluble MCAM-Dependent Pro-Tumorigenic Activity in Colorectal Cancer. Biomedicines 2023; 11:3185. [PMID: 38137406 PMCID: PMC10740863 DOI: 10.3390/biomedicines11123185] [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: 10/30/2023] [Revised: 11/16/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023] Open
Abstract
The melanoma cell adhesion molecule, shed from endothelial and cancer cells, is a soluble growth factor that induces tumor angiogenesis and growth. However, the molecular mechanism accounting for its generation in a tumor context is still unclear. To investigate this mechanism, we performed in vitro experiments with endothelial/cancer cells, gene expression analyses on datasets from human colorectal tumor samples, and applied pharmacological methods in vitro/in vivo with mouse and human colorectal cancer cells. We found that soluble MCAM generation is governed by ADAM17 proteolytic activity and NOX1-regulating ADAM17 expression. The treatment of colorectal tumor-bearing mice with pharmacologic NOX1 inhibitors or tumor growth in NOX1-deficient mice reduced the blood concentration of soluble MCAM and abrogated the anti-tumor effects of anti-soluble MCAM antibodies while ADAM17 pharmacologic inhibitors reduced tumor growth and angiogenesis in vivo. Especially, the expression of MCAM, NOX1, and ADAM17 was more prominent in the angiogenic, colorectal cancer-consensus molecular subtype 4 where high MCAM expression correlated with angiogenic and lymphangiogenic markers. Finally, we demonstrated that soluble MCAM also acts as a lymphangiogenic factor in vitro. These results identify a role for NOX1/ADAM17 in soluble MCAM generation, with potential clinical therapeutic relevance to the aggressive, angiogenic CMS4 colorectal cancer subtype.
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Affiliation(s)
- Jimmy Stalin
- Department of Pathology and Immunology, University of Geneva Medical School, Rue Michel Servet 1, CH-1211 Geneva, Switzerland; (S.J.); (B.A.I.)
- Department of Oncology, Microbiology, and Immunology, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée 18, PER17, CH-1700 Fribourg, Switzerland; (O.C.); (N.D.); (C.R.)
- C2VN, Inserm 1263, Inra 1260, UFR Pharmacie, Aix-Marseille University, 27 Bd J. Moulin, 13005 Marseille, France;
| | - Oriana Coquoz
- Department of Oncology, Microbiology, and Immunology, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée 18, PER17, CH-1700 Fribourg, Switzerland; (O.C.); (N.D.); (C.R.)
| | - Rachel Jeitziner Marcone
- Bioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland; (R.J.M.); (M.D.)
| | - Stephane Jemelin
- Department of Pathology and Immunology, University of Geneva Medical School, Rue Michel Servet 1, CH-1211 Geneva, Switzerland; (S.J.); (B.A.I.)
| | - Nina Desboeufs
- Department of Oncology, Microbiology, and Immunology, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée 18, PER17, CH-1700 Fribourg, Switzerland; (O.C.); (N.D.); (C.R.)
| | - Mauro Delorenzi
- Bioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland; (R.J.M.); (M.D.)
| | - Marcel Blot-Chabaud
- C2VN, Inserm 1263, Inra 1260, UFR Pharmacie, Aix-Marseille University, 27 Bd J. Moulin, 13005 Marseille, France;
| | - Beat A. Imhof
- Department of Pathology and Immunology, University of Geneva Medical School, Rue Michel Servet 1, CH-1211 Geneva, Switzerland; (S.J.); (B.A.I.)
| | - Curzio Ruegg
- Department of Oncology, Microbiology, and Immunology, Faculty of Science and Medicine, University of Fribourg, Chemin du Musée 18, PER17, CH-1700 Fribourg, Switzerland; (O.C.); (N.D.); (C.R.)
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Phillips JD, Fay KA, Bergeron AJ, Zhang P, Mielcarz DW, Calkins AM, Searles TG, Christensen BC, Finley DJ, Turk MJ, Channon JY. The Effect of Lung Resection for NSCLC on Circulating Immune Cells: A Pilot Study. Curr Oncol 2023; 30:5116-5134. [PMID: 37232845 PMCID: PMC10217048 DOI: 10.3390/curroncol30050387] [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: 04/10/2023] [Revised: 05/14/2023] [Accepted: 05/15/2023] [Indexed: 05/27/2023] Open
Abstract
This pilot study sought to evaluate the circulating levels of immune cells, particularly regulatory T-cell (Treg) subsets, before and after lung resection for non-small cell lung cancer. Twenty-five patients consented and had specimens collected. Initially, peripheral blood of 21 patients was collected for circulating immune cell studies. Two of these patients were excluded due to technical issues, leaving 19 patients for the analyses of circulating immune cells. Standard gating and high-dimensional unsupervised clustering flow cytometry analyses were performed. The blood, tumors and lymph nodes were analyzed via single-cell RNA and TCR sequencing for Treg analyses in a total of five patients (including four additional patients from the initial 21 patients). Standard gating flow cytometry revealed a transient increase in neutrophils immediately following surgery, with a variable neutrophil-lymphocyte ratio and a stable CD4-CD8 ratio. Unexpectedly, the total Treg and Treg subsets did not change with surgery with standard gating in short- or long-term follow-up. Similarly, unsupervised clustering of Tregs revealed a dominant cluster that was stable perioperatively and long-term. Two small FoxP3hi clusters slightly increased following surgery. In the longer-term follow-up, these small FoxP3hi Treg clusters were not identified, indicating that they were likely a response to surgery. Single-cell sequencing demonstrated six CD4+FoxP3+ clusters among the blood, tumors and lymph nodes. These clusters had a variable expression of FoxP3, and several were mainly, or only, present in tumor and lymph node tissue. As such, serial monitoring of circulating Tregs may be informative, but not completely reflective of the Tregs present in the tumor microenvironment.
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Affiliation(s)
- Joseph D. Phillips
- Department of Surgery, Dartmouth-Hitchcock Medical Center, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Kayla A. Fay
- Department of Surgery, Dartmouth-Hitchcock Medical Center, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | | | - Peisheng Zhang
- DartLab, Dartmouth Cancer Center, Lebanon, NH 03756, USA
| | | | | | - Tyler G. Searles
- Department of Microbiology and Immunology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Brock C. Christensen
- Departments of Epidemiology and Molecular & Systems Biology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - David J. Finley
- Department of Surgery, Dartmouth-Hitchcock Medical Center, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Mary Jo Turk
- Department of Microbiology and Immunology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
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Manafi-Farid R, Ataeinia B, Ranjbar S, Jamshidi Araghi Z, Moradi MM, Pirich C, Beheshti M. ImmunoPET: Antibody-Based PET Imaging in Solid Tumors. Front Med (Lausanne) 2022; 9:916693. [PMID: 35836956 PMCID: PMC9273828 DOI: 10.3389/fmed.2022.916693] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 05/24/2022] [Indexed: 12/13/2022] Open
Abstract
Immuno-positron emission tomography (immunoPET) is a molecular imaging modality combining the high sensitivity of PET with the specific targeting ability of monoclonal antibodies. Various radioimmunotracers have been successfully developed to target a broad spectrum of molecules expressed by malignant cells or tumor microenvironments. Only a few are translated into clinical studies and barely into clinical practices. Some drawbacks include slow radioimmunotracer kinetics, high physiologic uptake in lymphoid organs, and heterogeneous activity in tumoral lesions. Measures are taken to overcome the disadvantages, and new tracers are being developed. In this review, we aim to mention the fundamental components of immunoPET imaging, explore the groundbreaking success achieved using this new technique, and review different radioimmunotracers employed in various solid tumors to elaborate on this relatively new imaging modality.
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Affiliation(s)
- Reyhaneh Manafi-Farid
- Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Bahar Ataeinia
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Shaghayegh Ranjbar
- Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Zahra Jamshidi Araghi
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Mobin Moradi
- Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Christian Pirich
- Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Mohsen Beheshti
- Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
- *Correspondence: Mohsen Beheshti ; orcid.org/0000-0003-3918-3812
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Bai Y, Deng S. A six-long noncoding RNA model predicts prognosis in lung adenocarcinoma. Transl Cancer Res 2020; 9:7505-7518. [PMID: 35117351 PMCID: PMC8799207 DOI: 10.21037/tcr-20-2436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 10/21/2020] [Indexed: 02/05/2023]
Abstract
Background The incidence and mortality of lung cancer rank first among various malignant tumors. The lack of clear molecular classification and effective individualized treatment greatly limits the treatment benefits of patients. Long non-coding RNAs (lncRNAs) have been demonstrated widely involve in tumor progressing, and been proved easy to detect for occupying majority in transcriptome. However, less work focuses on studying the potency of lncRNAs as molecular typing and prognostic indicator in lung cancer. Methods Based on the 448 lung adenocarcinoma (LUAD) samples and the expression of 14,127 lncRNAs from the Cancer Genome Atlas (TCGA) database, we constructed a co-expression network using weighted gene co-expression network analysis. Then based on the feature module and the overall survival of patients, we constructed a risk score model through Cox proportional hazards regression and verified it with a validation cohort. Finally, according to the median of risk score, the function of this model was enriched. Results We identified a module containing 123 lncRNAs that is related with the prognosis of LUAD. Using univariate and multivariate Cox proportional hazards regression with lasso regression, six lncRNAs were identified to construct a risk score model. The calculation formula shown as follows: risk score = (−0.3057 × EXPVIM-AS1) + (0.9678 × EXPAC092811.1) + (1.0829 × EXPNFIA-AS1) + (−0.3505 × EXPAL035701.1) + (3.9378 × EXPAC079336.4) + (−0.2810 × EXPAL121790.2). Six-lncRNA model can be used as an independent prognostic indicator in LUAD (P<0.001) and the area under the 5-year receiver operating characteristic (ROC) curve is 0.715. Conclusions We developed a six-lncRNA model, which could be used for predicting prognosis and guiding medical treatment in LUAD patients.
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Affiliation(s)
- Yuquan Bai
- Department of Thoracic Surgery research laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Senyi Deng
- Department of Thoracic Surgery research laboratory, West China Hospital, Sichuan University, Chengdu, China.,Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu, China
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Nicolini F, Bocchini M, Angeli D, Bronte G, Delmonte A, Crinò L, Mazza M. Fully Human Antibodies for Malignant Pleural Mesothelioma Targeting. Cancers (Basel) 2020; 12:E915. [PMID: 32276524 PMCID: PMC7226231 DOI: 10.3390/cancers12040915] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/04/2020] [Accepted: 04/07/2020] [Indexed: 12/13/2022] Open
Abstract
Immunotherapy is the most promising therapeutic approach against malignant pleural mesothelioma (MPM). Despite technological progress, the number of targetable antigens or specific antibodies is limited, thus hindering the full potential of recent therapeutic interventions. All possibilities of finding new targeting molecules must be exploited. The specificity of targeting is guaranteed by the use of monoclonal antibodies, while fully human antibodies are preferred, as they are functional and generate no neutralizing antibodies. The aim of this review is to appraise the latest advances in screening methods dedicated to the identification and harnessing of fully human antibodies. The scope of identifying useful molecules proceeds along two avenues, i.e., through the antigen-first or binding-first approaches. The first relies on screening human antibody libraries or plasma from immunized transgenic mice or humans to isolate binders to specific antigens. The latter takes advantage of specific binding to tumor cells of antibodies present in phage display libraries or in responders' plasma samples without prior knowledge of the antigens. Additionally, next-generation sequencing analysis of B-cell receptor repertoire pre- and post-therapy in memory B-cells from responders allows for the identification of clones expanded and matured upon treatment. Human antibodies identified can be subsequently reformatted to generate a plethora of therapeutics like antibody-drug conjugates, immunotoxins, and advanced cell-therapeutics such as chimeric antigen receptor-transduced T-cells.
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Affiliation(s)
- Fabio Nicolini
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy; (F.N.); (M.B.)
| | - Martine Bocchini
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy; (F.N.); (M.B.)
| | - Davide Angeli
- Unit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy;
| | - Giuseppe Bronte
- Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy; (G.B.); (A.D.); (L.C.)
| | - Angelo Delmonte
- Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy; (G.B.); (A.D.); (L.C.)
| | - Lucio Crinò
- Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy; (G.B.); (A.D.); (L.C.)
| | - Massimiliano Mazza
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy; (F.N.); (M.B.)
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9
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Intratumoral Gene Electrotransfer of Plasmid DNA Encoding shRNA against Melanoma Cell Adhesion Molecule Radiosensitizes Tumors by Antivascular Effects and Activation of an Immune Response. Vaccines (Basel) 2020; 8:vaccines8010135. [PMID: 32204304 PMCID: PMC7157247 DOI: 10.3390/vaccines8010135] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/17/2020] [Accepted: 03/17/2020] [Indexed: 12/12/2022] Open
Abstract
In this study, radiotherapy was combined with the gene electrotransfer (GET) of plasmid encoding shRNA against melanoma cell adhesion molecule (pMCAM) with dual action, which was a vascular-targeted effect mediated by the silencing of MCAM and an immunological effect mediated by the presence of plasmid DNA in the cytosol-activating DNA sensors. The effects and underlying mechanisms of therapy were evaluated in more immunogenic B16F10 melanoma and less immunogenic TS/A carcinoma. The silencing of MCAM potentiated the effect of irradiation (IR) in both tumor models. Combined therapy resulted in 81% complete responses (CR) in melanoma and 27% CR in carcinoma. Moreover, after the secondary challenge of cured mice, 59% of mice were resistant to challenge with melanoma cells, and none were resistant to carcinoma. Combined therapy reduced the number of blood vessels; induced hypoxia, apoptosis, and necrosis; and reduced cell proliferation in both tumor models. In addition, the significant increase of infiltrating immune cells was observed in both tumor models but more so in melanoma, where the expression of IL-12 and TNF-α was determined as well. Our results indicate that the combined therapy exerts both antiangiogenic and immune responses that contribute to the antitumor effect. However, tumor immunological status is crucial for a sufficient immune system contribution to the overall antitumor effect.
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