1
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Steinert C, Moñino‐Romero S, Butze M, Scheffel J, Dölle‐Bierke S, Dobbertin‐Welsch J, Beyer K, Maurer M, Altrichter S. Soluble IgE-binding factors in the serum of food-allergic patients: Possible pathophysiological role of soluble FcεRI as protective factor. Clin Transl Allergy 2023; 13:e12222. [PMID: 36825516 PMCID: PMC9904993 DOI: 10.1002/clt2.12222] [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: 10/24/2022] [Accepted: 12/16/2022] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND IgE-mediated food allergy is the result of an aberrant immune response involving the interaction of a food allergen with its specific IgE bound to FcɛRI, the high affinity IgE receptor, on mast cells. Allergen-specific IgE also binds to soluble binding factors, but, their expression and role in food allergy is not well characterized. Here, we assess the prevalence and relevance of soluble IgE binding factors in food allergy and tolerance. METHODS We measured serum levels of four IgE binding factors, that is, galectin-3, galectin-9, soluble FcɛRI (sFcεRI) and soluble CD23 (sCD23) in 67 adults sensitized to peanut or hazelnut and sFcɛRI in 29 children sensitized to hen's egg. Adults without food allergen sensitization (n = 17) served as healthy controls. We compared serum levels of patients and controls and assessed them, in the former, for links to clinical features including allergy and tolerance. RESULTS Serum levels of sFcɛRI and sCD23, but not galectin-3 and galectin-9, significantly differ in food-sensitized patients as compared to healthy controls. A subgroup (28%) of peanut and hazelnut allergic patients had elevated sFcεRI levels, that were associated with higher total and specific IgE levels. Furthermore, sFcεRI levels were significantly higher in tolerant subjects compared to allergics. Among hazelnut allergic patients, those with high sFcεRI levels tolerated the highest protein amounts in the oral food challenge. CONCLUSION sFcɛRI but not sCD23, galectin-3 and galectin-9 might play a role in the pathophysiology of food allergy. Its functional role or use as biomarker should be assessed in further studies.
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Affiliation(s)
- Carolin Steinert
- Institute of AllergologyCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
- Allergology and ImmunologyFraunhofer Institute for Translational Medicine and Pharmacology ITMPBerlinGermany
- Department of Biology, Chemistry and PharmacyFreie Universität BerlinBerlinGermany
| | - Sherezade Moñino‐Romero
- Institute of AllergologyCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
- Allergology and ImmunologyFraunhofer Institute for Translational Medicine and Pharmacology ITMPBerlinGermany
| | - Monique Butze
- Institute of AllergologyCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
- Allergology and ImmunologyFraunhofer Institute for Translational Medicine and Pharmacology ITMPBerlinGermany
- University of PotsdamPotsdamGermany
| | - Jörg Scheffel
- Institute of AllergologyCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
- Allergology and ImmunologyFraunhofer Institute for Translational Medicine and Pharmacology ITMPBerlinGermany
| | - Sabine Dölle‐Bierke
- Division of Allergy and Immunology, Venerology and AllergyDepartment of DermatologyCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
| | - Josefine Dobbertin‐Welsch
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care MedicineCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
| | - Kirsten Beyer
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care MedicineCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
| | - Marcus Maurer
- Institute of AllergologyCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
- Allergology and ImmunologyFraunhofer Institute for Translational Medicine and Pharmacology ITMPBerlinGermany
| | - Sabine Altrichter
- Institute of AllergologyCharité – Universitätsmedizin BerlinFreie Universität Berlin und Humboldt‐Universität zu BerlinBerlinGermany
- Allergology and ImmunologyFraunhofer Institute for Translational Medicine and Pharmacology ITMPBerlinGermany
- Department for Dermatology and VenerologyKepler University HospitalLinzAustria
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2
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Brun VL, Corbel AF, Hsing AW, Kemp TJ, Van Dyke AL, Hildesheim A, Zhu B, Gao YT, Pinto LA, Koshiol J. Soluble cluster of differentiation 14 levels elevated in bile from gallbladder cancer cases from Shanghai, China. Sci Rep 2021; 11:13405. [PMID: 34183723 PMCID: PMC8239000 DOI: 10.1038/s41598-021-92728-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 06/15/2021] [Indexed: 11/15/2022] Open
Abstract
Elevated systemic levels of soluble cluster of differentiation 14 (sCD14) have been associated with gallbladder cancer (GBC), but the association with sCD14 levels within the gallbladder has not been investigated. Here, we evaluated sCD14 in the bile of 41 GBC cases and 117 gallstone controls with data on 65 bile inflammation markers. We examined the relationship between bile sCD14 levels and GBC using logistic regression and stratified the analysis by stage. We included GBC-associated inflammatory biomarkers in the model to evaluate the influence of local inflammation. Bile sCD14 levels (third versus first tertile) were associated with GBC (adjusted odds ratio [OR]: 3.0, 95% confidence interval [CI]: 1.2–8.0). The association was equally strong for stage I/II (OR: 3.3, 95% CI: 0.9–15.6) and stage III/IV (OR: 3.2, 95% CI: 1.0–12.4) cancers. Including the GBC-associated inflammatory markers in the model removed the association between bile sCD14 and GBC (OR: 1.0, 95% CI: 0.3–3.5). The findings suggest that immune activation within the gallbladder may be related to GBC development, and the effect of sCD14 is influenced by inflammation. Similar associations across tumor stages suggest that elevated bile sCD14 levels may reflect changes early in GBC pathogenesis. Associations between GBC and sCD14 levels in both bile and plasma suggest sCD14 could be a potential biomarker for GBC.
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Affiliation(s)
- Victoria L Brun
- Partnership Development Office, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
| | - Amanda F Corbel
- Partnership Development Office, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ann W Hsing
- Stanford Prevention Research Center/Cancer Institute, Stanford University, Stanford, CA, USA
| | - Troy J Kemp
- Vaccine, Immunity and Cancer Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Alison L Van Dyke
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Ligia A Pinto
- Vaccine, Immunity and Cancer Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jill Koshiol
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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3
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Upadhyayula PS, Higgins DM, Argenziano MG, Spinazzi EF, Wu CC, Canoll P, Bruce JN. The Sledgehammer in Precision Medicine: Dexamethasone and Immunotherapeutic Treatment of Glioma. Cancer Invest 2021; 40:554-566. [PMID: 34151678 DOI: 10.1080/07357907.2021.1944178] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Understanding dexamethasone's effect on the immune microenvironment in glioma patients is of key importance. We performed a comprehensive literature review using the NCBI PubMed database for all articles meeting the following search criteria. ((dexamethasone[All Fields]) AND (glioma or glioblastoma)[Title/Abstract]) AND (immune or T cell or B cell or monocyte or neutrophil or macrophage). Forty-three manuscripts were deemed relevant to the topic at hand. Multiple clinical studies have linked dexamethasone use to decreased overall survival while preclinical studies in murine glioma models have demonstrated decreased tumor-infiltrating lymphocytes after dexamethasone administration.
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Affiliation(s)
- Pavan S Upadhyayula
- Department of Neurological Surgery, Columbia Irving University Medical Center, Manhattan, NY, USA
| | - Dominique M Higgins
- Department of Neurological Surgery, Columbia Irving University Medical Center, Manhattan, NY, USA
| | - Michael G Argenziano
- Department of Neurological Surgery, Columbia Irving University Medical Center, Manhattan, NY, USA
| | - Eleonora F Spinazzi
- Department of Neurological Surgery, Columbia Irving University Medical Center, Manhattan, NY, USA
| | - Cheng-Chia Wu
- Department of Radiation Oncology, Columbia Irving University Medical Center, Manhattan, NY, USA
| | - Peter Canoll
- Department of Neurological Surgery, Columbia Irving University Medical Center, Manhattan, NY, USA.,Department of Pathology and Cell Biology, Columbia University Irving Medical Center, Manhattan, NY, USA
| | - Jeffrey N Bruce
- Department of Neurological Surgery, Columbia Irving University Medical Center, Manhattan, NY, USA
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4
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Linhares P, Carvalho B, Vaz R, Costa BM. Glioblastoma: Is There Any Blood Biomarker with True Clinical Relevance? Int J Mol Sci 2020; 21:E5809. [PMID: 32823572 PMCID: PMC7461098 DOI: 10.3390/ijms21165809] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/09/2020] [Accepted: 08/10/2020] [Indexed: 02/07/2023] Open
Abstract
Glioblastoma (GBM) is the most frequent malignant primary brain tumor in adults, characterized by a highly aggressive, inflammatory and angiogenic phenotype. It is a remarkably heterogeneous tumor at several levels, including histopathologically, radiographically and genetically. The 2016 update of the WHO Classification of Tumours of the Central Nervous System highlighted molecular parameters as paramount features for the diagnosis, namely IDH1/2 mutations that distinguish primary and secondary GBM. An ideal biomarker is a molecule that can be detected/quantified through simple non- or minimally invasive methods with the potential to assess cancer risk; promote early diagnosis; increase grading accuracy; and monitor disease evolution and treatment response, as well as fundamentally being restricted to one aspect. Blood-based biomarkers are particularly attractive due to their easy access and have been widely used for various cancer types. A number of serum biomarkers with multiple utilities for glioma have been reported that could classify glioma grades more precisely and provide prognostic value among these patients. At present, screening for gliomas has no clinical relevance. This is because of the low incidence, the lack of sensitive biomarkers in plasma, and the observation that gliomas may develop apparently de novo within few weeks or months. To the best of our knowledge, there is no routine use of a serum biomarker for clinical follow-up. The purpose of this paper is to review the serum biomarkers described in the literature related to glioblastoma and their possible relationship with clinical features.
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Affiliation(s)
- Paulo Linhares
- Neurosurgery Department, Centro Hospitalar São João, Alameda Prof Hernani Monteiro, 4200–319 Porto, Portugal; (P.L.); (R.V.)
- Clinical Neurosciences and Mental Health Department, Faculty of Medicine, University of Oporto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Bruno Carvalho
- Neurosurgery Department, Centro Hospitalar São João, Alameda Prof Hernani Monteiro, 4200–319 Porto, Portugal; (P.L.); (R.V.)
- Clinical Neurosciences and Mental Health Department, Faculty of Medicine, University of Oporto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Rui Vaz
- Neurosurgery Department, Centro Hospitalar São João, Alameda Prof Hernani Monteiro, 4200–319 Porto, Portugal; (P.L.); (R.V.)
- Clinical Neurosciences and Mental Health Department, Faculty of Medicine, University of Oporto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Bruno M. Costa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal;
- ICVS/3B’s—PT Government Associate Laboratory, Braga/Guimarães, 4710-057 Braga, Portugal
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5
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Vaios EJ, Winter SF, Muzikansky A, Nahed BV, Dietrich J. Eosinophil and lymphocyte counts predict bevacizumab response and survival in recurrent glioblastoma. Neurooncol Adv 2020; 2:vdaa031. [PMID: 32642690 PMCID: PMC7212859 DOI: 10.1093/noajnl/vdaa031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background There is a lack of biomarkers to identify glioblastoma (GBM) patients who may benefit from specific salvage therapies, such as the anti-angiogenic agent bevacizumab. We hypothesized that circulating blood counts may serve as biomarkers for treatment response and clinical outcomes. Methods Complete blood counts, clinical data, and radiographic information were collected retrospectively from 84 recurrent GBM patients receiving bevacizumab (10 mg/kg every 2 weeks). Significant biomarkers were categorized into quartiles and the association with clinical outcomes was assessed using the Kaplan–Meier method. Results The median treatment duration and survival on bevacizumab (OS-A) was 88 and 192 days, respectively. On multivariate analysis, MGMT promoter methylation (hazard ratio [HR] 0.504, P = .031), increases in red blood cells (HR 0.496, P = .035), and increases in eosinophils (HR 0.048, P = .054) during treatment predicted improved OS-A. Patients in the first and fourth quartiles of eosinophil changes had a 12-month survival probability of 5.6% and 41.2% (P < .0001), respectively. Treatment response was associated with increases in eosinophil counts (P = .009) and improved progression-free survival (P = .013). On multivariate analysis, increases in lymphocyte counts among responders predicted improved OS-A (HR 0.389, P = .044). Responders in the first and fourth quartiles of lymphocyte changes had a 12-month survival probability of 0% and 44.4% (P = .019), respectively. Changes in platelet counts differed before and after radiographic response (P = .014). Conclusions Changes in circulating eosinophil, lymphocyte, and platelet counts may predict treatment response and clinical outcomes in patients with recurrent GBM receiving bevacizumab.
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Affiliation(s)
- Eugene J Vaios
- Harvard Medical School, Boston, Massachusetts, USA.,Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sebastian F Winter
- Department of Neurosurgery, Charité - Universitätsmedizin, Berlin, Germany.,Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Alona Muzikansky
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Brian V Nahed
- Harvard Medical School, Boston, Massachusetts, USA.,Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jorg Dietrich
- Harvard Medical School, Boston, Massachusetts, USA.,Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
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6
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Lee YS, Krishnan A, Oughtred R, Rust J, Chang CS, Ryu J, Kristensen VN, Dolinski K, Theesfeld CL, Troyanskaya OG. A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Syst 2019; 8:152-162.e6. [PMID: 30685436 PMCID: PMC7374759 DOI: 10.1016/j.cels.2018.12.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 10/16/2018] [Accepted: 12/20/2018] [Indexed: 01/21/2023]
Abstract
A key challenge for the diagnosis and treatment of complex human diseases is identifying their molecular basis. Here, we developed a unified computational framework, URSAHD (Unveiling RNA Sample Annotation for Human Diseases), that leverages machine learning and the hierarchy of anatomical relationships present among diseases to integrate thousands of clinical gene expression profiles and identify molecular characteristics specific to each of the hundreds of complex diseases. URSAHD can distinguish between closely related diseases more accurately than literature-validated genes or traditional differential-expression-based computational approaches and is applicable to any disease, including rare and understudied ones. We demonstrate the utility of URSAHD in classifying related nervous system cancers and experimentally verifying novel neuroblastoma-associated genes identified by URSAHD. We highlight the applications for potential targeted drug-repurposing and for quantitatively assessing the molecular response to clinical therapies. URSAHD is freely available for public use, including the use of underlying models, at ursahd.princeton.edu.
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Affiliation(s)
- Young-Suk Lee
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA; Department of Computer Science, Princeton University, Princeton, NJ, USA; School of Biological Sciences, Seoul National University, Seoul, South Korea
| | - Arjun Krishnan
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA; Departments of Computational Mathematics, Science, and Engineering and Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA
| | - Rose Oughtred
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Jennifer Rust
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Christie S Chang
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Joseph Ryu
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Vessela N Kristensen
- Department of Genetics, Institute of Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Department of Clinical Molecular Biology (EpiGen), Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Kara Dolinski
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Chandra L Theesfeld
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
| | - Olga G Troyanskaya
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA; Department of Computer Science, Princeton University, Princeton, NJ, USA; Flatiron Institute, Simons Foundation, New York, NY, USA.
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7
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Miyauchi E, Furuta T, Ohtsuki S, Tachikawa M, Uchida Y, Sabit H, Obuchi W, Baba T, Watanabe M, Terasaki T, Nakada M. Identification of blood biomarkers in glioblastoma by SWATH mass spectrometry and quantitative targeted absolute proteomics. PLoS One 2018. [PMID: 29513714 PMCID: PMC5841790 DOI: 10.1371/journal.pone.0193799] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Molecular biomarkers in blood are needed to aid the early diagnosis and clinical assessment of glioblastoma (GBM). Here, in order to identify biomarker candidates in plasma of GBM patients, we performed quantitative comparisons of the plasma proteomes of GBM patients (n = 14) and healthy controls (n = 15) using SWATH mass spectrometry analysis. The results were validated by means of quantitative targeted absolute proteomics analysis. As a result, we identified eight biomarker candidates for GBM (leucine-rich alpha-2-glycoprotein (LRG1), complement component C9 (C9), C-reactive protein (CRP), alpha-1-antichymotrypsin (SERPINA3), apolipoprotein B-100 (APOB), gelsolin (GSN), Ig alpha-1 chain C region (IGHA1), and apolipoprotein A-IV (APOA4)). Among them, LRG1, C9, CRP, GSN, IGHA1, and APOA4 gave values of the area under the receiver operating characteristics curve of greater than 0.80. To investigate the relationships between the biomarker candidates and GBM biology, we examined correlations between plasma concentrations of biomarker candidates and clinical presentation (tumor size, progression-free survival time, or overall survival time) in GBM patients. The plasma concentrations of LRG1, CRP, and C9 showed significant positive correlations with tumor size (R2 = 0.534, 0.495, and 0.452, respectively).
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Affiliation(s)
- Eisuke Miyauchi
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - Takuya Furuta
- Department of Pathology, Kurume University School of Medicine, Kurume, Fukuoka, Japan
- Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan
| | - Sumio Ohtsuki
- Department of Pharmaceutical Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, Japan
| | - Masanori Tachikawa
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - Yasuo Uchida
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - Hemragul Sabit
- Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan
| | - Wataru Obuchi
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - Tomoko Baba
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - Michitoshi Watanabe
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - Tetsuya Terasaki
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
- * E-mail:
| | - Mitsutoshi Nakada
- Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan
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8
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Zhou M, Zhang Z, Zhao H, Bao S, Cheng L, Sun J. An Immune-Related Six-lncRNA Signature to Improve Prognosis Prediction of Glioblastoma Multiforme. Mol Neurobiol 2017; 55:3684-3697. [PMID: 28527107 DOI: 10.1007/s12035-017-0572-9] [Citation(s) in RCA: 134] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Accepted: 04/24/2017] [Indexed: 01/12/2023]
Abstract
Recent studies have demonstrated the utility and superiority of long non-coding RNAs (lncRNAs) as novel biomarkers for cancer diagnosis, prognosis, and therapy. In the present study, the prognostic value of lncRNAs in glioblastoma multiforme was systematically investigated by performing a genome-wide analysis of lncRNA expression profiles in 419 glioblastoma patients from The Cancer Genome Atlas (TCGA) project. Using survival analysis and Cox regression model, we identified a set of six lncRNAs (AC005013.5, UBE2R2-AS1, ENTPD1-AS1, RP11-89C21.2, AC073115.6, and XLOC_004803) demonstrating an ability to stratify patients into high- and low-risk groups with significantly different survival (median 0.899 vs. 1.611 years, p = 3.87e-09, log-rank test) in the training cohort. The six-lncRNA signature was successfully validated on independent test cohort of 219 patients with glioblastoma, and it revealed superior performance for risk stratification with respect to existing lncRNA-related signatures. Multivariate Cox and stratification analysis indicated that the six-lncRNA signature was an independent prognostic factor after adjusting for other clinical covariates. Further in silico functional analysis suggested that the six-lncRNA signature may be involved in the immune-related biological processes and pathways which are very well known in the context of glioblastoma tumorigenesis. The identified lncRNA signature had important clinical implication for improving outcome prediction and guiding the tailored therapy for glioblastoma patients with further prospective validation.
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Affiliation(s)
- Meng Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Zhaoyue Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Hengqiang Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Siqi Bao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Liang Cheng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
| | - Jie Sun
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
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9
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Han S, Ma E, Wang X, Yu C, Dong T, Zhan W, Wei X, Liang G, Feng S. Rescuing defective tumor-infiltrating T-cell proliferation in glioblastoma patients. Oncol Lett 2016; 12:2924-2929. [PMID: 27703529 DOI: 10.3892/ol.2016.4944] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Accepted: 06/27/2016] [Indexed: 12/31/2022] Open
Abstract
Primary glioblastoma (GBM) is the most prevalent brain cancer, with fast progression and a poor prognosis. Current treatment options are unable to fully manage GBM since it is highly resistant to radiation and chemotherapy, and it cannot be completely removed by surgery. Thus, immunotherapeutic strategies utilizing tumor-infiltrating T cells have been investigated. In the present study, the T-cell response in GBM patients was examined in resected tumor samples and peripheral blood samples by flow cytometry. It was found that tumor-infiltrating T cells represented a rare population in all tumor cells, and were more refractory to anti-cluster of differentiation 3 (CD3) stimulation than their peripheral blood counterparts. A number of strategies were then assessed to boost tumor-infiltrating T-cell proliferation, and it was found that pre-incubation with 20 U/ml interleukin (IL)-2, as well as sequestration of IL-10 in culture, improved tumor T-cell proliferation following anti-CD3 stimulation. The stimulation of blood antigen-presenting cells by lipopolysaccharide, however, did not improve tumor T-cell proliferation. Overall, the present results provided a viable strategy for improving tumor-infiltrating CD3+ T-cell responses in GBM patients.
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Affiliation(s)
- Song Han
- Department of Neurosurgery, General Hospital of Shenyang Military Area Command of the Chinese People's Liberation Army, Shenyang, Liaoning 110016, P.R. China
| | - Enlong Ma
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Xiaonan Wang
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Chunyong Yu
- Department of Neurosurgery, General Hospital of Shenyang Military Area Command of the Chinese People's Liberation Army, Shenyang, Liaoning 110016, P.R. China
| | - Tao Dong
- Department of Neurosurgery, General Hospital of Shenyang Military Area Command of the Chinese People's Liberation Army, Shenyang, Liaoning 110016, P.R. China
| | - Wen Zhan
- Lingbin Biotechnology Research Center, Jinan, Shandong 250100, P.R. China
| | - Xuezhong Wei
- Department of Neurosurgery, General Hospital of Shenyang Military Area Command of the Chinese People's Liberation Army, Shenyang, Liaoning 110016, P.R. China
| | - Guobiao Liang
- Department of Neurosurgery, General Hospital of Shenyang Military Area Command of the Chinese People's Liberation Army, Shenyang, Liaoning 110016, P.R. China
| | - Sizhe Feng
- Department of Neurosurgery, General Hospital of Shenyang Military Area Command of the Chinese People's Liberation Army, Shenyang, Liaoning 110016, P.R. China
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10
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Amirian ES, Zhou R, Wrensch MR, Olson SH, Scheurer ME, Il'yasova D, Lachance D, Armstrong GN, McCoy LS, Lau CC, Claus EB, Barnholtz-Sloan JS, Schildkraut J, Ali-Osman F, Sadetzki S, Johansen C, Houlston RS, Jenkins RB, Bernstein JL, Merrell RT, Davis FG, Lai R, Shete S, Amos CI, Melin BS, Bondy ML. Approaching a Scientific Consensus on the Association between Allergies and Glioma Risk: A Report from the Glioma International Case-Control Study. Cancer Epidemiol Biomarkers Prev 2016; 25:282-90. [PMID: 26908595 PMCID: PMC4874516 DOI: 10.1158/1055-9965.epi-15-0847] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Several previous studies have found inverse associations between glioma susceptibility and a history of allergies or other atopic conditions. Some evidence indicates that respiratory allergies are likely to be particularly relevant with regard to glioma risk. Using data from the Glioma International Case-Control Study (GICC), we examined the effects of respiratory allergies and other atopic conditions on glioma risk. METHODS The GICC contains detailed information on history of atopic conditions for 4,533 cases and 4,171 controls, recruited from 14 study sites across five countries. Using two-stage random-effects restricted maximum likelihood modeling to calculate meta-analysis ORs, we examined the associations between glioma and allergy status, respiratory allergy status, asthma, and eczema. RESULTS Having a history of respiratory allergies was associated with an approximately 30% lower glioma risk, compared with not having respiratory allergies (mOR, 0.72; 95% confidence interval, 0.58-0.90). This association was similar when restricting to high-grade glioma cases. Asthma and eczema were also significantly protective against glioma. CONCLUSION A substantial amount of data on the inverse association between atopic conditions and glioma has accumulated, and findings from the GICC study further strengthen the existing evidence that the relationship between atopy and glioma is unlikely to be coincidental. IMPACT As the literature approaches a consensus on the impact of allergies in glioma risk, future research can begin to shift focus to what the underlying biologic mechanism behind this association may be, which could, in turn, yield new opportunities for immunotherapy or cancer prevention.
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Affiliation(s)
- E Susan Amirian
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Renke Zhou
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Margaret R Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Michael E Scheurer
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Dora Il'yasova
- Department of Epidemiology and Biostatistics, Georgia State University School of Public Health, Atlanta, Georgia. Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina
| | - Daniel Lachance
- Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - Georgina N Armstrong
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Lucie S McCoy
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Ching C Lau
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Elizabeth B Claus
- Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Joellen Schildkraut
- Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina
| | - Francis Ali-Osman
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
| | - Siegal Sadetzki
- Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel. Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Christoffer Johansen
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark. Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Richard S Houlston
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Ryan T Merrell
- Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois
| | - Faith G Davis
- Department of Public Health Services, University of Alberta, Edmonton, Alberta, Canada
| | - Rose Lai
- Department of Neurology, The University of Southern California Keck School of Medicine, Los Angeles, California. Department of Neurosurgery, The University of Southern California Keck School of Medicine, Los Angeles, California. Department of Preventive Medicine, The University of Southern California Keck School of Medicine, Los Angeles, California
| | - Sanjay Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christopher I Amos
- Department of Community and Family Medicine, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Department of Genetics, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Beatrice S Melin
- Department of Radiation Sciences Oncology, Umeå University, Umeå, Sweden
| | - Melissa L Bondy
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas.
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Abstract
Currently, gliomas are diagnosed by neuroimaging, and refined diagnosis requires resection or biopsy to obtain tumour tissue for histopathological classification and grading. Blood-derived biomarkers, therefore, would be useful as minimally invasive markers that could support diagnosis and enable monitoring of tumour growth and response to treatment. Such circulating biomarkers could distinguish true progression from therapy-associated changes such as radiation necrosis, and help evaluate the persistence or disappearance of a therapeutic target, such as an oncoprotein or a targetable gene mutation, after targeted therapy. Unlike for other tumours, circulating biomarkers for gliomas are still being defined and are not yet in use in clinical practice. Circulating tumour DNA (ctDNA) isolated from plasma has been shown to reflect the mutational status of glioblastoma, and extracellular vesicles (EVs) containing ctDNA, microRNA and proteins function as rapidly adapting reservoirs for glioma biomarkers such as typical DNA mutations, regulatory microRNAs and oncoproteins. Ideally, circulating tumour cells could enable profiling of the whole-tumour genome, but they are difficult to detect and can reflect only a single cell type of the heterogeneous tumour composition, whereas EVs reflect the complex heterogeneity of the whole tumour, as well as its adaptations to therapy. Although all categories of potential blood-derived biomarkers need to be developed further, findings from other tumour types suggest that EVs are the most promising biomarkers.
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12
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Zhou M, Bracci PM, McCoy LS, Hsuang G, Wiemels JL, Rice T, Zheng S, Kelsey KT, Wrensch MR, Wiencke JK. Serum macrophage-derived chemokine/CCL22 levels are associated with glioma risk, CD4 T cell lymphopenia and survival time. Int J Cancer 2015; 137:826-36. [PMID: 25604093 PMCID: PMC4478165 DOI: 10.1002/ijc.29441] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2014] [Accepted: 01/09/2015] [Indexed: 01/07/2023]
Abstract
Defects in antigen presenting cell function have been implicated in glioma immunosuppression. We measured peripheral CCL22, a dendritic cell/macrophage derived T cell trafficking chemokine, in sera from 1,208 glioma cases and 976 controls to assess whether it might provide a biomarker of glioma risk, survival and immune dysfunction. Cluster models were used to examine the relationship between CCL22 and glioma risk. Patient survival was assessed using Cox regression models. We also examined the relationship between CCL22 levels and CD4 cell counts, as well as allergy history and IgE levels. CCL22 levels were significantly lower among glioma cases compared with controls (Mean ± SEM: 1.23 ± 0.03 ng/mL in cases vs. 1.60 ± 0.03 ng/mL in controls, p < 0.0001) and this difference remained significant even after controlling for other covariates in the cluster models (highest quartile versus lowest Odds Ratio = 0.21, p < 0.0001). CD4 cell counts were positively correlated with CCL22 in glioma cases (Spearman r(2) = 0.51, p < 0.01) and were significantly lower in cases compared with controls. Higher CCL22 levels were associated with longer survival in all cases combined and in GBM cases (hazard ratio(allcases) = 0.81; 95% CI: 0.72-0.91, p = 0.0003). CCL22 levels were not associated with IgE level or self-reported allergies. Circulating CCL22 levels are related to both glioma risk and survival duration independent of age, histology, grade and IDH mutation status. CCL22 should be considered a marker of immune status with potential prognostic value.
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Affiliation(s)
- Mi Zhou
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Lucie S. McCoy
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - George Hsuang
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Joseph L. Wiemels
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Terri Rice
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Shichun Zheng
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Karl T. Kelsey
- Department of Laboratory Medicine and Pathology, Brown University, Providence, RI
| | - Margaret R. Wrensch
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - John K. Wiencke
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
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13
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Tanase C, Albulescu R, Codrici E, Popescu ID, Mihai S, Enciu AM, Cruceru ML, Popa AC, Neagu AI, Necula LG, Mambet C, Neagu M. Circulating biomarker panels for targeted therapy in brain tumors. Future Oncol 2015; 11:511-24. [PMID: 25241806 DOI: 10.2217/fon.14.238] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
An important goal of oncology is the development of cancer risk-identifier biomarkers that aid early detection and target therapy. High-throughput profiling represents a major concern for cancer research, including brain tumors. A promising approach for efficacious monitoring of disease progression and therapy could be circulating biomarker panels using molecular proteomic patterns. Tailoring treatment by targeting specific protein-protein interactions and signaling networks, microRNA and cancer stem cell signaling in accordance with tumor phenotype or patient clustering based on biomarker panels represents the future of personalized medicine for brain tumors. Gathering current data regarding biomarker candidates, we address the major challenges surrounding the biomarker field of this devastating tumor type, exploring potential perspectives for the development of more effective predictive biomarker panels.
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Affiliation(s)
- Cristiana Tanase
- Victor Babes National Institute of Pathology, Biochemistry-Proteomics Department, no 99-101 Splaiul Independentei, 050096 Sector 5 Bucharest, Romania
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14
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Lee ST, Bracci P, Zhou M, Rice T, Wiencke J, Wrensch M, Wiemels J. Interaction of allergy history and antibodies to specific varicella-zoster virus proteins on glioma risk. Int J Cancer 2013; 134:2199-210. [PMID: 24127236 DOI: 10.1002/ijc.28535] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 09/05/2013] [Accepted: 09/30/2013] [Indexed: 12/26/2022]
Abstract
Glioma is the most common cancer of the central nervous system but with few confirmed risk factors. It has been inversely associated with chicken pox, shingles and seroreactivity to varicella virus (VZV), as well as to allergies and allergy-associated IgE. The role of antibody reactivity against individual VZV antigens has not been assessed. Ten VZV-related proteins, selected for high immunogenicity or known function, were synthesized and used as targets for antibody measurements in the sera of 143 glioma cases and 131 healthy controls selected from the San Francisco Bay Area Adult Glioma Study. Glioma cases exhibited significantly reduced seroreactivity compared to controls for six antigens, including proteins IE63 [odds ratio (OR) = 0.26, 95% confidence interval (CI): 0.12-0.58, comparing lowest quartile to highest) and the VZV-unique protein ORF2p (OR = 0.44, 95% CI: 0.21-0.96, lowest quartile to highest). When stratifying the study population into those with low and high self-reported allergy history, VZV protein seroreactivity was only associated inversely with glioma among individuals self-reporting more than two allergies. The data provide insight into both allergy and VZV effects on glioma: strong anti-VZV reactions in highly allergic individuals are associated with reduced occurrence of glioma. This result suggests a role for specificity in the anti-VZV immunity in brain tumor suppression for both individual VZV antigens and in the fine-tuning of the immune response by allergy. Anti-VZV reactions may also be a biomarker of effective CNS immunosurveillance owing to the tropism of the virus.
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Affiliation(s)
- Seung-Tae Lee
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA; Department of Laboratory Medicine & Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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15
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Serum soluble CD14 is a potential prognostic indicator of recurrence of human breast invasive ductal carcinoma with Her2-enriched subtype. PLoS One 2013; 8:e75366. [PMID: 24086515 PMCID: PMC3783397 DOI: 10.1371/journal.pone.0075366] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2013] [Accepted: 08/13/2013] [Indexed: 11/19/2022] Open
Abstract
In clinical practice, breast cancers with lymph node positive, ER/PR-negative and overexpressed human epidermal growth factor receptor 2 (LN+ER/PR-Her2+) have high risk of recurrence, but the effective biomarkers of prognostic for this type tumor are still lacking. Since breast cancers with LN+ER/PR-Her2+ is at higher risk of recurrence than those with LN-ER/PR+Her2-. The differential proteins between those two groups could be related to the risk of recurrence. Herein, we report that serum soluble CD14 (sCD14) was revealed as the stable differential protein between LN+ER/PR-Her2+ (n=50) and LN-ER/PR+Her2- (n=50) breast cancer patients by proteomics analysis. To validate sCD14 as a biomarker for predicting recurrence of breast cancer, 90 breast cancer patients with LN+ER/PR-Her2+ and 93 patients with LN-ER/PR+Her2- were recruited. The patients with higher level of serum sCD14 at primary surgery showed to be at significantly lower risk of relapse in 3 years follow-up than those with lower level of serum sCD14 at primary surgery. The levels of serum sCD14 at primary surgery were significantly correlated to the risk of 3-year recurrence of LN+ER/PR-Her2+ breast cancer and the corresponding AUC of the ROC curve was 0.833 (95% CI, and 0.742 to 0.920). Therefore, we surmise that serum sCD14 could be a potential biomarker for predicting the prognosis of breast invasive ductal carcinoma with LN+ER/PR-Her2+.
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16
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Antihistamine use and immunoglobulin E levels in glioma risk and prognosis. Cancer Epidemiol 2013; 37:908-12. [PMID: 23994286 DOI: 10.1016/j.canep.2013.08.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2013] [Revised: 07/30/2013] [Accepted: 08/05/2013] [Indexed: 01/09/2023]
Abstract
OBJECTIVE An inverse association between personal history of allergies/asthma and glioma risk has been fairly consistently reported in the epidemiologic literature. However, the role of regular antihistamine use remains controversial due to a small number of studies reporting contradictory findings. We evaluated the association between regular use of oral antihistamines and glioma risk, adjusting for a number of relevant factors (e.g., immunoglobulin E levels and history of chickenpox). METHODS We used a subset of the Harris County Case-Control Study, which included 362 pathologically confirmed glioma cases and 462 cancer-free controls, to evaluate this association using unconditional multivariable logistic regression. These models were run among the overall study population and stratified by allergy status. Cox regression was utilized to examine whether antihistamine use was associated with mortality among all cases and separately among high-grade cases. RESULTS Antihistamine use was strongly associated with glioma risk among those with a positive allergy/asthma history (OR: 4.19, 95% CI: 2.06-8.51), but not among those with a negative history (OR: 1.59, 95% CI: 0.95-2.67). There were no significant associations between antihistamine use and survival among cases. CONCLUSION The current study implies that regular antihistamine use may increase glioma risk. However, several larger studies are necessary before definitive conclusions can be drawn.
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17
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Turner MC, Krewski D, Armstrong BK, Chetrit A, Giles GG, Hours M, McBride ML, Parent MÉ, Sadetzki S, Siemiatycki J, Woodward A, Cardis E. Allergy and brain tumors in the INTERPHONE study: pooled results from Australia, Canada, France, Israel, and New Zealand. Cancer Causes Control 2013; 24:949-60. [PMID: 23443320 DOI: 10.1007/s10552-013-0171-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2012] [Accepted: 02/07/2013] [Indexed: 12/31/2022]
Abstract
PURPOSE A history of allergy has been inversely associated with several types of cancer although the evidence is not entirely consistent. We examined the association between allergy history and risk of glioma, meningioma, acoustic neuroma, and parotid gland tumors using data on a large number of cases and controls from five INTERPHONE study countries (Australia, Canada, France, Israel, New Zealand), to better understand potential sources of bias in brain tumor case-control studies and to examine associations between allergy and tumor sites where few studies exist. METHODS A total of 793 glioma, 832 meningioma, 394 acoustic neuroma, and 84 parotid gland tumor cases were analyzed with 2,520 controls recruited during 2000-2004. Conditional logistic regression models were used to obtain odds ratios (ORs) and 95 % confidence intervals (CIs) for associations between self-reported allergy and tumor risk. RESULTS A significant inverse association was observed between a history of any allergy and glioma (OR = 0.73, 95 % CI 0.60-0.88), meningioma (OR = 0.77, 95 % CI 0.63-0.93), and acoustic neuroma (OR = 0.64, 95 % CI 0.49-0.83). Inverse associations were also observed with specific allergic conditions. However, inverse associations with asthma and hay fever strengthened with increasing age of allergy onset and weakened with longer time since onset. No overall association was observed for parotid gland tumors (OR = 1.21, 95 % CI 0.73-2.02). CONCLUSIONS While allergy history might influence glioma, meningioma, and acoustic neuroma risk, the observed associations could be due to information or selection bias or reverse causality.
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Affiliation(s)
- Michelle C Turner
- McLaughlin Centre for Population Health Risk Assessment, Institute of Population Health, University of Ottawa, One Stewart Street, Room 313, Ottawa, ON, K1N 6N5, Canada.
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18
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Gautam P, Nair SC, Gupta MK, Sharma R, Polisetty RV, Uppin MS, Sundaram C, Puligopu AK, Ankathi P, Purohit AK, Chandak GR, Harsha HC, Sirdeshmukh R. Proteins with altered levels in plasma from glioblastoma patients as revealed by iTRAQ-based quantitative proteomic analysis. PLoS One 2012; 7:e46153. [PMID: 23029420 PMCID: PMC3461020 DOI: 10.1371/journal.pone.0046153] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2012] [Accepted: 08/22/2012] [Indexed: 01/01/2023] Open
Abstract
Glioblastomas (GBMs) are the most common and lethal primary tumors of the central nervous system with high level of recurrence despite aggressive therapy. Tumor-associated proteins/peptides may appear in the plasma of these patients as a result of disruption of the blood-brain barrier in them, raising the scope for development of plasma-based tests for diagnosis and monitoring the disease. With this objective, we analyzed the levels of proteins present in the plasma from GBM patients using an iTRAQ based LC-MS/MS approach. Analysis with pooled plasma specimens from the patient and healthy control samples revealed high confidence identification of 296 proteins, of which 61 exhibited a fold-change ≥1.5 in the patient group. Forty-eight of them contained signal sequence. A majority have been reported in the differentially expressed transcript or protein profile of GBM tissues; 6 have been previously studied as plasma biomarkers for GBM and 16 for other types of cancers. Altered levels of three representative proteins–ferritin light chain (FTL), S100A9, and carnosinase 1 (CNDP1)–were verified by ELISA in a test set of ten individual plasma specimens. FTL is an inflammation marker also implicated in cancer, S100A9 is an important member of the Ca2+ signaling cascade reported to be altered in GBM tissue, and CNDP1 has been reported for its role in the regulation of the levels of carnosine, implicated as a potential drug for GBM. These and other proteins in the dataset may form useful starting points for further clinical investigations for the development of plasma-based biomarker panels for GBM.
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Affiliation(s)
- Poonam Gautam
- Centre for Cellular and Molecular Biology (CSIR), Hyderabad, India
| | - Sudha C. Nair
- Centre for Cellular and Molecular Biology (CSIR), Hyderabad, India
| | | | | | | | | | | | | | | | | | | | | | - Ravi Sirdeshmukh
- Centre for Cellular and Molecular Biology (CSIR), Hyderabad, India
- Institute of Bioinformatics, Bangalore, India
- * E-mail:
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19
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Vauléon E, Tony A, Hamlat A, Etcheverry A, Chiforeanu DC, Menei P, Mosser J, Quillien V, Aubry M. Immune genes are associated with human glioblastoma pathology and patient survival. BMC Med Genomics 2012; 5:41. [PMID: 22980038 PMCID: PMC3507656 DOI: 10.1186/1755-8794-5-41] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2012] [Accepted: 08/06/2012] [Indexed: 01/07/2023] Open
Abstract
Background Glioblastoma (GBM) is the most common and lethal primary brain tumor in adults. Several recent transcriptomic studies in GBM have identified different signatures involving immune genes associated with GBM pathology, overall survival (OS) or response to treatment. Methods In order to clarify the immune signatures found in GBM, we performed a co-expression network analysis that grouped 791 immune-associated genes (IA genes) in large clusters using a combined dataset of 161 GBM specimens from published databases. We next studied IA genes associated with patient survival using 3 different statistical methods. We then developed a 6-IA gene risk predictor which stratified patients into two groups with statistically significantly different survivals. We validated this risk predictor on two other Affymetrix data series, on a local Agilent data series, and using RT-Q-PCR on a local series of GBM patients treated by standard chemo-radiation therapy. Results The co-expression network analysis of the immune genes disclosed 6 powerful modules identifying innate immune system and natural killer cells, myeloid cells and cytokine signatures. Two of these modules were significantly enriched in genes associated with OS. We also found 108 IA genes linked to the immune system significantly associated with OS in GBM patients. The 6-IA gene risk predictor successfully distinguished two groups of GBM patients with significantly different survival (OS low risk: 22.3 months versus high risk: 7.3 months; p < 0.001). Patients with significantly different OS could even be identified among those with known good prognosis (methylated MGMT promoter-bearing tumor) using Agilent (OS 25 versus 8.1 months; p < 0.01) and RT-PCR (OS 21.8 versus 13.9 months; p < 0.05) technologies. Interestingly, the 6-IA gene risk could also distinguish proneural GBM subtypes. Conclusions This study demonstrates the immune signatures found in previous GBM genomic analyses and suggests the involvement of immune cells in GBM biology. The robust 6-IA gene risk predictor should be helpful in establishing prognosis in GBM patients, in particular in those with a proneural GBM subtype, and even in the well-known good prognosis group of patients with methylated MGMT promoter-bearing tumors.
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Affiliation(s)
- Elodie Vauléon
- Department of Medical Oncology, Eugène Marquis Cancer Institute, rue de la bataille Flandres Dunkerque, Rennes 35042, France.
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20
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Abstract
Glioblastoma multiforme (GBM) is the most common primary brain tumor in adults. The development of this malignant glial lesion involves a multi-faceted process that results in a loss of genetic or epigenetic gene control, un-regulated cell growth, and immune tolerance. Of interest, atopic diseases are characterized by a lack of immune tolerance and are inversely associated with glioma risk. One cell type that is an established effector cell in the pathobiology of atopic disease is the eosinophil. In response to various stimuli, the eosinophil is able to produce cytotoxic granules, neuromediators, and pro-inflammatory cytokines as well as pro-fibrotic and angiogenic factors involved in pathogen clearance and tissue remodeling and repair. These various biological properties reveal that the eosinophil is a key immunoregulatory cell capable of influencing the activity of both innate and adaptive immune responses. Of central importance to this report is the observation that eosinophil migration to the brain occurs in response to traumatic brain injury and following certain immunotherapeutic treatments for GBM. Although eosinophils have been identified in various central nervous system pathologies, and are known to operate in wound/repair and tumorstatic models, the potential roles of eosinophils in GBM development and the tumor immunological response are only beginning to be recognized and are therefore the subject of the present review.
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Affiliation(s)
- Colleen S Curran
- Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI 53706, USA
| | - Paul J Bertics
- Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI 53706, USA
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21
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Amlin-Van Schaick JC, Kim S, DiFabio C, Lee MH, Broman KW, Reilly KM. Arlm1 is a male-specific modifier of astrocytoma resistance on mouse Chr 12. Neuro Oncol 2012; 14:160-74. [PMID: 22234937 DOI: 10.1093/neuonc/nor206] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
While many cancers show a sex bias, the genetic basis and molecular mechanisms underlying sex bias are not always clear. Astrocytoma and glioblastoma show male predominance in humans. We have shown previously that glial tumors forming in the Nf1-/+; Trp53-/+cis (NPcis) mouse model also show a sex bias in some genetic contexts. Using cross-species comparisons we have identified candidate male-specific modifiers of astrocytoma/glioblastoma. Linkage analysis of B6X(B6X129)-NPcis mice identifies a modifier of astrocytoma resistance specific to males, named Arlm1, on distal mouse Chr 12. Arlm1 is syntenic to human Chr 7p15, 7p21, 7q36, and 14q32 regions that are altered in human glioblastoma. A subset of these genes shows male-specific correlations to glioblastoma patient survival time and represents strong candidates for the Arlm1 modifier gene. Identification of male-specific modifier genes will lead to a better understanding of the molecular basis of male predominance in astrocytoma and glioblastoma.
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Affiliation(s)
- Jessica C Amlin-Van Schaick
- Mouse Cancer Genetics Program, National Cancer Institute, West 7th St at Fort Detrick, Frederick, MD 21702, USA
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22
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Davis FG, Al-Alem U. Allergies and adult gliomas: cohort results strengthen evidence for a causal association. J Natl Cancer Inst 2011; 103:1562-3. [PMID: 22010179 DOI: 10.1093/jnci/djr397] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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Platzer B, Ruiter F, van der Mee J, Fiebiger E. Soluble IgE receptors--elements of the IgE network. Immunol Lett 2011; 141:36-44. [PMID: 21920387 DOI: 10.1016/j.imlet.2011.08.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2011] [Revised: 08/15/2011] [Accepted: 08/27/2011] [Indexed: 12/22/2022]
Abstract
Soluble isoforms of three human IgE Fc receptors, namely FcεRI, FcεRII, and galectin-3, can be found in serum. These soluble IgE receptors are a diverse family of proteins unified by the characteristic of interacting with IgE in the extracellular matrix. A truncated form of the alpha-chain of FcεRI, the high affinity IgE receptor, has recently been described as a soluble isoform (sFcεRI). Multiple soluble isoforms of CD23 (sCD23), the low affinity IgE receptor also known as FcεRII, are generated via different mechanisms of extracellular and intracellular proteolysis. The second low affinity IgE receptor, galectin-3, only exists as a secretory protein. We here discuss the physiological roles of these three soluble IgE receptors as elements of the human IgE network. Additionally, we review the potential and current use of sFcεRI, sCD23, and galectin-3 as biomarkers in human disease.
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Affiliation(s)
- Barbara Platzer
- Division of Gastroenterology and Nutrition, Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA 02115, United States
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A functional polymorphism in the pre-miR-146a gene is associated with risk and prognosis in adult glioma. J Neurooncol 2011; 105:639-46. [PMID: 21744077 DOI: 10.1007/s11060-011-0634-1] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2011] [Accepted: 06/17/2011] [Indexed: 01/05/2023]
Abstract
MicroRNAs (miRNAs) are non-coding RNAs that function as post-transcriptional regulators of tumor suppressors and oncogenes. Single nucleotide polymorphisms (SNPs) in miRNAs may contribute to carcinogenesis by altering expression of miRNAs and their targets. A G>C polymorphism (rs2910164) in the miR-146a precursor sequence leads to a functional change associated with the risk for numerous malignancies. A role for this SNP in glioma pathogenesis has not yet been examined. We investigated whether rs2910164 genotypes influence glioma risk and prognosis in a multi-center case-control study comprised of 593 Caucasian glioma cases and 614 community-based controls. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for rs2910164 genotypes according to case status. Cox proportional hazards regression modeling was used to estimate hazards ratios (HR) and 95% CIs according to genotype among glioblastomas, the most lethal glioma subtype. An increased glioma risk was observed among rs2910164 minor allele (C) carriers (per allele OR (95% CI) = 1.22 (1.01-1.46, p (trend) = 0.039)). The association was stronger among older subjects carrying at least one copy of the C allele (OR (95% CI) = 1.38 (1.04-1.83, P = 0.026). Mortality was increased among minor allele carriers (HR (95% CI) = 1.33 (1.03-1.72, P = 0.029)), with the association largely restricted to females (HR (95% CI) = 2.02 (1.28-3.17, P = 0.002)). We provide novel data suggesting rs2910164 genotype may contribute to glioma susceptibility and outcome. Future studies are warranted to replicate these findings and characterize mechanisms underlying these associations.
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Wiemels JL, Wrensch M, Sison JD, Zhou M, Bondy M, Calvocoressi L, Black PM, Yu H, Schildkraut JM, Claus EB. Reduced allergy and immunoglobulin E among adults with intracranial meningioma compared to controls. Int J Cancer 2011; 129:1932-9. [PMID: 21520030 DOI: 10.1002/ijc.25858] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Revised: 11/01/2010] [Accepted: 12/02/2010] [Indexed: 01/09/2023]
Abstract
Meningioma, the most frequent tumor in the central nervous system, has few recognized risk factors. We explored the role of allergies in a population-based case-control consortium study of meningioma in five geographic areas. We also studied serum levels of a marker of atopic allergy (IgE) in a subset of study participants, a first for a study on meningioma. Participants (N = 1,065) with surgically resected, pathologically confirmed meningioma and controls (N = 634) selected via random-digit dialing were recruited and interviewed. Cases were less likely than controls to report history of physician-diagnosed allergy [odds ratio (OR) = 0.64; 95% confidence interval (95% CI): 0.51-0.80]. Also, cases (N = 295) had lower total serum IgE than controls [N = 192; OR = 0.85, 95% CI: 0.75-0.98 for each unit of Ln(IgE)]. Similar to glioma and cancers at several other sites, meningioma appears to have an inverse relationship with history of allergies and a biomarker of atopic allergy. As some common opposing predisposition or developmental processes for allergy and meningioma may exist, further research into immune processes that can affect the incidence and natural history of meningioma is warranted.
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Affiliation(s)
- Joseph L Wiemels
- Department of Neurosurgery and Epidemiology and Biostatistics, University of California at San Francisco School of Medicine, San Francisco, CA 94158, USA.
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