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1
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Hao J, Liu T, Xiu Y, Yuan H, Xu D. High DNA methylation age deceleration defines an aggressive phenotype with immunoexclusion environments in endometrial carcinoma. Front Immunol 2023; 14:1208223. [PMID: 37388735 PMCID: PMC10303802 DOI: 10.3389/fimmu.2023.1208223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/30/2023] [Indexed: 07/01/2023] Open
Abstract
Like telomere shortening, global DNA hypomethylation occurs progressively with cellular divisions or in vivo aging and functions as a mitotic clock to restrain malignant transformation/progression. Several DNA-methylation (DNAm) age clocks have been established to precisely predict chronological age using normal tissues, but show DNAm age drift in tumors, which suggests disruption of this mitotic clock during carcinogenesis. Little is known about DNAm age alterations and biological/clinical implications in endometrial cancer (EC). Here we address these issues by analyzing TCGA and GSE67116 cohorts of ECs. Horvath clock analysis of these tumors unexpectedly revealed that almost 90% of them exhibited DNAm age deceleration (DNAmad) compared to patient chronological age. Combined with an additional clock named Phenoage, we identified a subset of tumors (82/429) with high DNAmad (hDNAmad+) as assessed by both clocks. Clinically, hDNAmad+ tumors were associated with advanced diseases and shorter patient survival, compared to hDNAmad- ones. Genetically, hDNAmad+ tumors were characterized by higher copy number alterations (CNAs) whereas lower tumor mutation burden. Functionally, hDNAmad+ tumors were enriched with cell cycle and DNA mismatch repair pathways. Increased PIK3CA alterations and downregulation of SCGB2A1, the inhibitor of PI3K kinase, in hDNAmad+ tumors, might promote tumor growth/proliferation and stemness. In addition, the inactivation of aging drivers/tumor suppressors (TP53, RB1, and CDKN2A) while enhanced telomere maintenance occurred more frequently in hDNAmad+ tumors, which supports sustained tumor growth. Prominently, hDNAmad+ tumors were featured with immunoexclusion microenvironments, accompanied by significantly higher levels of VTCN1 expression while lower PD-L1 and CTLA4 expression, which indicates their poor response to immune checkpoint inhibitor (ICI)-based immunotherapy. We further showed significantly higher levels of DNMT3A and 3B expression in hDNAmad+ than in hDNAmad- tumors. Thus, the tumor suppressive function of aging-like DNA hypomethylation is severely impaired in hDNAmad+ tumors, likely due to enhanced expression of DNMT3A/3B and dysregulated aging regulators. Our findings not only enrich biological knowledge of EC pathogenesis but also help improve EC risk stratification and precision ICI immunotherapy.
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Affiliation(s)
- Jing Hao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, China
| | - Tiantian Liu
- Department of Pathology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yuchen Xiu
- Department of Pathology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Huiyang Yuan
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Dawei Xu
- Department of Medicine, Bioclinicum and Center for Molecular Medicine (CMM), Karolinska Institutet and Karolinska University Hospital Solna, Stockholm, Sweden
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2
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Gorbokon N, Timm P, Dum D, Menz A, Büscheck F, Völkel C, Hinsch A, Lennartz M, Luebke AM, Hube-Magg C, Fraune C, Krech T, Lebok P, Clauditz TS, Jacobsen F, Sauter G, Uhlig R, Steurer S, Minner S, Marx AH, Simon R, Burandt E, Bernreuther C, Höflmayer D. Mammaglobin-A Expression Is Highly Specific for Tumors Derived from the Breast, the Female Genital Tract, and the Salivary Gland. Diagnostics (Basel) 2023; 13:diagnostics13061202. [PMID: 36980510 PMCID: PMC10047670 DOI: 10.3390/diagnostics13061202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/03/2023] [Accepted: 03/10/2023] [Indexed: 03/30/2023] Open
Abstract
Human mammaglobin-A (SCGB2A2) is a secretory protein with an unknown function that is used as a diagnostic marker for breast cancer. However, other tumors can also express mammaglobin-A. To comprehensively study patterns of mammaglobin-A expression, a tissue microarray containing 16,328 samples from 128 different tumor types as well as 608 samples of 76 different normal tissue types was analyzed using immunohistochemistry. Mammaglobin-A positivity was found in only a few normal tissues, including luminal cells of the breast as well as endocervical and endometrial glands. In tumor tissues, 37 of 128 tumor categories showed mamma-globin-A staining, 32 of which were derived from one of four organs: breast (6 tumor categories), endometrium (5 tumor categories), ovary (5 tumor categories), and salivary glands (16 tumor categories). Only five additional tumor types showed occasional weak mammaglobin positivity, including medullary thyroid cancer, teratoma of the testis, squamous cell carcinoma of the skin and pharynx, and prostatic adenocarcinoma. Among 1139 evaluable invasive breast carcinomas of no special type, low mammaglobin-A immunostaining was linked to high BRE grade (p = 0.0011), loss of estrogen and progesterone receptor expression (p < 0.0001 each), and triple-negative status (p < 0.0001) but not to patient survival. In endometrial cancer, mammaglobin-A loss was linked to an advanced tumor stage (p = 0.0198). Our data characterize mammaglobin-A as a highly specific marker for tumors derived from either the breast, female genitals, or salivary gland.
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Affiliation(s)
- Natalia Gorbokon
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Patrick Timm
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - David Dum
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Anne Menz
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Franziska Büscheck
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Cosima Völkel
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Andrea Hinsch
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Maximilian Lennartz
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Andreas M Luebke
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Claudia Hube-Magg
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Christoph Fraune
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Till Krech
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
- Institute of Pathology, Clinical Center Osnabrueck, D-49076 Osnabrueck, Germany
| | - Patrick Lebok
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Till S Clauditz
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Frank Jacobsen
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Guido Sauter
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Ria Uhlig
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Stefan Steurer
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Sarah Minner
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Andreas H Marx
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
- Institute of Pathology, Academic Hospital Fuerth, D-90766 Fuerth, Germany
| | - Ronald Simon
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Eike Burandt
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Christian Bernreuther
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
| | - Doris Höflmayer
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany
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3
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Mootz M, Jakwerth CA, Schmidt‐Weber CB, Zissler UM. Secretoglobins in the big picture of immunoregulation in airway diseases. Allergy 2022; 77:767-777. [PMID: 34343347 DOI: 10.1111/all.15033] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/31/2021] [Indexed: 12/15/2022]
Abstract
The proteins of the secretoglobin (SCGB) family are expressed by secretory tissues of barrier organs. They are embedded in immunoregulatory and anti-inflammatory processes of airway diseases. This review particularly illustrates the immune regulation of SCGBs by cytokines and their implication in the pathophysiology of airway diseases. The biology of SCGBs is a complex topic of increasing importance, as they are highly abundant in the respiratory tract and can also be detected in malignant tissues and as elements of immune control. In addition, SCGBs react to cytokines, they are embedded in Th1 and Th2 immune responses, and they are expressed in a manner dependent on cell maturation. The big picture of the SCGB family identifies these factors as critical elements of innate immune control at the epithelial barriers and highlights their potential for diagnostic assessment of epithelial activity. Some members of the SCGB family have so far only been superficially examined, but have high potential for translational research.
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Affiliation(s)
- Martine Mootz
- Center of Allergy & Environment (ZAUM) Technical University of Munich (TUM) and Helmholtz Center MunichGerman Research Center for Environmental Health (HMGU) Munich Germany
- Member of the German Center of Lung Research (DZL)CPC‐M Munich Germany
- Technical University of Munich (TUM)TUM School of MedicineKlinikum Rechts der Isar Munich Germany
| | - Constanze A. Jakwerth
- Center of Allergy & Environment (ZAUM) Technical University of Munich (TUM) and Helmholtz Center MunichGerman Research Center for Environmental Health (HMGU) Munich Germany
- Member of the German Center of Lung Research (DZL)CPC‐M Munich Germany
| | - Carsten B. Schmidt‐Weber
- Center of Allergy & Environment (ZAUM) Technical University of Munich (TUM) and Helmholtz Center MunichGerman Research Center for Environmental Health (HMGU) Munich Germany
- Member of the German Center of Lung Research (DZL)CPC‐M Munich Germany
| | - Ulrich M. Zissler
- Center of Allergy & Environment (ZAUM) Technical University of Munich (TUM) and Helmholtz Center MunichGerman Research Center for Environmental Health (HMGU) Munich Germany
- Member of the German Center of Lung Research (DZL)CPC‐M Munich Germany
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4
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Kim M, Park J, Bouhaddou M, Kim K, Rojc A, Modak M, Soucheray M, McGregor MJ, O'Leary P, Wolf D, Stevenson E, Foo TK, Mitchell D, Herrington KA, Muñoz DP, Tutuncuoglu B, Chen KH, Zheng F, Kreisberg JF, Diolaiti ME, Gordan JD, Coppé JP, Swaney DL, Xia B, van 't Veer L, Ashworth A, Ideker T, Krogan NJ. A protein interaction landscape of breast cancer. Science 2021; 374:eabf3066. [PMID: 34591612 PMCID: PMC9040556 DOI: 10.1126/science.abf3066] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Minkyu Kim
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Jisoo Park
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA
| | - Mehdi Bouhaddou
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Kyumin Kim
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Ajda Rojc
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Maya Modak
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Margaret Soucheray
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Michael J McGregor
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Patrick O'Leary
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Denise Wolf
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Erica Stevenson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Tzeh Keong Foo
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Dominique Mitchell
- Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.,Division of Hematology/Oncology, University of California, San Francisco, CA, USA
| | - Kari A Herrington
- Department of Biochemistry and Biophysics, Center for Advanced Light Microscopy, University of California, San Francisco, CA, USA
| | - Denise P Muñoz
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Kuei-Ho Chen
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Fan Zheng
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA
| | - Jason F Kreisberg
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA
| | - Morgan E Diolaiti
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - John D Gordan
- Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.,Division of Hematology/Oncology, University of California, San Francisco, CA, USA
| | - Jean-Philippe Coppé
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Danielle L Swaney
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Bing Xia
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Laura van 't Veer
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Alan Ashworth
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Trey Ideker
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA.,Department of Bioengineering, University of California, San Diego, CA, USA
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
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5
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Li J, Xu W, Zhu Y. Mammaglobin B may be a prognostic biomarker of uterine corpus endometrial cancer. Oncol Lett 2020; 20:255. [PMID: 32994818 PMCID: PMC7509766 DOI: 10.3892/ol.2020.12118] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 07/23/2020] [Indexed: 02/06/2023] Open
Abstract
Mammaglobin B, also referred to as secretoglobin family 2A member 1 (SCGB2A1), has been reported to be highly expressed in uterine corpus endometrial cancer (UCEC) compared with in the normal endometrium. However, the prognostic value of SCGB2A1 in UCEC remains unclear. The Oncomine, The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium databases were used to explore the differential expression of SCGB2A1. Furthermore, data of patients with UCEC were downloaded from TCGA, and logistic regression analysis, survival analysis, univariate and multivariate analyses, and nomogram construction were performed to identify its prognostic value in UCEC. Additionally, gene set enrichment analysis (GSEA) was utilized to estimate the mechanisms of SCGB2A1 in UCEC. Finally, immune infiltration of SCGB2A1 in UCEC was analyzed using the Tumor Immune Estimation Resource. Decreased mRNA and protein expression levels of SCGB2A1 were significantly associated with poor prognostic clinicopathological characteristics (all P<0.05). Additionally, low expression levels of SCGB2A1 were associated with decreased survival of patients with UCEC compared with high expression levels of SCGB2A1. Furthermore, the independent prognostic value of SCGB2A1 in UCEC was identified by univariate and multivariate analyses. A nomogram based on 6 variables, including SCGB2A1 expression, was developed for the estimation of the 1-, 3-, and 5-year survival probability in UCEC. Additionally, GSEA suggested that the vascular endothelial growth factor, PTEN, platelet-derived growth factor, DNA repair, KRAS signaling, and PI3K-AKT-mTOR signaling pathways were differentially enriched in the low SCGB2A1 expression phenotype. Finally, high infiltration levels of CD8+ T cells were associated with SCGB2A1 in UCEC and this was associated with prognosis. The present results indicated that SCGB2A1 may be a promising independent prognostic factor in UCEC. These signaling pathways may be crucial for the regulation of UCEC via SCGB2A1.
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Affiliation(s)
- Jie Li
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.,Department of Oncology, Jinshan Hospital of The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.,Chongqing Clinical Cancer Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China
| | - Wenwen Xu
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.,Department of Oncology, Jinshan Hospital of The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.,Chongqing Clinical Cancer Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China
| | - Yuxi Zhu
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.,Department of Oncology, Jinshan Hospital of The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.,Chongqing Clinical Cancer Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China
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6
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Aghamollaei H, Parvin S, Shahriary A. Review of proteomics approach to eye diseases affecting the anterior segment. J Proteomics 2020; 225:103881. [PMID: 32565161 DOI: 10.1016/j.jprot.2020.103881] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/08/2020] [Accepted: 06/16/2020] [Indexed: 01/12/2023]
Abstract
Visual impairment and blindness is a major health burden worldwide, and major ocular diseases causing visual impairment pertain to the anterior segment of the eye. Anterior segment ocular diseases are common, yet complex entities. Although many treatment options and surgical techniques are available for these ailments, the underlying cause and pathogenesis is still unclear. Finding ways to fundamentally treat these patients and rectify the underlying dysregulations leading to the disease may help cure patients completely without major complications. Proteomics approaches are a novel way to distinguish dysregulated proteins in a variety of biological tissues in a hypothesis-free manner, thus helping to find the responsible pathways leading to a certain disease. The aim of the current study is to review the available knowledge in scientific literature regarding the proteomics studies done on anterior segment eye diseases and suggest potential clinical implications to exploit the results of these studies. SIGNIFICANCE: Anterior segment ocular diseases are responsible for a major proportion of visual impairment and blindness worldwide. Although ophthalmologists have several treatment options that can alleviate or control the progression of these diseases, no definite cure is available for most of them. Moreover, because these diseases are progressive, prompt diagnosis is of utmost important. Proteomics studies enable us to identify and quantify the dysregulated proteins in a biological specimen in a hypothesis-free manner. Understanding the dysregulated protein pathways shines a light on the pathogenesis of the disease. Moreover, these dysregulated proteins may act as biomarkers to help in diagnosis and treatment follow-up. Hence, in this article we sought out to review the available scientific literature regarding the proteomics studies of anterior segment ocular diseases and to identify potential applications of proteomic studies in clinic.
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Affiliation(s)
- Hossein Aghamollaei
- Chemical Injuries Research Center, Systems biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Shahram Parvin
- Chemical Injuries Research Center, Systems biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Alireza Shahriary
- Chemical Injuries Research Center, Systems biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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7
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Zhou H, Zou X, Li H, Li T, Chen L, Cheng X. Decreased secretoglobin family 2A member 1expression is associated with poor outcomes in endometrial cancer. Oncol Lett 2020; 20:24. [PMID: 32774497 PMCID: PMC7406884 DOI: 10.3892/ol.2020.11885] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 06/05/2020] [Indexed: 01/14/2023] Open
Abstract
Endometrial cancer is the most common malignancies in developed countries. The present study aimed to identify the role of secretoglobin family 2A member 1 (SCGB2A1) expression in uteri corpus endometrial carcinoma (UCEC) from The Cancer Genome Atlas (TCGA) database, and determine the SCGB2A1-associated downstream signaling pathways. The clinicopathological characteristics and gene expression data were downloaded from TCGA database. The Kaplan-Meier method and Cox multivariate model were used for survival analysis. Logistic regression was used to analyze the association between the clinicopathological features and SCGB2A1 expression. For validation, data of SCGB2A1 mRNA expression and protein expression were obtained and then survival analysis was performed for 47 patients with endometrial cancer from the Fudan University Shanghai Cancer Center (FUSCC). In TCGA dataset, SCGB2A1 expression was significantly higher in tumor tissues (n=528) compared with normal tissues (n=23, P<0.001). The decrease in SCGB2A1 expression in UCEC was significantly associated with age at diagnosis, high tumor grade, residual tumor, positive peritoneal cytology, pelvic lymph node metastasis, para-aortic lymph node metastasis and advanced clinical stage with P<0.05. In the multivariate analysis, SCGB2A1 expression was identified as an independent prognostic factor. In the FUSCC validation set, low SCGB2A1 expression was also associated with worse survival compared with high expression in endometrial cancer (P<0.001). Gene Set Enrichment Analysis revealed that SCGB2A1 may be involved in tumor proliferation and cell cycle regulation. In conclusion, SCGB2A1 may have an important role in the prognosis of UCEC, and has value as a new target for novel therapeutic strategies.
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Affiliation(s)
- Hongyu Zhou
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
| | - Xuan Zou
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.,Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Haoran Li
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.,Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Tianjiao Li
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Lihua Chen
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.,Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Xi Cheng
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
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8
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Huang CY, Liao KW, Chou CH, Shrestha S, Yang CD, Chiew MY, Huang HT, Hong HC, Huang SH, Chang TH, Huang HD. Pilot Study to Establish a Novel Five-Gene Biomarker Panel for Predicting Lymph Node Metastasis in Patients With Early Stage Endometrial Cancer. Front Oncol 2020; 9:1508. [PMID: 32039004 PMCID: PMC6985442 DOI: 10.3389/fonc.2019.01508] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 12/16/2019] [Indexed: 12/27/2022] Open
Abstract
Introduction: In the United States and Europe, endometrial endometrioid carcinoma (EEC) is the most prevalent gynecologic malignancy. Lymph node metastasis (LNM) is the key determinant of the prognosis and treatment of EEC. A biomarker that predicts LNM in patients with EEC would be beneficial, enabling individualized treatment. Current preoperative assessment of LNM in EEC is not sufficiently accurate to predict LNM and prevent overtreatment. This pilot study established a biomarker signature for the prediction of LNM in early stage EEC. Methods: We performed RNA sequencing in 24 clinically early stage (T1) EEC tumors (lymph nodes positive and negative in 6 and 18, respectively) from Cathay General Hospital and analyzed the RNA sequencing data of 289 patients with EEC from The Cancer Genome Atlas (lymph node positive and negative in 33 and 256, respectively). We analyzed clinical data including tumor grade, depth of tumor invasion, and age to construct a sequencing-based prediction model using machine learning. For validation, we used another independent cohort of early stage EEC samples (n = 72) and performed quantitative real-time polymerase chain reaction (qRT-PCR). Finally, a PCR-based prediction model and risk score formula were established. Results: Eight genes (ASRGL1, ESR1, EYA2, MSX1, RHEX, SCGB2A1, SOX17, and STX18) plus one clinical parameter (depth of myometrial invasion) were identified for use in a sequencing-based prediction model. After qRT-PCR validation, five genes (ASRGL1, RHEX, SCGB2A1, SOX17, and STX18) were identified as predictive biomarkers. Receiver operating characteristic curve analysis revealed that these five genes can predict LNM. Combined use of these five genes resulted in higher diagnostic accuracy than use of any single gene, with an area under the curve of 0.898, sensitivity of 88.9%, and specificity of 84.1%. The accuracy, negative, and positive predictive values were 84.7, 98.1, and 44.4%, respectively. Conclusion: We developed a five-gene biomarker panel associated with LNM in early stage EEC. These five genes may represent novel targets for further mechanistic study. Our results, after corroboration by a prospective study, may have useful clinical implications and prevent unnecessary elective lymph node dissection while not adversely affecting the outcome of treatment for early stage EEC.
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Affiliation(s)
- Chia-Yen Huang
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.,Department of Obstetrics and Gynecology, Gynecologic Cancer Center, Cathay General Hospital, Taipei, Taiwan.,School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Kuang-Wen Liao
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.,Institute of Molecular Medicine and Bioengineering, National Chiao Tung University, Hsinchu, Taiwan
| | - Chih-Hung Chou
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.,Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Chiao Tung University, Hsinchu, Taiwan.,Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan
| | - Sirjana Shrestha
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
| | - Chi-Dung Yang
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.,School of Life and Health Sciences, Chinese University of Hong Kong, Shenzhen, China.,Warshel Institute for Computational Biology, Chinese University of Hong Kong, Shenzhen, China
| | - Men-Yee Chiew
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
| | - Hsin-Tzu Huang
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
| | - Hsiao-Chin Hong
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.,Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.,School of Life and Health Sciences, Chinese University of Hong Kong, Shenzhen, China.,Warshel Institute for Computational Biology, Chinese University of Hong Kong, Shenzhen, China
| | - Shih-Hung Huang
- Department of Pathology, Cathay General Hospital, Taipei, Taiwan
| | - Tzu-Hao Chang
- International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.,Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Hsien-Da Huang
- School of Life and Health Sciences, Chinese University of Hong Kong, Shenzhen, China.,Warshel Institute for Computational Biology, Chinese University of Hong Kong, Shenzhen, China
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9
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Baker E, Whiteoak N, Hall L, France J, Wilson D, Bhaskar P. Mammaglobin-A, VEGFR3, and Ki67 in Human Breast Cancer Pathology and Five Year Survival. BREAST CANCER-BASIC AND CLINICAL RESEARCH 2019; 13:1178223419858957. [PMID: 31263371 PMCID: PMC6595648 DOI: 10.1177/1178223419858957] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 05/29/2019] [Indexed: 12/21/2022]
Abstract
Background/Methods: This study determines the co-expression of mammaglobin-A, vascular endothelial growth factor receptor-3 (VEGFR3) and Ki67 by immunohistochemistry (IHC) in tissue samples from 80 patients undergoing breast surgery (cancer or benign disease). The tissue expression was compared with the tumour histopathology and Kaplan Meier 5-year survival analysis was performed. Results: Positive breast tissue expression was observed in 53% samples for mammaglobin, 41% Ki67 and 65% VEGFR3 with a significant positive correlation between Ki67 and VEGFR3 co-expression. Ki67 and VEGFR3 expression correlated with the breast tumour grade and Ki67 expression also correlated with oestrogen receptor (ER) status. At 5 years post-operatively, 6/80 patients had died and 3 patients were alive but had cancer recurrence. High Ki67 expression significantly correlated with poor survival (disease-free and overall). Conclusions: In this study, VEGFR3 and Ki67 expression but not mammaglobin-A correlated with breast tumour pathology. Positive Ki67 expression was also associated with a poor 5-year survival outcome.
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Affiliation(s)
- Elizabeth Baker
- Department of Surgery, University Hospital of North Tees, Stockton on Tees, UK
- Elizabeth Baker, Department of Surgery, University Hospital of North Tees, Stockton on Tees TS19 8PE, UK.
| | - Naomi Whiteoak
- Department of Histopathology, University Hospital of North Tees, Stockton on Tees, UK
| | - Louise Hall
- Department of Histopathology, University Hospital of North Tees, Stockton on Tees, UK
| | - James France
- Department of Histopathology, University Hospital of North Tees, Stockton on Tees, UK
| | - Deborah Wilson
- Department of Surgery, University Hospital of North Tees, Stockton on Tees, UK
| | - Pudupalayam Bhaskar
- Department of Surgery, University Hospital of North Tees, Stockton on Tees, UK
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10
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Dieters-Castator DZ, Rambau PF, Kelemen LE, Siegers GM, Lajoie GA, Postovit LM, Köbel M. Proteomics-Derived Biomarker Panel Improves Diagnostic Precision to Classify Endometrioid and High-grade Serous Ovarian Carcinoma. Clin Cancer Res 2019; 25:4309-4319. [PMID: 30979743 DOI: 10.1158/1078-0432.ccr-18-3818] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 02/18/2019] [Accepted: 04/08/2019] [Indexed: 11/16/2022]
Abstract
PURPOSE Ovarian carcinomas are a group of distinct diseases classified by histotypes. As histotype-specific treatment evolves, accurate classification will become critical for optimal precision medicine approaches. EXPERIMENTAL DESIGN To uncover differences between the two most common histotypes, high-grade serous (HGSC) and endometrioid carcinoma, we performed label-free quantitative proteomics on freshly frozen tumor tissues (HGSC, n = 10; endometrioid carcinoma, n = 10). Eight candidate protein biomarkers specific to endometrioid carcinoma were validated by IHC using tissue microarrays representing 361 cases of either endometrioid carcinoma or HGSC. RESULTS More than 500 proteins were differentially expressed (P < 0.05) between endometrioid carcinoma and HGSC tumor proteomes. A ranked set of 106 proteins was sufficient to correctly discriminate 90% of samples. IHC validated KIAA1324 as the most discriminatory novel biomarker for endometrioid carcinoma. An 8-marker panel was found to exhibit superior performance for discriminating endometrioid carcinoma from HGSC compared with the current standard of WT1 plus TP53 alone, improving the classification rate for HGSC from 90.7% to 99.2%. Endometrioid carcinoma-specific diagnostic markers such as PLCB1, KIAA1324, and SCGB2A1 were also significantly associated with favorable prognosis within endometrioid carcinoma suggesting biological heterogeneity within this histotype. Pathway analysis of proteomic data revealed differences between endometrioid carcinoma and HGSC pertaining to estrogen and interferon signalling. CONCLUSIONS In summary, these findings support the use of multi-marker panels for the differential diagnosis of difficult cases resembling endometrioid carcinoma and HGSC.
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Affiliation(s)
- Dylan Z Dieters-Castator
- Department of Anatomy and Cell Biology, Western University, London, Ontario, Canada.,Department of Oncology University of Alberta, Edmonton, Alberta, Canada
| | - Peter F Rambau
- Pathology Department, Catholic University of Health and Allied Sciences-Bugando, Mwanza, Tanzania
| | - Linda E Kelemen
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina
| | | | - Gilles A Lajoie
- Department of Biochemistry, Western University, London, Ontario, Canada.
| | - Lynne-Marie Postovit
- Department of Anatomy and Cell Biology, Western University, London, Ontario, Canada. .,Department of Oncology University of Alberta, Edmonton, Alberta, Canada.,Department of Obstetrics and Gynecology, University of Alberta, Edmonton, Alberta, Canada
| | - Martin Köbel
- Department of Pathology and Laboratory Medicine, University of Calgary, Foothills Medical Center, Calgary, Alberta, Canada.
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11
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Hassan EM, Willmore WG, McKay BC, DeRosa MC. In vitro selections of mammaglobin A and mammaglobin B aptamers for the recognition of circulating breast tumor cells. Sci Rep 2017; 7:14487. [PMID: 29101327 PMCID: PMC5670216 DOI: 10.1038/s41598-017-13751-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 09/29/2017] [Indexed: 01/06/2023] Open
Abstract
Mammaglobin B (MGB2) and mammaglobin A (MGB1) are proteins expressed in metastatic breast cancers. The early detection of circulating tumor cells (CTCs) in breast cancer patients is crucial to decrease mortality rate. Herein, novel aptamers were successfully selected and characterized against MGB2 and MGB1 proteins using a hybrid SELEX approach. The potential use of the selected aptamers in breast CTC detection was studied using spiked breast cancer cells in whole blood lysate. The results obtained from this study showed that the selected aptamers (MAMB1 and MAMA2) bind to their target breast cancer cell lines with high affinity (low nanomolar Kd values) and specificity. They also bind to their free recombinant target proteins and show minimal non-specific binding to normal and other cancer cell lines. Additionally, they were able to distinguish a low number of breast cancer cells spiked in whole blood lysate containing normal blood cells. The results obtained in this study indicate the great potential for the use of aptamers to detect MGB1 and MGB2 protein biomarkers, expressed on the surface of breast CTCs.
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Affiliation(s)
- Eman M Hassan
- Institut national de la recherche scientifique - Energie, Materiaux Telecommunication 1650 boul. Lionel-Boulet, Varennes, Quebec, J3X1S2, Canada
- Department of Chemistry, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
| | - William G Willmore
- Institute of Biochemistry, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
- Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
| | - Bruce C McKay
- Institute of Biochemistry, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
- Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
| | - Maria C DeRosa
- Institute of Biochemistry, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada.
- Department of Chemistry, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada.
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12
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Wong RLY, Wang Q, Treviño LS, Bosland MC, Chen J, Medvedovic M, Prins GS, Kannan K, Ho SM, Walker CL. Identification of secretaglobin Scgb2a1 as a target for developmental reprogramming by BPA in the rat prostate. Epigenetics 2015; 10:127-34. [PMID: 25612011 DOI: 10.1080/15592294.2015.1009768] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Secretoglobins are a superfamily of secreted proteins thought to participate in inflammation, tissue repair, and tumorigenesis. Secretoglobin family 2A member 1 (Scgb2a1) is a component of prostatein, a major androgen-binding protein secreted by the rat prostate. Using a rat model for developmental reprogramming of susceptibility to prostate carcinogenesis, we identified, by RNA-seq, that Scgb2a1 is significantly upregulated (>100-fold) in the prostate of adult rats neonatally exposed to bisphenol A (BPA), with increased gene expression confirmed by quantitative RT-PCR and chromatin immunoprecipitation for histone H3 lysine 9 acetylation. Bisulfite analysis of both CpG islands located within 10 kb of the Scgb2a1 promoter identified significant hypomethylation of the CpG island upstream of the transcription start site of this gene in the reprogrammed prostate. These data suggest that expression of Scgb2a1 in the adult prostate could be epigenetically reprogrammed by BPA exposure during prostate development, with potential implications for cancer risk and response to chemotherapeutics associated with prostatein binding.
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Affiliation(s)
- Rebecca Lee Yean Wong
- a Center for Translational Cancer Research; Institute of Biosciences and Technology ; The Texas A&M University System Health Science Center ; Houston , TX USA
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13
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Abstract
Clinical outcomes, such as recurrence-free survival and overall survival, in ovarian cancer are quite variable, independent of common characteristics such as stage, response to therapy, and grade. This disparity in outcomes warrants further exploration and therapeutic targeting into the interaction between the tumor and host. One compelling host characteristic that contributes both to the initiation and progression of ovarian cancer is the immune system. Hundreds of studies have confirmed a prominent role for the immune system in modifying the clinical course of the disease. Recent studies also show that anti-tumor immunity is often negated by immune regulatory cells present in the tumor microenvironment. Regulatory immune cells also directly enhance the pathogenesis through the release of various cytokines and chemokines, which together form an integrated pathological network. Thus, in the future, research into immunotherapy targeting ovarian cancer will probably become increasingly focused on combination approaches that simultaneously augment immunity while preventing local immune suppression. In this article, we summarize important immunological targets that influence ovarian cancer outcome as well as include an update on newer immunotherapeutic strategies.
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Affiliation(s)
- Keith L Knutson
- Cancer Vaccines and Immune Therapies Program, The Vaccine and Gene Therapy Institute of Florida, 9801 SW Discovery Way, Port St. Lucie, FL, 34949, USA,
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14
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Munakata K, Uemura M, Takemasa I, Ozaki M, Konno M, Nishimura J, Hata T, Mizushima T, Haraguchi N, Noura S, Ikenaga M, Okamura S, Fukunaga M, Murata K, Yamamoto H, Doki Y, Mori M. SCGB2A1 is a novel prognostic marker for colorectal cancer associated with chemoresistance and radioresistance. Int J Oncol 2014; 44:1521-8. [PMID: 24585249 DOI: 10.3892/ijo.2014.2316] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2013] [Accepted: 12/27/2013] [Indexed: 11/05/2022] Open
Abstract
We recently showed that liver metastatic tissue from patients with colorectal cancer (CRC) was a useful model for identifying novel, hypoxia-inducible genes and prognostic markers. We showed that the expression of secretoglobin, family 2A, member 1 (SCGB2A1) was a potential prognostic factor for CRC. Here, we further evaluated the prognostic impact and function of SCGB2A1 in 222 patients with CRC. The impact of SCGB2A1 expression on disease-free survival (DFS) and overall survival (OS) was assessed with mRNA expression profiling. The function of SCGB2A1 was analyzed by evaluating mRNA expression profiles in cells derived from patients with CRC and by testing the effects of transfecting SCGB2A1 into different CRC-derived cell lines. We evaluated the effects of SCGB2A1 on proliferation, chemosensitivity, radiation sensitivity and sphere formation. Univariate and multivariate analyses indicated that the expression of SCGB2A1 was an independent prognostic factor for CRC (p<0.05), together with lymph node metastasis (p<0.05). Enforced expression of SCGB2A1 in CRC-derived cell lines promoted proliferation (DLD1, SW480 and LoVo cells; p<0.05), decreased chemosensitivity to 5-fluorouracil and oxaliplatin (DLD1 and SW480 cell lines; p<0.05), and significantly increased the viability of irradiated cells (DLD1, SW480 and LoVo cell lines; p<0.05). SCGB2A1 expression was also correlated to cancer stemness-related genes (Wnt, Zeb1 and Twist). Consistent with this correlation, SCGB2A1 expressing cells (SW480) showed increased sphere formation (p<0.05). These results indicated that SCGB2A1 represented a novel, prognostic factor for CRC, and that expression of SCGB2A1 correlated with chemoresistance, radioresistance and cancer cell stemness.
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Affiliation(s)
- Koji Munakata
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Mamoru Uemura
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Ichiro Takemasa
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Miyuki Ozaki
- Department of Frontier Science for Cancer and Chemotherapy, Graduate School of Medicine, Osaka University, Japan
| | - Masamitsu Konno
- Department of Frontier Science for Cancer and Chemotherapy, Graduate School of Medicine, Osaka University, Japan
| | - Junichi Nishimura
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Taishi Hata
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Tsunekazu Mizushima
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Naotsugu Haraguchi
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Shingo Noura
- Department of Surgery, Osaka Medical Center for Cancer and Cardiovascular Diseases, Japan
| | | | - Shu Okamura
- Department of Surgery, Suita Municipal Hospital, Japan
| | | | - Kohei Murata
- Department of Surgery, Suita Municipal Hospital, Japan
| | - Hirofumi Yamamoto
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Yuichiro Doki
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
| | - Masaki Mori
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Japan
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15
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16
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Koh EH, Cho YW, Mun YJ, Ryu JH, Kim EJ, Choi DS, Maeng KY, Han J, Kang D. Upregulation of human mammaglobin reduces migration and invasion of breast cancer cells. Cancer Invest 2013; 32:22-9. [PMID: 24328556 DOI: 10.3109/07357907.2013.861473] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Little is known about the biological role of human mammaglobin (hMAM) that is considered as a promising marker for breast cancer. Here, we investigated hMAM's role related to migration and invasion of human breast cancer cells (hBCC). Compared to normal cells, hBCC have high MAM mRNA expression levels. Of the hBCC tested, MAM mRNA expression levels were higher in noninvasive than in invasive cells. Overexpression of hMAM in breast cancer cells decreased migration and invasion, whereas knockdown of hMAM increased both. Taken together, these results suggest that metastasis of hBCC could be controlled by hMAM expression levels.
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Affiliation(s)
- Eun-Ha Koh
- Departments of 1Physiology, 2Laboratory Medicine, and 3Radiology, Institute of Health Sciences, School of Medicine, Gyeongsang National University, Jinju, South Korea
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17
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Secretoglobin expression in ovarian carcinoma: lipophilin B gene upregulation as an independent marker of better prognosis. J Transl Med 2013; 11:162. [PMID: 23819652 PMCID: PMC3706350 DOI: 10.1186/1479-5876-11-162] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2013] [Accepted: 06/27/2013] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The aim of the present study was to investigate within ovarian carcinoma and normal ovarian biopsies the gene expression of multiple secretoglobin family members relative to mammaglobin B, which we previously reported as a promising novel ovarian carcinoma prognostic marker. METHODS Using quantitative real-time Reverse Transcription PCR we tested 53 ovarian carcinoma and 30 normal ovaries for the expression of 8 genes belonging to the secretoglobin family: mammaglobin A, lipophilin A, lipophilin B, uteroglobin, HIN-1, UGRP-1, RYD5 and IIS. Next, we decided to expand the LipB gene expression analysis to a further 48 ovarian carcinoma samples, for a total of 101 tumor tissues of various histologies and to study its protein expression by immunohistochemistry in formalin-fixed paraffin-embedded tumors and normal ovaries. Finally, we correlated lipophilin B gene and protein expression to conventional patient clinico-pathological features and outcome. RESULTS We found significant mammaglobin A, lipophilin A, lipophilin B and RYD5 gene overexpression in ovarian carcinomas compared to normal ovaries. Lipophilin B mRNA showed a higher presence in tumors (75.4%) compared to normal ovaries (16.6%) and the most significant correlation with mammaglobin B mRNA (rs =0.77, p < 0.001). By immunohistochemical analysis, we showed higher lipophilin B expression in the cytoplasm of tumor cells compared to normal ovaries (p < 0.001). Moreover, lipophilin B gene overexpression was significantly associated with serous histology (serous vs clear cell p = 0.027; serous vs undifferentiated p = 0.007) and lower tumor grade (p = 0.02). Lower LipB mRNA levels (low versus high tertiles) were associated to a shorter progression-free (p = 0.03, HR = 2.2) and disease-free survival (p = 0.02, HR = 2.5) by univariate survival analysis and, importantly, they remain an independent prognostic marker for decreased disease-free (p = 0.001, HR = 3.9) and progression-free survival (p = 0.004, HR = 2.8) in multivariate Cox regression analysis. CONCLUSIONS The present study represents the first quantitative evaluation of secretoglobin gene expression in normal and neoplastic ovarian tissues. Our results demonstrate lipophilin B gene and protein upregulation in ovarian carcinoma compared to normal ovary. Moreover, lipophilin B gene overexpression correlates with a less aggressive tumor phenotype and represents a novel ovarian carcinoma prognostic factor.
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18
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Hagemann IS, Pfeifer JD, Cao D. Mammaglobin expression in gynecologic adenocarcinomas. Hum Pathol 2013; 44:628-35. [DOI: 10.1016/j.humpath.2012.07.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2012] [Revised: 07/12/2012] [Accepted: 07/18/2012] [Indexed: 12/27/2022]
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19
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Jackson BC, Thompson DC, Wright MW, McAndrews M, Bernard A, Nebert DW, Vasiliou V. Update of the human secretoglobin (SCGB) gene superfamily and an example of 'evolutionary bloom' of androgen-binding protein genes within the mouse Scgb gene superfamily. Hum Genomics 2012; 5:691-702. [PMID: 22155607 PMCID: PMC3251818 DOI: 10.1186/1479-7364-5-6-691] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
The secretoglobins (SCGBs) comprise a family of small, secreted proteins found in animals exclusively of mammalian lineage. There are 11 human SCGB genes and five pseudogenes. Interestingly, mice have 68 Scgb genes, four of which are highly orthologous to human SCGB genes; the remainder represent an 'evolutionary bloom' and make up a large gene family represented by only six counterparts in humans. SCGBs are found in high concentrations in many mammalian secretions, including fluids of the lung, lacrimal gland, salivary gland, prostate and uterus. Whereas the biological activities of most individual SCGBs have not been fully characterised, what already has been discovered suggests that this family has an important role in the modulation of inflammation, tissue repair and tumorigenesis. In mice, the large Scgb1b and Scgb2b gene families encode the androgen-binding proteins, which have been shown to play a role in mate selection. Although much has been learned about SCGBs in recent years, clearly more research remains to be done to allow a better understanding of the roles of these proteins in human health and disease. Such information is predicted to reveal valuable novel drug targets for the treatment of inflammation, as well as designing biomarkers that might identify tissue damage or cancer.
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Affiliation(s)
- Brian C Jackson
- Molecular Toxicology and Environmental Health Sciences Program, Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Center, Aurora, CO 80045, USA
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20
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Bartosch C, Manuel Lopes J, Oliva E. Endometrial carcinomas: a review emphasizing overlapping and distinctive morphological and immunohistochemical features. Adv Anat Pathol 2011; 18:415-37. [PMID: 21993268 DOI: 10.1097/pap.0b013e318234ab18] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
This review focuses on the most common diagnostic pitfalls and helpful morphologic and immunohistochemical markers in the differential diagnosis between the different subtypes of endometrial carcinomas, including: (1) endometrioid versus serous glandular carcinoma, (2) papillary endometrioid (not otherwise specified, villoglandular and nonvillous variants) versus serous carcinoma, (3) endometrioid carcinoma with spindle cells, hyalinization, and heterologous components versus malignant mixed müllerian tumor, (4) high-grade endometrioid versus serous carcinoma, (5) high-grade endometrioid carcinoma versus dedifferentiated or undifferentiated carcinoma, (6) endometrioid carcinoma with clear cells versus clear cell carcinoma, (7) clear cell versus serous carcinoma, (8) undifferentiated versus neuroendocrine carcinoma, (9) carcinoma of mixed cell types versus carcinoma with ambiguous features or variant morphology, (10) Lynch syndrome-related endometrial carcinomas, (11) high-grade or undifferentiated carcinoma versus nonepithelial uterine tumors. As carcinomas in the endometrium are not always primary, this review also discusses the differential diagnosis between endometrial carcinomas and other gynecological malignancies such as endocervical (glandular) and ovarian/peritoneal serous carcinoma, as well as with extra-gynecologic metastases (mainly breast and colon).
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21
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Kalloger SE, Köbel M, Leung S, Mehl E, Gao D, Marcon KM, Chow C, Clarke BA, Huntsman DG, Gilks CB. Calculator for ovarian carcinoma subtype prediction. Mod Pathol 2011; 24:512-21. [PMID: 21131918 DOI: 10.1038/modpathol.2010.215] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
With the emerging evidence that the five major ovarian carcinoma subtypes (high-grade serous, clear cell, endometrioid, mucinous, and low-grade serous) are distinct disease entities, management of ovarian carcinoma will become subtype specific in the future. In an effort to improve diagnostic accuracy, we set out to determine if an immunohistochemical panel of molecular markers could reproduce consensus subtype assignment. Immunohistochemical expression of 22 biomarkers were examined on tissue microarrays constructed from 322 archival ovarian carcinoma samples from the British Columbia Cancer Agency archives, for the period between 1984 and 2000, and an independent set of 242 cases of ovarian carcinoma from the Gynaecologic Tissue Bank at Vancouver General Hospital from 2001 to 2008. Nominal logistic regression was used to produce a subtype prediction model for each of these sets of cases. These models were then cross-validated against the other cohort, and then both models were further validated in an independent cohort of 81 ovarian carcinoma samples from five different centers. Starting with data for 22 markers, full model fit, backwards, nominal logistic regression identified the same nine markers (CDKN2A, DKK1, HNF1B, MDM2, PGR, TFF3, TP53, VIM, WT1) as being most predictive of ovarian carcinoma subtype in both the archival and tumor bank cohorts. These models were able to predict subtype in the respective cohort in which they were developed with a high degree of sensitivity and specificity (κ statistics of 0.88±0.02 and 0.86±0.04, respectively). When the models were cross-validated (ie using the model developed in one case series to predict subtype in the other series), the prediction equation's performances were reduced (κ statistics of 0.70±0.04 and 0.61±0.04, respectively) due to differences in frequency of expression of some biomarkers in the two case series. Both models were then validated on the independent series of 81 cases, with very good to excellent ability to predict subtype (κ=0.85±0.06 and 0.78±0.07, respectively). A nine-marker immunohistochemical maker panel can be used to objectively support classification into one of the five major subtypes of ovarian carcinoma.
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Friel AM, Corcoran C, Crown J, O'Driscoll L. Relevance of circulating tumor cells, extracellular nucleic acids, and exosomes in breast cancer. Breast Cancer Res Treat 2010; 123:613-25. [PMID: 20549336 DOI: 10.1007/s10549-010-0980-2] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2009] [Accepted: 06/02/2010] [Indexed: 12/17/2022]
Abstract
Early detection of cancer is vital to improved overall survival rates. At present, evidence is accumulating for the clinical value of detecting occult tumor cells in peripheral blood, plasma, and serum specimens from cancer patients. Both molecular and cellular approaches, which differ in sensitivity and specificity, have been used for such means. Circulating tumor cells and extracellular nucleic acids have been detected within blood, plasma, and sera of cancer patients. As the presence of malignant tumors are clinically determined and/or confirmed upon biopsy procurement-which in itself may have detrimental effects in terms of stimulating cancer progression/metastases-minimally invasive methods would be highly advantageous to the diagnosis and prognosis of breast cancer and the subsequent tailoring of targeted treatments for individuals, if reliable panels of biomarkers suitable for such an approach exist. Herein, we review the current advances made in the detection of such circulating tumor cells and nucleic acids, with particular emphasis on extracellular nucleic acids, specifically extracellular mRNAs and discuss their clinical relevance.
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Affiliation(s)
- Anne M Friel
- School of Pharmacy and Pharmaceutical Sciences & Molecular Therapeutics for Cancer Ireland, Trinity College Dublin, Dublin 2, Ireland
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Cocco E, Bellone S, El-Sahwi K, Cargnelutti M, Buza N, Tavassoli FA, Schwartz PE, Rutherford TJ, Pecorelli S, Santin AD. Serum amyloid A: a novel biomarker for endometrial cancer. Cancer 2010; 116:843-51. [PMID: 20041483 DOI: 10.1002/cncr.24838] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The authors investigated the expression of serum amyloid A (SAA) in endometrial endometrioid carcinoma and evaluated its potential as a serum biomarker. METHODS SAA gene and protein expression levels were evaluated in endometrial endometrioid carcinoma and normal endometrial tissues, by real-time polymerase chain reaction (PCR), immunohistochemistry (IHC), and flow cytometry. SAA concentration in 194 serum samples from 50 healthy women, 42 women with benign diseases, and 102 patients including 49 grade 1, 38 grade 2, and 15 grade 3 endometrial endometrioid carcinoma was also studied by a sensitive bead-based immunoassay. RESULTS SAA gene expression levels were significantly higher in endometrial endometrioid carcinoma when compared with normal endometrial tissues (mean copy number by real-time PCR = 182 vs 1.9; P = .001). IHC revealed diffuse cytoplasmic SAA protein staining in poorly differentiated endometrial endometrioid carcinoma tissues. High intracellular levels of SAA were identified in primary endometrial endometrioid carcinoma cell lines evaluated by flow cytometry, and SAA was found to be actively secreted in vitro. SAA concentrations (microg/mL) had medians of 6.0 in normal healthy women and 6.0 in patients with benign disease (P = .92). In contrast, SAA values in the serum of endometrial endometrioid carcinoma patients had a median of 23.7, significantly higher than those of the healthy group (P = .001) and benign group (P = .001). Patients harboring G3 endometrial endometrioid carcinoma were found to have SAA concentrations significantly higher than those of G1/G2 patients. CONCLUSIONS SAA is not only a liver-secreted protein, but is also an endometrial endometrioid carcinoma cell product. SAA is expressed and actively secreted by G3 endometrial endometrioid carcinoma, and it is present in high concentration in the serum of endometrial endometrioid carcinoma patients. SAA may represent a novel biomarker for endometrial endometrioid carcinoma to monitor disease recurrence and response to therapy.
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Affiliation(s)
- Emiliano Cocco
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut 06520-8063, USA
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Tassi RA, Calza S, Ravaggi A, Bignotti E, Odicino FE, Tognon G, Donzelli C, Falchetti M, Rossi E, Todeschini P, Romani C, Bandiera E, Zanotti L, Pecorelli S, Santin AD. Mammaglobin B is an independent prognostic marker in epithelial ovarian cancer and its expression is associated with reduced risk of disease recurrence. BMC Cancer 2009; 9:253. [PMID: 19635143 PMCID: PMC2724548 DOI: 10.1186/1471-2407-9-253] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2009] [Accepted: 07/27/2009] [Indexed: 11/23/2022] Open
Abstract
Background Traditional prognostic factors in epithelial ovarian cancer (EOC) are inadequate in predicting recurrence and long-term prognosis, but genome-wide cancer research has recently provided multiple potentially useful biomarkers. The gene codifying for Mammaglobin B (MGB-2) has been selected from our previous microarray analysis performed on 19 serous papillary epithelial ovarian cancers and its expression has been further investigated on multiple histological subtypes, both at mRNA and protein level. Since, to date, there is no information available on the prognostic significance of MGB-2 expression in cancer, the aim of this study was to determine its prognostic potential on survival in a large cohort of well-characterized EOC patients. Methods MGB-2 expression was evaluated by quantitative real time-PCR in fresh-frozen tissue biopsies and was validated by immunohistochemistry in matched formalin fixed-paraffin embedded tissue samples derived from a total of 106 EOC patients and 27 controls. MGB-2 expression was then associated with the clinicopathologic features of the tumors and was correlated with clinical outcome. Results MGB-2 expression was found significantly elevated in EOC compared to normal ovarian controls, both at mRNA and protein level. A good correlation was detected between MGB-2 expression data obtained by the two different techniques. MGB-2 expressing tumors were significantly associated with several clinicopathologic characteristics defining a less aggressive tumor behavior. Univariate survival analysis revealed a decreased risk for cancer-related death, recurrence and disease progression in MGB-2-expressing patients (p < 0.05). Moreover, multivariate analysis indicated that high expression levels of MGB-2 transcript (HR = 0.25, 95%, 0.08–0.75, p = 0.014) as well as positive immunostaining for the protein (HR = 0.41, 95%CI, 0.17–0.99, p = 0.048) had an independent prognostic value for disease-free survival. Conclusion This is the first report documenting that MGB-2 expression characterizes less aggressive forms of EOC and is correlated with a favorable outcome. These findings suggest that the determination of MGB-2, especially at molecular level, in EOC tissue obtained after primary surgery can provide additional prognostic information about the risk of recurrence.
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Affiliation(s)
- Renata A Tassi
- Division of Gynecologic Oncology, Department Materno Infantile e Tecnologie Biomediche, University of Brescia, Brescia, Italy.
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