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Li J, Adobo SD, Shi H, Judicael KAW, Lin N, Gao L. Screening Methods for Cervical Cancer. ChemMedChem 2024:e202400021. [PMID: 38735844 DOI: 10.1002/cmdc.202400021] [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: 01/09/2024] [Revised: 04/15/2024] [Accepted: 05/07/2024] [Indexed: 05/14/2024]
Abstract
Cervical cancer seriously affects the health of women worldwide. Persistent infection of high-risk HPV (Human Papilloma Virus) can lead to cervical cancer. There is a great need for timely and efficient screening methods for cervical cancer. The current screening methods for cervical cancer are mainly based on cervical cytology and HPV testing. Cervical cytology is made of Pap smear and liquid-based cytology, while HPV testing is based on immunological and nucleic acid level detection methods. This review introduces cervical cancer screening methods based on cytology and human papillomavirus testing in detail. The advantages and limitations of the screening methods are also summarized and compared.
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Affiliation(s)
- Jingyan Li
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, China
| | | | - Hui Shi
- Jiangsu Provincial Health Development Research Center, Nanjing, 210003, China
| | | | - Ning Lin
- Jiangsu Provincial Health Development Research Center, Nanjing, 210003, China
| | - Li Gao
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, China
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2
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Liang T, Chen H, Liu L, Zheng Y, Ma Z, Min L, Zhang J, Wu L, Ma J, Liu Z, Zhang Q, Luo K, Hu D, Ji T, Yu X. Antibody Profiling of Pan-Cancer Viral Proteome Reveals Biomarkers for Nasopharyngeal Carcinoma Diagnosis and Prognosis. Mol Cell Proteomics 2024; 23:100729. [PMID: 38309569 PMCID: PMC10933552 DOI: 10.1016/j.mcpro.2024.100729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/27/2023] [Accepted: 01/29/2024] [Indexed: 02/05/2024] Open
Abstract
Diagnosing, predicting disease outcome, and identifying effective treatment targets for virus-related cancers are lacking. Protein biomarkers have the potential to bridge the gap between prevention and treatment for these types of cancers. While it has been shown that certain antibodies against EBV proteins could be used to detect nasopharyngeal carcinoma (NPC), antibodies targeting are solely a tiny part of the about 80 proteins expressed by the EBV genome. Furthermore, it remains unclear what role other viruses play in NPC since many diseases are the result of multiple viral infections. For the first time, this study measured both IgA and IgG antibody responses against 646 viral proteins from 23 viruses in patients with NPC and control subjects using nucleic acid programmable protein arrays. Candidate seromarkers were then validated by ELISA using 1665 serum samples from three clinical cohorts. We demonstrated that the levels of five candidate seromarkers (EBV-BLLF3-IgA, EBV-BLRF2-IgA, EBV-BLRF2-IgG, EBV-BDLF1-IgA, EBV-BDLF1-IgG) in NPC patients were significantly elevated than controls. Additional examination revealed that NPC could be successfully diagnosed by combining the clinical biomarker EBNA1-IgA with the five anti-EBV antibodies. The sensitivity of the six-antibody signature at 95% specificity to diagnose NPC was comparable to the current clinically-approved biomarker combination, VCA-IgA, and EBNA1-IgA. However, the recombinant antigens of the five antibodies are easier to produce and standardize compared to the native viral VCA proteins. This suggests the potential replacement of the traditional VCA-IgA assay with the 5-antibodies combination to screen and diagnose NPC. Additionally, we investigated the prognostic significance of these seromarkers titers in NPC. We showed that NPC patients with elevated BLLF3-IgA and BDLF1-IgA titers in their serum exhibited significantly poorer disease-free survival, suggesting the potential of these two seromarkers as prognostic indicators of NPC. These findings will help develop serological tests to detect and treat NPC in the future.
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Affiliation(s)
- Te Liang
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
| | - Hao Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Lei Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Yongqiang Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhaoen Ma
- Otolaryngological department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ling Min
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Jiahui Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Lianfu Wu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Jie Ma
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Zexian Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Qingfeng Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Kai Luo
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Di Hu
- ProteomicsEra Medical Co., Ltd., Beijing, China
| | - Tianxing Ji
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
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Qiu J, Engelbrektson A, Song L, Park J, Murugan V, Williams S, Chung Y, Pompa-Mera EN, Sandoval-Ramirez JL, Mata-Marin JA, Gaytan-Martinez J, Troiani E, Sanguinetti M, Roncada P, Urbani A, Moretti G, Torres J, LaBaer J. Comparative Analysis of Antimicrobial Antibodies between Mild and Severe COVID-19. Microbiol Spectr 2023; 11:e0469022. [PMID: 37278651 PMCID: PMC10433851 DOI: 10.1128/spectrum.04690-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 05/17/2023] [Indexed: 06/07/2023] Open
Abstract
Patients with 2019 coronavirus disease (COVID-19) exhibit a broad spectrum of clinical presentations. A person's antimicrobial antibody profile, as partially shaped by past infection or vaccination, can reflect the immune system health that is critical to control and resolve the infection. We performed an explorative immunoproteomics study using microbial protein arrays displaying 318 full-length antigens from 77 viruses and 3 bacteria. We compared antimicrobial antibody profiles between 135 patients with mild COVID-19 disease and 215 patients with severe disease in 3 independent cohorts from Mexico and Italy. Severe disease patients were older with higher prevalence of comorbidities. We confirmed that severe disease patients elicited a stronger anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) response. We showed that antibodies against HCoV-229E and HcoV-NL63 but not against HcoV-HKU1 and HcoV-OC43 were also higher in those who had severe disease. We revealed that for a set of IgG and IgA antibodies targeting coronaviruses, herpesviruses, and other respiratory viruses, a subgroup of patients with the highest reactivity levels had a greater incidence of severe disease compared to those with mild disease across all three cohorts. On the contrary, fewer antibodies showed consistent greater prevalence in mild disease in all 3 cohorts. IMPORTANCE The clinical presentations of COVID-19 range from asymptomatic to critical illness that may lead to intensive care or even death. The health of the immune system, as partially shaped by past infections or vaccinations, is critical to control and resolve the infection. Using an innovative protein array platform, we surveyed antibodies against hundreds of full-length microbial antigens from 80 different viruses and bacteria in COVID-19 patients from different geographic regions with mild or severe disease. We not only confirmed the association of severe COVID-19 disease with higher reactivity of antibody responses to SARS-CoV-2 but also uncovered known and novel associations with antibody responses against herpesviruses and other respiratory viruses. Our study represents a significant step forward in understanding the factors contributing to COVID-19 disease severity. We also demonstrate the power of comprehensive antimicrobial antibody profiling in deciphering risk factors for severe COVID-19. We anticipate that our approach will have broad applications in infectious diseases.
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Affiliation(s)
- Ji Qiu
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Anna Engelbrektson
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Lusheng Song
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Jin Park
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Vel Murugan
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Stacy Williams
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Yunro Chung
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
- College of Health Solutions, Arizona State University, Phoenix, Arizona, USA
| | - Ericka Nelly Pompa-Mera
- Unidad de Investigación Médica en Enfermedades Infecciosas y Parasitarias, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
- Hospital de Infectología, CMN “La Raza”, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | | | - Jose Antonio Mata-Marin
- Hospital de Infectología, CMN “La Raza”, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Jesus Gaytan-Martinez
- Hospital de Infectología, CMN “La Raza”, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | | | - Maurizio Sanguinetti
- Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Paola Roncada
- Department of Health Sciences, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Andrea Urbani
- Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giacomo Moretti
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Javier Torres
- Unidad de Investigación Médica en Enfermedades Infecciosas y Parasitarias, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Joshua LaBaer
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
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Yang R, Han Y, Yi W, Long Q. Autoantibodies as biomarkers for breast cancer diagnosis and prognosis. Front Immunol 2022; 13:1035402. [PMID: 36451832 PMCID: PMC9701846 DOI: 10.3389/fimmu.2022.1035402] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/28/2022] [Indexed: 10/07/2023] Open
Abstract
Breast cancer is the most common cancer in women worldwide and is a substantial public health problem. Screening for breast cancer mainly relies on mammography, which leads to false positives and missed diagnoses and is especially non-sensitive for patients with small tumors and dense breasts. The prognosis of breast cancer is mainly classified by tumor, node, and metastasis (TNM) staging, but this method does not consider the molecular characteristics of the tumor. As the product of the immune response to tumor-associated antigens, autoantibodies can be detected in peripheral blood and can be used as noninvasive, presymptomatic, and low-cost biomarkers. Therefore, autoantibodies can provide a possible supplementary method for breast cancer screening and prognosis classification. This article introduces the methods used to detect peripheral blood autoantibodies and the research progress in the screening and prognosis of breast cancer made in recent years to provide a potential direction for the examination and treatment of breast cancer.
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Affiliation(s)
| | | | | | - Qian Long
- Department of General Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
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Kathrikolly T, Nair SN, Mathew A, Saxena PPU, Nair S. Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis. Syst Rev 2022; 11:215. [PMID: 36210467 PMCID: PMC9549667 DOI: 10.1186/s13643-022-02088-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/28/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND The increasing incidence of breast cancer necessitates the need to explore alternate screening strategies that circumvent the setbacks of conventional techniques especially among population that report earlier age at diagnosis. Serum autoantibodies is one such potential area of interest. However, their ubiquitous presence across cancer types limits its applicability to any one specific type of cancer. This review was therefore carried out to explore and consolidate available evidence on autoantibodies for early detection of breast cancer and to identify those that demonstrated a higher sensitivity. METHODS A diagnostic test accuracy (DTA) review was carried out to ascertain serum autoantibodies that could be used for early detection of breast cancer among women. All relevant articles that investigated the role of autoantibodies in early detection of breast cancer were included for the review. MEDLINE, Scopus, ProQuest, Ovid SP, and Cochrane Library were searched extensively for eligible studies. Quality of the included studies was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. RevMan 5.3 was used for exploratory and MetaDTA 2019 for hierarchical analyses. The review helped identify the most frequently investigated autoantibodies and a meta-analysis further consolidated the findings. RESULTS A total of 53 articles were included for the final analysis that reported over a 100 autoantibodies that were studied for early detection of breast cancer in women. P53, MUC1, HER2, HSP60, P16, Cyclin B1, and c-Myc were the most frequently investigated autoantibodies. Of these P53, MUC1, HER2, and HSP60 exhibited higher summary sensitivity measures. While the individual pooled sensitivity estimates ranged between 10 and 56%, the panel sensitivity values reported across studies were higher with an estimated range of 60-87%. CONCLUSION Findings from the review indicate a higher sensitivity for an autoantibody panel in comparison to individual assays. A panel comprising of P53, MUC1, HER2, and HSP60 autoantibodies has the potential to be investigated as an early detection biomarker for breast cancer.
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Affiliation(s)
- Thejas Kathrikolly
- Department of Community Oncology, Sri Shankara Cancer Hospital and Research Centre, Bengaluru, India.,Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education (MAHE), Manipal, India
| | - Sreekumaran N Nair
- Department of Biostatistics, Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER), Puducherry, India
| | - Aju Mathew
- Department of Oncology, MOSC Medical College Kolenchery, Kerala, India.,Department of Internal Medicine, University of Kentucky Markey Cancer Center, Lexington, USA
| | - Prakash P U Saxena
- Department of Radiation Oncology, Kasturba Medical College, Mangalore, India
| | - Suma Nair
- Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education (MAHE), Manipal, India. .,School of Public Health, DY Patil Deemed to be University, Navi Mumbai, India.
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6
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Chan EKL. Anti-Ro52 Autoantibody Is Common in Systemic Autoimmune Rheumatic Diseases and Correlating with Worse Outcome when Associated with interstitial lung disease in Systemic Sclerosis and Autoimmune Myositis. Clin Rev Allergy Immunol 2022; 63:178-193. [PMID: 35040083 DOI: 10.1007/s12016-021-08911-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2021] [Indexed: 01/13/2023]
Abstract
This review highlights the 30 plus years research progress since the discovery of autoantibody to Ro52/TRIM21 in patients with systemic lupus erythematosus (SLE) and Sjögren's syndrome (SjS). After the initial expression cloning of the Ro52 cDNA, it has taken many years to the current understanding in the interesting biological function of Ro52 as an E3 ubiquitin ligase and its role in innate immune clearance of intracellular IgG-bound complex. Early observations show that anti-Ro52, mostly associated with anti-SS-A/Ro60 and/or anti-SS-B/La, is commonly found in SLE (40-70%), SjS (70-90%), neonatal lupus erythematosus (NLE, 75-90%), and subacute cutaneous lupus erythematosus (50-60%). Anti-Ro52 has long been postulated to play a direct pathogenic role in congenital heart block in NLE as well as in the QT interval prolongation in some adults. The widespread availability of the anti-Ro52 assay has led to the detection of anti-Ro52 in other diseases including autoimmune hepatitis (20-40%), systemic sclerosis (10-30%), and autoimmune myositis (20-40%). More than ten studies have pointed to an association of anti-Ro52 with interstitial lung disease and, more importantly, correlating with poor outcome and worse survival. Other studies are implicating an interesting role for anti-Ro52 in the diagnosis of certain cancers. Future studies are needed to examine the mechanism in the pathogenesis of anti-Ro52 and carefully documenting its causal relationships in different disease conditions.
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Affiliation(s)
- Edward K L Chan
- Department of Oral Biology, University of Florida, 1395 Center Drive, Gainesville, FL, 32610-0424, USA.
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7
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Anderson KS, Erick TK, Chen M, Daley H, Campbell M, Colson Y, Mihm M, Zakka LR, Hopper M, Barry W, Winer EP, Dranoff G, Overmoyer B. The feasibility of using an autologous GM-CSF-secreting breast cancer vaccine to induce immunity in patients with stage II-III and metastatic breast cancers. Breast Cancer Res Treat 2022; 194:65-78. [PMID: 35482127 PMCID: PMC9046531 DOI: 10.1007/s10549-022-06562-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 03/02/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE The antigenic targets of immunity and the role of vaccination in breast cancer are unknown. We performed a phase I study of an autologous GM-CSF-secreting breast cancer vaccine in patients with metastatic and stage II-III breast cancer. METHODS Tumor cells from patients with metastatic (n = 15) and stage II-III (n = 7) disease were transduced with a replication-defective adenoviral vector encoding GM-CSF, and then irradiated. Twelve and seven patients with metastatic and stage II-III disease, respectively, received weekly vaccination for three weeks, followed by every other week until disease progression or vaccine supply was exhausted (metastatic) or until six total vaccine doses were administered (stage II-III). RESULTS Among those patients with metastatic disease who received vaccinations, eight had progressive disease at two months, three had stable disease for 4-13 months, and one has had no evidence of disease for 13 years. Of the patients with stage II-III disease, five died of metastatic disease between 1.16 and 8.49 years after the start of vaccinations (median 6.24 years) and two are alive as of September 2021. Toxicities included injection site reactions, fatigue, fever, upper respiratory symptoms, joint pain, nausea, and edema. Four of five evaluable patients with metastatic disease developed a skin reaction with immune cell infiltration after the fifth injection of unmodified, irradiated tumor cells. CONCLUSION We conclude that tumor cells can be harvested from patients with metastatic or stage II-III breast cancer to prepare autologous GM-CSF-secreting vaccines that induce coordinated immune responses with limited toxicity. TRIAL REGISTRATION AND DATE OF REGISTRATION: clinicaltrials.gov, NCT00317603 (April 25, 2006) and NCT00880464 (April 13, 2009).
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Affiliation(s)
- Karen S Anderson
- Center for Personalized Diagnostics, School of Life Sciences, Biodesign Institute, Arizona State University, PO Box 876401, Tempe, AZ, 85287-6401, USA.
- Department of Medical Oncology, Mayo Clinic, Scottsdale, AZ, USA.
| | - Timothy K Erick
- Department of Medical Oncology, Dana-Farber Cancer Institute, MB, Boston, USA
| | - Meixuan Chen
- Center for Personalized Diagnostics, School of Life Sciences, Biodesign Institute, Arizona State University, PO Box 876401, Tempe, AZ, 85287-6401, USA
| | - Heather Daley
- Cancer Vaccine Center, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Margaret Campbell
- Department of Medical Oncology, Dana-Farber Cancer Institute, MB, Boston, USA
| | - Yolonda Colson
- Department of Thoracic Surgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Martin Mihm
- Department of Dermatology, Brigham and Women's Hospital, Boston, MA, USA
| | - Labib R Zakka
- Department of Dermatology, Brigham and Women's Hospital, Boston, MA, USA
| | - Marika Hopper
- Center for Personalized Diagnostics, School of Life Sciences, Biodesign Institute, Arizona State University, PO Box 876401, Tempe, AZ, 85287-6401, USA
| | - William Barry
- Department of Medical Oncology, Dana-Farber Cancer Institute, MB, Boston, USA
| | - Eric P Winer
- Department of Medical Oncology, Dana-Farber Cancer Institute, MB, Boston, USA
| | - Glenn Dranoff
- Cancer Vaccine Center, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Beth Overmoyer
- Department of Medical Oncology, Dana-Farber Cancer Institute, MB, Boston, USA
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Shome M, Chung Y, Chavan R, Park JG, Qiu J, LaBaer J. Serum autoantibodyome reveals that healthy individuals share common autoantibodies. Cell Rep 2022; 39:110873. [PMID: 35649350 PMCID: PMC9221390 DOI: 10.1016/j.celrep.2022.110873] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 03/02/2022] [Accepted: 05/04/2022] [Indexed: 12/02/2022] Open
Abstract
Autoantibodies are a hallmark of both autoimmune disease and cancer, but
they also occur in healthy individuals. Here, we perform a meta-analysis of nine
datasets and focus on the common autoantibodies shared by healthy individuals.
We report 77 common autoantibodies based on the protein microarray data obtained
from probing 182 healthy individual sera on 7,653 human proteins and an
additional 90 healthy individual sera on 1,666 human proteins. There is no
gender bias; however, the number of autoantibodies increase with age, plateauing
around adolescence. We use a bioinformatics pipeline to determine possible
molecular-mimicry peptides that can contribute to the elicitation of these
common autoantibodies. There is enrichment of intrinsic properties of proteins
like hydrophilicity, basicity, aromaticity, and flexibility for common
autoantigens. Subcellular localization and tissue-expression analysis reveal
that several common autoantigens are sequestered from the circulating
autoantibodies. Shome et al. performed a meta-analysis to discover the common
autoantibodies found in healthy individuals. These common autoantibodies appear
and increase during youth and plateau at adolescence. Bioinformatics techniques
demonstrate the potential role of molecular mimicry in their production as well
as several common intrinsic biochemical properties.
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Affiliation(s)
- Mahasish Shome
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Yunro Chung
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA; College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Ramani Chavan
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Jin G Park
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Ji Qiu
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Joshua LaBaer
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
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9
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Temporal reproducibility of IgG and IgM autoantibodies in serum from healthy women. Sci Rep 2022; 12:6192. [PMID: 35418192 PMCID: PMC9008031 DOI: 10.1038/s41598-022-10174-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/30/2022] [Indexed: 11/09/2022] Open
Abstract
Autoantibodies are present in healthy individuals and altered in chronic diseases. We used repeated samples collected from participants in the NYU Women's Health Study to assess autoantibody reproducibility and repertoire stability over a one-year period using the HuProt array. We included two samples collected one year apart from each of 46 healthy women (92 samples). We also included eight blinded replicate samples to assess laboratory reproducibility. A total of 21,211 IgG and IgM autoantibodies were interrogated. Of those, 86% of IgG (n = 18,303) and 34% of IgM (n = 7,242) autoantibodies showed adequate lab reproducibility (coefficient of variation [CV] < 20%). Intraclass correlation coefficients (ICCs) were estimated to assess temporal reproducibility. A high proportion of both IgG and IgM autoantibodies with CV < 20% (76% and 98%, respectively) showed excellent temporal reproducibility (ICC > 0.8). Temporal reproducibility was lower after using quantile normalization suggesting that batch variability was not an important source of error, and that normalization removed some informative biological information. To our knowledge this study is the largest in terms of sample size and autoantibody numbers to assess autoantibody reproducibility in healthy women. The results suggest that for many autoantibodies a single measurement may be used to rank individuals in studies of autoantibodies as etiologic markers of disease.
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10
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Luo R, Zheng C, Song W, Tan Q, Shi Y, Han X. High-throughput and multi-phases identification of autoantibodies in diagnosing early-stage breast cancer and subtypes. Cancer Sci 2021; 113:770-783. [PMID: 34843149 PMCID: PMC8819333 DOI: 10.1111/cas.15227] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 11/12/2021] [Accepted: 11/21/2021] [Indexed: 12/12/2022] Open
Abstract
Autoantibodies (AAbs) targeted tumor‐associated antigens (TAAs) have the potential for early detection of breast cancer. Here, 574 early‐stage breast cancer (ES‐BC) patients containing 4 subtypes (Luminal A, Luminal B, HER2+, TN), 126 benign breast disease (BBD) patients, and 199 normal healthy controls (NHC) were separated into three‐phases to discover, verify, and validate AAbs. In discovery phase using high‐throughput protein microarray, 37 AAbs with sensitivity of 31.25%‐86.25% and specificity over 73% in ES‐BC, and 40 AAbs with different positive rates between subtypes were identified as candidates. In verification phase, 18 AAbs were significantly increased compared with the Control (BBD and NHC) in focused array. Ten out of 18 AAbs exhibited a significant difference between subtypes (P < .05). In ELISA validation phase, 5 novel AAbs (anti‐KJ901215, ‐FAM49B, ‐HYI, ‐GARS, ‐CRLF3) exhibited significantly higher levels in ES‐BC compared with BBD/NHC (P < .05). The sensitivities of individual AAb and a 5‐AAbs panel were 20.41%‐28.57% and 38.78%, whereas the specificities were over 90% and 85.94%. Simultaneously, 4 AAbs except anti‐GARS differed significantly between TN and non‐TN subtype (P < .05). We constructed 3 random forest classifier models based on AAbs to discriminant ES‐BC from Control or BBD, and to discern TN subtype, which yielded an area under the curve of 0.870, 0.860, and 0.875, respectively. Biological interaction analysis revealed 4 TAAs, except for KJ901215, that were associated with well known proteins of BC. This study discovered and stepwise validated 5 novel AAbs with the potential to diagnose ES‐BC and discern TN subtype, indicating easy‐to‐detect and minimally invasive diagnostic value of serum AAbs ahead of biopsy for future application.
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Affiliation(s)
- Rongrong Luo
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Cuiling Zheng
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Wenya Song
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qiaoyun Tan
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yuankai Shi
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiaohong Han
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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11
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Fiala C, Diamandis EP. News Stories and Medical Breakthroughs. J Appl Lab Med 2021; 5:613-615. [PMID: 32603432 DOI: 10.1093/jalm/jfaa078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 12/31/2019] [Indexed: 11/12/2022]
Affiliation(s)
- Clare Fiala
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada
| | - Eleftherios P Diamandis
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.,Department of Clinical Biochemistry, University Health Network, Toronto, ON, Canada
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12
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Hurley LC, Levin NK, Chatterjee M, Coles J, Muszkat S, Howarth Z, Dyson G, Tainsky MA. Evaluation of paraneoplastic antigens reveals TRIM21 autoantibodies as biomarker for early detection of ovarian cancer in combination with autoantibodies to NY-ESO-1 and TP53. Cancer Biomark 2020; 27:407-421. [PMID: 32083570 DOI: 10.3233/cbm-190988] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND The majority of ovarian cancer cases are diagnosed at an advanced stage with poor prognosis. This study evaluates autoantibodies against tumor antigens to identify candidate biomarkers for early detection of ovarian cancer in women at increased risk. OBJECTIVE To assess the immunoreactivity of paraneoplastic antigens and tumor associated antigens with high-grade serous ovarian cancer (HGSOC) samples. METHODS Five paraneoplastic antigens along with three tumor-associated antigens were evaluated with HGSOC patient serum samples. Validation screening was performed with n= 164 serum samples consisting of: 50 late stage HGSOC, 14 early stage HGSOC, 50 benign ovarian cyst, and 50 healthy control samples on ELISA and western blot. The four markers TRIM21, NY-ESO-1, TP53, and PAX8 were evaluated on a second validation serum set, n= 150. RESULTS TRIM21 achieved the highest sensitivity in the first validation screening of 33% with 100% specificity. Combining TRIM21 with NY-ESO-1, TP53, and PAX8 provided 67% sensitivity with 94% specificity, and 56% sensitivity at 98% specificity. These four markers resulted in 46% sensitivity with 98% specificity in the second validation cohort; TRIM21 achieved the highest individual sensitivity of 36%. CONCLUSIONS Autoantibodies to TRIM21, NY-ESO-1, and TP53 may complement CA125 in screening of women at genetic risk for ovarian cancer.
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Affiliation(s)
- Laura C Hurley
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA
| | - Nancy K Levin
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA.,Molecular Therapeutics Program, Karmanos Cancer Institute, Detroit, MI, USA
| | - Madhumita Chatterjee
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA.,Molecular Therapeutics Program, Karmanos Cancer Institute, Detroit, MI, USA
| | - Jasmine Coles
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA
| | - Shlomo Muszkat
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA
| | - Zachary Howarth
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA
| | - Gregory Dyson
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA.,Molecular Therapeutics Program, Karmanos Cancer Institute, Detroit, MI, USA
| | - Michael A Tainsky
- Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA.,Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI, USA.,Molecular Therapeutics Program, Karmanos Cancer Institute, Detroit, MI, USA
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13
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Rauf F, Anderson KS, LaBaer J. Autoantibodies in Early Detection of Breast Cancer. Cancer Epidemiol Biomarkers Prev 2020; 29:2475-2485. [PMID: 32994341 PMCID: PMC7710604 DOI: 10.1158/1055-9965.epi-20-0331] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/14/2020] [Accepted: 09/24/2020] [Indexed: 02/06/2023] Open
Abstract
In spite of the progress made in treatment and early diagnosis, breast cancer remains a major public health issue worldwide. Although modern image-based screening modalities have significantly improved early diagnosis, around 15% to 20% of breast cancers still go undetected. In underdeveloped countries, lack of resources and cost concerns prevent implementing mammography for routine screening. Noninvasive, low-cost, blood-based markers for early breast cancer diagnosis would be an invaluable alternative that would complement mammography screening. Tumor-specific autoantibodies are excellent biosensors that could be exploited to monitor disease-specific changes years before disease onset. Although clinically informative autoantibody markers for early breast cancer screening have yet to emerge, progress has been made in the development of tools to discover and validate promising autoantibody signatures. This review focuses on the current progress toward the development of autoantibody-based early screening markers for breast cancer.See all articles in this CEBP Focus section, "NCI Early Detection Research Network: Making Cancer Detection Possible."
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Affiliation(s)
- Femina Rauf
- Virginia G. Piper Biodesign Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Karen S Anderson
- Virginia G. Piper Biodesign Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Joshua LaBaer
- Virginia G. Piper Biodesign Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona.
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14
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A review of clinical and emerging biomarkers for breast cancers: towards precision medicine for patients. JOURNAL OF RADIOTHERAPY IN PRACTICE 2020. [DOI: 10.1017/s1460396920000746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractBackground:Breast cancer is the most commonly diagnosed malignancy among women and accounts for about 25% of all new cancer cases and 13% of all cancer deaths in Canadian women. It is a highly heterogeneous disease, encompassing multiple tumour entities, each characterised by distinct morphology, behaviour and clinical implications. Moreover, different breast tumour subtypes have different risk factors, clinical presentation, histopathological features, outcome and response to systemic therapies. Therefore, any strategies capable of the stratification of breast cancer by clinically relevant subtypes are an important requirement for personalised and targeted treatment. Therefore, in the advancement towards the concept of precision medicine that takes individual patient variability into account, several investigators have focused on the identification of effective clinical breast cancer biomarkers that interrogate key aberrant pathways potentially targetable with molecular targeted or immunological therapies.Methods and materials:This paper reports on a review of 11 current clinical and emerging biomarkers used in screening for early detection and diagnosis, to stratify patients by disease subtype, to identify patients’ risk for metastatic disease and subsequent relapse, to monitor patient response to specific treatment and to provide clinicians the possibility of prospectively identifying groups of patients who will benefit from a particular treatment.Conclusion:The future holds promising for the use of effective clinical breast cancer biomarkers for early detection and personalised patient-specific targeted treatment and increased patient survival. Breast cancer biomarkers can potentially assist in early-staged, non-invasive, sensitive and specific breast cancer detection and screening, provide clinically useful information for identification of patients with a greater likelihood of benefiting from the specific treatment, offer a better understanding of the metastatic process in cancer patients, predict disease and for patients with the established disease can assist define the nature of the disease, monitor the success of treatment and guide the clinical management of the disease.
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15
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Shan L, Qiao Z, Cheng L, Kim I. Joint Estimation of the Two-Level Gaussian Graphical Models Across Multiple Classes. J Comput Graph Stat 2020. [DOI: 10.1080/10618600.2019.1694522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Liang Shan
- Division of Preventive Medicine, Department of Medicine, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL
| | - Zhilei Qiao
- Department of Management, Information Systems & Quantitative Methods (MISQ), Collat School of Business, The University of Alabama at Birmingham, Birmingham, AL
| | - Lulu Cheng
- Biostatistics Department, Incyte Corporation, Wilmington, DE
| | - Inyoung Kim
- Department of Statistics, Virginia Tech., Blacksburg, VA
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16
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Tan Q, Wang D, Yang J, Xing P, Yang S, Li Y, Qin Y, He X, Liu Y, Zhou S, Duan H, Liang T, Wang H, Wang Y, Jiang S, Zhao F, Zhong Q, Zhou Y, Wang S, Dai J, Yao J, Wu D, Zhang Z, Sun Y, Han X, Yu X, Shi Y. Autoantibody profiling identifies predictive biomarkers of response to anti-PD1 therapy in cancer patients. Am J Cancer Res 2020; 10:6399-6410. [PMID: 32483460 PMCID: PMC7255026 DOI: 10.7150/thno.45816] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 05/01/2020] [Indexed: 12/13/2022] Open
Abstract
Background: Programmed cell death protein 1 (PD1) inhibitors have revolutionized cancer therapy, yet many patients fail to respond. Thus, the identification of accurate predictive biomarkers of therapy response will improve the clinical benefit of anti-PD1 therapy. Method: We assessed the baseline serological autoantibody (AAb) profile against ~2300 proteins in 10 samples and ~4600 proteins in 35 samples with alveolar soft part sarcoma (ASPS), non-small-cell lung cancer (NSCLC) and lymphoma using Nucleic Acid Programmable Protein Arrays (NAPPA). 23 selected potential AAb biomarkers were verified using simple, affordable and rapid enzyme linked immune sorbent assay (ELISA) technology with baseline plasma samples from 12 ASPS, 16 NSCLC and 46 lymphoma patients. SIX2 and EIF4E2 AAbs were further validated in independent cohorts of 17 NSCLC and 43 lymphoma patients, respectively, using ELISA. The IgG subtypes in response to therapy were also investigated. Results: Distinct AAb profiles between ASPS, NSCLC and lymphoma were observed. In ASPS, the production of P53 and PD1 AAbs were significantly increased in non-responders (p=0.037). In NSCLC, the SIX2 AAb was predictive of response with area under the curve (AUC) of 0.87, 0.85 and 0.90 at 3 months, 4.5 months, 6 months evaluation time points, respectively. In the validation cohort, the SIX2 AAb was consistently up-regulated in non-responders (p=0.024). For lymphoma, the EIF4E2 AAb correlated with a favorable response with AUCs of 0.68, 0.70, and 0.70 at 3 months, 4.5 months, and 6 months, respectively. In the validation cohort, the AUCs were 0.74, 0.75 and 0.66 at 3 months, 4.5 months, and 6 months, respectively. The PD1 and PD-L1 IgG2 AAbs were highly produced in ~20% of lymphoma responders. Furthermore, bioinformatics analysis revealed antigen functions of these AAb biomarkers. Conclusion: This study provides the first evidence that AAb biomarkers selected using high-throughput protein microarrays can predict anti-PD1 therapeutic response and guide anti-PD1 therapy.
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17
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Pan J, Liu S, Zhu H, Qian J. AAgMarker 1.0: a resource of serological autoantigen biomarkers for clinical diagnosis and prognosis of various human diseases. Nucleic Acids Res 2019; 46:D886-D893. [PMID: 28977551 PMCID: PMC5753245 DOI: 10.1093/nar/gkx770] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 08/29/2017] [Indexed: 01/02/2023] Open
Abstract
Autoantibodies are produced to target an individual's own antigens (e.g. proteins). They can trigger autoimmune responses and inflammation, and thus, cause many types of diseases. Many high-throughput autoantibody profiling projects have been reported for unbiased identification of serological autoantigen-based biomarkers. However, a lack of centralized data portal for these published assays has been a major obstacle to further data mining and cross-evaluate the quality of these datasets generated from different diseases. Here, we introduce a user-friendly database, AAgMarker 1.0, which collects many published raw datasets obtained from serum profiling assays on the proteome microarrays, and provides a toolbox for mining these data. The current version of AAgMarker 1.0 contains 854 serum samples, involving 136 092 proteins. A total of 7803 (4470 non-redundant) candidate autoantigen biomarkers were identified and collected for 12 diseases, such as Alzheimer's disease, Bechet's disease and Parkinson's disease. Seven statistical parameters are introduced to quantitatively assess these biomarkers. Users can retrieve, analyse and compare the datasets through basic search, advanced search and browse. These biomarkers are also downloadable by disease terms. The AAgMarker 1.0 is now freely accessible at http://bioinfo.wilmer.jhu.edu/AAgMarker/. We believe this database will be a valuable resource for the community of both biomedical and clinical research.
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Affiliation(s)
- Jianbo Pan
- Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Sheng Liu
- Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Heng Zhu
- Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Jiang Qian
- Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.,The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
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18
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Zhou W, Zhang Y, Zhong C, Hu J, Hu H, Zhou D, Cao M. Decreased expression of TRIM21 indicates unfavorable outcome and promotes cell growth in breast cancer. Cancer Manag Res 2018; 10:3687-3696. [PMID: 30288100 PMCID: PMC6159792 DOI: 10.2147/cmar.s175470] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background Tripartite motif-containing protein 21 (TRIM21), an E3 ubiquitin ligase, has been implicated in autoimmune diseases. Dysregulation of TRIM21 contributes to the progression of human malignancies, but its role and clinical significance in breast cancer remain unclear. Methods The expression of TRIM21 was examined by quantitative real-time PCR, Western blot, and immunohistochemistry. The role of TRIM21 in the progression of breast cancer was determined using in vitro and in vivo models. The upstream regulation of TRIM21 was investigated by luciferase reporter assay. Results Here, we showed that TRIM21 expression in breast cancer tissues was decreased at both the mRNA and protein levels in comparison to that in nontumorous tissues. TRIM21 expression was closely associated with tumor size, estrogen receptor, human epidermal growth factor receptor 2, and clinical stage. Low TRIM21 expression was correlated with poor overall and disease-free survival in two independent cohorts containing 1,219 patients with breast cancer. A multivariate Cox regression model suggested TRIM21 as an independent factor for overall survival. In vitro data revealed that TRIM21 expression was suppressed by miR-494-3p directly targeting the 3′ untranslated region of TRIM21. Overexpression of TRIM21 impeded cell proliferation and tumor growth in breast cancer, whereas TRIM21 depletion enhanced these capacities. Conclusion Collectively, our findings indicate that TRIM21 serves as a potential prognostic biomarker and functions as a tumor suppressor in breast cancer.
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Affiliation(s)
- Wenbin Zhou
- Department of Breast Surgery, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong Province, China,
| | - Yayuan Zhang
- Department of Breast Surgery, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong Province, China,
| | - Caineng Zhong
- Department of Breast Surgery, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong Province, China,
| | - Jintao Hu
- Department of Pathology, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong Province, China
| | - Hong Hu
- Department of Breast Surgery, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong Province, China,
| | - Dongxian Zhou
- Department of Breast Surgery, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong Province, China,
| | - MeiQun Cao
- Shenzhen Institute of Geriatrics, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, China,
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19
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Kaaks R, Fortner RT, Hüsing A, Barrdahl M, Hopper M, Johnson T, Tjønneland A, Hansen L, Overvad K, Fournier A, Boutron-Ruault MC, Kvaskoff M, Dossus L, Johansson M, Boeing H, Trichopoulou A, Benetou V, La Vecchia C, Sieri S, Mattiello A, Palli D, Tumino R, Matullo G, Onland-Moret NC, Gram IT, Weiderpass E, Sánchez MJ, Sanchez CN, Duell EJ, Ardanaz E, Larranaga N, Lundin E, Idahl A, Jirström K, Nodin B, Travis RC, Riboli E, Merritt M, Aune D, Terry K, Cramer DW, Anderson KS. Tumor-associated autoantibodies as early detection markers for ovarian cancer? A prospective evaluation. Int J Cancer 2018; 143:515-526. [PMID: 29473162 PMCID: PMC6019150 DOI: 10.1002/ijc.31335] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 01/23/2018] [Accepted: 02/01/2018] [Indexed: 12/13/2022]
Abstract
Immuno-proteomic screening has identified several tumor-associated autoantibodies (AAb) that may have diagnostic capacity for invasive epithelial ovarian cancer, with AAbs to P53 proteins and cancer-testis antigens (CTAGs) as prominent examples. However, the early detection potential of these AAbs has been insufficiently explored in prospective studies. We performed ELISA measurements of AAbs to CTAG1A, CTAG2, P53 and NUDT11 proteins, for 194 patients with ovarian cancer and 705 matched controls from the European EPIC cohort, using serum samples collected up to 36 months prior to diagnosis under usual care. CA125 was measured using electrochemo-luminiscence. Diagnostic discrimination statistics were calculated by strata of lead-time between blood collection and diagnosis. With lead times ≤6 months, ovarian cancer detection sensitivity at 0.98 specificity (SE98) varied from 0.19 [95% CI 0.08-0.40] for CTAG1A, CTAG2 and NUDT1 to 0.23 [0.10-0.44] for P53 (0.33 [0.11-0.68] for high-grade serous tumors). However, at longer lead-times, the ability of these AAb markers to distinguish future ovarian cancer cases from controls declined rapidly; at lead times >1 year, SE98 estimates were close to zero (all invasive cases, range: 0.01-0.11). Compared to CA125 alone, combined logistic regression scores of AAbs and CA125 did not improve detection sensitivity at equal level of specificity. The added value of these selected AAbs as markers for ovarian cancer beyond CA125 for early detection is therefore limited.
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Affiliation(s)
- Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ) Heidelberg, Germany
| | | | - Anika Hüsing
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ) Heidelberg, Germany
| | - Myrto Barrdahl
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ) Heidelberg, Germany
| | - Marika Hopper
- Virginia G. Piper Center for Personal Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Theron Johnson
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ) Heidelberg, Germany
| | - Anne Tjønneland
- Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Louise Hansen
- Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Agnès Fournier
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif Cedex, F-94805, France
- Gustave Roussy, Villejuif, F-94805, France
| | - Marie-Christine Boutron-Ruault
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif Cedex, F-94805, France
- Gustave Roussy, Villejuif, F-94805, France
| | - Marina Kvaskoff
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif Cedex, F-94805, France
- Gustave Roussy, Villejuif, F-94805, France
| | - Laure Dossus
- International Agency for Research on Cancer, Lyon, France
| | | | - Heiner Boeing
- German Institute of Human Nutrition, Potsdam-Rehbrücke (DIfE), Department of Epidemiology, Nuthetal, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Vassiliki Benetou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Carlo La Vecchia
- Hellenic Health Foundation, Athens, Greece
- Department of Clinical Sciences and Community Health Università degli Studi di Milano, Milano, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1 20133 Milano, Italy
| | - Amalia Mattiello
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for the Study and Prevention of Cancer (ISPO), Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, “Civic – M.P. Arezzo” Hospital, ASP Ragusa, Italy
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Torino and Human Genetics Foundation – HuGeF, Torino, Italy
| | - N. Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Inger T. Gram
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Elisabete Weiderpass
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs. GRANADA. Hopitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiolgía y Salud Pública (CIBERESP), Spain
| | - Carmen Navarro Sanchez
- CIBER de Epidemiolgía y Salud Pública (CIBERESP), Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Eric J. Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Eva Ardanaz
- CIBER de Epidemiolgía y Salud Pública (CIBERESP), Spain
- Centro de Investigación Biomédica En Red (CIBER), Navarra Public Health Institute, Pamplona, Spain. IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Nerea Larranaga
- Public Health Division and BioDonostia Research Institute and CIBERESP, Basque Regional Health Department, San Sebastian, Spain
| | - Eva Lundin
- Department of Medical Biosciences, Umeå University, 901 85 Umeå, Sweden
| | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Sweden
| | - Karin Jirström
- Department of Surgery, Skane University Hospital, Lund University, Malmö, Sweden
| | - Björn Nodin
- Department of Surgery, Skane University Hospital, Lund University, Malmö, Sweden
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Elio Riboli
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Melissa Merritt
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
- University of Hawaii Cancer Center, Cancer Epidemiology Program, Honolulu, HI, USA
| | - Dagfinn Aune
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Kathryn Terry
- Ob/Gyn Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel W. Cramer
- Ob/Gyn Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Karen S. Anderson
- Virginia G. Piper Center for Personal Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
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20
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Autoantibodies as Potential Biomarkers in Breast Cancer. BIOSENSORS-BASEL 2018; 8:bios8030067. [PMID: 30011807 PMCID: PMC6163859 DOI: 10.3390/bios8030067] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 07/11/2018] [Accepted: 07/11/2018] [Indexed: 12/13/2022]
Abstract
Breast cancer is a major cause of mortality in women; however, technologies for early stage screening and diagnosis (e.g., mammography and other imaging technologies) are not optimal for the accurate detection of cancer. This creates demand for a more effective diagnostic means to replace or be complementary to existing technologies for early discovery of breast cancer. Cancer neoantigens could reflect tumorigenesis, but they are hardly detectable at the early stage. Autoantibodies, however, are biologically amplified and hence may be measurable early on, making them promising biomarkers to discriminate breast cancer from healthy tissue accurately. In this review, we summarized the recent findings of breast cancer specific antigens and autoantibodies, which may be useful in early detection, disease stratification, and monitoring of treatment responses of breast cancer.
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21
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Yu X, Noll RR, Romero Dueñas BP, Allgood SC, Barker K, Caplan JL, Machner MP, LaBaer J, Qiu J, Neunuebel MR. Legionella effector AnkX interacts with host nuclear protein PLEKHN1. BMC Microbiol 2018; 18:5. [PMID: 29433439 PMCID: PMC5809941 DOI: 10.1186/s12866-017-1147-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Accepted: 12/21/2017] [Indexed: 11/13/2022] Open
Abstract
Background The intracellular bacterial pathogen Legionella pneumophila proliferates in human alveolar macrophages, resulting in a severe pneumonia termed Legionnaires’ disease. Throughout the course of infection, L. pneumophila remains enclosed in a specialized membrane compartment that evades fusion with lysosomes. The pathogen delivers over 300 effector proteins into the host cell, altering host pathways in a manner that sets the stage for efficient pathogen replication. The L. pneumophila effector protein AnkX targets host Rab GTPases and functions in preventing fusion of the Legionella-containing vacuole with lysosomes. However, the current understanding of AnkX’s interaction with host proteins and the means through which it exerts its cellular function is limited. Results Here, we investigated the protein interaction network of AnkX by using the nucleic acid programmable protein array (NAPPA), a high-density platform comprising 10,000 unique human ORFs. This approach facilitated the discovery of PLEKHN1 as a novel interaction partner of AnkX. We confirmed this interaction through multiple independent in vitro pull-down, co-immunoprecipitation, and cell-based assays. Structured illumination microscopy revealed that endogenous PLEKHN1 is found in the nucleus and on vesicular compartments, whereas ectopically produced AnkX co-localized with lipid rafts at the plasma membrane. In mammalian cells, HaloTag-AnkX co-localized with endogenous PLEKHN1 on vesicular compartments. A central fragment of AnkX (amino acids 491–809), containing eight ankyrin repeats, extensively co-localized with endogenous PLEKHN1, indicating that this region may harbor a new function. Further, we found that PLEKHN1 associated with multiple proteins involved in the inflammatory response. Conclusions Altogether, our study provides evidence that in addition to Rab GTPases, the L. pneumophila effector AnkX targets nuclear host proteins and suggests that AnkX may have novel functions related to manipulating the inflammatory response. Electronic supplementary material The online version of this article (10.1186/s12866-017-1147-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - Rebecca R Noll
- Department of Biological Sciences, University of Delaware, 105 The Green, Newark, DE, 19716, USA
| | - Barbara P Romero Dueñas
- Department of Biological Sciences, University of Delaware, 105 The Green, Newark, DE, 19716, USA
| | - Samual C Allgood
- Department of Biological Sciences, University of Delaware, 105 The Green, Newark, DE, 19716, USA
| | - Kristi Barker
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA
| | - Jeffrey L Caplan
- Department of Biological Sciences, University of Delaware, 105 The Green, Newark, DE, 19716, USA.,Delaware Biotechnology Institute, University of Delaware, Newark, 19716, DE, USA
| | - Matthias P Machner
- Cell Biology and Neurobiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Joshua LaBaer
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA
| | - Ji Qiu
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
| | - M Ramona Neunuebel
- Department of Biological Sciences, University of Delaware, 105 The Green, Newark, DE, 19716, USA.
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22
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Abstract
INTRODUCTION Cell-free protein microarrays represent a special form of protein microarray which display proteins made fresh at the time of the experiment, avoiding storage and denaturation. They have been used increasingly in basic and translational research over the past decade to study protein-protein interactions, the pathogen-host relationship, post-translational modifications, and antibody biomarkers of different human diseases. Their role in the first blood-based diagnostic test for early stage breast cancer highlights their value in managing human health. Cell-free protein microarrays will continue to evolve to become widespread tools for research and clinical management. Areas covered: We review the advantages and disadvantages of different cell-free protein arrays, with an emphasis on the methods that have been studied in the last five years. We also discuss the applications of each microarray method. Expert commentary: Given the growing roles and impact of cell-free protein microarrays in research and medicine, we discuss: 1) the current technical and practical limitations of cell-free protein microarrays; 2) the biomarker discovery and verification pipeline using protein microarrays; and 3) how cell-free protein microarrays will advance over the next five years, both in their technology and applications.
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Affiliation(s)
- Xiaobo Yu
- a State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences , Beijing Institute of Lifeomics , Beijing , China
| | - Brianne Petritis
- b The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute , Arizona State University , Tempe , AZ , USA
| | - Hu Duan
- a State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences , Beijing Institute of Lifeomics , Beijing , China
| | - Danke Xu
- c State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering , Nanjing University , Nanjing , China
| | - Joshua LaBaer
- b The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute , Arizona State University , Tempe , AZ , USA
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23
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Rivera R, Wang J, Yu X, Demirkan G, Hopper M, Bian X, Tahsin T, Magee DM, Qiu J, LaBaer J, Wallstrom G. Automatic Identification and Quantification of Extra-Well Fluorescence in Microarray Images. J Proteome Res 2017; 16:3969-3977. [DOI: 10.1021/acs.jproteome.7b00267] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Robert Rivera
- Department
of Biomedical Informatics, Arizona State University, 13212 East
Shea Boulevard, Scottsdale, Arizona 85259, United States
| | - Jie Wang
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
| | - Xiaobo Yu
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing
Institute of Radiation Medicine, National Center for Protein Sciences (The PHOENIX Center, Beijing), Beijing 102206, P. R. China
| | - Gokhan Demirkan
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
| | - Marika Hopper
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
| | - Xiaofang Bian
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
| | - Tasnia Tahsin
- Department
of Biomedical Informatics, Arizona State University, 13212 East
Shea Boulevard, Scottsdale, Arizona 85259, United States
| | - D. Mitchell Magee
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
| | - Ji Qiu
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
| | - Joshua LaBaer
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
| | - Garrick Wallstrom
- Department
of Biomedical Informatics, Arizona State University, 13212 East
Shea Boulevard, Scottsdale, Arizona 85259, United States
- Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85281, United States
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24
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Yu X, Song L, Petritis B, Bian X, Wang H, Viloria J, Park J, Bui H, Li H, Wang J, Liu L, Yang L, Duan H, McMurray DN, Achkar JM, Magee M, Qiu J, LaBaer J. Multiplexed Nucleic Acid Programmable Protein Arrays. Theranostics 2017; 7:4057-4070. [PMID: 29109798 PMCID: PMC5667425 DOI: 10.7150/thno.20151] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Accepted: 08/03/2017] [Indexed: 12/13/2022] Open
Abstract
Rationale: Cell-free protein microarrays display naturally-folded proteins based on just-in-time in situ synthesis, and have made important contributions to basic and translational research. However, the risk of spot-to-spot cross-talk from protein diffusion during expression has limited the feature density of these arrays. Methods: In this work, we developed the Multiplexed Nucleic Acid Programmable Protein Array (M-NAPPA), which significantly increases the number of displayed proteins by multiplexing as many as five different gene plasmids within a printed spot. Results: Even when proteins of different sizes were displayed within the same feature, they were readily detected using protein-specific antibodies. Protein-protein interactions and serological antibody assays using human viral proteome microarrays demonstrated that comparable hits were detected by M-NAPPA and non-multiplexed NAPPA arrays. An ultra-high density proteome microarray displaying > 16k proteins on a single microscope slide was produced by combining M-NAPPA with a photolithography-based silicon nano-well platform. Finally, four new tuberculosis-related antigens in guinea pigs vaccinated with Bacillus Calmette-Guerin (BCG) were identified with M-NAPPA and validated with ELISA. Conclusion: All data demonstrate that multiplexing features on a protein microarray offer a cost-effective fabrication approach and have the potential to facilitate high throughput translational research.
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Affiliation(s)
- Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - Lusheng Song
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Brianne Petritis
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Xiaofang Bian
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Haoyu Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Jennifer Viloria
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Jin Park
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Hoang Bui
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Han Li
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Jie Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Lei Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - Liuhui Yang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - Hu Duan
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - David N. McMurray
- Department of Microbial Pathogenesis and Immunology, College of Medicine, Texas A&M Health Science Center, College Station, TX 77843, USA
| | - Jacqueline M. Achkar
- Department of Medicine, Albert Einstein College of Medicine, NY 10461, USA; Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Mitch Magee
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Ji Qiu
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Joshua LaBaer
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
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25
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Huang J, Peng X, Zhang K, Li C, Su B, Zhang Y, Yu W. Co-expression and significance of Dok2 and Ras p21 protein activator 1 in breast cancer. Oncol Lett 2017; 14:5386-5392. [PMID: 29098030 PMCID: PMC5652255 DOI: 10.3892/ol.2017.6844] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 06/15/2017] [Indexed: 01/30/2023] Open
Abstract
Docking protein 2 (Dok2) and Ras p21 protein activator 1 (RASA1) are tumor suppressors which have been identified in numerous solid tumors; however, the association between their expression in breast cancer and patient prognosis remains unclear. A total of 285 consecutive patients diagnosed histopathologically with breast cancer who underwent surgery at Jingzhou Central Hospital were selected for the present study. Dok2 and RASA1 protein were explored using histopathology and western blotting techniques, and the association of patient prognosis with clinicopathological parameters was investigated using univariate and multivariate analyses. Weak expression of Dok2/RASA1 was associated with poorly differentiated breast adenocarcinomas; negatively expressed Dok2 and RASA1 were associated with increased tumor size, a higher proportion of axillary lymph node metastasis and later clinical staging. Additionally, Dok2 and RASA1 expression were associated with disease-free survival of patients with breast cancer. As indicated by Cox's regression analysis, Dok2 and RASA1 expression and the high proportion of axillary lymph node metastasis served as significant independent predictors for the recurrence of breast cancer. The results of the present study suggested that combined Dok2 and RASA1 negative expression may serve as an independent prognostic factor for patients following breast cancer surgery.
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Affiliation(s)
- Jiangrong Huang
- Department of Intergrative Medicine, Medical School of Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Xiaochun Peng
- Department of Pathophysiology, Medical School of Yangtze University, Jingzhou, Hubei 434023, P.R. China.,Department of Physiology, Meharry Medical College, Nashville, TN 37203, USA
| | - Kun Zhang
- Department of Anesthesiology, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Chunyan Li
- Department of Pathology, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Bo Su
- Department of Pathology, Medical School of Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Yanxiang Zhang
- Department of Pathology, Medical School of Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Wangui Yu
- Department of Physiology, Medical School of Yangtze University, Jingzhou, Hubei 434023, P.R. China
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26
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Ewaisha R, Panicker G, Maranian P, Unger ER, Anderson KS. Serum Immune Profiling for Early Detection of Cervical Disease. Am J Cancer Res 2017; 7:3814-3823. [PMID: 29109779 PMCID: PMC5667406 DOI: 10.7150/thno.21098] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 07/09/2017] [Indexed: 12/25/2022] Open
Abstract
Background: The most recent (2012) worldwide estimates from International Agency for Research on Cancer indicate that approximately 528,000 new cases and 270,000 deaths per year are attributed to cervical cancer worldwide. The disease is preventable with HPV vaccination and with early detection and treatment of pre-invasive cervical intraepithelial neoplasia, CIN. Antibodies (Abs) to HPV proteins are under investigation as potential biomarkers for early detection. Methods: To detect circulating HPV-specific IgG Abs, we developed programmable protein arrays (NAPPA) that display the proteomes of two low-risk HPV types (HPV6 and 11) and ten oncogenic high-risk HPV types (HPV16, 18, 31, 33, 35, 39, 45, 51, 52 and 58). Arrays were probed with sera from women with CIN 0/I (n=78), CIN II/III (n=84), or invasive cervical cancer (ICC, n=83). Results: Abs to any early (E) HPV protein were detected less frequently in women with CIN 0/I (23.7%) than women with CIN II/III (39.0%) and ICC (46.1%, p<0.04). Of the E Abs, anti-E7 Abs were the most frequently detected (6.6%, 19.5%, and 30.3%, respectively). The least frequently detected Abs were E1 and E2-Abs in CIN 0/I (1.3%) and E1-Abs in CIN II/III (1.2%) and ICC (7.9%). HPV16-specific Abs correlated with HPV16 DNA detected in the cervix in 0% of CIN 0/I, 21.2% of CIN II/III, and 45.5% of ICC. A significant number (29 - 73%) of E4, E7, L1, and L2 Abs had cross-reactivity between HPV types. Conclusion: HPV protein arrays provide a valuable high-throughput tool for measuring the breadth, specificity, and heterogeneity of the serologic response to HPV in cervical disease.
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27
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Wang H, Demirkan G, Bian X, Wallstrom G, Barker K, Karthikeyan K, Tang Y, Pasha SF, Leighton JA, Qiu J, LaBaer J. Identification of Antibody Against SNRPB, Small Nuclear Ribonucleoprotein-Associated Proteins B and B', as an Autoantibody Marker in Crohn's Disease using an Immunoproteomics Approach. J Crohns Colitis 2017; 11:848-856. [PMID: 28204086 DOI: 10.1093/ecco-jcc/jjx019] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Current non-invasive biomarkers for Crohn's disease are limited in their utility. Progress in identifying individual autoantigens and autoantibodies in Crohn's disease has been challenging due to limitations of available immunoassays. AIMS Our aim was to identify autoantibodies associated with Crohn's disease that may be useful in diagnosis and management using an innovative protein array technology, namely nucleic acid programmable protein arrays [NAPPA]. METHODS Serum samples of 96 patients with established Crohn's disease and 96 healthy controls were included and evenly split into discovery and validation sets randomly. Autoantibodies of both IgG and IgA classes were profiled against ~1900 human proteins in the discovery set on NAPPA. Autoantibodies discovered to be Crohn's disease-specific were further validated in the independent validation set by enzyme-linked immunosorbent assay. RESULTS Overall, reactivity of IgG autoantibodies was stronger than that of IgA autoantibodies; however, IgA autoantibodies showed greater differential reactivity between cases and controls. Four IgA autoantibodies against SNRPB, PRPH, PTTG1 and SNAI1 were newly identified with sensitivities above 15% at 95% specificity, among which anti-SNRPB-IgA had the highest sensitivity of 24.0%. Autoantibodies associated with specific disease subtypes were also found. CONCLUSIONS As one of the first studies to use immunoproteomics for the identification of autoantibodies in Crohn's disease, our results support the utility of NAPPA in implementing future expanded studies with better coverage of the human proteome and microbial proteomes relevant to Crohn's disease and identifying antibody markers that may have clinical impact in diagnosis and management.
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Affiliation(s)
- Haoyu Wang
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Gokhan Demirkan
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Xiaofang Bian
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Garrick Wallstrom
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Kristi Barker
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Kailash Karthikeyan
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Yanyang Tang
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Shabana F Pasha
- Division of Gastroenterology and Hepatology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Jonathan A Leighton
- Division of Gastroenterology and Hepatology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Ji Qiu
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Joshua LaBaer
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
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Larsen K, Momeni J, Farajzadeh L, Callesen H. Splice variants of porcine PPHLN1 encoding periphilin-1. GENE REPORTS 2017. [DOI: 10.1016/j.genrep.2017.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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29
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Katchman BA, Chowell D, Wallstrom G, Vitonis AF, LaBaer J, Cramer DW, Anderson KS. Autoantibody biomarkers for the detection of serous ovarian cancer. Gynecol Oncol 2017; 146:129-136. [PMID: 28427776 DOI: 10.1016/j.ygyno.2017.04.005] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 03/24/2017] [Accepted: 04/07/2017] [Indexed: 12/30/2022]
Abstract
Objective The purpose of this study was to identify a panel of novel serum tumor antigen-associated autoantibody (TAAb) biomarkers for the diagnosis of high-grade serous ovarian cancer. METHODS To detect TAAb we probed high-density programmable protein microarrays (NAPPA) containing 10,247 antigens with sera from patients with serous ovarian cancer (n=30 cases/30 healthy controls) and measured bound IgG. We identified 735 promising tumor antigens and evaluated these with an independent set of serous ovarian cancer sera (n=30 cases/30 benign disease controls/30 healthy controls). Thirty-nine potential tumor autoantigens were identified and evaluated using an orthogonal programmable ELISA platform against a total of 153 sera samples (n=63 cases/30 benign disease controls/60 healthy controls). Sensitivities at 95% specificity were calculated and a classifier for the detection of high-grade serous ovarian cancer was constructed. RESULTS We identified 11-TAAbs (ICAM3, CTAG2, p53, STYXL1, PVR, POMC, NUDT11, TRIM39, UHMK1, KSR1, and NXF3) that distinguished high-grade serous ovarian cancer cases from healthy controls with a combined 45% sensitivity at 98% specificity. CONCLUSION These are potential circulating biomarkers for the detection of serous ovarian cancer, and warrant confirmation in larger clinical cohorts.
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Affiliation(s)
- Benjamin A Katchman
- Virginia G. Piper Center for Personal Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Diego Chowell
- Virginia G. Piper Center for Personal Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Garrick Wallstrom
- Virginia G. Piper Center for Personal Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Allison F Vitonis
- Department of Gynecology and Reproductive Biology, Brigham and Women's Hospital, Boston, MA, USA
| | - Joshua LaBaer
- Virginia G. Piper Center for Personal Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Daniel W Cramer
- Department of Gynecology and Reproductive Biology, Brigham and Women's Hospital, Boston, MA, USA
| | - Karen S Anderson
- Virginia G. Piper Center for Personal Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
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30
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Rastogi A, Ali A, Tan SH, Banerjee S, Chen Y, Cullen J, Xavier CP, Mohamed AA, Ravindranath L, Srivastav J, Young D, Sesterhenn IA, Kagan J, Srivastava S, McLeod DG, Rosner IL, Petrovics G, Dobi A, Srivastava S, Srinivasan A. Autoantibodies against oncogenic ERG protein in prostate cancer: potential use in diagnosis and prognosis in a panel with C-MYC, AMACR and HERV-K Gag. Genes Cancer 2017; 7:394-413. [PMID: 28191285 PMCID: PMC5302040 DOI: 10.18632/genesandcancer.126] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Overdiagnosis and overtreatment of prostate cancer (CaP) is attributable to widespread reliance on PSA screening in the US. This has prompted us and others to search for improved biomarkers for CaP, to facilitate early detection and disease stratification. In this regard, autoantibodies (AAbs) against tumor antigens could serve as potential candidates for diagnosis and prognosis of CaP. Towards this, our goals were: i) To investigate whether AAbs against ERG oncoprotein (overexpressed in 25-50% of Caucasian American and African American CaP) are present in the sera of CaP patients; ii) To evaluate an AAb panel to enhance CaP detection. The results using an enzyme-linked immunosorbent assay (ELISA) showed that anti-ERG AAbs are present in a significantly higher proportion in the sera of CaP patients compared to healthy controls (p = 0.0001). Furthermore, a panel of AAbs against ERG, AMACR and human endogenous retrovirus-K Gag successfully differentiated CaP patient sera from healthy controls (AUC = 0.791). These results demonstrate for the first time that anti-ERG AAbs are present in the sera of CaP patients. In addition, the data also suggest that AAbs against ERG together with AMACR and HERV-K Gag may be a useful panel of biomarkers for diagnosis and prognosis of CaP.
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Affiliation(s)
- Anshu Rastogi
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Amina Ali
- Urology Service, Department of Surgery, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Shyh-Han Tan
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Sreedatta Banerjee
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Yongmei Chen
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Jennifer Cullen
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Charles P Xavier
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Ahmed A Mohamed
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Lakshmi Ravindranath
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Jigisha Srivastav
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Denise Young
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | - Jacob Kagan
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Sudhir Srivastava
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - David G McLeod
- Urology Service, Department of Surgery, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Inger L Rosner
- Urology Service, Department of Surgery, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Gyorgy Petrovics
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Albert Dobi
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Shiv Srivastava
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Alagarsamy Srinivasan
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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Bian X, Wasserfall C, Wallstrom G, Wang J, Wang H, Barker K, Schatz D, Atkinson M, Qiu J, LaBaer J. Tracking the Antibody Immunome in Type 1 Diabetes Using Protein Arrays. J Proteome Res 2017; 16:195-203. [PMID: 27690455 DOI: 10.1021/acs.jproteome.6b00354] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
We performed an unbiased proteome-scale profiling of humoral autoimmunity in recent-onset type 1 diabetes (T1D) patients and nondiabetic controls against ∼10 000 human proteins using a Nucleic Acid Programmable Protein Array (NAPPA) platform, complemented by a knowledge-based selection of proteins from genes enriched in human pancreas. Although the global response was similar between cases and controls, we identified and then validated six specific novel T1D-associated autoantibodies (AAbs) with sensitivities that ranged from 16 to 27% at 95% specificity. These included AAbs against PTPRN2, MLH1, MTIF3, PPIL2, NUP50 (from NAPPA screening), and QRFPR (by targeted ELISA). Immunohistochemistry demonstrated that NUP50 protein behaved differently in islet cells, where it stained both nucleus and cytoplasm, compared with only nuclear staining in exocrine pancreas. Conversely, PPIL2 staining was absent in islet cells, despite its presence in exocrine cells. The combination of anti-PTPRN2, -MLH1, -PPIL2, and -QRFPR had an AUC of 0.74 and 37.5% sensitivity at 95% specificity. These data indicate that these markers behave independently and support the use of unbiased screening to find biomarkers because the majority was not predicted based on predicted abundance. Our study enriches the knowledge of the "autoantibody-ome" in unprecedented breadth and width.
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Affiliation(s)
- Xiaofang Bian
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Clive Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida , Gainesville, Florida 32603, United States
| | - Garrick Wallstrom
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Jie Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Haoyu Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Kristi Barker
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Desmond Schatz
- Department of Pediatrics, College of Medicine, University of Florida , Gainesville, Florida 30607, United States
| | - Mark Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida , Gainesville, Florida 32603, United States
| | - Ji Qiu
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Joshua LaBaer
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
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32
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Wang D, Yang L, Zhang P, LaBaer J, Hermjakob H, Li D, Yu X. AAgAtlas 1.0: a human autoantigen database. Nucleic Acids Res 2016; 45:D769-D776. [PMID: 27924021 PMCID: PMC5210642 DOI: 10.1093/nar/gkw946] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2016] [Revised: 09/22/2016] [Accepted: 10/11/2016] [Indexed: 12/25/2022] Open
Abstract
Autoantibodies refer to antibodies that target self-antigens, which can play pivotal roles in maintaining homeostasis, distinguishing normal from tumor tissue and trigger autoimmune diseases. In the last three decades, tremendous efforts have been devoted to elucidate the generation, evolution and functions of autoantibodies, as well as their target autoantigens. However, reports of these countless previously identified autoantigens are randomly dispersed in the literature. Here, we constructed an AAgAtlas database 1.0 using text-mining and manual curation. We extracted 45 830 autoantigen-related abstracts and 94 313 sentences from PubMed using the keywords of either ‘autoantigen’ or ‘autoantibody’ or their lexical variants, which were further refined to 25 520 abstracts, 43 253 sentences and 3984 candidates by our bio-entity recognizer based on the Protein Ontology. Finally, we identified 1126 genes as human autoantigens and 1071 related human diseases, with which we constructed a human autoantigen database (AAgAtlas database 1.0). The database provides a user-friendly interface to conveniently browse, retrieve and download human autoantigens as well as their associated diseases. The database is freely accessible at http://biokb.ncpsb.org/aagatlas/. We believe this database will be a valuable resource to track and understand human autoantigens as well as to investigate their functions in basic and translational research.
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Affiliation(s)
- Dan Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Liuhui Yang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Ping Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Joshua LaBaer
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Henning Hermjakob
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Radiation Medicine, Beijing 102206, China .,European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Dong Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Radiation Medicine, Beijing 102206, China
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Xia J, Shi J, Wang P, Song C, Wang K, Zhang J, Ye H. Tumour-Associated Autoantibodies as Diagnostic Biomarkers for Breast Cancer: A Systematic Review and Meta-Analysis. Scand J Immunol 2016; 83:393-408. [DOI: 10.1111/sji.12430] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 03/07/2016] [Indexed: 12/22/2022]
Affiliation(s)
- J. Xia
- Department of Epidemiology and Health Statistics; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Key Laboratory of Tumor Epidemiology; College of Public Health; Zhengzhou University; Zhengzhou China
| | - J. Shi
- Department of Epidemiology and Health Statistics; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Key Laboratory of Tumor Epidemiology; College of Public Health; Zhengzhou University; Zhengzhou China
| | - P. Wang
- Department of Epidemiology and Health Statistics; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Key Laboratory of Tumor Epidemiology; College of Public Health; Zhengzhou University; Zhengzhou China
| | - C. Song
- Department of Epidemiology and Health Statistics; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Key Laboratory of Tumor Epidemiology; College of Public Health; Zhengzhou University; Zhengzhou China
| | - K. Wang
- Department of Epidemiology and Health Statistics; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Key Laboratory of Tumor Epidemiology; College of Public Health; Zhengzhou University; Zhengzhou China
| | - J. Zhang
- Department of Epidemiology and Health Statistics; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Key Laboratory of Tumor Epidemiology; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Province Academy of Medical and Pharmaceutical Sciences; Zhengzhou University; Zhengzhou China
| | - H. Ye
- Department of Epidemiology and Health Statistics; College of Public Health; Zhengzhou University; Zhengzhou China
- Henan Key Laboratory of Tumor Epidemiology; College of Public Health; Zhengzhou University; Zhengzhou China
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Gupta P, Suman S, Mishra M, Mishra S, Srivastava N, Kumar V, Singh PK, Shukla Y. Autoantibodies against TYMS and PDLIM1 proteins detected as circulatory signatures in Indian breast cancer patients. Proteomics Clin Appl 2016; 10:564-573. [DOI: 10.1002/prca.201500138] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Prachi Gupta
- Proteomics and Environment Carcinogenesis Laboratory; Food, Drug and Chemical Toxicology; Group; CSIR-Indian Institute of Toxicology Research (CSIR-IITR); Lucknow Uttar Pradesh India
- Academy of Scientific and Innovative Research (AcSIR); CSIR-IITR Campus; Lucknow Uttar Pradesh India
| | - Shankar Suman
- Proteomics and Environment Carcinogenesis Laboratory; Food, Drug and Chemical Toxicology; Group; CSIR-Indian Institute of Toxicology Research (CSIR-IITR); Lucknow Uttar Pradesh India
- Academy of Scientific and Innovative Research (AcSIR); CSIR-IITR Campus; Lucknow Uttar Pradesh India
| | - Manisha Mishra
- Plant Molecular Biology Laboratory; CSIR-National Botanical Research Institute; Lucknow Uttar Pradesh India
- Academy of Scientific and Innovative Research (AcSIR); CSIR-IITR Campus; Lucknow Uttar Pradesh India
| | - Sanjay Mishra
- Proteomics and Environment Carcinogenesis Laboratory; Food, Drug and Chemical Toxicology; Group; CSIR-Indian Institute of Toxicology Research (CSIR-IITR); Lucknow Uttar Pradesh India
- Academy of Scientific and Innovative Research (AcSIR); CSIR-IITR Campus; Lucknow Uttar Pradesh India
| | - Nidhi Srivastava
- Environment Toxicology Laboratory; CSIR-Indian Institute of Toxicology Research; Lucknow Uttar Pradesh India
- Academy of Scientific and Innovative Research (AcSIR); CSIR-IITR Campus; Lucknow Uttar Pradesh India
| | - Vijay Kumar
- Department of Surgical Oncology; King George's Medical University; Lucknow Uttar Pradesh India
| | - Pradhyumna Kumar Singh
- Plant Molecular Biology Laboratory; CSIR-National Botanical Research Institute; Lucknow Uttar Pradesh India
| | - Yogeshwer Shukla
- Proteomics and Environment Carcinogenesis Laboratory; Food, Drug and Chemical Toxicology; Group; CSIR-Indian Institute of Toxicology Research (CSIR-IITR); Lucknow Uttar Pradesh India
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Yu X, Petritis B, LaBaer J. Advancing translational research with next-generation protein microarrays. Proteomics 2016; 16:1238-50. [PMID: 26749402 PMCID: PMC7167888 DOI: 10.1002/pmic.201500374] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 11/23/2015] [Accepted: 01/04/2016] [Indexed: 01/14/2023]
Abstract
Protein microarrays are a high-throughput technology used increasingly in translational research, seeking to apply basic science findings to enhance human health. In addition to assessing protein levels, posttranslational modifications, and signaling pathways in patient samples, protein microarrays have aided in the identification of potential protein biomarkers of disease and infection. In this perspective, the different types of full-length protein microarrays that are used in translational research are reviewed. Specific studies employing these microarrays are presented to highlight their potential in finding solutions to real clinical problems. Finally, the criteria that should be considered when developing next-generation protein microarrays are provided.
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Affiliation(s)
- Xiaobo Yu
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein Sciences (The PHOENIX Center, Beijing)BeijingP. R. China
- The Virginia G. Piper Center for Personalized DiagnosticsBiodesign InstituteArizona State UniversityTempeAZUSA
| | - Brianne Petritis
- The Virginia G. Piper Center for Personalized DiagnosticsBiodesign InstituteArizona State UniversityTempeAZUSA
| | - Joshua LaBaer
- The Virginia G. Piper Center for Personalized DiagnosticsBiodesign InstituteArizona State UniversityTempeAZUSA
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Comparative Study of Autoantibody Responses between Lung Adenocarcinoma and Benign Pulmonary Nodules. J Thorac Oncol 2016; 11:334-45. [PMID: 26896032 DOI: 10.1016/j.jtho.2015.11.011] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 11/14/2015] [Accepted: 11/30/2015] [Indexed: 12/31/2022]
Abstract
INTRODUCTION The reduction in lung cancer mortality associated with computed tomography (CT) screening has led to its increased use and a concomitant increase in the detection of benign pulmonary nodules. Many individuals found to have benign nodules undergo unnecessary, costly, and invasive procedures. Therefore, there is a need for companion diagnostics that stratify individuals with pulmonary nodules into high-risk or low-risk groups. Lung cancers can trigger host immune responses and elicit antibodies against tumor antigens. The identification of these autoantibodies (AAbs) and their corresponding antigens may expand our knowledge of cancer immunity, leading to early diagnosis or even benefiting immunotherapy. Previous studies were performed mostly in the context of comparing cancers and healthy (smoker) controls. We have performed one of the first studies to understand humoral immune response in patients with cancer, patients with benign nodules, and healthy smokers. METHODS We first profiled seroreactivity to 10,000 full-length human proteins in 40 patients with early-stage lung cancer and 40 smoker controls by using nucleic acid programmable protein arrays to identify candidate cancer-specific AAbs. Enzyme-linked immunosorbent assays of promising candidates were performed on 137 patients with lung cancer and 127 smoker controls, as well as on 170 subjects with benign pulmonary nodules. RESULTS From protein microarray screening experiments using a discovery set of 40 patients and 40 smoker controls, 17 antigens showing higher reactivity in lung cancer cases relative to the controls were subsequently selected for evaluation in a large sample set (n = 264) by using enzyme-linked immunosorbent assay. A five-AAb classifier (tetratricopeptide repeat domain 14 [TTC14], B-Raf proto-oncogene, serine/threonine kinase [BRAF], actin like 6B [ACTL6B], MORC family CW-type zinc finger 2 [MORC2], and cancer/testis antigen 1B [CTAG1B]) that can differentiate lung cancers from smoker controls with a sensitivity of 30% at 89% specificity was developed. We further tested AAb responses in subjects with CT-positive benign nodules (n = 170), and developed a five-AAb panel (keratin 8, type II, TTC14, Kruppel-like factor 8, BRAF, and tousled like kinase 1) with a sensitivity of 30% at 88% specificity. Interestingly, messenger RNA levels of six AAb targets (TTC14, BRAF, MORC family CW-type zinc finger 2, cancer/testis antigen 1B, keratin 8, type II, and tousled like kinase 1) were also found to increase in lung adenocarcinoma tissues based on The Cancer Genome Atlas data set. CONCLUSION We discovered AAbs associated with lung adenocaricnoma that have the potential to differentiate cancer from CT-positive benign diseases. We believe that these antibodies warrant future validation using a larger sample set and/or longitudinal samples individually or as a panel. They could potentially be part of companion molecular diagnostic modalities that will benefit subjects undergoing CT screening for lung cancer.
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Ewaisha R, Gawryletz CD, Anderson KS. Crucial considerations for pipelines to validate circulating biomarkers for breast cancer. Expert Rev Proteomics 2016; 13:201-11. [PMID: 26653344 DOI: 10.1586/14789450.2016.1132170] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Despite decades of progress in breast imaging, breast cancer remains the second most common cause of cancer mortality in women. The rapidly proliferative breast cancers that are associated with high relapse rates and mortality frequently present in younger women, in unscreened individuals, or in the intervals between screening mammography. Biomarkers exist for monitoring metastatic disease, such as CEA, CA27.29 and CA15-3, but there are no circulating biomarkers clinically available for early detection, prognosis, or monitoring for clinical relapse. There has been significant progress in the discovery of potential circulating biomarkers, including proteins, autoantibodies, nucleic acids, exosomes, and circulating tumor cells, but the vast majority of these biomarkers have not progressed beyond initial research discovery, and none have yet been approved for clinical use in early stage disease. Here, the authors review the crucial considerations of developing pipelines for the rapid evaluation of circulating biomarkers for breast cancer.
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Affiliation(s)
- Radwa Ewaisha
- a Center for Personalized Diagnostics, Biodesign Institute , Arizona State University , Tempe , AZ , USA
| | - Chelsea D Gawryletz
- b Department of Medical Oncology , Mayo Clinic Arizona , Scottsdale , AZ , USA
| | - Karen S Anderson
- a Center for Personalized Diagnostics, Biodesign Institute , Arizona State University , Tempe , AZ , USA.,b Department of Medical Oncology , Mayo Clinic Arizona , Scottsdale , AZ , USA
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