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Wang J, Wang F, Wang N, Zhang MY, Wang HY, Huang GL. Diagnostic and Prognostic Value of Protein Post-translational Modifications in Hepatocellular Carcinoma. J Clin Transl Hepatol 2023; 11:1192-1200. [PMID: 37577238 PMCID: PMC10412711 DOI: 10.14218/jcth.2022.00006s] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 02/03/2023] [Accepted: 02/21/2023] [Indexed: 07/03/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a common malignant tumor with high incidence and cancer mortality worldwide. Post-translational modifications (PTMs) of proteins have a great impact on protein function. Almost all proteins can undergo PTMs, including phosphorylation, acetylation, methylation, glycosylation, ubiquitination, and so on. Many studies have shown that PTMs are related to the occurrence and development of cancers. The findings provide novel therapeutic targets for cancers, such as glypican-3 and mucin-1. Other clinical implications are also found in the studies of PTMs. Diagnostic or prognostic value, and response to therapy have been identified. In HCC, it has been shown that glycosylated alpha-fetoprotein (AFP) has a higher detection rate for early liver cancer than conventional AFP. In this review, we mainly focused on the diagnostic and prognostic value of PTM, in order to provide new insights into the clinical implication of PTM in HCC.
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Affiliation(s)
- Jing Wang
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China
- China-America Cancer Research Institute, Key Laboratory for Epigenetics of Dongguan City, Guangdong Medical University, Dongguan, Guangdong, China
| | - Fangfang Wang
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China
- China-America Cancer Research Institute, Key Laboratory for Epigenetics of Dongguan City, Guangdong Medical University, Dongguan, Guangdong, China
| | - Ning Wang
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China
- China-America Cancer Research Institute, Key Laboratory for Epigenetics of Dongguan City, Guangdong Medical University, Dongguan, Guangdong, China
| | - Mei-Yin Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Hui-Yun Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Guo-Liang Huang
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China
- China-America Cancer Research Institute, Key Laboratory for Epigenetics of Dongguan City, Guangdong Medical University, Dongguan, Guangdong, China
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2
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Liu Y, Li D, Chen Y, Liu Y, Lin Y, Huang X, Wu T, Wang C, Ding J. Integrated bioinformatics analysis for conducting a prognostic model and identifying immunotherapeutic targets in gastric cancer. BMC Bioinformatics 2023; 24:191. [PMID: 37161430 PMCID: PMC10170748 DOI: 10.1186/s12859-023-05312-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 04/28/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND Gastric cancer is the third leading cause of death from cancer worldwide and has a poor prognosis. Practical risk scores and prognostic models for gastric cancer are lacking. While immunotherapy has succeeded in some cancers, few gastric cancer patients benefit from immunotherapy. Immune genes and the tumor microenvironment (TME) are essential for cancer progression and immunotherapy response. However, the roles of immune genes and the tumor microenvironment in immunotherapy remain unclear. The study aimed to construct a prognostic prediction model and identify immunotherapeutic targets for gastric cancer (GC) patients by exploring immune genes and the tumor microenvironment. RESULTS An immune-related risk score (IRRS) model, including APOH, RNASE2, F2R, DEFB126, CXCL6, and CXCL3 genes, was constructed for risk stratification. Patients in the low-risk group, which was characterized by elevated tumor mutation burden (TMB) have higher survival rate. The risk level was remarkably correlated with tumor-infiltrating immune cells (TIICs), the immune checkpoint molecule expression, and immunophenoscore (IPS). CXCL3 and CXCL6 were significantly upregulated in gastric cancer tissues compared with normal tissues using the UALCAN database and RT-qPCR. The nomogram showed good calibration and moderate discrimination in predicting overall survival (OS) at 1-, 3-, and 5- year for gastric cancer patients using risk-level and clinical characteristics. CONCLUSION Our findings provided a risk stratification and prognosis prediction tool for gastric cancer patients and further the research into immunotherapy in gastric cancer.
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Affiliation(s)
- YaLing Liu
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Dan Li
- Department of Gastroenterology, Fujian Medical University Union Hospital, Fuzhou, 350212, China
| | - Yong Chen
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - YiJuan Liu
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - YiJuan Lin
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - XunRu Huang
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Ting Wu
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - ChengDang Wang
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jian Ding
- Department of Gastroenterology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
- Department of Gastroenterology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
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3
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Hu M, Zhang R, Yang J, Zhao C, Liu W, Huang Y, Lyu H, Xiao S, Guo D, Zhou C, Tang J. The role of N-glycosylation modification in the pathogenesis of liver cancer. Cell Death Dis 2023; 14:222. [PMID: 36990999 PMCID: PMC10060418 DOI: 10.1038/s41419-023-05733-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 03/02/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
N-glycosylation is one of the most common types of protein modifications and it plays a vital role in normal physiological processes. However, aberrant N-glycan modifications are closely associated with the pathogenesis of diverse diseases, including processes such as malignant transformation and tumor progression. It is known that the N-glycan conformation of the associated glycoproteins is altered during different stages of hepatocarcinogenesis. Characterizing the heterogeneity and biological functions of glycans in liver cancer patients will facilitate a deeper understanding of the molecular mechanisms of liver injury and hepatocarcinogenesis. In this article, we review the role of N-glycosylation in hepatocarcinogenesis, focusing on epithelial-mesenchymal transition, extracellular matrix changes, and tumor microenvironment formation. We highlight the role of N-glycosylation in the pathogenesis of liver cancer and its potential applications in the treatment or diagnosis of liver cancer.
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Affiliation(s)
- Mengyu Hu
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Rui Zhang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Jiaren Yang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Chenshu Zhao
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Wei Liu
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Yuan Huang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Hao Lyu
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Shuai Xiao
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Dong Guo
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Cefan Zhou
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China.
| | - Jingfeng Tang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China.
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4
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Ge Y, Xu B, Cai H, Jing W, Ouyang Q, Yuan Q, Li X, Fan Y, Shen Y, Shi Q, Wang Q, Cui L, Yin X, Ma G. Diagnostic role of plasma ORM2 in differentiating prostate cancer from benign prostatic hyperplasia. J Cancer Res Clin Oncol 2022; 149:2301-2310. [PMID: 36198834 DOI: 10.1007/s00432-022-04380-9] [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: 02/28/2022] [Accepted: 09/23/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE Markers are needed to increase the diagnostic accuracy of prostate-specific antigen (PSA) in prostate cancer (PCa) screening. Mounting evidence has shown that plasma proteins can be hopeful biomarkers for cancer diagnosis. METHODS Tandem mass tag (TMT)-based proteomics and parallel reaction monitoring (PRM) analysis were used to screen the differential proteins and further validated in other independent studies (n = 539). Receiver-operating characteristic (ROC), decision curves and nomograms were applied to assess the diagnostic accuracy of biomarkers. RESULTS Three candidate proteins (DBP, LCAT and ORM2) were preliminarily screened. Subsequent validation studies revealed significant upregulation of ORM2 in PCa patients across other independent cohorts. ORM2 yielded excellent discriminative power for PCa from benign prostatic hyperplasia (BPH) patients (AUC = 0.861 and 0.814 in validation phases 2a and 2b, respectively). Importantly, the combination of ORM2 and PSA gave better predictive accuracy than PSA alone. We incorporated age, PSA and ORM2 into a nomogram, which yielded C-index of 0.883 in validation phase 2a. A similar C-index of 0.879 was obtained in external validation phase 2b. CONCLUSIONS In summary, our study suggests that ORM2 could be treated as a complementary biomarker for PSA in distinguishing PCa from BPH.
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Affiliation(s)
- Yuqiu Ge
- Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, 211198, China
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, 214122, China
| | - Bin Xu
- Department of Urology, The Affiliated Zhongda Hospital of Southeast University, Nanjing, 210003, China
| | - Hongzhou Cai
- Department of Urologic Surgery, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing, 210009, China
| | - Wentao Jing
- Department of Urology, Yixing People's Hospital, Wuxi, 214200, China
| | - Qiong Ouyang
- Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, 211198, China
| | - Qinbo Yuan
- Department of Urology, Wuxi Fifth People's Hospital, Wuxi, 214011, China
| | - Xu Li
- Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, 211198, China
| | - Yuanming Fan
- Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, 211198, China
| | - Yang Shen
- Department of Urology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210000, China
| | - Qianqian Shi
- Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, 213000, China
| | - Qiangdong Wang
- Department of Urology, Huaiyin Hospital of Huai'an City, Huai'an, China.
- Department of Urology, Huaiyin People's Hospital of Huai'an City, Huai'an, China.
| | - Li Cui
- Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, 213000, China.
| | - Xiaojian Yin
- State Key Laboratory of Natural Medicines, Clinical Metabolomics Center, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
| | - Gaoxiang Ma
- Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, 211198, China.
- State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
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5
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Naryzhny S, Ronzhina N, Zorina E, Kabachenko F, Klopov N, Zgoda V. Construction of 2DE Patterns of Plasma Proteins: Aspect of Potential Tumor Markers. Int J Mol Sci 2022; 23:ijms231911113. [PMID: 36232415 PMCID: PMC9569744 DOI: 10.3390/ijms231911113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
The use of tumor markers aids in the early detection of cancer recurrence and prognosis. There is a hope that they might also be useful in screening tests for the early detection of cancer. Here, the question of finding ideal tumor markers, which should be sensitive, specific, and reliable, is an acute issue. Human plasma is one of the most popular samples as it is commonly collected in the clinic and provides noninvasive, rapid analysis for any type of disease including cancer. Many efforts have been applied in searching for “ideal” tumor markers, digging very deep into plasma proteomes. The situation in this area can be improved in two ways—by attempting to find an ideal single tumor marker or by generating panels of different markers. In both cases, proteomics certainly plays a major role. There is a line of evidence that the most abundant, so-called “classical plasma proteins”, may be used to generate a tumor biomarker profile. To be comprehensive these profiles should have information not only about protein levels but also proteoform distribution for each protein. Initially, the profile of these proteins in norm should be generated. In our work, we collected bibliographic information about the connection of cancers with levels of “classical plasma proteins”. Additionally, we presented the proteoform profiles (2DE patterns) of these proteins in norm generated by two-dimensional electrophoresis with mass spectrometry and immunodetection. As a next step, similar profiles representing protein perturbations in plasma produced in the case of different cancers will be generated. Additionally, based on this information, different test systems can be developed.
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Affiliation(s)
- Stanislav Naryzhny
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
- Correspondence: ; Tel.: +7-911-176-4453
| | - Natalia Ronzhina
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
| | - Elena Zorina
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
| | - Fedor Kabachenko
- Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Nikolay Klopov
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
| | - Victor Zgoda
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
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6
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Kolev M, Das M, Gerber M, Baver S, Deschatelets P, Markiewski MM. Inside-Out of Complement in Cancer. Front Immunol 2022; 13:931273. [PMID: 35860237 PMCID: PMC9291441 DOI: 10.3389/fimmu.2022.931273] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/06/2022] [Indexed: 12/21/2022] Open
Abstract
The role of complement in cancer has received increasing attention over the last decade. Recent studies provide compelling evidence that complement accelerates cancer progression. Despite the pivotal role of complement in fighting microbes, complement seems to suppress antitumor immunity via regulation of host cell in the tumor microenvironment. Although most studies link complement in cancer to complement activation in the extracellular space, the discovery of intracellular activation of complement, raises the question: what is the relevance of this process for malignancy? Intracellular activation is pivotal for the survival of immune cells. Therefore, complement can be important for tumor cell survival and growth regardless of the role in immunosuppression. On the other hand, because intracellular complement (the complosome) is indispensable for activation of T cells, these functions will be essential for priming antitumor T cell responses. Here, we review functions of complement in cancer with the consideration of extra and intracellular pathways of complement activation and spatial distribution of complement proteins in tumors and periphery and provide our take on potential significance of complement as biomarker and target for cancer therapy.
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Affiliation(s)
- Martin Kolev
- Discovery, Apellis Pharmaceuticals, Waltham, MA, United States
- *Correspondence: Martin Kolev, ; Maciej M. Markiewski,
| | - Madhumita Das
- Discovery, Apellis Pharmaceuticals, Waltham, MA, United States
| | - Monica Gerber
- Legal Department, Apellis Pharmaceuticals, Waltham, MA, United States
| | - Scott Baver
- Medical Affairs, Apellis Pharmaceuticals, Waltham, MA, United States
| | | | - Maciej M. Markiewski
- Department of Immunotherapeutics and Biotechnology, Jerry H. Hodge School of Pharmacy, Texas Tech University Health Sciences Center, Abilene, TX, United States
- *Correspondence: Martin Kolev, ; Maciej M. Markiewski,
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7
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Fonghem P, Pisitkun T, Rattanapinyopituk K, Sirivisoot S, Rungsipipat A. Investigation of proteomic profiles in canine lymphoma using tandem mass tag-based quantitative proteomics approach. Vet World 2022; 15:1333-1340. [PMID: 35765478 PMCID: PMC9210836 DOI: 10.14202/vetworld.2022.1333-1340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/18/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Aim: Specific tumor biomarkers are useful for the early diagnosis of cancer or can predict the recurrence of neoplastic disease in humans and animals. Lymphoma in dogs could be classified into B-, T-, and NK-cell origins. T-cell lymphoma has the worst prognosis with a shorter survival time and disease-free interval. This study aimed to identify the differential serum protein expressions of canine B- and T-cell lymphomas compared with healthy dogs using a tandem mass tag (TMT)-based quantitative proteomics. Materials and Methods: Serum samples were collected from 20 untreated canine lymphomas (14 B-cells and 6 T-cells) and four healthy control dogs. Sera peptides from each sample were processed for TMT 10-plex tagging and analyzed using liquid chromatography-mass spectrometry (MS). Differential proteome profiling was then compared between lymphoma and control. Results: We discovered 20 elevated and 14 decreased serum proteins in the lymphoma group relative to the healthy group. Six candidate increased proteins in canine lymphomas were beta-actin cytoplasmic 1 (ACTB, p=0.04), haptoglobin (p=0.002), beta-2 microglobulin (aaaaaaaa2M, p=0.007), beta-2 glycoprotein 1 (APOH, p=0.03), metalloproteinase inhibitor 1 (TIMP-1, p=0.03), and CD44 antigen (p=0.02). When compared between B- and T-cell lymphomas, B-cell phenotypes had upregulated immunoglobulin (Ig) heavy chain V region GOM (p=0.02), clusterin (p=0.01), apolipoprotein C1 (APOC1, p=0.05), and plasminogen (p=0.02). Conclusion: These findings were investigated quantitative serum proteomes between B- and T-cell lymphomas using TMT-based MS. ACTB, aaaaaaaa2M, APOH, TIMP-1, CD44 antigen, Ig heavy chain V region GOM, and APOC1 are novel candidate proteins and might serve as a lymphoma biomarker in dogs. However, evaluation with an increased sample size is needed to confirm their diagnostic and prognostic ability.
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Affiliation(s)
- Piyanoot Fonghem
- Center of Excellence for Companion Animal Cancer, Department of Veterinary Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Trairak Pisitkun
- Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Kasem Rattanapinyopituk
- Center of Excellence for Companion Animal Cancer, Department of Veterinary Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Sirintra Sirivisoot
- Center of Excellence for Companion Animal Cancer, Department of Veterinary Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Anudep Rungsipipat
- Center of Excellence for Companion Animal Cancer, Department of Veterinary Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
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Abstract
In this editorial, the roles of orosomucoid (ORM) in the diagnoses and follow-up assessments of both nonneoplastic diseases and liver tumors are discussed with respect to the publication by Zhu et al presented in the previous issue of World Journal of Gastroenterology (2020; 26(8): 840-817). ORM, or alpha-1 acid glycoprotein (AGP), is an acute-phase protein that constitutes 1% to 3% of plasma proteins in humans and is mainly synthesized in the liver. ORM exists in serum as two variants: ORM1 and ORM2. Although the variants share 89.6% sequence identity and have similar biological properties, ORM1 constitutes the main component of serum ORM. An interesting feature of ORM is that its biological effects differ according to variations in glycosylation patterns. This variable feature makes ORM an attractive target for diagnosing and monitoring many diseases, including those of the liver. Recent findings suggest that a sharp decrease in ORM level is an important marker for HBV-associated acute liver failure (ALF), and ORM1 plays an important role in liver regeneration. In viral hepatitis, increases in both ORM and its fucosylated forms and the correlation of these increases with fibrosis progression suggest that this glycoprotein can be used with other markers as a noninvasive method in the follow-up assessment of diseases. In addition, similar findings regarding the level of the asialylated form of ORM, called asialo-AGP (AsAGP), have been reported in a follow-up assessment of fibrosis in chronic liver disease. An increase in ORM in serum has also been shown to improve hepatocellular carcinoma (HCC) diagnosis performance when combined with other markers. In addition, determination of the ORM level has been useful in the diagnosis of HCC with AFP concentrations less than 500 ng/mL. For monitoring patients with AFP-negative HCC, a unique trifucosylated tetra-antennary glycan of ORM may also be used as a new potential marker. The fact that there are very few studies investigating the expression of this glycoprotein and its variants in liver tissues constitutes a potential limitation, especially in terms of revealing all the effects of ORM on carcinogenesis and tumor behavior. Current findings indicate that ORM2 expression is decreased in tumors, and this is related to the aggressive course of the disease. Parallel to this finding, in HCC cell lines, ORM2 decreases HCC cell migration and invasion, supporting reports of its tumor suppressor role. In conclusion, the levels of ORM and its different glycosylated variants are promising additional biomarkers for identifying ALF, for monitoring fibrosis in viral hepatitis, and for diagnosing early HCC. Although there is evidence that the loss of ORM2 expression in HCC is associated with poor prognosis, further studies are needed to support these findings. Additionally, investigations of ORM expression in borderline dysplastic nodules and hepatocellular adenomas, which pose diagnostic problems in the differential diagnosis of HCC, especially in biopsy samples, may shed light on whether ORM can be used in histopathological differential diagnosis.
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Affiliation(s)
- Gulsum Ozlem Elpek
- Department of Pathology, Akdeniz University Medical School, Antalya 07070, Turkey
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9
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Fan T, Lu Z, Liu Y, Wang L, Tian H, Zheng Y, Zheng B, Xue L, Tan F, Xue Q, Gao S, Li C, He J. A Novel Immune-Related Seventeen-Gene Signature for Predicting Early Stage Lung Squamous Cell Carcinoma Prognosis. Front Immunol 2021; 12:665407. [PMID: 34177903 PMCID: PMC8226174 DOI: 10.3389/fimmu.2021.665407] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/21/2021] [Indexed: 12/15/2022] Open
Abstract
With the increasingly early stage lung squamous cell carcinoma (LUSC) being discovered, there is an urgent need for a comprehensive analysis of the prognostic characteristics of early stage LUSC. Here, we developed an immune-related gene signature for outcome prediction of early stage LUSC based on three independent cohorts. Differentially expressed genes (DEGs) were identified using CIBERSORT and ESTMATE algorithm. Then, a 17-immune-related gene (RPRM, APOH, SSX1, MSGN1, HPR, ISM2, FGA, LBP, HAS1, CSF2, RETN, CCL2, CCL21, MMP19, PTGIS, F13A1, C1QTNF1) signature was identified using univariate Cox regression, LASSO regression and stepwise multivariable Cox analysis based on the verified DEGs from 401 cases in The Cancer Genome Atlas (TCGA) database. Subsequently, a cohort of GSE74777 containing 107 cases downloaded from Gene Expression Omnibus (GEO) database and an independent data set consisting of 36 frozen tissues collected from National Cancer Center were used to validate the predictive value of the signature. Seventeen immune-related genes were identified from TCGA cohort, which were further used to establish a classification system to construct cases into high- and low-risk groups in terms of overall survival. This classifier was still an independent prognostic factor in multivariate analysis. In addition, another two independent cohorts and different clinical subgroups validated the significant predictive value of the signature. Further mechanism research found early stage LUSC patients with high risk had special immune cell infiltration characteristics and gene mutation profiles. In conclusion, we characterized the tumor microenvironment and established a highly predictive model for evaluating the prognosis of early stage LUSC, which may provide a lead for effective immunotherapeutic options tailored for each subtype.
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Affiliation(s)
- Tao Fan
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.,Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhiliang Lu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liyu Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - He Tian
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yujia Zheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zheng
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liyan Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Xue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chunxiang Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.,Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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10
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Yu Z, Cai G, Liu X, Tang D. Pressure-Based Biosensor Integrated with a Flexible Pressure Sensor and an Electrochromic Device for Visual Detection. Anal Chem 2021; 93:2916-2925. [DOI: 10.1021/acs.analchem.0c04501] [Citation(s) in RCA: 114] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Zhenzhong Yu
- Key Laboratory of Analytical Science for Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou 350108, People’s Republic of China
| | - Guoneng Cai
- Key Laboratory of Analytical Science for Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou 350108, People’s Republic of China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, People’s Republic of China
| | - Dianping Tang
- Key Laboratory of Analytical Science for Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou 350108, People’s Republic of China
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11
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Tryndyak VP, Borowa-Mazgaj B, Steward CR, Beland FA, Pogribny IP. Epigenetic effects of low-level sodium arsenite exposure on human liver HepaRG cells. Arch Toxicol 2020; 94:3993-4005. [PMID: 32844245 DOI: 10.1007/s00204-020-02872-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 08/12/2020] [Indexed: 12/14/2022]
Abstract
Chronic exposure to inorganic arsenic is associated with a variety of adverse health effects, including lung, bladder, kidney, and liver cancer. Several mechanisms have been proposed for arsenic-induced tumorigenesis; however, insufficient knowledge and many unanswered questions remain to explain the integrated molecular pathogenesis of arsenic carcinogenicity. In the present study, using non-tumorigenic human liver HepaRG cells, we investigated epigenetic alterations upon prolonged exposure to a noncytotoxic concentration of sodium arsenite (NaAsO2). We demonstrate that continuous exposure of HepaRG cells to 1 µM sodium arsenite (NaAsO2) for 14 days resulted in substantial cytosine DNA demethylation and hypermethylation across the genome, among which the claudin 14 (CLDN14) gene was hypermethylated and the most down-regulated gene. Another important finding was a profound loss of histone H3 lysine 36 (H3K36) trimethylation, which was accompanied by increased damage to genomic DNA and an elevated de novo mutation frequency. These results demonstrate that continuous exposure of HepaRG cells to a noncytotoxic concentration of NaAsO2 results in substantial epigenetic abnormalities accompanied by several carcinogenesis-related events, including induction of epithelial-to-mesenchymal transition, damage to DNA, inhibition of DNA repair genes, and induction of de novo mutations. Importantly, this study highlights the intimate mechanistic link and interplay between two fundamental cancer-associated events, epigenetic and genetic alterations, in arsenic-associated carcinogenesis.
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Affiliation(s)
- Volodymyr P Tryndyak
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, AR, USA
| | - Barbara Borowa-Mazgaj
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, AR, USA
| | - Colleen R Steward
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, AR, USA
| | - Frederick A Beland
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, AR, USA
| | - Igor P Pogribny
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, AR, USA.
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12
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Li H, Rong Z, Wang H, Zhang N, Pu C, Zhao Y, Zheng X, Lei C, Liu Y, Luo X, Chen J, Wang F, Wang A, Wang J. Proteomic analysis revealed common, unique and systemic signatures in gender-dependent hepatocarcinogenesis. Biol Sex Differ 2020; 11:46. [PMID: 32792008 PMCID: PMC7427087 DOI: 10.1186/s13293-020-00316-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 07/02/2020] [Indexed: 02/08/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common liver cancer and is highly malignant. Male prevalence and frequent activation of the Ras signaling pathway are distinct characteristics of HCC. However, the underlying mechanisms remain to be elucidated. By exploring Hras12V transgenic mice showing male-biased hepatocarcinogenesis, we performed a high-throughput comparative proteomic analysis based on tandem-mass-tag (TMT) labeling combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) on the tissue samples obtained from HCC (T) and their paired adjacent precancerous (P) of Hras12V transgenic male and female mice (Ras-Tg) and normal liver (W) of wild-type male and female mice (Non-Tg). The further validation and investigation were performed using quantitative real-time PCR and western blot. Totally, 5193 proteins were quantified, originating from 5733 identified proteins. Finally, 1344 differentially expressed proteins (DEPs) (quantified in all examined samples; |ratios| ≥ 1.5, p < 0.05) were selected for further analysis. Comparison within W, P, and T of males and females indicated that the number of DEPs in males was much higher than that in females. Bioinformatics analyses showed the common and unique cluster-enriched items between sexes, indicating the common and gender-disparate pathways towards HCC. Expression change pattern analysis revealed HCC positive/negative-correlated and ras oncogene positive/negative-correlated DEPs and pathways. In addition, it showed that the ras oncogene gradually and significantly reduced the responses to sex hormones from hepatocytes to hepatoma cells and therefore shrunk the gender disparity between males and females, which may contribute to the cause of the loss of HCC clinical responses to the therapeutic approaches targeting sex hormone pathways. Additionally, gender disparity in the expression levels of key enzymes involved in retinol metabolism and terpenoid backbone/steroid biosynthesis pathways may contribute to male prevalence in hepatocarcinogenesis. Further, the biomarkers, SAA2, Orm2, and Serpina1e, may be sex differences. In conclusion, common and unique DEPs and pathways toward HCC initiated by ras oncogene from sexually dimorphic hepatocytes provide valuable and novel insights into clinical investigation and practice.
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Affiliation(s)
- Huiling Li
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Zhuona Rong
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China.,Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Biochemistry and Molecular Biology, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Beijing, 100142, China
| | - Hong Wang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Nan Zhang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Chunwen Pu
- Department of Biobank, The Affiliated Sixth People's Hospital of Dalian Medical University, Dalian, 116031, China
| | - Yi Zhao
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Xu Zheng
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Chuanyi Lei
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Yang Liu
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Xiaoqin Luo
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Jun Chen
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Fujin Wang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China.
| | - Aiguo Wang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China.
| | - Jingyu Wang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian, 116044, Liaoning, China.
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13
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Zhao Y, Li Y, Liu W, Xing S, Wang D, Chen J, Sun L, Mu J, Liu W, Xing B, Sun W, He F. Identification of noninvasive diagnostic biomarkers for hepatocellular carcinoma by urinary proteomics. J Proteomics 2020; 225:103780. [DOI: 10.1016/j.jprot.2020.103780] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/02/2020] [Accepted: 04/11/2020] [Indexed: 02/07/2023]
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