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Belousov PV. The Autoantibodies against Tumor-Associated Antigens as Potential Blood-Based Biomarkers in Thyroid Neoplasia: Rationales, Opportunities and Challenges. Biomedicines 2022; 10:biomedicines10020468. [PMID: 35203677 PMCID: PMC8962333 DOI: 10.3390/biomedicines10020468] [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: 12/28/2021] [Revised: 02/06/2022] [Accepted: 02/07/2022] [Indexed: 11/24/2022] Open
Abstract
The Autoantibodies targeting Tumor-Associated Antigens (TAA-AAbs) emerge as a result of a variety of tumor-related immunogenic stimuli and may be regarded as the eyewitnesses to the anti-tumor immune response. TAA-AAbs may be readily detected in peripheral blood to unveil the presence of a particular TAA-expressing tumor, and a fair number of TAAs eliciting the tumor-associated autoantibody response have been identified. The potential of TAA-AAbs as tumor biomarkers has been extensively studied in many human malignancies with a major influence on public health; however, tumors of the endocrine system, and, in particular, the well-differentiated follicular cell-derived thyroid neoplasms, remain understudied in this context. This review provides a detailed perspective on and legitimate rationales for the potential use of TAA-AAbs in thyroid neoplasia, with particular reference to the already established diagnostic implications of the TAA-AAbs in human cancer, to the windows for improvement and diagnostic niches in the current workup strategies in nodular thyroid disease and differentiated thyroid cancer that TAA-AAbs may successfully occupy, as well as to the proof-of-concept studies demonstrating the usefulness of TAA-AAbs in thyroid oncology, particularly for the pre-surgical discrimination between tumors of different malignant potential in the context of the indeterminate results of the fine-needle aspiration cytology.
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Affiliation(s)
- Pavel V. Belousov
- National Center for Personalized Medicine of Endocrine Diseases, National Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, 117036 Moscow, Russia; or
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
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Li W, Liu J, Zhao H. Prognostic Power of a Chaperonin Containing TCP-1 Subunit Genes Panel for Hepatocellular Carcinoma. Front Genet 2021; 12:668871. [PMID: 33897772 PMCID: PMC8061729 DOI: 10.3389/fgene.2021.668871] [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: 02/17/2021] [Accepted: 03/15/2021] [Indexed: 02/05/2023] Open
Abstract
Chaperonin containing TCP-1 (T-complex protein 1) (CCT) is a large molecular weight complex that contains nine subunits (TCP1, CCT2, CCT3, CCT4, CCT5, CCT6A, CCT6B, CCT7, CCT8). This study aimed to reveal key genes which encode CCT subunits for prognosis and establish prognostic gene signatures based on CCT subunit genes. The data was downloaded from The Cancer Genome Atlas, International Cancer Genome Consortium and Gene Expression Omnibus. CCT subunit gene expression levels between tumor and normal tissues were compared. Corresponding Kaplan-Meier analysis displayed a distinct separation in the overall survival of CCT subunit genes. Correlation analysis, protein-protein interaction network, Gene Ontology analysis, immune cells infiltration analysis, and transcription factor network were performed. A nomogram was constructed for the prediction of prognosis. Based on multivariate Cox regression analysis and shrinkage and selection method for linear regression model, a three-gene signature comprising CCT4, CCT6A, and CCT6B was constructed in the training set and significantly associated with prognosis as an independent prognostic factor. The prognostic value of the signature was then validated in the validation and testing set. Nomogram including the signature showed some clinical benefit for overall survival prediction. In all, we built a novel three-gene signature and nomogram from CCT subunit genes to predict the prognosis of hepatocellular carcinoma, which may support the medical decision for HCC therapy.
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Affiliation(s)
- Wenli Li
- Reproductive Medicine Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, China
| | - Jun Liu
- Reproductive Medicine Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, China
| | - Hetong Zhao
- Department of Traditional Chinese Medicine, Changhai Hospital, Naval Military Medical University, Shanghai, China
- *Correspondence: Hetong Zhao
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Belousov PV, Afanasyeva MA, Gubernatorova EO, Bogolyubova AV, Uvarova AN, Putlyaeva LV, Ramanauskaite EM, Kopylov AT, Demin DE, Tatosyan KA, Ustiugova AS, Prokofjeva MM, Lanshchakov KV, Vanushko VE, Zaretsky AR, Severskaia NV, Dvinskikh NY, Abrosimov AY, Kuprash DV, Schwartz AM. Multi-dimensional immunoproteomics coupled with in vitro recapitulation of oncogenic NRAS Q61R identifies diagnostically relevant autoantibody biomarkers in thyroid neoplasia. Cancer Lett 2019; 467:96-106. [PMID: 31326556 DOI: 10.1016/j.canlet.2019.07.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Revised: 07/15/2019] [Accepted: 07/16/2019] [Indexed: 01/08/2023]
Abstract
Tumor-associated antigen (TAA)-specific autoantibodies have been widely implicated in cancer diagnosis. However, cancer cell lines that are typically exploited as candidate TAA sources in immunoproteomic studies may fail to accurately represent the autoantigen-ome of lower-grade neoplasms. Here, we established an integrated strategy for the identification of disease-relevant TAAs in thyroid neoplasia, which combined NRASQ61R oncogene expression in non-tumorous thyroid Nthy-ori 3-1 cells with a multi-dimensional proteomic technique DISER that consisted of profiling NRASQ61R-induced proteins using 2-dimensional difference gel electrophoresis (2D-DIGE) coupled with serological proteome analysis (SERPA) of the TAA repertoire of patients with thyroid encapsulated follicular-patterned/RAS-like phenotype (EFP/RLP) tumors. We identified several candidate cell-based (nicotinamide phosphoribosyltransferase NAMPT, glutamate dehydrogenase GLUD1, and glutathione S-transferase omega-1 GSTO1) and autoantibody (fumarate hydratase FH, calponin-3 CNN3, and pyruvate kinase PKM autoantibodies) biomarkers, including NRASQ61R-induced TAA phosphoglycerate kinase 1 PGK1. Meta-profiling of the reactivity of the identified autoantibodies across an independent SERPA series implicated the PKM autoantibody as a histological phenotype-independent biomarker of thyroid malignancy (11/38 (29%) patients with overtly malignant and uncertain malignant potential (UMP) tumors vs 0/22 (p = 0.0046) and 0/20 (p = 0.011) patients with non-invasive EFP/RLP tumors and healthy controls, respectively). PGK1 and CNN3 autoantibodies were identified as EFP/RLP-specific biomarkers, potentially suitable for further discriminating tumors with different malignant potential (PGK1: 7/22 (32%) patients with non-invasive EFP/RLP tumors vs 0/38 (p = 0.00044) and 0/20 (p = 0.0092) patients with other tumors and healthy controls, respectively; СNN3: 9/29 (31%) patients with malignant and borderline EFP/RLP tumors vs 0/31 (p = 0.00068) and 0/20 (p = 0.0067) patients with other tumors and healthy controls, respectively). The combined use of PKM, CNN3, and PGK1 autoantibodies allowed the reclassification of malignant/UMP tumor risk in 19/41 (46%) of EFP/RLP tumor patients. Taken together, we established an experimental pipeline DISER for the concurrent identification of cell-based and TAA biomarkers. The combination of DISER with in vitro oncogene expression allows further targeted identification of oncogene-induced TAAs. Using this integrated approach, we identified candidate autoantibody biomarkers that might be of value for differential diagnostic purposes in thyroid neoplasia.
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Affiliation(s)
- Pavel V Belousov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
| | - Marina A Afanasyeva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Ekaterina O Gubernatorova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Biological Faculty, Lomonosov Moscow State University, Moscow, Russia
| | - Apollinariya V Bogolyubova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Center for Genetics and Life Sciences, Educational Center «Sirius», Sochi, Russia
| | - Aksinya N Uvarova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Lidia V Putlyaeva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
| | | | | | - Denis E Demin
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Moscow Institute of Physics and Technology, Moscow, Russia
| | - Karina A Tatosyan
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Alina S Ustiugova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Biological Faculty, Lomonosov Moscow State University, Moscow, Russia
| | - Maria M Prokofjeva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Kirill V Lanshchakov
- National Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia; Central Clinical Hospital of the Presidential Administration of the Russian Federation, Moscow, Russia
| | - Vladimir E Vanushko
- National Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Andrew R Zaretsky
- Shemyakin-Ovchinnikov Research Institute for Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia; Evrogen Lab LLC, Moscow, Russia
| | - Natalya V Severskaia
- Tsyb Medical Radiological Research Center, Ministry of Health of the Russian Federation, Obninsk, Russia
| | - Nina Y Dvinskikh
- Tsyb Medical Radiological Research Center, Ministry of Health of the Russian Federation, Obninsk, Russia
| | - Alexander Y Abrosimov
- National Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia; National University of Science & Technology «MISIS», Moscow, Russia
| | - Dmitry V Kuprash
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Biological Faculty, Lomonosov Moscow State University, Moscow, Russia
| | - Anton M Schwartz
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
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