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Akh LA, Ishak MO, Harris JF, Glaros TG, Sasiene ZJ, Mach PM, Lilley LM, McBride EM. -Omics potential of in vitro skin models for radiation exposure. Cell Mol Life Sci 2022; 79:390. [PMID: 35776214 PMCID: PMC11073334 DOI: 10.1007/s00018-022-04394-z] [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: 04/07/2022] [Revised: 05/12/2022] [Accepted: 05/24/2022] [Indexed: 11/12/2022]
Abstract
There is a growing need to uncover biomarkers of ionizing radiation exposure that leads to a better understanding of how exposures take place, including dose type, rate, and time since exposure. As one of the first organs to be exposed to external sources of ionizing radiation, skin is uniquely positioned in terms of model systems for radiation exposure study. The simultaneous evolution of both MS-based -omics studies, as well as in vitro 3D skin models, has created the ability to develop a far more holistic understanding of how ionizing radiation affects the many interconnected biomolecular processes that occur in human skin. However, there are a limited number of studies describing the biomolecular consequences of low-dose ionizing radiation to the skin. This review will seek to explore the current state-of-the-art technology in terms of in vitro 3D skin models, as well as track the trajectory of MS-based -omics techniques and their application to ionizing radiation research, specifically, the search for biomarkers within the low-dose range.
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Affiliation(s)
- Leyla A Akh
- Biosecurity and Public Health Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Mohammad O Ishak
- Biosecurity and Public Health Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Jennifer F Harris
- Biosecurity and Public Health Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Trevor G Glaros
- Bioenergy and Biome Sciences Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Zachary J Sasiene
- Bioenergy and Biome Sciences Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Phillip M Mach
- Bioenergy and Biome Sciences Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Laura M Lilley
- Physical Chemistry and Applied Spectroscopy Group, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
| | - Ethan M McBride
- Bioenergy and Biome Sciences Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
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Yi R, Xie L, Wang X, Shen C, Chen X, Qiao L. Multi-Omic Profiling of Multi-Biosamples Reveals the Role of Amino Acid and Nucleotide Metabolism in Endometrial Cancer. Front Oncol 2022; 12:861142. [PMID: 35574395 PMCID: PMC9099206 DOI: 10.3389/fonc.2022.861142] [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: 01/24/2022] [Accepted: 04/01/2022] [Indexed: 11/15/2022] Open
Abstract
Background Endometrial cancer (EC) is one of the most common gynecological cancers. The traditional diagnosis of EC relies on histopathology, which, however, is invasive and may arouse tumor spread. There have been many studies aiming to find the metabolomic biomarkers of EC to improve the early diagnosis of cancer in a non-invasive or minimally invasive way, which can also provide valuable information for understanding the disease. However, most of these studies only analyze a single type of sample by metabolomics, and cannot provide a comprehensive view of the altered metabolism in EC patients. Our study tries to gain a pathway-based view of multiple types of samples for understanding metabolomic disorders in EC by combining metabolomics and proteomics. Methods Forty-four EC patients and forty-three controls were recruited for the research. We collected endometrial tissue, urine, and intrauterine brushing samples. Untargeted metabolomics and untargeted proteomics were both performed on the endometrial tissue samples, while only untargeted metabolomics was performed on the urine and intrauterine brushing samples. Results By integrating the differential metabolites and proteins between EC patients and controls detected in the endometrial tissue samples, we identified several EC-related significant pathways, such as amino acid metabolism and nucleotide metabolism. The significance of these pathways and the potential of metabolite biomarker-based diagnosis were then further verified by using urine and intrauterine brushing samples. It was found that the regulation of metabolites involved in the significant pathways showed similar trends in the intrauterine brushings and the endometrial tissue samples, while opposite trends in the urine and the endometrial tissue samples. Conclusions With multi-omics characterization of multi-biosamples, the metabolomic changes related to EC are illustrated in a pathway-based way. The network of altered metabolites and related proteins provides a comprehensive view of altered metabolism in the endometrial tissue samples. The verification of these critical pathways by using urine and intrauterine brushing samples provides evidence for the possible non-invasive or minimally invasive biopsy for EC diagnosis in the future.
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Affiliation(s)
- Runqiu Yi
- Department of Chemistry, Shanghai Stomatological Hospital, and Obstetrics and Gynecology Hospital of Fudan University, Fudan University, Shanghai, China
| | - Liying Xie
- Department of Chemistry, Shanghai Stomatological Hospital, and Obstetrics and Gynecology Hospital of Fudan University, Fudan University, Shanghai, China
| | | | | | - Xiaojun Chen
- Department of Chemistry, Shanghai Stomatological Hospital, and Obstetrics and Gynecology Hospital of Fudan University, Fudan University, Shanghai, China
- *Correspondence: Liang Qiao, ; Xiaojun Chen,
| | - Liang Qiao
- Department of Chemistry, Shanghai Stomatological Hospital, and Obstetrics and Gynecology Hospital of Fudan University, Fudan University, Shanghai, China
- *Correspondence: Liang Qiao, ; Xiaojun Chen,
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Lapierre A, Gourgou S, Brengues M, Quéro L, Deutsch É, Milliat F, Riou O, Azria D. Tumour and normal tissue radiosensitivity. Cancer Radiother 2021; 26:96-103. [PMID: 34953704 DOI: 10.1016/j.canrad.2021.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The place of personalized treatments is highly increasing in medical and radiation oncology. During the last decades, a huge number of assays have been developed to predict responses of normal tissues and tumours. These tests have not yet been included into daily clinical practice but the recent developments of radiation oncology are paving the way of personalized strategies including the risk of tumour recurrence and normal tissue reactions. Concerning tumor radiosensitivity prediction, no test are currently used, even if the radiosensitivity index and the genome-based model for adjusting radiotherapy dose assays seem the most promising with level II of evidence. Commercial developments are under progress. Concerning normal tissue radiosensitivity prediction, single nucleotide polymorphims of prostate cancer patients and radiation-induced CD8 T-lymphocyte apoptosis breast and prostate assays are of level I of evidence. They can be proposed before the beginning of radiotherapy in order to propose personalized treatments according to both risks of tumour and normal tissue radiosensitivity. Commercial developments are also under way.
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Affiliation(s)
- A Lapierre
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Département de radiothérapie oncologie, centre hospitalier universitaire Lyon Sud, 165, chemin du Grand-Revoyet, 69495 Pierre-Bénite, France; Université de Lyon, 69000 Lyon, France
| | - S Gourgou
- Unité de biométrie, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France
| | - M Brengues
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Fédération universitaire d'oncologie radiothérapie d'Occitanie Méditerranée, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France
| | - L Quéro
- Service de cancérologie-radiothérapie, hôpital Saint-Louis, 1, avenue Claude-Vellefeaux, 75475 Paris, France
| | - É Deutsch
- Département de radiothérapie, Gustave-Roussy Cancer Campus, 114, rue Édouard-Vaillant, 94800 Villejuif, France
| | - F Milliat
- Laboratoire de radiobiologie des expositions médicales, Institut de radioprotection et de sûreté nucléaire (IRSN), 31, avenue de la Division-Leclerc, 92260 Fontenay-aux-Roses, France
| | - O Riou
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Fédération universitaire d'oncologie radiothérapie d'Occitanie Méditerranée, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France
| | - D Azria
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Fédération universitaire d'oncologie radiothérapie d'Occitanie Méditerranée, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France.
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Madeira C, Costa PM. Proteomics in systems toxicology. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2021; 127:55-91. [PMID: 34340774 DOI: 10.1016/bs.apcsb.2021.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Proteins are the ultimate product of gene expression. As they hinge between gene transcription and phenotype, they offer a more realistic perspective of toxicopathic effects, responses and even susceptibility to insult than targeting genes and mRNAs while dodging some inter-individual variability that hinders measuring downstream endpoints like metabolites or enzyme activity. Toxicologists have long focused on proteins as biomarkers but the advent of proteomics shifted risk assessment from narrow single-endpoint analyses to whole-proteome screening, enabling deriving protein-centric adverse outcome pathways (AOPs), which are pivotal for the derivation of Systems Biology informally named Systems Toxicology. Especially if coupled pathology, the identification of molecular initiating events (MIEs) and AOPs allow predictive modeling of toxicological pathways, which now stands as the frontier for the next generation of toxicologists. Advances in mass spectrometry, bioinformatics, protein databases and top-down proteomics create new opportunities for mechanistic and effects-oriented research in all fields, from ecotoxicology to pharmacotoxicology.
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Affiliation(s)
- Carolina Madeira
- UCIBIO-Applied Molecular Biosciences Unit, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Caparica, Portugal
| | - Pedro M Costa
- UCIBIO-Applied Molecular Biosciences Unit, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Caparica, Portugal.
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Subedi P, Gomolka M, Moertl S, Dietz A. Ionizing Radiation Protein Biomarkers in Normal Tissue and Their Correlation to Radiosensitivity: A Systematic Review. J Pers Med 2021; 11:jpm11020140. [PMID: 33669522 PMCID: PMC7922485 DOI: 10.3390/jpm11020140] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/05/2021] [Accepted: 02/14/2021] [Indexed: 12/16/2022] Open
Abstract
Background and objectives: Exposure to ionizing radiation (IR) has increased immensely over the past years, owing to diagnostic and therapeutic reasons. However, certain radiosensitive individuals show toxic enhanced reaction to IR, and it is necessary to specifically protect them from unwanted exposure. Although predicting radiosensitivity is the way forward in the field of personalised medicine, there is limited information on the potential biomarkers. The aim of this systematic review is to identify evidence from a range of literature in order to present the status quo of our knowledge of IR-induced changes in protein expression in normal tissues, which can be correlated to radiosensitivity. Methods: Studies were searched in NCBI Pubmed and in ISI Web of Science databases and field experts were consulted for relevant studies. Primary peer-reviewed studies in English language within the time-frame of 2011 to 2020 were considered. Human non-tumour tissues and human-derived non-tumour model systems that have been exposed to IR were considered if they reported changes in protein levels, which could be correlated to radiosensitivity. At least two reviewers screened the titles, keywords, and abstracts of the studies against the eligibility criteria at the first phase and full texts of potential studies at the second phase. Similarly, at least two reviewers manually extracted the data and accessed the risk of bias (National Toxicology Program/Office for Health Assessment and Translation—NTP/OHAT) for the included studies. Finally, the data were synthesised narratively in accordance to synthesis without meta analyses (SWiM) method. Results: In total, 28 studies were included in this review. Most of the records (16) demonstrated increased residual DNA damage in radiosensitive individuals compared to normo-sensitive individuals based on γH2AX and TP53BP1. Overall, 15 studies included proteins other than DNA repair foci, of which five proteins were selected, Vascular endothelial growth factor (VEGF), Caspase 3, p16INK4A (Cyclin-dependent kinase inhibitor 2A, CDKN2A), Interleukin-6, and Interleukin-1β, that were connected to radiosensitivity in normal tissue and were reported at least in two independent studies. Conclusions and implication of key findings: A majority of studies used repair foci as a tool to predict radiosensitivity. However, its correlation to outcome parameters such as repair deficient cell lines and patients, as well as an association to moderate and severe clinical radiation reactions, still remain contradictory. When IR-induced proteins reported in at least two studies were considered, a protein network was discovered, which provides a direction for further studies to elucidate the mechanisms of radiosensitivity. Although the identification of only a few of the commonly reported proteins might raise a concern, this could be because (i) our eligibility criteria were strict and (ii) radiosensitivity is influenced by multiple factors. Registration: PROSPERO (CRD42020220064).
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Shukla SK, Sharma AK, Bajaj S, Yashavarddhan MH. Radiation proteome: a clue to protection, carcinogenesis, and drug development. Drug Discov Today 2020; 26:525-531. [PMID: 33137481 DOI: 10.1016/j.drudis.2020.10.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 09/29/2020] [Accepted: 10/26/2020] [Indexed: 02/04/2023]
Affiliation(s)
- Sandeep Kumar Shukla
- Institute of Nuclear Medicine and Allied Sciences, Defence Research and Development Organization, Lucknow road, Timarpur, Delhi, 110054, India.
| | - Ajay Kumar Sharma
- Institute of Nuclear Medicine and Allied Sciences, Defence Research and Development Organization, Lucknow road, Timarpur, Delhi, 110054, India
| | - Sania Bajaj
- Institute of Nuclear Medicine and Allied Sciences, Defence Research and Development Organization, Lucknow road, Timarpur, Delhi, 110054, India
| | - M H Yashavarddhan
- Defence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Lucknow road, Timarpur, Delhi, 110054, India
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Yan Y, Yuan X, Xue C, He Y. Human coilin interacting nuclear ATPase protein in cancer: uncovering new insights into pathogenesis and therapy. Am J Transl Res 2020; 12:4051-4058. [PMID: 32774758 PMCID: PMC7407739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/13/2020] [Indexed: 06/11/2023]
Abstract
A deeper understanding of tumor pathogenesis has revolutionized cancer treatment strategies. The discovery of human coilin interacting nuclear ATPase protein (hCINAP) and increasing experimental research over the past 15 years have provided us with new insights into the diagnoses, prognoses, and therapeutic approaches of cancer. In the current review, hCINAP's effect on tumor growth, cell viability, invasion, metastasis, and drug resistance is summarized. In addition, an overview is given of the underlying mechanisms involved, including regulation of signaling pathways, ribosome biogenesis, metabolism, as well as DNA damage repair. Finally, hCINAP-based therapeutic approaches are examined, with the goal of improving efficacy of cancer treatments. This review can, therefore, serve as a reference for further hCINAP-related research and clinical trials, and we advocate those approaches to be initiated without delay.
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Affiliation(s)
- Yuheng Yan
- Department of Hepatobiliary and Pancreatic SurgeryHenan, P. R. China
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan ProvinceHenan, P. R. China
| | - Xin Yuan
- Department of Infectious Diseases, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052, Henan, P. R. China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052, Henan, P. R. China
| | - Chen Xue
- Department of Infectious Diseases, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052, Henan, P. R. China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052, Henan, P. R. China
| | - Yuting He
- Department of Hepatobiliary and Pancreatic SurgeryHenan, P. R. China
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan ProvinceHenan, P. R. China
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Jeong S, Park MJ, Song W, Kim HS. Current immunoassay methods and their applications to clinically used biomarkers of breast cancer. Clin Biochem 2020; 78:43-57. [PMID: 32007438 DOI: 10.1016/j.clinbiochem.2020.01.009] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 12/13/2019] [Accepted: 01/29/2020] [Indexed: 12/21/2022]
Abstract
Breast cancer is the leading cause of cancer-related mortality worldwide, with a higher incidence in developed countries. The biomarkers for breast cancer such as estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, CA (cancer antigen) 15-3, CA 27.29, and carcinoembryonic antigen have been recommended for use in the laboratory based on the guidelines of American and European societies. Immunoassays have been frequently and consistently used to detect these clinically established biomarkers of breast cancer. Despite the higher accessibility of serum biomarkers, including CA 15-3, CA 27.29, and CEA, compared to tissue markers, variations in immunoassays affect their standardization and clinical utility. When reviewing the immunoassays used to detect these serum markers, we found that the most frequently used immunoassay was enzyme-linked immunosorbent assay, followed by electrochemiluminescent immunoassay, and then chemiluminescence immunoassay for CA 15-3 and CEA. Meanwhile, the chemiluminescence immunoassay was the most common technique for CA27.29. The electrochemiluminescent immunoassay and monoclonal fluorometric assay have become the preferred methods in 2010-2019 compared to 2000-2009. Analytical and clinical performance factors such as sensitivity, specificity, detection limit, hazard risk to laboratory personnel, speed, and economic feasibility influenced these changes in user preference. When using the immunoassays, there should be a comprehensive understanding of the principles, advantages, vulnerability, and precautions for interpretation. In the future, a combination of immunological biomarkers and genetic platforms will benefit patients with breast cancer by facilitating prognosis prediction and guiding therapeutic intervention.
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Affiliation(s)
- Seri Jeong
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 1 Singil-ro, Yeongdeungpo-gu, Seoul 07440, South Korea.
| | - Min-Jeong Park
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 1 Singil-ro, Yeongdeungpo-gu, Seoul 07440, South Korea.
| | - Wonkeun Song
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 1 Singil-ro, Yeongdeungpo-gu, Seoul 07440, South Korea.
| | - Hyon-Suk Kim
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea.
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