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Cela I, Capone E, Trevisi G, Sala G. Extracellular vesicles in glioblastoma: Biomarkers and therapeutic tools. Semin Cancer Biol 2024; 101:25-43. [PMID: 38754752 DOI: 10.1016/j.semcancer.2024.04.003] [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: 12/01/2023] [Revised: 03/19/2024] [Accepted: 04/30/2024] [Indexed: 05/18/2024]
Abstract
Glioblastoma (GBM) is the most aggressive tumor among the gliomas and intracranial tumors and to date prognosis for GBM patients remains poor, with a median survival typically measured in months to a few years depending on various factors. Although standardized therapies are routinely employed, it is clear that these strategies are unable to cope with heterogeneity and invasiveness of GBM. Furthermore, diagnosis and monitoring of responses to therapies are directly dependent on tissue biopsies or magnetic resonance imaging (MRI) techniques. From this point of view, liquid biopsies are arising as key sources of a variety of biomarkers with the advantage of being easily accessible and monitorable. In this context, extracellular vesicles (EVs), physiologically shed into body fluids by virtually all cells, are gaining increasing interest both as natural carriers of biomarkers and as specific signatures even for GBM. What makes these vesicles particularly attractive is they are also emerging as therapeutical vehicles to treat GBM given their native ability to cross the blood-brain barrier (BBB). Here, we reviewed recent advances on the use of EVs as biomarker for liquid biopsy and nanocarriers for targeted delivery of anticancer drugs in glioblastoma.
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Affiliation(s)
- Ilaria Cela
- Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy; Center for Advanced Studies and Technology (CAST), University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Emily Capone
- Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy; Center for Advanced Studies and Technology (CAST), University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Gianluca Trevisi
- Department of Neurosciences, Imaging and Clinical Sciences, "G. D'Annunzio" University, Chieti, Italy; Neurosurgical Unit, Santo Spirito Hospital, Pescara 65121, Italy
| | - Gianluca Sala
- Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy; Center for Advanced Studies and Technology (CAST), University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy.
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Pokorná M, Kútna V, Ovsepian SV, Matěj R, Černá M, O’Leary VB. Biomolecules to Biomarkers? U87MG Marker Evaluation on the Path towards Glioblastoma Multiforme Pathogenesis. Pharmaceutics 2024; 16:123. [PMID: 38258133 PMCID: PMC10818292 DOI: 10.3390/pharmaceutics16010123] [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: 12/07/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
The heterogeneity of the glioma subtype glioblastoma multiforme (GBM) challenges effective neuropathological treatment. The reliance on in vitro studies and xenografted animal models to simulate human GBM has proven ineffective. Currently, a dearth of knowledge exists regarding the applicability of cell line biomolecules to the realm of GBM pathogenesis. Our study's objectives were to address this preclinical issue and assess prominin-1, ICAM-1, PARTICLE and GAS5 as potential GBM diagnostic targets. The methodologies included haemoxylin and eosin staining, immunofluorescence, in situ hybridization and quantitative PCR. The findings identified that morphology correlates with malignancy in GBM patient pathology. Immunofluorescence confocal microscopy revealed prominin-1 in pseudo-palisades adjacent to necrotic foci in both animal and human GBM. Evidence is presented for an ICAM-1 association with degenerating vasculature. Significantly elevated nuclear PARTICLE expression from in situ hybridization and quantitative PCR reflected its role as a tumor activator. GAS5 identified within necrotic GBM validated this potential prognostic biomolecule with extended survival. Here we present evidence for the stem cell marker prominin-1 and the chemotherapeutic target ICAM-1 in a glioma animal model and GBM pathology sections from patients that elicited alternative responses to adjuvant chemotherapy. This foremost study introduces the long non-coding RNA PARTICLE into the context of human GBM pathogenesis while substantiating the role of GAS5 as a tumor suppressor. The validation of GBM biomarkers from cellular models contributes to the advancement towards superior detection, therapeutic responders and the ultimate attainment of promising prognoses for this currently incurable brain cancer.
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Affiliation(s)
- Markéta Pokorná
- Department of Medical Genetics, Third Faculty of Medicine, Charles University, Ruská 87, Vinohrady, 10000 Prague, Czech Republic; (M.P.); (M.Č.)
| | - Viera Kútna
- Department of Experimental Neurobiology, National Institute of Mental Health, Topolová 748, 25067 Klecany, Czech Republic;
| | - Saak V. Ovsepian
- Faculty of Engineering and Science, University of Greenwich London, Chatham Maritime, Kent ME4 4TB, UK;
| | - Radoslav Matěj
- Department of Pathology, Third Faculty of Medicine, Charles University, Ruská 87, Vinohrady, 10000 Prague, Czech Republic;
- Department of Pathology, University Hospital Královské Vinohrady, Šrobárova 50, Vinohrady, 10000 Prague, Czech Republic
| | - Marie Černá
- Department of Medical Genetics, Third Faculty of Medicine, Charles University, Ruská 87, Vinohrady, 10000 Prague, Czech Republic; (M.P.); (M.Č.)
| | - Valerie Bríd O’Leary
- Department of Medical Genetics, Third Faculty of Medicine, Charles University, Ruská 87, Vinohrady, 10000 Prague, Czech Republic; (M.P.); (M.Č.)
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Du Y, Pollok KE, Shen J. Unlocking Glioblastoma Secrets: Natural Killer Cell Therapy against Cancer Stem Cells. Cancers (Basel) 2023; 15:5836. [PMID: 38136381 PMCID: PMC10741423 DOI: 10.3390/cancers15245836] [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: 10/21/2023] [Revised: 11/27/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Glioblastoma (GBM) represents a paramount challenge as the most formidable primary brain tumor characterized by its rapid growth, aggressive invasiveness, and remarkable heterogeneity, collectively impeding effective therapeutic interventions. The cancer stem cells within GBM, GBM stem cells (GSCs), hold pivotal significance in fueling tumor advancement, therapeutic refractoriness, and relapse. Given their unique attributes encompassing self-renewal, multipotent differentiation potential, and intricate interplay with the tumor microenvironment, targeting GSCs emerges as a critical strategy for innovative GBM treatments. Natural killer (NK) cells, innate immune effectors recognized for their capacity to selectively detect and eliminate malignancies without the need for prior sensitization, offer substantial therapeutic potential. Harnessing the inherent capabilities of NK cells can not only directly engage tumor cells but also augment broader immune responses. Encouraging outcomes from clinical investigations underscore NK cells as a potentially effective modality for cancer therapy. Consequently, NK cell-based approaches hold promise for effectively targeting GSCs, thereby presenting an avenue to enhance treatment outcomes for GBM patients. This review outlines GBM's intricate landscape, therapeutic challenges, GSC-related dynamics, and elucidates the potential of NK cell as an immunotherapeutic strategy directed towards GSCs.
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Affiliation(s)
- Yuanning Du
- Medical Sciences Program, Indiana University School of Medicine, Bloomington, IN 47405, USA;
| | - Karen E. Pollok
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
| | - Jia Shen
- Medical Sciences Program, Indiana University School of Medicine, Bloomington, IN 47405, USA;
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
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Isachesku E, Braicu C, Pirlog R, Kocijancic A, Busuioc C, Pruteanu LL, Pandey DP, Berindan-Neagoe I. The Role of Non-Coding RNAs in Epigenetic Dysregulation in Glioblastoma Development. Int J Mol Sci 2023; 24:16320. [PMID: 38003512 PMCID: PMC10671451 DOI: 10.3390/ijms242216320] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/04/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
Glioblastoma (GBM) is a primary brain tumor arising from glial cells. The tumor is highly aggressive, the reason for which it has become the deadliest brain tumor type with the poorest prognosis. Like other cancers, it compromises molecular alteration on genetic and epigenetic levels. Epigenetics refers to changes in gene expression or cellular phenotype without the occurrence of any genetic mutations or DNA sequence alterations in the driver tumor-related genes. These epigenetic changes are reversible, making them convenient targets in cancer therapy. Therefore, we aim to review critical epigenetic dysregulation processes in glioblastoma. We will highlight the significant affected tumor-related pathways and their outcomes, such as regulation of cell cycle progression, cell growth, apoptosis, angiogenesis, cell invasiveness, immune evasion, or acquirement of drug resistance. Examples of molecular changes induced by epigenetic modifications, such as DNA epigenetic alterations, histone post-translational modifications (PTMs), and non-coding RNA (ncRNA) regulation, are highlighted. As understanding the role of epigenetic regulators and underlying molecular mechanisms in the overall pro-tumorigenic landscape of glioblastoma is essential, this literature study will provide valuable insights for establishing the prognostic or diagnostic value of various non-coding transcripts, including miRNAs.
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Affiliation(s)
- Ekaterina Isachesku
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania (C.B.); (R.P.); (L.-L.P.)
| | - Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania (C.B.); (R.P.); (L.-L.P.)
| | - Radu Pirlog
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania (C.B.); (R.P.); (L.-L.P.)
| | - Anja Kocijancic
- Department of Microbiology, Oslo University Hospital, 0424 Oslo, Norway; (A.K.)
| | - Constantin Busuioc
- Department of Pathology, National Institute of Infectious Disease, 021105 Bucharest, Romania;
- Department of Pathology, Onco Team Diagnostic, 010719 Bucharest, Romania
| | - Lavinia-Lorena Pruteanu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania (C.B.); (R.P.); (L.-L.P.)
- Department of Chemistry and Biology, North University Center, Technical University of Cluj-Napoca, 430122 Baia Mare, Romania
| | - Deo Prakash Pandey
- Department of Microbiology, Oslo University Hospital, 0424 Oslo, Norway; (A.K.)
| | - Ioana Berindan-Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania (C.B.); (R.P.); (L.-L.P.)
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Robinson SD, Samuels M, Jones W, Gilbert D, Critchley G, Giamas G. Shooting the messenger: a systematic review investigating extracellular vesicle isolation and characterisation methods and their influence on understanding extracellular vesicles-radiotherapy interactions in glioblastoma. BMC Cancer 2023; 23:939. [PMID: 37798728 PMCID: PMC10552223 DOI: 10.1186/s12885-023-11437-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/22/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Extracellular vesicles (EVs) hold promise for improving our understanding of radiotherapy response in glioblastoma due to their role in intercellular communication within the tumour microenvironment (TME). However, methodologies to study EVs are evolving with significant variation within the EV research community. METHODS We conducted a systematic review to critically appraise EV isolation and characterisation methodologies and how this influences our understanding of the findings from studies investigating radiotherapy and EV interactions in glioblastoma. 246 articles published up to 24/07/2023 from PubMed and Web of Science were identified using search parameters related to radiotherapy, EVs, and glioblastoma. Two reviewers evaluated study eligibility and abstracted data. RESULTS In 26 articles eligible for inclusion (16 investigating the effects of radiotherapy on EVs, five investigating the effect of EVs on radiation response, and five clinical studies), significant heterogeneity and frequent omission of key characterisation steps was identified, reducing confidence that the results are related to EVs and their cargo as opposed to co-isolated bioactive molecules. However, the results are able to clearly identify interactions between EVs and radiotherapy bi-directionally within different cell types within the glioblastoma TME. These interactions facilitate transferable radioresistance and oncogenic signalling, highlighting that EVs are an important component in the variability of glioblastoma radiotherapy response. CONCLUSIONS Future multi-directional investigations interrogating the whole TME are required to improve subsequent clinical translation, and all studies should incorporate up to date controls and reporting requirements to increase the validity of their findings. This would be facilitated by increased collaboration between less experienced and more experienced EV research groups.
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Affiliation(s)
- Stephen David Robinson
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG).
- Sussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, UK, (SDR, DG).
| | - Mark Samuels
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG)
| | - William Jones
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG)
| | - Duncan Gilbert
- Sussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, UK, (SDR, DG)
- Medical Research Council Clinical Trials Unit, University College London, London, UK, (DG)
| | - Giles Critchley
- Department of Neurosurgery, University Hospitals Sussex NHS Foundation Trust, Brighton, UK, (GC)
| | - Georgios Giamas
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG)
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Yang Z, Qi Y, Wang Y, Chen X, Wang Y, Zhang X. Identifying Network Biomarkers in Early Diagnosis of Hepatocellular Carcinoma via miRNA-Gene Interaction Network Analysis. Curr Issues Mol Biol 2023; 45:7374-7387. [PMID: 37754250 PMCID: PMC10529263 DOI: 10.3390/cimb45090466] [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: 07/04/2023] [Revised: 08/26/2023] [Accepted: 09/07/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer at the histological level. Despite the emergence of new biological technology, advanced-stage HCC remains largely incurable. The prediction of a cancer biomarker is a key problem for targeted therapy in the disease. METHODS We performed a miRNA-gene integrated analysis to identify differentially expressed miRNAs (DEMs) and genes (DEGs) of HCC. The DEM-DEG interaction network was constructed and analyzed. Gene ontology enrichment and survival analyses were also performed in this study. RESULTS By the analysis of healthy and tumor samples, we found that 94 DEGs and 25 DEMs were significantly differentially expressed in different datasets. Gene ontology enrichment analysis showed that these 94 DEGs were significantly enriched in the term "Liver" with a statistical p-value of 1.71 × 10-26. Function enrichment analysis indicated that these genes were significantly overrepresented in the term "monocarboxylic acid metabolic process" with a p-value = 2.94 × 10-18. Two sets (fourteen genes and five miRNAs) were screened by a miRNA-gene integrated analysis of their interaction network. The statistical analysis of these molecules showed that five genes (CLEC4G, GLS2, H2AFZ, STMN1, TUBA1B) and two miRNAs (hsa-miR-326 and has-miR-331-5p) have significant effects on the survival prognosis of patients. CONCLUSION We believe that our study could provide critical clinical biomarkers for the targeted therapy of HCC.
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Affiliation(s)
- Zhiyuan Yang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China (X.Z.)
| | - Yuanyuan Qi
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China (X.Z.)
| | - Yijing Wang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China (X.Z.)
| | - Xiangyun Chen
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China (X.Z.)
| | - Yuerong Wang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China (X.Z.)
| | - Xiaoli Zhang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China (X.Z.)
- School of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, China
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Xu J, Li J, Li Y, Shi X, Zhu H, Chen L. Multidimensional Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis. Biomolecules 2023; 13:1329. [PMID: 37759729 PMCID: PMC10526551 DOI: 10.3390/biom13091329] [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: 04/29/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
Sepsis-associated acute kidney injury (SA-AKI) is a severe and life-threatening condition with high morbidity and mortality among emergency patients, and it poses a significant risk of chronic renal failure. Clinical treatments for SA-AKI remain reactive and non-specific, lacking effective diagnostic biomarkers or treatment targets. In this study, we established an SA-AKI mouse model using lipopolysaccharide (LPS) and performed proteomics and metabolomics analyses. A variety of bioinformatic analyses, including gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA), protein and protein interactions (PPI), and MetaboAnalyst analysis, were conducted to investigate the key molecules of SA-AKI. Integrated proteomics and metabolomics analysis revealed that sepsis led to impaired renal mitochondrial function and metabolic disorders. Immune-related pathways were found to be activated in kidneys upon septic infection. The catabolic products of polyamines accumulated in septic kidneys. Overall, our integrated analysis provides a multidimensional understanding of SA-AKI and identifies potential pathways for this condition.
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Affiliation(s)
- Jiatong Xu
- Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (J.X.); (Y.L.)
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Jiaying Li
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (J.L.); (X.S.)
| | - Yan Li
- Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (J.X.); (Y.L.)
| | - Xiaoxiao Shi
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (J.L.); (X.S.)
| | - Huadong Zhu
- Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (J.X.); (Y.L.)
| | - Limeng Chen
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (J.L.); (X.S.)
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Li Z, Vacanti NM. A Tale of Three Proteomes: Visualizing Protein and Transcript Abundance Relationships in the Breast Cancer Proteome Portal. J Proteome Res 2023; 22:2727-2733. [PMID: 37493333 DOI: 10.1021/acs.jproteome.3c00290] [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] [Indexed: 07/27/2023]
Abstract
Molecular characterization is transforming research on novel therapeutics in breast cancer. High-throughput methodologies are unbiased to hypotheses; thus, data produced are relevant to address unlimited questions and provide resources for the experimental design process. However, the opportunity is often overlooked because data are not readily accessed or analyzed. Herein, the Breast Cancer Proteome Portal, the only online tool for analyzing protein and transcript abundances across the three breast cancer proteomics studies, is presented. The tool is applied to demonstrate that cofunctioning protein abundances are highly correlated and, conversely, high abundance correlation may be an indicator of cofunction. Furthermore, the cofunction-correlation relationship is less resolved at the transcript level. By applying analysis and visualization tools within the Breast Cancer Proteome Portal, insights are garnered about serine synthesis and the compartmentalization of one-carbon metabolism in breast cancer, and a transcription factor tumorigenic regulatory network of glutamine deamination and oxidation is proposed, illustrating that the Breast Cancer Proteome Portal provides an interface for garnering insights from the information-rich studies of the breast cancer proteome.
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Affiliation(s)
- Zhuoheng Li
- Division of Nutritional Sciences, Cornell University, Ithaca, New York 14853-0001, United States
| | - Nathaniel M Vacanti
- Division of Nutritional Sciences, Cornell University, Ithaca, New York 14853-0001, United States
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