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Jiao M, Sun W, Li L, Li C, Zhou J, Li Q, Duan L. Clinical significance of SPOCK2 expression signature for high-grade serous ovarian cancer patients. Front Genet 2022; 13:878123. [PMID: 36246613 PMCID: PMC9554533 DOI: 10.3389/fgene.2022.878123] [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: 02/17/2022] [Accepted: 09/05/2022] [Indexed: 11/19/2022] Open
Abstract
Background: SPOCK2 is a member of the SPOCK family, a 424-amino acid protein that binds to glycosaminoglycans to form proteoglycans. The purpose of this study was to explore expression profile of SPOCK2, and evaluate prognostic potential and its correlation with immune infiltration in high-grade serous ovarian cancer (HGSOC). Methods: Expression of SPOCK2 mRNA and protein between normal and tumor tissues were analyzed using the Cancer Genome Atlas database (TCGA), Gene Expression Omnibus (GEO), Clinical Proteomic Tumor Analysis Consortium (CPTAC), and the Human Protein Atlas (HPA) databases. Receiver operating characteristic (ROC) curve was used to evaluate diagnostic performance of SPOCK2. Kaplan-Meier method and Cox regression analysis were conducted to assess the effect of SPOCK2 on survival. Nomogram was used to predict the impact of SPOCK2 on prognosis. LinkedOmics were used to find correlated genes and perform functional enrichment analyses. The relationships between SPOCK2 and tumor infiltrating lymphocytes (TILs) were determined by tumor-immune system interaction database (TISIDB) and GSVA package (V1.34.0). Results: SPOCK2 was highly expressed in HGSOC tissue compared to normal tissue at both mRNA (p < 0.001) and protein (p = 0.03) levels. The area under the curve (AUC) is 0.894 (CI: 0.865–0.923). Kaplan-Meier analysis showed that HGSOC patients with high-level SPOCK2 mRNA expression had a worse overall survival (OS) than those with a low expression (HR = 1.45, p = 0.005). Univariate logistic regression analysis found that age, primary therapy outcome, tumor status, tumor residual, and SPOCK2 expression level were significantly associated with OS (p < 0.05). The nomogram model indicated an effective predictive performance of SPOCK2. Kyoto encyclopedia of genes and genomes (KEGG) and gene ontology (GO) term analyses showed that SPOCK2 were mainly involved in regulating extracellular matrix. Immune infiltration analysis showed that SPOCK2 may correlate with abundance of TILs. Conclusion: SPOCK2 has potentials to estimate diagnosis and prognosis for HGSOC and is involved in regulating extracellular matrix and immune cell infiltration.
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Affiliation(s)
- Mi Jiao
- Xi’an Jiaotong University Health Science Center, Xi’an Jiaotong University, Xi’an, Shaanxi, China
- Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Xi’an Jiaotong University Medical College, Xi’an, Shaanxi, China
| | - Wenbo Sun
- Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Xi’an Jiaotong University Medical College, Xi’an, Shaanxi, China
| | - Lina Li
- Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Xi’an Jiaotong University Medical College, Xi’an, Shaanxi, China
| | - Chunyan Li
- Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Xi’an Jiaotong University Medical College, Xi’an, Shaanxi, China
| | - Jing Zhou
- Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Xi’an Jiaotong University Medical College, Xi’an, Shaanxi, China
| | - Qian Li
- Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Xi’an Jiaotong University Medical College, Xi’an, Shaanxi, China
| | - Lian Duan
- Xi’an Jiaotong University Health Science Center, Xi’an Jiaotong University, Xi’an, Shaanxi, China
- *Correspondence: Lian Duan,
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Blasco Tavares Pereira Lopes F, Schlatzer D, Wang R, Li X, Feng E, Koyutürk M, Qi X, Chance MR. Temporal and Sex-Linked Protein Expression Dynamics in a Familial Model of Alzheimer's Disease. Mol Cell Proteomics 2022; 21:100280. [PMID: 35944844 PMCID: PMC9483563 DOI: 10.1016/j.mcpro.2022.100280] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 07/27/2022] [Accepted: 08/03/2022] [Indexed: 12/03/2022] Open
Abstract
Mouse models of Alzheimer's disease (AD) show progression through stages reflective of human pathology. Proteomics identification of temporal and sex-linked factors driving AD-related pathways can be used to dissect initiating and propagating events of AD stages to develop biomarkers or design interventions. In the present study, we conducted label-free proteome measurements of mouse hippocampus tissue with variables of time (3, 6, and 9 months), genetic background (5XFAD versus WT), and sex (equal males and females). These time points are associated with well-defined phenotypes with respect to the following: Aβ42 plaque deposition, memory deficits, and neuronal loss, allowing correlation of proteome-based molecular signatures with the mouse model stages. Our data show 5XFAD mice exhibit increases in known human AD biomarkers as amyloid-beta peptide, APOE, GFAP, and ITM2B are upregulated across all time points/stages. At the same time, 23 proteins are here newly associated with Alzheimer's pathology as they are also dysregulated in 5XFAD mice. At a pathways level, the 5XFAD-specific upregulated proteins are significantly enriched for DNA damage and stress-induced senescence at 3-month only, while at 6-month, the AD-specific proteome signature is altered and significantly enriched for membrane trafficking and vesicle-mediated transport protein annotations. By 9-month, AD-specific dysregulation is also characterized by significant neuroinflammation with innate immune system, platelet activation, and hyper-reactive astrocyte-related enrichments. Aside from these temporal changes, analysis of sex-linked differences in proteome signatures uncovered novel sex and AD-associated proteins. Pathway analysis revealed sex-linked differences in the 5XFAD model to be involved in the regulation of well-known human AD-related processes of amyloid fibril formation, wound healing, lysosome biogenesis, and DNA damage. Verification of the discovery results by Western blot and parallel reaction monitoring confirm the fundamental conclusions of the study and poise the 5XFAD model for further use as a molecular tool for understanding AD.
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Affiliation(s)
- Filipa Blasco Tavares Pereira Lopes
- Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Daniela Schlatzer
- Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Rihua Wang
- Department of Physiology & Biophysics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Center for Mitochondrial Diseases, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xiaolin Li
- Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Emily Feng
- Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Mehmet Koyutürk
- Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Department of Computer and Data Sciences, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xin Qi
- Department of Physiology & Biophysics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Center for Mitochondrial Diseases, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Mark R Chance
- Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
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