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Su H, Yang Y, Li C, Li J, Lv H, Jia X, Yang J, Lei J, Li X, Guo H, Wang Z, Zhang S. Development and validation of matrix metalloproteinase for predicting prognosis and tumour microenvironment immune profiles in uterine corpus endometrial carcinoma. J Cancer 2024; 15:4020-4039. [PMID: 38911387 PMCID: PMC11190773 DOI: 10.7150/jca.91277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/23/2024] [Indexed: 06/25/2024] Open
Abstract
Background: Matrix metalloproteinases (MMPs) are involved in many processes of tumour progression and invasion. However, few studies have analysed the effects of MMP expression patterns on endometrial cancer (EC) development from the perspective of the tumour microenvironment (TME). we quantified MMP expression in individual by constructing an MMP score and found MMP score effectively predict the prognosis of EC patients. Methods: MMPs expression profiles were determined based on the differential expression of 12 MMP-related regulators. Principal component analysis (PCA) was used to construct an MMP scoring system which can quantify the MMPs expression patterns individually of EC patients. Kaplan-Meier analysis, the log-rank test, and time-dependent receiver operating characteristic (ROC) curve analysis were used to evaluate the value of MMPs expression in predicting prognosis. Single-cell RNA sequencing (scRNA-seq) dataset was used to verify correlation between MMPs and progression of EC. Gene Ontology (GO) analysis was used to investigate the pathways and functions underlying MMPs expression. Tumour immune dysfunction, exclusion prediction, and pharmacotherapy response analyses were performed to assess the potential response to pharmacotherapy based on MMPs patterns. Results: We downloaded the MMPs expression data, somatic mutation data and corresponding clinical information of EC patients from the TCGA website and ICGC portal. Based on the MMP-related differentially expressed genes (DEGs), the MMP score was constructed, and EC patients were divided into high and low MMP score groups. There was a positive correlation between MMP score and prognosis of EC patients. Patients with high MMP scores had better prognosis, more abundant immune cell infiltration and stronger antitumoor immunity. Although prognosis is worse with the lower group than the high, patients with low MMP score had better response to immunotherapy, which means they could prolong the survival time through Immunological checkpoint blockade (ICB) therapy. scRNA-seq analysis identified significant heterogeneity between MMP score and classical pathways in EC. Conclusion: Our work indicates that the MMP score could be a potential tool to evaluate MMP expression patterns, immune cell infiltration, response to pharmacotherapy, clinicopathological features, and survival outcomes in EC. This will provide the more effective guide to select immunotherapeutic strategies of EC in the future.
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Affiliation(s)
- Huancheng Su
- Shanxi Medical University, Taiyuan 030001, China
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Yutong Yang
- Shanxi Medical University, Taiyuan 030001, China
- College of nursing, Shanxi medical university, Taiyuan 030001, China
| | - Chu Li
- Department of Tuina, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, China
| | - Jinpeng Li
- Shanxi Medical University, Taiyuan 030001, China
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Huihui Lv
- Shanxi Medical University, Taiyuan 030001, China
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Xiaoyao Jia
- Shanxi Medical University, Taiyuan 030001, China
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Jiaolin Yang
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Jing Lei
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Xia Li
- Shanxi Medical University, Taiyuan 030001, China
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
- College of nursing, Shanxi medical university, Taiyuan 030001, China
| | - Hongrui Guo
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Zhe Wang
- Shanxi Medical University, Taiyuan 030001, China
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Sanyuan Zhang
- Shanxi Medical University, Taiyuan 030001, China
- Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan 030001, China
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Kaur Jawanda I, Soni T, Kumari S, Prabha V. Deciphering the potential of proteomic-based biomarkers in women's reproductive diseases: empowering precision medicine in gynecology. Biomarkers 2024; 29:7-17. [PMID: 38252065 DOI: 10.1080/1354750x.2024.2308827] [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: 08/14/2023] [Accepted: 01/14/2024] [Indexed: 01/23/2024]
Abstract
CONTEXT Gynecological disorders represent a complex set of malignancies that result from a diverse array of molecular changes affecting the lives of over a million women worldwide. Ovarian, Endometrial, and Cervical cancers, Endometriosis, PCOS are the most prevalent ones that pose a grave threat to women's health. Proteomics has emerged as an invaluable tool for developing novel biomarkers, screening methods, and targeted therapeutic agents for gynecological disorders. Some of these biomarkers have been approved by the FDA, but regrettably, they have a constrained diagnostic accuracy in early-stage diagnosis as all of these biomarkers lack sensitivity and specificity. Lately, high-throughput proteomics technologies have made significant strides, allowing for identification of potential biomarkers with improved sensitivity and specificity. However, limited successes have been shown with translation of these discoveries into clinical practice. OBJECTIVE This review aims to provide a comprehensive overview of the current and potential protein biomarkers for gynecological cancers, endometriosis and PCOS, discusses recent advances and challenges, and highlights future directions for the field. CONCLUSION We propose that proteomics holds great promise as a powerful tool to revolutionize the fight against female reproductive diseases and can ultimately improve personalized patient outcomes in women's biomedicine.
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Affiliation(s)
| | - Thomson Soni
- Department of Microbiology, Panjab University, Chandigarh, India
| | - Seema Kumari
- Department of Microbiology, Panjab University, Chandigarh, India
| | - Vijay Prabha
- Department of Microbiology, Panjab University, Chandigarh, India
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Yang P, Chai Y, Wei M, Ge Y, Xu F. Mechanism of salidroside in the treatment of endometrial cancer based on network pharmacology and molecular docking. Sci Rep 2023; 13:14114. [PMID: 37644107 PMCID: PMC10465614 DOI: 10.1038/s41598-023-41157-7] [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: 03/27/2023] [Accepted: 08/22/2023] [Indexed: 08/31/2023] Open
Abstract
Salidroside is a natural product of phenols, which has a wide scape of pharmacological effects, but its pharmacological effects and molecular mechanism on endometrial cancer are not clear. To systematically explore the pharmacological effects and molecular mechanisms of salidroside on endometrial cancer through the method of network pharmacology. The possible target genes of salidroside were obtained through different pharmacological databases and analysis platforms, and then the relevant target genes of endometrial cancer were obtained through the GeneCards website, and the target genes were uniformly converted into standardized gene names with Uniprot. The collected data were then processed to obtain common target genes and further analyzed through the String website to construct a protein-protein interaction (PPI) network, followed by gene ontology (GO) functional annotation and Kyoto Gene and Genome Encyclopedia (KEGG) pathway analysis. We further interpreted the molecular mechanism of salidroside for the treatment of endometrial cancer by constructing a "drug component-target gene-disease" network. Finally, we performed molecular docking to validate the binding conformation between salidroside and the candidate target genes. There were 175 target genes of salidroside after normalization, among which 113 target genes interacted with endometrial cancer. GO analysis indicated that the anti-endometrial cancer effect of salidroside may be strongly related to biological processes such as apoptosis and response to drug. KEGG analysis indicated that its mechanism may be related to pathway in cancer and PI3K-AKT signaling pathway. Molecular docking showed that salidroside had high affinity with five key genes. Based on the novel network pharmacology and molecular docking validation research methods, we have revealed for the first time the potential mechanism of salidroside in the therapy of endometrial cancer.
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Affiliation(s)
- Panpan Yang
- Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Yihong Chai
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Min Wei
- Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Yan Ge
- Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Feixue Xu
- Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China.
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China.
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