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Ding Y, Lu Y, Guo J, Chen S, Han X, Wang S, Zhang M, Wang R, Song J, Wang K, Qiu W, Qi W. An investigation of the molecular characterization of the tripartite motif (TRIM) family and primary validation of TRIM31 in gastric cancer. Hum Genomics 2024; 18:77. [PMID: 38978046 PMCID: PMC11232234 DOI: 10.1186/s40246-024-00631-7] [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: 11/27/2023] [Accepted: 05/28/2024] [Indexed: 07/10/2024] Open
Abstract
Most TRIM family members characterized by the E3-ubiquitin ligases, participate in ubiquitination and tumorigenesis. While there is a dearth of a comprehensive investigation for the entire family in gastric cancer (GC). By combining the TCGA and GEO databases, common TRIM family members (TRIMs) were obtained to investigate gene expression, gene mutations, and clinical prognosis. On the basis of TRIMs, a consensus clustering analysis was conducted, and a risk assessment system and prognostic model were developed. Particularly, TRIM31 with clinical prognostic and diagnostic value was chosen for single-gene bioinformatics analysis, in vitro experimental validation, and immunohistochemical analysis of clinical tissue microarrays. The combined dataset consisted of 66 TRIMs, of which 52 were differentially expressed and 43 were differentially prognostic. Significant survival differences existed between the gene clusters obtained by consensus clustering analysis. Using 4 differentially expressed genes identified by multivariate Cox regression and LASSO regression, a risk scoring system was developed. Higher risk scores were associated with a poorer prognosis, suppressive immune cell infiltration, and drug resistance. Transcriptomic data and clinical sample tissue microarrays confirmed that TRIM31 was highly expressed in GC and associated with a poor prognosis. Pathway enrichment analysis, cell migration and colony formation assay, EdU assay, reactive oxygen species (ROS) assay, and mitochondrial membrane potential assay revealed that TRIM31 may be implicated in cell cycle regulation and oxidative stress-related pathways, contribute to gastric carcinogenesis. This study investigated the whole functional and expression profile and a risk score system based on the TRIM family in GC. Further investigation centered around TRIM31 offers insight into the underlying mechanisms of action exhibited by other members of its family in the context of GC.
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Affiliation(s)
- Yixin Ding
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Medical Oncology, Department of Cancer Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yangyang Lu
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jing Guo
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Shuming Chen
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaoxi Han
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Shibo Wang
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Mengqi Zhang
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Rui Wang
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jialin Song
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Kongjia Wang
- Department of Urology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wensheng Qiu
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Weiwei Qi
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China.
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Hushmandi K, Saadat SH, Raei M, Daneshi S, Aref AR, Nabavi N, Taheriazam A, Hashemi M. Implications of c-Myc in the pathogenesis and treatment efficacy of urological cancers. Pathol Res Pract 2024; 259:155381. [PMID: 38833803 DOI: 10.1016/j.prp.2024.155381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/08/2024] [Accepted: 05/28/2024] [Indexed: 06/06/2024]
Abstract
Urological cancers, including prostate, bladder, and renal cancers, are significant causes of death and negatively impact the quality of life for patients. The development and progression of these cancers are linked to the dysregulation of molecular pathways. c-Myc, recognized as an oncogene, exhibits abnormal levels in various types of tumors, and current evidence supports the therapeutic targeting of c-Myc in cancer treatment. This review aims to elucidate the role of c-Myc in driving the progression of urological cancers. c-Myc functions to enhance tumorigenesis and has been documented to increase growth and metastasis in prostate, bladder, and renal cancers. Furthermore, the dysregulation of c-Myc can result in a diminished response to therapy in these cancers. Non-coding RNAs, β-catenin, and XIAP are among the regulators of c-Myc in urological cancers. Targeting and suppressing c-Myc therapeutically for the treatment of these cancers has been explored. Additionally, the expression level of c-Myc may serve as a prognostic factor in clinical settings.
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Affiliation(s)
- Kiavash Hushmandi
- Nephrology and Urology Research Center, Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
| | - Seyed Hassan Saadat
- Nephrology and Urology Research Center, Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Mehdi Raei
- Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran; Department of Epidemiology and Biostatistics, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Salman Daneshi
- Department of Public Health,School of Health,Jiroft University Of Medical Sciences, Jiroft, Iran
| | - Amir Reza Aref
- Department of Translational Sciences, Xsphera Biosciences Inc. Boston, MA, USA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Noushin Nabavi
- Department of Urologic Sciences and Vancouver Prostate Centre, University of British Columbia, V6H3Z6, Vancouver, BC, Canada
| | - Afshin Taheriazam
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Orthopedics, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
| | - Mehrdad Hashemi
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
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3
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Liu L, Sun J, Zhong C, Zhang A, Wang G, Chen S, Zhang S, Wang M, Li L. Identification of a fatty acid metabolism-related gene signature to predict prognosis in stomach adenocarcinoma. Aging (Albany NY) 2024; 16:8552-8571. [PMID: 38742949 PMCID: PMC11164501 DOI: 10.18632/aging.205823] [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: 11/02/2023] [Accepted: 03/13/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Fatty acid metabolism (FAM) contributes to tumorigenesis and tumor development, but the role of FAM in the progression of stomach adenocarcinoma (STAD) has not been comprehensively clarified. METHODS The expression data and clinical follow-up information were obtained from The Cancer Genome Atlas (TCGA). FAM pathway was analyzed by gene set enrichment analysis (GSEA) and single-sample GSEA (ssGSEA) methods. Univariate Cox regression analysis was conducted to select prognosis genes. Molecular subtypes were classified by consensus clustering analysis. Furthermore, least absolute shrinkage and selection operator (Lasso) analysis was employed to develop a risk model. ESTIMATE and tumour immune dysfunction and exclusion (TIDE) algorithm were used to assess immunity. pRRophetic package was conducted to predict drug sensitivity. RESULTS Based on 14 FAM related prognosis genes (FAMRG), 2 clusters were determined. Patients in C2 showed a worse overall survival (OS). Furthermore, a 7-FAMRG risk model was established as an independent predictor for STAD, with a higher riskscore indicating an unfavorable OS. High riskscore patients had higher TIDE score and these patients were more sensitive to anticancer drugs such as Bortezomib, Dasatinib and Pazopanib. A nomogram based on riskscore was an effective prediction tool applicable to clinical settings. The results from pan-cancer analysis supported a prominent application value of riskscore model in other cancer types. CONCLUSION The FAMRGs model established in this study could help predict STAD prognosis and offer new directions for future studies on dysfunctional FAM-induced damage and anti-tumor drugs in STAD disease.
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Affiliation(s)
- Lei Liu
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Jing Sun
- Department of Spinal Surgery, Strategic Support Force Medical Center, Beijing 100101, China
| | - Changqing Zhong
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Ang Zhang
- Department of Hematopathology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Guodong Wang
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Sheng Chen
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Shuai Zhang
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Min Wang
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Lianyong Li
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
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Wang Y, Chen X, Li Y, Zhang Z, Xia L, Jiang J, Chai Y, Wang Z, Wan Y, Li T, Jin F, Li H. SLC27A2 is a potential immune biomarker for hematological tumors and significantly regulates the cell cycle progression of diffuse large B-cell lymphoma. BMC Med Genomics 2024; 17:105. [PMID: 38664735 PMCID: PMC11046844 DOI: 10.1186/s12920-024-01853-3] [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: 10/31/2023] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Research on the fatty acid metabolism related gene SLC27A2 is currently mainly focused on solid tumors, and its mechanism of action in hematological tumors has not been reported. METHOD This study aims to explore the pathological and immune mechanisms of the fatty acid metabolism related gene SLC27A2 in hematological tumors and verify its functional role in hematological tumors through cell experiments to improve treatment decisions and clinical outcomes of hematological tumors. RESULT This study identified the fatty acid metabolism related gene SLC27A2 as a common differentially expressed gene between DLBCL and AML. Immune microenvironment analysis showed that SLC27A2 was significantly positively correlated with T cell CD4 + , T cell CD8 + , endothelial cells, macrophages, and NK cells in DLBCL. In AML, there is a significant negative correlation between SLC27A2 and B cells, T cell CD8 + , and macrophages. SLC27A2 participates in the immune process of hematological tumors through T cell CD8 + and macrophages. The GESA results indicate that high expression of SLC27A2 is mainly involved in the fatty acid pathway, immune pathway, and cell cycle pathway of DLBCL. The low expression of SLC27A2 is mainly involved in the immune pathway of AML. Therefore, SLC27A2 is mainly involved in the pathological mechanisms of hematological tumors through immune pathways, and cell experiments have also confirmed that SLC27A2 is involved in the regulation of DLBCL cells. CONCLUSION In summary, our research results comprehensively report for the first time the mechanism of action of SLC27A2 in the immune microenvironment of DLBCL and AML, and for the first time verify the cycle and apoptotic effects of the fatty acid related gene SLC27A2 in DLBCL cells through cell experiments. Research can help improve the treatment of AML and DLBCL patients.
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MESH Headings
- Humans
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/pathology
- Cell Cycle
- Tumor Microenvironment/immunology
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Gene Expression Regulation, Neoplastic
- Hematologic Neoplasms/genetics
- Hematologic Neoplasms/immunology
- Hematologic Neoplasms/pathology
- Cell Line, Tumor
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/immunology
- Leukemia, Myeloid, Acute/pathology
- Leukemia, Myeloid, Acute/metabolism
- Fatty Acids/metabolism
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Affiliation(s)
- Yi Wang
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Xue Chen
- Graduate School Internal Medicine, Bengbu Medical College, Anhui, China
| | - Yun Li
- Kindstar Global Precision Medicine Institute, Wuhan, China
- Department of Scientific Research Project, Wuhan Kindstar Medical Laboratory Co., Ltd, Wuhan, Hubei, China
| | - Zhixue Zhang
- Department of Hematology, The Ji'an Central Hospital, Jiangxi, China
| | - Leiming Xia
- Department of Hematology, The First Affiliated Hospital of Anhui Medical, Anhui, China
| | - Jiang Jiang
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical, Hefei, Anhui, China
| | - Yuqin Chai
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Ziming Wang
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Yu Wan
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Tongyu Li
- Ningbo Clinical Research Center for Hematologic Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Fengbo Jin
- Department of Hematology, The First Affiliated Hospital of Anhui Medical, Anhui, China.
| | - Hongxia Li
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China.
- Graduate School Internal Medicine, Bengbu Medical College, Anhui, China.
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Ebrahimi N, Manavi MS, Faghihkhorasani F, Fakhr SS, Baei FJ, Khorasani FF, Zare MM, Far NP, Rezaei-Tazangi F, Ren J, Reiter RJ, Nabavi N, Aref AR, Chen C, Ertas YN, Lu Q. Harnessing function of EMT in cancer drug resistance: a metastasis regulator determines chemotherapy response. Cancer Metastasis Rev 2024; 43:457-479. [PMID: 38227149 DOI: 10.1007/s10555-023-10162-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/08/2023] [Indexed: 01/17/2024]
Abstract
Epithelial-mesenchymal transition (EMT) is a complicated molecular process that governs cellular shape and function changes throughout tissue development and embryogenesis. In addition, EMT contributes to the development and spread of tumors. Expanding and degrading the surrounding microenvironment, cells undergoing EMT move away from the main location. On the basis of the expression of fibroblast-specific protein-1 (FSP1), fibroblast growth factor (FGF), collagen, and smooth muscle actin (-SMA), the mesenchymal phenotype exhibited in fibroblasts is crucial for promoting EMT. While EMT is not entirely reliant on its regulators like ZEB1/2, Twist, and Snail proteins, investigation of upstream signaling (like EGF, TGF-β, Wnt) is required to get a more thorough understanding of tumor EMT. Throughout numerous cancers, connections between tumor epithelial and fibroblast cells that influence tumor growth have been found. The significance of cellular crosstalk stems from the fact that these events affect therapeutic response and disease prognosis. This study examines how classical EMT signals emanating from various cancer cells interfere to tumor metastasis, treatment resistance, and tumor recurrence.
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Affiliation(s)
- Nasim Ebrahimi
- Genetics Division, Department of Cell and Molecular Biology and Microbiology, Faculty of Science and Technology, University of Isfahan, Isfahan, Iran
| | | | | | - Siavash Seifollahy Fakhr
- Department of Biotechnology, Faculty of Applied Ecology, Agricultural Science and Biotechnology, Campus Hamar, Inland Norway University of Applied Sciences, Hamar, Norway
| | | | | | - Mohammad Mehdi Zare
- Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Nazanin Pazhouhesh Far
- Department of Microbiology, Faculty of Advanced Science and Technology, Tehran Medical Science, Islamic Azad University, Tehran, Iran
| | - Fatemeh Rezaei-Tazangi
- Department of Anatomy, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - Jun Ren
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Russel J Reiter
- Department of Cellular and Structural Biology, UT Health Science Center, San Antonio, TX, 77030, USA
| | - Noushin Nabavi
- Department of Urologic Sciences and Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, V6H3Z6, Canada
| | - Amir Reza Aref
- Translational Medicine Group, Xsphera Biosciences, 6 Tide Street, Boston, MA, 02210, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
| | - Chu Chen
- Department of Cardiology, Affiliated Hospital of Nantong University, Jiangsu, 226001, China
| | - Yavuz Nuri Ertas
- ERNAM-Nanotechnology Research and Application Center, Erciyes University, Kayseri, 38039, Türkiye.
- Department of Biomedical Engineering, Erciyes University, Kayseri, 38039, Türkiye.
| | - Qi Lu
- Department of Cardiology, Affiliated Hospital of Nantong University, Jiangsu, 226001, China.
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Sun S, Peng K, Yang B, Yang M, Jia X, Wang N, Zhang Q, Kong D, Du Y. The therapeutic effect of wine-processed Corni Fructus on chronic renal failure in rats through the interference with the LPS/IL-1-mediated inhibition of RXR function. JOURNAL OF ETHNOPHARMACOLOGY 2024; 321:117511. [PMID: 38036016 DOI: 10.1016/j.jep.2023.117511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/02/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Corni Fructus, derived from the fruit of Cornus officinalis Sieb. et Zucc, is a widely utilized traditional Chinese medicine (TCM) with established efficacy in the treatment of diverse chronic kidney diseases. Crude Corni Fructus (CCF) and wine-processed Corni Fructus (WCF) are the main processed forms of Corni Fructus. Generally, TCM is often used after processing (paozhi). Despite the extensive use of processed TCM, the underlying mechanisms of processing for most TCMs have been unclear so far. AIM OF THE STUDY In this study, an integrated strategy combined renal metabolomics with proteomics was established and investigated the potential processing mechanisms of CCF or WCF on chronic renal failure (CRF) models. MATERIALS AND METHODS Firstly, the differences in biochemical parameters and pathological histology were compared to evaluate the effects of CCF and WCF on CRF model rats. Then, the tissue differential metabolites and proteins between CCF and WCF on CRF model rats were screened based on metabolomics and proteomics technology. Concurrently, a combined approach of metabolomics and proteomics was employed to investigate the underlying mechanisms associated with these marker metabolic products and proteins. RESULTS Compared to the MG group, there were 27 distinct metabolites and 143 different proteins observed in the CCF-treatment group, while the WCF-treatment group exhibited 24 distinct metabolites and 379 different proteins. Further, the integration interactions analysis of the protein and lipid metabolite revealed that both WCF and CCF improved tryptophan degradation and LPS/IL-1-mediated inhibition of RXR function. WCF inhibited RXR function more than CCF via the modulation of LPS/IL-1 in the CRF model. Experimental results were validated by qRT-PCR and western blotting. Notably, the gene expression amount and protein levels of FMO3 and CYP2E1 among 8 genes influenced by WCF were higher compared to CCF. CONCLUSION The results of this study provide a theoretical basis for further study of Corni Fructus with different processing techniques in CRF. The findings also offer guidance for investigating the mechanism of action of herbal medicines in diseases employing diverse processing techniques.
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Affiliation(s)
- Shilin Sun
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China; Baoding Hospital of Beijing Children's Hospital, Capital Medical University, Hebei, 071000, PR China
| | - Kenan Peng
- Hebei General Hospital, Shijiazhuang, Hebei, 050051, PR China
| | - Bingkun Yang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China
| | - Mengxin Yang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China
| | - Xinming Jia
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China
| | - Nan Wang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China
| | - Qian Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China
| | - Dezhi Kong
- Institute of Chinese Integrative Medicine, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China.
| | - Yingfeng Du
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei, 050017, PR China.
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Fang K, Gong M, Liu D, Liang S, Li Y, Sang W, Zhu R. FOXM1/KIF20A axis promotes clear cell renal cell carcinoma progression via regulating EMT signaling and affects immunotherapy response. Heliyon 2023; 9:e22734. [PMID: 38125441 PMCID: PMC10730723 DOI: 10.1016/j.heliyon.2023.e22734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/27/2023] [Accepted: 11/17/2023] [Indexed: 12/23/2023] Open
Abstract
Background The correlation between FOXM1 and KIF20A has not been revealed in clear cell renal cell carcinoma (ccRCC). Methods Public data was downloaded from The Cancer Genome Atlas (TCGA) database. R software was utilized for the execution of bioinformatic analysis. The expression levels of specific molecules (mRNA and protein) were detected using real-time quantitative PCR (qRT-PCR) and Western blot assays. The capacity of cell growth was assessed by employing CCK8 and colony formation assay. Cell invasion and migration ability were assessed using transwell assay. Results In our study, we illustrated the association between FOXM1 and KIF20A. Our results indicated that both FOXM1 and KIF20A were associated with poor prognosis and clinical performance. The malignant characteristics of ccRCC cells can be significantly suppressed by inhibiting FOXM1 and KIF20A, as demonstrated by in vitro experiments. Moreover, we found that FOXM1 can upregulate KIF20A. Then, EMT signaling was identified as the underlying pathway FOXM1 and KIF20A are involved. WB results indicated that FOXM1/KIF20A axis can activate EMT signaling. Moreover, we noticed that FOXM1 and KIF20A can affect the immunotherapy response and immune microenvironment of ccRCC patients. Conclusions Our results identified the role of the FOXM1/KIF20A axis in ccRCC progression and immunotherapy, making it the underlying target for ccRCC.
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Affiliation(s)
- Kai Fang
- Department of Urology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Min Gong
- Department of Urology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Dong Liu
- Department of Urology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Shengjie Liang
- Department of Urology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Yang Li
- Department of Urology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Weicong Sang
- Department of Urology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Rujian Zhu
- Department of Urology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
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8
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Wang C, Li W, Meng X, Yuan H, Yu T, Yang W, Ni D, Liu L, Xiao W. Downregulation of RNA binding protein 47 predicts low survival in patients and promotes the development of renal cell malignancies through RNA stability modification. MOLECULAR BIOMEDICINE 2023; 4:41. [PMID: 37962768 PMCID: PMC10645769 DOI: 10.1186/s43556-023-00148-w] [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: 04/08/2023] [Accepted: 10/11/2023] [Indexed: 11/15/2023] Open
Abstract
RNA binding proteins (RBPs) are crucial for cell function, tissue growth, and disease development in disease or normal physiological processes. RNA binding motif protein 47 (RBM47) has been proven to have anti-tumor effects on many cancers, but its effect is not yet clear in renal cancer. Here, we demonstrated the expression and the prognostic role of RBM47 in public databases and clinical samples of clear cell renal carcinoma (ccRCC) with bioinformatics analysis. The possible mechanism of RBM47 in renal cancer was verified by gene function prediction and in vitro experiments. The results showed that RBM47 was downregulated in renal cancers when compared with control groups. Low RBM47 expression indicated poor prognosis in ccRCC. RBM47 expression in renal cancer cell lines was reduced significantly when compared to normal renal tubular epithelial cells. Epithelial-mesenchymal transition (EMT) and transforming growth factor-β signaling pathway was associated with RBM47 in ccRCC by Gene set enrichment analysis. RBM47 expression had a positive correlation with e-cadherin, but a negative correlation with snail and vimentin. RBM47 overexpression could repress the migration, invasion activity, and proliferation capacity of renal cancer cells, while RBM47 inhibition could promote the development of the malignant features through EMT signaling by RNA stability modification. Therefore, our results suggest that RBM47, as a new molecular biomarker, may play a key role in the cancer development of ccRCC.
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Affiliation(s)
- Cheng Wang
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Weiquan Li
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiangui Meng
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Hongwei Yuan
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Tiexi Yu
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Yang
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Dong Ni
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Lei Liu
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Wen Xiao
- Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Institute of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China.
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He P, Dai Q, Wu X. New insight in urological cancer therapy: From epithelial-mesenchymal transition (EMT) to application of nano-biomaterials. ENVIRONMENTAL RESEARCH 2023; 229:115672. [PMID: 36906272 DOI: 10.1016/j.envres.2023.115672] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 05/21/2023]
Abstract
A high number of cancer-related deaths (up to 90) are due to metastasis and simple definition of metastasis is new colony formation of tumor cells in a secondary site. In tumor cells, epithelial-mesenchymal transition (EMT) stimulates metastasis and invasion, and it is a common characteristic of malignant tumors. Prostate cancer, bladder cancer and renal cancer are three main types of urological tumors that their malignant and aggressive behaviors are due to abnormal proliferation and metastasis. EMT has been well-documented as a mechanism for promoting invasion of tumor cells and in the current review, a special attention is directed towards understanding role of EMT in malignancy, metastasis and therapy response of urological cancers. The invasion and metastatic characteristics of urological tumors enhance due to EMT induction and this is essential for ensuring survival and ability in developing new colonies in neighboring and distant tissues and organs. When EMT induction occurs, malignant behavior of tumor cells enhances and their tend in developing therapy resistance especially chemoresistance promotes that is one of the underlying reasons for therapy failure and patient death. The lncRNAs, microRNAs, eIF5A2, Notch-4 and hypoxia are among common modulators of EMT mechanism in urological tumors. Moreover, anti-tumor compounds such as metformin can be utilized in suppressing malignancy of urological tumors. Besides, genes and epigenetic factors modulating EMT mechanism can be therapeutically targeted for interfering malignancy of urological tumors. Nanomaterials are new emerging agents in urological cancer therapy that they can improve potential of current therapeutics by their targeted delivery to tumor site. The important hallmarks of urological cancers including growth, invasion and angiogenesis can be suppressed by cargo-loaded nanomaterials. Moreover, nanomaterials can improve chemotherapy potential in urological cancer elimination and by providing phototherapy, they mediate synergistic tumor suppression. The clinical application depends on development of biocompatible nanomaterials.
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Affiliation(s)
- Peng He
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Qiang Dai
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Xiaojun Wu
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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Lavoro A, Falzone L, Tomasello B, Conti GN, Libra M, Candido S. In silico analysis of the solute carrier (SLC) family in cancer indicates a link among DNA methylation, metabolic adaptation, drug response, and immune reactivity. Front Pharmacol 2023; 14:1191262. [PMID: 37397501 PMCID: PMC10308049 DOI: 10.3389/fphar.2023.1191262] [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: 03/21/2023] [Accepted: 06/05/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction: The oncogenic transformation is driven by genetic and epigenetic alterations influencing cancer cell fate. These alterations also result in metabolic reprogramming by modulating the expression of membrane Solute Carrier (SLC) transporters involved in biomolecules trafficking. SLCs act as tumor suppressors or promoters influencing cancer methylome, tumor growth, immune-escape, and chemoresistance. Methods: This in silico study aimed to identify the deregulated SLCs in various tumor types compared to normal tissues by analyzing the TCGA Target GTEx dataset. Furthermore, the relationship between SLCs expression and the most relevant tumor features was tackled along with their genetic regulation mediated by DNA methylation. Results: We identified 62 differentially expressed SLCs, including the downregulated SLC25A27 and SLC17A7, as well as the upregulated SLC27A2 and SLC12A8. Notably, SLC4A4 and SLC7A11 expression was associated with favorable and unfavorable outcome, respectively. Moreover, SLC6A14, SLC34A2, and SLC1A2 were linked to tumor immune responsiveness. Interestingly, SLC24A5 and SLC45A2 positively correlated with anti-MEK and anti-RAF sensitivity. The expression of relevant SLCs was correlated with hypo- and hyper-methylation of promoter and body region, showing an established DNA methylation pattern. Noteworthy, the positive association of cg06690548 (SLC7A11) methylation with cancer outcome suggests the independent predictive role of DNA methylation at a single nucleotide resolution. Discussion: Although our in silico overview revealed a wide heterogeneity depending on different SLCs functions and tumor types, we identified key SLCs and pointed out the role of DNA methylation as regulatory mechanism of their expression. Overall, these findings deserve further studies to identify novel cancer biomarkers and promising therapeutic targets.
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Affiliation(s)
- Alessandro Lavoro
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Luca Falzone
- Epidemiology Unit, IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale”, Naples, Italy
| | - Barbara Tomasello
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
| | - Giuseppe Nicolò Conti
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, Italy
| | - Saverio Candido
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, Italy
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Teng ZH, Li WC, Li ZC, Wang YX, Han ZW, Zhang YP. Neutrophil extracellular traps-associated modification patterns depict the tumor microenvironment, precision immunotherapy, and prognosis of clear cell renal cell carcinoma. Front Oncol 2022; 12:1094248. [PMID: 36620592 PMCID: PMC9813599 DOI: 10.3389/fonc.2022.1094248] [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: 11/09/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Background Neutrophil extracellular traps (NETs) are web-like structures formed by neutrophils, and their main function is antimicrobial defense. Moreover, NETs have numerous roles in the pathogenesis and progression of cancers. However, the potential roles of NET-related genes in renal cell carcinoma remain unclear. In this study, we comprehensively investigated the NETs patterns and their relationships with tumor environment (TME), clinicopathological features, prognosis, and prediction of therapeutic benefits in the clear cell renal cell carcinoma (ccRCC) cohort. Methods We obtained the gene expression profiles, clinical characteristics, and somatic mutations of patients with ccRCC from The Cancer Genome Atlas database (TCGA), Gene Expression Omnibus (GEO), and ArrayExpress datasets, respectively. ConsensusCluster was performed to identify the NET clusters. The tumor environment scores were evaluated by the "ESTIMATE," "CIBERSORT," and ssGSEA methods. The differential analysis was performed by the "limma" R package. The NET-scores were constructed based on the differentially expressed genes (DEGs) among the three cluster patterns using the ssGSEA method. The roles of NET scores in the prediction of immunotherapy were investigated by Immunophenoscores (TCIA database) and validated in two independent cohorts (GSE135222 and IMvigor210). The prediction of targeted drug benefits was implemented using the "pRRophetic" and Gene Set Cancer Analysis (GSCA) datasets. Real-time quantitative reverse transcription polymerase chain reaction (RT-PCR) was performed to identify the reliability of the core genes' expression in kidney cancer cells. Results Three NET-related clusters were identified in the ccRCC cohort. The patients in Cluster A had more metabolism-associated pathways and better overall survival outcomes, whereas the patients in Cluster C had more immune-related pathways, a higher immune score, and a poorer prognosis than those in Cluster B. Based on the DEGs among different subtypes, patients with ccRCC were divided into two gene clusters. These gene clusters demonstrated significantly different immune statuses and clinical features. The NET scores were calculated based on the ten core genes by the Gene Set Variation Analysis (GSVA) package and then divided ccRCC patients into two risk groups. We observed that high NET scores were associated with favorable survival outcomes, which were validated in the E-MTAB-1980 dataset. Moreover, the NET scores were significantly associated with immune cell infiltration, targeted drug response, and immunotherapy benefits. Subsequently, we explored the expression profiles, methylation, mutation, and survival prediction of the 10 core genes in TCGA-KIRC. Though all of them were associated with survival information, only four out of the 10 core genes were differentially expressed genes in tumor samples compared to normal tissues. Finally, RT-PCR showed that MAP7, SLC16A12, and SLC27A2 decreased, while SLC3A1 increased, in cancer cells. Conclusion NETs play significant roles in the tumor immune microenvironment of ccRCC. Identifying NET clusters and scores could enhance our understanding of the heterogeneity of ccRCC, thus providing novel insights for precise individual treatment.
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