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Lin Y, Wu Y, Zhang Q, Tu X, Chen S, Pan J, Xu N, Lin M, She P, Niu G, Chen Y, Li H. RPTOR blockade suppresses brain metastases of NSCLC by interfering the ceramide metabolism via hijacking YY1 binding. J Exp Clin Cancer Res 2024; 43:1. [PMID: 38163890 PMCID: PMC10759737 DOI: 10.1186/s13046-023-02874-z] [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: 07/06/2023] [Accepted: 10/29/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Ceramide metabolism is crucial in the progress of brain metastasis (BM). However, it remains unexplored whether targeting ceramide metabolism may arrest BM. METHODS RNA sequencing was applied to screen different genes in primary and metastatic foci and whole-exome sequencing (WES) to seek crucial abnormal pathway in BM + and BM-patients. Cellular arrays were applied to analyze the permeability of blood-brain barrier (BBB) and the activation or inhibition of pathway. Database and Co-Immunoprecipitation (Co-IP) assay were adopted to verify the protein-protein interaction. Xenograft and zebrafish model were further employed to verify the cellular results. RESULTS RNA sequencing and WES reported the involvement of RPTOR and ceramide metabolism in BM progress. RPTOR was significantly upregulated in BM foci and increased the permeability of BBB, while RPTOR deficiency attenuated the cell invasiveness and protected extracellular matrix. Exogenous RPTOR boosted the SPHK2/S1P/STAT3 cascades by binding YY1, in which YY1 bound to the regions of SPHK2 promoter (at -353 ~ -365 nt), further promoting the expression of SPHK2. The latter was rescued by YY1 RNAi. Xenograft and zebrafish model showed that RPTOR blockade suppressed BM of non-small cell lung cancer (NSCLC) and impaired the SPHK2/S1P/STAT3 pathway. CONCLUSION RPTOR is a key driver gene in the brain metastasis of lung cancer, which signifies that RPTOR blockade may serve as a promising therapeutic candidate for clinical application.
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Affiliation(s)
- Ying Lin
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Yun Wu
- Department of General Practice Medicine, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Qiangzu Zhang
- The High Performance Computing Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100095, China
| | - Xunwei Tu
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Sufang Chen
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Junfan Pan
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Nengluan Xu
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Ming Lin
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Peiwei She
- The Centre for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Gang Niu
- The High Performance Computing Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100095, China.
| | - Yusheng Chen
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
| | - Hongru Li
- Department of Respiratory and Critical Care Medicine, Shengli Clinical Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
- Fujian Provincial Key Laboratory of Medical Big Data Engineering, Fujian Provincial Hospital, Shengli Clinical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
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Recent Advances in Ovarian Cancer: Therapeutic Strategies, Potential Biomarkers, and Technological Improvements. Cells 2022; 11:cells11040650. [PMID: 35203301 PMCID: PMC8870715 DOI: 10.3390/cells11040650] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/10/2022] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
Aggressive and recurrent gynecological cancers are associated with worse prognosis and a lack of effective therapeutic response. Ovarian cancer (OC) patients are often diagnosed in advanced stages, when drug resistance, angiogenesis, relapse, and metastasis impact survival outcomes. Currently, surgical debulking, radiotherapy, and/or chemotherapy remain the mainstream treatment modalities; however, patients suffer unwanted side effects and drug resistance in the absence of targeted therapies. Hence, it is urgent to decipher the complex disease biology and identify potential biomarkers, which could greatly contribute to making an early diagnosis or predicting the response to specific therapies. This review aims to critically discuss the current therapeutic strategies for OC, novel drug-delivery systems, and potential biomarkers in the context of genetics and molecular research. It emphasizes how the understanding of disease biology is related to the advancement of technology, enabling the exploration of novel biomarkers that may be able to provide more accurate diagnosis and prognosis, which would effectively translate into targeted therapies, ultimately improving patients’ overall survival and quality of life.
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Kowsarnia S, Javadi N. Ovarian Cancer With Breast Metastasis and Two Pathogenic Variants of BRCA1 Gene. Cureus 2021; 13:e18691. [PMID: 34790454 PMCID: PMC8583985 DOI: 10.7759/cureus.18691] [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] [Accepted: 10/10/2021] [Indexed: 11/16/2022] Open
Abstract
Ovarian cancer is the second most common gynecologic cancer after uterine cancer in the United States. Ovarian cancer ranks sixth in cancer deaths among women, accounting for more deaths than other female reproductive system cancers. Breast metastasis in ovarian cancer is a rare presentation and predicts a poor prognosis and challenging management. Our case is a 42-year-old Chinese woman with high-grade serous ovarian carcinoma that presents with metastasis to the breast during the course of her illness. Genetic evaluation of the ovarian tumor showed two BRCA1 pathogenic variants. Germline pathogenic variant of c.2110_2111DelAA and a somatic variant of c.4071_4096+14del40. Our patient was offered different treatment regimens but showed progression of her disease. The low survival rate and high recurrence rate in ovarian cancer show that we still need to investigate our current approved treatments. Our report aims to shed light on the genetic evaluation of ovarian tumors and treatment options available in refractory cases of progressive ovarian cancer. Furthermore, we explain our investigational therapy regimen and the reasoning behind it.
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Affiliation(s)
- Saeedeh Kowsarnia
- Research, Olive View-University of California, Los Angeles (UCLA) Education & Research Institute, Sylmar, USA
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