1
|
Fuentes-Rodriguez A, Mitchell A, Guérin SL, Landreville S. Recent Advances in Molecular and Genetic Research on Uveal Melanoma. Cells 2024; 13:1023. [PMID: 38920653 PMCID: PMC11201764 DOI: 10.3390/cells13121023] [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: 04/10/2024] [Revised: 06/08/2024] [Accepted: 06/09/2024] [Indexed: 06/27/2024] Open
Abstract
Uveal melanoma (UM), a distinct subtype of melanoma, presents unique challenges in its clinical management due to its complex molecular landscape and tendency for liver metastasis. This review highlights recent advancements in understanding the molecular pathogenesis, genetic alterations, and immune microenvironment of UM, with a focus on pivotal genes, such as GNAQ/11, BAP1, and CYSLTR2, and delves into the distinctive genetic and chromosomal classifications of UM, emphasizing the role of mutations and chromosomal rearrangements in disease progression and metastatic risk. Novel diagnostic biomarkers, including circulating tumor cells, DNA and extracellular vesicles, are discussed, offering potential non-invasive approaches for early detection and monitoring. It also explores emerging prognostic markers and their implications for patient stratification and personalized treatment strategies. Therapeutic approaches, including histone deacetylase inhibitors, MAPK pathway inhibitors, and emerging trends and concepts like CAR T-cell therapy, are evaluated for their efficacy in UM treatment. This review identifies challenges in UM research, such as the limited treatment options for metastatic UM and the need for improved prognostic tools, and suggests future directions, including the discovery of novel therapeutic targets, immunotherapeutic strategies, and advanced drug delivery systems. The review concludes by emphasizing the importance of continued research and innovation in addressing the unique challenges of UM to improve patient outcomes and develop more effective treatment strategies.
Collapse
Affiliation(s)
- Aurélie Fuentes-Rodriguez
- Department of Ophthalmology and Otorhinolaryngology-Cervico-Facial Surgery, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada; (A.F.-R.); (A.M.); (S.L.G.)
- Hôpital du Saint-Sacrement, Regenerative Medicine Division, CHU de Québec-Université Laval Research Centre, Quebec City, QC G1S 4L8, Canada
- Centre de Recherche en Organogénèse Expérimentale de l‘Université Laval/LOEX, Quebec City, QC G1J 1Z4, Canada
- Université Laval Cancer Research Center, Quebec City, QC G1R 3S3, Canada
| | - Andrew Mitchell
- Department of Ophthalmology and Otorhinolaryngology-Cervico-Facial Surgery, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada; (A.F.-R.); (A.M.); (S.L.G.)
- Hôpital du Saint-Sacrement, Regenerative Medicine Division, CHU de Québec-Université Laval Research Centre, Quebec City, QC G1S 4L8, Canada
- Centre de Recherche en Organogénèse Expérimentale de l‘Université Laval/LOEX, Quebec City, QC G1J 1Z4, Canada
- Université Laval Cancer Research Center, Quebec City, QC G1R 3S3, Canada
| | - Sylvain L. Guérin
- Department of Ophthalmology and Otorhinolaryngology-Cervico-Facial Surgery, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada; (A.F.-R.); (A.M.); (S.L.G.)
- Hôpital du Saint-Sacrement, Regenerative Medicine Division, CHU de Québec-Université Laval Research Centre, Quebec City, QC G1S 4L8, Canada
- Centre de Recherche en Organogénèse Expérimentale de l‘Université Laval/LOEX, Quebec City, QC G1J 1Z4, Canada
| | - Solange Landreville
- Department of Ophthalmology and Otorhinolaryngology-Cervico-Facial Surgery, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada; (A.F.-R.); (A.M.); (S.L.G.)
- Hôpital du Saint-Sacrement, Regenerative Medicine Division, CHU de Québec-Université Laval Research Centre, Quebec City, QC G1S 4L8, Canada
- Centre de Recherche en Organogénèse Expérimentale de l‘Université Laval/LOEX, Quebec City, QC G1J 1Z4, Canada
- Université Laval Cancer Research Center, Quebec City, QC G1R 3S3, Canada
| |
Collapse
|
2
|
Li J, Cao D, Jiang L, Zheng Y, Shao S, Zhuang A, Xiang D. ITGB2-ICAM1 axis promotes liver metastasis in BAP1-mutated uveal melanoma with retained hypoxia and ECM signatures. Cell Oncol (Dordr) 2024; 47:951-965. [PMID: 38150154 DOI: 10.1007/s13402-023-00908-4] [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] [Accepted: 12/04/2023] [Indexed: 12/28/2023] Open
Abstract
PURPOSE Uveal melanoma (UM) with BAP1 inactivating mutations has a high risk of metastasis, but the mechanism behind BAP1 deficiency driving UM metastasis is unknown. METHODS We analyzed the single-cell RNA sequencing (scRNA-Seq) data comprised primary and metastatic UM with or without BAP1 mutations (MUTs) to reveal inter- and intra-tumor heterogeneity among different groups. Then, an immune-competent mouse liver metastatic model was used to explore the role of ITGB2-ICAM1 in BAP1-associated UM metastasis. RESULTS Cluster 1 tumor cells expressed high levels of genes linked to tumor metastasis, such as GDF15, ATF3, and CDKN1A, all of which are associated with poor prognosis. The strength of communication between terminally exhausted CD8+ T cells and GDF15hiATF3hiCDKN1Ahi tumor cells was enhanced in BAP1-mutated UM, with CellChat analysis predicting strong ITGB2-ICAM1 signaling between them. High expression of either ITGB2 or ICAM1 was a worse prognostic indicator. Using an immune-competent mouse liver metastatic model, we indicated that inhibiting either ICAM1 or ITGB2 prevented liver metastasis in the BAP1-mutated group in vivo. The inhibitors primarily inhibited hypoxia- and ECM-related pathways indicated by changes in the expression of genes such as ADAM8, CAV2, ENO1, PGK1, LOXL2, ITGA5, and VCAN. etc. CONCLUSION: This study suggested that the ITGB2-ICAM1 axis may play a crucial role for BAP1-associated UM metastasis by preserving hypoxia- and ECM- related signatures, which provide a potential strategy for preventing UM metastasis in patients with BAP1 mutation.
Collapse
Affiliation(s)
- Jiaoduan Li
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
- Department of Biliary-Pancreatic Surgery, the Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Dongyan Cao
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
- Department of Biliary-Pancreatic Surgery, the Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lixin Jiang
- Department of Ultrasound, the Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yiwen Zheng
- Department of Ultrasound, the Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Siyuan Shao
- Shanghai OneTar Biomedicine, Shanghai, China
| | - Ai Zhuang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
| | - Dongxi Xiang
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China.
- Department of Biliary-Pancreatic Surgery, the Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, China.
| |
Collapse
|
3
|
Wang Y, Huang W, Zheng S, Wang L, Zhang L, Pei X. Construction of an immune-related risk score signature for gastric cancer based on multi-omics data. Sci Rep 2024; 14:1422. [PMID: 38228846 PMCID: PMC10791612 DOI: 10.1038/s41598-024-52087-3] [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: 09/04/2023] [Accepted: 01/13/2024] [Indexed: 01/18/2024] Open
Abstract
Early identification of gastric cancer (GC) is associated with a superior survival rate compared to advanced GC. However, the poor specificity and sensitivity of traditional biomarkers suggest the importance of identifying more effective biomarkers. This study aimed to identify novel biomarkers for the prognosis of GC and construct a risk score (RS) signature based on these biomarkers, with to validation of its predictive performance. We used multi-omics data from The Cancer Genome Atlas to analyze the significance of differences in each omics data and combined the data using Fisher's method. Hub genes were subsequently subjected to univariate Cox and LASSO regression analyses and used to construct the RS signature. The RS of each patient was calculated, and the patients were divided into two subgroups according to the RS. The RS signature was validated in two independent datasets from the Gene Expression Omnibus and subsequent analyses were subsequently conducted. Five immune-related genes strongly linked to the prognosis of GC patients were obtained, namely CGB5, SLC10A2, THPO, PDGFRB, and APOD. The results revealed significant differences in overall survival between the two subgroups (p < 0.001) and indicated the high accuracy of the RS signature. When validated in two independent datasets, the results were consistent with those in the training dataset (p = 0.003 and p = 0.001). Subsequent analyses revealed that the RS signature is independent and has broad applicability among various GC subtypes. In conclusion, we used multi-omics data to obtain five immune-related genes comprising the RS signature, which can independently and effectively predict the prognosis of GC patients with high accuracy.
Collapse
Affiliation(s)
- Ying Wang
- Department of Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China.
| | - Wenting Huang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China
| | - Shanshan Zheng
- Department of Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China
| | - Liming Wang
- Department of Gastrointestinal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China
| | - Lili Zhang
- Department of Pathology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Xiaojuan Pei
- Department of Pathology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China.
| |
Collapse
|
4
|
Li K, Sun L, Wang Y, Cen Y, Zhao J, Liao Q, Wu W, Sun J, Zhou M. Single-cell characterization of macrophages in uveal melanoma uncovers transcriptionally heterogeneous subsets conferring poor prognosis and aggressive behavior. Exp Mol Med 2023; 55:2433-2444. [PMID: 37907747 PMCID: PMC10689813 DOI: 10.1038/s12276-023-01115-9] [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: 09/09/2022] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 11/02/2023] Open
Abstract
Uveal melanoma (UM) is the most frequent primary intraocular malignancy with high metastatic potential and poor prognosis. Macrophages represent one of the most abundant infiltrating immune cells with diverse functions in cancers. However, the cellular heterogeneity and functional diversity of macrophages in UM remain largely unexplored. In this study, we analyzed 63,264 single-cell transcriptomes from 11 UM patients and identified four transcriptionally distinct macrophage subsets (termed MΦ-C1 to MΦ-C4). Among them, we found that MΦ-C4 exhibited relatively low expression of both M1 and M2 signature genes, loss of inflammatory pathways and antigen presentation, instead demonstrating enhanced signaling for proliferation, mitochondrial functions and metabolism. We quantified the infiltration abundance of MΦ-C4 from single-cell and bulk transcriptomes across five cohorts and found that increased MΦ-C4 infiltration was relevant to aggressive behaviors and may serve as an independent prognostic indicator for poor outcomes. We propose a novel subtyping scheme based on macrophages by integrating the transcriptional signatures of MΦ-C4 and machine learning to stratify patients into MΦ-C4-enriched or MΦ-C4-depleted subtypes. These two subtypes showed significantly different clinical outcomes and were validated through bulk RNA sequencing and immunofluorescence assays in both public multicenter cohorts and our in-house cohort. Following further translational investigation, our findings highlight a potential therapeutic strategy of targeting macrophage subsets to control metastatic disease and consistently improve the outcome of patients with UM.
Collapse
Affiliation(s)
- Ke Li
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Lanfang Sun
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Yanan Wang
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Yixin Cen
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Jingting Zhao
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Qianling Liao
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Wencan Wu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
| | - Jie Sun
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
| | - Meng Zhou
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
| |
Collapse
|
5
|
Tan Y, Pan J, Deng Z, Chen T, Xia J, Liu Z, Zou C, Qin B. Monoacylglycerol lipase regulates macrophage polarization and cancer progression in uveal melanoma and pan-cancer. Front Immunol 2023; 14:1161960. [PMID: 37033945 PMCID: PMC10076602 DOI: 10.3389/fimmu.2023.1161960] [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: 02/09/2023] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
Background Although lipid metabolism has been proven to play a key role in the development of cancer, its significance in uveal melanoma (UM) has not yet been elucidated in the available literature. Methods To identify the expression patterns of lipid metabolism in 80 UM patients from the TCGA database, 47 genes involved in lipid metabolism were analyzed. Consensus clustering revealed two distinct molecular groups. ESTIMATE, TIMER, and ssGSEA analyses were done to identify the differences between the two subgroups in tumor microenvironment (TME) and immune state. Using Cox regression and Lasso regression analysis, a risk model based on differentially expressed genes (DEGs) was developed. To validate the expression of monoacylglycerol lipase (MGLL) and immune infiltration in diverse malignancies, a pan-cancer cohort from the UCSC database was utilized. Next, a single-cell sequencing analysis on UM patients from the GEO data was used to characterize the lipid metabolism in TME and the role of MGLL in UM. Finally, in vitro investigations were utilized to study the involvement of MGLL in UM. Results Two molecular subgroups of UM patients have considerably varied survival rates. The majority of DEGs between the two subgroups were associated with immune-related pathways. Low immune scores, high tumor purity, a low number of immune infiltrating cells, and a comparatively low immunological state were associated with a more favorable prognosis. An examination of GO and KEGG data demonstrated that the risk model based on genes involved with lipid metabolism can accurately predict survival in patients with UM. It has been demonstrated that MGLL, a crucial gene in this paradigm, promotes the proliferation, invasion, and migration of UM cells. In addition, we discovered that MGLL is strongly expressed in macrophages, specifically M2 macrophages, which may play a function in the M2 polarization of macrophages and M2 macrophage activation in cancer cells. Conclusion This study demonstrates that the risk model based on lipid metabolism may be useful for predicting the prognosis of patients with UM. By promoting macrophage M2 polarization, MGLL contributes to the evolution of malignancy in UM, suggesting that it may be a therapeutic target for UM.
Collapse
Affiliation(s)
- Yao Tan
- Shenzhen Aier Eye Hospital, Aier Eye Hospital, Jinan University, Shenzhen, China
| | - Juan Pan
- National Center for International Research of Bio-targeting Theranostics, Guangxi Key Laboratory of Bio-targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Talent Highland of Bio-targeting Theranostics, Guangxi Medical University, Nanning, Guangxi, China
- Department of Clinical Medical Research Center, The Second Clinical Medical College, The First Affiliated Hospital of Southern University of Science and Technology, Jinan University (Shenzhen People’s Hospital), Shenzhen, Guangdong, China
| | - Zhenjun Deng
- Department of Dermatology, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Tao Chen
- School of Medicine, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
| | - Jinquan Xia
- Department of Clinical Medical Research Center, The Second Clinical Medical College, The First Affiliated Hospital of Southern University of Science and Technology, Jinan University (Shenzhen People’s Hospital), Shenzhen, Guangdong, China
| | - Ziling Liu
- Shenzhen Aier Eye Hospital, Aier Eye Hospital, Jinan University, Shenzhen, China
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Chang Zou
- School of Life and Health Sciences, The Chinese University of Kong Hong, Shenzhen, China
- *Correspondence: Bo Qin, ; Chang Zou,
| | - Bo Qin
- Shenzhen Aier Eye Hospital, Aier Eye Hospital, Jinan University, Shenzhen, China
- Shenzhen Aier Ophthalmic Technology Institute, Shenzhen, China
- *Correspondence: Bo Qin, ; Chang Zou,
| |
Collapse
|