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Feng W, Jiang Y, Zeng L, Ouyang Y, Li H, Tang Y, Luo L, Ouyang L, Xie L, Tan Y, Li Y. SPACA6P-AS: a trailblazer in breast cancer pathobiology and therapeutics. Cell Biol Toxicol 2024; 40:49. [PMID: 38922500 PMCID: PMC11208203 DOI: 10.1007/s10565-024-09870-9] [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: 01/23/2024] [Accepted: 04/23/2024] [Indexed: 06/27/2024]
Abstract
OBJECTIVE The primary objective of this investigation is to delve into the involvement of the long noncoding RNA (lncRNA) SPACA6P-AS in breast cancer (BC) development, focusing on its expression pattern, association with clinical-pathological features, impact on prognosis, as well as its molecular and immunological implications. METHODS Bioinformatics analysis was conducted utilizing RNA sequencing data of 1083 BC patients from the TCGA database. Functional exploration of SPACA6P-AS was carried out through the construction of survival curves, GO and KEGG enrichment analysis, and single-sample gene set enrichment analysis (ssGSEA). Furthermore, its functionality was validated through in vitro cell experiments and in vivo nude mouse model experiments. RESULTS SPACA6P-AS showed a remarkable increase in expression levels in BC tissues (p < 0.001) and demonstrated a close relationship to poor prognosis (overall survival HR = 1.616, progression-free interval HR = 1.40, disease-specific survival HR = 1.54). Enrichment analysis revealed that SPACA6P-AS could impact biological functions such as protease regulation, endopeptidase inhibitor activity, taste receptor activity, taste transduction, and maturity-onset diabetes of the young pathway. ssGSEA analysis indicated a negative correlation between SPACA6P-AS expression and immune cell infiltration like dendritic cells and neutrophils, while a positive correlation was observed with central memory T cells and T helper 2 cells. Results from in vitro and in vivo experiments illustrated that silencing SPACA6P-AS significantly inhibited the proliferation, migration, and invasion capabilities of BC cells. In vitro experiments also highlighted that dendritic cells with silenced SPACA6P-AS exhibited enhanced capabilities in promoting the proliferation of autologous CD3 + T cells and cytokine secretion. These discoveries elucidate the potential multifaceted roles of SPACA6P-AS in BC, including its potential involvement in modulating immune cell infiltration in the tumor microenvironment. CONCLUSION The high expression of lncRNA SPACA6P-AS in BC is closely linked to poor prognosis and may facilitate tumor progression by influencing specific biological processes, signaling pathways, and the immune microenvironment. The regulatory role of SPACA6P-AS positions it as a prospective biomarker and target for therapeutic approaches for BC diagnosis and intervention.
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Affiliation(s)
- Wenjie Feng
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Yiling Jiang
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Lijun Zeng
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Yuhan Ouyang
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Hailong Li
- Department of Pathology, Changde Hospital, Xiangya School of Medicine, Central South University, the First People's Hospital of Changde City, Changde, Hunan, People's Republic of China
| | - Yuanbin Tang
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Lunqi Luo
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Lianjie Ouyang
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Liming Xie
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
| | - Yeru Tan
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
| | - Yuehua Li
- Department of Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
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Gatenby RA, Luddy KA, Teer JK, Berglund A, Freischel AR, Carr RM, Lam AE, Pienta KJ, Amend SR, Austin RH, Hammarlund EU, Cleveland JL, Tsai KY, Brown JS. Lung adenocarcinomas without driver genes converge to common adaptive strategies through diverse genetic, epigenetic, and niche construction evolutionary pathways. Med Oncol 2024; 41:135. [PMID: 38704802 PMCID: PMC11070398 DOI: 10.1007/s12032-024-02344-2] [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: 07/18/2023] [Accepted: 02/21/2024] [Indexed: 05/07/2024]
Abstract
Somatic evolution selects cancer cell phenotypes that maximize survival and proliferation in dynamic environments. Although cancer cells are molecularly heterogeneous, we hypothesized convergent adaptive strategies to common host selection forces can be inferred from patterns of epigenetic and genetic evolutionary selection in similar tumors. We systematically investigated gene mutations and expression changes in lung adenocarcinomas with no common driver genes (n = 313). Although 13,461 genes were mutated in at least one sample, only 376 non-synonymous mutations evidenced positive evolutionary selection with conservation of 224 genes, while 1736 and 2430 genes exhibited ≥ two-fold increased and ≥ 50% decreased expression, respectively. Mutations under positive selection are more frequent in genes with significantly altered expression suggesting they often "hardwire" pre-existing epigenetically driven adaptations. Conserved genes averaged 16-fold higher expression in normal lung tissue compared to those with selected mutations demonstrating pathways necessary for both normal cell function and optimal cancer cell fitness. The convergent LUAD phenotype exhibits loss of differentiated functions and cell-cell interactions governing tissue organization. Conservation with increased expression is found in genes associated with cell cycle, DNA repair, p53 pathway, epigenetic modifiers, and glucose metabolism. No canonical driver gene pathways exhibit strong positive selection, but extensive down-regulation of membrane ion channels suggests decreased transmembrane potential may generate persistent proliferative signals. NCD LUADs perform niche construction generating a stiff, immunosuppressive microenvironment through selection of specific collagens and proteases. NCD LUADs evolve to a convergent phenotype through a network of interconnected genetic, epigenetic, and ecological pathways.
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Affiliation(s)
- Robert A Gatenby
- Department of Cancer Biology and Evolution, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA.
| | - Kimberly A Luddy
- Department of Cancer Biology and Evolution, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Jamie K Teer
- Department of Cancer Biology and Evolution, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
- Department of Bioinformatics, Moffitt Cancer Center, Tampa, USA
| | - Anders Berglund
- Department of Cancer Biology and Evolution, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
- Department of Bioinformatics, Moffitt Cancer Center, Tampa, USA
| | | | - Ryan M Carr
- Department of Oncology, Mayo Clinic, Rochester, USA
| | | | - Kenneth J Pienta
- Cancer Ecology Program, Johns Hopkins University, Baltimore, USA
| | - Sarah R Amend
- Cancer Ecology Program, Johns Hopkins University, Baltimore, USA
| | | | - Emma U Hammarlund
- Division of Translational Cancer Research, Lund University, Lund, Sweden
| | - John L Cleveland
- Department of Cancer Biology and Evolution, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Kenneth Y Tsai
- Departments of Pathology and Tumor Biology, Moffitt Cancer Center, Tampa, USA
| | - Joel S Brown
- Department of Cancer Biology and Evolution, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
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Kolli V, Frucci E, da Cunha IW, Iben JR, Kim SA, Mallappa A, Li T, Faucz FR, Kebebew E, Nilubol N, Quezado MM, Merke DP. Evidence of the Role of Inflammation and the Hormonal Environment in the Pathogenesis of Adrenal Myelolipomas in Congenital Adrenal Hyperplasia. Int J Mol Sci 2024; 25:2543. [PMID: 38473790 DOI: 10.3390/ijms25052543] [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: 01/25/2024] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
Adrenal myelolipomas (AML) are composed of mature adipose and hematopoietic components. They represent approximately 3 percent of adrenal tumors and are commonly found in patients with congenital adrenal hyperplasia (CAH). CAH provides a unique environment to explore AML pathogenesis. We aimed to evaluate the role of the immune system and hormones that accumulate in poorly controlled CAH in the development of AML. When compared to normal adrenal tissue, CAH-affected adrenal tissue and myelolipomas showed an increased expression of inflammatory cells (CD68, IL2Rbeta), stem cells (CD117) B cells (IRF4), and adipogenic markers (aP2/FABP4, AdipoQ, PPARγ, Leptin, CideA), and immunostaining showed nodular lymphocytic accumulation. Immunohistochemistry staining revealed a higher density of inflammatory cells (CD20, CD3, CD68) in CAH compared to non-CAH myelolipomas. In vitro RNA-sequencing studies using NCI-H295R adrenocortical cells with exogenous exposure to ACTH, testosterone, and 17-hydroxyprogesterone hormones, showed the differential expression of genes involved in cell cycle progression, phosphorylation, and tumorigenesis. Migration of B-lymphocytes was initiated after the hormonal treatment of adrenocortical cells using the Boyden chamber chemotaxis assay, indicating a possible hormonal influence on triggering inflammation and the development of myelolipomas. These findings demonstrate the important role of inflammation and the hormonal milieu in the development of AML in CAH.
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Affiliation(s)
- Vipula Kolli
- National Institutes of Health Clinical Center, 10 Center Drive, Bethesda, MD 20892, USA
| | - Emily Frucci
- National Institutes of Health Clinical Center, 10 Center Drive, Bethesda, MD 20892, USA
| | - Isabela Werneck da Cunha
- Laboratory of Pathology, National Cancer Institute, Bethesda, MD 20892, USA
- D'Or Institute for Research and Education (IDOR), São Paulo 05403, Brazil
| | - James R Iben
- The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
| | - Sun A Kim
- Laboratory of Pathology, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ashwini Mallappa
- National Institutes of Health Clinical Center, 10 Center Drive, Bethesda, MD 20892, USA
| | - Tianwei Li
- The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
| | - Fabio Rueda Faucz
- The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
| | - Electron Kebebew
- Division of General Surgery, Department of Surgery, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | | | - Martha M Quezado
- Laboratory of Pathology, National Cancer Institute, Bethesda, MD 20892, USA
| | - Deborah P Merke
- National Institutes of Health Clinical Center, 10 Center Drive, Bethesda, MD 20892, USA
- The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
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Xia B, Wang J, Zhang D, Hu X. Integration of basement membrane-related genes in a risk signature for prognosis in clear cell renal cell carcinoma. Sci Rep 2024; 14:3893. [PMID: 38365923 PMCID: PMC10873511 DOI: 10.1038/s41598-024-54073-1] [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: 09/12/2023] [Accepted: 02/08/2024] [Indexed: 02/18/2024] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is characterized by high heterogeneity and recurrence rates, posing significant challenges for stratification and treatment. Basement membrane-related genes (BMGs) play a crucial role in tumor initiation and progression. Clinical and transcriptomic data of ccRCC patients were extracted from TCGA and GEO databases. We employed univariate regression and LASSO-Cox stepwise regression analysis to construct a BMscore model based on BMGs expression level. A nomogram combining clinical features and BMscore was constructed to predict individual survival probabilities. Further enrichment analysis and immune-related analysis were conducted to explore the enriched pathways and immune features associated with BMGs. High-risk individuals predicted by BMscore exhibited poorer overall survival, which was consistent with the validation dataset. BMscore was identified as an independent risk factor for ccRCC. Functional analysis revealed that BMGs were related to cell-matrix and tumor-associated signaling pathways. Immune profiling suggests that BMGs play a key role in immune interactions and the tumor microenvironment. BMGs serve as a novel prognostic predictor for ccRCC and play a role in the immune microenvironment and treatment response. Targeting the BM may represent an alternative therapeutic approach for ccRCC.
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Affiliation(s)
- Bowen Xia
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Worker's Stadium, Chaoyang District, Beijing, 100020, China
- Institute of Urology, Capital Medical University, Beijing, China
| | - Jingwei Wang
- Department of Occupational Medicine and Toxicology, Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Dongxu Zhang
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Worker's Stadium, Chaoyang District, Beijing, 100020, China
- Institute of Urology, Capital Medical University, Beijing, China
| | - Xiaopeng Hu
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Worker's Stadium, Chaoyang District, Beijing, 100020, China.
- Institute of Urology, Capital Medical University, Beijing, China.
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Gu Y, Li J, Guan H, Sun C. Prognostic and immunological values of SKA3 for overall survival in lung adenocarcinoma and its RNA binding protein involved mechanisms. J Chemother 2023:1-14. [PMID: 38146901 DOI: 10.1080/1120009x.2023.2298153] [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: 03/23/2023] [Accepted: 12/15/2023] [Indexed: 12/27/2023]
Abstract
This article aimed to investigate the correlations among SKA3 expression and prognosis, clinical relevance, tumor immunity, and RNA-binding protein (RBP)-involved mechanisms for overall survival (OS) in lung adenocarcinoma (LUAD). To explore the SKA3 expression level in LUAD by analyzing the genomic data as well as related clinical characteristics from the database of TCGA. Nomogram and gene set enrichment analysis (GSEA) were applied, respectively, to evaluate the performance of SKA3 in LUAD. Correlations between SKA3 and immunity and RBP-involved mechanisms were also performed. SKA3 had a higher expression level in LUAD samples than in adjacent normal lung samples, with shorter survival times in the high-SKA3-expressed LUAD subgroup (P < 0.05). qRT-PCR results remained consistent (P < 0.05). Uni-/multivariate Cox analyses revealed that SKA3 could have independent prognostic ability for LUAD (both P < 0.05). The nomogram model constructed with clinical pathological parameters and SKA3 expression levels predicted OS rates for LUAD and GSEA revealed SKA3-related pathways. In aspects of tumor immunity, SKA3 was significantly involved with tumor neoantigen burden, tumor mutational burden, immune cell pathways, and immune checkpoint inhibitor (ICI) molecules (all P < 0.05). The CellMiner database also found significant correlations between SKA3 and the antitumor drug sensitivity of chemotherapy, fenretinide, and PX-316. Besides, a total of nine LncRNA/RBP/SKA3 networks were revealed in LUAD for their RBP-involved mechanisms. SKA3 could serve as a potential biomarker for OS prognosis and immunotherapy in LUAD. LncRNA/RBP/SKA3 networks were identified in LUAD for their RBP-involved mechanisms, paving the way for further experimental verifications.
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Affiliation(s)
- Yinfeng Gu
- Department of Thoracic Surgery, Jianhu People's Hospital, Yancheng, Jiangsu, China
- Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Jinjin Li
- Department of Thoracic Surgery, Jianhu People's Hospital, Yancheng, Jiangsu, China
| | - Hongjun Guan
- Department of Thoracic Surgery, Jianhu People's Hospital, Yancheng, Jiangsu, China
| | - Changpeng Sun
- Department of Thoracic Surgery, Jianhu People's Hospital, Yancheng, Jiangsu, China
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de Vries-Brilland M, Rioux-Leclercq N, Meylan M, Dauvé J, Passot C, Spirina-Menand E, Flippot R, Fromont G, Gravis G, Geoffrois L, Chevreau C, Rolland F, Blanc E, Lefort F, Ravaud A, Gross-Goupil M, Escudier B, Negrier S, Albiges L. Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma. J Immunother Cancer 2023; 11:e006885. [PMID: 37935564 PMCID: PMC10649801 DOI: 10.1136/jitc-2023-006885] [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] [Accepted: 10/19/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Papillary renal cell carcinoma (pRCC) is the most common non-clear cell RCC, and associated with poor outcomes in the metastatic setting. In this study, we aimed to comprehensively evaluate the immune tumor microenvironment (TME), largely unknown, of patients with metastatic pRCC and identify potential therapeutic targets. METHODS We performed quantitative gene expression analysis of TME using Microenvironment Cell Populations-counter (MCP-counter) methodology, on two independent cohorts of localized pRCC (n=271 and n=98). We then characterized the TME, using immunohistochemistry (n=38) and RNA-sequencing (RNA-seq) (n=30) on metastatic pRCC from the prospective AXIPAP trial cohort. RESULTS Unsupervised clustering identified two "TME subtypes", in each of the cohorts: the "immune-enriched" and the "immune-low". Within AXIPAP trial cohort, the "immune-enriched" cluster was significantly associated with a worse prognosis according to the median overall survival to 8 months (95% CI, 6 to 29) versus 37 months (95% CI, 20 to NA, p=0.001). The two immune signatures, Teff and JAVELIN Renal 101 Immuno signature, predictive of response to immune checkpoint inhibitors (CPI) in clear cell RCC, were significantly higher in the "immune-enriched" group (adjusted p<0.05). Finally, five differentially overexpressed genes were identified, corresponding mainly to B lymphocyte populations. CONCLUSION For the first time, using RNA-seq and immunohistochemistry, we have highlighted a specific immune TME subtype of metastatic pRCC, significantly more infiltrated with T and B immune population. This "immune-enriched" group appears to have a worse prognosis and could have a potential predictive value for response to immunotherapy, justifying the confirmation of these results in a cohort of metastatic pRCC treated with CPI and in combination with targeted therapies. TRIAL REGISTRATION NUMBER NCT02489695.
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Affiliation(s)
- Manon de Vries-Brilland
- Department of Medical Oncology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | | | - Maxime Meylan
- Equipe inflammation, complément et cancer, Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université Paris-Cité, Paris, France
| | - Jonathan Dauvé
- Department of Clinical Biology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | - Christophe Passot
- Department of Clinical Biology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | - Elena Spirina-Menand
- Department of Clinical Biology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | - Ronan Flippot
- Medical Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | | | | | - Lionnel Geoffrois
- Department of Medical Oncology, Institut de Cancérologie de Lorraine, Vandoeuvre-les-Nancy, France
| | - Christine Chevreau
- Department of Medical Oncology, IUCT-Oncopôle Institut Claudius Regaud, Toulouse, France
| | - Fréderic Rolland
- Department of Medical Oncology, Integrated Centers of Oncology (ICO) René Gauducheau, Nantes, France
| | - Ellen Blanc
- Department of Clinical Research and Innovation, Centre Léon Bérard, Lyon, France
| | - Félix Lefort
- Department of Medical Oncology, University Hospital of Bordeaux, Bordeaux, France
| | - Alain Ravaud
- Department of Medical Oncology, University Hospital of Bordeaux, Bordeaux, France
| | - Marine Gross-Goupil
- Department of Medical Oncology, University Hospital of Bordeaux, Bordeaux, France
| | - Bernard Escudier
- Medical Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
- U1015 INSERM, Gustave Roussy Cancer Campus, Paris-Saclay University, Villejuif, France
| | - Sylvie Negrier
- Department of Medical Oncology, Lyon I University, Lyon, France
| | - Laurence Albiges
- Medical Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
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Hu H, Wang Y, Liu Y, Zhang C, Li G, Zhang T, Dong B. Comprehensive Analysis of ADAMTS Gene Family in Renal Clear Cell Carcinoma and ADAMTS10 Research Combining Magnetic Resonance Imaging. Mol Biotechnol 2023:10.1007/s12033-023-00915-8. [PMID: 37861954 DOI: 10.1007/s12033-023-00915-8] [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: 08/03/2023] [Accepted: 09/19/2023] [Indexed: 10/21/2023]
Abstract
Clear cell renal carcinoma (ccRCC) is one of the cancers that posed a severe threat to human life on a global scale. The ADAMTS family has been proven to be involved in a number of tumor types, although it is yet unknown how they relate to ccRCC. The mRNA expression matrix and other clinically relevant information of 607 ccRCC were sourced from TCGA database. The role of ADAMTS family genes in ccRCC was determined by differential gene expression analysis and gene set enrichment analysis (GSEA). Employing stage grading, gene mutation, and survival analysis, the genes most linked to the prognosis of ccRCC were identified. The influence of genes on the pathway was determined by Kyoto Encyclopedia of Genes and Genes (KEGG) analysis. Following that, the gene's impact on ccRCC was verified by qRT-PCR, WB, MTT, Transwell detection, and a wound healing assay. Bioinformatics analysis showed that ADAMTS10 was overexpressed in cancerous tissues of people with ccRCC and its expression increased with tumor grade. Mutation analysis showed that the main cause of mutation in the ADAMTS family gene was amplification. The prognosis and survival of the ADAMTS10 elevated expression group were lower than those of the poorly expressed group, as demonstrated by a survival analysis. On the basis of the findings of MRI, we examined 60 clinical patients and collected their cancer along with the surrounding tissues. The results of qPCR detection showed that the expression of ADAMTS10 was considerably higher in cancerous regions of 60 clinical users than it was in the tissues nearby. Inhibiting ADAMTS10 development prevents cancer cells from proliferating, invading, and migrating. The KEGG analysis links ADAMTS10 to the NF-κB signal pathway. WB experiment confirmed that inhibiting ADAMTS10 expression can inhibit the activation of the NF-κB signal pathway. ADAMTS10 may be a promising prognostic marker for ccRCC that can be employed independently.
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Affiliation(s)
- Haifeng Hu
- Department of Magnetic Resonance Imaging, The Second Affiliated Hospital of Qiqihar Medical College, 64 Zhonghua Xi Lu, Jianhua District, Qiqihar City, Heilongjiang Province, China.
| | - Ying Wang
- Department of Ultrasound, The Second Affiliated Hospital of Qiqihar Medical College, Qiqihar City, China
| | - Ying Liu
- Department of Magnetic Resonance Imaging, The Second Affiliated Hospital of Qiqihar Medical College, 64 Zhonghua Xi Lu, Jianhua District, Qiqihar City, Heilongjiang Province, China
| | - Chunyu Zhang
- Department of Magnetic Resonance Imaging, The Second Affiliated Hospital of Qiqihar Medical College, 64 Zhonghua Xi Lu, Jianhua District, Qiqihar City, Heilongjiang Province, China
| | - Guoan Li
- Department of Magnetic Resonance Imaging, The Second Affiliated Hospital of Qiqihar Medical College, 64 Zhonghua Xi Lu, Jianhua District, Qiqihar City, Heilongjiang Province, China
| | - Tianyu Zhang
- Department of Imaging, The Second Affiliated Hospital of Qiqihar Medical College, Qiqihar City, China
| | - Bo Dong
- Department of Urology, The Second Affiliated Hospital of Qiqihar Medical College, Qiqihar City, China
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Huang Y, Deng S, Jiang Q, Shi J. LncRNA RARA-AS1 could serve as a novel prognostic biomarker in pan-cancer and promote proliferation and migration in glioblastoma. Sci Rep 2023; 13:17376. [PMID: 37833349 PMCID: PMC10575974 DOI: 10.1038/s41598-023-44677-4] [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] [Received: 08/09/2023] [Accepted: 10/11/2023] [Indexed: 10/15/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) have emerged as crucial regulators of cancer progression and are potential biomarkers for diagnosis and treatment. This study investigates the role of RARA Antisense RNA 1 (RARA-AS1) in cancer and its implications for diagnosis and treatment. Various bioinformatics tools were conducted to analyze the expression patterns, immune-related functions, methylation, and gene expression correlations of RARA-AS1, mainly including the comparisons of different subgroups and correlation analyses between RARA-AS1 expression and other factors. Furthermore, we used short hairpin RNA to perform knockdown experiments, investigating the effects of RARA-AS1 on cell proliferation, invasion, and migration in glioblastoma. Our results revealed that RARA-AS1 has distinct expression patterns in different cancers and exhibits notable correlation with prognosis. Additionally, RARA-AS1 is highly correlated with certain immune checkpoints and mismatch repair genes, indicating its potential role in immune infiltration and related immunotherapy. Further analysis identified potential effective drugs for RARA-AS1 and demonstrated its potential RNA binding protein (RBP) mechanism in glioblastoma. Besides, a series of functional experiments indicated inhibiting RARA-AS1 could decrease cell proliferation, invasion, and migration of glioblastoma cell lines. Finally, RARA-AS1 could act as an independent prognostic factor for glioblastoma patients and may serve as a promising therapeutic target. All in all, Our study provides a comprehensive understanding of the functions and implications of RARA-AS1 in pan-cancer, highlighting it as a promising biomarker for survival. It is also an independent risk factor affecting prognosis in glioblastoma and an important factor affecting proliferation and migration in glioblastoma, setting the stage for further mechanistic investigations.
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Affiliation(s)
- Yue Huang
- Department of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, No. 20 West Temple Road, Nantong, 226001, Jiangsu, China
| | - Song Deng
- Department of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, No. 20 West Temple Road, Nantong, 226001, Jiangsu, China
| | - Qiaoji Jiang
- Department of Neurosurgery, Affiliated Yancheng Clinical College of Xuzhou Medical University, Yancheng, 224000, Jiangsu, China
| | - Jinlong Shi
- Department of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, No. 20 West Temple Road, Nantong, 226001, Jiangsu, China.
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9
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Wang Y, Zhang X, Chen G, Xing Q, Zhu B, Wang X. Integrated analyses reveal the prognostic, immunological features and mechanisms of cuproptosis critical mediator gene FDX1 in KIRC. Genes Immun 2023; 24:171-182. [PMID: 37430022 DOI: 10.1038/s41435-023-00211-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/25/2023] [Accepted: 06/29/2023] [Indexed: 07/12/2023]
Abstract
The ferredoxin 1 (FDX1) gene had been recently reported as a critical mediator of cuproptosis, and without doubt, its roles in KIRC would be of importance. Hence, this paper was to explore the roles of FDX1 in kidney renal clear cell carcinoma (KIRC) and its potential molecular mechanisms via scRNA-sequencing and bulk RNA-sequencing analyses. FDX1 was lowly expressed in KIRC and validated both at the protein and mRNA levels (all p < 0.05). Moreover, its elevated expression was linked with a better overall survival (OS) prognosis in KIRC (p < 0.01). The independent impact of FDX1 on KIRC prognosis was demonstrated by univariate/multivariate regression analysis (p < 0.01). Gene set enrichment analysis (GSEA) identified seven pathways strongly associated with FDX1 in KIRC. Furthermore, FDX1 was also revealed to be significantly related with immunity (p < 0.05). In addition, patients with low expression of FDX1 might be more sensitive to immunotherapies. ScRNA-seq analysis found that FDX1 could be expressed in immune cells and was mainly differently expressed in Mono/Macro cells. Ultimately, we also identified several LncRNA/RBP/FDX1 mRNA networks to reveal its underlying mechanisms in KIRC. Taken together, FDX1 was closely related to prognosis and immunity in KIRC, and its RBP-involved mechanisms of LncRNA/RBP/FDX1 networks were also revealed by us.
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Affiliation(s)
- Yi Wang
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China
- Department of Urology, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu Province, China
| | - Xinyu Zhang
- Department of Urology, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu Province, China
| | - Guihua Chen
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China
| | - Qianwei Xing
- Department of Urology, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu Province, China
| | - Bingye Zhu
- Department of Urology, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, 226001, Jiangsu Province, China.
| | - Xiang Wang
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
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Wang J, Tu W, Qiu J, Wang D. Predicting prognosis and immunotherapeutic response of clear cell renal cell carcinoma. Front Pharmacol 2022; 13:984080. [PMID: 36313281 PMCID: PMC9614164 DOI: 10.3389/fphar.2022.984080] [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: 07/01/2022] [Accepted: 09/21/2022] [Indexed: 11/30/2022] Open
Abstract
Immune checkpoint inhibitors have emerged as a novel therapeutic strategy for many different tumors, including clear cell renal cell carcinoma (ccRCC). However, these drugs are only effective in some ccRCC patients, and can produce a wide range of immune-related adverse reactions. Previous studies have found that ccRCC is different from other tumors, and common biomarkers such as tumor mutational burden, HLA type, and degree of immunological infiltration cannot predict the response of ccRCC to immunotherapy. Therefore, it is necessary to further research and construct corresponding clinical prediction models to predict the efficacy of Immune checkpoint inhibitors. We integrated PBRM1 mutation data, transcriptome data, endogenous retrovirus data, and gene copy number data from 123 patients with advanced ccRCC who participated in prospective clinical trials of PD-1 inhibitors (including CheckMate 009, CheckMate 010, and CheckMate 025 trials). We used AI to optimize mutation data interpretation and established clinical prediction models for survival (for overall survival AUC: 0.931; for progression-free survival AUC: 0.795) and response (ORR AUC: 0.763) to immunotherapy of ccRCC. The models were internally validated by bootstrap. Well-fitted calibration curves were also generated for the nomogram models. Our models showed good performance in predicting survival and response to immunotherapy of ccRCC.
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Zhou T, Chen W, Wu Z, Cai J, Zhou C. A newly defined basement membrane-related gene signature for the prognosis of clear-cell renal cell carcinoma. Front Genet 2022; 13:994208. [PMID: 36186476 PMCID: PMC9520985 DOI: 10.3389/fgene.2022.994208] [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: 07/14/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Basement membranes (BMs) are associated with cell polarity, differentiation, migration, and survival. Previous studies have shown that BMs play a key role in the progression of cancer, and thus could serve as potential targets for inhibiting the development of cancer. However, the association between basement membrane-related genes (BMRGs) and clear cell renal cell carcinoma (ccRCC) remains unclear. To address that gap, we constructed a novel risk signature utilizing BMRGs to explore the relationship between ccRCC and BMs.Methods: We gathered transcriptome and clinical data from The Cancer Genome Atlas (TCGA) and randomly separated the data into training and test sets to look for new potential biomarkers and create a predictive signature of BMRGs for ccRCC. We applied univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses to establish the model. The risk signature was further verified and evaluated through principal component analysis (PCA), the Kaplan-Meier technique, and time-dependent receiver operating characteristics (ROC). A nomogram was constructed to predict the overall survival (OS). The possible biological pathways were investigated through functional enrichment analysis. In this study, we also determined tumor mutation burden (TMB) and performed immunological analysis and immunotherapeutic drug analysis between the high- and low-risk groups.Results: We identified 33 differentially expressed genes and constructed a risk model of eight BMRGs, including COL4A4, FREM1, CSPG4, COL4A5, ITGB6, ADAMTS14, MMP17, and THBS4. The PCA analysis showed that the signature could distinguish the high- and low-risk groups well. The K-M and ROC analysis demonstrated that the model could predict the prognosis well from the areas under the curves (AUCs), which was 0.731. Moreover, the nomogram showed good predictability. Univariate and multivariate Cox regression analysis validated that the model results supported the hypothesis that BMRGs were independent risk factors for ccRCC. Furthermore, immune cell infiltration, immunological checkpoints, TMB, and the half-inhibitory concentration varied considerably between high- and low-risk groups.Conclusion: Employing eight BMRGs to construct a risk model as a prognostic indicator of ccRCC could provide us with a potential progression trajectory as well as predictions of therapeutic response.
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Affiliation(s)
- Tao Zhou
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weikang Chen
- Department of Reproductive Endocrinology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhigang Wu
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhigang Wu, ; Jian Cai, ; Chaofeng Zhou,
| | - Jian Cai
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhigang Wu, ; Jian Cai, ; Chaofeng Zhou,
| | - Chaofeng Zhou
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhigang Wu, ; Jian Cai, ; Chaofeng Zhou,
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