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Sun W, Guo L, Ye J, Zhou M, Shu C, Ying X, Liu H, Liu F. Construction and experimental verification of a novel nine-glycosylation-related gene prognostic risk model for clear cell renal carcinoma. Heliyon 2024; 10:e39258. [PMID: 39524749 PMCID: PMC11544054 DOI: 10.1016/j.heliyon.2024.e39258] [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: 06/23/2024] [Revised: 09/20/2024] [Accepted: 10/10/2024] [Indexed: 11/16/2024] Open
Abstract
Objective Patients with clear cell renal carcinoma (ccRCC) typically have poor prognosis. Glycosylation modification plays an important role in ccRCC. This study aimed to develop a novel signature for predicting ccRCC prognosis based on glycosylation-related genes (GRGs). Methods Differentially expressed GRGs (DE_GRGs) were identified using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus and used for constructing the risk model. The function of key genes was validated. Results Twenty-two DE_GRGs were intersected between GSE53757 and TCGA. Patients with ccRCC were divided into two clusters based on the expression profile of these DE_GRGs. Significant differences in the infiltration of 10 immune cell types were observed between two subclusters. Subsequently, the prognostic signatures of nine DE_GRGs (CHST9, COLGALT1, FUT3, FUT6, HS3ST2, POMGNT2, ST8SIA4, UGT3A1, and UGT8) were established. Patients in the high-risk group showed a poorer prognosis relative to the low-risk group. According to univariate and multivariate Cox regression analyses, the risk score, stage, and grade could be independent prognostic factors. A nomogram incorporating information on gender, age, risk group, TNM stage, and clinical stage showed accurate prediction in the survival probability. Except for CHST9, HS3ST2, and ST8SIA4, expression patterns of the remaining 6 DE_GRGs in Caki-1 and 786-O cells were confirmed by quantitative real-time PCR. FUT6 overexpression resulted in the inhibition of proliferation, migration, and invasion of ccRCC cells. Conclusion This study established a nine-DE_GRG-based prognostic signature, which independently predicted ccRCC prognosis. This finding emphasizes that GRGs are stratification factors for the precise prognosis of ccRCC.
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Affiliation(s)
- Wanlei Sun
- Department of Clinical Laboratory, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Long Guo
- Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Jianqing Ye
- Department of Clinical Laboratory, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Min Zhou
- Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Cong Shu
- Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Xin Ying
- Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Hongliang Liu
- Department of General surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fei Liu
- Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi Province, China
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Lei C, Li Y, Yang H, Zhang K, Lu W, Wang N, Xuan L. Unraveling breast cancer prognosis: a novel model based on coagulation-related genes. Front Mol Biosci 2024; 11:1394585. [PMID: 38751445 PMCID: PMC11094261 DOI: 10.3389/fmolb.2024.1394585] [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: 03/01/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Objective Breast cancer is highly heterogeneous, presenting challenges in prognostic assessment. Developing a universally applicable prognostic model could simplify clinical decision-making. This study aims to develop and validate a novel breast cancer prognosis model using coagulation-related genes with broad clinical applicability. Methods A total of 203 genes related to coagulation were obtained from the KEGG database, and the mRNA data of 1,099 tumor tissue samples and 572 samples of normal tissue were retrieved from the TCGA-BRCA cohort and GTEx databases. The R package "limma" was utilized to detect variations in gene expression related to coagulation between the malignancies and normal tissue. A model was constructed in the TCGA cohort through a multivariable Cox regression analysis, followed by validation using the GSE42568 dataset as the testing set. Constructing a nomogram incorporating clinical factors to enhance the predictive capacity of the model. Utilizing the ESTIMATE algorithm to investigate the immune infiltration levels in groups with deferent risk. Performing drug sensitivity analysis using the "oncoPredict" package. Results A risk model consisting of six coagulation-associated genes (SERPINA1, SERPINF2, C1S, CFB, RASGRP1, and TLN2) was created and successfully tested for validation. Identified were 6 genes that serve as protective factors in the model's development. Kaplan-Meier curves revealed a worse prognosis in the high-risk group compared to the low-risk group. The ROC analysis showed that the model accurately forecasted the overall survival (OS) of breast cancer patients at 1, 3, and 5 years. Nomogram accompanied by calibration curves can also provide better guidance for clinical decision-making. The low-risk group is more likely to respond well to immunotherapy, whereas the high-risk group may show improved responses to Gemcitabine treatment. Furthermore, individuals in distinct risk categories displayed different responses to various medications within the identical therapeutic category. Conclusion We established a breast cancer prognostic model incorporating six coagulation-associated genes and explored its clinical utility. This model offers valuable insights for clinical decision-making and drug selection in breast cancer patients, contributing to personalized and precise treatment advancements.
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Affiliation(s)
- Chuqi Lei
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hosipital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Li
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hosipital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huaiyu Yang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hosipital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ke Zhang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hosipital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Lu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hosipital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nianchang Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hosipital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lixue Xuan
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hosipital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhang Q, Ren H, Ge L, Zhang W, Song F, Huang P. A review on the role of long non-coding RNA and microRNA network in clear cell renal cell carcinoma and its tumor microenvironment. Cancer Cell Int 2023; 23:16. [PMID: 36732762 PMCID: PMC9893571 DOI: 10.1186/s12935-023-02861-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 01/28/2023] [Indexed: 02/04/2023] Open
Abstract
Renal cell carcinoma (RCC) is the second lethal urogenital malignancy with the increasing incidence and mortality in the world. Clear cell renal cell carcinoma (ccRCC) is one major subtype of RCC, which accounts for about 70 to 80% of all RCC cases. Although many innovative therapeutic options have emerged during the last few decades, the efficacy of these treatments for ccRCC patients is very limited. To date, the prognosis of patients with advanced or metastatic ccRCC is still poor. The 5-year survival rate of these patients remains less than 10%, which mainly attributes to the complexity and heterogeneity of the tumor microenvironment (TME). It has been demonstrated that long non-coding RNAs (lncRNAs) perform an indispensable role in the initiation and progression of various tumors. They mostly function as sponges for microRNAs (miRNAs) to regulate the expression of target genes, finally influence the growth, metastasis, apoptosis, drug resistance and TME of tumor cells. However, the role of lncRNA/miRNA/mRNA axis in the TME of ccRCC remains poorly understood. In this review, we summarized the biological function of lncRNA/miRNA/mRNA axis in the pathogenesis of ccRCC, then discussed how lncRNA/miRNA/mRNA axis regulate the TME, finally highlighted their potential application as novel biomarkers and therapeutic targets for ccRCC.
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Affiliation(s)
- Qi Zhang
- grid.469325.f0000 0004 1761 325XDepartment of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China ,Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Hao Ren
- grid.469325.f0000 0004 1761 325XDepartment of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China ,Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Luqi Ge
- grid.469325.f0000 0004 1761 325XDepartment of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China ,Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Wen Zhang
- grid.469325.f0000 0004 1761 325XDepartment of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Feifeng Song
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China ,Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, China
| | - Ping Huang
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China ,Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, China
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Wang J, Chen S, Wang H, Cao J, Fan X, Man J, Li Q, Yang L. Integrated molecular analyses of an interferon-γ based subtype with regard to outcome, immune characteristics, and immunotherapy in bladder cancer and experimental verification. Heliyon 2022; 8:e12102. [PMID: 36582677 PMCID: PMC9792807 DOI: 10.1016/j.heliyon.2022.e12102] [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: 08/31/2022] [Revised: 10/27/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
This study attempted to explore the role of interferon-γ related genes (IRGs) in the prognosis and immunotherapy of bladder cancer (BC). Based on data downloaded from public databases, molecular subtypes with different IRG expression patterns were determined via nonnegative matrix factorization clustering. On the basis of IRGs, interferon-γ related gene signature (IRGS) was developed through Cox regression analyses. We identified that two molecular subgroups with different outcome and immune profiles. It was proved that IRGS possessed prediction efficiency for BC prognosis. Compared with low IRGS group, high IRGS group was related to less anti-cancer immune cells infiltration, less tumor mutation burden score, more cancer stem cell index, and less benefit from immunotherapy. Differential expression of six model genes (IRF5, LATS2, MTHFD2, VAMP8, HLA-G and PTPN6) was validated between paired tissues by RT-qPCR. This study presents a prognostic model, which could serve as an indicator for the benefit of BC immunotherapy.
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Affiliation(s)
- Jirong Wang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Siyu Chen
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Huabin Wang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Jinlong Cao
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Xinpeng Fan
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Jiangwei Man
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Qingchao Li
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Li Yang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, Gansu, People's Republic of China
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Zhang C, Li Y, Qian J, Zhu Z, Huang C, He Z, Zhou L, Gong Y. Identification of a claudin-low subtype in clear cell renal cell carcinoma with implications for the evaluation of clinical outcomes and treatment efficacy. Front Immunol 2022; 13:1020729. [PMID: 36479115 PMCID: PMC9719924 DOI: 10.3389/fimmu.2022.1020729] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 11/01/2022] [Indexed: 11/22/2022] Open
Abstract
Background In bladder and breast cancer, the claudin-low subtype is widely identified, revealing a distinct tumor microenvironment (TME) and immunological feature. Although we have previously identified individual claudin members as prognostic biomarkers in clear cell renal cell carcinoma (ccRCC), the existence of an intrinsic claudin-low subtype and its interplay with TME and clinical outcomes remains unclear. Methods Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA)- kidney clear cell carcinoma (KIRC) cohort and E-MTAB-1980 were derived as the training and validation cohorts, respectively. In addition, GSE40435, GSE53757, International Cancer Genome Consortium (ICGC) datasets, and RNA-sequencing data from local ccRCC patients were utilized as validation cohorts for claudin clustering based on silhouette scores. Using weighted correlation network analysis (WGCNA) and multiple machine learning algorithms, including least absolute shrinkage and selection operator (LASSO), CoxBoost, and random forest, we constructed a claudin-TME related (CTR) risk signature. Furthermore, the CTR associated genomic characteristics, immunity, and treatment sensitivity were evaluated. Results A claudin-low phenotype was identified and associated with an inferior survival and distinct TME and cancer immunity characteristics. Based on its interaction with TME, a risk signature was developed with robust prognostic prediction accuracy. Moreover, we found its association with a claudin-low, stem-like phenotype and advanced clinicopathological features. Intriguingly, it was also effective in kidney chromophobe and renal papillary cell carcinoma. The high CTR group exhibited genomic characteristics similar to those of claudin-low phenotype, including increased chromosomal instability (such as deletions at 9p) and risk genomic alterations (especially BAP1 and SETD2). In addition, a higher abundance of CD8 T cells and overexpression of immune checkpoints, such as LAG3, CTLA4 and PDCD1, were identified in the high CTR group. Notably, ccRCC patients with high CTR were potentially more sensitive to immune checkpoint inhibitors; their counterparts could have more clinical benefits when treated with antiangiogenic drugs, mTOR, or HIF inhibitors. Conclusion We comprehensively evaluated the expression features of claudin genes and identified a claudin-low phenotype in ccRCC. In addition, its related signature could robustly predict the prognosis and provide guide for personalizing management strategies.
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Affiliation(s)
- Cuijian Zhang
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China
| | - Yifan Li
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China
| | - Jinqin Qian
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China
| | - Zhenpeng Zhu
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China
| | - Cong Huang
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China
| | - Zhisong He
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China
| | - Yanqing Gong
- Department of Urology, Peking University First Hospital, Beijing, China,Institute of Urology, Peking University, Beijing, China,National Urological Cancer Center, Peking University First Hospital, Beijing, China,*Correspondence: Yanqing Gong,
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Ye J, Yang P, Yang Y, Xia S. Complement C1s as a diagnostic marker and therapeutic target: Progress and propective. Front Immunol 2022; 13:1015128. [PMID: 36275687 PMCID: PMC9582509 DOI: 10.3389/fimmu.2022.1015128] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/21/2022] [Indexed: 11/13/2022] Open
Abstract
The molecules of the complement system connect the effectors of innate and adaptive immunity and play critical roles in maintaining homeostasis. Among them, the C1 complex, composed of C1q, C1r, and C1s (C1qr2s2), is the initiator of the classical complement activation pathway. While deficiency of C1s is associated with early-onset systemic lupus erythematosus and increased susceptibility to bacteria infections, the gain-of- function variants of C1r and C1s may lead to periodontal Ehlers Danlos syndrome. As C1s is activated under various pathological conditions and associated with inflammation, autoimmunity, and cancer development, it is becoming an informative biomarker for the diagnosis and treatment of a variety of diseases. Thus, more sensitive and convenient methods for assessing the level as well as activity of C1s in clinic samples are highly desirable. Meanwhile, a number of small molecules, peptides, and monoclonal antibodies targeting C1s have been developed. Some of them are being evaluated in clinical trials and one of the antibodies has been approved by US FDA for the treatment of cold agglutinin disease, an autoimmune hemolytic anemia. In this review, we will summarize the biological properties of C1s, its association with development and diagnosis of diseases, and recent progress in developing drugs targeting C1s. These progress illustrate that the C1s molecule is an effective biomarker and promising drug target.
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Affiliation(s)
- Jun Ye
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, China
- Center for Translational Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, China
| | - Peng Yang
- Department of Emergency Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yili Yang
- China Regional Research Centre, International Centre of Genetic Engineering and Biotechnology, Taizhou, China
| | - Sheng Xia
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, China
- *Correspondence: Sheng Xia,
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Gu C, Lin C, Zhu Z, Hu L, Wang F, Wang X, Ruan J, Zhao X, Huang S. The IFN-γ-related long non-coding RNA signature predicts prognosis and indicates immune microenvironment infiltration in uterine corpus endometrial carcinoma. Front Oncol 2022; 12:955979. [PMID: 35957871 PMCID: PMC9360323 DOI: 10.3389/fonc.2022.955979] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 06/30/2022] [Indexed: 12/01/2022] Open
Abstract
Background One of the most common diseases that have a negative impact on women’s health is endometrial carcinoma (EC). Advanced endometrial cancer has a dismal prognosis and lacks solid prognostic indicators. IFN-γ is a key cytokine in the inflammatory response, and it has also been suggested that it has a role in the tumor microenvironment. The significance of IFN-γ-related genes and long non-coding RNAs in endometrial cancer, however, is unknown. Methods The Cancer Genome Atlas (TCGA) database was used to download RNA-seq data from endometrial cancer tissues and normal controls. Genes associated with IFN-γ were retrieved from the gene set enrichment analysis (GSEA) website. Co-expression analysis was performed to find lncRNAs linked to IFN-γ gene. The researchers employed weighted co-expression network analysis (WGCNA) to find lncRNAs that were strongly linked to survival. The prognostic signature was created using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression. The training cohort, validation cohort, and entire cohort of endometrial cancer patients were then split into high-risk and low-risk categories. To investigate variations across different risk groups, we used survival analysis, enrichment analysis, and immune microenvironment analysis. The platform for analysis is R software (version X64 3.6.1). Results Based on the transcript expression of IFN-γ-related lncRNAs, two distinct subgroups of EC from TCGA cohort were formed, each with different outcomes. Ten IFN-γ-related lncRNAs were used to build a predictive signature using Cox regression analysis and the LASSO regression, including CFAP58, LINC02014, UNQ6494, AC006369.1, NRAV, BMPR1B-DT, AC068134.2, AP002840.2, GS1-594A7.3, and OLMALINC. The high-risk group had a considerably worse outcome (p < 0.05). In the immunological microenvironment, there were also substantial disparities across different risk categories. Conclusion Our findings give a reference for endometrial cancer prognostic type and immunological status assessment, as well as prospective molecular markers for the disease.
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Affiliation(s)
- Chunyan Gu
- Department of Obstetrics and Gynecology, Nantong Haimen People’s Hospital, Nantong, China
| | - Chen Lin
- Vectors and Parasitosis Control and Prevention Section, Center of Disease Prevention and Control in Pudong New Area of Shanghai, Shanghai, China
| | - Zheng Zhu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Hu
- Department of Medicine, Kangda College of Nanjing Medical University, Lianyungang, China
| | - Fengxu Wang
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Xuehai Wang
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Junpu Ruan
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Xinyuan Zhao
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
- *Correspondence: Xinyuan Zhao, ; Sen Huang,
| | - Sen Huang
- Department of Obstetrics and Gynecology, Nantong Haimen People’s Hospital, Nantong, China
- *Correspondence: Xinyuan Zhao, ; Sen Huang,
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Ren J, Yuan Q, Liu J, Zhong L, Li H, Wu G, Chen F, Tang Q. Identifying the role of transient receptor potential channels (TRPs) in kidney renal clear cell carcinoma and their potential therapeutic significances using genomic and transcriptome analyses. BMC Med Genomics 2022; 15:156. [PMID: 35831825 PMCID: PMC9277847 DOI: 10.1186/s12920-022-01312-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 07/08/2022] [Indexed: 11/17/2022] Open
Abstract
Kidney renal clear cell carcinoma (KIRC) is among the major causes of cancer-caused mortality around the world. Transient receptor potential channels (TRPs), due to their role in various human diseases, might become potential drug targets in cancer. The mRNA expression, copy number variation, single-nucleotide variation, prognostic values, drug sensitivity, and pathway regulation of TRPs were studied across cancer types. The ArrayExpress and The Cancer Genome Atlas (TCGA) databases were used to retrieve KIRC samples. Simultaneously, training, internal, and external cohorts were grouped. In KIRC, a prognostic signature with superior survival prediction in contrast with other well-established signatures was created after a stepwise screening of optimized genes linked to TRPs using univariate Cox, weighted gene co-expression network analysis, multivariate Cox, and least absolute shrinkage and selection operator regression analyses. Subsequent to the determination of risk levels, the variations in the expression of immune checkpoint genes, tumor mutation burden, and immune subtypes and response between low-risk and high-risk subgroups were studied using a variety of bioinformatics algorithms, including ESTIMATE, XCELL, EPIC, CIBERSORT-ABS, CIBERSORT, MCPCOUNTER, TIMER, and QUANTISEQ. Gene set enrichment analysis helped in the identification of abnormal pathways across the low- and high-risk subgroups. Besides, high-risk KIRC patients might benefit from ABT888, AZD6244, AZD7762, Bosutinib, Camptothecin, CI1040, JNK inhibitor VIII, KU55933, Lenalidomide, Nilotinib, PLX4720, RO3306, Vinblastine, and ZM.447439; however, low-risk populations might benefit from Bicalutamide, FH535, and OSI906. Finally, calibration curves were used to validate the nomogram with a satisfactory predictive survival probability. In conclusion, this research provides useful insight that can aid and guide clinical practice and scientific research.
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Affiliation(s)
- Jie Ren
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Qihang Yuan
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Jifeng Liu
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lei Zhong
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Hanshuo Li
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Guangzhen Wu
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
| | - Feng Chen
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
| | - Qizhen Tang
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
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