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Coelho JQ, Ramos MJ, Ranchor R, Pichel R, Guerra L, Miranda H, Simões J, Azevedo SX, Febra J, Araújo A. What's new about the tumor microenvironment of urothelial carcinoma? Clin Transl Oncol 2024; 26:1549-1560. [PMID: 38332225 DOI: 10.1007/s12094-024-03384-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 01/04/2024] [Indexed: 02/10/2024]
Abstract
Urothelial carcinoma is a significant global health concern that accounts for a substantial part of cancer diagnoses and deaths worldwide. The tumor microenvironment is a complex ecosystem composed of stromal cells, soluble factors, and altered extracellular matrix, that mutually interact in a highly immunomodulated environment, with a prominent role in tumor development, progression, and treatment resistance. This article reviews the current state of knowledge of the different cell populations that compose the tumor microenvironment of urothelial carcinoma, its main functions, and distinct interactions with other cellular and non-cellular components, molecular alterations and aberrant signaling pathways already identified. It also focuses on the clinical implications of these findings, and its potential to translate into improved quality of life and overall survival. Determining new targets or defining prognostic signatures for urothelial carcinoma is an ongoing challenge that could be accelerated through a deeper understanding of the tumor microenvironment.
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Affiliation(s)
| | | | - Ridhi Ranchor
- Unidade Local de Saúde de Santo António, Porto, Portugal
| | - Rita Pichel
- Unidade Local de Saúde de Santo António, Porto, Portugal
| | - Laura Guerra
- Unidade Local de Saúde de Santo António, Porto, Portugal
| | - Hugo Miranda
- Unidade Local de Saúde de Santo António, Porto, Portugal
| | - Joana Simões
- Unidade Local de Saúde de Santo António, Porto, Portugal
| | | | - Joana Febra
- Unidade Local de Saúde de Santo António, Porto, Portugal
| | - António Araújo
- Unidade Local de Saúde de Santo António, Porto, Portugal
- Oncology Research Unit, UMIB - Unit for Multidisciplinary Research in Biomedicine, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, Porto, Portugal
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Yang R, He J, Luo W, Xiang R, Zou G, Zhang X, Liu H, Deng J. Comprehensive analysis and prognostic assessment of senescence-associated genes in bladder cancer. Discov Oncol 2024; 15:130. [PMID: 38668876 PMCID: PMC11052743 DOI: 10.1007/s12672-024-00987-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 04/18/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND The prevalence and mortality of bladder cancer (BLCA) present a significant medical challenge. While the function of senescence-related genes in tumor development is recognized, their prognostic significance in BLCA has not been thoroughly explored. METHODS BLCA transcriptome datasets were sourced from the TCGA and GEO repositories. Gene groupings were determined through differential gene expression and non-negative matrix factorization (NMF) methodologies. Key senescence-linked genes were isolated using singular and multivariate Cox regression analyses, combined with lasso regression. Validation was undertaken with GEO database information. Predictive models, or nomograms, were developed by merging risk metrics with clinical records, and their efficacy was gauged using ROC curve methodologies. The immune response's dependency on the risk metric was assessed through the immune phenomenon score (IPS). Additionally, we estimated IC50 metrics for potential chemotherapeutic agents. RESULTS Reviewing 406 neoplastic and 19 standard tissue specimens from the TCGA repository facilitated the bifurcation of subjects into two unique clusters (C1 and C2) according to senescence-related gene expression. After a stringent statistical evaluation, a set of ten pivotal genes was discerned and applied for risk stratification. Validity tests for the devised nomograms in forecasting 1, 3, and 5-year survival probabilities for BLCA patients were executed via ROC and calibration plots. IC50 estimations highlighted a heightened responsiveness in the low-risk category to agents like cisplatin, cyclopamine, and sorafenib. CONCLUSIONS In summation, our research emphasizes the prospective utility of risk assessments rooted in senescence-related gene signatures for enhancing BLCA clinical oversight.
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Affiliation(s)
- Ruilin Yang
- Jinan University, 601 Huangpu Avenue West, Tianhe District, Guangzhou, 511400, China
- Andrology Clinic, The Affiliated Panyu Central Hospital of Guangzhou Medical University, 8 East Fuyu Road, Qiaonan Street, Panyu District, Guangzhou, 511400, China
| | - Jieling He
- Ultrasonography Department, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou, 511400, China
| | - Wenfeng Luo
- Central Laboratory, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou, 511400, China
| | - Renyang Xiang
- Department of Surgery, The University of HongKong-Shenzhen Hospital, Shenzhen, 518053, Guangdong, China
| | - Ge Zou
- Urology Department, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou, 511400, China
| | - Xintao Zhang
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 511400, China.
| | - Huang Liu
- National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Department of Andrology, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, China.
| | - Junhong Deng
- Department of Andrology, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
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Dong Y, Wu X, Xu C, Hameed Y, Abdel-Maksoud MA, Almanaa TN, Kotob MH, Al-Qahtani WH, Mahmoud AM, Cho WC, Li C. Prognostic model development and molecular subtypes identification in bladder urothelial cancer by oxidative stress signatures. Aging (Albany NY) 2024; 16:2591-2616. [PMID: 38305808 PMCID: PMC10911378 DOI: 10.18632/aging.205499] [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: 08/22/2023] [Accepted: 12/18/2023] [Indexed: 02/03/2024]
Abstract
BACKGROUND Mounting studies indicate that oxidative stress (OS) significantly contributes to tumor progression. Our study focused on bladder urothelial cancer (BLCA), an escalating malignancy worldwide that is growing rapidly. Our objective was to verify the predictive precision of genes associated with overall survival (OS) by constructing a model that forecasts outcomes for bladder cancer and evaluates the prognostic importance of these genetic markers. METHODS Transcriptomic data were obtained from TCGA-BLCA and GSE31684, which are components of the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), respectively. To delineate distinct molecular subtypes, we employed the non-negative matrix factorization (NMF)method. The significance of OS-associated genes in predicting outcomes was assessed using lasso regression, multivariate Cox analysis, and univariate Cox regression analysis. For external validation, we employed the GSE31684 dataset. CIBERSORT was utilized to examine the tumor immune microenvironment (TIME). A nomogram was created and verified using calibration and receiver operating characteristic (ROC) curves, which are based on risk signatures. We examined variations in clinical characteristics and tumor mutational burden (TMB) among groups classified as high-risk and low-risk. To evaluate the potential of immunotherapy, the immune phenomenon score (IPS) was computed based on the risk score. In the end, the pRRophetic algorithm was employed to forecast the IC50 values of chemotherapy medications. RESULTS In our research, we examined the expression of 275 genes associated with OS in 19 healthy and 414 cancerous tissues of the bladder obtained from the TCGA database. As a result, a new risk signature was created that includes 4 genes associated with OS (RBPMS, CRYAB, P4HB, and PDGFRA). We found two separate groups, C1 and C2, that showed notable variations in immune cells and stromal score. According to the Kaplan-Meier analysis, patients classified as high-risk experienced a considerably reduced overall survival in comparison to those categorized as low-risk (P<0.001). The predictive capability of the model was indicated by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve surpassing 0.6. Our model showed consistent distribution of samples from both the GEO database and TCGA data. Both the univariate and multivariate Cox regression analyses validated the importance of the risk score in relation to overall survival (P < 0.001). According to our research, patients with a lower risk profile may experience greater advantages from using a CTLA4 inhibitor, whereas patients with a higher risk profile demonstrated a higher level of responsiveness to Paclitaxel and Cisplatin. In addition, methotrexate exhibited a more positive outcome in patients with low risk compared to those with high risk. CONCLUSIONS Our research introduces a novel model associated with OS gene signature in bladder cancer, which uncovers unique survival results. This model can assist in tailoring personalized treatment approaches and enhancing patient therapeutic effect in the management of bladder cancer.
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Affiliation(s)
- Ying Dong
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, China
| | - Xiaoqing Wu
- Department of Oncology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chaojie Xu
- Department of Urology, Peking University First Hospital, Peking University, Beijing, China
| | - Yasir Hameed
- Department of Biochemistry, Biotechnology, The Islamia University of Bahawalpur, Pakistan
| | - Mostafa A. Abdel-Maksoud
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Taghreed N. Almanaa
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Mohamed H. Kotob
- Department of Pharmaceutical Sciences, Division of Pharmacology and Toxicology, University of Vienna, Vienna, Austria
| | - Wahidah H. Al-Qahtani
- Department of Food Sciences and Nutrition, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Ayman M. Mahmoud
- Department of Life Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
| | - William C. Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong, China
| | - Chen Li
- Department of Biology, Chemistry, Pharmacy, Free University of Berlin, Berlin, Germany
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Yue SY, Niu D, Liu XH, Li WY, Ding K, Fang HY, Wu XD, Li C, Guan Y, Du HX. BLCA prognostic model creation and validation based on immune gene-metabolic gene combination. Discov Oncol 2023; 14:232. [PMID: 38103068 PMCID: PMC10725402 DOI: 10.1007/s12672-023-00853-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/14/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Bladder cancer (BLCA) is a prevalent urinary system malignancy. Understanding the interplay of immunological and metabolic genes in BLCA is crucial for prognosis and treatment. METHODS Immune/metabolism genes were extracted, their expression profiles analyzed. NMF clustering found prognostic genes. Immunocyte infiltration and tumor microenvironment were examined. Risk prognostic signature using Cox/LASSO methods was developed. Immunological Microenvironment and functional enrichment analysis explored. Immunotherapy response and somatic mutations evaluated. RT-qPCR validated gene expression. RESULTS We investigated these genes in 614 BLCA samples, identifying relevant prognostic genes. We developed a predictive feature and signature comprising 7 genes (POLE2, AHNAK, SHMT2, NR2F1, TFRC, OAS1, CHKB). This immune and metabolism-related gene (IMRG) signature showed superior predictive performance across multiple datasets and was independent of clinical indicators. Immunotherapy response and immune cell infiltration correlated with the risk score. Functional enrichment analysis revealed distinct biological pathways between low- and high-risk groups. The signature demonstrated higher prediction accuracy than other signatures. qRT-PCR confirmed differential gene expression and immunotherapy response. CONCLUSIONS The model in our work is a novel assessment tool to measure immunotherapy's effectiveness and anticipate BLCA patients' prognosis, offering new avenues for immunological biomarkers and targeted treatments.
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Affiliation(s)
- Shao-Yu Yue
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Di Niu
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Xian-Hong Liu
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Wei-Yi Li
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Ke Ding
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Hong-Ye Fang
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Xin-Dong Wu
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China
| | - Chun Li
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China.
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China.
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China.
| | - Yu Guan
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China.
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China.
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China.
| | - He-Xi Du
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, People's Republic of China.
- Institute of Urology, Anhui Medical University, Hefei, Anhui, People's Republic of China.
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, People's Republic of China.
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Liu Y, Hu G, Li Y, Kong X, Yang K, Li Z, Lao W, Li J, Zhong J, Zhang S, Leng Y, Bi C, Zhai A. Research on the biological mechanism and potential application of CEMIP. Front Immunol 2023; 14:1222425. [PMID: 37662915 PMCID: PMC10471826 DOI: 10.3389/fimmu.2023.1222425] [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: 05/14/2023] [Accepted: 07/26/2023] [Indexed: 09/05/2023] Open
Abstract
Cell migration-inducing protein (CEMIP), also known as KIAA1199 and hyaluronan-binding protein involved in hyaluronan depolymerization, is a new member of the hyaluronidase family that degrades hyaluronic acid (HA) and remodels the extracellular matrix. In recent years, some studies have reported that CEMIP can promote the proliferation, invasion, and adhesion of various tumor cells and can play an important role in bacterial infection and arthritis. This review focuses on the pathological mechanism of CEMIP in a variety of diseases and expounds the function of CEMIP from the aspects of inhibiting cell apoptosis, promoting HA degradation, inducing inflammatory responses and related phosphorylation, adjusting cellular microenvironment, and regulating tissue fibrosis. The diagnosis and treatment strategies targeting CEMIP are also summarized. The various functions of CEMIP show its great potential application value.
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Affiliation(s)
- Yang Liu
- Department of Laboratory Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Gang Hu
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Yuetong Li
- Department of Endocrinology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xinyi Kong
- Department of Laboratory Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Kaming Yang
- Department of Endocrinology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Zhenlin Li
- Department of Endocrinology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Wanwen Lao
- Department of Endocrinology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jiaxin Li
- Department of Endocrinology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jianhua Zhong
- Department of Endocrinology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Shitong Zhang
- Department of General Practice, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Yuxin Leng
- Department of Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Changlong Bi
- Department of Endocrinology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Aixia Zhai
- Department of Laboratory Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
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Lu Z, Lu Z, Lai Y, Zhou H, Li Z, Cai W, Xu Z, Luo H, Chen Y, Li J, Zhang J, He Z, Tang F. A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer. IET Syst Biol 2023; 17:162-173. [PMID: 37337404 PMCID: PMC10439492 DOI: 10.1049/syb2.12067] [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: 09/14/2022] [Revised: 04/15/2023] [Accepted: 05/28/2023] [Indexed: 06/21/2023] Open
Abstract
Bladder cancer (BLCA) is a common and difficult-to-manage disease worldwide. Most common type of BLCA is urothelial carcinoma (UC). Fibrillin 2 (FBN2) was first discovered while studying Marfan syndrome, and its encoded products are associated with elastin fibres. To date, the role of FBN2 in BLCA remains unclear. The authors first downloaded data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The patients were divided into high FBN2 expression and low FBN2 expression groups, and the survival curve, clinical characteristics, tumour microenvironment (TME), and immune cell differences were analysed between the two groups. Then, the differentially expressed genes (DEGs) were filtered, and functional enrichment for DEGs was performed. Finally, chemotherapy drug susceptibility analysis based on the high and low FBN2 groups was conducted. The authors found upregulated expression of FBN2 in BLCA and proved that FBN2 could be an independent prognostic factor for BLCA. TME analysis showed that the expression of FBN2 affects several aspects of the TME. The upregulated expression of FBN2 was associated with a high stromal score, which may lead to immunosuppression and be detrimental to immunotherapy. In addition, the authors found that NK cells resting, macrophage M0 infiltration, and other phenomena of immune cell infiltration appeared in the high expression group of FBN2. The high expression of FBN2 was related to the high sensitivity of some chemotherapy drugs. The authors systematically investigated the effects and mechanisms of FBN2 on BLCA and provided a new understanding of the role of FBN2 as a risk factor and TME influencer in BLCA.
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Affiliation(s)
- Zechao Lu
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Zeguang Lu
- The Second Clinical College of Guangzhou Medical UniversityGuangzhouGuangdongChina
| | - Yongchang Lai
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Haobin Zhou
- The First Clinical College of Guangzhou Medical UniversityGuangzhouGuangdongChina
| | - Zhibiao Li
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Wanyan Cai
- Department of Social and Behavioural SciencesCity University of Hong KongHong KongChina
| | - Zeyao Xu
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Hongcheng Luo
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Yushu Chen
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Jianyu Li
- The First Clinical College of Guangzhou Medical UniversityGuangzhouGuangdongChina
| | - Jishen Zhang
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Zhaohui He
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
| | - Fucai Tang
- Department of UrologyThe Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenGuangdongChina
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Dong Y, Xu C, Su G, Li Y, Yan B, Liu Y, Yin T, Mou S, Mei H. Clinical value of anoikis-related genes and molecular subtypes identification in bladder urothelial carcinoma and in vitro validation. Front Immunol 2023; 14:1122570. [PMID: 37275895 PMCID: PMC10232821 DOI: 10.3389/fimmu.2023.1122570] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/03/2023] [Indexed: 06/07/2023] Open
Abstract
Background Anoikis is a programmed cell death process that was proven to be associated with cancer. Uroepithelial carcinoma of the bladder (BLCA) is a malignant disease of the urinary tract and has a strong metastatic potential. To determine whether anoikis-associated genes can predict the prognosis of BLCA accurately, we evaluated the prognostic value of anoikis-associated genes in BLCA and constructed the best model to predict prognosis. Method The BLCA transcriptome data were downloaded from TCGA and GEO databases, and genes with differential expression were selected and then clustered using non-negative matrix factorization (NMF). The genes with the most correlation with anoikis were screened and identified using univariate Cox regression, lasso regression, and multivariate Cox regression. The GEO dataset was used for external validation. Nomograms were created based on risk characteristics in combination with clinical variants and the performance of the model was validated with receiver operating characteristic (ROC) curves. The immunotherapeutic significance of this risk score was assessed using the immune phenomenon score (IPS). IC50 values of predictive chemotherapeutic agents were calculated. Finally, we used RT-qPCR to determine the mRNA expression of four genes, CALR, FASN, CASP6, and RAD9A. Result We screened 406 tumor samples and 19 normal tissue samples from the TCGA database. Based on anoikis-associated genes, we classified patients into two subtypes (C1 and C2) using NMF method. Subsequently, nine core genes were screened by multiple methods after analysis, which were used to construct risk profiles. The design of nomograms based on risk profiles and clinical variables, ROC, and calibration curves confirmed that the model could well have the ability to predict the survival of BLCA patients at 1, 3, and 5 years. By predicting the IC50 values of chemotherapeutic drugs, it was learned that the high-risk group (HRG) was more susceptible to paclitaxel, gemcitabine, and cisplatin, and the low-risk group (LRG) was more susceptible to veriparib and afatinib. Conclusion In summary, the risk score of anoikis-associated genes can be applied as a predictor to predict the prognosis of BLCA in clinical practice.
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Affiliation(s)
- Ying Dong
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, China
- Key Laboratory of Medical Reprogramming Technology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
- Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Chaojie Xu
- Department of Urology, Peking University First Hospital, Institution of Urology, Peking University, Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Ganglin Su
- Department of Urology, Peking University First Hospital, Beijing, China
| | - Yanfeng Li
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, China
- Key Laboratory of Medical Reprogramming Technology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
- Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Bing Yan
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, China
- Key Laboratory of Medical Reprogramming Technology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
- Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Yuhan Liu
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, China
- Key Laboratory of Medical Reprogramming Technology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
- Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Tao Yin
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, China
- Key Laboratory of Medical Reprogramming Technology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
- Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Shuanzhu Mou
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, China
- Key Laboratory of Medical Reprogramming Technology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
- Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hongbing Mei
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, China
- Key Laboratory of Medical Reprogramming Technology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
- Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
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Hyblova M, Gnip A, Kucharik M, Budis J, Sekelska M, Minarik G. Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? Diagnostics (Basel) 2022; 12:diagnostics12123056. [PMID: 36553064 PMCID: PMC9777446 DOI: 10.3390/diagnostics12123056] [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: 10/21/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Non-invasive prenatal testing (NIPT) has become a routine practice in screening for common aneuploidies of chromosomes 21, 18, and 13 and gonosomes X and Y in fetuses worldwide since 2015 and has even expanded to include smaller subchromosomal events. In fact, the fetal fraction represents only a small proportion of cell-free DNA on a predominant background of maternal DNA. Unlike fetal findings that have to be confirmed using invasive testing, it has been well documented that NIPT provides information on maternal mosaicism, occult malignancies, and hidden health conditions due to copy number variations (CNVs) with diagnostic resolution. Although large duplications or deletions associated with certain medical conditions or syndromes are usually well recognized and easy to interpret, very little is known about small, relatively common copy number variations on the order of a few hundred kilobases and their potential impact on human health. We analyzed data from 6422 NIPT patient samples with a CNV detection resolution of 200 kb for the maternal genome and identified 942 distinct CNVs; 328 occurred repeatedly. We defined them as multiple occurring variants (MOVs). We scrutinized the most common ones, compared them with frequencies in the gnomAD SVs v2.1, dbVar, and DGV population databases, and analyzed them with an emphasis on genomic content and potential association with specific phenotypes.
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Affiliation(s)
- Michaela Hyblova
- Medirex Group Academy n.o., Novozamocka 67, 949 05 Nitra, Slovakia
- Trisomy Test s.r.o., Novozamocka 67, 949 05 Nitra, Slovakia
- Correspondence:
| | - Andrej Gnip
- Medirex a.s., Galvaniho 17/C, 820 16 Bratislava, Slovakia
| | | | - Jaroslav Budis
- Geneton s.r.o., Ilkovicova 8, 841 04 Bratislava, Slovakia
| | - Martina Sekelska
- Medirex Group Academy n.o., Novozamocka 67, 949 05 Nitra, Slovakia
- Trisomy Test s.r.o., Novozamocka 67, 949 05 Nitra, Slovakia
| | - Gabriel Minarik
- Medirex Group Academy n.o., Novozamocka 67, 949 05 Nitra, Slovakia
- Trisomy Test s.r.o., Novozamocka 67, 949 05 Nitra, Slovakia
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Yu Y, Huang Y, Li C, Ou S, Xu C, Kang Z. Clinical value of M1 macrophage-related genes identification in bladder urothelial carcinoma and in vitro validation. Front Genet 2022; 13:1047004. [PMID: 36468020 PMCID: PMC9709473 DOI: 10.3389/fgene.2022.1047004] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 10/31/2022] [Indexed: 07/20/2023] Open
Abstract
Background: Tumor microenvironment (TME) takes a non-negligible role in the progression and metastasis of bladder urothelial carcinoma (BLCA) and tumor development could be inhibited by macrophage M1 in TME. The role of macrophage M1-related genes in BLCA adjuvant therapy has not been studied well. Methods: CIBERSOR algorithm was applied for identification tumor-infiltrating immune cells (TICs) subtypes of subjects from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data sets. We identified potential modules of M1 macrophages by weighted gene co-expression network analysis (WGCNA). Nomogram was determined by one-way Cox regression and lasso regression analysis for M1 macrophage genes. The data from GEO are taken to verify the models externally. Kaplan-Meier and receiver operating characteristic (ROC) curves validated prognostic value of M1 macrophage genes. Finally, we divided patients into the low-risk group (LRG) and the high-risk group (HRG) based on the median risk score (RS), and the predictive value of RS in patients with BLCA immunotherapy and chemotherapy was investigated. Bladder cancer (T24, 5637, and BIU-87) and bladder uroepithelial cell line (SV-HUC-1) were used for in vitro validation. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was employed to validate the associated genes mRNA level. Results: 111 macrophage M1-related genes were identified using WGCNA. RS model containing three prognostically significant M1 macrophage-associated genes (FBXO6, OAS1, and TMEM229B) was formed by multiple Cox analysis, and a polygenic risk model and a comprehensive prognostic line plot was developed. The calibration curve clarified RS was a good predictor of prognosis. Patients in the LRG were more suitable for programmed cell death protein 1 (PD1) and cytotoxic T lymphocyte associate protein-4 (CTLA4) combination immunotherapy. Finally, chemotherapeutic drug models showed patients in the LRG were more sensitive to gemcitabine and mitomycin. RT-qPCR result elucidated the upregulation of FBXO6, TMEM229B, and downregulation of OAS1 in BLCA cell lines. Conclusion: A predictive model based on M1 macrophage-related genes can help guide us in the treatment of BLCA.
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Affiliation(s)
- Yang Yu
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
| | - Yuexi Huang
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Chen Li
- Department of Biology, Chemistry, Pharmacy, Free University of Berlin, Berlin, Germany
| | - Santao Ou
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Chaojie Xu
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
| | - Zhengjun Kang
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
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Zhang J, Huang C, Yang R, Wang X, Fang B, Mi J, Yuan H, Mo Z, Sun Y. Identification of Immune-Related Subtypes and Construction of a Novel Prognostic Model for Bladder Urothelial Cancer. Biomolecules 2022; 12:1670. [PMID: 36421685 PMCID: PMC9687876 DOI: 10.3390/biom12111670] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/06/2022] [Accepted: 11/08/2022] [Indexed: 12/20/2023] Open
Abstract
The purpose of this study was to explore the relationship between bladder urothelial cancer (BLCA) and immunity, to screen prognosis-related immune genes (PIGs), and to construct an immune-related prognosis model (IRPM). We processed the relevant data of The Cancer Genome Atlas (TCGA-BLCA) and GSE13507 using R software and Perl. We divided BLCA into high-immunity and low-immunity subtypes. There were significant differences in the two subtypes. In addition, we identified 13 PIGs of BLCA by jointly analyzing the gene expression data and survival information of GSE13507 and TCGA-BLCA, and constructed IRPM through nine of them. The low-risk group had better survival outcome than the high-risk group. We also constructed a nomogram based on clinicopathological information and risk scores of the patients. Moreover, the prognosis of BLCA patients was significantly impacted by the expression of almost every gene used to calculate the risk score. The result of real-time fluorescence quantitative polymerase chain reaction revealed that all the genes used to calculate the risk score were differentially expressed between BLCA and adjacent normal tissues, except PDGFRA. Our research provided potential targets for the treatment of BLCA and a reference for judging the prognosis of BLCA.
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Affiliation(s)
- Jiange Zhang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Urology, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, China
| | - Caisheng Huang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Urology, The Nanning Second People’s Hospital, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, China
| | - Rirong Yang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China
- Collaborative Innovation Center of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning 530021, China
| | - Xiang Wang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China
| | - Bo Fang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Collaborative Innovation Center of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning 530021, China
| | - Junhao Mi
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Collaborative Innovation Center of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning 530021, China
| | - Hao Yuan
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China
| | - Zengnan Mo
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
| | - Yihai Sun
- Department of Urology, The Nanning Second People’s Hospital, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, China
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Chen Y, Zheng A, Zhang Y, Xiao M, Zhao Y, Wu X, Li M, Du F, Chen Y, Chen M, Li W, Li X, Sun Y, Gu L, Xiao Z, Shen J. Dysregulation of B7 family and its association with tumor microenvironment in uveal melanoma. Front Immunol 2022; 13:1026076. [PMID: 36311731 PMCID: PMC9615147 DOI: 10.3389/fimmu.2022.1026076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 09/20/2022] [Indexed: 11/25/2022] Open
Abstract
Background Uveal melanoma (UVM) is the most common primary intraocular malignancy in adults with a poor prognosis. B7 family is an important modulator of the immune response. However, its dysregulation and underlying molecular mechanism in UVM still remains unclear. Methods Data were derived from TCGA and GEO databases. The prognosis was analyzed by Kaplan-Meier curve. The ESTIMATE algorithm, CIBERSORT algorithm, and TIMER database were used to demonstrate the correlation between B7 family and tumor immune microenvironment in UVM. Single-cell RNA sequencing was used to detect the expression levels of the B7 family in different cell types of UVM. UVM was classified into different types by consistent clustering. Enrichment analysis revealed downstream signaling pathways of the B7 family. The interaction between different cell types was visualized by cell chat. Results The expression level of B7 family in UVM was significantly dysregulated and negatively correlated with methylation level. The expression of B7 family was associated with prognosis and immune infiltration, and B7 family plays an important role in the tumor microenvironment (TME). B7 family members were highly expressed in monocytes/macrophages of UVM compared with other cell types. Immune response and visual perception were the main functions affected by B7 family. The result of cell chat showed that the interaction between photoreceptor cells and immune-related cells was mainly generated by HLA-C-CD8A. CABP4, KCNJ10 and RORB had the strongest correlation with HLA-C-CD8A, and their high expression was significantly correlated with poor prognosis. CABP4 and RORB were specifically expressed in photoreceptor cells. Conclusions Dysregulation of the B7 family in UVM is associated with poor prognosis and affects the tumor immune microenvironment. CABP4 and RORB can serve as potential therapeutic targets for UVM, which can be regulated by the B7 family to affect the visual perception and immune response function of the eye, thus influencing the prognosis of UVM.
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Affiliation(s)
- Yao Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Pidu District People’s Hospital, Chengdu, Sichuan, China
| | - Anfu Zheng
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Yao Zhang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Mintao Xiao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Yueshui Zhao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Xu Wu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Mingxing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Fukuan Du
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Yu Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Meijuan Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Wanping Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Xiaobing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Yuhong Sun
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Li Gu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
| | - Zhangang Xiao
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- *Correspondence: Jing Shen, ; Zhangang Xiao,
| | - Jing Shen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, China
- South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, China
- *Correspondence: Jing Shen, ; Zhangang Xiao,
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