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Panwoon C, Seubwai W, Thanee M, Sangkhamanon S. Identification of novel biomarkers to distinguish clear cell and non-clear cell renal cell carcinoma using bioinformatics and machine learning. PLoS One 2024; 19:e0305252. [PMID: 38857246 PMCID: PMC11164351 DOI: 10.1371/journal.pone.0305252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 05/27/2024] [Indexed: 06/12/2024] Open
Abstract
Renal cell carcinoma (RCC), accounting for 90% of all kidney cancer, is categorized into clear cell RCC (ccRCC) and non-clear cell RCC (non-ccRCC) for treatment based on the current NCCN Guidelines. Thus, the classification will be associated with therapeutic implications. This study aims to identify novel biomarkers to differentiate ccRCC from non-ccRCC using bioinformatics and machine learning. The gene expression profiles of ccRCC and non-ccRCC subtypes (including papillary RCC (pRCC) and chromophobe RCC (chRCC)), were obtained from TCGA. Differential expression genes (DEGs) were identified, and specific DEGs for ccRCC and non-ccRCC were explored using a Venn diagram. Gene Ontology and pathway enrichment analysis were performed using DAVID. The top ten expressed genes in ccRCC were then selected for machine learning analysis. Feature selection was operated to identify a minimum highly effective gene set for constructing a predictive model. The expression of best-performing gene set was validated on tissue samples from RCC patients using immunohistochemistry techniques. Subsequently, machine learning models for diagnosing RCC were developed using H-scores. There were 910, 415, and 835 genes significantly specific for DEGs in ccRCC, pRCC, and chRCC, respectively. Specific DEGs in ccRCC enriched in PD-1 signaling, immune system, and cytokine signaling in the immune system, whereas TCA cycle and respiratory, signaling by insulin receptor, and metabolism were enriched in chRCC. Feature selection based on Decision Tree Classifier revealed that the model with two genes, including NDUFA4L2 and DAT, had an accuracy of 98.89%. Supervised classification models based on H-score of NDUFA4L2, and DAT revealed that Decision Tree models showed the best performance with 82% accuracy and 0.9 AUC. NDUFA4L2 expression was associated with lymphovascular invasion, pathologic stage and pT stage in ccRCC. Using integrated bioinformatics and machine learning analysis, NDUFA4L2 and DAT were identified as novel biomarkers to differential diagnosis ccRCC from non-ccRCC.
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Affiliation(s)
- Chanita Panwoon
- Faculty of Medicine, Department of Pathology, Khon Kaen University, Khon Kaen, Thailand
| | - Wunchana Seubwai
- Faculty of Medicine, Department of Forensic Medicine, Khon Kaen University, Khon Kaen, Thailand
- Faculty of Medicine, Center for Translational Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Malinee Thanee
- Faculty of Medicine, Department of Pathology, Khon Kaen University, Khon Kaen, Thailand
| | - Sakkarn Sangkhamanon
- Faculty of Medicine, Department of Pathology, Khon Kaen University, Khon Kaen, Thailand
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Chen Z, Ruan W, Guo C, Chen K, Li L, Tian J, Hu Z, Peng D, Zeng X. Non-SMC condensin I complex subunit H participates in anti-programmed cell death-1 resistance of clear cell renal cell carcinomas. Cell Prolif 2023:e13400. [PMID: 36642844 DOI: 10.1111/cpr.13400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/16/2022] [Accepted: 12/29/2022] [Indexed: 01/17/2023] Open
Abstract
Non-SMC condensin I complex subunit H (NCAPH) is reported to play an important role and be a poor prognostic factor in various cancers. However, the function and regulatory mechanism of NCAPH in clear cell renal cell carcinoma (ccRCC) remain unknown. The roles of NCAPH on ccRCC growth were detected in vitro and in vivo assays. The regulatory mechanism of NCAPH was explored by immunoprecipitation assay, ubiquitination assay, ChIP assay, RIP assay, luciferase reporter assay and RNA pull-down assay. The role of NCAPH in immunoregulation also was explored by flow cytometry, T cell-mediated tumour cell killing assay and immune-competent mouse model. In this research, we displayed that NCAPH was upregulated in ccRCC and patients with elevated NCAPH expression had an undesirable prognosis. Functionally, NCAPH depletion restrained ccRCC growth in vitro and in vivo. The elevated NCAPH was attributed to FOXP3-mediated transcription, FUS-mediated transcription splicing and METTL3-mediated m6A modification. Moreover, YTHDC1 promoted NCAPH mRNA nuclear export, and IGF2BP3 enhanced NCAPH mRNA stability in an m6A-dependent manner. NCAPH increased PD-L1 expression by inhibiting the degradation of β-catenin in ccRCC cells, which further facilitated aerobic glycolysis and immune tolerance of ccRCC. Collectively, our findings display the vital function of NCAPH in ccRCC and uncover that NCAPH may be regarded as a potential therapeutic target to reverse the immune tolerance of ccRCC.
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Affiliation(s)
- Zhi Chen
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weiqiang Ruan
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chunhao Guo
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ke Chen
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Le Li
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jihua Tian
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhiquan Hu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dan Peng
- Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xing Zeng
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Xu N, Xiao W, Meng X, Li W, Wang X, Zhang X, Yang H. Up-regulation of SLC27A2 suppresses the proliferation and invasion of renal cancer by down-regulating CDK3-mediated EMT. Cell Death Dis 2022; 8:351. [PMID: 35927229 PMCID: PMC9352701 DOI: 10.1038/s41420-022-01145-8] [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: 05/10/2022] [Revised: 07/16/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022]
Abstract
Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of the urinary system. Distant metastasis is the leading cause of poor prognosis in ccRCC. However, ccRCC is found poorly responsitive to radiotherapy and chemotherapy. Effective therapeutic strategies for its metastasis remain scarce. We analyzed clinical samples and public database, for differential expression of SLC27A2 and further explored its relationship with clinical prognosis. Biochemistry and functional experiments were carried out to study the potential mechanisms of SLC27A2, CDK3, and EMT. SLC27A2 was significantly downregulated in clinical specimens and renal cancer cell lines and predicted poor prognosis. We found that specific upregulation of SLC27A2 could significantly inhibited the proliferation, migration, and invasion of renal cancer cell lines. SLC27A2 could also influence the Epithelial-mesenchymal transition (EMT) signaling pathway, linked to the progression and metastasis of renal cancer. Using whole transcriptome sequencing of SLC27A2, CDK3 was identified as a regulatory SLC27A2 target. In terms of mechanism, SLC27A2 may further inhibit the epithelial-to-mesenchymal transition by negatively regulating CDK3. Our work suggests that functional inhibition of SLC27A2-CDK3-EMT axis may be an attractive therapeutic target for metastasis of ccRCC.
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Affiliation(s)
- Ning Xu
- Department of Pathogenic Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei Province, China
| | - Wen Xiao
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiangui Meng
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Weiquan Li
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xuegang Wang
- Department of Urology, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
| | - Xiaoping Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Hongmei Yang
- Department of Pathogenic Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei Province, China.
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Bioinformatics Study Identified EGF as a Crucial Gene in Papillary Renal Cell Cancer. DISEASE MARKERS 2022; 2022:4761803. [PMID: 35655917 PMCID: PMC9155928 DOI: 10.1155/2022/4761803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 05/03/2022] [Indexed: 12/24/2022]
Abstract
Background Due to a lack of knowledge of the disease process, papillary renal cell carcinoma (PRCC) has a dismal outlook. This research was aimed at uncovering the possible biomarkers and the underlying principles in PRCC using a bioinformatics method. Methods We searched the Gene Expression Omnibus (GEO) datasets to obtain the GSE11151 and GSE15641 gene expression profiles of PRCC. We used the R package limma to identify the differentially expressed genes (DEGs). The online tool DAVID and ClusterProfiler package in R software were used to analyze Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway dominance, respectively. The STRING database was utilized to construct the PPI network of DEGs. Using the Cytoscape technology, a protein-protein interaction (PPI) network that associated with DEGs was created, and the hub genes were identified using the Cytoscape plug-in CytoHubba. The hub genes were subjected to a Kaplan-Meier analysis to identify their correlations with survival rates. Results From the selected datasets, a total of 240 common DEGs were identified in the PRCC, including 50 upregulated genes and 190 downregulated regulated genes. Renal growth, external exosome, binding of heparin, and metabolic processes were all substantially associated with DEGs. The CytoHubba plug-in-based analysis identified the 10 hub genes (ALB, KNG1, C3, CXCL12, EGF, TIMP1, VCAN, PLG, LAMC1, and CASR) from the original PPI network. The higher expression group of EGF was associated with poor outcome in patients with PRCC. Conclusions We revealed important genes and proposed biological pathways that may be implicated in the formation of PRCC. EGF might be a predictive biomarker for PRCC and therefore should be investigated as a novel treatment strategy.
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Yin X, Chen H, Chen S, Zhang S. Screening and Validation of a Carvacrol-Targeting Viability-Regulating Protein, SLC6A3, in Liver Hepatocellular Carcinoma. DISEASE MARKERS 2022; 2022:3736104. [PMID: 35401884 PMCID: PMC8986433 DOI: 10.1155/2022/3736104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/20/2022] [Accepted: 02/15/2022] [Indexed: 11/17/2022]
Abstract
Background Liver hepatocellular carcinoma (LIHC) is the second leading cause of tumor-related death in the world. Carvacrol was also found to inhibit multiple cancer types. Here, we proposed that Carvacrol inhibited LIHC. Methods We used MTT assay to determine the inhibition of Carvacrol on LIHC cells. BATMAN-TCM was used to predict targets of Carvacrol. These targets were further screened by their survival association and expression in cancer using TCGA data. The bioinformatic screened candidates were further validated in in vitro experiments and clinical samples. Finally, docking models of the interaction of Carvacrol and target protein were conducted. Results Carvacrol inhibited the viability of LIHC cell lines. 40 target genes of Carvacrol were predicted, 8 of them associated with survival. 4 genes were found differentially expressed in LIHC vs. normal liver. Among these genes, the expression of SLC6A3 and SCN4A was found affected by Carvacrol in LIHC cells, but only SLC6A3 correlated with the viability inhibition of Carvacrol on LIHC cell lines. A docking model of the interaction of Carvacrol and SLC6A3 was established with a good binding affinity. SLC6A3 knockdown and expression revealed that SLC6A3 promoted the viability of LIHC cells. Conclusion Carvacrol inhibited the viability of LIHC cells by downregulating SLC6A3.
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Affiliation(s)
- Xieling Yin
- Department of Hepatobiliary and Pancreatic Surgery, Tumor Hospital Affiliated To Nantong University, China
| | - Hongjian Chen
- Department of Hepatobiliary and Pancreatic Surgery, Tumor Hospital Affiliated To Nantong University, China
| | - Shi Chen
- Department of Hepatobiliary and Pancreatic Surgery, Tumor Hospital Affiliated To Nantong University, China
| | - Suqing Zhang
- Department of Hepatobiliary and Pancreatic Surgery, Tumor Hospital Affiliated To Nantong University, China
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Liao C, Wang Q, An J, Zhang M, Chen J, Li X, Xiao L, Wang J, Long Q, Liu J, Guan X. SPINKs in Tumors: Potential Therapeutic Targets. Front Oncol 2022; 12:833741. [PMID: 35223512 PMCID: PMC8873584 DOI: 10.3389/fonc.2022.833741] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 01/14/2022] [Indexed: 12/14/2022] Open
Abstract
The serine protease inhibitor Kazal type (SPINK) family includes SPINK1-14 and is the largest branch in the serine protease inhibitor family. SPINKs play an important role in pancreatic physiology and disease, sperm maturation and capacitation, Nager syndrome, inflammation and the skin barrier. Evidence shows that the unregulated expression of SPINK1, 2, 4, 5, 6, 7, and 13 is closely related to human tumors. Different SPINKs exhibit various regulatory modes in different tumors and can be used as tumor prognostic markers. This article reviews the role of SPINK1, 2, 4, 5, 6, 7, and 13 in different human cancer processes and helps to identify new cancer treatment targets.
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Affiliation(s)
- Chengcheng Liao
- Department of Orthodontics II, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi, China
- Oral Disease Research Key Laboratory of Guizhou Tertiary Institution, School of Stomatology, Zunyi Medical University, Zunyi, China
| | - Qian Wang
- Oral Disease Research Key Laboratory of Guizhou Tertiary Institution, School of Stomatology, Zunyi Medical University, Zunyi, China
- Microbial Resources and Drug Development Key Laboratory of Guizhou Tertiary Institution, Life Sciences Institute, Zunyi Medical University, Zunyi, China
| | - Jiaxing An
- Department of Gastroenterology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Minglin Zhang
- Department of Gastroenterology, Affiliated Baiyun Hospital of Guizhou Medical University, Guiyang, China
| | - Jie Chen
- Department of Urology, The Third Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Xiaolan Li
- Oral Disease Research Key Laboratory of Guizhou Tertiary Institution, School of Stomatology, Zunyi Medical University, Zunyi, China
- Microbial Resources and Drug Development Key Laboratory of Guizhou Tertiary Institution, Life Sciences Institute, Zunyi Medical University, Zunyi, China
| | - Linlin Xiao
- Department of Orthodontics II, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi, China
- Oral Disease Research Key Laboratory of Guizhou Tertiary Institution, School of Stomatology, Zunyi Medical University, Zunyi, China
| | - Jiajia Wang
- Department of Orthodontics II, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi, China
| | - Qian Long
- Department of Orthodontics II, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi, China
- Oral Disease Research Key Laboratory of Guizhou Tertiary Institution, School of Stomatology, Zunyi Medical University, Zunyi, China
- *Correspondence: Qian Long, ; Xiaoyan Guan, ; Jianguo Liu,
| | - Jianguo Liu
- Department of Orthodontics II, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi, China
- Oral Disease Research Key Laboratory of Guizhou Tertiary Institution, School of Stomatology, Zunyi Medical University, Zunyi, China
- *Correspondence: Qian Long, ; Xiaoyan Guan, ; Jianguo Liu,
| | - Xiaoyan Guan
- Department of Orthodontics II, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi, China
- Oral Disease Research Key Laboratory of Guizhou Tertiary Institution, School of Stomatology, Zunyi Medical University, Zunyi, China
- *Correspondence: Qian Long, ; Xiaoyan Guan, ; Jianguo Liu,
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Zhang S, Chen S, Wang Y, Zhan Y, Li J, Nong X, Gao B. Association of a Novel Prognosis Model with Tumor Mutation Burden and Tumor-Infiltrating Immune Cells in Thyroid Carcinoma. Front Genet 2022; 12:744304. [PMID: 34976004 PMCID: PMC8718762 DOI: 10.3389/fgene.2021.744304] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/25/2021] [Indexed: 12/25/2022] Open
Abstract
Although immunotherapy has recently demonstrated a substantial promise in treating advanced thyroid carcinoma (THCA), it is not appropriate for all THCA patients. As a result, this study aims to identify biomarkers for predicting immunotherapy efficacy and prognosis in THCA patients based on a constructed prognostic model. The transcriptomic and corresponding clinical data of THCA patients were obtained from the Cancer Genome Atlas (TCGA) database. We identified differentially expressed genes (DEGs) between THCA and normal samples and performed an intersection analysis of DEGs with immune-related genes (IRGs) downloaded from the ImmPort database. Functional enrichment analysis was performed on the chosen immune-related DEGs. Subsequently, Cox and LASSO regression analyses were conducted to obtain three hub immune-related DEGs, including PPBP, SEMA6B, and GCGR. Following that, a prognostic risk model was established and validated based on PPBP, SEMA6B, and GCGR genes to predict immunotherapy efficacy and THCA prognosis. Finally, we investigated the association between the constructed risk model and tumor mutational burden (TMB), abundance of tumor-infiltrating immune cells (TICs) as well as immunotherapeutic targets (PDL-1, PD-1, and CTLA4) in THCA. THCA patients in the high-risk score (RS) group showed higher TMB levels and worse prognosis than the low RS group. Patients in the high-RS group had higher proportions of monocytes, M2 macrophages, and activated dendritic cells, whereas those in the low-RS group exhibited higher numbers of M1 macrophages and dendritic resting cells. Our data implied that the constructed THCA prognostic model was sound and we concluded that the THCA patients having high TMB and low PD-L1 expression levels might respond poorly to immunotherapy. Taken together, we constructed a novel prognostic model for THCA patients to predict their prognosis and immunotherapy efficacy, providing a viable option for the future management of THCA patients in the clinic.
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Affiliation(s)
- Siqin Zhang
- College of Stomatology, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, China
| | - Shaoyong Chen
- College of Stomatology, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, China
| | - Yuchen Wang
- College of Stomatology, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, China
| | - Yuxiang Zhan
- College of Stomatology, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, China
| | - Jiarui Li
- College of Stomatology, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, China
| | - Xiaolin Nong
- College of Stomatology, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, China
| | - Biyun Gao
- College of Stomatology, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, China
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Chen X, Lin J, Chen M, Chen Q, Cai Z, Tang A. Identification of adhesion-associated extracellular matrix component thrombospondin 3 as a prognostic signature for clear cell renal cell carcinoma. Investig Clin Urol 2022; 63:107-117. [PMID: 34983129 PMCID: PMC8756151 DOI: 10.4111/icu.20210273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/14/2021] [Accepted: 09/30/2021] [Indexed: 11/18/2022] Open
Abstract
PURPOSE Clear cell renal cell carcinoma (ccRCC) is a highly aggressive disease, and approximately 30% of patients are diagnosed at the metastatic stage. Even with targeted therapies, the prognosis of advanced ccRCC is poor. The aim of this study was to investigate clinical prognosis signatures by analyzing the ccRCC datasets in The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the function of thrombospondin 3 (THBS3) in ccRCC. MATERIALS AND METHODS We analyzed the ccRCC datasets in TCGA and CPTAC to search for extracellular matrix (ECM)-related and adhesion-associated genes, and conducted overall survival, Cox, and receiver operating characteristic analyses. We also performed CCK8, colony formation, and transwell assays to compared the proliferation and migration ability of THBS3 knockout cells with those of cells without THBS3 knockout. RESULTS Comprehensive bioinformatics analysis revealed that THBS3 is a novel candidate oncogene that is overexpressed in ccRCC tumor tissue and that its elevated expression indicates poor prognosis. Our study also showed that knockdown of THBS3 inhibits proliferation, colony formation, and migration of ccRCC cells. CONCLUSIONS In summary, our data have revealed that THBS3 is upregulated in cancer tissues and could be used as a novel prognostic marker for ccRCC. Our findings thus offer theoretical support with bioinformatics analyses to the study of ECM and adhesion proteins in ccRCC, which may provide a new perspective for the clinical management of ccRCC.
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Affiliation(s)
- Xiangling Chen
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen Institute of Translational Medicine, Shenzhen, China
- Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen Institute of Translational Medicine, Shenzhen, China
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jiatian Lin
- Department of Minimally Invasive Intervention, Peking University Shenzhen Hospital, Shenzhen, China
| | - Min Chen
- State Key Laboratory of Cell Biology, CAS Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Innovation Center for Cell Signaling Network, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Shanghai, China
| | - Qiaoling Chen
- Department of Biology, NO. 6 Middle School of Changsha, Changsha, China
| | - Zhiming Cai
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen Institute of Translational Medicine, Shenzhen, China
| | - Aifa Tang
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen Institute of Translational Medicine, Shenzhen, China
- Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen Institute of Translational Medicine, Shenzhen, China.
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Dong Y, Ma WM, Yang W, Hao L, Zhang SQ, Fang K, Hu CH, Zhang QJ, Shi ZD, Zhang WD, Fan T, Xia T, Han CH. Identification of C3 and FN1 as potential biomarkers associated with progression and prognosis for clear cell renal cell carcinoma. BMC Cancer 2021; 21:1135. [PMID: 34688260 PMCID: PMC8539775 DOI: 10.1186/s12885-021-08818-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 09/27/2021] [Indexed: 12/28/2022] Open
Abstract
Background Clear cell renal cell carcinoma (ccRCC) is one of the most lethal urological malignancies, but the pathogenesis and prognosis of ccRCC remain obscure, which need to be better understand. Methods Differentially expressed genes were identified and function enrichment analyses were performed using three publicly available ccRCC gene expression profiles downloaded from the Gene Expression Omnibus database. The protein-protein interaction and the competing endogenous RNA (ceRNA) networks were visualized by Cytoscape. Multivariate Cox analysis was used to predict an optimal risk mode, and the survival analysis was performed with the Kaplan-Meier curve and log-rank test. Protein expression data were downloaded from Clinical Proteomic Tumor Analysis Consortium database and Human Protein Atlas database, and the clinical information as well as the corresponding lncRNA and miRNA expression data were obtained via The Cancer Genome Atlas database. The co-expressed genes and potential function of candidate genes were explored using data exacted from the Cancer Cell Line Encyclopedia database. Results Of the 1044 differentially expressed genes shared across the three datasets, 461 were upregulated, and 583 were downregulated, which significantly enriched in multiple immunoregulatory-related biological process and tumor-associated pathways, such as HIF-1, PI3K-AKT, P53 and Rap1 signaling pathways. In the most significant module, 36 hub genes were identified and were predominantly enriched in inflammatory response and immune and biotic stimulus pathways. Survival analysis and validation of the hub genes at the mRNA and protein expression levels suggested that these genes, particularly complement component 3 (C3) and fibronectin 1 (FN1), were primarily responsible for ccRCC tumorigenesis and progression. Increased expression of C3 or FN1 was also associated with advanced clinical stage, high pathological grade, and poor survival in patients with ccRCC. Univariate and multivariate Cox regression analysis qualified the expression levels of the two genes as candidate biomarkers for predicting poor survival. FN1 was potentially regulated by miR-429, miR-216b and miR-217, and constructed a bridge to C3 and C3AR1 in the ceRNA network, indicating a critical position of FN1. Conclusions The biomarkers C3 and FN1 could provide theoretical support for the development of a novel prognostic tool to advance ccRCC diagnosis and targeted therapy. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08818-0.
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Affiliation(s)
- Yang Dong
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China.,Medical College of Soochow University, Suzhou, China
| | - Wei-Ming Ma
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China.,Medical College of Soochow University, Suzhou, China
| | - Wen Yang
- Department of Nephrology, The First Affiliated Hospital of Shandong Academy of Medical Sciences, Jinan, China
| | - Lin Hao
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China.,Medical College of Soochow University, Suzhou, China
| | - Shao-Qi Zhang
- Nanjing University of Traditional Chinese Medicine, Nanjing, China
| | - Kun Fang
- Department of Nephrology, The First Affiliated Hospital of Shandong Academy of Medical Sciences, Jinan, China.,Nanjing University of Traditional Chinese Medicine, Nanjing, China
| | - Chun-Hui Hu
- Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Qian-Jin Zhang
- Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Zhen-Duo Shi
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China
| | - Wen-da Zhang
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China
| | - Tao Fan
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China
| | - Tian Xia
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China
| | - Cong-Hui Han
- Department of Urology, Xuzhou Central Hospital, Xuzhou, China. .,Department of Nephrology, The First Affiliated Hospital of Shandong Academy of Medical Sciences, Jinan, China. .,Jiangsu Normal University, Xuzhou, China.
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Pei L, Lv X, Jia G, Tan X, Li M, Zhang A. Silencing circular RNA circ_0054537 and upregulating microRNA-640 suppress malignant progression of renal cell carcinoma via regulating neuronal pentraxin-2 (NPTX2). Bioengineered 2021; 12:8279-8295. [PMID: 34565284 PMCID: PMC8806977 DOI: 10.1080/21655979.2021.1984002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Hsa_circ_0054537 (circ_0054537) is a novel tumor-related circular RNA in renal cell carcinoma (RCC), and we intended to ascertain its dysregulation and functions in RCC malignant progression, as well as the underlying mechanism via serving as competing endogenous RNA (ceRNA). In this research, using real-time quantitative PCR, we found circ_0054537 was upregulated in RCC tissues and cells, and distributed throughout the cytoplasm. Then, functional effects of circ_0054537 in RCC were detected using cell counting kit-8, transwell, flow cytometry and glycolysis stress test and adenosine Triphosphate (ATP) assays. The results uncovered that circ_0054537 knockdown inhibited cell proliferation, migration, invasion, autophagy and glycolysis, but promoted apoptosis in RCC cells. Notably, circ_0054537 was identified as a ceRNA for microRNA (miR)-640, and miR-640 could target neuronal pentraxin-2 (NPTX2), as evidenced by dual-luciferase reporter assay and RNA immunoprecipitation assay. Besides, miR-640 downregulation or NPTX2 overexpression partly overturned the tumor suppressor function of circ_0054537 silence and miR-640 overexpression in RCC cells. Additionally, RCC cell growth in vivo was retarded by circ_0054537 silence. In conclusion, circ_0054537/miR-640/NPTX2 ceRNA pathway regulated RCC malignant progression in vitro and curbed RCC tumor growth in vivo, which could be a potential diagnosis and therapeutic target of RCC.
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Affiliation(s)
- Long Pei
- Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China
| | - Xianqiang Lv
- Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China
| | - Gaopei Jia
- Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China
| | - Xiaoliang Tan
- Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China
| | - Ming Li
- Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China
| | - Aili Zhang
- Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China
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11
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Romera-Giner S, Andreu Martínez Z, García-García F, Hidalgo MR. Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancers. Biol Direct 2021; 16:9. [PMID: 34039407 PMCID: PMC8152308 DOI: 10.1186/s13062-021-00293-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/23/2021] [Indexed: 02/07/2023] Open
Abstract
Background Cancer is a major health problem which presents a high heterogeneity. In this work we explore omics data from Breast, Kidney and Lung cancers at different levels as signalling pathways, functions and miRNAs, as part of the CAMDA 2019 Hi-Res Cancer Data Integration Challenge. Our goal is to find common functional patterns which give rise to the generic microenvironment in these cancers and contribute to a better understanding of cancer pathogenesis and a possible clinical translation down further studies. Results After a tumor versus normal tissue comparison of the signaling pathways and cell functions, we found 828 subpathways, 912 Gene Ontology terms and 91 Uniprot keywords commonly significant to the three studied tumors. Such features interestingly show the power to classify tumor samples into subgroups with different survival times, and predict tumor state and tissue of origin through machine learning techniques. We also found cancer-specific alternative activation subpathways, such as the ones activating STAT5A in ErbB signaling pathway. miRNAs evaluation show the role of miRNAs, such as mir-184 and mir-206, as regulators of many cancer pathways and their value in prognoses. Conclusions The study of the common functional and pathway activities of different cancers is an interesting approach to understand molecular mechanisms of the tumoral process regardless of their tissue of origin. The existence of platforms as the CAMDA challenges provide the opportunity to share knowledge and improve future scientific research and clinical practice. Supplementary Information The online version contains supplementary material available at 10.1186/s13062-021-00293-8.
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Affiliation(s)
- Sergio Romera-Giner
- Bioinformatics & Biostatistics Unit, Principe Felipe Research Center, 46012, Valencia, Spain.,ATOS Research & Innovation (ARI), 28037, Madrid, Spain
| | - Zoraida Andreu Martínez
- Bioinformatics & Biostatistics Unit, Principe Felipe Research Center, 46012, Valencia, Spain.,Foundation Valencian Institute of Oncology (FIVO), 46009, Valencia, Spain
| | - Francisco García-García
- Bioinformatics & Biostatistics Unit, Principe Felipe Research Center, 46012, Valencia, Spain.,Spanish National Bioinformatics Institute, ELIXIR-Spain (INB, ELIXIR-ES), 46012, Valencia, Spain
| | - Marta R Hidalgo
- Bioinformatics & Biostatistics Unit, Principe Felipe Research Center, 46012, Valencia, Spain.
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12
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Gundert L, Strick A, Hagen F, Schmidt D, Klümper N, Tolkach Y, Toma M, Kristiansen G, Ritter M, Ellinger J. Systematic expression analysis of m
6
A RNA methyltransferases in clear cell renal cell carcinoma. BJUI COMPASS 2021; 2:402-411. [PMID: 35474700 PMCID: PMC8988738 DOI: 10.1002/bco2.89] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 04/12/2021] [Accepted: 04/12/2021] [Indexed: 01/17/2023] Open
Abstract
Objectives To investigate the regulation of the N‐6‐methyladenosine (m6A) methyltransferases METTL3, METTL14, WTAP, KIAA1429, and METTL4, referred to as “m6A writers,” in clear cell renal cell carcinoma (ccRCC), and other RCC subtypes in respect of the potential prognostic value. Patients and methods Tissue samples were collected within the framework of the Biobank at the Center for Integrated Oncology Bonn. The expression of the methyltransferases was systematically determined in clear cell renal carcinoma (ccRCC) on the RNA (real‐time PCR) and protein level (immunohistochemistry). Additionally, protein expression of the m6A writers was further investigated in papillary RCC, chromophobe RCC, sarcomatoid RCC, oncocytoma, and normal renal tissue (immunohistochemistry). Results The expression of all m6A‐methyltransferases was significantly downregulated in ccRCC compared to benign renal tissue. Low m6A‐methyltransferase levels were correlated with higher histological grade, advanced pT‐stage, pN‐stage, and metastatic disease. Reduced m6A‐methyltransferase expression was associated with shorter overall survival. Conclusion In conclusion, m6A‐methyltransferases are dysregulated in ccRCC and might act as tumor suppressor genes, which could be of particular importance for future diagnostic and therapeutic options.
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Affiliation(s)
| | | | - Felix Hagen
- Department of Urology University Hospital Bonn Bonn Germany
| | - Doris Schmidt
- Department of Urology University Hospital Bonn Bonn Germany
| | - Niklas Klümper
- Department of Urology University Hospital Bonn Bonn Germany
| | - Yuri Tolkach
- Department of Pathology University Hospital Bonn Bonn Germany
- Department of Pathology University Hospital Cologne Cologne Germany
| | - Marieta Toma
- Department of Pathology University Hospital Bonn Bonn Germany
| | | | - Manuel Ritter
- Department of Urology University Hospital Bonn Bonn Germany
| | - Jörg Ellinger
- Department of Urology University Hospital Bonn Bonn Germany
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13
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SLC6A3 as a potential circulating biomarker for gastric cancer detection and progression monitoring. Pathol Res Pract 2021; 221:153446. [PMID: 33887543 DOI: 10.1016/j.prp.2021.153446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/11/2021] [Accepted: 04/11/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Gastric cancer is a malignant tumor originating from the gastric mucosal epithelium, with no obvious symptoms at the early stage. The dopamine transporter gene (SLC6A3) is involved in the metabolism of dopamine and catecholamine and is a potential gene for Parkinson's disease and alcoholism. But the role of SLC6A3 in gastric cancer is still unknown. The aim of our study is to investigate the potential diagnostic value of SLC6A3 on gastric cancer. METHODS Quantitative real-time PCR (RT-qPCR) was used to detect the expression of SLC6A3 in clinical samples and cells. A total of 246 samples were enrolled in this study (26 pairs of tissue samples; Serum of 113 patients with gastric cancer, 51 polyps patients and 56 healthy controls). The diagnostic value of SLC6A3 was evaluated by the ROC curve and analyzed the changes of SLC6A3 expression before and after surgery. The prognostic value, interacting proteins and related pathways of SLC6A3 were evaluated by TCGA analysis in UALCAN database (http://ualcan.path.uab.edu/). RESULTS The expression level of SLC6A3 in gastric cancer was significantly higher than that in controls. Further, the proportion under the ROC curve (AUC) for SLC6A3, CEA and CA19-9 was 0.818 (95 % confidence interval [CI]: 0.754 to 0.883, P < 0.001), and the expression level of SLC6A3 in the serum of patients with gastric cancer decreased significantly after surgery (P < 0.001). Bioinformatic enrichment analysis of SLC6A3 displayed the relevant metabolic pathways involved in its interacting proteins. CONCLUSION SLC6A3 is involved in the occurrence and development of gastric cancer and can be used as a potential diagnostic indicator for gastric cancer.
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14
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von Hagen F, Gundert L, Strick A, Klümper N, Schmidt D, Kristiansen G, Tolkach Y, Toma M, Ritter M, Ellinger J. N 6 -Methyladenosine (m 6 A) readers are dysregulated in renal cell carcinoma. Mol Carcinog 2021; 60:354-362. [PMID: 33755994 DOI: 10.1002/mc.23297] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 02/23/2021] [Accepted: 03/02/2021] [Indexed: 12/18/2022]
Abstract
N6 -Methyladenosine (m6 A) is the most common modification of messenger RNA (mRNA) in mammals. It critically influences RNA metabolism and plays an essential role in virtually all types of bioprocesses including gene expression, tissue development, self-renewal and differentiation of stem cells, stress response and circadian clock control. It plays a crucial role in carcinogenesis and could be used as a prognostic and a diagnostic tool and as a target for new anticancer therapies. m6 A modification is dynamically and reversibly regulated by three types of proteins. Methyltransferases, so-called "writers" add a methyl group to the adenosine, which can be removed by demethylases, also called "erasers." m6 A-specific RNA-binding proteins, from here on referred to as "readers," preferentially bind to the m6 A site and mediate biological functions, such as translation, splicing or decay of RNA. In this study, we examined the expression of the six m6 A readers HNRNPA2B1, HNRNPC, YTHDC1 and YTHDF1-3 in clear cell renal carcinoma (ccRCC). We show that on mRNA level the expression of all six m6 A readers is significantly downregulated compared to normal renal tissue and on protein level five out of six readers are dysregulated. Lower levels of some m6 A readers are correlated with advanced stage and grade as well as associated with a shorter overall, progression-free and cancer-specific survival. In summary, we could show that m6 A readers are dysregulated in ccRCC and might therefore act as a tumor marker, could give further information on the individual prognosis and be a target of innovative cancer therapy.
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Affiliation(s)
- Felix von Hagen
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Larissa Gundert
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Alexander Strick
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Niklas Klümper
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Doris Schmidt
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Glen Kristiansen
- Institut für Pathologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Yuri Tolkach
- Institut für Pathologie, Universitätsklinikum Bonn, Bonn, Germany.,Institut für Allgemeine Pathologie und Pathologische Anatomie, Universitätsklinikum Köln, Cologne, Germany
| | - Marieta Toma
- Institut für Pathologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Manuel Ritter
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Germany
| | - Jörg Ellinger
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Bonn, Germany
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15
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Han X, Lu Y, Li X, Xia L, Wen H, Feng Z, Ju X, Chen X, Wu X. Overexpression of NPTX2 Promotes Malignant Phenotype of Epithelial Ovarian Carcinoma via IL6-JAK2/STAT3 Signaling Pathway Under Hypoxia. Front Oncol 2021; 11:643986. [PMID: 33768003 PMCID: PMC7985451 DOI: 10.3389/fonc.2021.643986] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 01/25/2021] [Indexed: 01/14/2023] Open
Abstract
Background Epithelial ovarian cancer (EOC) is the main subtype of ovarian cancer and shows an aggressive phenotype and poor prognosis. Neuronal pentraxin II (NPTX2) is a member of the neuronal pentraxin family and plays a contradictory role in different tumors. However, there has been no report about the possible role and effect of NPTX2 in EOC. Methods Bioinformatics analysis, qPCR, western blotting and immunohistochemistry were used to detect the expression of NPTX2 in EOC. Lentivirus-based transfection for NPTX2 overexpression or knockdown was performed on the EOC cell lines A2780, HEY, SKOV3 and OVCAR-3. The effect of NPTX2 on the malignant phenotype of EOC was examined through methods of MTS assay, Edu assay, transwell assay, western blotting analysis, qPCR analysis, luciferase reporter assay and xenograft experiment. Results EOC tissues showed higher NPTX2 expression than the normal tissues with poor prognosis. NPTX2 overexpression can promote the proliferation, invasion, migration and tumorigenesis of EOC via IL6-JAK2/STAT3 signaling pathway. Moreover, hypoxia-inducible factor-1(HIF-1) can promote the transcription and expression of NPTX2 under the hypoxic environment. NPTX2 knockdown abolished the hypoxia-induced malignant phenotypes in ECO. Conclusions The above results suggest that NPTX2 may play a novel role in ovarian cancer's malignant phenotype and act as a promising treatment target for EOC molecular therapy.
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Affiliation(s)
- Xiaotian Han
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yechen Lu
- Wound Repair Center, Ruijin Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Xiaoqi Li
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lingfang Xia
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hao Wen
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zheng Feng
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xingzhu Ju
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaojun Chen
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaohua Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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16
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Giulietti M, Cecati M, Sabanovic B, Scirè A, Cimadamore A, Santoni M, Montironi R, Piva F. The Role of Artificial Intelligence in the Diagnosis and Prognosis of Renal Cell Tumors. Diagnostics (Basel) 2021; 11:206. [PMID: 33573278 PMCID: PMC7912267 DOI: 10.3390/diagnostics11020206] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/22/2021] [Accepted: 01/26/2021] [Indexed: 02/07/2023] Open
Abstract
The increasing availability of molecular data provided by next-generation sequencing (NGS) techniques is allowing improvement in the possibilities of diagnosis and prognosis in renal cancer. Reliable and accurate predictors based on selected gene panels are urgently needed for better stratification of renal cell carcinoma (RCC) patients in order to define a personalized treatment plan. Artificial intelligence (AI) algorithms are currently in development for this purpose. Here, we reviewed studies that developed predictors based on AI algorithms for diagnosis and prognosis in renal cancer and we compared them with non-AI-based predictors. Comparing study results, it emerges that the AI prediction performance is good and slightly better than non-AI-based ones. However, there have been only minor improvements in AI predictors in terms of accuracy and the area under the receiver operating curve (AUC) over the last decade and the number of genes used had little influence on these indices. Furthermore, we highlight that different studies having the same goal obtain similar performance despite the fact they use different discriminating genes. This is surprising because genes related to the diagnosis or prognosis are expected to be tumor-specific and independent of selection methods and algorithms. The performance of these predictors will be better with the improvement in the learning methods, as the number of cases increases and by using different types of input data (e.g., non-coding RNAs, proteomic and metabolic). This will allow for more precise identification, classification and staging of cancerous lesions which will be less affected by interpathologist variability.
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Affiliation(s)
- Matteo Giulietti
- Department of Specialistic Clinical & Odontostomatological Sciences, Polytechnic University of Marche, 60126 Ancona, Italy; (M.G.); (M.C.); (B.S.)
| | - Monia Cecati
- Department of Specialistic Clinical & Odontostomatological Sciences, Polytechnic University of Marche, 60126 Ancona, Italy; (M.G.); (M.C.); (B.S.)
| | - Berina Sabanovic
- Department of Specialistic Clinical & Odontostomatological Sciences, Polytechnic University of Marche, 60126 Ancona, Italy; (M.G.); (M.C.); (B.S.)
| | - Andrea Scirè
- Department of Life and Environmental Sciences, Polytechnic University of Marche, 60126 Ancona, Italy;
| | - Alessia Cimadamore
- Section of Pathological Anatomy, Polytechnic University of Marche, United Hospitals, 60126 Ancona, Italy; (A.C.); (R.M.)
| | - Matteo Santoni
- Oncology Unit, Macerata Hospital, 62012 Macerata, Italy;
| | - Rodolfo Montironi
- Section of Pathological Anatomy, Polytechnic University of Marche, United Hospitals, 60126 Ancona, Italy; (A.C.); (R.M.)
| | - Francesco Piva
- Department of Specialistic Clinical & Odontostomatological Sciences, Polytechnic University of Marche, 60126 Ancona, Italy; (M.G.); (M.C.); (B.S.)
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17
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Abstract
Changes in glycosylation on proteins or lipids are one of the hallmarks of tumorigenesis. In many cases, it is still not understood how glycan information is translated into biological function. In this review, we discuss at the example of specific cancer-related glycoproteins how their endocytic uptake into eukaryotic cells is tuned by carbohydrate modifications. For this, we not only focus on overall uptake rates, but also illustrate how different uptake processes-dependent or not on the conventional clathrin machinery-are used under given glycosylation conditions. Furthermore, we discuss the role of certain sugar-binding proteins, termed galectins, to tune glycoprotein uptake by inducing their crosslinking into lattices, or by co-clustering them with glycolipids into raft-type membrane nanodomains from which the so-called clathrin-independent carriers (CLICs) are formed for glycoprotein internalization into cells. The latter process has been termed glycolipid-lectin (GL-Lect) hypothesis, which operates in a complementary manner to the clathrin pathway and galectin lattices.
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Affiliation(s)
- Ludger Johannes
- Cellular and Chemical Biology Unit, INSERM U1143, CNRS UMR3666, Institut Curie, PSL Research University, 26 rue d'Ulm, 75248, Paris Cedex 05, France.
| | - Anne Billet
- Cellular and Chemical Biology Unit, INSERM U1143, CNRS UMR3666, Institut Curie, PSL Research University, 26 rue d'Ulm, 75248, Paris Cedex 05, France.,Université de Paris, F-75005, Paris, France
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18
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D’Anneo A, Bavisotto CC, Gammazza AM, Paladino L, Carlisi D, Cappello F, de Macario EC, Macario AJL, Lauricella M. Lipid chaperones and associated diseases: a group of chaperonopathies defining a new nosological entity with implications for medical research and practice. Cell Stress Chaperones 2020; 25:805-820. [PMID: 32856199 PMCID: PMC7591661 DOI: 10.1007/s12192-020-01153-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 07/16/2020] [Accepted: 08/10/2020] [Indexed: 02/08/2023] Open
Abstract
Fatty acid-binding proteins (FABPs) are lipid chaperones assisting in the trafficking of long-chain fatty acids with functions in various cell compartments, including oxidation, signaling, gene-transcription regulation, and storage. The various known FABP isoforms display distinctive tissue distribution, but some are active in more than one tissue. Quantitative and/or qualitative changes of FABPs are associated with pathological conditions. Increased circulating levels of FABPs are biomarkers of disorders such as obesity, insulin resistance, cardiovascular disease, and cancer. Deregulated expression and malfunction of FABPs can result from genetic alterations or posttranslational modifications and can be pathogenic. We have assembled the disorders with abnormal FABPs as chaperonopathies in a distinct nosological entity. This entity is similar but separate from that encompassing the chaperonopathies pertaining to protein chaperones. In this review, we discuss the role of FABPs in the pathogenesis of metabolic syndrome, cancer, and neurological diseases. We highlight the opportunities for improving diagnosis and treatment that open by encompassing all these pathological conditions within of a coherent nosological group, focusing on abnormal lipid chaperones as biomarkers of disease and etiological-pathogenic factors.
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Affiliation(s)
- Antonella D’Anneo
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), Laboratory of Biochemistry, University of Palermo, 90127 Palermo, Italy
| | - Celeste Caruso Bavisotto
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BIND), Institute of Anatomy, University of Palermo, 90127 Palermo, Italy
- Euro-Mediterranean Institute of Science and Technology (IEMEST), 90139 Palermo, Italy
| | - Antonella Marino Gammazza
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BIND), Institute of Anatomy, University of Palermo, 90127 Palermo, Italy
- Euro-Mediterranean Institute of Science and Technology (IEMEST), 90139 Palermo, Italy
| | - Letizia Paladino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BIND), Institute of Anatomy, University of Palermo, 90127 Palermo, Italy
- Euro-Mediterranean Institute of Science and Technology (IEMEST), 90139 Palermo, Italy
| | - Daniela Carlisi
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BIND), Institute of Biochemistry, University of Palermo, 90127 Palermo, Italy
| | - Francesco Cappello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BIND), Institute of Anatomy, University of Palermo, 90127 Palermo, Italy
- Euro-Mediterranean Institute of Science and Technology (IEMEST), 90139 Palermo, Italy
| | - Everly Conway de Macario
- Euro-Mediterranean Institute of Science and Technology (IEMEST), 90139 Palermo, Italy
- Department of Microbiology and Immunology, School of Medicine, University of Maryland at Baltimore-Institute of Marine and Environmental Technology (IMET), Baltimore, MD 21202 USA
| | - Alberto J. L. Macario
- Euro-Mediterranean Institute of Science and Technology (IEMEST), 90139 Palermo, Italy
- Department of Microbiology and Immunology, School of Medicine, University of Maryland at Baltimore-Institute of Marine and Environmental Technology (IMET), Baltimore, MD 21202 USA
| | - Marianna Lauricella
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BIND), Institute of Biochemistry, University of Palermo, 90127 Palermo, Italy
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19
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Yin S, Wang X, Jia G, Xie Y. MIXnorm: normalizing RNA-seq data from formalin-fixed paraffin-embedded samples. Bioinformatics 2020; 36:3401-3408. [PMID: 32134470 DOI: 10.1093/bioinformatics/btaa153] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 02/21/2020] [Accepted: 02/28/2020] [Indexed: 01/18/2023] Open
Abstract
MOTIVATION Recent studies have shown that RNA-sequencing (RNA-seq) can be used to measure mRNA of sufficient quality extracted from formalin-fixed paraffin-embedded (FFPE) tissues to provide whole-genome transcriptome analysis. However, little attention has been given to the normalization of FFPE RNA-seq data, a key step that adjusts for unwanted biological and technical effects that can bias the signal of interest. Existing methods, developed based on fresh-frozen or similar-type samples, may cause suboptimal performance. RESULTS We proposed a new normalization method, labeled MIXnorm, for FFPE RNA-seq data. MIXnorm relies on a two-component mixture model, which models non-expressed genes by zero-inflated Poisson distributions and models expressed genes by truncated normal distributions. To obtain maximum likelihood estimates, we developed a nested EM algorithm, in which closed-form updates are available in each iteration. By eliminating the need for numerical optimization in the M-step, the algorithm is easy to implement and computationally efficient. We evaluated MIXnorm through simulations and cancer studies. MIXnorm makes a significant improvement over commonly used methods for RNA-seq expression data. AVAILABILITY AND IMPLEMENTATION R code available at https://github.com/S-YIN/MIXnorm. CONTACT swang@smu.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Shen Yin
- Department of Statistical Science, Southern Methodist University, Dallas, TX 75275-0332, USA.,Department of Population and Data Sciences, Quantitative Biomedical Research Center, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xinlei Wang
- Department of Statistical Science, Southern Methodist University, Dallas, TX 75275-0332, USA
| | - Gaoxiang Jia
- Department of Statistical Science, Southern Methodist University, Dallas, TX 75275-0332, USA
| | - Yang Xie
- Department of Population and Data Sciences, Quantitative Biomedical Research Center, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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20
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Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma. Biosci Rep 2020; 40:226068. [PMID: 32789468 PMCID: PMC7494988 DOI: 10.1042/bsr20200492] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 08/05/2020] [Accepted: 08/06/2020] [Indexed: 12/17/2022] Open
Abstract
The present work aimed to evaluate the prognostic value of overall survival (OS)-related genes in clear cell renal cell carcinoma (ccRCC) and to develop a nomogram for clinical use. Transcriptome data from The Cancer Genome Atlas (TCGA) were collected to screen differentially expressed genes (DEGs) between ccRCC patients with OS > 5 years (149 patients) and those with <1 year (52 patients). In TCGA training set (265 patients), seven DEGs (cytochrome P450 family 3 subfamily A member 7 (CYP3A7), contactin-associated protein family member 5 (CNTNAP5), adenylate cyclase 2 (ADCY2), TOX high mobility group box family member 3 (TOX3), plasminogen (PLG), enamelin (ENAM), and collagen type VII α 1 chain (COL7A1)) were further selected to build a prognostic risk signature by the least absolute shrinkage and selection operator (LASSO) Cox regression model. Survival analysis confirmed that the OS in the high-risk group was dramatically shorter than their low-risk counterparts. Next, univariate and multivariate Cox regression revealed the seven genes-based risk score, age, and Tumor, lymph Node, and Metastasis staging system (TNM) stage were independent prognostic factors to OS, based on which a novel nomogram was constructed and validated in both TCGA validation set (265 patients) and the International Cancer Genome Consortium cohort (ICGC, 84 patients). A decent predictive performance of the nomogram was observed, the C-indices and corresponding 95% confidence intervals of TCGA training set, validation set, and ICGC cohort were 0.78 (0.74–0.82), 0.75 (0.70–0.80), and 0.70 (0.60–0.80), respectively. Moreover, the calibration plots of 3- and 5 years survival probability indicated favorable curve-fitting performance in the above three groups. In conclusion, the proposed seven genes signature-based nomogram is a promising and robust tool for predicting the OS of ccRCC, which may help tailor individualized therapeutic strategies.
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Wang Z, Wang X, Zou H, Dai Z, Feng S, Zhang M, Xiao G, Liu Z, Cheng Q. The Basic Characteristics of the Pentraxin Family and Their Functions in Tumor Progression. Front Immunol 2020; 11:1757. [PMID: 33013829 PMCID: PMC7461825 DOI: 10.3389/fimmu.2020.01757] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 06/30/2020] [Indexed: 02/05/2023] Open
Abstract
The pentraxin is a superfamily of proteins with the same domain known as the pentraxin domain at C-terminal. This family has two subgroups, namely; short pentraxins (C-reactive protein and serum amyloid P component) and long pentraxins (neuronal pentraxin 1, neuronal pentraxin 2, neuronal pentraxin receptor, pentraxin 3 and pentraxin 4). Each group shares a similar structure with the pentameric complexes arranged in a discoid shape. Previous studies revealed the functions of different pentraxin family members. Most of them are associated with human innate immunity. Inflammation has commonly been associated with tumor progression, implying that the pentraxin family might also participate in tumor progression. Therefore, we reviewed the basic characteristics and functions of the pentraxin family and their role in tumor progression.
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Affiliation(s)
- Zeyu Wang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Xing Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Hecun Zou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Songshan Feng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Mingyu Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Gelei Xiao
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Changsha, China.,Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
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22
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Mou Y, Zhang Y, Wu J, Hu B, Zhang C, Duan C, Li B. The Landscape of Iron Metabolism-Related and Methylated Genes in the Prognosis Prediction of Clear Cell Renal Cell Carcinoma. Front Oncol 2020; 10:788. [PMID: 32528886 PMCID: PMC7256878 DOI: 10.3389/fonc.2020.00788] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 04/22/2020] [Indexed: 12/16/2022] Open
Abstract
Background: Clear cell renal cell carcinoma (ccRCC) is characteristics of resistance to chemotherapy and radiotherapy. The prognosis of ccRCC was dismay with immense diversity. Iron metabolism disturbance is a common phenomenon in ccRCC. The purpose of our study is to identify and validate the candidate prognostic gene signature of iron metabolism and methylation closely related to the poor prognosis of ccRCC through comprehensive bioinformatics analysis in The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Methods: The prognostic iron metabolism-related genes were screened according to the overlapping differentially expressed genes (DEGs) from the TCGA database. We built a prognostic model using risk score method to predict OS, each ccRCC patient's risk score was calculated, and the resulting score can divide these patients into two categories according to the cut-point risk score. The prognostic significance of the hub genes was further evaluated with the Kaplan-Meier (KM) survival and Receiver Operating Characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analysis was implemented to evaluate the impact of each variable on OS. Furthermore, the prediction power of the 25 gene signatures has been validated using an independent ccRCC cohort from the GEO database. The Gene Set Enrichment Analysis (GSEA) identified the characteristics of hub related oncogenes. Finally, we utilize Weighted Gene Co-expression Network Analysis (WGCNA) to investigate the co-expression network based on these DEGs. Results: In this study, we identified and validated 25 iron metabolism-related and methylated genes as the prognostic signatures, which differentiated ccRCC patients into high and low risk subgroups. The KM analysis showed that the survival rate of the high-risk patients was significantly lower than that of the low-risk patients. The risk score calculated with 25 gene signatures could largely predict OS and DFS for 1, 3, and 5 years in patients with ccRCC. Conclusions: Taken together, we identified the key iron metabolism-related and methylated genes for ccRCC through a comprehensive bioinformatics analysis. This study provides a reliable and robust gene signature for the prognostic predictor of ccRCC patients and maybe provides a promising treatment strategy for this lethal disease.
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Affiliation(s)
- Yanhua Mou
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Institute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, China
| | - Yao Zhang
- State Key Laboratory of Reproductive Medicine and Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jinchun Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Busheng Hu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Chunfang Zhang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Chaojun Duan
- Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Institute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, China.,Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Li
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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Klimentova EA, Gilyazova IR, Bermisheva MA, Blinnikova AM, Safiullin RI, Izmailov AA, Yang B, Pavlov VN, Khusnutdinova EK. Investigation of the Role of microRNA Associated with the VHL-HIFα-Dependent Pathway in Patients with Clear Cell Renal Cell Carcinoma. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420030096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Antiparkinson Drug Benztropine Suppresses Tumor Growth, Circulating Tumor Cells, and Metastasis by Acting on SLC6A3/DAT and Reducing STAT3. Cancers (Basel) 2020; 12:cancers12020523. [PMID: 32102440 PMCID: PMC7072357 DOI: 10.3390/cancers12020523] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 02/18/2020] [Accepted: 02/20/2020] [Indexed: 12/12/2022] Open
Abstract
Tumor growth, progression, and therapy resistance are crucial factors in the prognosis of cancer. The properties of three-dimensional (3D) tumor-like organoids (tumoroids) more closely resemble in vivo tumors compared to two-dimensionally cultured cells and are therefore effectively used for assays and drug screening. We here established a repurposed drug for novel anticancer research and therapeutics using a 3D tumoroid-based screening system. We screened six pharmacologically active compounds by using an original tumoroid-based multiplex phenotypic screening system with a matrix metalloproteinase 9 (MMP9) promoter-driven fluorescence reporter for the evaluation of both tumoroid formation and progression. The antiparkinson drug benztropine was the most effective compound uncovered by the screen. Benztropine significantly inhibited in vitro tumoroid formation, cancer cell survival, and MMP9 promoter activity. Benztropine also reduced the activity of oncogenic signaling transducers and trans-activators for MMP9, including STAT3, NF-κB, and β-catenin, and the properties of cancer stem cells/cancer-initiating cells. Benztropine and GBR-12935 directly targeted the dopamine transporter DAT/SLC6A3, whose genetic alterations such as amplification were correlated with poor prognosis for cancer patients. Benztropine also inhibited the tumor growth, circulating tumor cell (CTC) number, and rate of metastasis in a tumor allograft model in mice. In conclusion, we propose the repurposing of benztropine for anticancer research and therapeutics that can suppress tumor progression, CTC, and metastasis of aggressive cancers by reducing key pro-tumorigenic factors.
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Strick A, Hagen F, Gundert L, Klümper N, Tolkach Y, Schmidt D, Kristiansen G, Toma M, Ritter M, Ellinger J. The
N
6
‐methyladenosine (m
6
A) erasers alkylation repair homologue 5 (ALKBH5) and fat mass and obesity‐associated protein (FTO) are prognostic biomarkers in patients with clear cell renal carcinoma. BJU Int 2020; 125:617-624. [DOI: 10.1111/bju.15019] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/16/2020] [Indexed: 12/24/2022]
Affiliation(s)
- Alexander Strick
- Klinik und Poliklinik für Urologie und Kinderurologie Universitätsklinikum Bonn Bonn Germany
| | - Felix Hagen
- Klinik und Poliklinik für Urologie und Kinderurologie Universitätsklinikum Bonn Bonn Germany
| | - Larissa Gundert
- Klinik und Poliklinik für Urologie und Kinderurologie Universitätsklinikum Bonn Bonn Germany
| | - Niklas Klümper
- Klinik und Poliklinik für Urologie und Kinderurologie Universitätsklinikum Bonn Bonn Germany
| | - Yuri Tolkach
- Institut für Pathologie Universitätsklinikum Bonn Bonn Germany
| | - Doris Schmidt
- Klinik und Poliklinik für Urologie und Kinderurologie Universitätsklinikum Bonn Bonn Germany
| | | | - Marieta Toma
- Institut für Pathologie Universitätsklinikum Bonn Bonn Germany
| | - Manuel Ritter
- Klinik und Poliklinik für Urologie und Kinderurologie Universitätsklinikum Bonn Bonn Germany
| | - Jörg Ellinger
- Klinik und Poliklinik für Urologie und Kinderurologie Universitätsklinikum Bonn Bonn Germany
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26
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Groß A, Chernyakov D, Gallwitz L, Bornkessel N, Edemir B. Deletion of Von Hippel-Lindau Interferes with Hyper Osmolality Induced Gene Expression and Induces an Unfavorable Gene Expression Pattern. Cancers (Basel) 2020; 12:cancers12020420. [PMID: 32059438 PMCID: PMC7073186 DOI: 10.3390/cancers12020420] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 01/31/2020] [Accepted: 02/06/2020] [Indexed: 12/19/2022] Open
Abstract
Loss of von Hippel–Lindau (VHL) protein function can be found in more than 90% of patients with clear cell renal carcinoma (ccRCC). Mice lacking Vhl function in the kidneys have urine concentration defects due to postulated reduction of the hyperosmotic gradient. Hyperosmolality is a kidney-specific microenvironment and induces a unique gene expression pattern. This gene expression pattern is inversely regulated in patients with ccRCC with consequences for cancer-specific survival. Within this study, we tested the hypothesis if Vhl function influences the hyperosmolality induced changes in gene expression. We made use of the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 technology to inhibit functional Vhl expression in murine collecting duct cell line. Loss of Vhl function induced morphological changes within the cells similar to epithelial to mesenchymal transition like phenotype. Vhl-deficient cells migrated faster and proliferated slower compared to control cells. Gene expression profiling showed significant changes in gene expression patterns in Vhl-deficient cells compared to control cells. Several genes with unfavorable outcomes showed induced and genes with favorable outcomes for patients with renal cancer reduced gene expression level. Under hyperosmotic condition, the expression of several hyperosmolality induced genes, with favorable prognostic value, was downregulated in cells that do not express functional Vhl. Taken together, this study shows that Vhl interferes with hyperosmotic signaling pathway and hyperosmolality affected pathways might represent new promising targets.
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Affiliation(s)
| | | | | | | | - Bayram Edemir
- Correspondence: ; Tel.: +49-345-557-4890; Fax: +49-345-557-2950
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Wang W, Wang S, Zhang M. Evaluation of kininogen 1, osteopontin and α-1-antitrypsin in plasma, bronchoalveolar lavage fluid and urine for lung squamous cell carcinoma diagnosis. Oncol Lett 2020; 19:2785-2792. [PMID: 32218831 PMCID: PMC7068235 DOI: 10.3892/ol.2020.11376] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 01/14/2020] [Indexed: 12/25/2022] Open
Abstract
Lung squamous cell carcinoma (LUSC) progression is accompanied by changes in protein levels that may be reflected in body fluids, such as plasma, bronchoalveolar lavage fluid (BALF) and urine. Certain proteins present in these biofluids can facilitate lung cancer diagnosis. Kininogen 1 (KNG1), osteopontin (OPN) and α-1-antitrypsin (AAT) are associated with tumorigenesis. The present study aimed to explore the combined monitoring of plasma, urine and BALF to gain insight into LUSC by monitoring the levels of the above three protein using ELISA. LUSC (n=31) and healthy controls with benign lung diseases (n=20) were enrolled in the study. KNG1 levels in plasma, BALF and urine were significantly higher in patients with LUSC patients than in controls (P<0.0001, P<0.0001 and P=0.0010, respectively). OPN was upregulated in the plasma and BALF of patients with LUSC relative to controls (P=0.0107 and P=0.0004, respectively), whereas its levels in the urine of healthy controls were significantly higher (P=0.0088). Patients with LUSC had higher AAT levels in plasma, BALF and urine compared with those of the controls (P=0.0022, P=0.0014 and P=0.0005, respectively). Receiver operating characteristic analysis showed an area under the curve (AUC) of 0.81 for KNG1 in plasma, 0.91 in BALF and 0.81 in urine. The AUC for OPN was 0.71 in plasma, 0.83 in BALF and 0.75 in urine. The AUC for AAT was 0.74 in plasma, 0.74 in BALF and 0.86 in urine. Immunohistochemical staining in 20 paired LUSC and adjacent normal tissues showed that KNG1, OPN and AAT levels were higher in LUSC tissues. Therefore, our results showed that KNG1, OPN and AAT in biofluids might be useful for the diagnosis of LUSC. These markers in urine and BALF may be better than in plasma for detecting LUSC.
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Affiliation(s)
- Weiwei Wang
- Department of Pulmonary and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China
| | - Shanshan Wang
- Department of Pulmonary and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China
| | - Man Zhang
- Department of Clinical Laboratory Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China.,Beijing Key Laboratory of Urinary Cellular Molecular Diagnostics, Department of Clinical Laboratory Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China
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28
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Simonovic S, Hinze C, Schmidt-Ott KM, Busch J, Jung M, Jung K, Rabien A. Limited utility of qPCR-based detection of tumor-specific circulating mRNAs in whole blood from clear cell renal cell carcinoma patients. BMC Urol 2020; 20:7. [PMID: 32013938 PMCID: PMC6998103 DOI: 10.1186/s12894-019-0542-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 10/21/2019] [Indexed: 02/08/2023] Open
Abstract
Background RNA sequencing data is providing abundant information about the levels of dysregulation of genes in various tumors. These data, as well as data based on older microarray technologies have enabled the identification of many genes which are upregulated in clear cell renal cell carcinoma (ccRCC) compared to matched normal tissue. Here we use RNA sequencing data in order to construct a panel of highly overexpressed genes in ccRCC so as to evaluate their RNA levels in whole blood and determine any diagnostic potential of these levels for renal cell carcinoma patients. Methods A bioinformatics analysis with Python was performed using TCGA, GEO and other databases to identify genes which are upregulated in ccRCC while being absent in the blood of healthy individuals. Quantitative Real Time PCR (RT-qPCR) was subsequently used to measure the levels of candidate genes in whole blood (PAX gene) of 16 ccRCC patients versus 11 healthy individuals. PCR results were processed in qBase and GraphPadPrism and statistics was done with Mann-Whitney U test. Results While most analyzed genes were either undetectable or did not show any dysregulated expression, two genes, CDK18 and CCND1, were paradoxically downregulated in the blood of ccRCC patients compared to healthy controls. Furthermore, LOX showed a tendency towards upregulation in metastatic ccRCC samples compared to non-metastatic. Conclusions This analysis illustrates the difficulty of detecting tumor regulated genes in blood and the possible influence of interference from expression in blood cells even for genes conditionally absent in normal blood. Testing in plasma samples indicated that tumor specific mRNAs were not detectable. While CDK18, CCND1 and LOX mRNAs might carry biomarker potential, this would require validation in an independent, larger patient cohort.
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Affiliation(s)
- Sinisa Simonovic
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany. .,Berlin Institute for Urologic Research, Berlin, Germany. .,Max-Delbrück-Center for Molecular Medicine (MDC), Berlin, Germany.
| | - Christian Hinze
- Max-Delbrück-Center for Molecular Medicine (MDC), Berlin, Germany
| | - Kai M Schmidt-Ott
- Max-Delbrück-Center for Molecular Medicine (MDC), Berlin, Germany.,Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jonas Busch
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Monika Jung
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Klaus Jung
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Berlin Institute for Urologic Research, Berlin, Germany
| | - Anja Rabien
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Berlin Institute for Urologic Research, Berlin, Germany
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Zhang Z, Lin E, Zhuang H, Xie L, Feng X, Liu J, Yu Y. Construction of a novel gene-based model for prognosis prediction of clear cell renal cell carcinoma. Cancer Cell Int 2020; 20:27. [PMID: 32002016 PMCID: PMC6986036 DOI: 10.1186/s12935-020-1113-6] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 01/17/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Clear cell renal cell carcinoma (ccRCC) comprises the majority of kidney cancer death worldwide, whose incidence and mortality are not promising. Identifying ideal biomarkers to construct a more accurate prognostic model than conventional clinical parameters is crucial. METHODS Raw count of RNA-sequencing data and clinicopathological data were acquired from The Cancer Genome Atlas (TCGA). Tumor samples were divided into two sets. Differentially expressed genes (DEGs) were screened in the whole set and prognosis-related genes were identified from the training set. Their common genes were used in LASSO and best subset regression which were performed to identify the best prognostic 5 genes. The gene-based risk score was developed based on the Cox coefficient of the individual gene. Time-dependent receiver operating characteristic (ROC) and Kaplan-Meier (KM) survival analysis were used to assess its prognostic power. GSE29609 dataset from GEO (Gene Expression Omnibus) database was used to validate the signature. Univariate and multivariate Cox regression were performed to screen independent prognostic parameters to construct a nomogram. The predictive power of the nomogram was revealed by time-dependent ROC curves and the calibration plot and verified in the validation set. Finally, Functional enrichment analysis of DEGs and 5 novel genes were performed to suggest the potential biological pathways. RESULTS PADI1, ATP6V0D2, DPP6, C9orf135 and PLG were screened to be significantly related to the prognosis of ccRCC patients. The risk score effectively stratified the patients into high-risk group with poor overall survival (OS) based on survival analysis. AJCC-stage, age, recurrence and risk score were regarded as independent prognostic parameters by Cox regression analysis and were used to construct a nomogram. Time-dependent ROC curves showed the nomogram performed best in 1-, 3- and 5-year survival predictions compared with AJCC-stage and risk score in validation sets. The calibration plot showed good agreement of the nomogram between predicted and observed outcomes. Functional enrichment analysis suggested several enriched biological pathways related to cancer. CONCLUSIONS In our study, we constructed a gene-based model integrating clinical prognostic parameters to predict prognosis of ccRCC well, which might provide a reliable prognosis assessment tool for clinician and aid treatment decision-making in the clinic.
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Affiliation(s)
- Zedan Zhang
- Department of Urology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Enyu Lin
- Department of Urology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Hongkai Zhuang
- Department of Urology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Lu Xie
- Department of Urology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaoqiang Feng
- Department of Immunology, School of Basic Medical Science, Southern Medical University, Guangzhou, China
| | - Jiumin Liu
- Department of Urology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yuming Yu
- Department of Urology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Lei Y, Zeng L, Xie S, Fan K, Yu Y, Chen J, Zhang S, Wang Z, Zhong L. Sertraline/ICG-loaded liposome for dual-modality imaging and effective chemo-photothermal combination therapy against metastatic clear cell renal cell carcinoma. Chem Biol Drug Des 2020; 95:320-331. [PMID: 31820570 DOI: 10.1111/cbdd.13652] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 11/10/2019] [Accepted: 11/23/2019] [Indexed: 12/24/2022]
Abstract
A large number of chemotherapeutic drugs, utilized in the treatment of advanced metastatic clear cell renal cell carcinoma, are typically prone to poor biocompatibility, lack of targeting specificity, and high toxicity, which mostly leads to unsatisfactory clinical outcomes. As a new drug delivery pathway, nanoliposomes have the advantages of simplifying metabolism, reducing drug side-effects, and providing specific targeting, which can potentially improve the therapeutic effect toward tumor therapy. In this study, a clinically integrated nanoliposome containing Sertraline Hydrochloride and indocyanine green (ICG), here named as Ser/ICG@Lip, was successfully synthesized by film-dispersion and hydration-sonication methods. The photoacoustic imaging and near-infrared fluorescence imaging capabilities of this novel nanoliposome were validated in vitro. The high encapsulation rate of Sertraline Hydrochloride and ICG ensured the safety and therapeutic efficacy of the particle. Moreover, our results suggest that chemo-photothermal combination therapy can be more effective than single photothermal or chemotherapy treatments against malignant tumor cells. This is the first study introducing Sertraline Hydrochloride as a liposome-encapsulated chemotherapeutic agent, containing photothermal capabilities, for the treatment of metastatic renal clear cell cancer cells. This novel drug system has potential to evolve into an alternate treatment method for metastatic clear cell renal cell carcinoma.
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Affiliation(s)
- Yuting Lei
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Zeng
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Institute of Ultrasound Imaging, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shuqing Xie
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kui Fan
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuan Yu
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jianwei Chen
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Siliang Zhang
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhigang Wang
- Institute of Ultrasound Imaging, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ling Zhong
- Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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31
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Ciarimboli G, Theil G, Bialek J, Edemir B. Contribution and Expression of Organic Cation Transporters and Aquaporin Water Channels in Renal Cancer. Rev Physiol Biochem Pharmacol 2020; 181:81-104. [PMID: 32772272 DOI: 10.1007/112_2020_34] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The body homeostasis is maintained mainly by the function of the kidneys, which regulate salt and water balance and excretion of metabolism waste products and xenobiotics. This important renal function is determined by the action of many transport systems, which are specifically expressed in the different parts of the nephron, the functional unit of the kidneys. These transport systems are involved, for example, in the reabsorption of sodium, glucose, and other important solutes and peptides from the primary urine. They are also important in the reabsorption of water and thereby production of a concentrated urine. However, several studies have shown the importance of transport systems for different tumor entities. Transport systems, for example, contributed to the proliferation and migration of cancer cells and thereby on tumor progression. They could also serve as drug transporters that could enable drug resistance by outward transport of, for example, chemotherapeutic agents and other drugs. Although many renal transporters have been characterized in detail with respect to the significance for proper kidney function, their role in renal cancer progression is less known. Here, we describe the types of renal cancer and review the studies that analyzed the role of organic cation transporters of the SLC22-family and of the aquaporin water channel family in kidney tumors.
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Affiliation(s)
- Giuliano Ciarimboli
- Medicine Clinic D, Experimental Nephrology, University Hospital of Münster, Münster, Germany
| | - Gerit Theil
- Clinic of Urology, University Hospital, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Joanna Bialek
- Clinic of Urology, University Hospital, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Bayram Edemir
- Department of Medicine, Hematology and Oncology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
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RNA Sequencing of Collecting Duct Renal Cell Carcinoma Suggests an Interaction between miRNA and Target Genes and a Predominance of Deregulated Solute Carrier Genes. Cancers (Basel) 2019; 12:cancers12010064. [PMID: 31878355 PMCID: PMC7017122 DOI: 10.3390/cancers12010064] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 12/19/2019] [Accepted: 12/22/2019] [Indexed: 02/07/2023] Open
Abstract
Collecting duct carcinoma (CDC) is a rare renal cell carcinoma subtype with a very poor prognosis. There have been only a few studies on gene expression analysis in CDCs. We compared the gene expression profiles of two CDC cases with those of eight normal tissues of renal cell carcinoma patients. At a threshold of |log2fold-change| ≥1, 3349 genes were upregulated and 1947 genes were downregulated in CDCs compared to the normal samples. Pathway analysis of the deregulated genes revealed that cancer pathways and cell cycle pathways were most prominent in CDCs. The most upregulated gene was keratin 17, and the most downregulated gene was cubilin. Among the most downregulated genes were four solute carrier genes (SLC3A1, SLC9A3, SLC26A7, and SLC47A1). The strongest negative correlations between miRNAs and mRNAs were found between the downregulated miR-374b-5p and its upregulated target genes HIST1H3B, HK2, and SLC7A11 and between upregulated miR-26b-5p and its downregulated target genes PPARGC1A, ALDH6A1, and MARC2. An upregulation of HK2 and a downregulation of PPARGC1A, ALDH6A1, and MARC2 were observed at the protein level. Survival analysis of the cancer genome atlas (TCGA) dataset showed for the first time that low gene expression of MARC2, cubilin, and SLC47A1 and high gene expression of KRT17 are associated with poor overall survival in clear cell renal cell carcinoma patients. Altogether, we identified dysregulated protein-coding genes, potential miRNA-target interactions, and prognostic markers that could be associated with CDC.
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Xu WH, Shi SN, Wang J, Xu Y, Tian X, Wan FN, Cao DL, Qu YY, Zhang HL, Ye DW. The Role of Serine Peptidase Inhibitor Kazal Type 13 (SPINK13) as a Clinicopathological and Prognostic Biomarker in Patients with Clear Cell Renal Cell Carcinoma. Med Sci Monit 2019; 25:9458-9470. [PMID: 31825950 PMCID: PMC6926094 DOI: 10.12659/msm.917754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background The serine peptidase inhibitor Kazal type 13 (SPINK13) gene has tumor suppressor activity, but its role in renal cell carcinoma (RCC) remains unknown. This study aimed to investigate mRNA expression of SPINK13 in clear cell renal cell carcinoma (CCRCC) in human tissue and to use bioinformatics data to investigate the role of SPINK13 expression as a clinicopathological and prognostic biomarker for patients with CCRCC. Material/Methods Patients with CCRCC (N=533) with available RNA sequence data from The Cancer Genome Atlas (TCGA)-CCRCC database were analyzed with patients who had a tissue diagnosis of CCRCC (N=305) at the Fudan University Shanghai Cancer Center (FUSCC). Differential transcriptional and proteome expression profiles were obtained from the ONCOMINE cancer microarray database, TCGA, and the Human Protein Atlas (HPA) database. Quantitative reverse transcription-polymerase chain reaction (RT-qPCR) measured SPINK13 mRNA expression in 305 samples of CCRCC tissue from the FUSCC. The effects of clinicopathological parameters on progression-free survival (PFS) and overall survival (OS) were analyzed using the Kaplan-Meier and log-rank test. Results Transcriptional and proteome expression of SPINK13 were significantly increased CCRCC tissue samples. Increased SPINK13 mRNA expression was significantly associated with reduced PFS and OS in 838 patients with CCRCC patients from the two independent cohorts, the FUSCC and the TCGA-CCRCC cohorts (p<0.01). Gene set enrichment analysis (GSEA) showed that SPINK13 expression was involved in complement, apical junction, epithelial-mesenchymal transition (EMT), glycolysis, hypoxia, and inflammation signaling pathways. Conclusions Increased expression of SPINK13 was associated with poor prognosis in patients with CCRCC.
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Affiliation(s)
- Wen-Hao Xu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
| | - Shen-Nan Shi
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland).,Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China (mainland)
| | - Jun Wang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
| | - Yue Xu
- Department of Ophthalmology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland)
| | - Xi Tian
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
| | - Fang-Ning Wan
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
| | - Da-Long Cao
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
| | - Yuan-Yuan Qu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
| | - Hai-Liang Zhang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
| | - Ding-Wei Ye
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China (mainland).,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (mainland)
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Stein J, Tenbrock J, Kristiansen G, Müller SC, Ellinger J. Systematic expression analysis of the mitochondrial respiratory chain protein subunits identifies COX5B as a prognostic marker in clear cell renal cell carcinoma. Int J Urol 2019; 26:910-916. [PMID: 31280487 DOI: 10.1111/iju.14040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 05/19/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To analyze the expression of mitochondrial respiratory chain protein subunits in clear cell renal cell carcinoma. METHODS Possible prognostic candidates were determined using The Cancer Genome Atlas database (n = 605). The database provided valid messenger ribonucleic acid expression data for 93 genes encoding for the subunits. Selected subunits were further investigated at the messenger ribonucleic acid and protein level by real-time polymerase chain reaction, western blot and immunohistochemistry with the cohorts of the University Hospital Bonn. RESULTS The Cancer Genome Atlas messenger ribonucleic acid expression data indicated univariate and multivariate prognostic impact for seven subunits (NDUFS8, NDUFS7, COX5B, COX6B1, SDHD, COX15 and COX19). Using real-time polymerase chain reaction, significant downregulation (P < 0.05, n = 74) could be shown for COX5B, COX6B1, NDUFS7 and NDUF8 in clear cell renal cell carcinoma tissue. Survival analysis of polymerase chain reaction data showed a non-significant relationship (P = 0.067) of high COX5B expression and poor overall survival. Western blot (n = 8) and immunohistochemistry analysis (n = 167) confirmed significant COX5B downregulation on the protein level. Immunohistochemistry analysis identified COX5B as a prognostic marker for overall (P = 0.017) and cancer-specific survival (P = 0.042). CONCLUSIONS The present study findings suggest downregulation of additional subunits of mitochondrial respiratory chain proteins in clear cell renal cell carcinoma. Remarkably, COX5B, a subunit of the respiratory chain complex IV, can be identified as a novel prognostic marker.
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Affiliation(s)
- Johannes Stein
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | - Julia Tenbrock
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | | | - Stefan C Müller
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | - Jörg Ellinger
- Department of Urology, University Hospital Bonn, Bonn, Germany
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McKillop IH, Girardi CA, Thompson KJ. Role of fatty acid binding proteins (FABPs) in cancer development and progression. Cell Signal 2019; 62:109336. [PMID: 31170472 DOI: 10.1016/j.cellsig.2019.06.001] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 05/31/2019] [Accepted: 06/01/2019] [Indexed: 01/06/2023]
Abstract
Fatty acid binding proteins (FABPs) are small, water soluble proteins that bind long chain fatty acids and other biologically active ligands to facilitate intracellular localization. Twelve FABP family members have been identified to date, with 10 isoforms expressed in humans. Functionally, FABPs are important in fatty acid metabolism and transport, with distinct family members having the capacity to influence gene transcription. Expression of FABPs is usually cell/tissue specific to one predominant FABP family member. Dysregulation of FABP expression can occur through genetic mutation and/or environmental-lifestyle influences. In addition to intracellular function, exogenous, circulating FABP expression can occur and is associated with specific disease states such as insulin resistance. A role for FABPs is increasingly being reported in tumor biology with elevated exogenous FABP expression being associated with tumor progression and invasiveness. However, a less clear role has been appreciated for dysregulated FABP expression during cell transformation and early expansion.
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Affiliation(s)
- Iain H McKillop
- Department of Surgery, Carolinas Medical Center, Atrium Health, Charlotte, NC 28203, USA
| | - Cara A Girardi
- Department of Surgery, Carolinas Medical Center, Atrium Health, Charlotte, NC 28203, USA
| | - Kyle J Thompson
- Department of Surgery, Carolinas Medical Center, Atrium Health, Charlotte, NC 28203, USA.
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36
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Wei L, Lun Y, Zhou X, He S, Gao L, Liu Y, He Z, Li B, Wang C. Novel urokinase-plasminogen activator inhibitor SPINK13 inhibits growth and metastasis of hepatocellular carcinoma in vivo. Pharmacol Res 2019; 143:73-85. [PMID: 30862605 DOI: 10.1016/j.phrs.2019.03.009] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 02/07/2019] [Accepted: 03/08/2019] [Indexed: 12/25/2022]
Abstract
Advanced hepatocellular carcinoma (HCC) is a highly aggressive malignancy that is a serious threat to the public health system of China. Urokinase-plasminogen activator (uPA) can promote the invasive growth and metastasis of HCC cells by activating matrix metalloproteinases (MMPs), leading to the breakage of the extra-cellular matrix. uPA is a promising target for advanced HCC treatment. In this stuy the expression of uPA was examined by quantitative polymerase chain reaction in hepatic cell lines. Protein interaction between uPA and SPINK13 was identified by immunoprecipitation. In vitro biochemical assay was used to examine the inhibitory effect of the SPINK13 on the direct cleaving of the recombinant pro-MMP9 by uPA. The antitumor effect of SPINK13 was examined by transwell assay or the nude mice tumor model.The expression of uPA was much higher in highly aggressive HCC cell lines than in lowly aggressive HCC cell lines or non-tumor hepatic cell lines. SPINK13 interacted with uPA in HCC cells and directly inhibited the cleaving of MMP9 by uPA. Treatment of the recombinant SPINK13 protein inhibited the invasion of HCC cells in several experiments, such as transwell experiments or the intrahepatic growth model. The results of the study indicated that SPINK13 could function as a promising therapeutic approach for patients with advanced HCC.
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Affiliation(s)
- Ling Wei
- Medical School of Chinese PLA & Department of Clinical Laboratory, Medical Laboratory Center, Chinese PLA General Hospital, Beijing 100853, PR China; Beijing Centre for Physical and Chemical Analysis, Beijing 100089, PR China
| | - Yongzhi Lun
- Department of Laboratory Medicine, School of Pharmacy and Medical Technology, Putian University, Putian 351100, Fujian Province, PR China
| | - Xiaoping Zhou
- Beijing Centre for Physical and Chemical Analysis, Beijing 100089, PR China
| | - Shang He
- Medical School of Chinese PLA & Department of Clinical Laboratory, Medical Laboratory Center, Chinese PLA General Hospital, Beijing 100853, PR China
| | - Lijuan Gao
- Beijing Centre for Physical and Chemical Analysis, Beijing 100089, PR China
| | - Yan Liu
- Beijing Centre for Physical and Chemical Analysis, Beijing 100089, PR China
| | - Zheng He
- Medical School of Chinese PLA & Department of Clinical Laboratory, Medical Laboratory Center, Chinese PLA General Hospital, Beijing 100853, PR China
| | - Baoming Li
- Beijing Centre for Physical and Chemical Analysis, Beijing 100089, PR China.
| | - Chengbin Wang
- Medical School of Chinese PLA & Department of Clinical Laboratory, Medical Laboratory Center, Chinese PLA General Hospital, Beijing 100853, PR China.
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Liu J, Liu B, Guo Y, Chen Z, Sun W, Gao W, Wu H, Wang Y. Key miRNAs and target genes played roles in the development of clear cell renal cell carcinoma. Cancer Biomark 2019; 23:279-290. [PMID: 30198869 DOI: 10.3233/cbm-181558] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Clear cell renal cell carcinoma (CCRCC) is the most aggressive form of renal cell carcinoma (RCC). OBJECTIVE This study was aimed to identify the differentially expressed miRNAs and target genes in CCRCC. METHODS The miRNA and mRNA next-generation sequencing data were downloaded from The Cancer Genome Atlas (TCGA) dataset. Differential expression analysis was performed, followed by correlation analysis of miRNA-mRNA. Functional enrichment and survival analysis was also performed. RESULTS Seven hundred and eighty-seven patients with CCRCC from TCGA data portal were included in this study. A total of 52 differentially expressed miRNAs were identified in CCRCC. Then 2361 differentially expressed genes (DEGs) were identified. Prediction analysis and correlation analysis revealed that 89 miRNA-mRNA pairs were not only predicted by algorithms but also had a significant inverse relationship. Several differentially expressed miRNAs such as hsa-mir-501 and their target genes including AK1, SLC25A15 and PCDHGC3 had a significant prognostic value for CCRCC patients. CONCLUSIONS Alterations of differentially expressed miRNAs and target genes may be involved in the development of CCRCC and can be considered as the prognostic markers for CCRCC.
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Luo T, Chen X, Zeng S, Guan B, Hu B, Meng Y, Liu F, Wong T, Lu Y, Yun C, Hocher B, Yin L. Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma. Oncol Lett 2018; 16:1747-1757. [PMID: 30008862 PMCID: PMC6036467 DOI: 10.3892/ol.2018.8842] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 05/22/2018] [Indexed: 12/29/2022] Open
Abstract
The present study aimed to identify new key genes as potential biomarkers for the diagnosis, prognosis or targeted therapy of clear cell renal cell carcinoma (ccRCC). Three expression profiles (GSE36895, GSE46699 and GSE71963) were collected from Gene Expression Omnibus. GEO2R was used to identify differentially expressed genes (DEGs) in ccRCC tissues and normal samples. The Database for Annotation, Visualization and Integrated Discovery was utilized for functional and pathway enrichment analysis. STRING v10.5 and Molecular Complex Detection were used for protein-protein interaction (PPI) network construction and module analysis, respectively. Regulation network analyses were performed with the WebGestal tool. UALCAN web-portal was used for expression validation and survival analysis of hub genes in ccRCC patients from The Cancer Genome Atlas (TCGA). A total of 65 up- and 164 downregulated genes were identified as DEGs. DEGs were enriched with functional terms and pathways compactly related to ccRCC pathogenesis. Seventeen hub genes and one significant module were filtered out and selected from the PPI network. The differential expression of hub genes was verified in TCGA patients. Kaplan-Meier plot showed that high mRNA expression of enolase 2 (ENO2) was associated with short overall survival in ccRCC patients (P=0.023). High mRNA expression of cyclin D1 (CCND1) (P<0.001), fms related tyrosine kinase 1 (FLT1) (P=0.004), plasminogen (PLG) (P<0.001) and von Willebrand factor (VWF) (P=0.008) appeared to serve as favorable factors in survival. These findings indicate that the DEGs may be key genes in ccRCC pathogenesis and five genes, including ENO2, CCND1, PLT1, PLG and VWF, may serve as potential prognostic biomarkers in ccRCC.
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Affiliation(s)
- Ting Luo
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Xiaoyi Chen
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Shufei Zeng
- Department of Nephrology, Charité-Universitätsmedizin Berlin, Campus Mitte, D-10117 Berlin, Germany
| | - Baozhang Guan
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Bo Hu
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Yu Meng
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Fanna Liu
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Taksui Wong
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Yongpin Lu
- Department of Nephrology, Charité-Universitätsmedizin Berlin, Campus Mitte, D-10117 Berlin, Germany
| | - Chen Yun
- Department of Nephrology, Charité-Universitätsmedizin Berlin, Campus Mitte, D-10117 Berlin, Germany
| | - Berthold Hocher
- Institute of Nutritional Sciences, University of Potsdam, D-14558 Potsdam, Germany
| | - Lianghong Yin
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510632, P.R. China
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Yang Y, Zhong Z, Ding Y, Zhang W, Ma Y, Zhou L. Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure. Genes Dis 2018; 5:349-357. [PMID: 30591937 PMCID: PMC6303483 DOI: 10.1016/j.gendis.2018.02.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 02/13/2018] [Indexed: 02/07/2023] Open
Abstract
In order to explore the molecular mechanisms behind the pathogenesis of acute liver failure (ALF) associated with hepatitis B virus (HBV) infection, the present study aimed to identify potential key genes and pathways involved using samples from patients with HBV-associated ALF. The GSE38941 array dataset was downloaded from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) between 10 liver samples from 10 healthy donors and 17 liver specimens from 4 patients with HBV-associated ALF were analyzed using the Linear Models for Microarray Data package. Gene Ontology and KEGG pathway enrichment analyses of the DEGs were performed, followed by functional annotation of the genes and construction of a protein–protein interaction (PPI) network. Subnetwork modules were subsequently identified and analyzed. In total, 3142 DEGs were identified, of which 1755 were upregulated and 1387 were downregulated. The extracellular exosome, immune response, and inflammatory response pathways may potentially be used as biomarkers of ALF pathogenesis. In total, 17 genes (including CCR5, CXCR4, ALB, C3, VGEFA, and IGF1) were identified as hub genes in the PPI network and may therefore be potential marker genes for HBV-associated ALF.
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Key Words
- ALF, acute liver failure
- BP, biological processes
- CC, cell components
- DEGs, differentially expressed genes
- Differentially expressed genes
- Function enrichment analysis
- GEO, Gene Expression Omnibus
- GO, Gene Ontology
- HBV, Hepatitis B Virus
- HBV-associated ALF
- HSPC, hepatic stem/progenitor cells
- KEGG, Kyoto Encyclopedia of Genes and Genomes
- MF, molecular functions
- Module analysis
- OLT, orthotopic liver transplantation
- PPI, protein–protein interaction
- Protein–protein interaction network
- STRING, the Search Tool for the Retrieval of Interacting Genes
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Affiliation(s)
- Yalan Yang
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Zhaohui Zhong
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Yubin Ding
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Wanfeng Zhang
- Department of Bioinformatics, Chongqing Medical University, Chongqing, 400016, China
| | - Yang Ma
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Li Zhou
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
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Systematic expression analysis of the mitochondrial complex III subunits identifies UQCRC1 as biomarker in clear cell renal cell carcinoma. Oncotarget 2018; 7:86490-86499. [PMID: 27845902 PMCID: PMC5349929 DOI: 10.18632/oncotarget.13275] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 10/29/2016] [Indexed: 11/25/2022] Open
Abstract
Mitochondrial dysfunction is common in cancer, and the mitochondrial electron transport chain is often affected in carcinogenesis. So far, few is known about the expression of the mitochondrial complex III (ubiquinol-cytochrome c reductase complex) subunits in clear cell renal cell carcinoma (ccRCC). In this study, the NextBio database was used to determine an expression profile of the mitochondrial complex III subunits based on published microarray studies. We observed that five out of 11 subunits of the complex III were downregulated in at least three microarray studies. The decreased mRNA expression level of UQCRFS1 and UQCRC1 in ccRCC was confirmed using PCR. Low mRNA levels UQCRC1 were also correlated with a shorter period of cancer-specific and overall survival. Furthermore, UQCRFS1 and UQCRC1 were also decreased in ccRCC on the protein level as determined using Western blotting and immunohistochemistry. UQCRC1 protein expression was also lower in ccRCC than in papillary and chromophobe subtypes. Analyzing gene expression and DNA methylation in The Cancer Genome Atlas cohort revealed an inverse correlation of gene expression and DNA methylation, suggesting that DNA hypermethylation is regulating the expression of UQCRC1 and UQCRFS1. Taken together, our data implicate that dysregulated UQCRC1 and UQCRFS1 are involved in impaired mitochondrial electron transport chain function.
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Promoter DNA methylation analysis reveals a novel diagnostic CpG-based biomarker and RAB25 hypermethylation in clear cell renel cell carcinoma. Sci Rep 2017; 7:14200. [PMID: 29079774 PMCID: PMC5660223 DOI: 10.1038/s41598-017-14314-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 10/05/2017] [Indexed: 01/20/2023] Open
Abstract
Clear-cell renal cell carcinoma (ccRCC) is a common aggressive urinary malignant tumor that cannot be easily diagnosed at an early stage. The DNA methylation occurs within promoter before precancerous lesion plays a pivotal role that could help us in diagnosing and understanding ccRCC. In this study, based on a whole-genome promoter DNA methylation profiling, we used shrunken centroids classifier method to identify a CpG-based biomarker that is capable of differentiating between ccRCC tumor and adjacent tissues. The biomarker was validated in 19 ccRCCs and three public datasets. We found that both CYP4B1 and RAB25 are downregulated with promoter hypermethylation and CA9 is upregulated with promoter hypomethylation, and we validated their mRNA differential expressions in 19 ccRCCs and 10 GEO datasets. We further confirmed that hypermethylated RAB25 is inversely correlated with its mRNA level. Log-rank test showed that ccRCC patients with low levels of CA9 promoter methylation had a higher survival rate. This reveals clinically a potential biomarker for use in early detection for ccRCC, and provides a better understanding of carcinogenesis.
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Brüggemann M, Gromes A, Poss M, Schmidt D, Klümper N, Tolkach Y, Dietrich D, Kristiansen G, Müller SC, Ellinger J. Systematic Analysis of the Expression of the Mitochondrial ATP Synthase (Complex V) Subunits in Clear Cell Renal Cell Carcinoma. Transl Oncol 2017; 10:661-668. [PMID: 28672194 PMCID: PMC5496479 DOI: 10.1016/j.tranon.2017.06.002] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 05/31/2017] [Accepted: 06/05/2017] [Indexed: 01/16/2023] Open
Abstract
Mitochondrial dysfunction is common in cancer and the mitochondrial electron transport chain is often affected in carcinogenesis. To date, little is known about the expression of the ATP synthase subunits in clear cell renal cell carcinoma (ccRCC). The NextBio database was used to determine an expression profile of the ATP synthase subunits based on published microarray studies. We observed down-regulation of 23 out of 29 subunits of the ATP synthase. Differential expression was validated exemplarily for 12 genes (ATP5A1, ATP5B, ATPAF1, ATP5C1, ATP5D, ATP5O, ATP5F1, ATP5G1, ATP5G2, ATP5G3, ATP5I, ATP5S; screening cohort ccRCC n = 18 and normal renal tissue n = 10) using real-time PCR. Additional eight genes (ATP5A1, ATP5B, ATPAF1, ATP5F1, ATP5G1, ATP5G2, ATP5G3, ATP5S) were internally validated within an enlarged cohort (ccRCC n = 74; normal renal tissue n = 36). Furthermore, down-regulation of ATP5A1, ATPAF1, ATP5G1/G2/G3 was confirmed on the protein level using Western Blot and immunohistochemistry. We observed that altered expression of ATPAF1 and ATP5G1/G2/G3 was correlated with overall survival in patients with ccRCC. In conclusion, down-regulation of many ATP Synthase subunits occurs in ccRCC and is the basis for the reduced activity of the mitochondrial electron chain. Alteration of the expression of ATP5A1, ATPAF1, and ATP5G1/G2/G3 is characteristic for ccRCC and may be prognostic for ccRCC patients' outcome.
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Affiliation(s)
- Maria Brüggemann
- University Hospital Bonn, Department of Urology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Arabella Gromes
- University Hospital Bonn, Department of Urology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Mirjam Poss
- University Hospital Bonn, Department of Urology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Doris Schmidt
- University Hospital Bonn, Department of Urology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Niklas Klümper
- University Hospital Bonn, Department of Urology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Yuri Tolkach
- University Hospital Bonn, Institute of Pathology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Dimo Dietrich
- University Hospital Bonn, Institute of Pathology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany; University Hospital Bonn, Department of Otorhinolaryngology/Head and Neck Surgery, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Glen Kristiansen
- University Hospital Bonn, Institute of Pathology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Stefan C Müller
- University Hospital Bonn, Department of Urology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany
| | - Jörg Ellinger
- University Hospital Bonn, Department of Urology, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany.
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Zingone A, Brown D, Bowman ED, Vidal O, Sage J, Neal J, Ryan BM. Relationship between anti-depressant use and lung cancer survival. Cancer Treat Res Commun 2017; 10:33-39. [PMID: 28944316 PMCID: PMC5603309 DOI: 10.1016/j.ctarc.2017.01.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVES In recent years, the anti-cancer properties of several commonly used drugs have been explored, with drugs such as aspirin and beta-blockers associated with improved cancer outcomes. Previous preclinical work demonstrated that tricyclic anti-depressants have antitumor efficacy in lung cancer. Our goal was to examine the association between anti-depressant use and survival in lung cancer. MATERIALS AND METHODS We examined the association between use of common anti-depressants and survival in 1,097 lung cancer patients from the NCI-Maryland lung cancer study. The types of anti-depressants included in the study were norepinephrine and dopamine reuptake inhibitors, serotonin reuptake inhibitors, selective serotonin reuptake inhibitors, non-selective serotonin reuptake inhibitors, and tricyclic anti-depressants. Anti-depressant use was extracted from the medical history section of a detailed interviewer-administered questionnaire. Specific use in the three months before a lung cancer diagnosis was determined. Cox portioned hazards modeling was used to estimate the association between anti-depressant use with lung cancer-specific death with adjustment for potential confounding co-factors. RESULTS Anti-depressant use was associated with extended lung cancer-specific survival. In an analysis of specific classes of anti-depressant use, NDRIs and TCAs were associated with improved survival. Importantly, the extended survival associated with anti-depressants was maintained after adjustment for the clinical indications for these drugs, suggestive of a direct effect on lung cancer biology. CONCLUSIONS Considering the manageable and largely tolerable side effects of anti-depressants, and the low cost of these drugs, these results indicate that evaluation of anti-depressants as adjunct therapeutics with chemotherapy may have a translational effect for lung cancer patients.
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Affiliation(s)
- Adriana Zingone
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892
| | - Derek Brown
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892
| | - Elise D. Bowman
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892
| | - Oscar Vidal
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892
| | - Julien Sage
- Departments of Pediatrics and Genetics, Stanford University, Stanford CA, 94305
| | - Joel Neal
- Department of Medicine, Division of Oncology
| | - Bríd M. Ryan
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892
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Ellinger J, Poss M, Brüggemann M, Gromes A, Schmidt D, Ellinger N, Tolkach Y, Dietrich D, Kristiansen G, Müller SC. Systematic Expression Analysis of Mitochondrial Complex I Identifies NDUFS1 as a Biomarker in Clear-Cell Renal-Cell Carcinoma. Clin Genitourin Cancer 2016; 15:e551-e562. [PMID: 28063846 DOI: 10.1016/j.clgc.2016.11.010] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 11/15/2016] [Accepted: 11/20/2016] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Mitochondrial dysfunction is common in cancer, and the mitochondrial electron transport chain is often affected in carcinogenesis. So far, little is known about the expression of the mitochondrial complex I (NADH:ubiquinone oxidoreductase) subunits in clear-cell renal-cell carcinoma (ccRCC). MATERIALS AND METHODS An expression profile of the mitochondrial complex I subunits was determined using the NextBio database. Subsequently, the expression of selected subunits was experimentally validated on mRNA (quantitative real-time polymerase chain reaction) and protein (Western blot analysis, immunohistochemistry) level. RESULTS We observed that 7 subunits of the complex I were down-regulated in at least 3 microarray studies. Deregulated mRNA expression was confirmed for NDUFA3, NDUFA, NDUFB1, NDUFB9, NDUFS1, NDUFS8, and NDUFV1. Low NDUFS1 mRNA expression was a significant and independent adverse predictor of a shorter overall survival in our mRNA cohort and the ccRCC cohort of The Cancer Genome Atlas project. NDUFS1 expression was furthermore analyzed on the protein level, and a distinct down-regulation was observed in ccRCC as well as in the chromophobe and the sarcomatoid subtype compared to normal renal tissue. CONCLUSION Expression alterations occur in only a few subunits of the mitochondrial complex I subunits in ccRCC, and altered mRNA and protein expression levels of NDUFS1 may be useful to distinguish between renal-cell carcinoma and normal renal tissue.
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Affiliation(s)
- Jörg Ellinger
- Department of Urology, University Hospital Bonn, Bonn, Germany.
| | - Mirjam Poss
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | | | - Arabella Gromes
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | - Doris Schmidt
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | - Nadja Ellinger
- Department of Anesthesiology and Intensive Care, University Hospital Bonn, Bonn, Germany
| | - Yuri Tolkach
- Institute of Pathology, University Hospital Bonn, Bonn, Germany
| | - Dimo Dietrich
- Institute of Pathology, University Hospital Bonn, Bonn, Germany; Department of Otorhinolaryngology/Head and Neck Surgery, University Hospital Bonn, Bonn, Germany
| | | | - Stefan C Müller
- Department of Urology, University Hospital Bonn, Bonn, Germany
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Eikrem OS, Strauss P, Beisland C, Scherer A, Landolt L, Flatberg A, Leh S, Beisvag V, Skogstrand T, Hjelle K, Shresta A, Marti HP. Development and confirmation of potential gene classifiers of human clear cell renal cell carcinoma using next-generation RNA sequencing. Scand J Urol 2016; 50:452-462. [PMID: 27739342 DOI: 10.1080/21681805.2016.1238007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE A previous study by this group demonstrated the feasibility of RNA sequencing (RNAseq) technology for capturing disease biology of clear cell renal cell carcinoma (ccRCC), and presented initial results for carbonic anhydrase-9 (CA9) and tumor necrosis factor-α-induced protein-6 (TNFAIP6) as possible biomarkers of ccRCC (discovery set) [Eikrem et al. PLoS One 2016;11:e0149743]. To confirm these results, the previous study is expanded, and RNAseq data from additional matched ccRCC and normal renal biopsies are analyzed (confirmation set). MATERIALS AND METHODS Two core biopsies from patients (n = 12) undergoing partial or full nephrectomy were obtained with a 16 g needle. RNA sequencing libraries were generated with the Illumina TruSeq® Access library preparation protocol. Comparative analysis was done using linear modeling (voom/Limma; R Bioconductor). RESULTS The formalin-fixed and paraffin-embedded discovery and confirmation data yielded 8957 and 11,047 detected transcripts, respectively. The two data sets shared 1193 of differentially expressed genes with each other. The average expression and the log2-fold changes of differentially expressed transcripts in both data sets correlated, with R² = .95 and R² = .94, respectively. Among transcripts with the highest fold changes were CA9, neuronal pentraxin-2 and uromodulin. Epithelial-mesenchymal transition was highlighted by differential expression of, for example, transforming growth factor-β1 and delta-like ligand-4. The diagnostic accuracy of CA9 was 100% and 93.9% when using the discovery set as the training set and the confirmation data as the test set, and vice versa, respectively. These data further support TNFAIP6 as a novel biomarker of ccRCC. TNFAIP6 had combined accuracy of 98.5% in the two data sets. CONCLUSIONS This study provides confirmatory data on the potential use of CA9 and TNFAIP6 as biomarkers of ccRCC. Thus, next-generation sequencing expands the clinical application of tissue analyses.
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Affiliation(s)
- Oystein S Eikrem
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway.,b Department of Medicine , Haukeland University Hospital , Bergen , Norway
| | - Philipp Strauss
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway.,b Department of Medicine , Haukeland University Hospital , Bergen , Norway
| | - Christian Beisland
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway.,c Department of Urology , Haukeland University Hospital , Bergen , Norway
| | - Andreas Scherer
- d Spheromics , Kontiolahti , Finland.,e Institute for Molecular Medicine Finland (FIMM), University of Helsinki , Helsinki , Finland
| | - Lea Landolt
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway
| | - Arnar Flatberg
- f Department of Cancer Research and Molecular Medicine , Norwegian University of Science and Technology , Trondheim , Norway
| | - Sabine Leh
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway.,g Department of Pathology , Haukeland University Hospital , Bergen , Norway
| | - Vidar Beisvag
- f Department of Cancer Research and Molecular Medicine , Norwegian University of Science and Technology , Trondheim , Norway
| | - Trude Skogstrand
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway
| | - Karin Hjelle
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway.,c Department of Urology , Haukeland University Hospital , Bergen , Norway
| | - Anjana Shresta
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway
| | - Hans-Peter Marti
- a Department of Clinical Medicine , University of Bergen , Bergen , Norway.,b Department of Medicine , Haukeland University Hospital , Bergen , Norway
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