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Zhang Y, Wang Y, Zhang X, Liu J. Identification of potential core genes in lung cancer and therapeutic traditional Chinese medicine compounds using bioinformatics analysis. Medicine (Baltimore) 2024; 103:e39862. [PMID: 39331864 DOI: 10.1097/md.0000000000039862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/29/2024] Open
Abstract
Lung cancer (LC) remains the leading cause of cancer-related death. We identified potential therapeutic targets and traditional Chinese medicine (TCM) compounds for LC treatment. GSE43346 and GSE18842 were derived from the Gene Expression Omnibus (GEO) database and used to identify differentially expressed genes (DEGs). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed using The Database for Annotation, Visualization and Integrated Discovery (DAVID). Protein-protein interactions were analyzed using STRING and Cytoscape software. Hub gene expression was validated using Gene Expression Profiling Interactive Analysis and the Human Protein Atlas. Kaplan-Meier survival analysis was conducted to evaluate the prognostic value of hub genes in patients with LC. Therapeutic TCM compounds were screened using the Comparative Toxicogenomics Database, and DEGs were largely enriched in biological processes, including cell division and mitotic nuclear division, such as the cell cycle and p53 signaling pathways. Elevated expression of hub genes was observed in LC samples. Overexpression of CDC20, CCNB2, and TOP2A is an unfavorable prognostic factor for postprogressive survival in patients with LC. Paclitaxel, quercetin, and rotenone have been identified as active substances in TCM. CDC20, CCNB2, and TOP2A are novel hub genes associated with LC. Paclitaxel, quercetin, and rotenone can be used as therapeutic agents in TCM.
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Affiliation(s)
- Yue Zhang
- The Second Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Yaguang Wang
- Department of Histology and Embryology, College of Basic Medical Science, Jinzhou Medical University, Jinzhou, Liaoning, P.R. China
| | - Xuepu Zhang
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Jiansheng Liu
- Department of Anatomy, College of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, Liaoning, P.R. China
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Qiu K, Ding D, Zhang F, Yang B. LTF as a Potential Prognostic and Immunological Biomarker in Glioblastoma. Biochem Genet 2024:10.1007/s10528-024-10716-6. [PMID: 38763993 DOI: 10.1007/s10528-024-10716-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 01/24/2024] [Indexed: 05/21/2024]
Abstract
The lactoferrin (LTF) gene behaves like a tumor suppressor gene in diverse tumors, such as renal cancer, nasopharyngeal carcinoma and gastric cancer. However, the prognostic value of LTF expression in patients with glioblastoma remains unclear. In this study, the expression levels of LTF in patients with GBM were investigated in TCGA, GEPIA, CGGA and GEO database, and a survival analysis of LTF based on TCGA and CGGA was performed. Furthermore, the present study demonstrated the LTF gene co-expression, PPI network, KEGG/GO enrichment and immune cell infiltration analysis on TCGA and TIMER2.0 database. We found that LTF expression was significantly upregulated in GBM samples compared with normal samples and other glioma samples, and Kaplan-Meier analysis demonstrated that the overexpression of LTF were significantly associated with worse overall survival (OS) and 5-year OS in GBM patients (P < 0.05). KEGG/GO enrichment analysis demonstrated that functions of LTF concentrated in immune and inflammatory response and peptidase regulation (P < 0.05). Immune cell infiltration analysis presented that high LTF expression exhibited dysregulated immune infiltration (i.e., CD4 + T cells, neutrophils, macrophages, myeloid dendritic cells and cancer associated fibroblast). LTF was upregulated in tumors and correlated with worse OS in GBM patients, and LTF might function as an oncogene via inducing dysregulated immune infiltration in GBM.
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Affiliation(s)
- Kai Qiu
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan Province, China
| | - Daling Ding
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan Province, China
| | - Fengjiang Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan Province, China
| | - Bo Yang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan Province, China.
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Zhang J, Zhao L, Xuan S, Liu Z, Weng Z, Wang Y, Dai K, Gu A, Zhao P. Global analysis of iron metabolism-related genes identifies potential mechanisms of gliomagenesis and reveals novel targets. CNS Neurosci Ther 2024; 30:e14386. [PMID: 37545464 PMCID: PMC10848104 DOI: 10.1111/cns.14386] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 06/16/2023] [Accepted: 07/20/2023] [Indexed: 08/08/2023] Open
Abstract
AIMS This study aimed to investigate key regulators of aberrant iron metabolism in gliomas, and evaluate their effect on biological functions and clinical translational relevance. METHODS We used transcriptomic data from multiple cross-platform glioma cohorts to identify key iron metabolism-related genes (IMRGs) based on a series of bioinformatic and machine learning methods. The associations between IMRGs and prognosis, mesenchymal phenotype, and genomic alterations were analyzed in silico. The performance of the IMRGs-based signature in predicting temozolomide (TMZ) treatment sensitivity was evaluated. In vitro and in vivo experiments were used to explore the biological functions of these key IMRGs. RESULTS HMOX1, LTF, and STEAP3 were identified as the most essential IMRGs in gliomas. The expression levels of these genes were strongly related to clinicopathological and molecular features. The robust IMRG-based gene signature could be used for prognosis prediction. These genes facilitate mesenchymal transformation, driver gene mutations, and oncogenic alterations in gliomas. The gene signature was also associated with TMZ resistance. HMOX1, LTF, and STEAP3 knockdown in glioma cells significantly reduced cell proliferation, colony formation, migration, and malignant invasion. CONCLUSION The study presented a comprehensive view of key regulators underpinning iron metabolism in gliomas and provided new insights into novel therapeutic approaches.
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Affiliation(s)
- Jiayue Zhang
- Department of NeurosurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Liang Zhao
- Department of NeurosurgeryThe Affiliated Brain Hospital of Nanjing Medical UniversityNanjingChina
| | - Shurui Xuan
- Department of Respiratory and Critical Care MedicineThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Zhiyuan Liu
- Department of NeurosurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Zhenkun Weng
- State Key Laboratory of Reproductive Medicine, School of Public HealthNanjing Medical UniversityNanjingChina
- Key Laboratory of Modern Toxicology of Ministry of EducationCenter for Global Health, Nanjing Medical UniversityNanjingChina
| | - Yu Wang
- Department of NeurosurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Kexiang Dai
- Department of NeurosurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Aihua Gu
- State Key Laboratory of Reproductive Medicine, School of Public HealthNanjing Medical UniversityNanjingChina
- Key Laboratory of Modern Toxicology of Ministry of EducationCenter for Global Health, Nanjing Medical UniversityNanjingChina
| | - Peng Zhao
- Department of NeurosurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
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Xu Y, Huo J, Nie R, Ge L, Xie C, Meng Y, Liu J, Wu L, Qin X. Altered profile of glycosylated proteins in serum samples obtained from patients with Hashimoto's thyroiditis following depletion of highly abundant proteins. Front Immunol 2023; 14:1182842. [PMID: 37457741 PMCID: PMC10348014 DOI: 10.3389/fimmu.2023.1182842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023] Open
Abstract
Objectives Hashimoto's thyroiditis (HT) is one of the most common autoimmune disorders; however, its underlying pathological mechanisms remain unclear. Although aberrant glycosylation has been implicated in the N-glycome of immunoglobulin G (IgG), changes in serum proteins have not been comprehensively characterized. This study aimed to investigate glycosylation profiles in serum samples depleted of highly abundant proteins from patients with HT and propose the potential functions of glycoproteins for further studies on the pathological mechanisms of HT. Methods A lectin microarray containing 70 lectins was used to detect and analyze glycosylation of serum proteins using serum samples (N=27 HT; N=26 healthy control [HC]) depleted of abundant proteins. Significant differences in glycosylation status between HT patients and the HC group were verified using lectin blot analysis. A lectin-based pull-down assay combined with mass spectrometry was used to investigate potential glycoproteins combined with differentially present lectins, and an enzyme-linked immunosorbent assay (ELISA) was used to identify the expression of targeted glycoproteins in 131 patients with papillary thyroid carcinoma (PTC), 131 patients with benign thyroid nodules (BTN) patients, 130 patients with HT, and 128 HCs. Results Compared with the HC group, the majority of the lectin binding signals in HT group were weakened, while the Vicia villosa agglutinin (VVA) binding signal was increased. The difference in VVA binding signals verified by lectin blotting was consistent with the results of the lectin microarray. A total of 113 potential VVA-binding glycoproteins were identified by mass spectrometry and classified by gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analyses. Using ELISA, we confirmed that lactoferrin (LTF) and mannan-binding lectin-associated serine protease 1 (MASP-1) levels were elevated in the serum of patients with HT and PTC. Conclusion Following depletion of abundant proteins, remaining serum proteins in HT patients exhibited lower glycosylation levels than those observed in HCs. An increased level of potential VVA-binding glycoproteins may play an important role in HT development. LTF and MASP-1 expression was significantly higher in the serum of HT and PTC patients, providing novel insight into HT and PTC.
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Affiliation(s)
- Yaozheng Xu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Jiawen Huo
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Ruili Nie
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Lili Ge
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Chonghong Xie
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Yuan Meng
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Jianhua Liu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Lina Wu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Xiaosong Qin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
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The Potential Diagnostic Value of Immune-Related Genes in Interstitial Fibrosis and Tubular Atrophy after Kidney Transplantation. J Immunol Res 2022; 2022:7212852. [PMID: 35755170 PMCID: PMC9232312 DOI: 10.1155/2022/7212852] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/29/2022] [Accepted: 05/11/2022] [Indexed: 12/02/2022] Open
Abstract
Background Inflammation within areas of interstitial fibrosis and tubular atrophy (IF/TA) is associated with kidney allograft failure. The aim of this study was to reveal new diagnostic markers of IF/TA based on bioinformatics analysis. Methods Raw data of IF/TA samples after kidney transplantation and control samples after kidney transplantation were extracted from the Gene Expression Omnibus (GEO) database (GSE76882 and GSE120495 datasets), and genes that were differentially expressed between the two groups (DEGs) were screened. Gene Set Enrichment Analysis (GSEA), ESTIMATE and single sample GSEA (ssGSEA), least absolute shrinkage and selection operator (LASSO) regression analysis, and competing endogenous RNA (ceRNA) network were used to analyze the data. Results The results of GSEA revealed that multiple immune-related pathways were enriched in the IF/TA group, and subsequent immune landscape analysis also showed that the IF/TA group had higher immune and stromal scores and up to 15 types of immune cells occupied them, such as B cells, cytotoxic cells, and T cells. LASSO regression analysis selected 6 (including ANGPTL3, APOH, LTF, FCGR2B, HLA-DQA2, and EGF) out of 14 DE-IRGs as diagnostic genes to construct a diagnostic model. Then, receiver operating characteristic (ROC) curve analysis showed the powerful diagnostic value of the model, and the area under the curve (AUC) of a single diagnostic gene was greater than 0.75. The results of ingenuity pathway analysis (IPA) also indicated that DEGs were involved in the immune system and kidney disease-related pathways. Finally, we found multiple miRNAs that could regulate diagnostic genes from the ceRNA network. Conclusion This study identified 6 IF/TA-related genes, which might be used as a new diagnosis model in the clinical practice.
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Miao S, Song J, Liu Q, Lai J, Wang H, Ran L. Integrated bioinformatics analysis to identify the key gene associated with metastatic clear cell renal cell carcinoma. Med Oncol 2022; 39:128. [PMID: 35716215 DOI: 10.1007/s12032-022-01706-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/09/2022] [Indexed: 11/25/2022]
Abstract
Metastasis of clear cell renal cell carcinoma (ccRCC) is a leading cause of death. The purpose of this research was to investigate the key gene in ccRCC tumor metastasis. Three microarray datasets (GSE22541, GSE85258, and GSE105261), which included primary and metastatic ccRCC tissues, were obtained from the Gene Expression Omnibus (GEO) database. Expression profiling and clinical data of ccRCC were downloaded from The Cancer Genome Atlas (TCGA) dataset. A total of 20 overlapping differentially expressed genes (DEGs) were identified using the R limma package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that the DEGs were mainly enriched in tumor metastasis-related pathways. Gene expression analysis and survival analysis in the GEPIA2 database further identified the key gene HSD11B2. qRT-PCR result manifested that HSD11B2 level was significantly down-regulated in ccRCC tissues compared with adjacent normal tissues. ROC analysis showed that HSD11B2 exhibited good diagnostic efficiency for metastatic and non-metastatic ccRCC. Univariate and multivariate Cox regression analysis showed that HSD11B2 expression was an independent prognostic factor. To establish a nomogram combining HSD11B2 expression and clinical factors, and a new method for predicting the survival probability of ccRCC patients. Gene Set Enrichment Analysis (GSEA) enrichment results showed that low expression of HSD11B2 was mainly enriched in tumor signaling pathways and immune-related pathways. Immune analysis revealed a significant correlation between HSD11B2 and tumor immune infiltrates in ccRCC. This study suggests that HSD11B2 can serve as a potential biomarker and therapeutic target for ccRCC metastasis.
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Affiliation(s)
- Shiqi Miao
- Department of Bioinformatics, The Basic Medical School of Chongqing Medical University, Chongqing, 400016, China
- Laboratory of Forensic Medicine and Biomedical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Jing Song
- Molecular and Tumor Research Center, Chongqing Medical University, Chongqing, 400016, China
| | - Qingyuan Liu
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jiayi Lai
- Department of Bioinformatics, The Basic Medical School of Chongqing Medical University, Chongqing, 400016, China
- Laboratory of Forensic Medicine and Biomedical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Huirui Wang
- The Affiliated Luoyang Central Hospital of Zhengzhou University, No. 288, Zhongzhou Road, Luoyang, 471099, Henan, China.
| | - Longke Ran
- Department of Bioinformatics, The Basic Medical School of Chongqing Medical University, Chongqing, 400016, China.
- Laboratory of Forensic Medicine and Biomedical Informatics, Chongqing Medical University, Chongqing, 400016, China.
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Zhang XB, Xu SQ, Hui YG, Zhou HY, Hu YC, Zhang RH, Gao XD, Zheng CM. Lactotransferrin promotes intervertebral disc degeneration by regulating Fas and inhibiting human nucleus pulposus cell apoptosis. Aging (Albany NY) 2022; 14:4572-4585. [PMID: 35613904 PMCID: PMC9186764 DOI: 10.18632/aging.204100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 04/11/2022] [Indexed: 11/25/2022]
Abstract
Background: In recent years, intervertebral disc (IVD) degeneration (IDD) has increased in age. There is still a lack of effective treatment in clinics, which cannot improve the condition of IDD at the level of etiology. Objective: To explore IDD pathogenesis at the cellular and gene levels and investigate lactotransferrin (LTF) expression in IDD patients and its possible mechanism. Methods: We downloaded the IDD data set from the Gene Expression Omnibus (GEO) database, screened the differentially expressed genes (DEGs) and hub genes and performed Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis to construct a protein–protein interaction (PPI) network. Subsequently, we verified LTF's regulatory mechanism through cell experiments. IL-1β was used to intervene in nucleus pulposus cells (NPCs) to construct the IDD cell model, and LTF and Fas expression was detected by qRT–PCR. LTF inhibitor, Fas inhibitor, LTF mimic, and Fas mimic were used to intervene in each group. Western blotting was used to detect Fas, Caspase-3, Bax, and Bcl-2 expression. Results: A total of 131 DEGs and 10 hub genes were screened. LTF mRNA in the IDD model was significantly higher than that in the control group, while Fas' mRNA was significantly lower. When LTF was upregulated or downregulated in NPCs, apoptosis marker expression showed the opposite trend. The rescue test showed that LTF and Fas' overexpression greatly enhanced NPC apoptosis. Conclusion: LTF promotes IDD progression by regulating Fas in NPCs, and it may be an effective gene therapy target.
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Affiliation(s)
- Xiao-Bo Zhang
- Department of Spine Surgery, Honghui Hospital, Xi'an, Shanxi 710000, PR China
| | - Si-Qi Xu
- Department of Spine Surgery, Honghui Hospital, Xi'an, Shanxi 710000, PR China
| | - Yi-Geng Hui
- Department of Spine Surgery, Honghui Hospital, Xi'an, Shanxi 710000, PR China
| | - Hai-Yu Zhou
- Department of Spine Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, PR China
| | - Yi-Cun Hu
- Department of Spine Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, PR China
| | - Rui-Hao Zhang
- Department of Spine Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, PR China
| | - Xi-Dan Gao
- Department of Spine Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, PR China
| | - Chang-Ming Zheng
- Department of Spine Surgery, Honghui Hospital, Xi'an, Shanxi 710000, PR China
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Chen N, He D, Cui J. A Neutrophil Extracellular Traps Signature Predicts the Clinical Outcomes and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma. Front Mol Biosci 2022; 9:833771. [PMID: 35252353 PMCID: PMC8894649 DOI: 10.3389/fmolb.2022.833771] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 02/04/2022] [Indexed: 12/13/2022] Open
Abstract
Background: Neutrophil extracellular traps (NETs) play an important role in the occurrence, metastasis and immune escape of cancers. This study aimed to investigate NET-related genes, their clinical prognostic value and their correlation with immunotherapy and anticancer drugs in patients with head and neck squamous cell carcinoma (HNSCC). Methods: Differentially expressed NET-related genes in HNSCC were identified based on multiple public databases. To improve the clinical practicability and avoid overfitting, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were used to construct a prognostic risk model. A nomogram was further used to explore the clinical value of the model. Internal and external validation were conducted to test the model. Furthermore, the immune microenvironment, immunophenoscore (IPS) and sensitivity to anticancer drugs in HNSCC patients with different prognostic risks were explored. Results: Six NET-related genes were screened to construct the risk model. In the training cohort, Kaplan–Meier (K-M) analysis showed that the overall survival (OS) of low-risk HNSCC patients was significantly better than that of high-risk HNSCC patients (p < 0.001). The nomogram also showed a promising prognostic value with a better C-index (0.726 vs 0.640) and area under the curve (AUC) (0.743 vs 0.706 at 3 years, 0.743 vs 0.645 at 5 years) than those in previous studies. Calibration plots and decision curve analysis (DCA) also showed the satisfactory predictive capacity of the nomogram. Internal and external validation further strengthened the credibility of the clinical prognostic model. The level of tumor mutational burden (TMB) in the high-risk group was significantly higher than that in the low-risk group (p = 0.017), and the TMB was positively correlated with the risk score (R = 0.11; p = 0.019). Moreover, the difference in immune infiltration was significant in HNSCC patients with different risks (p < 0.05). Furthermore, the IPS analysis indicated that anti-PD-1 (p < 0.001), anti-CTLA4 (p < 0.001) or combining immunotherapies (p < 0.001) were more beneficial for low-risk HNSCC patients. The response to anticancer drugs was also closely correlated with the expression of NET-related genes (p < 0.001). Conclusion: This study identified a novel prognostic model that might be beneficial to develop personalized treatment for HNSCC patients.
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Affiliation(s)
- Naifei Chen
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Dongsheng He
- Department of Medical Oncology, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, China
| | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
- *Correspondence: Jiuwei Cui,
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Ni L, Cao J, Yuan C, Zhou LT, Wu X. Expression of Ferroptosis-Related Genes is Correlated with Immune Microenvironment in Diabetic Kidney Disease. Diabetes Metab Syndr Obes 2022; 15:4049-4064. [PMID: 36597492 PMCID: PMC9805740 DOI: 10.2147/dmso.s388724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/26/2022] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE This study aims to explore the correlation between ferroptosis and immune microenvironment (IME) in diabetic kidney disease (DKD) to provide a new clue for exploring the underlying molecular mechanisms. METHODS Corresponding RNA data of DKD patients were downloaded from GEO databases. The weighted gene co-expression network analysis (WGCNA) was used to construct the network, and the selected hub genes, then, overlapped with ferroptosis-related genes (FRGs) from FerrDb. Consensus clustering was performed to identify new molecular subgroups. ESTIMATE, TIMER and ssGSEA analyses were applied to determinate the IME and immune status. Functional analyses including GO, KEGG and GSEA were conducted to elucidate the underlying mechanisms. RESULTS Two molecular subtypes were identified based on the expression of FRGs. ESTIMATE algorithm revealed that there were significant differences in ESTIMATE score between these two clusters of DKD patients, with no significant difference found in stromal score and immune score. In addition, TIMER algorithm indicated there was a significant difference in the degree of T cell infiltration. The ssGSEA algorithm showed immunity was mainly concentrated in thick ascending limb and distal convoluted tubule in adult kidney. GO, KEGG and GSEA analyses revealed that the differentially expressed genes (DEGs) were mainly enriched in immune and metabolism associated pathways. CONCLUSION The ferroptosis may be induced by dysregulation of IME, thereby accelerating the progression of DKD. Our work could be applied to provide a new clue for exploring the underlying molecular mechanisms and sheds novel light on the therapy strategy of DKD.
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Affiliation(s)
- Lihua Ni
- Department of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China
| | - Jingyuan Cao
- The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, People’s Republic of China
| | - Cheng Yuan
- Department of Gynecological Oncology, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China
| | - Le-Ting Zhou
- Department of Nephrology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, People’s Republic of China
| | - Xiaoyan Wu
- Department of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China
- Correspondence: Xiaoyan Wu; Le-Ting Zhou, Email ;
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Lei M, Zhang D, Sun Y, Zou C, Wang Y, Hong Y, Jiao Y, Cai C. Web-based transcriptome analysis determines a sixteen-gene signature and associated drugs on hearing loss patients: A bioinformatics approach. J Clin Lab Anal 2021; 35:e24065. [PMID: 34758154 PMCID: PMC8649328 DOI: 10.1002/jcla.24065] [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] [Received: 09/24/2021] [Revised: 10/07/2021] [Accepted: 10/08/2021] [Indexed: 12/24/2022] Open
Abstract
Background Hearing loss is becoming more and more general. It may occur at all age and affect the language learning ability of children and trigger serious social problems. Methods The hearing loss differentially expressed genes (HL‐DEGs) were recognized through a comparison with healthy subjects. The Gene Ontology (GO) analysis was executed by DAVID. The reactome analysis of HL‐DEGs was performed by Clue‐GO. Next, we used STRING, an online website, to identify crucial protein‐protein interactions among HL‐DEGs. Cytoscape software was employed to construct a protein‐protein interaction network. MCODE, a plug‐in of the Cytoscape software, was used for module analysis. Finally, we used DGIdb database to ascertain the targeted drugs for MCODE genes. Results Four hundred four HL‐DEGs were identified, among which the most up‐regulated 10 genes were AL008707.1, SDR42E1P5, BX005040.1, AL671883.2, MT1XP1, AC016957.1, U2AF1L5, XIST, DAAM2, and ADAMTS2, and the most down‐regulated 10 genes were ALOX15, PRSS33, IL5RA, SMPD3, IGHV1‐2, IGLV3‐9, RHOXF1P1, CACNG6, MYOM2, and RSAD2. Through STRING database and MCODE analysis, we finally got 16 MCODE genes. These genes can be regarded as hearing loss related genes. Through biological analysis, it is found that these genes are enriched in pathways related to apoptosis such as tumor necrosis factor. Among them, MMP8, LTF, ORM2, FOLR3, and TCN1 have corresponding targeted drugs. Foremost, MCODE genes should be investigated for its usefulness as a new biomarker for diagnosis and treatment. Conclusion In summary, our study produced a sixteen‐gene signature and associated drugs that could be diagnosis and treatment of hearing loss patients.
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Affiliation(s)
- Min Lei
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Dongdong Zhang
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Yixin Sun
- School of Medicine, Xiamen University, Xiamen, China
| | - Cong Zou
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Yue Wang
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Yongjun Hong
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Yanchao Jiao
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Chengfu Cai
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China.,Department of Otorhinolaryngology Head and Neck Surgery, Teaching Hospital of Fujian Medical University, Xiamen, China.,Department of Otorhinolaryngology - Head and Neck Surgery, Xiamen University, Xiamen, China
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11
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Bouchalova P, Beranek J, Lapcik P, Potesil D, Podhorec J, Poprach A, Bouchal P. Transgelin Contributes to a Poor Response of Metastatic Renal Cell Carcinoma to Sunitinib Treatment. Biomedicines 2021; 9:biomedicines9091145. [PMID: 34572331 PMCID: PMC8467952 DOI: 10.3390/biomedicines9091145] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 08/20/2021] [Accepted: 08/24/2021] [Indexed: 12/24/2022] Open
Abstract
Renal cell carcinoma (RCC) represents about 2-3% of all cancers with over 400,000 new cases per year. Sunitinib, a vascular endothelial growth factor tyrosine kinase receptor inhibitor, has been used mainly for first-line treatment of metastatic clear-cell RCC with good or intermediate prognosis. However, about one-third of metastatic RCC patients do not respond to sunitinib, leading to disease progression. Here, we aim to find and characterize proteins associated with poor sunitinib response in a pilot proteomics study. Sixteen RCC tumors from patients responding (8) vs. non-responding (8) to sunitinib 3 months after treatment initiation were analyzed using data-independent acquisition mass spectrometry, together with their adjacent non-cancerous tissues. Proteomics analysis quantified 1996 protein groups (FDR = 0.01) and revealed 27 proteins deregulated between tumors non-responding vs. responding to sunitinib, representing a pattern of deregulated proteins potentially contributing to sunitinib resistance. Gene set enrichment analysis showed an up-regulation of epithelial-to-mesenchymal transition with transgelin as one of the most significantly abundant proteins. Transgelin expression was silenced by CRISPR/Cas9 and RNA interference, and the cells with reduced transgelin level exhibited significantly slower proliferation. Our data indicate that transgelin is an essential protein supporting RCC cell proliferation, which could contribute to intrinsic sunitinib resistance.
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Affiliation(s)
- Pavla Bouchalova
- Department of Biochemistry, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (P.B.); (J.B.); (P.L.)
| | - Jindrich Beranek
- Department of Biochemistry, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (P.B.); (J.B.); (P.L.)
| | - Petr Lapcik
- Department of Biochemistry, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (P.B.); (J.B.); (P.L.)
| | - David Potesil
- Proteomics Core Facility, Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic;
| | - Jan Podhorec
- Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic; (J.P.); (A.P.)
- Department of Comprehensive Cancer Care, Faculty of Medicine, Masaryk University, 656 53 Brno, Czech Republic
| | - Alexandr Poprach
- Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic; (J.P.); (A.P.)
- Department of Comprehensive Cancer Care, Faculty of Medicine, Masaryk University, 656 53 Brno, Czech Republic
| | - Pavel Bouchal
- Department of Biochemistry, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (P.B.); (J.B.); (P.L.)
- Correspondence: ; Tel.: +420-549-493-251
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12
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Qin R, Li C, Wang X, Zhong Z, Sun C. Identification and validation of an immune-related prognostic signature and key gene in papillary thyroid carcinoma. Cancer Cell Int 2021; 21:378. [PMID: 34266418 PMCID: PMC8281689 DOI: 10.1186/s12935-021-02066-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 06/29/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer. The effect of traditional anti-tumor therapy is not ideal for the patients with recurrence, metastasis and radioiodine resistance. The abnormal expression of immune-related genes (IRGs) has critical roles in the etiology of PTC. However, the effect of IRGs on PTC prognosis remains unclear. METHODS Based on The Cancer Genome Atlas (TCGA) and ImmPort databases, we integrated IRG expression profiles and progression-free intervals (PFIs) of PTC patients. First, we identified the differentially expressed IRGs and transcription factors (TFs) in PTC. Subsequently, an IRG model that can predict the PFI was constructed by using univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analyses of the differentially expressed IRGs in the TCGA. Additionally, a protein-protein interaction (PPI) network showed the interactions between the differentially expressed genes (DEGs), and the top 30 genes with the highest degree were extracted from the network. Then, the key IRG was identified by the intersection analysis of the PPI network and univariate Cox regression, which was verified the differential expression of by western blotting and immunohistochemistry (IHC). ssGSEA was performed to understand the correlation between the key IRG expression level and immune activity. RESULTS A total of 355 differentially expressed IRGs and 43 differentially expressed TFs were identified in PTC patients. Then, eight IRGs were finally utilized to construct an IRG model. The respective areas under the curve (AUCs) of the IRG model reached 0.948, 0.820, and 0.831 at 1, 3 and 5 years in the training set. In addition, lactotransferrin (LTF) was determined as the key IRG related to prognosis. The expression level of LTF in tumor tissues was significantly lower than that in normal tissues. And the results of ssGSEA showed the expression level of LTF is closely related to immune activity. CONCLUSIONS These findings show that the prognostic model and key IRG may become promising molecular markers for the prognosis of PTC patients.
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Affiliation(s)
- Rujia Qin
- Department of Head and Neck Surgery Section II, The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, 519 Kunzhou Road, Kunming, 650118, China
| | - Chunyan Li
- Department of Head and Neck Surgery Section II, The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, 519 Kunzhou Road, Kunming, 650118, China
| | - Xuemin Wang
- Department of Head and Neck Surgery Section II, The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, 519 Kunzhou Road, Kunming, 650118, China
| | - Zhaoming Zhong
- Department of Head and Neck Surgery Section II, The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, 519 Kunzhou Road, Kunming, 650118, China.,Department of Medical Oncology, the First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, China
| | - Chuanzheng Sun
- Department of Head and Neck Surgery Section II, The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, 519 Kunzhou Road, Kunming, 650118, China.
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13
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Ni L, Yuan C. The Pathogenic Potential of RUNX2. EXPLORATORY RESEARCH AND HYPOTHESIS IN MEDICINE 2021; 000:000-000. [DOI: 10.14218/erhm.2021.00028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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14
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Alternatively Expressed Transcripts Analysis of Non-Small Cell Lung Cancer Cells under Different Hypoxic Microenvironment. JOURNAL OF ONCOLOGY 2021; 2021:5558304. [PMID: 33936200 PMCID: PMC8055392 DOI: 10.1155/2021/5558304] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 03/24/2021] [Accepted: 03/25/2021] [Indexed: 12/12/2022]
Abstract
Globally, non-small cell lung cancer (NSCLC) is the most fatal form of malignancy. Numerous studies have shown that people living at high altitudes are at a higher risk for cancer. Hypoxia is one of the most important features in high altitude area. Compared with normal cells, cancer cells are more adapted to hypoxia atmosphere. However, at high altitudes, hypoxic conditions are also accompanied by other altered environmental conditions. To identify the single influence of hypoxia, we performed second-generation sequencing to identify gene expression changes triggered by the different oxygen concentrations. We identified 782 genes in A549 cells and 1122 genes in H520 cells that showed altered expression by the combined analysis in 5% oxygen concentration group and 1% oxygen concentration group control group. We further analyzed these targets and found 113 genes altered in both cell lines. Interestingly, we found KxD1 was the only one in both top 10 lists. Further analysis revealed KxD1 to be significantly elevated in NSCLC patients and negatively correlated with prognosis in stage I and II NSCLC patients. Moreover, this correlation reversed in stage III patients. Additionally, compared with patients who only received clean margin operation or chemotherapy, patients who received radiotherapy also showed opposite result. Thus, KxD1 may be a promising target for the treatment of NSCLC in high-altitude areas.
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15
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Wang P, Yang X, Zhou N, Wang J, Li Y, Liu Y, Xu X, Wei W. Identifying a Potential Key Gene, TIMP1, Associated with Liver Metastases of Uveal Melanoma by Weight Gene Co-Expression Network Analysis. Onco Targets Ther 2020; 13:11923-11934. [PMID: 33239893 PMCID: PMC7682792 DOI: 10.2147/ott.s280435] [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: 09/04/2020] [Accepted: 11/06/2020] [Indexed: 12/12/2022] Open
Abstract
Purpose Uveal melanoma (UM) is a primary intraocular tumor in adults, with a high percentage of metastases to the liver. Identifying potential key genes may provide information for early detection and prognosis of UM metastasis. Patients and Methods Differentially expressed genes (DEGs) were identified using the GSE22138 dataset. Weighted gene co-expression network analysis was used to construct co-expression modules. Functional enrichment analysis was performed for DEGs and genes of key modules. Hub genes were screened by co-expression network and protein–protein interaction network (PPI), and validated by survival analysis in The Cancer Genome Atlas database. Gene set enrichment analysis (GSEA) was used to explore the potential metastasis mechanism of UM. Transient transfection was used to investigate the effect of TIMP1 on the proliferation, migration, and invasion of UM cells. Results In total, 552 DEGs were identified between primary and metastatic UM and mainly enriched in extracellular matrix, cellular senescence and focal adhesion pathway. A weighted gene co‑expression network was built to identify key gene modules associated with UM metastasis (n=36). The turquoise module is positively correlated with metastasis and genes in this module were mainly enriched in peptidyl-tyrosine autophosphorylation and regulation of organ growth. The hub gene TIMP1 was screened out by co-expression network and PPI analysis. High expression of TIMP1 was related to p53 pathway by GSEA and short overall survival time. Experimental results indicated that overexpression of TIMP1 inhibited the proliferation and migration, while it had no significant effect on invasion of UM cells. Conclusion Our study indicates that TIMP1 might be associated with metastasis in UM, which might have important significance for identifying patients with high risk of metastasis and predicting the prognosis of UM.
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Affiliation(s)
- Ping Wang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
| | - Xuan Yang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
| | - Nan Zhou
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
| | - Jinyuan Wang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
| | - Yang Li
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
| | - Yueming Liu
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
| | - Xiaolin Xu
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
| | - Wenbin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China
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16
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Long J, Huang S, Bai Y, Mao J, Wang A, Lin Y, Yang X, Wang D, Lin J, Bian J, Yang X, Sang X, Wang X, Zhao H. Transcriptional landscape of cholangiocarcinoma revealed by weighted gene coexpression network analysis. Brief Bioinform 2020; 22:5923107. [PMID: 33051665 DOI: 10.1093/bib/bbaa224] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/16/2020] [Accepted: 08/19/2020] [Indexed: 12/19/2022] Open
Abstract
Cholangiocarcinoma (CCA) is a type of cancer with limited treatment options and a poor prognosis. Although some important genes and pathways associated with CCA have been identified, the relationship between coexpression and phenotype in CCA at the systems level remains unclear. In this study, the relationships underlying the molecular and clinical characteristics of CCA were investigated by employing weighted gene coexpression network analysis (WGCNA). The gene expression profiles and clinical features of 36 patients with CCA were analyzed to identify differentially expressed genes (DEGs). Subsequently, the coexpression of DEGs was determined by using the WGCNA method to investigate the correlations between pairs of genes. Network modules that were significantly correlated with clinical traits were identified. In total, 1478 mRNAs were found to be aberrantly expressed in CCA. Seven coexpression modules that significantly correlated with clinical characteristics were identified and assigned representative colors. Among the 7 modules, the green and blue modules were significantly related to tumor differentiation. Seventy-eight hub genes that were correlated with tumor differentiation were found in the green and blue modules. Survival analysis showed that 17 hub genes were prognostic biomarkers for CCA patients. In addition, we found five new targets (ISM1, SULT1B1, KIFC1, AURKB and CCNB1) that have not been studied in the context of CCA and verified their differential expression in CCA through experiments. Our results not only promote our understanding of the relationship between the transcriptome and clinical data in CCA but will also guide the development of targeted molecular therapy for CCA.
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Affiliation(s)
- Junyu Long
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shan Huang
- Department of Immunology, School of Basic Medical Sciences; Advanced Innovation Center for Human Brain Protection, Beijing Key Laboratory for Cancer Invasion and Metastasis, Department of Oncology, Capital Medical University, Beijing, China
| | - Yi Bai
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jinzhu Mao
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Anqiang Wang
- Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University Cancer Hospital & Institute, China
| | - Yu Lin
- Shenzhen Withsum Technology Limited, Shenzhen, China
| | - Xu Yang
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Dongxu Wang
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jianzhen Lin
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jin Bian
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiaobo Yang
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xinting Sang
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xi Wang
- Department of Immunology, School of Basic Medical Sciences; Advanced Innovation Center for Human Brain Protection, Beijing Key Laboratory for Cancer Invasion and Metastasis, Department of Oncology, Capital Medical University, Beijing, China
| | - Haitao Zhao
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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