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- Volume 25, Issue 13, 2022
Combinatorial Chemistry & High Throughput Screening - Volume 25, Issue 13, 2022
Volume 25, Issue 13, 2022
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Impact of MiRNAs and LncRNAs on Multidrug Resistance of Gastric Cancer
Authors: Yiwen Wu, Xiaoyan Yang, Zhizhong Xie, Haihong Hu, Xiaoyong Lei, Dun Niu, Shiyan Li and Lu TuoMulti-drug resistance (MDR) is characterized by the resistance of tumor cells to some antitumor drugs with different structures and mechanisms after the use of a single chemotherapy drug or even the first use of the drug. Notably, MDR has become the largest obstacle to the success of gastric cancer chemotherapies. Non-coding RNAs are defined as a class of RNAs that do not have the ability to code proteins. They are Read More
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Role of Artificial Intelligence in Cancer Diagnosis and Drug Development
Authors: Shubham Srivastava and Deepika PaliwalCancer is a vast form of the disease that can begin in almost any organ or tissue of the body when abnormal cells grow uncontrollably and attack nearby organs. The traditional approaches to cancer diagnosis and drug development have certain limitations, and the outcomes achieved through the traditional approaches applied to cancer diagnosis and drug development are not quite promising. Artificial intelligence is not new to Read More
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Mechanism of Action of Ermiao San on Rheumatoid Arthritis Based on Bioinformatics and Molecular Dynamics
Authors: Jianwei Xiao, Rongsheng Wang, Xu Cai, Xinmin Huang and Zhizhong YeBackground: Ermiao San, one of the Chinese medicine formulas, has been widely used to treat rheumatoid arthritis (RA). Our previous study has demonstrated that Ermiao San is effective in treating RA. However, its pharmacological mechanisms remain unclear. Therefore, the purpose of this study was to decipher the potential mechanism of action of Ermiao San in rheumatoid arthritis (RA) by bioinformatics, network pharmac Read More
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Overexpression of Ribosomal Protein S6 Kinase A4 (RPS6KA4) Predicts a Poor Prognosis in Hepatocellular Carcinoma Patients: A Study Based on TCGA Samples
Authors: Yu Lu, Xuechen Ren, Chengliang Zhou, Hao Chen, Yong Fan and Chen WangAim: This study aims to comprehensively analyse the Ribosomal Protein S6 Kinase A4 (RPS6KA4) and determine the prognostic value for hepatocellular carcinoma (HCC). Background: Liver cancer is a common type of tumor worldwide, and HCC accounts for about 75 to 85% of all primary liver cancer cases. The Ribosomal S6 protein kinases (RSK) family plays an important regulatory role in cell growth, movement, Read More
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FIGNL1 Expression and its Prognostic Significance in Pan-cancer Analysis
Authors: Zicheng Zhen, Minghao Li, Muyan Zhong, Liqun Ye and Xiaofang MaBackground: Fidgetin-like 1 (FIGNL1), a subfamily member of ATPases, is associated with diverse cellular activities (AAA proteins). FIGNL1 is involved in DNA repair. However, the latest study has indicated that FIGNL1 plays a crucial role in the occurrence and development of malignant tumors. Methods: FIGNL1 expression was analyzed via Oncomine and GEPIA databases, and its prognostic potential was analyzed using OncoLnc Read More
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Investigating the Mechanism of Shengmaiyin (Codonopsis pilosula) in the Treatment of Heart Failure Based on Network Pharmacology
Authors: Mo Kan, Jifeng Wang, Sitong Ming, Xin Sui, Zhuang Zhang, Qing Yang, Xiaoran Liu, Jianan Lin, Yanhong Zhang, Qihang Pang, Yaxin Liu, Zhen Li, Na Li and Zhe LinBackground and Objective: To explore the molecular mechanism by which Shengmaiyin (Codonopsis pilosula) (SMY) improves isoproterenol (ISO)-induced heart failure (HF) in rats via a traditional Chinese medicine (TCM) integrated pharmacology research platform, The Chinese Medicine Integrated Pharmacology Platform (TCMIP V2.0). Method: The chemical constituents and drug targets of SMY medicines were identified Read More
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An Immune-Related Gene Signature Predicting Prognosis and Immunotherapy Response in Hepatocellular Carcinoma
Authors: Feng Zhang, Jialiang Cai, Keshu Hu, Wenfeng Liu, Shenxin Lu, Bei Tang, Miao Li, Weizhong Wu, Zhenggang Ren and Xin YinBackground: Hepatocellular carcinoma (HCC) is inflammation-associated cancer with high incidence and poor prognosis. In the last decade, immunotherapy has become an important strategy for managing HCC. Objective: This study aimed to establish an immune-related gene signature for predicting prognosis and immunotherapy response in HCC. Methods: We identified immune-related differentially expressed genes (IR Read More
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Construction and Validation of an Immune-Related lncRNA Prognosis Model for Thyroid Cancer
Authors: Zheng Li, Hui Wang, Xia Deng, Jing Zhang, Ling Wang, Wanyan Tang, Wenxin You and Weiqi NianBackground: Immune-related long noncoding RNAs (lncRNAs) play an important role in the development of cancer. This study aimed to identify immune-related lncRNAs in thyroid cancer (THCA) and develop a prognostic model for THCA. Methods: We downloaded immune-related gene sets from the Gene Set Enrichment Analysis (GSEA) website and obtained THCA gene expression and clinical data from The Cancer Genome Read More
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Identification and Verification of Potential Core Genes in Pediatric Septic Shock
Authors: Zhihao Xu, Meiling Jiang, Xiwen Bai, Lianlei Ding, Pengzhi Dong and Meixiu JiangBackground: Septic shock is a frequent and costly problem among patients in the pediatric intensive care unit (PICU) and is associated with high mortality and devastating survivor morbidity. In this study, we aimed to screen candidate biomarkers and potential therapeutic targets for septic shock. Methods: GSE26440 dataset was downloaded from Gene Expression Omnibus (GEO), including 32 normal controls and 98 childre Read More
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Comprehensive Analysis and Validation of Competing Endogenous RNA Network and Tumor-infiltrating Immune Cells in Lung Adenocarcinoma
Authors: Yang Liu, Qiuhong Wu, Ji Li, Wenxiao Jia, Xiaoyang Zhai, Jinming Yu and Hui ZhuObjective: The potential pathogenesis of LUAD remains largely unknown. In the present study, we evaluated the competing endogenous RNA (ceRNA) regulatory network and tumorinfiltrating immune cells in LUAD. Methods: We obtained the RNA profiles and corresponding clinical information of LUAD patients from the TCGA data portal, and identified differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs Read More
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PHD3 as a Prognosis Marker and its Relationship with Immune Infiltration in Lung Adenocarcinoma
Authors: Lei Wang, Yingying Zhong, Guiping Wang, Huan An, Qiang Gao and Yun YeBackground: Lung adenocarcinoma (LUAD) is a highly heterogeneous malignant tumor. Therefore, it is necessary to find predictive biomarkers related to the prognosis and immune infiltration of lung adenocarcinoma, which may provide an effective theoretical basis for its clinical treatment. Objective: This study aimed to evaluate whether the expression level of PHD3 in lung adenocarcinoma (LUAD) is related to immunity. Me Read More
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Therapeutic Mechanism of Xiaoqinglong Decoction against COVID-19 Based on Network Pharmacology and Molecular Docking Technology
Authors: Hai-Li Li, Jian-Peng Zhou and Jing-Min DengBackground: A xiaoqinglong decoction (XQLD) has been proven effective in treating severe coronavirus disease 2019 (COVID-19) cases; however, the mechanism remains unclear. Objective: In the current study, we used network pharmacology and molecular docking technology to identify the effective components, potential targets, and biological pathways of XQLD against COVID-19. Methods: Public databases were searched t Read More
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An In Silico Investigation of SPC24 as a Putative Biomarker of Kidney Renal Clear Cell Carcinoma and Kidney Renal Papillary Cell Carcinoma for Predicting Prognosis and/or Immune Infiltration
Authors: Shengqiang Fu, Binbin Gong, Yi Ding, Changshui Zhuang, Qiang Chen, Siyuan Wang, Zhilong Li, Ming Ma, Yifu Liu, Zhicheng Zhang and Ting SunBackground and Objective: SPC24 was reported to be correlated with the development of many cancers. However, its role in renal cancer was unclear. Our aim was to explore the role of SPC24 in kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP) in types of renal cancer. Methods: SPC24 expressions in KIRC and KIRP were firstly analyzed. Subsequently, the correlation between SPC24 Read More
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In-silico Validation of the Proposed Treatment Strategy of Periodontitis
Objective: The present study aims to assess a proposed treatment approach or therapy for periodontitis by using the in-silico technique. The proposed treatment strategy offers a singular vehicular system consisting of minocycline (antibiotic), celecoxib (selective COX-II inhibitor), doxycycline hyclate (matrix metalloproteinase inhibitor), and hydroxyapatite (osteogenic agent). Material and Methods: Molecular dockin Read More
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Volumes & issues
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Volume 28 (2025)
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Volume 27 (2024)
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Volume 26 (2023)
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Volume 25 (2022)
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Volume 24 (2021)
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Volume 23 (2020)
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Volume 22 (2019)
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Volume 21 (2018)
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Volume 20 (2017)
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Volume 19 (2016)
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Volume 18 (2015)
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Volume 17 (2014)
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Volume 16 (2013)
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Volume 15 (2012)
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Volume 14 (2011)
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Volume 13 (2010)
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Volume 12 (2009)
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Volume 11 (2008)
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Volume 10 (2007)
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Volume 9 (2006)
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Volume 8 (2005)
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Volume 7 (2004)
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Volume 6 (2003)
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Volume 5 (2002)
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Volume 4 (2001)
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Volume 3 (2000)
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