IET Systems Biology最新文献

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In silico analysis of the association between long non-coding RNA family with sequence similarity 99 member A (FAM99A) and hepatic cancer 具有序列相似性的长链非编码RNA家族99成员A (FAM99A)与肝癌相关性的计算机分析
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2023-02-28 DOI: 10.1049/syb2.12062
Manyi Sun, Shuhua Lv, Jin Zhong
{"title":"In silico analysis of the association between long non-coding RNA family with sequence similarity 99 member A (FAM99A) and hepatic cancer","authors":"Manyi Sun,&nbsp;Shuhua Lv,&nbsp;Jin Zhong","doi":"10.1049/syb2.12062","DOIUrl":"10.1049/syb2.12062","url":null,"abstract":"<p>The link between family with sequence similarity 99 member A (<i>FAM99A</i>), a type of long non-coding RNA, and tumourigenesis remains ambiguous. Therefore, in this study, the authors conducted an expression profile analysis of <i>FAM99A</i> based on 33 types of cancer within The Cancer Genome Atlas project. The expression profile data revealed low expression levels of <i>FAM99A</i> in hepatocellular carcinoma, cholangiocarcinoma, and testicular germ cell tumour tissues than in the normal control tissues. Survival analysis indicated a correlation between low <i>FAM99A</i> expression and worse survival outcome in patients with hepatic cancer. Further investigation revealed the possible implication of DNA methylation, but not copy number variation, in <i>FAM99A</i>-associated hepatic tumourigenesis. The authors also identified a set of differentially expressed genes between patients with hepatic cancer and negative controls, which were found to be related to biochemical metabolism or the cell cycle. Additionally, <i>FAM99A</i> expression may be associated with the infiltration status of several immune cells, such as dendritic cells, natural killer cells, and neutrophils. Overall, <i>FAM99A</i> may function as a prognostic marker that is potentially associated with DNA methylation, immune cell infiltration, and biochemical metabolism in hepatic cancer.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/6e/1f/SYB2-17-83.PMC10116027.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9408287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Down-regulation and clinical significance of Sorbin and SH3 domain-containing protein 1 in bladder cancer tissues Sorbin和SH3结构域蛋白1在膀胱癌组织中的下调及临床意义
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2023-02-28 DOI: 10.1049/syb2.12060
Sheng-Hua Li, Gao-Qiang Zhai, Rong-Quan He, Gang Chen, Shi-Shuo Wang, Jia-Lin Liu, Ji-Wen Cheng, Hai-Biao Yan, Zhi-Guang Huang
{"title":"Down-regulation and clinical significance of Sorbin and SH3 domain-containing protein 1 in bladder cancer tissues","authors":"Sheng-Hua Li,&nbsp;Gao-Qiang Zhai,&nbsp;Rong-Quan He,&nbsp;Gang Chen,&nbsp;Shi-Shuo Wang,&nbsp;Jia-Lin Liu,&nbsp;Ji-Wen Cheng,&nbsp;Hai-Biao Yan,&nbsp;Zhi-Guang Huang","doi":"10.1049/syb2.12060","DOIUrl":"10.1049/syb2.12060","url":null,"abstract":"<p>Bladder cancer (BC) is a common cancer worldwide with a high prevalence. This study was conducted to elucidate the expression and clinical significance of Sorbin and SH3 domain-containing protein 1 (SORBS1) in BC as well as to explore its molecular mechanism in BC tumourigenesis. RNA-sequencing data, microarray, and Immunohistochemistry (IHC) were applied to elucidated the SORBS1 expression at multiple levels. After that, the relationship between tumour-immune infiltration and SORBS1 was also explored. Finally, SORBS1-related genes in BC were identified to perform functional enrichment analyses. The expression integration revealed that the comprehensive expression of SORBS1 at the mRNA level was −1.02 and that at the protein level was −3.73, based on 12 platforms, including 1221 BC and 187 non-BC samples. SORBS1 was negatively correlated with tumour purity (correlation = −0.342, <i>p</i> &lt; 0.001) and positively correlated with macrophage (correlation = 0.358, <i>p</i> &lt; 0.001). The results of enrichment analyses revealed that the most significant biological pathways of SORBS1-related genes were epithelial-mesenchymal transition. SORBS1 was significantly down-regulated in BC and may play a role as tumour suppressor. This study provides new directions and biomarkers for future BC diagnosis.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/19/5a/SYB2-17-70.PMC10116029.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9414623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identification of molecular subtypes of ischaemic stroke based on immune-related genes and weighted co-expression network analysis 基于免疫相关基因和加权共表达网络分析的缺血性脑卒中分子亚型鉴定
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2023-02-18 DOI: 10.1049/syb2.12059
Duncan Wei, Xiaopu Chen, Jing Xu, Wenzhen He
{"title":"Identification of molecular subtypes of ischaemic stroke based on immune-related genes and weighted co-expression network analysis","authors":"Duncan Wei,&nbsp;Xiaopu Chen,&nbsp;Jing Xu,&nbsp;Wenzhen He","doi":"10.1049/syb2.12059","DOIUrl":"10.1049/syb2.12059","url":null,"abstract":"<p>Immune system has been reported to play a key role in the development of ischaemic stroke (IS). Nevertheless, its exact immune-related mechanism has not yet been fully revealed. Gene expression data of IS and healthy control samples was downloaded from Gene Expression Omnibus database and differentially expressed genes (DEGs) was obtained. Immune-related genes (IRGs) data was downloaded from the ImmPort database. The molecular subtypes of IS were identified based on IRGs and weighted co-expression network analysis (WGCNA). 827 DEGs and 1142 IRGs were obtained in IS. Based on 1142 IRGs, 128 IS samples were clustered into two molecular subtypes: clusterA and clusterB. Based on the WGCNA, the authors found that the blue module had the highest correlation with IS. In the blue module, 90 genes were screened as candidate genes. The top 55 genes were selected as the central nodes according to gene degree in protein–protein interactions network of all genes in blue module. Through taking overlap, nine real hub genes were obtained that might distinguish between clusterA subtype and clusterB subtype of IS. The real hub genes (IL7R, ITK, SOD1, CD3D, LEF1, FBL, MAF, DNMT1, and SLAMF1) may be associated with molecular subtypes and immune regulation of IS.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/syb2.12059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9464238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive analysis of LILR family genes expression and tumour-infiltrating immune cells in early-stage pancreatic ductal adenocarcinoma 早期胰腺导管腺癌中LILR家族基因表达及肿瘤浸润免疫细胞的综合分析
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2023-02-07 DOI: 10.1049/syb2.12058
Qiang Gao, Shutian Mo, Chuangye Han, Xiwen Liao, Chengkun Yang, Xiangkun Wang, Tianyi Liang, Yongfei He, Zijun Chen, Guangzhi Zhu, Hao Su, Xinping Ye, Tao Peng
{"title":"Comprehensive analysis of LILR family genes expression and tumour-infiltrating immune cells in early-stage pancreatic ductal adenocarcinoma","authors":"Qiang Gao,&nbsp;Shutian Mo,&nbsp;Chuangye Han,&nbsp;Xiwen Liao,&nbsp;Chengkun Yang,&nbsp;Xiangkun Wang,&nbsp;Tianyi Liang,&nbsp;Yongfei He,&nbsp;Zijun Chen,&nbsp;Guangzhi Zhu,&nbsp;Hao Su,&nbsp;Xinping Ye,&nbsp;Tao Peng","doi":"10.1049/syb2.12058","DOIUrl":"10.1049/syb2.12058","url":null,"abstract":"<p>Leucocyte immunoglobulin-like receptors (LILRs) are closely related to tumourigenesis, but their clinical value in early-stage pancreatic ductal adenocarcinoma (PDAC) after pancreaticoduodenectomy remains unknown. Kaplan–Meier and Cox proportional hazards regression models is used to investigate the association between LILR expression and prognosis in tumour biopsies and peripheral blood mononuclear cells. Risk score was calculated for each patient based on the prognostic model. DAVID, STRING, GeneMANIA, and GSEA were used to conduct pathway and functional analyses. The CIBERSORT algorithm is used to analyse tumour-infiltrating immune cells. Survival analysis showed that high levels of <i>LILRA4</i> (<i>p</i> = 0.006) and <i>LILRB4</i> (<i>p</i> = 0.04) were significantly associated with better overall survival. High levels of <i>LILRA2</i> (<i>p</i> = 0.008) and <i>LILRB4</i> (<i>p</i> = 0.038) were significantly associated with better relapse-free survival. JAK-STAT signalling pathway, regulation of T cell activation, regulation of the immune effector process, and tumour necrosis factor superfamily cytokine production were involved in molecular mechanisms that affected poor prognoses in the high-risk group in GSEA. CIBERSORT demonstrated that the high-risk group had significantly higher infiltrating fraction of memory-activated CD4 T cells and activated NK cells and lower fraction of resting dendritic cells and neutrophils. <i>LILRB4</i> plays crucial roles in affecting the clinical outcomes of early-stage PDAC.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/syb2.12058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9408168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Development and validation of an immune-related gene signature for prognosis in Lung adenocarcinoma 肺腺癌预后免疫相关基因标记的开发和验证
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2023-02-02 DOI: 10.1049/syb2.12057
Zehuai Guo, Xiangjun Qi, Zeyun Li, Jianying Yang, Zhe Sun, Peiqin Li, Ming Chen, Yang Cao
{"title":"Development and validation of an immune-related gene signature for prognosis in Lung adenocarcinoma","authors":"Zehuai Guo,&nbsp;Xiangjun Qi,&nbsp;Zeyun Li,&nbsp;Jianying Yang,&nbsp;Zhe Sun,&nbsp;Peiqin Li,&nbsp;Ming Chen,&nbsp;Yang Cao","doi":"10.1049/syb2.12057","DOIUrl":"10.1049/syb2.12057","url":null,"abstract":"<p>The most common type of lung cancer tissue is lung adenocarcinoma. The TCGA-LUAD cohort retrieved from the TCGA dataset was considered the internal training cohort, while GSE68465 and GSE13213 datasets from the GEO database were used as the external test cohort. The TCGA-LUAD cohort was classified into two immune subtypes using single-sample gene set enrichment analysis of the immune gene set and unsupervised clustering analysis. The ESTIMATE algorithm, the CIBERSORT algorithm, and HLA family expression levels again validated the reliability of this typing. We performed Venn analysis using immune-related genes from the immport dataset and differentially expressed genes from the subtypes to retrieve differentially expressed immune genes (DEIGs). In addition, DEIGs were used to construct a prognostic model with the least absolute shrinkage and selection operator regression analysis. A reliable risk model consisting of 11 DEIGs, including S100P, INHA, SEMA7A, INSL4, CD40LG, AGER, SERPIND1, CD1D, CX3CR1, SFTPD, and CD79A, was then built, and its reliability was further confirmed by ROC curve and calibration plot analysis. The high-risk score subgroup had a poor prognosis and a lower tumour immune dysfunction and exclusion score, indicating a greater likelihood of anti-PD-1/cytotoxic T lymphocyte antigen 4 benefit.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7a/3e/SYB2-17-27.PMC9931057.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10831691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer 胰头癌选择性剪接特征的综合分析
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2022-12-07 DOI: 10.1049/syb2.12056
Lingshan Zhou, Yuan Yang, Jian Ma, Min Liu, Rong Liu, Xiaopeng Ma, Chengdong Qiao
{"title":"Comprehensive analysis of alternative splicing signatures in pancreatic head cancer","authors":"Lingshan Zhou,&nbsp;Yuan Yang,&nbsp;Jian Ma,&nbsp;Min Liu,&nbsp;Rong Liu,&nbsp;Xiaopeng Ma,&nbsp;Chengdong Qiao","doi":"10.1049/syb2.12056","DOIUrl":"10.1049/syb2.12056","url":null,"abstract":"<p>The correlation between dysregulation of splicing and cancers has been increasingly recognised and confirmed. The identification of valuable alternative splicing (AS) in pancreatic head cancer (PHC) has a great significance. AS profiles in PHC were generated using the data from The Cancer Genome Atlas and TCGASpliceSeq. Then, the NMF clustering method was performed to identify overall survival-associated AS (OS-AS) subtypes in PHC patients. Subsequently, we used least absolute shrinkage and selection operator Cox regression analysis to construct an AS-related risk model. The splicing regulatory network was uncovered by Cytoscape 3.7. A total of 1694 OS-AS events were obtained. The PHC patients were divided into clusters 1 and 2. Cluster 1 had poorer prognosis and lower infiltration of immune cells. Subsequently, a prognostic signature was established that showed good performance in predicting OS and progression-free survival. The risk score of this signature was associated with the unique tumour immunity. Moreover, a nomogram incorporating the risk score and clinicopathological parameters was established. Finally, a splicing factor-AS regulatory network was developed. A comprehensive analysis of the AS events in PHC associated with prognosis and tumour immunity may help provide reliable information to guide individual treatment strategies.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/bb/64/SYB2-17-14.PMC9931058.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10825607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effect of normalisation and error model choice on the distribution of the maximum likelihood estimator for a biochemical reaction 归一化和误差模型选择对生化反应最大似然估计量分布的影响
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2022-11-28 DOI: 10.1049/syb2.12055
Caterina Thomaseth, Nicole E. Radde
{"title":"The effect of normalisation and error model choice on the distribution of the maximum likelihood estimator for a biochemical reaction","authors":"Caterina Thomaseth,&nbsp;Nicole E. Radde","doi":"10.1049/syb2.12055","DOIUrl":"10.1049/syb2.12055","url":null,"abstract":"<p>Sparse and noisy measurements make parameter estimation for biochemical reaction networks difficult and might lead to ill-posed optimisation problems. This is potentiated if the data has to be normalised, and only fold changes rather than absolute amounts are available. Here, the authors consider the propagation of measurement noise to the distribution of the maximum likelihood (ML) estimator in an in silico study. Therefore, a model of a reversible reaction is considered, for which reaction rate constants using fold changes is estimated. Noise propagation is analysed for different normalisation strategies and different error models. In particular, accuracy, precision, and asymptotic properties of the ML estimator is investigated. Results show that normalisation by the mean of a time series outperforms normalisation by a single time point in the example provided by the authors. Moreover, the error model with a heavy-tail distribution is slightly more robust to large measurement noise, but, beyond this, the choice of the error model did not have a significant impact on the estimation results provided by the authors.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a4/92/SYB2-17-1.PMC9931059.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9076339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Genes associated with diagnosis and prognosis of Burkitt lymphoma 与伯基特淋巴瘤诊断和预后相关的基因。
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2022-11-10 DOI: 10.1049/syb2.12054
Albert Doughan, Samson Pandam Salifu
{"title":"Genes associated with diagnosis and prognosis of Burkitt lymphoma","authors":"Albert Doughan,&nbsp;Samson Pandam Salifu","doi":"10.1049/syb2.12054","DOIUrl":"10.1049/syb2.12054","url":null,"abstract":"<p>Burkitt lymphoma (BL) is one of the most aggressive forms of non-Hodgkin's lymphomas that affect children and young adults. The expression of genes and other molecular markers during carcinogenesis can be the basis for diagnosis, prognosis and the design of new and effective drugs for the management of cancers. The aim of this study was to identify genes that can serve as prognostic and therapeutic targets for BL. We analysed RNA-seq data of BL transcriptome sequencing projects in Africa using standard RNA-seq analyses pipeline. We performed pathway enrichment analyses, protein–protein interaction networks, gene co-expression and survival analyses. Gene and pathway enrichment analyses showed that the differentially expressed genes are involved in tube development, signalling receptor binding, viral protein interaction, cell migration, external stimuli response, serine hydrolase activity and PI3K-Akt signalling pathway. Protein–protein interaction network analyses revealed the genes to be highly interconnected, whereas module analyses revealed 25 genes to possess the highest interaction score. Overall survival analyses delineated six genes (ADAMTSL4, SEMA5B, ADAMTS15, THBS2, SPON1 and THBS1) that can serve as biomarkers for prognosis for BL management.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10500144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Erratum: Identifying genuine protein–protein interactions within communities of gene co-expression networks using a deconvolution method 勘误:鉴定真正的蛋白质蛋白质相互作用的社区内的基因共表达网络使用反卷积方法
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2022-10-29 DOI: 10.1049/syb2.12053
{"title":"Erratum: Identifying genuine protein–protein interactions within communities of gene co-expression networks using a deconvolution method","authors":"","doi":"10.1049/syb2.12053","DOIUrl":"10.1049/syb2.12053","url":null,"abstract":"<p>The authors wish to bring to the readers' attention the following errors in the article by Jin Zhang and Shan Ju, ‘Identifying genuine protein–protein interactions within communities of gene co-expression networks using a deconvolution method’.</p><p>In Section 5 Acknowledgements, one grant/award number was omitted. ‘XBS’ should be ‘XBS1822’.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675411/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40432245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and implementation of an adaptive fuzzy sliding mode controller for drug delivery in treatment of vascular cancer tumours and its optimisation using genetic algorithm tool 基于遗传算法的血管肿瘤药物传递自适应模糊滑模控制器的设计与实现
IF 2.3 4区 生物学
IET Systems Biology Pub Date : 2022-09-30 DOI: 10.1049/syb2.12051
Ehsan Sadeghi Ghasemabad, Iman Zamani, Hami Tourajizadeh, Mahdi Mirhadi, Zahra Goorkani Zarandi
{"title":"Design and implementation of an adaptive fuzzy sliding mode controller for drug delivery in treatment of vascular cancer tumours and its optimisation using genetic algorithm tool","authors":"Ehsan Sadeghi Ghasemabad,&nbsp;Iman Zamani,&nbsp;Hami Tourajizadeh,&nbsp;Mahdi Mirhadi,&nbsp;Zahra Goorkani Zarandi","doi":"10.1049/syb2.12051","DOIUrl":"10.1049/syb2.12051","url":null,"abstract":"<p>In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by designing two optimal non-linear controllers. The related gains of the designed controllers are optimised using genetic algorithm and simultaneously are adapted by employing the Fuzzy scheduling method. The cancer dynamic model is extracted with five differential equations, including normal cells, endothelial cells, cancer cells, and the amount of two chemotherapy and anti-angiogenic drugs left in the body as the engaged state variables, while double drug injection is considered as the corresponding controlling signals of the mentioned state space. This treatment aims to reduce the tumour cells by providing a timely schedule for drug dosage. In chemotherapy, not only the cancer cells are killed but also other healthy cells will be destroyed, so the rate of drug injection is highly significant. It is shown that the simultaneous application of chemotherapy and anti-angiogenic therapy is more efficient than single chemotherapy. Two different non-linear controllers are employed and their performances are compared. Simulation results and comparison studies show that not only adding the anti-angiogenic reduce the side effects of chemotherapy but also the proposed robust controller of sliding mode provides a faster and stronger treatment in the presence of patient parametric uncertainties in an optimal way. As a result of the proposed closed-loop drug treatment, the tumour cells rapidly decrease to zero, while the normal cells remain healthy simultaneously. Also, the injection rate of the chemotherapy drug is very low after a short time and converges to zero.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10499624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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