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Bioinformatics Analysis of Stromal Molecular Signatures Associated with Breast and Prostate Cancer

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机构: [1]Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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关键词: bioinformatics analysis chemicals differentially expressed genes Gene Ontology analysis stromal molecules

摘要:
This study aimed to identify stromal molecular signatures associated with breast and prostate cancer. The microarray data GSE26910 was downloaded from Gene Expression Omnibus database, including six invasive breast tumor stroma, six matched normal controls, six invasive prostate tumor stroma, and six matched controls. The differentially expressed genes (DEGs) in invasive breast and prostate tumors stroma were, respectively, identified. Then common stromal genes (B_P.DEGs) were further screened. Protein-protein interaction (PPI) network was constructed and Gene Ontology analysis was performed. Besides, gene-chemical interactions were mapped in Comparative Toxicogenomics Database to screen the chemicals related to feature genes. The results showed that, in total, 16 B_P.DEGs were identified. Thereinto, only seven B_P.DEGs were mapped into PPI, and only four functional modules (adenylate cyclase activating polypeptide 1 (pituitary) receptor type I (ADCYAP1R1) module, aspartoacylase (ASPA) module, glutathione S-transferase mu 5 (GSTM5) module, and periplakin (PPL) module) were involved in important biological processes associated with cancer progression. In addition, the chemicals, such as dihydrotestosterone, apocarotenal, testosterone, and progesterone, were screened for the roles of feature genes in the progression of breast and prostate cancer. In conclusion, ADCYAP1R1, GSTM5, and PPL were stromal molecular signatures and might play a key role in the progression of breast and prostate cancer.

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出版当年[2018]版:
大类 | 4 区 生物
小类 | 3 区 统计学与概率论 4 区 生化研究方法 4 区 生物工程与应用微生物 4 区 计算机:跨学科应用 4 区 数学与计算生物学
最新[2023]版:
大类 | 4 区 生物学
小类 | 4 区 生化研究方法 4 区 生物工程与应用微生物 4 区 计算机:跨学科应用 4 区 数学与计算生物学 4 区 统计学与概率论
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出版当年[2017]版:
Q2 STATISTICS & PROBABILITY Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q4 BIOCHEMICAL RESEARCH METHODS Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
最新[2023]版:
Q2 STATISTICS & PROBABILITY Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q4 BIOCHEMICAL RESEARCH METHODS Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY

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第一作者机构: [1]Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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通讯机构: [1]Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. [*1]Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai 200336, China [*2]Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai 200336, China
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